Volume V Issue VII

A Comprehensive Review over Green Synthesis of Graphene

Saheli Kar, Soumyadip Saha, Sriya Dutta, Dipak Rana, Sourav Sadhukhan and Tapas Kumar Ghosh – July 2018 Page No.: 01-12

Energy security has become a serious global issue and a lot of research is being carried out to look for economically viable environment friendly alternatives. Recent years Graphene has acquired immense recognition among various researchers. Synthesis of graphene through green route has now become a paramount area. The prospects of producing Reduced Graphene Oxide (RGO) from different types of green material appear bright because of its sustainability, low cost and environment friendly in nature. Conventional chemical reducing agents are highly toxic, hazardous and harmful to both environment and human life. The object of this article is to provide a comprehensive review on various methods of Reduced Graphene Oxide (RGO) from green synthesis to date, as well as to discuss their advantages, disadvantages and beneficially characterization. In this article we covered all areas of the green methods which employed in natural reduction of Graphene Oxide (GO) including use of plant extracts, microorganisms, endogenous agents, metal-mediated procedure, bacterial respiration procedure, bio-antioxidant (Melatonin), baker’s yeast, non-harmful acids (hydriodic acids, trifluroacetic acid), glucose and glucosamine apart from some of the latest green technologies. The synthesized Graphene Oxide (GO) and green Reduced Graphene Oxide (RGO) samples were characterized using several methods. The formation of Reduced Graphene Oxide (RGO) was evident from Ultraviolet visible spectroscopy (UV-Vis) and Fourier Transform Infrared (FTIR) spectroscopic analysis which implied a clear indication of the removal of oxygen containing groups from the Graphene Oxide (GO). Additionally the thermal stability of the Reduced Graphene Oxide (RGO) nanomaterial was scrutinized using thermo gravimetric analysis or thermal gravimetric analysis (TGA). Dynamic Light Scattering (DLS) was also utilized for zeta potential measurements to monitor the stability and size of the obtained Reduced Graphene Oxide (RGO) sheets. Other spectroscopic techniques are SEM (Scanned Electron Microscopy), TEM(Transmission Electron Microscopy) etc. Further research is required in this area for successful implementation of this technology at production scale.

Page(s): 01-12                                                                                                                   Date of Publication: 12 July 2018

 Saheli Kar
Department of Chemical Engineering, Calcutta Institute of Technology, Uluberia, Howrah 711316, India

 Soumyadip Saha
Department of Chemical Engineering, Calcutta Institute of Technology, Uluberia, Howrah 711316, India

 Sriya Dutta
Department of Chemical Engineering, Calcutta Institute of Technology, Uluberia, Howrah 711316, India

 Dipak Rana
Departments of Chemical and Biological Engineering, Industrial Membrane Research Institute, University of Ottawa, 161 Louis Pasteur St., Ottawa, ON, K1N 6N5, Canada

 Sourav Sadhukhan
Department of Polymer Science and Technology, University of Calcutta, 92 A.P.C. Road, Kolkata 700 009, India

 Tapas Kumar Ghosh
Department of Chemical Engineering, Calcutta Institute of Technology, Uluberia, Howrah 711316, India
Department of Chemistry, West Bengal State University, Barasat, Kolkata 700126, India
Department of Polymer Science and Technology, University of Calcutta, 92 A.P.C. Road, Kolkata 700 009, India

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Saheli Kar, Soumyadip Saha, Sriya Dutta, Dipak Rana, Sourav Sadhukhan and Tapas Kumar Ghosh “A Comprehensive Review over Green Synthesis of Graphene” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp.01-12 July 2018  URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/01-12.pdf

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Simulation of Higher Order All Pass Filter using OTRA
Vivek Bhatt, Sushant Shekhar – July 2018 – Page No.: 13-15

In this research paper, a single-input single-output (SISO) care presented. The presented design is based on the Operational transresistance amplifier (OTRA) and it is preferred due to its high slew rate and wider bandwidth over the conventional operational amplifier circuit. Here Butterworth, Chebyshev and Bessel Higher order All Pass filter structure are simulated with PSPICE using 0.5μm CMOS technology; also simulated result follows the theoretical one.

Page(s): 13-15                                                                                                                   Date of Publication: 12 July 2018

 Vivek Bhatt
Department of Electronics and Communication Engineering, Tula’s Institute, Dehradun, Uttarakhand, India

 Sushant Shekhar
Department of Electronics and Communication Engineering, Tula’s Institute, Dehradun, Uttarakhand, India

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Vivek Bhatt, Sushant Shekhar “Simulation of Higher Order All Pass Filter using OTRA” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp.13-15 July 2018 URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/13-15.pdf

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A First-Order System Approach for Burgers’ Equation
Rajashekhar P L – July 2018 – Page No.: 16-17

In this paper, we try to use a first-order system approach for Burgers’ equation. A non-linear partial differential equation is converted into a system of linear equations with non-linear source terms, known as a ‘relaxation system’. The new strategy is to solve an equivalent first order hyperbolic system instead of the second-order non-linear partial differential equation. The numerical solutions obtained through this approach have same order accuracy in space and time.

Page(s): 16-17                                                                                                                   Date of Publication: 12 July 2018

 Rajashekhar P L
Assistant Professor, Department of Mathematics, RVCE, Bengaluru, Karnataka, India

Jin S and Xin Z., The relaxation schemes for systems of conservation laws in arbitrary space dimensions, Communications in Pure and Applied Maths, 235-276, 1995

Rajashekhar P L “A First-Order System Approach for Burgers’ Equation ” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp. 16-17 July 2018 URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/16-17.pdf

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Growth of Mutual Funds in the Era of Recent Socio – Economic Advances in India

Mandakini Garg, Dr. Shobhit – July 2018 Page No.: 18-23

Mutual funds are the instruments used to mobilize savings into profitable investments. Since mutual funds accept small deposits, it is very feasible for the small investors to easily become the part of financial market. Mutual funds are linked to the financial market and give access to equity, debt and money market instruments. Since its beginning from 1963 to 2017, it has showed the remarkable rise in number of accounts as well as investment corpus. Mutual fund industry is experiencing the growth as AUM (Assets Under Management) have grown three and half fold in December 2017 more than in march 2012 i.e. 21.27 trillion in 2017 and 5.87 trillion in March 2012. Beginning from one player, now it is increased to 44 major players. Public, private and foreign financial undertakings are actively participating in expansion of mutual fund industry. Financial market suffered a major downfall in 2008 due to US meltdown which affected mutual funds industry. But, mutual funds gained its momentum from 2011-2012. After 2012, mutual fund industry has grown in huge numbers. Investors are influenced towards mutual funds as they can easily become the part of financial market and they are also disheartened by the sluggish growth of real estate, low return from gold and silver etc. As of Dec 31 2017, the number of folios in mutual funds stood at 55.4 million witnessing a growth of 15% CAGR over the last two years. The total number of accounts (SIP’s) has risen and reached to 6.65 crores in which retail contribution amounts to 5.46 crores. As investors inclination towards mutual funds is increasing so companies are even focusing more to promote the investment. Now a day, the investors have started using the digital mode for purchase and repurchase of mutual funds units. With the help of digitalization, investors feel very easy to operate in financial market. All the mutual funds companies initiated online approach for investors as investors can easily invest through the mobile apps as well as from their websites. Even KYC norms are to be strictly followed as they help the investors to invest easily in mutual funds as per their convenience.
This paper will highlight the growth of mutual funds in last ten years. It will also reflect the various reasons (macro economic factors) for the various fluctuations in mutual funds industry in last ten years.

Page(s): 18-23                                                                                                                   Date of Publication: 12 July 2018

 Mandakini Garg
Assistant Professor, Pranveer Singh Institute of Technology, Kanpur, Uttar Pradesh, India
Ph.D scholar, Amity University, Lucknow, Uttar Pradesh, India

 Dr. Shobhit
Assistant Professor, Amity University, Lucknow, Uttar Pradesh, India

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[9]. Prof Gauri Prabhu, d. n. (n.d.). perception of indian investor towards investment in mutual funds with special reference to mip funds. iosr journal of economics and finance , 66-74.
[10]. Solanki, a. (2016). a study of performance evaluation of mutualfund and reliance mutual fund. abhinav national monthly refereed journal of research in commerce & management , 5 (5), 1-6.
[11]. Vipin Kumar, P. B. (2014). A Study on Investors’ Behavior towards Mutual Funds in Rohtak, Haryana. International Journal of Engineering and Management Research , 4 (1), 224-228.
[12]. Kurian, A.P.; Making Mutual Funds Work for You; Association of Mutual Funds in India; Mumbai; 2008; p.2.
[13]. Bansal, Lalit K.; Mutual Funds Management and Working –; Deep and Deep publications; New Delhi; 1996; pp.24 & 26.
[14]. Amitabh Gupta Quoted by Bansal, Lalit K.; Mutual Funds – Management and Working; Deep and Deep Publications; New Delhi; 1996; pp.24 & 26.
[15]. Gupta, Amitabh; Mutual Funds in India – A Study of Investment Management; Anmol Publications Pvt. Ltd.; New Delhi; 2002; p.21.
[16]. Workbook for NISM – Series – V – A: Mutual Fund Distributors Certification Examination; National Institute of Securities Markets; Mumbai; 2010; pp.141 & 142.

Mandakini Garg, Dr. Shobhit “Growth of Mutual Funds in the Era of Recent Socio – Economic Advances in India” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp.18-23 July 2018  URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/18-23.pdf

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Study on Strength Properties of Concrete with Admixture Containing Copper Slag at Various Proportions
Nanubilli Ramu, Bandlamudi Kishore Babu, Rai David Sanjay – July 2018 – Page No.: 24-28

This paper investigates the effect of concrete with iron slag as admixture using copper slag as fine aggregate replacement. Owing to the scarcity of river sand and expensiveness of cement materials in concrete, partial or full replacement of copper slag with sand as it is having silica content as sand and partial replacement of cement with iron slag were performed as it is having similar binding and chemical properties of cement. The test results were obtained for M30 mix by adding copper slag to sand in various percentages ranging from 0%, 20%, 40%, 60%, 80% & 100% at 10% iron slag as a replacement with cement in concrete which is approved by Indian Standards. All specimens were cured for 7, 28 days before compressive strength test, split tensile test and flexural strength test and optimistic percentage of copper slag and ferrous slag was found.

Page(s): 24-28                                                                                                                   Date of Publication: 16 July 2018

 Nanubilli Ramu
Assistant Professor, Department of Civil Engineering, Vignan Institute of Information Technology, Duvvada, Visakhapatnam, Andhra Pradesh, India

 Bandlamudi Kishore Babu
B.Tech Student, Department of Civil Engineering, Vignan Institute of Information Technology, Duvvada, Visakhapatnam, Andhra Pradesh, India

 Rai David Sanjay
Structural Engineer, Rayi Design Consultants, Visakhapatnam, Andhra Pradesh, India

[1]. Meenakshi and Illangovan “Performance of copper slag and ferrous slag as partial replacement of concrete”, International journal of civil and structural engineering April 2011. ISSN 0976-4399
[2]. M.V. Patil and Y. D. Patil “Effects of using copper slag as sand replacement in concrete”, IJET e- ISSN 0975-4024
[3]. Samdish abrol and Puneet sharma “Effect of iron slag in concrete”,IJCE 2016, e- ISSN: 1694- 2280
[4]. MIX DESIGN followed by IS code 10262 :2009.
[5]. Khalifa S Al-Jabri, Makoto Hisada, Salem K Al-Oraimi, Abdullah H Al-Saidy, “Copper slag as sand replacement for high performance concrete”, Cement & Concrete Composites, Vol. 31, 2009, pp. 483–488.
[6]. R R Chavan & D B Kulkarni, Performance of copper slag on strength properties as partial replace of fine aggregate in concrete Mix Design, International Journal of Civil and Structural Engineering Volume 1 No.4 (2011).
[7]. Arivalagan.S, Experimental Study on the Flexural Behavior of Reinforced Concrete Beams as Replacement of Copper Slag as Fine Aggregate, Journal Of Civil Engineering And Urbanism Volume 3 (2013).
[8]. Atul Dubey, Dr.R.Chandak, Prof. R.K. Yadav, “Effect of blast furnace slag powder on compressive strength of concrete” International Journal of Science & Engineering Research ISSN: 2229- 5518 Vol. 3, Issue. 8, August 2012
[9]. Prasanna Kumar C and Dr. Shashishankar “Utilization of Copper Slag in M-Sand as Partial Replacement of Fine Aggregate” Volume VI, Issue XII, December 2017 | ISSN 2278-2540
[10]. Ayman M. Othman, Hassan Y. Ahmed “Effect of Blast Furnace Iron Slag on the Mechanical Performance of Hot Mix Asphalt (HMA)” International Journal of Civil and Environmental Engineering Vol:10, No:3, 2016

Nanubilli Ramu, Bandlamudi Kishore Babu, Rai David Sanjay “Study on Strength Properties of Concrete with Admixture Containing Copper Slag at Various Proportions” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp.24-28 July 2018 URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/24-28.pdf

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Value Engineering in Arch Bridge Construction
Nadeel Alam, Khushal Chaudhari, Lalit Khadayte, Dr. D. K. Shinde – July 2018 – Page No.: 29-31

The arches are one of the oldest standing bridge structures. These bridges that were made of stone and brick masonry remain operational after hundreds of years. Arch Bridges made of Brickand Stone masonry have stood the test of time for centuries and they are still operational. Arch Bridges carry only compression forces. In the modern era with growing environmental concern and accumulation of waste and pollutant it becomes necessary to adopt sustainable construction techniques. Arch bridges require high initial cost, precision and due to time consuming construction process, very few arch bridges have been built since the early 1900s. Hence the development of flexi Arch bridge. The Flexi Arches can be installed rapidly, in less than a day rather than months, they prove to be economical than other precast bridges, for length of bridges greater more than 30 meters the economy is more as the high initial cost in machinery is taken care. These Arches have all the characteristics of masonry arches.

Page(s): 29-31                                                                                                                   Date of Publication: 16 July 2018

 Nadeel Alam
PG Students, Production Department, Veermata Jijabai Technological Institute, Mumbai, Maharashtra, India

 Khushal Chaudhari
PG Students, Production Department, Veermata Jijabai Technological Institute, Mumbai, Maharashtra, India

 Lalit Khadayte
PG Students, Production Department, Veermata Jijabai Technological Institute, Mumbai, Maharashtra, India

 Dr. D. K. Shinde
Associate Professor, Production Department, Veermata Jijabai Technological Institute, Mumbai, Maharashtra, India

[1]. Gupta A and Hogg I “MONITORING OF MONKSTOWN BRIDGE A NOVEL FLEXI-ARCH BRIDGE SYSTEM,” ARCHIE-M: Masonry Arch Bridges and Viaduct Assessment Software, Version 2.0.8, OBVIS Ltd. UK, 2006..
[2]. A. Long, A. Gupta, D. McPolin and D. Courtenay, “INNOVATIVE METHOD FOR THE RAPID CONSTRUCTION OF ARCHESIstanbul Bridge Conference August 11-13, 2014 Istanbul, Turkey.
[3]. Long, A., McPolin, D., Kirkpartick, J., Gupta, A., & Courtenay, D. (2014). FlexiArch: from concept to practical applications. Structural Engineer, 92(7), 10-15.
[4]. Duncan, J.M., Dunphy, Byrne, P., Wong, K. and Mabry, P. (1980) “Strength, stressstrain and Bulk modulus parameters for finite element analysis of stresses and movements in soil masses” Report No. UCB/GT/80-01. Department of Civil Engineering, University of California, Berkeley USA.

Nadeel Alam, Khushal Chaudhari, Lalit Khadayte, Dr. D. K. Shinde “Value Engineering in Arch Bridge Construction ” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp. 29-31 July 2018 URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/29-31.pdf

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Experimental Investigation of Natural Convection Heat Transfer from Vertical Grooved Plates

Pralesh A. Lawande – July 2018 Page No.: 32-37

The areas such as microelectronic cooling, especially in central processing units, macro and micro scale heat exchangers, gas turbine internal airfoil cooling, fuel elements of nuclear power plants, and bio medical devices here heat transfer enhancement concept is used .In this work experimental investigation of natural convection heat transfer from vertical roughened surfaces has been carried out. The effect of variation in surface roughness and heat input on convective heat transfer coefficient and Nusselt number has also been evaluated. Natural convection from heat transfer from vertical roughened plates has experimentally been compared to that of plain plate. Three different roughened surfaces are made by varying pitch and by varying the depth of roughness. With increase in surface roughness the heat transfer rate, convective heat transfer coefficient and Nusselt number increases compared with plain plate.

Page(s): 32-37                                                                                                                   Date of Publication: 16 July 2018

 Pralesh A. Lawande
Department of Mechanical Engineering, D. Y. Patil School of Engineering Academy, Ambi, Maharashtra, India

[1]. M.J. Sable, S.J. Jagtap, P.S. Patil, P.R. Baviskar, S.B. Barve “Enhancement of Natural Convection Heat Transfer on Vertical Heated Plate by Multiple v-fin array”, IJRRAS 5 (2) November 2010
[2]. Firth, R.J. and Meyer, L., 1983, “A comparison of the heat transfer and friction factor performance of four different types of artificially roughened surface”, Int. Journal of Mass and Heat Transfer, vol. 26, no. 2, pp. 175-183.
[3]. Singh, S., Chander, S., Saini, J. S., 2011, “Heat transfer and friction factor correlations of solar air heater ducts artificially roughened with discrete V-down ribs”, Energy, Volume 36, Issue 8 , 5053–5064.
[4]. Abdullah H. AlEssa, Ayman M. Maqableh and Shatha Ammourah “Enhancement of natural convection heat transfer from a fin by rectangular perforations with aspect ratio of two”, International Journal of Physical Sciences Vol. 4 (10), pp. 540-547, October, 2009
[5]. Linhui, T. Huaizhang, L. Yanzhong and Z. Dongbin, 2006, Experimental study on natural convection heat transfer from a vertical plate with discrete heat sources mounted on the back, Energy Conversion and Management, Vol. 47, no. 1, pp. 3447-3455.
[6]. ohammad Mashud, Md. IliasInam, ZinatRahmanArani and AfsanulTanveer “Experimental Investigation of Heat Transfer Characteristics of Cylindrical Fin with Different Grooves”, International Journal of Mechanical & Mechatronics Engineering IJMME Vol: 9 No: 10
[7]. Christopher L. Chapman, and Seri Lee Bill L. Schmidt “Thermal Performance Of An Elliptical Pin Fin Heat Sink”, Tenth IEEE SEM1-THERM
[8]. David J. Kukulka, Kevin G. Fuller “Development of an Enhanced Heat Transfer Surface”, 20th European Symposium on Computer Aided Process Engineering – ESCAPE20
[9]. Dharma Rao, S.V. Naidu, B. GovindaRao and K.V. Sharma “Combined Convection and Radiation Heat Transfer from a Fin Array with a Vertical Base and Horizontal Fins”, Proceedings of World Congress on Computer science 2007 WCECS 2007, october 24-26, 2007, San Francisco, USA
[10]. D. Naylor and J. D. Tarasuk, 1993, (a) Natural Convection Heat Transfer in a Divided Vertical Channel: Part-I Numerical Studies, Journal of Heat Transfer ASME Series C, Vol. 115, no. 1, pp. 377-387
[11]. D. Ryu, D. Choi, V. Patel, 2007, “Analysis of turbulent flow in channels roughened by 1321 two-dimensional ribs and three-dimensional blocks”: part II: heat transfer, Int. 1322 J. Heat Fluid Flow 28, pp. 1112–1124.
[12]. G. Tanda, 1993, Natural Convection Heat Transfer from a Staggered Vertical Plate Array, Journal of Heat Transfer; Transactions of the ASME Vol. 115, no. 1, pp. 938.
[13]. A.E. Bergles, A.R. Blumenkrantz, J. Taborek, 1974, “Performance evaluation criteria for enhanced heat transfer surfaces”, in: Proceedings of the Fourth International Heat Transfer Conference vol. 2, pp. 239-243.
[14]. R.S. Prasolov, “The effect of surface roughness of horizontal cylinder on heat transfer to air”.Inzh-fiz (In Russian) vol.4 pp.3 1961.

Pralesh A. Lawande “Experimental Investigation of Natural Convection Heat Transfer from Vertical Grooved Plates” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp.32-37 July 2018  URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/32-37.pdf

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Effect of Polyurethane Foam addition on Thermal Conductivity of Concrete
Sachin Lanjekar, Sambhaji Kadam – July 2018 – Page No.: 38-41

To improve thermal comfort in building and save energy, it is important to use high performance materials with good thermal insulation. The major objective of this study is to determine effect of Polyurethane Foam addition on thermal conductivity and compressive Strength of concrete. Polyurethane is an insulating material having thermal conductivity 0.018W/mk. The mix Design of M20 grade concrete was prepared by adding 0%, 0.1%, 0.25%, 0.5% liquid polyurethane foam by total weight of concrete and followed by curing in water for 7, 14, 28 days. The test results shows that there was decrease in thermal conductivity from 0.993W/mk to 0.842W/mk due to insulating effect of polyurethane foam. Decrease in density due to porosity and air pores present in concrete results in reduction in thermal conductivity. Also compressive strength decreases with addition of polyurethane foam. M20 grade concrete with 0.25% addition of polyurethane foam having 0.89W/mk thermal conductivity and 20.31N/mm2 compressive strength shows good results from thermal and design point of view.

Page(s): 38-41                                                                                                                   Date of Publication: 16 July 2018

 Sachin Lanjekar
Department of Mechanical Engineering, DYPSOEA, Ambi, Maharashtra, India

 Sambhaji Kadam
Department of Mechanical Engineering, DYPSOEA, Ambi, Maharashtra, India

[1]. P. Mounanga. (2008, June). Proportioning and characterization of light weight concrete mixtures made with rigid polyurethane foam waste. Cement and concrete composites. 30, 806 – 814
[2]. U. Johnson Alengaram. (2013, April) A comparison of thermal conductivity of oil palm shell foamed concrete with conventional materials. Materials and Design. 15, 522 – 529
[3]. Drifa Belkharchouche. (2016, January) Effect of moisture on thermal conductivity of lightened construction material. International journal of hydrogen energy. 1-7
[4]. Ashwin Narendra Raut. (2016, December). Development of thermal efficient fibre-based eco-friendly bricks reusing locally available waste materials. Construction and Building Materials. 133, 275 – 284
[5]. Mucahit Sutcu. (2009, February). The use of recycled paper processing residues in making porous bricks with reduced thermal conductivity. Ceramic International. 35, 2625 – 2631
[6]. A. Benazzouk. (2006, November). The thermal conductivity of cement composites containing rubber waste particles: Experimental study and Modeling. Construction and building Material’s. 22, 573 – 579
[7]. Ramazan Demirboga. (2003, September). Thermal conductivity and compressive strength of expanded perlite aggregate concrete with mineral admixtures. Energy and Building, 35. 1155 – 1159
[8]. Joseph Kedari. (2004, February). Development of fibre- based soil-cement block with low thermal conductivity. Cement and Concrete Composites. 27, 111 – 116
[9]. Joseph Kedari. (2000, November). New light weight construction materials with low thermal conductivity. Cement and Concrete Composites. 23, 65 – 70
[10]. Anup Kumar mandal. (2017, June). Utilization of aluminium plant waste for production of insulation bricks. Journal of Cleaner Production. 162, 949 – 957
[11]. R.B.N. Santosh. (2017, March). An experimental Study on Polyurethane Foam for Eco-Friendly and Light Weight Construction. International Journal of Engineering Science and Computing. Vol.7 Issue no.3. 5767 – 5769
[12]. Kook-Han Kim. (2002, August). An experimental study on thermal conductivity of concrete. Cement and concrete research. 33, 363 – 371
[13]. Iman Katoof Harith. (2017, November). Study on polyurethane foamed concrete for use in structural applications. Case studies in Construction materials. 8, 79 – 86
[14]. S. Gutierrez – Gonzalez. (2011, November). Light weight plaster materials with enhanced thermal properties made with polyurethane foam wastes. Construction and Building materials. 28, 653 – 658
[15]. Jhy- Wen Wu. (1998, August). Thermal conductivity of polyurethane foam. International journal of heat and mass transfer. 42, 2211 – 2217
[16]. Anton Demharter. (1998). Polyurethane rigid foam, a proven thermal insulating material for applications between +1300c and -1960c. Cryogenics. 38, 113 – 117
[17]. Kumar. (2017, July). Studies on enhanced thermally stable high strength concrete incorporating silica nanoparticles. Construction and Building materials. 153, 506 – 513
[18]. Bourhaneddine Haba. (2017, August). Hygic properties and thermal conductivity of new insulation material for building based on date palm oil. Construction and building materials. 154, 963 – 971
[19]. Sanjeev Kumar. (2016, October). Effective utilization of quartz sandstone mining wastes: A technical note on its thermal resistance. Journal of cleaner production. 1 – 7
[20]. Iqbal Marie. (2016, December). Thermal conductivity of hybrid recycled aggregates – rubberized concrete. Construction and Building materials. 31, 516 – 524
[21]. Abhijeet S. Gandage. (2013). Effect of pearlite on thermal conductivity on self-compacting concrete. Procedica – social and behavioral sciences. 104, 188 – 197
[22]. Jnyanendra Kumar Prusty. (2016). Concrete using agro – waste as fine aggregate for sustainable built environment – A review. International journal of sustainable built environment.
[23]. Concrete mix proportioning – guidelines IS 10262: 2009, First revision, Bureau of Indian standards, July 2009.
[24]. BASF Polyurethanes (Malaysia) Sdn. Bhd. Version 1, 1999

Sachin Lanjekar, Sambhaji Kadam “Effect of Polyurethane Foam addition on Thermal Conductivity of Concrete” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp.38-41 July 2018 URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/38-41.pdf

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Cryptocurrency Market Trend Analysis and Prediction
Saranya S. – July 2018 – Page No.: 42-45

From a long time, there have been predictions happening in the financial market, such as stock market and bond market. Cryptocurrency market is on rise since the past few years but predictions about the market trend followed by these currencies is still in its nascent state. This study is based on the relationship between current sentiments of public opinion and price variation in this market, and is concerned with predicting whether cryptocurrency market will trend upward or downward using sentiment analysis, which is one among the various applications of natural-language processing. Bitcoin is the selected cryptocurrency. A platform to predict the future market trend of cryptocurrency market is built using Naïve Bayes classifier, in Python language. The validity of the model is tested by finding correlation between sentiment polarity of tweets with price values of respective time period. An accuracy of 89.86% is achieved by this model.

Page(s): 42-45                                                                                                                   Date of Publication: 21 July 2018

 Saranya S.
Financial Engineering, Department of Mechanical Engineering, College of Engineering, Trivandrum, Kerala, India

[1] Vishal A. Kharde and S. S. Sonawane (2016), “Sentiment Analysis of Twitter Data: A Survey of Techniques”, International Journal of Computer Applications (0975-8887) Volume 139- No.11, April ’16.
[2] Satoshi Nakamoto (2008), “Bitcoin: A peer-to-peer electronic cash system”, academia.edu
[3] Tsytsarau Mikalai, Palpanas Themis (2012) “Survey on mining subjective data on the web”, Data Min Knowl Discov 2012;24: 478–514.
[4] Wilson T., Wiebe J., and Hoffman P., (2005), “Recognizing contextual polarity in phrase-level sentiment analysis”, Proceedings of HLT/EMNLP;2005.
[5] Liu B., (2012), “Sentiment analysis and opinion mining”, Synth Lect Human Lang Technol 2012.
[6] Pang B, Lee L., (2008), “Opinion mining and sentiment analysis”, Found Trends Inform Retriev 2008;2:1–135.
[7] Cambria E, Schuller B, Xia Y and Havasi C, (2013), “New avenues in opinion mining and sentiment analysis”, IEEE Intell Syst 2013;28:15–21.
[8] Feldman R., (2013), “Techniques and applications for sentiment analysis”, Commun ACM 2013; 56:82–9.
[9] Montoyo Andre´s, Martı´nez-Barco Patricio, and Balahur Alexandra, (2012), “Subjectivity and sentiment analysis: an overview of the current state of the area and envisaged developments”, Decis Support Syst 2012;53:675–9.
[10] Anurag Nagar, Michael Hashar, (2015), “Using Text and Data Mining Techniques to Extract Stock Market Sentiment from Live News Streams”, IPICSIT vol.xx IACSIT, DOI=10.1.1.462.9734.
[11] Shah, Devavrat and Kang Zhang, (2015), “Bayesian Regression and Bitcoin”, http://arxiv.org/pdf/1410.1231v1.pdf.6Oct2014.
[12] Isaac Madan, Shaurya Saluja and Aojia Zhao, (2015), “Automated Bitcoin Trading via Machine Learning Algorithms”, Department of Computer Science, Stanford University.
[13] Go, Alec, Lei Huang and Richa Bhayani, (2009), “Twitter Sentiment Analysis”, Entropy 17.
[14] W. B. Yu, B. R. Lea and B. Guruswamy, (2011), “A Theoritic Framework Integrating Text Mining and Energy Demand Forecasting”, International Journal of Electronic Business Management ; 5(3): 211-224.
[15] M. Matta, I. Lunesu, and M.Marchessi, (2015), “Bitcoin Spread Prediction using Social and Web Search Media”, Proceedings of DeCAT 2015, https://www.researchgate.net/publication/279917417.

Saranya S. “Cryptocurrency Market Trend Analysis and Prediction” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp. 42-45 July 2018 URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/42-45.pdf

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Stock Market Index Prediction Using Multilayer Perceptron and Long Short Term Memory Networks: A Case Study on BSE Sensex

R. Arjun Raj – July 2018 Page No.: 46-50

Stock market index is a statistical measure that quantifies the changes in a portfolio of stocks which represents a portion of the overall stock market. Prediction of stock market has been a challenging task and of great interest for scholars as the very fact that stock market is a highly volatile in its behaviour. Prediction of stock market is substantial in finance and is gathering more attention, due to the verity that if the direction of the market is predicted successfully the investors may be effectively guided.”
“Deep Learning technique is a subfield of machine learning which is concerned with algorithms necessitated by the function and structure of the brain called artificial neural networks. The most popular techniques are Multilayer Perceptron Networks, Restricted Boltzmann Machines, Convolutional Neural Networks and Long Short-Term Memory Recurrent Neural Networks.”
“This work focuses on the task of predicting the stock market Index. The objective of the project work is to develop and compare the performances of Multilayer Perceptron (MLP) and Long Short-Term Memory (LSTM) Networks in forecasting stock market indices. Recent ten years historical data of Bombay Stock Exchange (BSE) Sensex from the Indian Stock market has been chosen for the experimental evaluation. The Adam Optimizer is used for the training of deep neural networks. Root mean square Error (RMSE) is used to compare the performance of the prediction models. As seen from the results, the prediction is fairly accurate in both cases and MLP has outperformed LSTM model, in predicting stock market indices. Neural networks have proved to be a good technique, to forecast a chaotic time series data like stock market index.

Page(s): 46-50                                                                                                                   Date of Publication: 21 July 2018

 R. Arjun Raj
Research Scholar, APJ Abdul Kalam Technological University, College of Engineering, Trivandru, Kerala, India

[1]. V. Ravi, D. Pradeepkumar, and K. Deb, ‘Financial time series prediction using hybrids of chaos theory , multi-layer perceptron and multi-objective evolutionary algorithms’, Swarm and Evolutionary Computation, no. January, pp. 1–14, 2017.
[2]. E. Guresen, G. Kayakutlu, and T. U. Daim, ‘Using artificial neural network models in stock market index prediction’, Expert Systems with Applications, vol. 38, no. 8, pp. 10389–10397, 2011.
[3]. S. Selvin, R. Vinayakumar, E. A. Gopalakrishnan, V. K. Menon, and K. P. Soman, ‘Stock price prediction using LSTM, RNN and CNN-sliding window model’, 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017, vol. 2017–Janua, pp. 1643–1647, 2017.
[4]. S. Hochreiter and J. Urgen Schmidhuber, ‘Long Short-Term Memory’, Neural Computation, vol. 9, no. 8, pp. 1735–1780, 1997.
[5]. K. Wang, C. Yang, and K. Chang, ‘Stock prices forecasting based on wavelet neural networks with PSO’, vol. d, 2017.
[6]. K. Khare, O. Darekar, P. Gupta, and V. Z. Attar, ‘Short term stock price prediction using deep learning’, 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), pp. 482–486, 2017.
[7]. R. Mahanta, T. N. Pandey, A. K. Jagadev, and S. Dehuri, ‘Optimized Radial Basis Functional neural network for stock index prediction’, International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016, pp. 1252–1257, 2016.
[8]. Y. Bengio, ‘Practical recommendations for gradient-based training of deep architectures’, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7700 LECTU, pp. 437–478, 2012.
[9]. D. P. Kingma and J. Ba, ‘Adam: A Method for Stochastic Optimization’, pp. 1–15, 2014.
[10]. Y. Bing, J. K. Hao, and S. C. Zhang, ‘Stock Market Prediction Using Artificial Neural Networks’, Advanced Engineering Forum, vol. 6–7, no. June, pp. 1055–1060, 2012.
[11]. M. P. Naeini, H. Taremian, and H. B. Hashemi, ‘Stock market value prediction using neural networks’, Computer Information Systems and Industrial Management Applications (CISIM), 2010 International Conference on, pp. 132–136, 2010.
[12]. M. R. Vargas, B. S. L. P. de Lima, and A. G. Evsukoff, ‘Deep learning for stock market prediction from financial news articles’, 2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), pp. 60–65, 2017.

R. Arjun Raj “Stock Market Index Prediction Using Multilayer Perceptron and Long Short Term Memory Networks: A Case Study on BSE Sensex” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp.46-50 July 2018  URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/46-50.pdf

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Fuzzy Logic in Secure WSN: A Review
D. Hevin Rajesh – July 2018 – Page No.: 51-54

Wireless Sensor Networks (WSN) are deploy in the hostile environment to collect data. WSN undergo various attacks during deployment and data collection. The security is very essential during the time of data collection and aggregation. Various soft computing methods are used along with secure WSN. In this paper, fuzzy logic based secure WSN are discussed and surveyed. The strength and weaknesses of different methods are studied. The different methods are compared in terms of various parameters.

Page(s): 51-54                                                                                                                   Date of Publication: 21 July 2018

 D. Hevin Rajesh
Department of IT, St. Xavier’s Catholic College of Engineering, Nagercoil, Tamil Nadu, India

[1]. Su Man Nam and Tae Ho Cho (2015) A fuzzy rule-based path configuration method for LEAP in sensor networks, Ad Hoc Networks 31:63–79
[2]. Hae Young Lee (2015) Fuzzy-Based Adaptive Countering Method against False Endorsement Insertion Attacks in Wireless Sensor Networks, International Journal of Distributed Sensor Networks,Volume, 11 pages
[3]. Shahaboddin Shamshirband, Nor Badrul Anuar, Miss Laiha Mat Kiaha, Vala Ali Rohani, Dalibor Petković, Sanjay Misra and Abdul Nasir Khan (2014) Co-FAIS:Cooperative fuzzy artificial immune system for detecting intrusion in wireless sensor networks, Journal of Network and Computer Applications, 42:102–117
[4]. Renyong Wu, Xue Deng, Rongxing Lu and Xuemin (Sherman) Shen (1015) Trust-Based Anomaly Detection in Emerging Sensor Networks, International Journal of Distributed Sensor Networks, 14 pages
[5]. Heshan Kumarage, Ibrahim Khalil , Zahir Tari and Albert Zomaya (2013) Distributed anomaly detection for industrial wireless sensor networks based on fuzzy data modeling, J. Parallel Distrib. Comput. 73: 790–806
[6]. Hevin Rajesh, D. and B. Paramasivan (2012) Fuzzy Based Secure Data Aggregation Technique in Wireless Sensor Networks, Journal of Computer Science 8:899-907
[7]. X. Anita, M. A. Bhagyaveni and J.Martin LeoManickam (2014) Fuzzy-Based Trust Prediction Model for Routing in WSNs, The Scientific World Journal, Volume 2014, 11 pages
[8]. Sumathy Murugan and M. Sundara Rajan (2015) Fuzzy Based Anomaly Intrusion Detection System for Clustered WSN, Research Journal of Applied Sciences, Engineering and Technology 9: 760-769
[9]. Thao P. Nghiem and Tae Ho Cho (2009) A fuzzy-based interleaved multi-hop authentication scheme in wireless sensor networks, J. Parallel Distrib. Comput. 69 : 441-450

D. Hevin Rajesh “Fuzzy Logic in Secure WSN: A Review” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp.51-54 July 2018 URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/51-54.pdf

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Application of Blockchain in Clearing and Settlement: A Case Study of NSE

Surya Ann Thomas – July 2018 Page No.: 55-57

The secondary market is the market where previously issued financial instruments, such as bonds and stocks are bought and sold. It is where investors sell/buy to/from other investors. Transfer of security in secondary market includes execution, clearing and settlement processes. Execution is done in stock exchanges. Determination of obligation of securities is called clearing and all the processes that follow clearing up to the exchange of fund and securities are settlement. Clearing and settlement process in India (case of NSE) is using National Securities Clearing Corporation (NSCCL) for its working. The settlement time taken for completion of settlement is two working days from the trading day. The work develops a model of clearing and settlement (in NSE) using blockchain. The model minimizes the settlement time from two days to a few minutes. The proposed model has distributed ledger which uses smart contract in its working and easily transfers data throughout all the members present in network. All participants in network holds the same copy of ledger and addition of a new transaction to network has to be accepted by all members in network. The fast transfer of information between different entities reduces the settlement time.

Page(s): 55-57                                                                                                                   Date of Publication: 21 July 2018

 Surya Ann Thomas
M.Tech Student, Department of Mechanical Engineering, College of Engineering, Trivandrum, Kerala, India

[1]. Gerardo Ballabio (2017), “Prime-partitioned blockchain : a scalable and efficient blockchain implementation”. SSRN 2927669
[2]. W. M. Shabair et al.(2018), “Blockchain orchestration and experimentation framework: A case study of KYC”. https://www.researchgate.net/publication/323692669
[3]. Rebecca Lewis et.al(2017), “Blockchain and Financial Market Innovation”, Economic Perspectives, Vol.41,No.7
[4]. Taketoshi Mori, “Financal technology: Blockchain and securities settlement”. Journal of Securities Operations & Custody, Volume 8 Number 3
[5]. F. Hawlitschek et al.(2018), “The limits of trust free system: A literature review on blockchain technology and trust in sharing economy”. Electronic Commerce Research and Applications 29, 50–63
[6]. Haimera Workie and Kavita Jain (2017), “Distributed ledger technology: implication of blockchain on securities industry”. Journal of securities operations and custody, Volume 9 Number 4J
[7]. Kartik H. and Dr.Yatish S.G (2017), “Roadmap for a Controlled Block Chain architecture”. SSRN 2822667

Surya Ann Thomas “Application of Blockchain in Clearing and Settlement: A Case Study of NSE” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp.55-57 July 2018  URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/55-57.pdf

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Comparative Analysis of L-shaped RC frame Structures with and without Shear Wall as per IS1893-2002 and IS1893-2016
Ajay Salimath, Rajeeva S. V. – July 2018 – Page No.: 58-66

Highrise structures are mostly affected by lateral loads and vulnerable to seismic forces. One of the main causes for failure of structures is their irregularity (either plan irregularity or vertical irregularity). In this study, the response of irregular structure with shape L situated in seismic zone V are evaluated. For the analysis, 25 storey building is considered. The analytical methods used in this dissertation work are response spectrum method and time history method. The seismic parameters for earthquake loads and functions are set as per IS1893-2002(1), IS1893-2016(1) and IS 16700-2017 and time history method is carried out using BHUJ earthquake data. The FEA software ETABS v15 is used for analysis. Also, the presence of shear wall and the behavior of structure by its inclusion is studied. For the study, totally eight models are considered whichare L-shaped structures (with and without shear wall analyzed using linear and non-linear dynamic method for IS1893-2002 and IS1893-2016). In this work, various parameters like storey drift, storey displacement, time period, base shear and modal mass participation ratio are obtained for all the models and have been compared. Also, the column forces at re-entrant cornerand interior column is compared.

Page(s): 58-66                                                                                                                   Date of Publication: 23 July 2018

 Ajay Salimath
MTech student, Civil Engineering Department, S.J.B. Institute of Technology, Bangalore, Karnataka, India

 Rajeeva S. V.
Professor, Civil Engineering Department, S.J.B. Institute of Technology, Bangalore, Karnataka, India

[1] Bagheri B, E. S. Firoozabad and M. Yahyaei, “Comparative Study of the Static and Dynamic Analysis of Multi-storied Irregular Building”, International Journal of Civil and Environmental Engineering, Vol 6, No. 11, 2012, pp 1045-1049.
[2] Wakchaure M. R, A. Shirish, R. Nikam, “Study of Plan Irregularities on High-Rise Structures”, International Journal of Innovative Research and Development, Vol. 1, Issue 8, Oct-2012, pp 269-281.
[3] Rama Raju K, M. I. Shereef, N. R. Iyer, S. Gopalakrishnan, “Analysis and Design of RC Tall Building Subjected to Wind and Earthquake Loads”, The Eighth Asia-Pacific Conference on Wind Engineering, Dec-2013, pp 844-852.
[4] Guleria A. “Structural Analysis of a Multi-storeyed Building using ETABS for Different Plan Configurations”, International Journal of Engineering Research & Technology, Vol. 3, Issue 5, May-2014, pp 1481-1485.
[5] Prajapati P. B. and G. Vanza, “Influence of Plan Irregularity on Seismic Response of Buildings”, International Journal of Engineering Research and Applications, Vol. 4, Issue 6, June-2014, pp 85-89.
[6] Bele K. R. and S. B. Borghate, “Dynamic Analysis of Building with Plan Irregularities” Journal of Civil Engineering and Environmental Technology, Vol. 2, Issue 11, June-2015, pp 23-30.
[7] Manilal M. and S. V. Rajeeva, “Dynamic Analysis of RC Regular and Irregular Structures Using Time History Method”, International Journal of Research in Engineering and Technology, Vol 6, Issue 6, June-2017, pp 99-103.
[8] Bhattarai B. P. and Anjana A, N. Bhattarai, S. Mohare, “Analytical Study on Horizontal Irregularities in Building under Seismic Load with and without Shear Wall”, International Journal of Advances in Seintific Research and Engineering, Vol. 3, Issue 1, Aug-2017, pp 383-391.
[9] Agarwal P. and M. Shirkhande, Earthquake Resistant Design of Structures, New Delhi, PHI learning private limited, Aug-2011.
[10] Hosur V. Earthquake Resistant Design of Building Structures, New Delhi, Wiley India Pvt Ltd, 2013.
[11] Taranath B. S. Reinforced Concrete Design of Tall Building. Florida, CRC Press, Taylor and Francis Group, 2010.
[12] Smith B. S. and A. Coull, Tall Building Structures: Analysis and Design, A Wiley Interscience Publication, John Wiley & Sons Inc.
[13] IS 1893 (Part1): 2002, “Criteria for Earthquake Resistant Design of Structures”, Part 1 General Provisions and Buildings, Fifth Edition, Bureau of Indian Standards.
[14] IS 1893 (Part1): 2016, “Criteria for Earthquake Resistant Design of Structures”, Part 1 General Provisions and Buildings, Sixth Edition, Bureau of Indian Standards.
[15] IS 16700: 2017, “Criteria for Structural Safety of Tall Concrete Buildings”, First Edition, Bureau of Indian Standards

Ajay Salimath, Rajeeva S. V. “Comparative Analysis of L-shaped RC frame Structures with and without Shear Wall as per IS1893-2002 and IS1893-2016” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp. 58-66 July 2018 URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/58-66.pdf

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Stability of a Quadratic-Additive Functional Equation: A Fixed Point Approach

Rajkumar.V – July 2018 Page No.: 67-69

In this paper, we investigate the stability of a functional equation
f(x+y+z)+f(x-y)+f(y-z)+f(z-x) = 2f(x)+2f(y)+2f(z)+f(-x)+f(-y)+f(-z)
by using the fixed point theory in the sense of L. Cadariu and V. Radu.

Page(s): 67-69                                                                                                                   Date of Publication: 25 July 2018

 Rajkumar.V
Hindusthan Institute of Technology, Coimbatore, Tamil Nadu, India

[1]. T. Aoki, On the stability of the linear transformation in Banach spaces, J. Math.Soc. Japan 2 (1950), 64{66.
[2]. L. C¸adariu and V. Radu, Fixed points and the stability of Jensen’s functional equation, J. Inequal. Pure Appl. Math.4(1) (2003), Art. 4.
[3]. L. Cadariu and V. Radu, Fixed points and the stability of quadratic functional equations, An. Univ. Timisoara Ser. Mat.-Inform. 41 (2003), 25{48. Stability of approximately quadratic-additive mappings 49
[4]. L. C¸adariu and V. Radu, On the stability of the Cauchy functional equation: a fixed point approach in Iteration Theory, Grazer MathematischeBerichte, Karl-Franzens-Universit Äaet, Graz, Graz, Austria 346 (2004), 43{52.
[5]. P. G•avruta, A generalization of the Hyers-Ulam-Rassias stability of approxi-mately additive mappings, J. Math. Anal.Appl. 184 (1994), 431{436.
[6]. D. H. Hyers, On the stability of the linear functional equation, Proc. Natl. Acad. Sci. U. S. A. 27 (1941), 222{224.
[7]. S.-M. Jung, On the Hyers-Ulam stability of the functional equations that have the quadratic property, J. Math. Anal.Appl. 222 (1998), 126{137.
[8]. H.-M. Kim, On the stability problem for a mixed type of quartic and quadratic functional equation, J. Math. Anal.Appl. 324 (2006), 358{372.
[9]. Y.-H. Lee, On the stability of the monomial functional equation, Bull. Korean Math.Soc. 45 (2008), 397{403.
[10]. Y. H. Lee and K. W. Jun, On the stability of approximately additive mappings, Proc. Amer. Math. Soc. 128 (2000), 1361{1369.
[11]. B. Margolis and J. B. Diaz, A fixed point theorem of the alternative for con-tractions on a generalized complete metric space, Bull. Amer. Math. Soc. 74 (1968), 305{309.
[12]. Th. M. Rassias, On the stability of the linear mapping in Banach spaces, Proc.Amer. Math. Soc. 72 (1978), 297{300.
[13]. I. A. Rus, Principles and Applications of Fixed Point Theory, Ed. Dacia, Cluj- Napoca 1979 (in Romanian).
[14]. S. M. Ulam, A Collection of Mathematical Problems, Interscience, New York, 1968, p. 63

Rajkumar.V “Stability of a Quadratic-Additive Functional Equation: A Fixed Point Approach” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp.67-69 July 2018  URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/67-69.pdf

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Cryptocurrency Price Prediction Using Long-Short Term Memory Model
Prashanth J R, Vineetha S Das – July 2018 – Page No.: 70-72

Cryptocurrency, is a decentralized digital or virtual currency. Use of cryptography for security makes it difficult to counterfeit. The primary cryptocurrency, the Bitcoin was launched in the year 2009 by Satoshi Nakamoto. Bitcoin, Ethereum, Ripple, Bitcoin cash, Bit connect, Dash, Ethereum Classic, Iota, Litecoin, Monero, Nem, Neo, Numeraire, Stratis, Waves etc. are some of the popular Cryptocurrencies. Cryptocurrencies started to gain attention in 2013 and since then witnessed a significant number of transactions and hence price fluctuations. The cryptocurrency market is just similar to stock market. It has gained public attention and so effective prediction of price movement of cryptocurrency will aid public to invest profitably in the system. This paper tries to predict the price of Cryptocurrencies. Machine learning techniques were implemented and the use of Adam optimizer and Long Short Term Memory (LSTM) network proved very efficient in predicting the prices of digital currencies.

Page(s): 70-72                                                                                                                   Date of Publication: 25 July 2018

 Prashanth J R
Research Scholar, Department of Mechanical Engineering, APJ Abdul Kalam Technological University, College of Engineering Trivandrum, Kerala, India

 Vineetha S Das
Associate Professor, Department of Mechanical Engineering, APJ Abdul Kalam Technological University, College of Engineering Trivandrum, Kerala, India

[1]. M. Chen, N. Narwal, and M. Schultz, “Predicting Price Changes in Ethereum,” no. 2016, pp. 1–6, 2017.
[2]. T. Guo and N. Antulov-Fantulin, “Predicting short-term Bitcoin price fluctuations from buy and sell orders,” 2018.
[3]. I. Madan, S. Saluja, and A. Zhao, “Automated Bitcoin Trading via Machine Learning Algorithms,” URL http//cs229. stanford. edu/proj2014/Isaac\% 20Madan, vol. 20, pp. 1–5, 2015.
[4]. M. Brière, K. Oosterlinck, and A. Szafarz, “Virtual currency, tangible return: Portfolio diversification with bitcoin,” J. Asset Manag., vol. 16, no. 6, pp. 365–373, 2015.
[5]. A. Greaves and B. Au, “Using the Bitcoin Transaction Graph to Predict the Price of Bitcoin,” 2015.
[6]. M. Matta, I. Lunesu, and M. Marchesi, “Bitcoin Spread Prediction Using Social And Web Search Media,” UMAP Work. 2015, 2015.
[7]. H. Jang and J. Lee, “An Empirical Study on Modeling and Prediction of Bitcoin Prices with Bayesian Neural Networks Based on Blockchain Information,” IEEE Access, vol. PP, no. 99, p. 1, 2017.
[8]. L. Kristoufek, “What are the main drivers of the bitcoin price? Evidence from wavelet coherence analysis,” PLoS One, vol. 10, no. 4, pp. 1–15, 2015.

Prashanth J R, Vineetha S Das “Cryptocurrency Price Prediction Using Long-Short Term Memory Model” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp.70-72 July 2018 URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/70-72.pdf

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The Generalized Hyers-Ulam-Rassias Stability of a Quadratic Functional Equation

Rajkumar.V – July 2018 Page No.: 73-76

I give the general solution of the functional equation
f(x+y+a)+f(x-y+a)=2f(x+a)+2f(y)
and investigate its generalized Hyers-Ulam-Rassias-Stability.

Page(s): 73-76                                                                                                                   Date of Publication: 25 July 2018

 Rajkumar.V
Hindusthan Institute of Technology, Coimbatore, Tamil Nadu, India

[1]. J.H.Bae and K.W.Jun, On the Generalized –Hyers-Ulam-Rassias-Stability of an n-Dimentional quadratic Functional Equation, J.Math. Anal., 258 (2001), 183-193.
[2]. J.H.Bae, k.-W.Jun and S.-M.Jung, On the Stability of aQuadratic Functional Equation, Kyungpook Math.j.,43 (2003), 415-423.
[3]. I.-S Chang and H.-M.Kim, On the Generalized Hyers-Ulam-Rassias Stability of a Quadratic Functional Equations, J.Inequal.Pure Appl.Math.,3 (2002),Art.33.
[4]. K.-W.Jun and H.-M.Kim, Stability Problem of Ulam for Generalized Forms of Cauchy Functional Equations, J.Math.Anal.Appl.,312 (2005), 535-547.
[5]. D.H.Hyers, On the Stability of the Linear Functional Equations, Proc.Natl.Acad.Sci.,27 (1941), 222-224.
[6]. J.M.Rassias, On the General Quadratic Functional Equation,Bol.Soc.Mat.Mexicana, 11(2005), 259-268.
[7]. Th.M.Rassias, On the Stability of the Linear Mapping in Banach Spaces, Proc.Amer.Math.Soc., 72(1978), 297-300.
S.-M.Jung, Hyers-Ulam-Rassias Stability of Jensen’s Equations and Its Application, Proc, Amer.Math.soc., 126 (1998), 3137-3143.

Rajkumar.V “The Generalized Hyers-Ulam-Rassias Stability of a Quadratic Functional Equation” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp.73-76 July 2018  URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/73-76.pdf

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Design, Modelling and Analysis of Lathe Tumbler Gear by using Different Materials
Mohd Hassan, Patel Fuzail Irfan, Shashi Kumar G – July 2018 – Page No.: 77-86

Spur gear is the simplest & widely used component in power transmission system. A spur Gear is generally subjected to bending stress which causes teeth failure. However it is observed that performance of the spur gear is not satisfactory in certain applications and therefore it is required to explore some alternate materials to improve the performance of the spur gears. Composite materials provide adequate strength with weight reduction and they are emerging as a better alternative for replacing metallic gears. In this project analysis is done by considering different materials for gears like Cast Iron, Carbon fiber / Epoxy, Glass filled Nylon 6, Aluminium Silicon Carbide, Nylon 101, Polyoxymethylene, Aluminium Alloy and Titanium Alloy.

Page(s): 77-86                                                                                                                   Date of Publication: 29 July 2018

 Mohd Hassan
Department of Mechanical Engineering, Bearys Institute of Technology, Mangaluru, Karnataka, India

 Patel Fuzail Irfan
Department of Mechanical Engineering, Bearys Institute of Technology, Mangaluru, Karnataka, India

 Shashi Kumar G
Department of Mechanical Engineering, Bearys Institute of Technology, Mangaluru, Karnataka, India

[1]. International Research Journal of Engineering and Technology (IRJET), “Static & Dynamic Analysis of Spur Gear using Different Materials”, By M. keerthi, k. sandya, k.srinivas, Jan-2016, p-ISSN: 2395-0072, e-ISSN: 2395-0056.
[2]. Journal of Mechanical and Civil Engineering (IOSR-JMCE), “Comparative Finite Element Analysis Of Metallic And Non Metallic Spur Gear”, By Mahebub Vohra, Prof. Kevin Vyas, May- Jun. 2014, PP 136-145.
[3]. ARPN journal of engineering and applied sciences, “Bending stress analysis of a spur gear for material steel 15NI2CR1MO28”, By S. Prabhakaran, D. S. Balaji and R.Praveenkumar, Department of mechanical engineering, chennai, india, October 2017, ISSN 1819-6608.
[4]. International Conference on Ideas, Impact and Innovation in Mechanical Engineering (ICIIIME 2017), “Finite Element Analysis of Spur Gear with Glass Fibre as Material”, By Ms. Swati B. Gurav, GayatriPatil, PP 605 –612.
[5]. International Journal of Current Engineering and Technology, “Modeling and Finite Element Analysis of Spur Gear” By Vivek Karaveer, AshishMogrekar and T. Preman Reynold Joseph, (December 2013), Vol 3, ISSN 2277 – 4106.
[6]. Composite Materials Science and Engineering Third Edition,By Krishan K. Chawla ISBN 978-0-387-74364-6, ISBN 978-0-387-74365-3 (eBook) DOI 10.1007/978-0-387-74365-3.
[7]. International Engineering Research Journal, “Contact Stress Analysis of Composite Spur Gear Using FEM and Hertz Theory”, By Harshal P. Rahate, R. A. Marne, Department of Mechanical Engineering, AISSMS COE, SPPU, PUNE, PP 80
[8]. International Journal of Research and Scientific Innovation (IJRSI), “Design and Analysis of Composite Spur Gear”, By S.Mahendran ,K.M.Eazhil , L.Senthil Kumar, November 2014, Volume 1, Issue 4, ISSN 2321-27051-804.

Mohd Hassan, Patel Fuzail Irfan, Shashi Kumar G “Design, Modelling and Analysis of Lathe Tumbler Gear by using Different Materials” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp.77-86 July 2018 URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/77-86.pdf

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Hybrid Strategy for Stock Trading
Tania Anna Baby – July 2018 – Page No.: 87-92

Trading Strategies provide a set of trading rules defining the conditions that must be occurred for a trade entry and exit to occur. Profit Gain is the final aim of a trader competing in financial markets. In order to earn profits, traders find the help of new decision support systems. Nowadays, investors started adopting technical indicators for trading in stock markets. The trading decision prediction is one of the problems faced by many traders. The trading decision prediction is considered as a categorization problem. Integration of technical indicators with trading rules helps traders to decide when to buy, sell and hold stocks. The use of artificial neural networks with the technical indicators conquered the world of stock trading prediction. These are now able to predict the market trend.
In this project, a new decision prediction system which involves the use of Computational efficient functional link artificial neural network learned by back propagation algorithm is studied to understand the behavior of stock trading signal of equity stocks. This strategy is then compared with the Simple Moving Average strategy.

Page(s): 87-92                                                                                                                   Date of Publication: 29 July 2018

 Tania Anna Baby
Research Scholar, APJ Abdul Kalam Technological University, College of Engineering, Trivandrum, Kerala, India

[1]. Rajashree Dash, Pradipta Kishore Dash (2016) “A hybrid stock trading framework integrating technical analysis with machine learning techniques”, The Journal of Finance and Data Science, vol.2 (2016), 42-57.
[2]. Binoy B. Nair, N. Mohana Dharini, V.P. Mohandas (2010), “A Stock market trend prediction system using a hybrid decision tree neuro fuzzy system”, 2010 International Conference on Advances in Recent Technologies in Communication and Computing (2010), 381-386.
[3]. Yakup Kara, Melek Acar Boyacioglu, and Omer Kaan Baykan (2011), “Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange.”, Expert systems with Applications, vol.38, no.5, 5311-5319
[4]. Pujana Paliyawan (2015), “Stock Market Direction Prediction using data mining classification”, ARPN Journal of Engineering and Applied Sciences, vol.10, no. 3, (2015) 1302-1411.
[5]. Simon Fong, Jackie Tai, Yain Whar Si (2011), “Trend Following Algorithms for Technical Trading in Stock Market”, Journal of Emerging Technologies in web intelligence vol.3, no.2, (2011), 136-145.
[6]. Aparna Nayak, M.M. Manohara Pai and Radhika M. Pai(2016), “Prediction Models for Indian Stock Market”, Twelfth International Multi-Conference on Information Processing, 89 ( 2016 ) 441 – 449.
[7]. T. Manojlovic and I. Stajduhar (2015), “Predicting Stock Market Trends Using Random Forests: A Sample of the Zagreb Stock Exchange”, MIPRO 2015, 25-29.
[8]. R.J. Kuoa, C.H. Chenb, Y.C. Hwang(2001), “An intelligent stock trading decision support system through integration of genetic algorithm based fuzzy neural network and artificial neural network”, Fuzzy Sets and Systems, 118 (2001) 21-45.
[9]. Pei-Chann Chang, Chen-Hao Liu, Chin-Yuan Fan, Jun-Lin Lin and Chih- Ming Lai(2009), “An Ensemble of Neural Networks for Stock Trading Decision Making” ICIC 2009, LNAI 5755, pp. 1–10.
[10]. Omer Berat Sezer, Murat Ozbayoglu, Erdogan Dogdub(2017), “A Deep Neural-Network Based Stock Trading System Based on Evolutionary Optimized Technical Analysis Parameters”. Complex Adaptive Systems Conference with Theme: Engineering Cyber Physical Systems, CAS 2017.
[11]. Shunrong Shen, Haomiao Jiang, Tongda Zhang (2012), “ Stock market forecasting using machine learning algorithms”.
[12]. Lekhani Ray(2017), “Stock Prediction using Support Vector Regression and Neural Networks”, International Journal of Advance Research, Ideas and Innovations in Technology, vol. 3, no. 6, 441-446.
[13]. David Enke, Manfred Grauer and Nijat Mehdiyev(2011), “Stock Market Prediction with Multiple Regression, Fuzzy Type-2 Clustering and Neural Networks”, Conference Organized by Missouri University of Science and Technology, 2011- Chicago, IL, 201-207.
[14]. Zhao, Lei, Wang and Lin(2015), “Price Trend Prediction of Stock Market Using Outlier Data Mining Algorithm”, 2015 IEEE Fifth International Conference on Big Data and Cloud Computing, 2015
[15]. Thirunavukarasu Anbalagan, S. Uma Maheswari(2015), “Classification and Prediction of Stock Market Index Based on Fuzzy Metagraph”, Procedia Computer Science 47 ( 2015 ) 214 – 221.
[16]. Amin Hedayati Moghaddam, Moein Hedayati Moghaddam, Morteza Esfandyari (2016), “Stock market index prediction using artificial neural network”, Journal of Economics, Finance and Administrative Science, 21 (2016) 89–93.
[17]. Hakob Grigoryan(2015), “ Stock Market Prediction using Artificial Neural Networks: Case Study of TAL1T, Nasdaq OMX Baltic Stock”, Database Systems Journal vol. VI, no. 2, 2015.
[18]. Lili Wang, Zitian Wang, Shuai Zhao and Shaohua Tan(2015), “Stock market trend prediction using dynamical Bayesian factor graph”, Expert Systems with Applications (2015)

Tania Anna Baby “Hybrid Strategy for Stock Trading ” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp. 87-92 July 2018 URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/87-92.pdf

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A Study on Effects of TV Advertising on Children
Mithun Das, Sisir Ghorai, Sudip Basu – July 2018 – Page No.: 93-96

Television becomes a National Phenomenon in India when on August 15, 1982; The National programme of Doordarshan was inaugurated. Presently television has come to occupy a central place in the lives of the people. TV, to a great extend, determines the rhythm of people’s life not only in towns but in villages as well. This anxiety is more about the growing up children. Young children whose basic personality structure is being formed spend a lot of time before TV. TV appears to compete with the traditional agencies of socialization such as family, school and religious organization. The chief socializing agency is, of course, the family which is supported by the school and the religious community. Parents who are charged with the responsibility of socializing the young are naturally concerned with the impact of TV may have on their words. The main purpose of the study is to focus on the effects of TV advertising on children.

Page(s): 93-96                                                                                                                   Date of Publication: 31 July 2018

 Mithun Das
Department of Management Studies, Institute of Science & Technology, Chandrakona Town, Paschim Medinipur, Pin- 721201, West Bengal, India

 Sisir Ghorai
Department of Management Studies, Institute of Science & Technology, Chandrakona Town, Paschim Medinipur, Pin- 721201, West Bengal, India

 Sudip Basu
Department of Management Studies, Institute of Science & Technology, Chandrakona Town, Paschim Medinipur, Pin- 721201, West Bengal, India

[1]. Barve, G., Sood, A., Nithya, S. (2015). Effects of advertising on Youth (Age group of 13- 19 years age). International Journal of Management and Economics Innovation; Volume I, Issue 10, Pages 422-435, ISSN : 2395-7220.
[2]. Upadhayay, A. (2012). The effect of advertising on children and adolescents – A critical appraisal. International Journal of Recent Research and Review; Volume II, ISSN: 2277-8322.
[3]. Pabalkar, V., Balgaokar, V. (2014). The effects of advertising on youth. International Journal of Management; Volume 5, Issue 6, pp 63-70, ISSN: 0976-6502.
[4]. Upadhyay, P., Joshi, J. (2014). Impact of advertising on buying behaviour of youth in Kota City with special reference to branded out fits. International Journal of Managerial Studies and Research; Volume 2, Issue 2, pp 1-20.
[5]. Bisht, S. (2013). Impact of TV advertisement on youth purchase decision- Literature Review. International Monthly Referred Journal of Research in Management and Technology; Volume II, ISSN: 2320-0073.
[6]. Jain, R., Patel, G. Impact of TV advertising on youth buying behaviour.
[7]. Tuladhar, S. Impact of advertisements of alcohol and tobacco on children.
[8]. Difranza, R. J.(1995). The effect of tobacco advertising on children. Slama K.(eds) Tobacco and Health, pp 87-90, ISBN: 978-1-4615-1907-2
[9]. Effects of Advertising on Children. Retrieved from http://lifestyle.iloveindia.com/lounge/effects-of-advertising-on-children-4751.html
[10]. Negative Side Effects Of Advertising On Children. Retrieved from http://www.momjunction.com/articles/negative-side-effects-of-advertising-on-your-children_00385891/#gref
[11]. Report of the APA Task Force on Advertising and Children Retrieved from http://www.apa.org/pubs/info/reports/advertising children.aspx

Mithun Das, Sisir Ghorai, Sudip Basu “A Study on Effects of TV Advertising on Children” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp.93-96 July 2018 URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/93-96.pdf

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Chatbot for Portfolio Selection
Sreedevi P, Vineetha S Das – July 2018 – Page No.: 97-99

A chatbot is a computer program to stimulate human response and there by facilitates communication with clients with the support of rule based or machine learning tools. A portfolio is a group of financial assets. It includes stocks, bonds, cash equivalents and their fund counterparts, including mutual funds, exchange-traded funds and closed end funds. In this paper it is attempted to suggest a suitable portfolio to an investor based on his age, investable amount, investment tenure and expected returns.

Page(s): 97-99                                                                                                                   Date of Publication: 02 August 2018

 Sreedevi P
Research Scholar, Department of Mechanical Engineering, College of Engineering Trivandrum
APJ Abdul Kalam Technological University, College of Engineering Trivandrum, Kerala,

 Vineetha S Das
Associate Professor, Department of Mechanical Engineering, College of Engineering Trivandrum
APJ Abdul Kalam Technological University, College of Engineering Trivandrum, Kerala, India

[1]. Inderjit Kaur K. P. Kauhisk , (2016),”Determinants of investment behavior of investors towards mutual funds”, Journal of Indian Business Research, Vol. 8 Iss 1 pp
[2]. BalaRamasamy Matthew C.H. Yeung, (2003),”Evaluating mutual funds in an emerging market: factors that matter to financial advisors”, International Journal of Bank Marketing, Vol. 21 Iss 3 pp. 122 – 136
[3]. Ms. S. Neelima, Dr. D. Surya Chandra Rao,(2016),” FactorsInfluencing Investors In Mutual Funds Selection ”,IOSR Journal of Business and Management ,Volume 18, Issue 7.
[4]. Macro castellani and Emanuel augusto dos santos,forecasting long-term government bond yields:an application of statistical and AI Models,2005.
[5]. Chaitrali S. Kulkarni, Amruta U. Bhavsar, Savita R. Pingale, Prof. Satish S.Kumbhar (May -2017), BANK CHAT BOT – An Intelligent Assistant System Using NLP and Machine Learning, International Research Journal of Engineering and Technology (IRJET), Volume: 04 Issue: 05 .
[6]. www.valueresearchonline.com
[7]. www.investopedia.com

Sreedevi P, Vineetha S Das “Chatbot for Portfolio Selection ” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp. 97-99 July 2018 URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/97-99.pdf

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Impact of Mergers in Banking Sector: A Case Study
Nagalekshmi V S, Vineetha S Das – July 2018 – Page No.: 100-102

Merger, consolidation of companies or assets through various financial transaction provides the survivor organization growth along with competitive advantage in terms of technology, market share, infrastructure etc. It optimizes allocation of resources and improves efficiency of organizations. This work analyses the effect of mergers on Indian banking sector by considering the pre-merger and post-merger financial performances of Kotak Mahindra and ING Vysya banks that undergone merger. Secondary data as available from NSE website, annual report of the respective banks and other web based data sources were used to draw conclusions regarding the effect of the corporate event. The banks considered here are equally strong and well managed by competent professionals. The effect of this merger is primarily the growth of this survivor which gained the fourth position among the players in Indian banking sector. This analysis reveals that the corporate action is positive except in the case of non-performing assets which shows an increased trend compared to the post-merger results of Kotak Mahindra bank.

Page(s): 100-102                                                                                                                   Date of Publication: 02 August 2018

 Nagalekshmi V S
Research Scholar, Department of Mechanical Engineering, APJ Abdul Kalam Technological University, College of Engineering Trivandrum, Kerala, India

 Vineetha S Das
Associate Professor, Department of Mechanical Engineering, APJ Abdul Kalam Technological University, College of Engineering Trivandrum, Kerala, India

[1]. Zahoor Rahman, Arshad Ali and et.al (2018), “The Effects of Mergers and Acquisitions On Stock Price Behavior, In Banking Sector of Pakistan”, The Journal of Finance and Data Science, Vol:4, pp:44-54.
[2]. Aharon David Y, GaviousIlanit&Yosefa Rami (2010), “Stock Market Bubble Effects on Mergers and Acquisitions”, The Quarterly Review of Economics and Finance, Vol: 50, pp: (456– 470).
[3]. Tapas Kumar Sethy (2017), ‘Impact of Merger On Financial Performance of Banks: A Case Study of State Bank Group’, International Journal of Technical Research & Science, Vol. 2, pp: (388-394)
[4]. Rampratap Sinha, 2006. “Spread Efficiency Of Indian Commercial Banks”, The IUP Journal of Bank Management, vol: 0(4), pp (39-58).
[5]. H. P. Mahesh, Meenakshi Rajeev (2008), “Producing Financial Services: efficiency Analysis of Indian Commercial Banks”, Journal of Service Research, Vol: 8, pp: (7-30).
[6]. Mahima Rai, Sharma MC (2014) “An Empirical Analysis of the Stock Price Behaviour on Merger & Acquisition Announcement (with Specific Reference to Mergers Involving ICICI Bank)”, SMART Journal of Business Management Studies. Vol: 0(2).
[7]. Data Sources
[1] www.nseindia.com
[2] www.rbi.org.in
[3] www.moneycontrol.com

Nagalekshmi V S, Vineetha S Das “Impact of Mergers in Banking Sector: A Case Study” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp.100-102 July 2018 URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/100-102.pdf

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Artificial Conversational Entity for Health Insurance Sector
Anju V. P. – July 2018 – Page No.: 103-106

Chatbots are computer program that interact like humans using natural language, processing. A chatbot could answer a user in the same way that a human responds. Health insurance are types of insurance policies which cover the surgical and medical expenses of the policy holder. Health insurance policies are a good strategy to secure our health related issues. The policies will offer us with a certain amount of coverage depending upon our personal data. There are private and public health care existing in India. This work comprises of developing an artificial conversational entity for the health insurance sector in Indian scenario. There exists health insurance chatbots which are industry based. The insurer has to provide the medical risk factors to the chatbot. On the basis of the personal details of the insurer the chatbot will suggest the best insurance plans that can be given to that person. It helps in finding the best health insurance plans by evaluating the given past health insurance data. The data structure includes both the private and public health insurance schemes.

Page(s): 103-106                                                                                                                   Date of Publication: 02 August 2018

 Anju V. P.
Financial Engineering, Department of Mechanical Engineering, College of Engineering, Trivandrum, Kerala, India

[1]. Ly, K., Ly, A. and Andersson, G. (2017). A fully automated conversational agent for promoting mental well-being: A pilot RCT using mixed methods. Internet Interventions, 10, pp.39-46.
[2]. Kumar, R., Kaur, M. and Prinja, S. (2015). Evaluating the performance of health promotion interventions. Indian Journal of Medical Research, 142(2), p.109.
[3]. Marshall, K., Skiba, M. and Paul, D. (2009). The need for a social marketing perspective of consumer‐driven health care. International Journal of Pharmaceutical and Healthcare Marketing, 3(3), pp.236-257.
[4]. Gupta, H. (2007). The role of insurance in health care management in India. International Journal of Health Care Quality Assurance, 20(5), pp.379-391.
[5]. Marshall, K., Skiba, M. and Paul, D. (2009). The need for a social marketing perspective of consumer‐driven health care. International Journal of Pharmaceutical and Healthcare Marketing, 3(3), pp.236-257.
[6]. Ayedoun, E., Hayashi, Y. and Seta, K. (2015). A Conversational Agent to Encourage Willingness to Communicate in the Context of English as a Foreign Language. Procedia Computer Science, 60, pp.1433-1442.
[7]. Domingos, P. and Lowd, D. (2009). Markov Logic: An Interface Layer for Artificial Intelligence. Synthesis Lectures on Artificial Intelligence and Machine Learning, 3(1), pp.1-155.
[8]. SaranyaJothi, C. and D.Thenmozhi, D. (2015). Machine Learning approach to Document Classification using Concept based Features. International Journal of Computer Applications, 118(20), pp.33-36.

Anju V. P. “Artificial Conversational Entity for Health Insurance Sector” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp.103-106 July 2018 URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/103-106.pdf

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Classification of Different Plant Species through ANNS Methodology
Mohmmad Hanif Khan, Bazilah Mehraj, Anjum Amin, Masrat Shaheen Khan – July 2018 – Page No.: 107-110

This paper is a study of the value of applying artificial neural networks (ANNs), particularly a multilayer perceptron (MLP), to distinguishing proof of higher plants utilizing morphological characters gathered by regular means. a functional philosophy is subsequently shown to empower natural or zoological taxonomists to utilize ANNs as warning apparatuses for id purposes. an examination is made between the capacity of the neural system and that of conventional techniques for plant recognizable proof by methods for a contextual investigation in the blossoming plant variety lithopne. dark colored (aizoaceae). specifically, a correlation is made with ordered keys created by methods for the delta framework. Image preparing and acknowledgment is completed on the real Image change and change to accomplish the point of recognizable proof. In light of the normal for the Image data is that it is a two-dimensional space, so the measure of data it contains is expansive. Neural system Image acknowledgment innovation is the cutting edge PC innovation, Image preparing, computerized reasoning, design acknowledgment hypothesis built up another sort of Image acknowledgment innovation. Prior to the Image acknowledgment need to utilize advanced Image handling procedures for Image pre-preparing and highlight extraction. With the hypothesis of man-made reasoning exploration and the improvement of PC innovation, the use of neural system in Image design acknowledgment look into is progressively dynamic.

Page(s): 107-110                                                                                                                   Date of Publication: 02 August 2018

 Mohmmad Hanif Khan
Head of Department, Department of Computer Engineering, Royal Polytechnic College, Srinagar, Jammu and Kashmir, India

 Bazilah Mehraj
Lecturer Grade-II, Department of Computer Engineering, Royal Polytechnic College, Srinagar, Jammu and Kashmir, India

 Anjum Amin
Lecturer Grade-II, Department of Computer Engineering, Royal Polytechnic College, Srinagar, Jammu and Kashmir, India

 Masrat Shaheen Khan
Lecturer Grade-II, Department of Computer Engineering, Royal Polytechnic College, Srinagar, Jammu and Kashmir, India

[1]. G. Hinton, L. Deng, and D. Yu: Signal Processing Magazine, Vol. 29 (2012) No.6, p.82.
[2]. E.S.A. Dahshan, T. Hosny, and A.B.M. Salem: Digital Signal Processing, Vol. 20 (2010)
[3]. M. Karabatak, M.C. Inc: Expert Systems with Applications, Vol. 36 (2009) No.2, p.3465.
[4]. O. Mendoza, P. Melin, and G. Licea: Information Sciences, Vol. 179 (2009) No.13, p.2078.
[5]. S. Ji, W. Xu, and M. Yang: Pattern Analysis and Machine Intelligence, Vol. 35 (2013)
[6]. A. yadav, P. Yadav, “Digital Image Processing”,University Science Press, 2009.
[7]. Jonathan Sachs, “Digital Image Basics”, DigitalLight and Color, 1996-1999.
[8]. Melanie Cofield, “Digital Imaging Basics”,Information Technology Lab School of InformationThe University of Texas at Austin, Summer 2005.
[9]. D. Sugimura, T. Mikami, H. Yamashita, and T.Hamamoto, “Enhancing Color Images of ExtremelyLow Light Scenes Based on RGB/NIR ImagesAcquisition With Different Exposure Times”, IEEETRANSACTIONS ON IMAGE PROCESSING

Mohmmad Hanif Khan, Bazilah Mehraj, Anjum Amin, Masrat Shaheen Khan “Classification of Different Plant Species through ANNS Methodology” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp. 107-110 July 2018 URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/107-110.pdf

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Deep Learning Enabled Fraud Detection in Credit Card Transactions
Reshma R S – July 2018 – Page No.: 111-115

Fraudulent activities exist in all fields of financial domain; credit card is not an exception. The increased fraud in credit card transaction is obviously due to its wide spread popularity since the introduction of online banking and e-commerce platforms. The purpose of the fraud may be to obtain goods without paying, or to obtain unauthorized funds from an account. We cannot rely on pattern based fraud detection since the fraudster rarely follows any pattern. As technology advances the fraudulent activities will also increase. The project aims to introduce deep learning technique to detect fraud in credit card transactions. Deep learning consists of neural networks with many hidden layers. The project uses deep learning techniques such as Autoencoder, Restricted Boltzmann Machine, Variational Autoencoder and Deep Belief Network to detect fraud in the credit card transactions. The aim is to find the best technique among them. Unsupervised deep learning method is used to evaluate fraud since the model learn from data and not from labels.

Page(s): 111-115                                                                                                                   Date of Publication: 02 August 2018

 Reshma R S
Research Scholar, Department of Mechanical Engineering, APJ Abdul Kalam Technological University, College of Engineering Trivandrum, Kerala, India

[1]. Pumsirirat,A.andL.Yan(2018). Credit card fraud detection using deep learning based on auto-encoder and restricted boltzmann machine. (IJACSA) International Journal of Advanced Computer Science and Applications 9, 18–25.
[2]. Malini, N. and M. Pushpa (2017). Analysis on credit card fraud identification techniques based on knn and outlier detection. 3rd International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics(AEEEICB17) 978 1(4), 1–4.
[3]. https://www.kaggle.com/mlg-ulb/creditcardfraud
[4]. https://weiminwang.blog/2017/08/05/credit-card-fraud-detection-2-using-restricted-boltzmann-machine-in-tensorflow

Reshma R S “Deep Learning Enabled Fraud Detection in Credit Card Transactions” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp.111-115 July 2018 URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/111-115.pdf

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Key Factors Influencing Annual Income from Commercial Fish Farming and Efficiency of Different Fish Marketing Channels of Assam: Insight from Biswanath District
Abhijit Hazarika, Aditya Gogoi – July 2018 – Page No.: 116-121

Since the time immemorial the human evolution has been witnessed to take place at the closest proximity of the water sources, to fulfil their basic needs of water and food. With time this reliance on the water resources has paved the way to use them as the way to earn means of support for the humans in addition to the fulfilment of the basic needs of food. Fishes have gained its status as the most important source of human nutrients. Sea and river fishes are the major food source of the ever increasing human population of the world. Various earlier works have already established the fact that with the right techniques and vision, fish farming can turn into a very noble and profitable venture. Being blessed with tropical climatic condition fishing seems to be one of the age-old practices in the state of Assam. Despite of the huge potentiality in fish farming with available ample water resources, the contribution of fishery sector to the State Gross Domestic Product (SGDP) of Assam is still very nominal. This present work is an effort to get some deeper insight about the fish farming activity in the newly created Biswanath district of Assam, with the objective to pinpoint different factors effecting the outcome, measured in terms income earned, of some selected commercial fish farming units of the study area. In addition to this a detailed analysis of efficiency level of various marketing and distribution channels of these fish farming units is also tried to investigate.

Page(s): 116-121                                                                                                                   Date of Publication: 04 August 2018

 Abhijit Hazarika
Research Scholar, Department of Commerce, Gauhati University, Guwahati, Assam, India

 Aditya Gogoi
Research Scholar, Department of Economics, Gauhati University, Guwahati, Assam, India

Books:
[1]. Koutsoyiannis, A. (1979): “Theory of cost”, Modern Microeconomics, Macmillan press Ltd., ISBN- 978-0-333-77821-0, Edition- 2, pp. 105-148.
[2]. Salavator, D. (2003): “Production, cost and competitive market”, Microeconomics: Theory and Application, Oxford University Press, Oxford, New York, ISBN- 0-19-513995-X, Edition- 4, pp. 227-264.
[3]. Ahuja, H. L. (2016): “Theory of production and cost”, Principles of Microeconomics, Sultan Chand and Sons, New Delhi, ISBN- 978-9352-533-305, Edition-22, pp. 242-265.
Journals:
[4]. Chudson, W. A. (1937): “Pattern of Corporate Financial Structure: A Cross-Section view of Manufacturing, Mining, Trade, and Construction”.
[5]. Rao, P. S. (1973): “Problems of management of fish marketing and co-operatives”, FAO/ SIDA course on the management of fishermen’s co-operative in collaboration with the Govt. of India and the International Co-operative Alliance (ICA), Bombay, FIE; MFC/73/10, February.
[6]. Tang, Y. A. (1979): “Physical problems in fish farm construction. T. V. R. Pillay and Win A. Dill (Eds), Advances in aqua culture, Fishing News Book Ltd., Farnham, England, pp. 99-103.
[7]. Smith, I. R. (1981): “Improving fish incomes when resources are overfished”, Marine policy, January, pp. 17-22.
[8]. Kulkarni, G. R. and U. K. Srivastav (1985): “A system framework of marine food industry in India,” Concept building Co., New Delhi.
[9]. Srivastav, U. K. (1992): “Aqua cultural marketing and economics in India,” Aqua cultural research needs for 2000s, Oxford and IBH Publishing Co. Pvt. Ltd. New Delhi, pp. 311-325.
[10]. Rao, P. S. (1996): “Investment pattern for aqua cultural farms”, Journal of Fisheries Economics and Development, Vol. 3, Issue- 1, pp. 31-40.
[11]. Goswami, M. (2001): “Techno-socio-economic evaluation of fish farming in Assam”, Central Institute of Fisheries Education, Mumbai, pp. 102-104.
[12]. Ayyappan, S. (2005): “Indian fisheries and aquaculture: Present status and future prospect”, Workshop organised byNutrition Foundation of India, New Delhi.
[13]. Das, S.K. (2006): “Small scale rural aquaculture in Assam, India: A case study”, Naga Worldfish Centre Quarterly, Vol. 29, No. 1 &2, Jan-June.
[14]. Dong, Y., C. K. Y. Leung and D. Cai (2012): “What Drives Fixed Asset Holding and Risk- Adjusted Performance of Corporate in China? An Empirical Analysis”.
[15]. Okelue, D. (2012): “Impact of Firm’s Input Costs on Firm Profitability: Evaluation of the Nigerian Brewery Industry”, Okwo.
[16]. Uche, A. (2012): “Investment in Fixed Assets and Firm Profitability: Evidence from the Nigerian Brewery Industry’, Okwo.
[17]. Tajudeen, A. (2014): “Investment in Fixed Assets and Firm Profitability: Empirical Evidence from the Nigerian Banking Sector”, Olatunji.
[18]. Economic Survey of Assam, 2016-17, Directorate of Economics and Statics, Guwahati, Assam, India.
[19]. India Today, 23 November, 2016.
Website and Others:
[20]. www.fao.org, Food and Agriculture Organisation, United Nations, Accessed- March, 2018.
[21]. www.worldbank.org, World Bank, United Nations, Accessed- February, 2018.
[22]. Press Trust of India, India.

Abhijit Hazarika, Aditya Gogoi “Key Factors Influencing Annual Income from Commercial Fish Farming and Efficiency of Different Fish Marketing Channels of Assam: Insight from Biswanath District” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp.116-121 July 2018 URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/116-121.pdf

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Creation of Smart Contract for the Blockchain based Trade Finance
Afsal A, Regi Kumar V. – July 2018 – Page No.: 122-125

Trade finance includes the various financing activities in an international trade. Since the parties participating in a trade are from different countries, there are several risks associated with this area. Also it is still a largely paper based business and hence the time taken for various activities is too large and chances of errors are also high. Normally, there will be a buyer and seller with intermediaries like banks or financial institutions are present in trade finance and different activities are happening with these parties. Also there are various documents included in trade finance like letter of credit, bill of lading etc. and each of them having specific cost and risk.
Blockchain is a distributed ledger technology which is mainly used for cryptocurrencies and also for building smart contracts. The technology has established in the year 2008. Blockchain has the potential to solve the problems arises in trade finance like risk, time consumption and costs. Using blockchain, smart contracts can be built in the area of trade finance which makes it more transparent and risk-free. Each activities in trade finance can be stored to a block in blockchain and every party has the provision to look at the activities in real time which makes them more comfortable in business. Legal documents and contracts between parties can be stored in a blockchain and if anyone wants to make a change in a particular document, all the other parties have to approve it and this will reduce fraudulent activities. The provision to protect highly secure data from other parties is also available in blockchain. External attacker cannot make changes to a blockchain because if anyone tries to do that, he has to attack every parties in the contract to make a change and which is not possible since the hardware using will be having high power to protect it from frauds. Blockchain will provide high secure, transparent and cost-free solution to trade finance.

Page(s): 122-125                                                                                                                   Date of Publication: 05 August 2018

 Afsal A
Financial Engineering, Department of Mechanical Engineering, College of Engineering, Trivandrum, Kerala, India

 Regi Kumar V.
Financial Engineering, Department of Mechanical Engineering, College of Engineering, Trivandrum, Kerala, India

[1]. Satoshi Nakamoto, Bitcoin: A Peer-to-Peer Electronic Cash System
[2]. W. Dai, “b-money,” http://www.weidai.com/bmoney.txt, 1998.
[3]. H. Massias, X.S. Avila, and J.-J. Quisquater, “Design of a secure timestamping service with minimal trust requirements,” In 20th Symposium on Information Theory in the Benelux, May 1999.
[4]. S. Haber, W.S. Stornetta, “How to time-stamp a digital document,” In Journal of Cryptology, vol 3, no 2, pages 99-111, 1991.
[5]. D. Bayer, S. Haber, W.S. Stornetta, “Improving the efficiency and reliability of digital time-stamping,“ In Sequences II: Methods in Communication, Security and Computer Science, pages 329-334, 1993.
[6]. S. Haber, W.S. Stornetta, “Secure names for bit-strings,” In Proceedings of the 4th ACM Conference on Computer and Communications Security, pages 28-35, April 1997.
[7]. A. Back, “Hashcash – a denial of service counter measure,“http://www.hashcash.org/papers/hashcash.pdf, 2002.
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[12]. ethdocs.org
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[14]. nulltx.com

Afsal A, Regi Kumar V. “Creation of Smart Contract for the Blockchain based Trade Finance” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp. 122-125 July 2018 URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/122-125.pdf

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Anonymity Analysis of Bitcoin Transactions Using Unsupervised Machine Learning

Bivin S. Nair, Regi Kumar V. – July 2018 Page No.: 126-129

Bitcoins are digital currencies that works on technology called blockchain, which is a public electronic ledger that is openly shared among the nodes in the network and creates an unchangeable record of the transactions. In financial networks, thieves and their illegal activities are called as anomalies. Members of a network want to detect anomalies as soon as possible to prevent them from creating problems in the network’s community and integrity. This study focuses on anomaly detection of the bitcoin transactions using unsupervised machine learning method. An anomaly detection model is developed with the help of isolation forest algorithm. The developed model initially extracts all bitcoin transaction data and various features of the same. The incorporated isolation forest algorithm isolates observations by arbitrarily choosing a feature and afterward split the value amongst most extreme and least ones of the selected features. The anomalies are detected by running developed the isolation forest model and the most suspicious transactions are determined for corrective action.

Page(s): 126-129                                                                                                                   Date of Publication: 05 August 2018

 Bivin S. Nair
Financial Engineering, Department of Mechanical Engineering, College of Engineering, Trivandrum, Kerala, India

 Regi Kumar V.
Financial Engineering, Department of Mechanical Engineering, College of Engineering, Trivandrum, Kerala, India

[1]. Duen Horng (Polo) Chau, Carey Nachenberg, Jeffrey Wilhelm, Adam Wright, Christos Faloutsos Polonium: Tera-Scale Graph Mining and Inference for Malware Detection 2011, Proccedings of SIAM International Conference on Data Mining (SDM).
[2]. Reid, F. and Harrigan, M. An Analysis of Anonymity in the Bitcoin System 2011
[3]. R. Gross and A. Acquisti. Information Revelation and Privacy in Online Social Networks. In Proceedings of the 2005 ACM Workshop on Privacy in the Electronic Society, pages 71-80. ACM, 2005.
[4]. Narayanan and V. Shmatikov. De-anonymizing Social Networks. In Proceedings of the 30th Symposium on Security and Privacy.
[5]. R. Puzis, D. Yagil, Y. Elovici, and D. Braha. Collaborative Attack on Internet Users Anonymity. Internet Research, 19(1):60-77, 2009.
[6]. Y. Altshuler, N. Aharony, Y. Elovici, A. Pentland, and M. Cebrian. Bitcoin: An Innovative Alternative Digital Currency. Hastings Science& Technology Law Journal.
[7]. Farren, D., Pham, T., and Alban-Hidalgo, M. Low LatencyAnomaly Detection and Bayesian Network Prediction of Anomaly Likelihood. arXiv preprint arXiv:1611.03898, 2016.
[8]. Pham, T. and Lee, S. Anomaly Detection in the Bitcoin System – A Network Perspective. arXiv preprintarXiv:1611.03942, 2016.
[9]. Adrian Blundell-Wignall. The bitcoin question: Currency versus trustless transfer technology. OECD Working Papers on Finance, Insuranceand Private Pensions, 2014.
[10]. Satoshi Nakamoto. Bitcoin: A peer-to-peer electronic cash system. Consulted, 1(2012):28, 2008.
[11]. Deepak Zambre and Ajey Shah. Analysis of bitcoin network datasetfor fraud. Unpublished Report.
[12]. http://anonymity-in bitcoin.blogspot.com

Bivin S. Nair, Regi Kumar V. “Anonymity Analysis of Bitcoin Transactions Using Unsupervised Machine Learning” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp.126-129 July 2018  URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/126-129.pdf

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Smart Grids, Deployment Efforts and Challenges

Indrima Upadhyay and Dr. Shudha Arora – July 2018 Page No.: 130-133

With changing times and ever advancing technologies, it is very pertinent that the current electric power system evolves. The improvement in the existing system is whetted by exigent necessity to decarbonize electricity supply, to replace ageing assets and to make potent use of booming information and communication technology (ICTs). The aforementioned requirements are met by Smart Grids, the concept of which revolves around the idea of providing greater visibility to lower voltage networks and enabling the consumers in the operation of power system, through Smart Meters and Smart Homes. Thus, Smart Grids tend to make use of the advanced ICT to control new energy system consistently, reliably and efficiently. There are thousands of power plants that generate electricity using wind energy, nuclear energy, coal, hydro, natural gas, and a variety of other resources. These electric generating stations produce electricity at a certain electrical voltage, which is stepped up or down as per the requirement at each level of distribution of electricity. A network of electrical components deployed to supply, transfer, and use electric power make up a power system. The basic idea behind Smart Grids is to add monitoring, analysis, control, and communication capabilities to the electrical delivery system to maximize the energy throughout of the system while reducing the loses. Consumers, thus, with the advent of Smart Grid will have the flexibility and choice to manage their electrical use helping them in slashing the electrical bill.

Page(s): 130-133                                                                                                                   Date of Publication: 05 August 2018

 Indrima Upadhyay
B. Tech Student, Electrical Engineering, College of Technology, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar-263145, Uttarakhand, India.

 Dr. Shudha Arora
Professor & Head, Electrical Engineering, College of Technology, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar-263145, Uttarakhand, India.

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Indrima Upadhyay and Dr. Shudha Arora “Smart Grids, Deployment Efforts and Challenges” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp.130-133 July 2018  URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/130-133.pdf

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Role of Botanical Drugs in Controlling Dengue Virus Disease

Ravindra B. Malabadi, Raju K. Chalannavar, Supriya S, Nityasree BR, Sowmyashree K, Neelambika T. Meti – July 2018 Page No.: 134-159

Dengue is a mosquito-born viral infection which is one of the serious threats to human population and economic burden in tropical and sub-tropical region particularly in Asia. The viral infection causes flu-like symptoms and can develop into a potentially fatal form of the disease – dengue haemorrhagic fever (DHF) which eventually leads to dengue shock syndrome (DS). The severity of dengue fever is further amplified by the lack of treatment. Till today there is no treatment or medicine for controlling the dengue fever and except Dengavaxia which is not enough for the protection from infection of all the four serotypes of dengue. India has a rich diversity of herbal medicine which is used in traditional ethnomedicine. Indian rural population still depends upon herbal medicine for the treatment of various viral fevers including dengue virus disease because of its cost effectiveness and easily availability. Therefore, Indian traditional/folk medicine system known as Ayurveda plays an important role in controlling many viral infections including dengue disease. Hence new antiviral medicines of botanical origin could be easily accepted, being non-toxic and inexpensive. This review paper updated and discussed most of the published research work on the use of herbal medicine for the treatment of dengue fever which could be the primary knowledge on the anti dengue plants. These anti dengue plants could be further analyzed and studied for the future development of botanical drugs for controlling dengue viral disease.

Page(s): 134-159                                                                                                                   Date of Publication: 05 August 2018

 Ravindra B. Malabadi
Miller Blvd NW, Edmonton, Alberta, Canada

 Raju K. Chalannavar
Department of Applied Botany, Mangalore University, Mangalagangotri-574199, Mangalore, Karnataka State, India

 Supriya S
Department of Applied Botany, Mangalore University, Mangalagangotri-574199, Mangalore, Karnataka State, India

 Nityasree BR
Department of Applied Botany, Mangalore University, Mangalagangotri-574199, Mangalore, Karnataka State, India

 Sowmyashree K
Department of Applied Botany, Mangalore University, Mangalagangotri-574199, Mangalore, Karnataka State, India

 Neelambika T. Meti
Plant Biotechnology Laboratory, Rajiv Gandhi Institute of IT and Biotechnology, Bharati Vidyapeeth University, Pune-Satara Road, Katraj, Pune-411046, Maharashtra State, India

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Ravindra B. Malabadi, Raju K. Chalannavar, Supriya S, Nityasree BR, Sowmyashree K, Neelambika T. Meti “Role of Botanical Drugs in Controlling Dengue Virus Disease” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp.134-159 July 2018  URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/134-159.pdf

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Development of Novel Topical Formulations for Anti-aging Effect
Dr. Meenal M Rane, Dr. Amrita Bajaj, Kapil Waghela – July 2018 – Page No.: 160-169

There is increase in demand for cosmetics which have anti-ageing properties as majority of the population is concentrating on personal care and maintenance of skin . Different strategies are used to enhance the efficacy of dermatological delivery systems. Several anti-ageing therapies are used by people, but these therapies are associated with several side effects which limit their applicability in the market. The present article describes the novel trends in treatment of ageing. This article focuses on the multiple uses of DL α Tocopheryl acetate in the treatment of ageing, wrinkles and its effect on moisture retention, elasticity and fatigue of the skin.

Page(s): 160-169                                                                                                                   Date of Publication: 05 August 2018

 Dr. Meenal M Rane
SVKMs Dr. Bhanuben Nanavati College of Pharmacy, Mithibai Campus, Vile Parle, Mumbai, Maharashtra, India

 Dr. Amrita Bajaj
SVKMs Dr. Bhanuben Nanavati College of Pharmacy, Mithibai Campus, Vile Parle, Mumbai, Maharashtra, India

 Kapil Waghela
SVKMs Dr. Bhanuben Nanavati College of Pharmacy, Mithibai Campus, Vile Parle, Mumbai, Maharashtra, India

[1]. Mazzarello, V., Cametti, M., et al.;Analysis of the microtopography of the skin by silicone replicas after repeated exposure to actinic radiation at high altitudes. J. Eur. Acad. Dermatol. Venereol. 15:224,2001.
[2]. Robinson LR, Doughty DC, et al.; Topical palmitoylpentapeptide provides improvement in photoaged human facial skin .Int J CosmetSci, 27 (3) : 155-60,2005 .
[3]. Bissett DL, Sun P, et al.; Topical Niacinamide reduces yellowing , wrinkling, red blotchiness and hyperpigmented spots in ageing facial skin Int J CosmetSci ,26 (5) : 231-238,2004 .
[4]. Gupta AK, GoverMD ,Nouri K et al.; The treatment of melasma:a review of clinical trials. J Am AcadDermatol , 55 (6) : 1048-65, 2006.
[5]. V. Gallandro, M. Munoz and MA Ruiz . Formulations of hydrogels and lipogels with vitamin E, J.Cosmet . Dermatol , 4:187-192,2005.
[6]. Laugel C, Baillet A, Youenang P, et al.; Oil–water-oil multiple emulsion of prolong delivery of hydrocortisone after topical application , Comparison with simple emulsions. Int J Pharma . 160: 109-17,1998 .
[7]. Moussaoui N, Cansell M DenizotA .Marinosomes , marine lipid-based liposomes : Physical characterization and potential applications of cosmetics . Int J Pharma , 242: 361-365,2002
[8]. Marcia Ramos- e-Silva et al.; Elderly skin and its rejuvenation : Products and procedures for the aging skin , Journal of cosmetic Dermatology, 6:40-50, 2011
[9]. Kyatama K, Raghow R, et al.; A pentapeptide from type 1 procollagen promotes extracellular matrix production. J Bio Chem ,238 (14) : 9941- 9944,1993 .
[10]. Mukherjee S, Date A , Patravale V , et al .;Retinoides in the treatment of skin aging : an overview of clinical efficacy and safety . Clininterv Ageing ,1 (4) : 327-48,2006
[11]. H. Drago , G.H. Martin , F. Sturla et al.; The next generation of burns treatment : intelligent films and matrix , controlled enzymatic debridement and adult stem cells, Transplantation Proceedings, 42(1) : 345-349 , 2010

Dr. Meenal M Rane, Dr. Amrita Bajaj, Kapil Waghela “Development of Novel Topical Formulations for Anti-aging Effect” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp.160-169 July 2018 URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/160-169.pdf

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Employee Motivation and Empowerment at Kerala Khadi and Village Industries, Avinissery
Dr. Salini B Nair, Shitha. M. S – July 2018 – Page No.: 170-184

Employee motivation and empowerment is more important in all organization. Motivation is a dynamic organizational behavior issue and there cannot be any organization – specific motivation tool. The motivational perceptions of all types of employees throughout the world are fast changing in response to a number of key variables. Empowerment has been accepted as an important organization factor in satisfying the psychological needs of the employees in the work place. It is the process of enabling an individual to think, behaves, take action, and control work and decision making in autonomous ways. The study on employee motivation and empowerment helps the organization to get maximum information with regard to employee job performance. Therefore the study on employee motivation and empowerment at KVIC is conducted based on several variables such as organizational structure, working conditions, job security, suggestion system etc. in order to helps the management to formulate suitable policies relating to motivation and employee empowerment.

Page(s): 170-184                                                                                                                   Date of Publication: 06 August 2018

 Dr. Salini B Nair
Associate Professor, Dept of Management Studies, Institute of Management & Technology, Pottore, Thrissur, Kerala, India

 Shitha. M. S
Management Student, Institute of Management & Technology, Pottore, Kerala, India

Books
[1]. Kothari C R, Research Methodology, New Age International Publishers, 2001
[2]. Caudron S, Create an empowering environment, Personnel Journal,1995
[3]. Bruce, A. Pepitone, J.S, Motivating Employces, McGrew-Hill International,1999
[4]. Shidles, J. Managing Employee Performance and Reward: Concepts, Pratices,Strategies,Oxford University Press, 2007
[5]. Lokley, M, The Secret to Motivating a Team, The Guardian, January 6, 2012.
[6]. Llopis, G, The Top 9 Things That Ultimately Motivate Employees to Achieve,Frobes,2012
[7]. Thomas, K.T, Intrinsic Motivation at Work: What Really Drives Employee Engagement,2nd edition, Berrett-Kochler Store, 2009.
[8]. K.Aswathappa,Organizational behavior,6th revised edition
Websites
[9]. www.kerala khadi.org
[10]. www.google.com

Dr. Salini B Nair, Shitha. M. S “Employee Motivation and Empowerment at Kerala Khadi and Village Industries, Avinissery” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp. 170-184 July 2018 URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/170-184.pdf

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Continuous Integration, Delivery, and Deployment: A Revolutionary Approach in Software Development

Mahendra Nath, Jayashree Muralikrishnan, Kuzhanthaiyan Sundarrajan, Madhu Varadarajanna – July 2018 Page No.: 185-190

Presently, Software Development is a nonstop procedure. In the meantime, designers, analyzers work in various modules of a typical task. Along these lines, there ought to be process stream which everybody ought to take after with the goal that one folks work won’t hamper different folks work in same venture. For fast and nonstop improvement, Continuous Integration, Delivery and Deployment is the best practice. This approach causes associations to often and dependably discharge new upgraded highlights to existing venture or item. As this approach is utilized by surely understood programming enterprises, this paper gives a short depiction on Continuous Integration, Delivery and Deployment process, the advantages of following this approach, a portion of the difficulties looked by following these methodologies and couple of thoughts to enhance these methodologies. Additionally, from already distributed papers I recorded some basic elements, for example, Testing (Effort and Time), Team Awareness and Transparency, great Design Principles, Customers, profoundly gifted and propelled Team, Application Domain, and fitting foundation that ought to be deliberately when following this Continuous Integration, Delivery and Deployment approach. These methodologies have turned into a vital zone of programming building exploration and practices. While these methodologies are tending to an extensive variety of difficulties. Be that as it may, there are a few difficulties and holes, which require future research like catching and announcing the logical data, picking up a profound seeing how programming framework ought to be intended to help these methodologies and tending to the absence of learning and apparatuses for building procedures of planning and running secure organization pipelines.

Page(s): 185-190                                                                                                                   Date of Publication: 06 August 2018

 Mahendra Nath

 Jayashree Muralikrishnan

 Kuzhanthaiyan Sundarrajan

 Madhu Varadarajanna

[1]. Mahendra Prasad Nath, Santwana Sagnika, Madhabananda Das, Manjusha Pandey, “Object Recognition using Cat Swarm Optimization, “International Journal of Research and Scientific Innovation (IJRSI), Volume IV, Issue VIIS, July2017
[2]. Mahendra Prasad Nath, Kanika Goyal, Jugesh Prasad, Bhavya Kallur, Chat Bot – An Edge to Customer Insight, International Journal of Research and Scientific Innovation (IJRSI) | Volume V, Issue V, May 2018
[3]. Mojtaba Shahin, Muhammad Ali Babar, Liming Zhu, Continuous Integration, Delivery and Deployment: A Systematic Review on Approaches, Tools, Challenges and Practices, IEEE Access, March 22, 2017
[4]. M. Shahin, M. Ali Babar, and L. Zhu, ―Continuous Integration, Delivery and Deployment: A Systematic Review on Approaches, Tools, Challenges and Practices”, IEEE Access, 2017

Mahendra Nath, Jayashree Muralikrishnan, Kuzhanthaiyan Sundarrajan, Madhu Varadarajanna “Continuous Integration, Delivery, and Deployment: A Revolutionary Approach in Software Development” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp.185-190 July 2018  URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/185-190.pdf

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Tribal Livelihood Practices and Food Security: A Study on Role and Responsibility of Tribal Women in Odisha (India)
Rajadarshini Patra – July 2018 – Page No.: 191-197

I. INTRODUCTION

The Beijing declaration of 1995 promised a better world! A world in which women would have equal rights, an equal share in all spheres of society, where women would be empowered and human rights would be women rights! A special platform during the Beijing conference was devoted to ‘gender and environment’, linking gender inequality to lack of access to resources and food insecurity. Since independence Government of India and Government of various states have taken lots of initiation for development of tribal livelihoods. Lots of programmes are implemented for sustaining their livelihoods. The development policy for the tribals has changed its strategy continuously in search of sustainability. The social scientists have laid emphasis on the importance of cultural fabric of the tribal world to accelerate this process.

Page(s): 191-197                                                                                                                   Date of Publication: 08 August 2018

 Rajadarshini Patra
Independent Researcher & Visiting Faculty (Women’s Studies)
Research Director, Center for Child Welfare and Social Development, Bhubaneswar, Odisha, India

[1]. Action Against Hunger report,2011
[2]. Arun, Shoba, Heeks Richard, Morgan Sharon, “Researching ICT-Based Enterprise for Women in Developing Countries: A Livelihood Perspective”, Women’s ICT-Based Enterprise for Development project, IDPM, University of Manchester, UK, 2004
[3]. Ashley, C and Carney, D (1999) Sustainable Livelihoods: Lessons from Early Experience. Department For International Development: London
[4]. Bruijn de Mirjam, Gender equality and Food Security: A Development Myth, African Studies Centre, Leiden, The Netherlands, CODESRLA Bulletin, No. 1 & 2, 2006
[5]. Carney, D. et al, 1999, ‘Livelihood Approaches Compared’. London: DFID.
[6]. Crises. Rome 2010.
[7]. FAO/WFP. 2010. The State of Food Insecurity in the World 2010: Addressing Food Insecurity in Protracted
[8]. Hussein, K., 2002, ‘Food security: rights, livelihoods and the World Food Summit-five years later’ in Food in Social Policy – Special issue of Social Policy and Administration. Summer 2002. Edited by Catherine Finer Jones and Elizabeth Dowler.
[9]. Jaspars S, S.O’ Callaghan and E. Stites, 2007 “Linking Livelihoods and Protection: A Priliminary Analysis based on review of literature and agency practice, HPG Working Paper: Overseas Development Institute.
[10]. Lenka A., Nedunchezhiyan M., Jata Sushant Kumar, Sahoo Biswanath, “Livelihod Improvement and Nutritional Security Through Tuber Crop in Odisha”, Odisha Review, 2012
[11]. Long-term Food Security: Investigating in people and livelihood, International Federation of Red Cross and Red Crossent Societies.
[12]. Maxwell, S., 1991, Introduction in Maxwell (ed.) To cure all hunger: Food policy and food security in Sudan. IT Publications.
[13]. Oraon, Vijay, “Changing Patterns of Tribal Livelihoods: A Case Study in Sundergarh District, Odisha” , Thesis of Development Studies, 2012
[14]. Padhee Shakti and P. Nilakantha ,Tribal Movements and Livelihoods: Recent Developments in Orissa
[15]. Report on Conference Sessions XVI International AIDS Conference, “HIV/AIDS, Food Security and Gender Equality”, Toronto, Canada, 2006
[16]. Saad Bne, Majda, Food Security for the Food-Insecure: new challenges and renewed commitments, Centre for Development Studies, University College Dublin, Ireland, December 1999
[17]. UNDP, (1997). Sustainable Livelihood Approaches in Operation: A Gender Perspective. Paper Prepared by Perpetua Katepa-Kalala at the International Associates.
[18]. UNDP, (2006). Terminal evaluation of the GOI-UNDP food security programme in Odisha, draft report,
[19]. World Food Programme, 2009.

Rajadarshini Patra “Tribal Livelihood Practices and Food Security: A Study on Role and Responsibility of Tribal Women in Odisha (India)” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp.191-197 July 2018 URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/191-197.pdf

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Design and Development of a Colour Sorting Machine using PLC and SCADA
K.Sasidhar, Shahwar Farooqi, Mohammed Abdul Moin, M Sachin – July 2018 – Page No.: 198-202

The purpose of this project is to present a Programmable Logic Control (PLC) and SCADA based control system that is applied to the Colour Sorting Machine. In many industrial applications, there is a need of sorting. Sorting can be done by using many ways according to the dimensions, colours, weight, using machine vision (image processing), material of an object etc. For example, in Thermal Power Station, electromagnetic sorting technique is used to sort ferromagnetic materials from coal. This project consists of components such as PLC, SCADA software, conveyors, colour sensors, electronic system and motors. The objects are being sorted according to their respective colour. The main conveyor is supported of two branches to load the distinguished object on to the respective one as separated by the electronic system and detected by the proximity sensors. In this project, SCADA provides a user-friendly environment to establish an easy communication between humans and process. SCADA shows the activation of various parts of the system, i.e. conveyors, motors, LDRs and electronic devices.

Page(s): 198-202                                                                                                                   Date of Publication: 08 August 2018

 K.Sasidhar
Assistant Professor, Dept. of EED, Muffakham Jah College of Engineering & Technology, Hyderabad, India

 Shahwar Farooqi
Student, EIE, Muffakham Jah College of Engineering & Technology, Hyderabad, India

 Mohammed Abdul Moin
Student, EIE, Muffakham Jah College of Engineering & Technology, Hyderabad, India

 M Sachin
Student, EIE, Muffakham Jah College of Engineering & Technology, Hyderabad, India

[1]. Bickman, Josh, “Automated Color-Sorting uses optical technology”, vol. 13, 1996.
[2]. C. Zhang and K. S. Suslick, “Colorimetric sensor array for soft drink analysis”, J. Agric Food Chem, vol 55, pp 237-242, 2007.
[3]. M. Frank, Nobert Kaiser, Wolfgang Buss, Ramona Eberhardt, “High-speed industrial color and position sensors”, Electronic Imaging’99, pp 50-57, 1999.
[4]. YV Aruna, Beena S “Automatic convey or system within- process sorting mechanism using PLC and HMI System”, Int. Journal of Engineering Research and Applications ISSN:2248-9622, Vol. 5, Issue 11, (part-3) November 2015,pp.37-42
[5]. D.J. Lee and R. S. Anbalagan, “High-speed automated color sorting vision system”, in Optical Engineering Midwest’95, pp 573-579, 1995.
[6]. https://en.wikipedia.org/wiki/Remote_terminal_unit
[7]. https://en.wikipedia.org/wiki/Automation
[8]. https://www.elprocus.com/scada-systems-work/
[9]. http://vtc.internshala.com/course/content.php?topic_id=15&moduleid=2&course=robotics101&demo=true
[10]. https://en.wikipedia.org/wiki/Programmable_logic_controller
[11]. https://en.wikipedia.org/wiki/Ladder_logic

K.Sasidhar, Shahwar Farooqi, Mohammed Abdul Moin, M Sachin “Design and Development of a Colour Sorting Machine using PLC and SCADA” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp. 198-202 July 2018 URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/198-202.pdf

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Le Marché des Organisations de la Société Civile au Bénin
Edgard ODJO CLEDJO, Fanès V. B.AZALOU TINGBE – July 2018 – Page No.: 203-209

The perception that Beninese have of the notion of civil society is sometimes vague, sometimes confused. This research aims to establish a typology of civil society in the context of Benin, given that a first step was taken during a national refocusing seminar. The methodological approach to research is of the qualitative type and has focused more on the search for the meaning of social phenomena around the notion of civil society in Benin in a comprehensive perspective. The data were collected from 96 people selected by reasoned choice in the main urban centers of the country. The results show that some organizations today known as “civil society” have a pre-colonial presence. This diversity of origin, nature and field of action is both a constraint and an opportunity for the typology of CSOs. The constraint lies in the fact that, because of this great multi-level diversity, there cannot be a single way to classify CSOs. One could thus decline several typologies according to for example the origin, the nature, the field of action, the strategic interest, the potential of action, etc. But this exercise carries a real risk of misplacement and dispersion. On the other hand, it offers a good opportunity for a more in-depth analysis of the players in this sector. This is why, for the sake of efficiency and the restitution of the socio-historical reality that characterizes this controversial notion of civil society, two typologies proposals based on the cultural origin of CSOs on the one hand and their level of intervention on the other hand are formulated.

Page(s): 203-209                                                                                                                   Date of Publication: 08 August 2018

 Edgard ODJO CLEDJO
Département de Sociologie-Anthropologie (FASHS/UAC/Bénin)

 Fanès V. B.AZALOU TINGBE
Laboratoire Pierre PAGNEY, Climat, Eau, Ecosystème et Développement (LACEEDE), 01 BP 1534 Abomey-Calavi, Bénin

[1] Banque Mondiale, 1992, Governance and development, World Bank, Washington D. C., pp.25-28.
[2] Banque Mondiale, 1996, The World Bank’s partnership with nongovernmental organisations, Washington D. C. a, World Bank, p1.
[3] Bayart J.-F., 1996,The World Bank’s partnership with nongovernmental organisations, Washington D. C. a, World Bank, p1.
[4] Fino D., 1996, « De l’aide internationale au renforcement des capacités nationales », in Impasses et promesses. L’ambiguïté de la coopération au développement, Nouveaux Cahiers de l’IUED, PUF, Paris, p. 17.
[5] Haubert M., 2000,« L’idéologie de la société civile », in, Haubert M.et Rey P.-P. (coord.), Les sociétés civiles face au marché. Le changement social dans le monde postcolonial, Paris, Karthala.
[6] Juhé-Beaulaton D., 2009,« Le vodou au cœur des processus de création et de patrimonialisation au Bénin ». Africa e Mediterraneo, numéro 67, Lai-momo
[7] Lewis D., 2002,« Civil Society in Africa contexts : reflections on the usefulness of a concept », In, Development and change, Vol. 33, N° 4,
[8] Ministère chargé des relations avec les Institutions, 2007, Les actes du séminaire national sur le recentrage du concept de société civile au Bénin, MCRI, Cotonou, 145p.
[9] Olivier de Sardan J.-P., 1995, Anthropologie et Développement, Essai en socio-anthropologie du changement social, Paris, Karthala.
[10] Pirotte G. et Poncelet M., 2002, « Eveil des sociétés civiles en milieu urbain et organisations non gouvernementales : les exemples de Cotonou et Lubumbashi », Autrepart, Cahiers des sciences humaines, IRD, La Tour d’Aigues, Editions de l’Aube, N° 23.

Edgard ODJO CLEDJO, Fanès V. B.AZALOU TINGBE “Le Marché des Organisations de la Société Civile au Bénin” International Journal of Research and Scientific Innovation (IJRSI) vol.5 issue 7, pp. 203-209 July 2018 URL: http://www.rsisinternational.org/journals/ijrsi/digital-library/volume-5-issue-7/203-209.pdf

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