Inter Cell Interference Mitigation for 4G Networks Using Intelligent Multi Cell Resource Coordination Algorithm
Alozie P.E., Onoh G.N., Ebere U.C- Februray 2022 Page No.: 01-08
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This work presents the mitigation of inter cell interference for 4G networks using intelligent multi cell resource coordination algorithm. The study was embarked on to effectively manage and coordinate the effect of interference on 4G network which has resulted to poor throughput performance, latency and main effect on voice communication. The problem was solved developing an algorithm for the management of interference and deploying on the cells with priority on voice over internet data. This was implemented using Long term evolution toolbox, communication toolbox, signal processing toolbox and then deployed on the 4G eNodeB using Matlab. The system was tested on femto cell and the result showed that signal to noise to interference ratio was coordinated and average throughput percentage recorded is 70% which according to the ITU-T standard is good quality of service in 4G Network
Page(s): 01-08 Date of Publication: 07 March 2022
Authors
Alozie P.E.
Enugu State University of Science and Technology
Onoh G.N.
Enugu State University of Science and Technology
Ebere U.C
Destinet Smart Technologies
References
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[2] Alozie P. (2021)” Mitigation of inter cell interference for 4G networks using intelligent multi cell resource coordination algorithm” Enugu State University of Technology, Nigeria. PhD. dissertation (unpublished).
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Alozie P.E., Onoh G.N., Ebere U.C “Inter Cell Interference Mitigation for 4G Networks Using Intelligent Multi Cell Resource Coordination Algorithm” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-7-issue-2, pp.01-08 Februray 2022 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/volume-7-issue-2/01-08.pdf
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Analysis of Production Line Quality Using Time Study
Joy E. Abraham-Igwemoh, O.M.O. Etebu- Februray 2022 Page No.: 09-13
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Every industry must devise a technique for evaluating the process output with measurable standard and take remedial action if there exist variation in both results; it is called quality control and it enhances productivity. This research focuses on the analysis of an industry’s service quality using time study to identify the non-value adding task such as motion that increases the service delivery time thereby reducing the overall productivity. A flow chart was drawn to show the flow operation processes and five members of staff were examined to evaluate the observed time each task was performed relative to the standard time for efficiency computation. The results from the efficiency chart as depicted by the bar chart showed that task F, G, H and G (which required minimum motion) had the highest efficiencies in decreasing order compared to the other tasks. The location model was used to analyze the assembly line to determine suitable possible locations for both facility; storage site and workshop floor that will enhance staff efficiency and improve productivity. The effect of staff age and number of work experience relative to working hour was also evaluated and the result as shown by MS-Excel line plot is that, experience increases performance for technical tasks and is also a function of age while for task requiring human labour (in terms of effort) the younger the staff the higher the level of performance.
Page(s): 09-13 Date of Publication: 09 March 2022
Authors
Joy E. Abraham-Igwemoh
Department of Mechanical Engineering, University of Port Harcourt, Nigeria
O.M.O. Etebu
Department of Mechanical Engineering, University of Port Harcourt, Nigeria
References
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Joy E. Abraham-Igwemoh, O.M.O. Etebu “Analysis of Production Line Quality Using Time Study” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-7-issue-2, pp.09-13 Februray 2022 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/volume-7-issue-2/09-13.pdf
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Optimization Process of Parameters for the Transesterification of Jatropha curcas Seed Oil using Response Surface Methodology (RSM)
Abbas Abubakar, Auwal A. Mahmoud, Dahiru A. Ajiya, Umar F. Hassan, Khuzaifa Y. Muhammad, Sha’aban Sallau and Salim Yushau, Abubakar H.I- Februray 2022 Page No.: 14-22
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Biodiesel comprises of monoalkyl esters of long chain fatty acids. It is produced using edible oil, non-edible oil and animal fats by acid or base catalyzed transesterification with ethanol or methanol. In this research work, the oil was extracted using n-hexane. Response surface Methodology (RSM) with central composite design (CCD) was applied to optimize the biodiesel production from seed oil. An optimum biodiesel yield of 98.32 % was obtained by transesterifying Jatropha seed oil with 0.30 g of catalyst and ethanol to oil molar ratio of 12:1 at 65 oC for 2 hrs. The experimental yield is in good agreement with the predicted yield, with relatively small percentage error (0.58 %). This shows that the proposed statistical model is suitable for prediction of optimized biodiesel yield and for optimization of transesterification process
Page(s): 14-22 Date of Publication: 11 March 2022
Authors
Abbas Abubakar
Department of Chemistry Abubakar Tafawa Balewa University Bauchi, Nigeria.
Auwal A. Mahmoud
Department of Chemistry Abubakar Tafawa Balewa University Bauchi, Nigeria.
Dahiru A. Ajiya
Department of Chemistry Abubakar Tafawa Balewa University Bauchi, Nigeria.
Umar F. Hassan
Department of Chemistry Abubakar Tafawa Balewa University Bauchi, Nigeria.
Khuzaifa Y. Muhammad
Department of Chemistry Abubakar Tafawa Balewa University Bauchi, Nigeria.
Sha’aban Sallau
2. Department of Pure and Applied Chemistry, Bayero University Kano, Kano State, Nigeria.
Salim Yushau
Department of Chemistry Abubakar Tafawa Balewa University Bauchi, Nigeria.
Abubakar H.I
Department of Chemistry Abubakar Tafawa Balewa University Bauchi, Nigeria.
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[32] Mahmoud, A. A., Kwada, S. I., Jauro, A., and Abubakar, A. (2020). Production and biodegradability of biodiesel from Lagenaria siceraria seed oil. International Journal of research and innovation in applied science 5, and (3), 94-98.
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Cite
Abbas Abubakar, Auwal A. Mahmoud, Dahiru A. Ajiya, Umar F. Hassan, Khuzaifa Y. Muhammad, Sha’aban Sallau and Salim Yushau, Abubakar H.I “Optimization Process of Parameters for the Transesterification of Jatropha curcas Seed Oil using Response Surface Methodology (RSM)” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-7-issue-2, pp.14-22 Februray 2022 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/volume-7-issue-2/14-22.pdf
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Experimental Investigation of Energy Efficiency and Saving Opportunities for an Industrial Boiler in Process Industry: A Case Study of a Textile Manufacturing Industry in Kenya
Isaiah kimutai and Paul Maina – Februray 2022 Page No.: 23-30
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Boilers are widely used in process industries to generate steam and hot water. Boiler systems represent a significant portion of total industrial energy use. A slight improvement of boiler efficiency reduces production cost which is necessary for textile industries especially in developing countries to remain profitable and competitive both locally and globally. This paper presents performance assessment of industrial Wood fire- tube boiler used in a textile industry. Performance test was conducted to determine actual performance and energy efficiency of the boiler by flue gas analysis of various flue gas samples exiting the boiler installation. The results displayed poor performance of the boiler with overall efficiency of 17.35% against design efficiency ranging between 75-77%. The major heat losses of the boiler found include dry flue gas loss (58.97%), heat loss due to moisture present in fuel (11.48%) and heat loss due to evaporation of water formed due to H2 present in fuel (9.61%). Based on the results high energy potential lies on excess air control and reduction of moisture content present in wood fuel.
Page(s): 23-30 Date of Publication: 18 March 2022
Authors
Isaiah kimutai
Department of Mechanical & Production Engineering, Moi University, Eldoret, Kenya
Paul Maina
Department of Mechanical & Production Engineering, Moi University, Eldoret, Kenya
References
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Isaiah kimutai and Paul Maina “Implementation of a Type-2 Fuzzy Logic Based Prediction System for the Nigerian Stock Exchange” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-7-issue-2, pp.23-30 Februray 2022 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/volume-7-issue-2/23-30.pdf
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Inventory Management Best Practices in Malaysia Manufacturing
Santhirasegaran Nadarajan, Sitraselvi Chandren, Ezanee Bin Mohamed Elias, Kamarul Irwan bin Abdul Rahim – Februray 2022 Page No.: 31-33
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Inventory management best practices succumb to how well a company efficiently control the stocks which have repercussion on overall financial position as it is well known as capital assets which may lead to liabilities when poorly manage. This paper shall address some key success factors in managing inventory efficiently and effectively base on the main author working experience more than fifteen years in electronic and electrical manufacturing. The approach of having efficient stock control point reflects how well the manufacturing paying lot of attention to ensure the current capital asset properly been used and replenished at the same time by not keeping too much inventories and having too low as well. This review paper shall be an eye opener for industry players and academic in building knowledge and concept benchmarking the best practices commonly uphold by many manufacturing and add on contribution to research community.
Page(s): 31-33 Date of Publication: 18 March 2022
Authors
Santhirasegaran Nadarajan
School of Technology Management & Logistics, Universiti Utara Malaysia, Sintok Kedah, Malaysia
Sitraselvi Chandren
Tunku Puteri Intan Safinaz School of Accountancy, College of Business, Universiti Utara Malaysia, Sintok Kedah, Malaysia
Ezanee Bin Mohamed Elias
School of Technology Management & Logistics, Universiti Utara Malaysia, Sintok Kedah, Malaysia
Kamarul Irwan bin Abdul Rahim
School of Technology Management & Logistics, Universiti Utara Malaysia, Sintok Kedah, Malaysia
References
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[3] Nadarajan, S., Abdul Rahim, M. K. I., & Mohd Saifudin, A. (2019). Innovation diffuse “E-DELJIT” system: a new concept in reducing the impact of supply networks disruption. International Journal of Supply Chain Management (IJSCM), 8(6), 893-896.
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[5] Chandren, S., Nadarajan, S., & Abdullah, Z. (2015). Inventory physical count process: A best practice discourse. International Journal of Supply Chain Management, 4(3), 87-93.
[6] S Nadarajan, G Nadarajah, AY Bahaudin 2014 Determinants of materials shortages affecting supply chain: Review on semiconductor manufacturing
[7] Chandren, S., Nadarajan, S., & Nadarajah, G. (2012). Causes of Inventory Errors and Its impact on Supply Chain. International Journal of Academic Research, 4(5).
[8] Nadarajan, S., & Chandren, S. (2011). Review on causes of raw materials shortages on electronic base manufacturing built to order perspective. European Journal of Scientific Research, 66(2), 219-224.
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Santhirasegaran Nadarajan, Sitraselvi Chandren, Ezanee Bin Mohamed Elias, Kamarul Irwan bin Abdul Rahim “Inventory Management Best Practices in Malaysia Manufacturing” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-7-issue-2, pp.31-33 Februray 2022 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/volume-7-issue-2/31-33.pdf
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Impact of Social Policy Programmes (N-Power) on Youth Development, In Hong Local Government Area of Adamawa State, Nigeria
FELIX, Maxwell Gaya, WILLIAMS, James Geffery and SUNDAY, Tufang- Februray 2022 Page No.: 34-39
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The study examined the impact of social policy programmes (N Power) on youth development in Hong Local Government Area of Adamawa State, Nigeria. The specific objectives of the study were to examine the impact of Social policy programmes (the N power) scheme in employment generation, economic wellbeing and job skills enhancement of youth. Purposive and simple random sampling techniques were used to sample four hundred respondents and the data obtained were analysed using descriptive statistics. The results of the study revealed that N-power scheme create job opportunities, curtail incidence of poverty, training of youth as all the items were accepted. The programme improved living standard among youth as all the items were accepted by the respondents and the most common N-power programme is N-power teach. The scheme face challenges of supervision, delay in payment of stipulated allowance and attitudes of some volunteer. The study concluded that the programme meant to provide employment to unemployed youth but faced some challenges for the youth to fully benefit from the scheme. It was recommended that government should provide skills acquisition Centre, adequately funded, equipped and due attention should be given at all levels to serve as a hub for massive employment generation, ramp up pressures on state governments to absorb some of the volunteers who happened to be in good records, give incentive to both staff and volunteer of the programme and Local Government Areas should have office access to the National investment Headquarters at Abuja for complain, and for regular supervision.
Page(s): 34-39 Date of Publication: 21 March 2022
Authors
FELIX, Maxwell Gaya
Adamawa State College of Education, Hong
WILLIAMS, James Geffery
Adamawa State College of Education, Hong
SUNDAY, Tufang
Adamawa State College of Education, Hong
References
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FELIX, Maxwell Gaya, WILLIAMS, James Geffery and SUNDAY, Tufang “Impact of Social Policy Programmes (N-Power) on Youth Development, In Hong Local Government Area of Adamawa State, Nigeria” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-7-issue-2, pp.34-39 Februray 2022 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/volume-7-issue-2/34-39.pdf
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Modified Tentacle Algorithm for Collision Avoidance for UAV
C.N. Eze, N. Nnaji- Februray 2022 Page No.: 40-42
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A collision avoidance methodology in UAV Operation using the modified tentacles algorithm is proposed in this work. Tremendous and remarkable achievements have been recorded in the area of collision avoidance in UAV operations. Applying the modified tentacles algorithm, this research used two point research objectives the principal aim was to maintain accurate collision avoidance. With a reliable simulation result, an algorithm based on the modified tentacles technique was proposed. This was also modeled. In executing the proposed algorithm, a 3D environmental data and information were converted to 2D information for ease of mathematical computation. Appropriate occupancy grid maps were generated to show a practical result of the 3D conversion to 2D. Thus, instead of dealing with an x, y, z or three dimensional environments, an x, y or two dimensional environment results and mathematical differentiation was applied. A development of an integrated model comprising of the conventional, Modified Tentacles Algorithm. This all inclusive integrated model was simulated in order to validate and justify the work. It is a justification and validation of this research on the use of Modified Tentacles Algorithm in achieving energy efficiency in UAV operations. It has been established that energy consumption in UAV operations is influenced by its mode of operation at a given time.
Page(s): 40-42 Date of Publication: 21 March 2022
DOI : 10.51584/IJRIAS.2022.7201Authors
C.N. Eze
Department of Computer Engineering Enugu State Polytechnic Iwollo Ezeagu, Nigeria
N. Nnaji
Department of Electronic Engineering, University of Nigeria, Nsukka, Nigeria
References
[1] M. Zhang. Formation flight and collision avoidance for multi- ple uavs based on modified tentacle algorithm in unstructured environments. PLoS ONE, 12(8):e0182006, 2017.
[2] Yu Wan, Jun Tang, and Songyang Lao. Research on the Collision Avoidance Algorithm for Fixed-Wing UAVs Based on Maneuver Co- ordination and Planned Trajectories Prediction. Applied Sciences Publications, 2019.
[3] Hyun-Rok Cha Huang and Sung Yong Jung. Practical en- durance estimation for minimizing energy consumption of multirotor unmanned aerial vehicles. Energies, 11:2221, 2019
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C.N. Eze, N. Nnaji “Modified Tentacle Algorithm for Collision Avoidance for UAV” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-7-issue-2, pp.40-42 Februray 2022 DOI: https://dx.doi.org/10.51584/IJRIAS.2022.7201
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Analysis of Marketing Chain of Vegetable Commodities in Around the Areas Affected by the Liquefaction Disaster
Puput Puspitasari Syamdi, Rustam Abd Rauf, Efendy, Arifuddin Lamusa, Isrun, Muhammad Basir-Cyio, Mohammad Rendy- Februray 2022 Page No.: 43-52
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Many factors cause why farmers do not have the ability to maintain their socio-economic life, mainly because it is difficult to obtain fresh funds, unavailability of production facilities and supporting factors such as fertilizers, superior seeds, counseling, and the low attention of local and central governments.Explorative and developmental research, which focuses on exploratory activities in providing an overview in mapping the profile of farmers, including the supply chain of vegetables sold to the capital city of Palu, the capital city of Central Sulawesi Province as well as a trading center and government. The research was carried out around the areas affected by the Jono Oge and Sidondo Earthquake and Liquefaction of Sigi Regency to look at the marketing chain and Palu City to see the supply chain at the Masomba and Manonda traditional markets, while to see the perpetrators of the trade system were traced based on the location of the traders and suppliers domiciled. To find out the suppliers in the traditional market, a careful identification is carried out so that the percentage (share) of suppliers outside Jono Oge can be known.The data analysis used in this research is descriptive.The longer the marketing chain in the tomato and chili vegetable trading system in the research area around Jono Oge and Sidondo which was affected by the earthquake and liquefaction, the more inefficient it will be. Thus, marketing channel I for both tomatoes and chilies is the one that gives a higher Farmer’s Share value and is more efficient than marketing channel II. All institutions involved in the marketing chain, from farmers, traders to retailers, carry out marketing functions, namely buying, selling, transportation, storage, processing, standardization and grading, financing, risk management, and market information. The margin share of producer farmers in each marketing channel for each tomato and chili is 84% and 89.74%, respectively.
Page(s): 43-52 Date of Publication: 21 March 2022
DOI : 10.51584/IJRIAS.2022.7202Authors
Puput Puspitasari Syamdi
Postgraduate Students, Masters Program in Agribusiness, Postgraduate Tadulako University
Rustam Abd Rauf
Agribusiness Study Program, Faculty of Agriculture, Tadulako University
Efendy
Agribusiness Study Program, Faculty of Agriculture, Tadulako University
Arifuddin Lamusa
Agribusiness Study Program, Faculty of Agriculture, Tadulako University
Isrun
Agroecotechnology Study Program, Faculty of Agriculture, Tadulako University
Muhammad Basir-Cyio
Agroecotechnology Study Program, Faculty of Agriculture, Tadulako University
Mohammad Rendy
Public Administration Study Program, Faculty of Social and Political Sciences, Tadulako University
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Puput Puspitasari Syamdi, Rustam Abd Rauf, Efendy, Arifuddin Lamusa, Isrun, Muhammad Basir-Cyio, Mohammad Rendy “Analysis of Marketing Chain of Vegetable Commodities in Around the Areas Affected by the Liquefaction Disaster” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-7-issue-2, pp.43-52 Februray 2022 DOI: https://dx.doi.org/10.51584/IJRIAS.2022.7202
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Probing the Effect of Artificial Intelligence and Machine Learning on Accounting Functions (Evidence from Selected Companies)
Onwughai, Emelenjor Austin- Februray 2022 Page No.: 53-69
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Artificial intelligence technology has no doubt gained ground in the field of accounting and in the performance of several routine functions. This is going to be a growing phenomenon as the entire world continues to seek for ways to use and depend more on technology and machines to perform functions hitherto done by humans, especially with the new normal of remote work brought to the fore by the COVID-19 global pandemic. This study focuses on the impact of the adoption of artificial intelligence and machine learning technologies on the accounting functions of business organisations. Survey questionnaire in addition to qualitative literature review was used to gather data from respondents and analyse previous academic and professional works on the subject. The result of this study shows that, although artificial intelligence technology will be used to replace most programmable and monotonous accounting activities, AI will also create new opportunities for the upward mobile accounting professional to grow into more strategic and rewarding carrier path rather than just being a ‘book keeper’. However in the case of companies in Nigeria specifically, the regression model is not significant since the probability value 0.846 is greater than 0.05 meaning that the null hypothesis is not rejected, implying that there is no significant statistical relationship between AI and accounting functions of Nigeria companies. The recommendation of this study is that accountants, business entities and relevant government agencies should seek for ways to profitably tap into new growing arena of artificial intelligence rather than being in denial of its impact or trying to suffocate a technology that has come to stay.
Page(s): 53-69 Date of Publication: 30 March 2022
DOI : 10.51584/IJRIAS.2022.7203Authors
Onwughai, Emelenjor Austin
Department of Accounting, Finance and Taxation, College of Post Graduate Studies, Caleb University, Lagos, Nigeria
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Onwughai, Emelenjor Austin “Probing the Effect of Artificial Intelligence and Machine Learning on Accounting Functions (Evidence from Selected Companies)” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-7-issue-2, pp.53-69 Februray 2022 DOI: https://dx.doi.org/10.51584/IJRIAS.2022.7203
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Development of Machine Learning Based Security Algorithm for 4G Network against Wormhole
Eze E.M., Ituma C., Asogwa T.C., Ebere U.C.- Februray 2022 Page No.: 70-75
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TThis work development of machine learning based security algorithm for 4G network against wormhole. This was achieved using methods such as data collection, data extraction, training and classification process. The system design employed mathematical and structural method to develop the models of the wormhole and also the new security algorithm using artificial neural network. This was implemented with Simulink and neural network toolbox, before testing. The result showed that the algorithm was able to detect wormhole at a regression of 0.9978 and Mean square error of 2.05×10^-5. The security algorithm deployed on a 4G network and tested; the result showed that throughput percentage of 89.16% and latency of 76.325ms which according to International Telecommunication Union (ITU-U) and Nigerian Communication Commission standard (NCC) are good.
Page(s): 70-75 Date of Publication: 31 March 2022
Authors
Eze E.M.
Enugu State University of Science and Technology
Ituma C.
Enugu State University of Science and Technology
Asogwa T.C
Enugu State University of Science and Technology
Ebere U.C.
Destinet Smart Technologies Ltd.
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Eze E.M., Ituma C., Asogwa T.C., Ebere U.C. “Development of Machine Learning Based Security Algorithm for 4G Network against Wormhole” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-7-issue-2, pp.70-75 Februray 2022 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/volume-7-issue-2/70-75.pdf
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