Ravo Andrianirina, Michaël Temmerman, E. J. R. Sambatra, McGordon RANAIVOSON |
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| Impacts of rice starch, cassava starch, and molasses binders on the combustion yield and durability of eucalyptus charcoal fines briquettes | ||||||
In this study, the impact of using different proportions of rice starch, cassava starch, and molasses as binders with eucalyptus charcoal fines briquettes was compared. The proportions considered were 5%, 7.5%, and 10% for rice and cassava starch, whereas for molasses, 5%, 10%, and 15% were used due to its high concentration and moisture content. Cooking tests of 3 liters of water with 15 MJ of usable calorific value (PCI) for each sample were first conducted. Subsequently, durability or impact resistance tests for each sample were carried out. At the conclusion of the testing series, it was observed that overall, the type of binder influences the combustion yield, which was 22.36%, 26.81%, and 27.30% for briquettes made with molasses, rice starch, and cassava starch, respectively.............
cooking energy, environment, bio combustible, energy yield, binder, durability
[1]. Abdu Zubairu, Sadiq Abba Gana (2014), Production and Characterization of Briquette Charcoal by Carbonization of Agro-Waste- [2]. AK Pandey, VV Tyagi, SR Park, SK Tyagi, (2012) ,Comparative experimental study of solar cookers using exergy Analysis, J.
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Ananda Farhan, Farida, Herry Agung Prabowo |
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| Analysis of Product Defect Reduction in Tubular Heaters Using Define, Measure, Analyze, Improve, and Control (DMAIC) Method | ||||||
This study aims to analyze the causes of defects in tubular heater products at PT Usaha Saudara Mandiri using quantitative data from total production and defects from January to December 2022. The sampling technique involved observation and interviews. The DMAIC method uses tools such as Control Charts, Pareto Chart, and Fishbone Diagram to improve product quality, identify the root causes of defects, and optimize the production process. The analysis results showed a total of 1,297 defective products out of 11,213 produced, with the most dominant defects occurring in February up to December 2022. Incorrect Marking ID was the main type of defect, accounting for 47%, followed by Heater Short Body...........
Defect; DMAIC; DPMO.
[1]. Central Bureau of Statistics. (2022). 2022 Manufacturing Industry Directory
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Ovuru Cyril, Edward, Anebi Tina |
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| Evaluating the Groundwater Quality of the Ogale Community for Irrigation Purposes in Rivers State | ||||||
The Ogale Community in Rivers state was the site of nine boreholes that were used to gather groundwater samples. The main objective was to find out whether the groundwater could be used for farming. The area in question was investigated for 10 physicochemical parameters using atomic absorption spectroscopy and other standard laboratory techniques. These readings were applied mainly to ascertain the usefulness of the water for irrigation. The results were then assessed using criteria established by the International Water Quality Guidelines framework (IWOS) and 2011 World Health Organization standards (WHO). The findings revealed pH level of 4.80 to 5.56 mg/l and an electrical conductivity ranging from 60.40 to 238 μscm-1. Total dissolved solids (TDS) levels ranged from 30.20 to 119 mg/l throughout the study zone, while salinity levels ranged from 0.058 to 25.72 mg/l. The location revealed a diverse array of values.............
Irrigation, SAR, Concentration, Anions, Cations and Groundwater.
[1]. Amajor I. C. (1986). Geochemical Characteristics of Groundwater in Port Harcourt (proceeding of NWASA SYMPOSIUM UNILAG, Lagos pp 359-376).
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HARITHI BEN Daoud Ben Attoumane, PASERA Joanes Keneddy, DONA Victorien Bruno |
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| Influences of Input Parameters on the Energy Performance of the CAES-CPVTA System | ||||||
The use of compressed air, one of the alternatives to batteries as an innovative renewable energy (RE) storage solution, is characterized by remarkable stored energy density (kWh.m-³) and high reliability (days of operation) with no environmental impact. When the sun is shining brightly, the energy produced by the thermal air photovoltaic field is used to power the CAES (Compressed Air Energy Storage). The compressed air stored in the CAES tanks is used to drive a Compressed Air Motor (MAC) during periods of low or no solar irradiation. To get the best electrical and thermal performance from the air-cooled PVT, the compressed air from the CAES helps cool the photovoltaic cells as they heat up............
Solar radiation, Storage, Pressure, Energy, Photovoltaic, Thermal, Compressed air, Engine
[1]. HARITHI BEN D. B. A., Pasera J. K., and DONA V. B. 2024, Energy performance studies of a PVT-AIR system with CAES: influence of input parameters on the compression system, IJARIIE-ISSN(O)-2395-4396, Vol-10 Issue-4, pp. 67 - 74. [2]. Hussein Ibrahim, Mariya Dimitrova, Adrian Ilinca, Jean Perron. 2009. Wind-diesel hybrid system with compressed air storage for electrification of an isolated telecommunication station. European Journal of Electrical Engineering, Volume 12/5-6, pp.701-731. [3]. Hussein Ibrahim, (2010). Etude et conception d'un générateur hybride d'électricité de type éolien-diésel avec élément de stockage d'air comprimé, thesis, Université du Québec à Chicoutimi, Canada, June 2010
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Dr.M.S.S.Sasikumar, Z.Shahanaz, R.Sasirekha, K.Sengottuvelu, P.Senthilkumar, Dr.N.Gokarneshan, Dr.D.Anita Rachel, V.Sathya, J.Lavanya, B.Padma, R.Hari Priya |
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| Application of fuzzy logic for the determination of fabric drape | ||||||
Investigation has been carried out to predict the drape parameters and describe clearly the drape phenomenon using fuzzy logic method. Forecasting features allow manufacturers to save time and improve their productivity. The bending rigidity, (in warp, weft, and skew direction), shear rigidity, and weight of fabric samples were used as the key input variables for the model, whereas drape coefficient, drape distance ratio, folds depth index, and node number were used as output/response variables. The results show that changing the values of fabric parameters significantly affected the fabric drape and a representative correlation values were found between the experimental values and those calculated by the fuzzy system.
Fuzzy-C-mean (FCM), fuzzy logic, fabric drape, drape coefficient, node number, drape distance ratio, folds depth index.
[1]. Basu, A., Chellamani, K. P., Ramesh, P. R. (2002). Fabricengineering by means of an artificial neural network.Journal of the Textile Institute, 93(3), 283-296.
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Ruth OkpokhelenIriah, Utibe Benedict Edem |
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| Design of Continuous Stirred-Tank Reactor for Biogas Production from Cassava Wastewater Using Potassium Hydroxide Catalyst | ||||||
Cassava wastewater from cassava processing activities, if not properly disposed constitutes danger to humans and the environment.A laboratory investigation on anaerobic digestion of cassava wastewater for biogas production in a batch reactor was conducted. The batch experimental results were subjected to Monod kinetic model to determine the kinetic parameters used for the design of continuous stirred–tank reactor. Microbial maximum specific growth rate (μ𝑚𝑎𝑥) of 0.4236 day-1) and half velocity constant (Ks) of 2077.9mg/cm3 were evaluated for a hydraulic retention time of 30days at a mesophilic temperature of 350C. Mathematical models were developed for the design ofcontinuous stirred–tank reactor........
cassava wastewater, biogas, anaerobic digestion, continuous stirred -tank reactor,
[1]. Ababio, O. Y. (2002). New school chemistry for senior secondary schools (3rded.). Ibadan
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MA. Do An Luc, MA. Nguyen Văn Phat, Assoc.Prof. Nguyen Duc Huu |
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| Physical education for university students: A case study of Vietnam Trade Union University | ||||||
Physical education and sports in schools are an important and indispensable aspect of education in the cause of education and training, contributing to the realization of the goal: "Improving people's knowledge, training human resources, fostering talents" for the country, so that every citizen, especially the young generation, has the conditions to "Develop intellectually, strong physically, rich in spirit, pure in morality". The Communist Party of Vietnam's viewpoint also determines: "Building Vietnamese people to develop comprehensively. To improve the cultural and human values of Vietnam, to create an environment and conditions for the development.......
Physical, health, students, sports, university trade union
[1]. Beckett, Keith D. "The effects of two teaching styles on college students' achievement of selected physical education outcomes." Journal of Teaching in Physical Education 10.2 (1991): 153-169.
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R.S.PRAKASH RAJA |
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| An Empirical Study on the Exploitation of Voting Rights in India | ||||||
The exploitation of voting rights in India is a complex issue that has been present for several years. Despite India being the world's largest democracy, a significant proportion of its citizens, particularly those from marginalized and vulnerable communities, are unable to exercise their right to vote freely and fairly due to a range of factors, including political corruption, caste-based discrimination, and electoral violence. The major objective of this research is to find the major reason for the exploitation of voting rights in India and how it can be prevented. It found that most of the people feel their voting right is exploited due to the fraud and it can be prevented by canceling the online voting as well as by giving voting permission when they have proper voter ID.....
......
[1]. Jagdish Kaur(2017), Using public interest litigation for tobacco control: Insights from India, PMID: 28928315, DOI: 10.4103/ijph.IJPH_230_17 [2]. Marco Mello (2000), Voting, contagion and the trade-off between public health and political rights: Quasi-experimental evidence from the Italian 2020 polls, PMID: 35873867, PMCID: PMC9295382, DOI: 10.1016/j.jebo.2022.07.008 [3]. Adam Bonica ET AL(2001), All-mail voting in Colorado increases turnout and reduces turnout inequality, PMID: 36540291, PMCID: PMC9756790, DOI: 10.1016/j.electstud.2021.102363 [4]. Oliver Y Tang et al(2021), Emergency Absentee Voting for Hospitalized Patients and Voting During COVID-19: A 50-State Study, PMID: 35354012, PMCID: PMC8328173, DOI: 10.5811/westjem.2021.4.50884. [5]. Jesse Yoder et al (2021), How did absentee voting affect the 2020 U.S. election? PMID: 34936453, PMCID: PMC8694609, DOI: 10.1126/sciadv.abk1755.
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Chang Wei |
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The Integration of Large Language Models and Multimodal Translation: Mechanisms, Applications, and Challenges |
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Driven by the powerful forces of digitalization and globalization, the field of translation is undergoing
a profound transformation. The multimodal translation technology powered by large language models (LLMs) is
reshaping the landscape of translation practice and theory. This study first delves into the integration mechanisms
of LLMs and multimodal translation, analyzes the technical challenges faced in key aspects such as data fusion
and semantic alignment, and elaborates on the corresponding solutions. Secondly, at the application level, this
study examines the application scenarios and effects of multimodal translation technology through practical cases
in multiple fields, including film, education, and tourism........
Large language models, Multimodal translation, Technological integration, Applications
[1]. Feng Zhiwei & Zhang Dengke, Large Language Models in Artificial Intelligence. Foreign Languages and Literatures, 2024, 40(03):
pp. 1-29.
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Junxiang YANG, Xueping ZHANG, Gazi Mohammad Ismail |
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| Differential Privacy-Preserving Fuzzy-C-Means Cluster- ing Algorithm | ||||||
Aiming to address the privacy leakage problem of the traditional Fuzzy-C-Means (FCM) clustering algorithm, the paper introduces a differential privacy mechanism into the FCM clustering algorithm. It proposes and designs a DP-FCM (Differential Privacy-FCM) clustering algorithm oriented towards differential privacy protection. The algorithm protects individual privacy information by perturbing the data. Simultaneously, to maintain high clustering performance, a balance between privacy protection and data utility is achieved by opti- mizing the selection of perturbation parameters and the allocation of privacy budget........ Privacy Preservation, Differential Privacy, FCM Clustering Algorithm, DP-FCM Clustering Algo-
rithm.
[1] Dwork, Cynthia. "Differential Privacy." International Colloquium on Automata, Languages and Programming (2006). [2] Blum A, Dwork C, McSherry F, et al. Practical privacy: the SuLQ framework. In: Proceedings of the twenty-fourth ACM SIGMOD- SIGACT-SIGART symposium on Principles of database systems, 2005, pp.128–138. [3] Li Y, Hao Z, Wen W, et al. Research on differential privacy preserving k-means clustering. Comput Sci 2013; 40(3): 287–290.
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Jonadab Ahaotu Obum, Elakpa Ada Augustine |
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| Preliminary Analysis of a Lazy Wave Riser Performance: Hydrostatic, Hydrodynamic, Modal, and Corrosion Assessments | ||||||
This paper presents an in-depth analysis of lazy wave risers, focusing on hydrostatic, hydrodynamic, modal, and corrosion behavior using a newly developed MATLAB-based tool, RiSat. The study addresses key challenges faced in offshore riser systems, particularly in high-pressure and high-flow environments, where riser design must account for complex load conditions. Through simulation, the hydrostatic forces, dynamic motion responses, and modal characteristics of the riser were calculated. In addition, corrosion analysis based on velocity and pressure variations was conducted, revealing exponential trends in corrosion rates. A detailed discussion of the results is provided, with comparisons to industry-standard tools such as OrcaFlex. The findings highlight critical insights into riser tension distribution, vibration frequencies, and failure modes, offering essential guidance for riser design in subsea environments.
Marine Risers, Tension, Dynamic, analysis, structural, integrity, Corrosion,
[1]. Audoly, B. and Pomeau, Y. (2010) Elasticity and Geometry: from Hair Curls to the Non-linear Response of Shells. Oxford UniversiyPress, USA.
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Qinyu Jiang, Shiqi Ye, Lingrui Lai, Yangfan Mao |
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A Study on Investment Strategy of Artificial Intelligence Industry Based on PCA |
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Recently, the AI industry has attracted a lot of attention and has good development potential, so we analyze the investment strategy of the A industry sector based on the principal component analysis method. The team's large-market timing mainly analyzes the fundamentals of the stock, and then values the stock according to indicators such as price-earnings ratio and price-to-book ratio to determine the safety of the current market capitalization. Then, select small caps from current hot spots, use active management strategies to select stocks in the AI industry, and use principal component analysis to formulate the optimal risk stock selection portfolio.
AI Active Management Strategy; Principal Component Analysis; Market Timing
[1]. Lin, H. M. and Zhang, F. L. Principal Component Analysis and Factor Analysis Detailed Similarities and Differences and TIPDM
Software[J]. Statistical study, 2005(3): 11-20.
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Xindan Zhang, Liuxin Jiang |
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| A Study on the Coupling of Regional Integration and Common Prosperity in Zhejiang Province | ||||||
The regional integration strategy, as an important policy initiative to address the problem of unbalanced regional development in China, has assumed an increasingly important position in the process of regional economic development. "Since the Eleventh Five-Year Plan, China's strategic policies at the level of regional governance have been continuously refined and perfected, and there has been a rapid increase in the number of development plans and policy texts by the Government to promote the regional integration process. This paper is based on the concept and connotation of integration and common wealth and the system theory, regional development theory, and synergistic development theory........
integration; common wealth; coupled development
[1]Ahluwalia, M. Income Distribution and Development: Some Stylized Facts.The American Economic Review, 1976, 66(2):45-72.
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Eseoghene Kokogho, Richard Okon, Bamidele Michael Omowole, Chikezie Paul-Mikki Ewim, Mary Oyenike Adeyanju |
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| The Role of Advanced Analytics in Enhancing Financial Decision-Making and Investment Strategies in Fintech Firms | ||||||
The integration of advanced analytics in fintech firms has revolutionized financial decision-making and investment strategies, offering significant improvements in accuracy, efficiency, and market adaptability. This study explores the transformative impact of tools such as machine learning algorithms, predictive analytics, and big data analysis on enhancing the strategic capabilities of fintech organizations. Advanced analytics enables firms to process vast volumes of financial data in real-time, uncovering actionable insights that drive informed decision-making and optimize resource allocation. Machine learning algorithms play a pivotal role in identifying patterns, predicting market trends, and modeling risks, thus equipping fintech firms with robust tools for proactive decision-making.......
Advanced Analytics, Financial Decision-Making, Investment Strategies, Machine Learning, Predictive Analytics, Big Data, Fintech, Algorithmic Trading, Risk Management, Market Trends, Competitive Advantage.
[1]. Adefila, A. O., Ajayi, O. O., Toromade, A. S., & Sam-Bulya, N. J. (2024). Empowering Rural Populations through Sociological Approaches: A Community-Driven Framework for Development.
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Princess Eloho Odio, Richard Okon, Mary Oyenike Adeyanju, Chikezie Paul-Mikki Ewim, Obianuju Clement Onwuzulike |
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| Optimizing Revenue Recognition and Financial Performance Using Data Analytics in Digital Payment Platforms | ||||||
Data analytics has become a pivotal tool for optimizing revenue recognition and enhancing financial performance in digital payment platforms and the broader fintech sector. This paper examines how sophisticated data analytics methods are leveraged to streamline revenue recognition practices and improve key financial performance metrics. Revenue recognition, a cornerstone of financial reporting, often presents challenges due to complex transactions and the diversity of revenue streams in digital payment ecosystems. By employing advanced analytics techniques, such as predictive modeling, machine learning, and real-time data processing, digital payment platforms can ensure accurate and timely revenue recognition that aligns with evolving accounting standards........
Data Analytics, Revenue Recognition, Financial Performance, Digital Payment Platforms, Fintech, Predictive Modeling, Machine Learning, IFRS 15, ASC 606, Compliance, Operational Efficiency.
[1]. Adefila, A. O., Ajayi, O. O., Toromade, A. S., & Sam-Bulya, N. J. (2024). Empowering Rural Populations through Sociological Approaches: A Community-Driven Framework for Development.
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Amazing Hope Ekeh, Charles Elachi Apeh, Chinekwu Somtochukwu Odionu, Blessing Austin-Gabriel |
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| Advanced Data Warehousing and Predictive Analytics for Economic Insights: A Holistic Framework for Stock Market Trends and GDP Analysis | ||||||
This paper introduces a comprehensive framework that integrates advanced data warehousing techniques with predictive analytics to analyze stock market trends and Gross Domestic Product (GDP) growth. The proposed framework leverages cutting-edge technologies in dimensional modeling, Online Analytical Processing (OLAP) cubes, and Extract, Transform, Load (ETL) processes to enhance economic forecasting and decision-making. The framework emphasizes the significance of real-time data integration to capture dynamic market behavior and economic fluctuations. It combines historical and live data streams from financial markets, economic indicators, and macroeconomic reports to enable robust scenario analysis and forecasting.......
Data Warehousing, Predictive Analytics, Economic Forecasting, Stock Market Trends, GDP Analysis, Dimensional Modeling, OLAP Cubes, ETL Processes, Real-Time Data Integration, Scenario Analysis, Visualization Tools.
[1]. Adepoju, A. H., Austin-Gabriel, B., Eweje, A., & Collins, A., 2022. Framework for Automating Multi-Team Workflows to Maximize Operational Efficiency and Minimize Redundant Data Handling. IRE Journals, 5(9).
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Chisom Elizabeth Alozie, Joshua Idowu Akerele, Eunice Kamau, Teemu Myllynen |
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| Fault Tolerance in Cloud Environments: Techniques and Best Practices from Site Reliability Engineering | ||||||
Fault tolerance in cloud environments is a crucial aspect of maintaining high availability and reliability, ensuring that services remain operational despite failures. This review explores the techniques and best practices employed in Site Reliability Engineering (SRE) to enhance fault tolerance in cloud environments. In cloud environments, fault tolerance involves designing systems to withstand and recover from failures. SRE practices focus on implementing robust mechanisms to handle faults effectively, minimizing service disruptions. Key techniques include employing redundancy and failover strategies. Redundancy involves deploying multiple instances of critical components, ensuring that if one fails, others can take over seamlessly. Failover strategies, including automated failover and disaster recovery plans.......
Fault Tolerance, Cloud Environments, Site Reliability Engineering, High Availability, Redundancy, Failover Strategies.
[1]. Aung, M. M., & Chang, Y. S. (2020). Food safety and quality management: A review of the latest trends and issues. Food Control, 108, 106818. doi:10.1016/j.foodcont.2019.106818
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Ajayi Abisoye, Joshua Idowu Akerele, Princess Eloho Odio, Anuoluwapo Collins, Gideon Opeyemi Babatunde, Sikirat Damilola Mustapha |
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| Using AI and Machine Learning to Predict and Mitigate Cybersecurity Risks in Critical Infrastructure | ||||||
The increasing reliance on critical infrastructure (CI) systems, such as power grids, transportation networks, and healthcare systems, has heightened their vulnerability to sophisticated cyber threats. Traditional cybersecurity approaches are often insufficient to address the dynamic and complex nature of these threats. This paper explores the potential of Artificial Intelligence (AI) and Machine Learning (ML) to predict and mitigate cybersecurity risks in critical infrastructure. AI and ML techniques are uniquely suited to analyze vast amounts of data in real-time, identify patterns, and detect anomalies indicative of cyberattacks. This study reviews state-of-the-art AI and ML algorithms, including supervised learning, unsupervised learning, and reinforcement learning, to highlight their effectiveness in intrusion detection, vulnerability assessment, and threat prediction.......
Artificial Intelligence (AI), Machine Learning (ML), Cybersecurity, Critical Infrastructure, Threat Prediction, Anomaly Detection, Explainable AI (XAI), Industrial Control Systems (ICS), Real-Time Threat Mitigation, Adversarial Attacks.
[1]. Adebayo, V. I., Paul, P. O., & Eyo-Udo, N. L. (2024). The role of data analysis and reporting in modern procurement: Enhancing decision-making and supplier management. GSC Advanced Research and Reviews, 20(1), 088-097. [5]. Adepoju, A. H., Austin-Gabriel, B., Eweje, A., & Collins, A., 2022. Framework for Automating Multi-Team Workflows to Maximize Operational Efficiency and Minimize Redundant Data Handling. IRE Journals, 5(9).
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Achebe, P. N., Muoghalu, C. N. |
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| Design of Adaptive PD Controller for Microsatellite Yaw-Axis Attitude Control System | ||||||
The significance of effective satellite attitude control system is that it can ensure both quality and reliability of data acquisition by a microsatellite. This paper presents design of Adaptive Proportional and Derivative (APD) controller for microsatellite y-axis attitude control system (ACS).The transfer function models of amplifier, actuator, and satellite structure for microsatellite yaw-axis attitude were obtained. An APD was designed as a Simulink model. Initial computer simulation of the microsatellite yaw-axis attitude control system was carried out without any controller. The response dynamic characteristic to unit step input indicated a rise time of 1.89s, settling time of 3.49 s, and 0% peak overshoot.......
Adaptive PD, Attitude Control System, Controller, Microsatellite, Yaw-axis
[1]. Eze, P. C., Jonathan, A. E., Agwah, B. C., and Okoronkwo, E. A. (2020). Improving the performance response of mobile satellite
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Gheorghe NEAMȚU, Marinela INȚĂ |
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| Famous German Automobile Brands. Their Narratives, History and Logos | ||||||
This scientific paper presents the authors own views on four German car brands, BMW, Mercedes, Volkswagen and Ford. The work takes the form of a literature review narrative and is intended to help those interested to find out important facts about the founding and development over time of the cars presented, as well as about the history, narratives and logos of the four automobile manufacturers. At the end of the work, specific conclusions are presented, as well as aspects unknown to the readers about the car brands presented and analyzed in this scientific paper.
Automobile, brand, history, narrative, evolution, logo
[1] G. Neamțu, Doctoral thesis, N. U. o. S. a. T. -. P. Bucharest, Ed., Bucharest: National University of Science and Technology - Politehnica Bucharest, 2023, p. 500.
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