VOLUME 10, ISSUE 11, NOVEMBER 2023

Abstract: This research explores the perceived benefits of integrating Artificial Intelligence Technologies within Management Information Systems (MIS) for enhancing decision-making processes in the context of County Governments in Kenya. With the growing complexity of organizational operations and the abundance of data generated, AI integration has emerged as a potential avenue to transform traditional decision-making paradigms. This study investigated the specific advantages that County Governments in Kenya attribute to AI integration within MIS, shedding light on how these technologies contribute to informed and effective decision-making. Through a comprehensive analysis of perceptions and experiences, this research aimed to provide insights that contribute to a deeper understanding of the value proposition offered by AI technologies in the Public service landscape

Keywords: Artificial Intelligence, Management Information Systems, Integration, County Governments

Abstract: The pharmaceutical manufacturing sector is going through a significant shift as it adopts sophisticated analytics and predictive maintenance as drivers of efficiency and innovation. This research investigates how regulatory changes, technical developments, and sustainability requirements are converging to shape the future of pharmaceutical production. Manufacturers are empowered by predictive maintenance, a transition from reactive to proactive methods, to reduce downtime, maximize resources, and uphold regulatory compliance. Regulatory organizations are becoming more helpful, offering precise rules for smooth implementation. With Industry 4.0 technologies providing real-time insights for operational efficiency and quality control, data-driven excellence emerges as a persistent quest. Digital twins revolutionize simulation and monitoring, reducing physical testing and hastening product development. Collaborations with IT companies have hastened the uptake of innovations. Comprehending futuristic breakdown and anticipating the health line of manufacturing, a model called PharMTrans has been built in this study, employing a bi-linear outcome technique with four analysis phases. A data-rich, proactive, and sustainable approach will guide pharmaceutical manufacturing in the future. The industry is well-positioned to design a future where efficiency, quality, and sustainability intersect, ensuring pharmaceutical production remains a foundation of global health and well-being. This is accomplished through sophisticated analytics and predictive maintenance.

Keywords: Pharmaceutical Manufacturing, Data-driven, Advanced Analytics, Machine Learning, PharMTrans.

Abstract: An accurate closed form solution was developed to evaluate the free vibration behaviour of thin and moderately thick isotropic rectangular plates with simply supported boundary condition for all the edges. A novel methodology known as coupled displacement field (CDF) method, proposed by the author was used to study the free vibration of the rectangular plate. Here an admissible trial function which satisfies the boundary conditions was assumed for one of the variables (say total rotations) and another variable which is the lateral displacement field is derived in terms of the initial variable by using the coupling equations, where the two independent variables become dependent on one another. The proposed CDF method makes use of the energy formulation and results in only half the number of undetermined coefficients when compared with the conventional Rayleigh-Ritz method. The vibration problem gets simplified significantly due to the reduction in the number of undetermined coefficients. The plate problem was also solved in Rayleigh-Ritz method to show the efficacy and simplicity of the CDF method. The Primary focus was given to the effect of aspect ratio and slenderness ratio on the non-dimensional frequency parameter at higher modes. The numerical results obtained by the present methodology are validated with Rayleigh-Ritz method and results available in the existing literature where ever possible. The analysis of the plate problem is based on Mindlin plate theory and the effect of shear deformation, as well as rotary inertia, were included.

Keywords: coupled displacement field, coupling equation, large amplitude vibrations, moderately thick plates.

Abstract: Returns to education have gathered huge literature .We have to look at the different conceptual and empirical issues surrounding the various ways to measure the rate of return to education. Rate of return is a guiding factor in decision making by individuals as expenditure on education is treated as an expenditure.

Keywords: Returns, education , human capital , investment, earnings.

Abstract: The majority of the time, immunoassays are antigen-antibody analytical techniques utilized for quantitative or qualitative analysis. They are most frequently employed for quality control, drug monitoring in pharmacokinetic research, and diagnostic applications. The most widely used immunoassay is the ELISA, which uses an enzyme to identify blood antibodies. As ELISA tests produce quantitative data, they are more accurate than other antibody-assays. This review article discusses ELISA's types, limitations, applications, and guiding concepts. Works Cited: Atharv M. Bajare, Yash S. Bandal, Mrudula R. Gole, Shradha A. Kadam, Abhishek R. Auti, Anjum N. Hasnain " REVIEW ARTICLE ELISA: THE IMMUNOLOGICAL DIGNOSTIC TOOL ", IARJSET International Advanced Research Journal in Science, Engineering and Technology, vol. 10, no. 11, pp. 29-36, 2023. Crossref https://doi.org/10.17148/IARJSET.2023.101105

Abstract: This study explores machine learning gradient-based optimization algorithms, highlighting the critical importance of gradient descent and investigating adaptive strategies to improve its performance. The fundamental technique of optimization is gradient descent, although balancing convergence speed and accuracy can be difficult due to gradient descent's reliance on fixed learning rates. The study explores a variety of adaptive learning techniques, including as drop, decay, cyclic learning, and adaptive learning. These techniques are designed to modify learning rates in real-time during optimization, hence affecting stability and convergence. Additionally, the research delves into momentum-based methods like Adam, RMSProp, AdaGrad, and AdaDelta, clarifying their use in reducing the difficulties associated with traditional gradient descent. The study also clarifies gradient clipping methods, addressing the problem of expanding gradients and offering solutions to stabilize and enhance machine learning models. The goal of this thorough investigation is to provide practitioners with a sophisticated grasp of optimization techniques so they may guide machine learning models toward effectiveness, precision, and robustness in a variety of application domains.

Keywords: Gradient Descent, Optimizations, Learning Rate, Adam, Neural Networks

Abstract: Thrombocytosis is a clinical condition that is frequently seen, with a high percentage of instances being found by chance. The diagnosis of thrombocytosis might be difficult due to the wide range of possible diagnoses. Thrombocytosis may be fake, the result of a reaction, or the result of a clonal problem. This distinction is significant because it has effects on assessment, prognosis, and treatment. The myeloproliferative neoplasms, particularly essential thrombocythemia and polycythemia vera, are linked with clonal thrombocytosis, which has a distinct prognosis profile and a significantly elevated risk of thrombosis. The motivation behind these illnesses' treatment plans is this risk. New therapeutic targets are awaiting investigation in clinical studies using targeted treatments for thrombocytosis.[1]

Keywords: thrombocythemia, polycythemia, Thrombosis

Abstract: The study titled "Evaluation of the Impacts of Naira Redesign on the Economy of Kebbi State, Nigeria" is carried out to investigate the effect of the redesign of the Nigerian currency on the socio-economic development of the inhabitants of Kebbi State. The study uses questionnaires to collect data from 200 respondents in Kebbi State Metropolis targeting marketers, road transport operators and private business owners. The primary objective of the research is to assess the impact of Naira redesign on the socio-economic development in Kebbi State. The study is aimed at finding out how Naira redesign policy impacts on the socio-economic development of Kebbi State and to ascertain public perception of the Naira redesign policy and its resulting effect on the economic activities of the respondents. Far from expectation, result from the study indicate that the naira redesign policy impacts negatively on the inflation rate, dampen the confidence of both the citizens and investors. The study however revealed that implementation of the policy shows the potential of entrenching cashless economy and creating an efficient monetary policies in the country. The findings of this study is of outmost importance to policymakers, researchers, and other stakeholders interested in promoting economic and social development in Nigeria. Works Cited: Salihu Shamsudeen Kamba, Abubakar Bello " EVALUATION OF THE IMPACTS OF NAIRA REDESIGN ON THE ECONOMY OF KEBBI STATE, NIGERIA ", IARJSET International Advanced Research Journal in Science, Engineering and Technology, vol. 10, no. 11, pp. 49-58, 2023. Crossref https://doi.org/10.17148/IARJSET.2023.101108

Abstract: Individuals with impaired mobility may encounter physical limitations or even insurmountable obstacles in their daily lives. Manual or powered wheelchairs can facilitate their mobility and enhance their quality of life. However, it can be challenging for wheelchair users to navigate unfamiliar environments. Caregivers and/or care- giving devices are essential for the elderly and disabled. However, caregivers face a significant physical and temporal burden, and those receiving assistance may feel constrained in the caregiver's presence. To alleviate these burdens, autonomous care-giving devices that do not require human intervention are needed. Voice signals are the primary modality of human communication, used in all conversations and interactions. This paper presents the design of a voice-controlled automated wheelchair, which is a novel approach to provide mobility for physically disabled individuals. The design incorporates a voice recognition system that enables users to control the wheelchair including development for targeting users with hand movement impairments due to aging or paralysis by voice commands. It also discusses the application of Machine Learning Algorithms including Random Forest Algorithm and K-Nearest Neighbor algorithm to improve the accuracy and reliability of the voice recognition system. Assisting individuals with physical disabilities in detecting obstacles in their path and ensuring safe navigation to users. The software also includes health monitoring capabilities, which provide healthy suggestions and notify the user's physician or caretaker of their heartbeat, temperature, ECG, SpO2, and blood pressure.

Keywords: Voice Processing, Motor control, Obstacle detection, Machine Learning.

Abstract: The project's goal is to use machine learning models to predict fraudulent credit card transactions. From both the bank's and the customers' perspectives, this is essential. The banks are unable to bear the loss of consumer funds to dishonest individuals. Since the bank is in charge of the fraudulent transactions, every fraud results in a loss for the bank. This document can be used as a template to type your own text into or as a set of instructions. When developing the model, we must address the imbalance in the data and test different algorithms until we find the optimal model. When developing the model, we must address the imbalance in the data and test different algorithms until we find the optimal model. Examining the valuable transaction and comparing it to a fresh, current transaction will reveal whether not the transaction is fraudulent. The purpose of this paper is to provide a comprehensive review of various techniques for detecting fraud. We suggested a system that uses a decision tree, random forest, and logistic regression to identify fraud in the processing of credit card transactions. After then, we use XGBoost to fit the dataset and categorize the transactions as either fraudulent or not. Because we were working with a heavily skewed dataset, we used the F1 and ROC AUC scores to evaluate our model's performance.

Keywords: Fraud Detection Techniques, Logistic Regression, Random Forest, Decision Tree, XGBoost Classifier.

Abstract: The most important factor of the Internet of Things is the integration of several technologies and communication solutions. Identification and tracking technologies, wired and wireless sensors and active networks, protocols for increasing communication and intelligence of objects are the most important parts of the Internet of Things. In this article, since the sensors of the Internet of Things network have limited energy and when the energy of the sensors is exhausted, the lifetime of the network ends, energy optimization has been investigated. With the sleep/wake mechanism, it was checked to increase the lifetime of the network. In the proposed method, communication was established in the network using clustering. According to the clustering done, the sleep timing of the objects in each cluster is applied based on the presence of a threshold limit. In comparing the previous results with the obtained results, it was found that the proposed plan has worked optimally.

Keywords: energy optimization, smart grid, Internet of Things, clustering

Abstract: The primary aim of the research is to compare the morphological Characteristics and Extraversion between male and female state level Handball players. Total 50 male and 50 female handball players were selected as a subject for the present study. Their age ranged from 21 to 28 years. Data was collected individually through a Eysenck personality inventory from male handball and 50 female handball Players. To analyze the data mean scores, standard deviation and t-ratio were used to comprise morphological Characteristics and Extraversion between male and female handball Players. reveals that the significance difference was found out in (t= P< 0.5) Male and female Handball players, Male Handball players having more extrovert as compared to female Handball players.

Keywords: Handball, Extraversion Male, Female

Abstract: Nitrogen and sulphur compounds and their derivatives have been used as medicinal applications and medicines e.g. sulpha drugs and azides. Several applications of sulphur - nitrogen compounds and their derivatives encourage researchers to increase their synthesis as an alternative for the treatment of pathogenic microbe infections. Tri-thiazyltrichloride is a cyclic compound of Tetra sulphur Tetra nitride. Compounds of copper sulphate and ferrous sulphate with Tri-thiazyltrichloride synthesized. The synthesized novel compounds of ferrous sulphate and copper sulphate screen against the gram -Ve bacteria E. Coli. and S. Typhimurium as well as gram +Ve S.Auren and S. Abbus and fungi Aspergillus, Penicillium.

Keywords: Synthesis, Trithiothiazyltrichloride, Copper Sulphate, Ferrous Sulphate and Anti-microbial Screening.

Abstract: A digital Visitor Management System(VMS) goes beyond convenience, becoming a strategic necessity for organizations aiming to bolster security, efficiency, and compliance in the digital era. In the age of digital transformation, a robust VMS is crucial for fortifying organizational resilience and ensuring a secure, streamlined environment for stakeholders. IndoAI's Visito, a Visitor Management App, combines Facial Recognition and Aadhar verification for secure entry. With OTP verification, accurate cross-referencing, and a Pass printout, it ensures enhanced security, efficiency, and compliance. The Analytics Dashboard provides administrators with key insights for informed decision-making and optimization. Further, integrating QR code-based VMS with AI Camera and Zero Trust into Aadhar verification ensures continuous scrutiny, minimizing unauthorized access risks and enhancing user experience

Keywords: Access Control, Identity Management, Visitor Management, IndoAI, Facial Recognition Technology, Aadhar

Abstract: The fintech industry has grown rapidly giving a new shape to the global financial landscape. This study explores the transforming role of fintech as a driver of decentralization and deglobalization in the financial sector. Traditional financial institutions have to face many challenges. The fintech industry has created decentralized financial services and reduced the dependency on global intermediaries. Decentralization and Deglobalization have had a significant impact on the finance sector. This paper sheds light on the important ways in which fintech development is defining the future of fintech or making an important contribution to decentralization and deglobalization. Fintech has the potential to disrupt traditional finance systems promote decentralization and contribute to globalization by reducing the reliance on centralized intermediaries. and the study is based on a descriptive research design. The main aim of this study is to explore the role of fintech in decentralization and deglobalization.

Keywords: Fintech, Decentralization, Deglobalization, Centralization, Blockchain technology, Peer to Peer Network

Abstract: Pearl millet (Pennisetum glaucum), a drought-tolerant cereal crop, has gained attention for its nutritional value and health benefits. The aim was to enhance the nutritional content of pearl millet while creating a convenient and palatable snack. The process involved the preparation of pearl millet dough, followed by baking and subsequent drying to achieve the desired crisp texture. The formulated pearl millet muffin was analysed for its physical, chemical, and sensory attributes. These included parameters such as moisture content, Ash, Protein, Fat, Iron, Colour, nutritional composition, and overall acceptability. Results revealed that the iron content increased with increasing addition of millet. Nutritional evaluation demonstrated that the muffin retained significant levels of moisture and dietary essential minerals present in pearl millet.

Keywords: Pearl millet, health benefits, convenient snack, dietary essential minerals

Abstract: Powertrain is an essential system in a vehicle as it involves every component responsible for the vehicle's movement. The powertrain of a Go-Kart and All-Terrain Vehicle (BAJA SAE) are unique but have some similarities, i.e., Power for both vehicles is produced using an Internal Combustion Engine (the motor is used for an Electric vehicle), and the end motive is to move the vehicle, but the difference between them lies in between the transfer of the power to the final position (Wheels). This paper is based on the experience from the competitions Indian Karting Race and BAJA SAE.

Keywords: Engine, Transmission, Chain Drive, Belt Drive, Shaft Drive, Go-Karts & ATVs

Abstract: This present study was performed to study the physical, nutritional and sensory characteristics of cookies using mashed banana as fat replacer in the shortbread cookies. Mashed banana was used to substitute the butter in cookies to reduce the fat content and increase its nutritive profile. The aim of this study is to determine the effects of mashed banana on physical properties, proximate composition and sensory characteristics when it is replaced by the butter as fat source. The Variations are formulated by 25%, 50% replacing the butter with mashed banana. The results that are obtained from the sensory analysis shows that 25% have better acceptability of 4.04% over the 50% substitution of butter with mashed banana which had 3.4% of overall acceptability replacement of butter. The incorporation of the mashed banana also has an effect on the moisture content and ash content of the shortbread cookies. Overall fat percentage has also been decreased with the replacement of the butter with mashed bananas.

Keywords: Shortbread cookies, Butter, Fat replacer, Mashed banana.

Abstract: Large volumes of wastewater with a high organic content that are pigmented and acidic are produced by distilleries. Melanoidin, a class of high molecular weight organic molecules, is primarily responsible for the dark brown color of wastewater from distilleries. The release of wastewater into the environment carries a high risk of pollution It also lessens sunlight penetration in rivers and lakes, which in turn lowers photosynthetic activity and dissolved oxygen concentration. It follows that one of the most important environmental challenges is how to dispose of this liquid waste. Traditional methods of treating distillery wastewater - chemical, physical, and biological treatment have the drawbacks of being expensive, requiring a lot of energy and producing secondary pollution in the process. The highly reactive hydroxyl radicals produced by light-enhanced oxidation processes oxidize organic materials in solution and transform it entirely into harmless products like CO2 and inorganic molecules. This study reviewed the use of TiO2 as a photocatalyst in the photocatalytic degradation in aqueous solution under UV and solar light. Degradation is shown to be dependent on a number of factors, including pH, catalyst concentration, substrate concentration, and oxidants presence. Additional factors influencing the degradation are reaction temperature and light intensity

Keywords: Distillery effluent, Melanoidin, Pollution, Advance Oxidation Process, Wastewater treatment

Abstract: Transparent concrete, often referred to as translucent concrete or light transmission concrete, is a novel form of concrete that was created in the contemporary period and has the unique ability of transmitting light because it contains glass rods or optical fibers. With unique qualities including low density and thermal conductivity, it is lighter than traditional concrete and has the primary benefits of less dead weight, quicker building rates during construction, and less haulage and handling costs. Light is transferred from one surface of the brick wall to the other thanks to glass rods along the total width of the wall which allows light to pass through. An optical glass fiber, often known as an optical fiber, is a transparent, flexible fiber that is slightly thicker than human hair and is composed of glass (silica) or plastic. It may be used as a "light pipe" or waveguide to transfer light between its two ends. The primary goal of the project is to create translucent concrete blocks by utilizing glass rods and optical fibers with cement and sand, and then comparing their different engineering and physical characteristics to those of conventional concrete blocks. This will be accomplished by adding glass rods and optical fibers at intervals of one centimeter, or 1.3%, 1.6%, 1.9%, and 1.7% of the weight of the concrete mix, respectively. This project's primary goal is to investigate the compressive strength and density values of concrete cubes measuring 100 mm by 100 mm by 100 mm, for varying fiber percentages ranging from 0% to 1.9%.

Keywords: Transmitting Concrete, Compressive Strength, Density Of Concrete, Optical Fibers

Abstract: Lace cookies also known as Florentine cookies, are very thin, flat, crispy with brittle texture and has a see-through appearance. Traditionally, they are prepared using almond or oats flour. The present study was done to develop lace cookie using pearl millet flour. Pearl millet is a gluten-free cereal grain, rich in protein, iron with multiple health benefits. The millet cookie dough was prepared using pearl millet flour, butter, brown sugar, honey, milk, vanilla essence and Cocoa powder. Addition of Cocoa powder was done to enhance the colour and flavour. Prepared cookies were evaluated for proximate composition (moisture content, ash content, fat, iron) sensory and physical characteristics (weight, diameter, thickness and spread ratio).

Keywords: Pearl millet flour, lace cookie, sensory characteristics, physical characteristics

Abstract: The economic downturn that befell Japan in the 1990s, commonly known as the "lost decade," resulted from a confluence of factors. The Plaza Accord of 1985, aimed at depreciating the US Dollar against the Yen, inadvertently triggered a substantial Yen appreciation, coupled with expansionary monetary policies, leading to an unsustainable asset price bubble. The burst of this bubble in the 1990s marked the onset of a balance sheet recession, where private sector deleveraging and a contracting workforce hindered traditional monetary policies' effectiveness. Additionally, a slowdown in total factor productivity (TFP) growth, stemming from a lack of innovation and inefficiencies in resource allocation, contributed to the prolonged economic downturn. High savings rates coupled with demographic challenges and implementation of the Basel 1 Accord in 1992 exacerbated the situation by constraining economic activity. This paper delves deeper into the reasons for the advent of the "lost decade" in Japan.

Keywords: Japan, balance-sheet recession, total factor productivity, TFP, yen appreciation, lost decade, economic downturn of Japan, fall of Japan's economy Work Cited: Shreya Gupta "Evaluation of the Causes of Fall of the Economy of Japan", IARJSET International Advanced Research Journal in Science, Engineering and Technology, vol. 10, no. 11, pp. 137-142, 2023. Crossref https://doi.org/10.17148/IARJSET.2023.101122.

Abstract: The rapid increase in urbanization and environmental concerns has led to a growing demand for sustainable transportation solutions. Electric vehicles (EVs) have emerged as a promising alternative, with their zero-emission nature and efficient energy utilization. This project aims to design and develop an electric bike (MINI R) with the futuristic features to address the challenges of urban mobility while promoting eco-friendly transportation. The E-Bike project involves the integration of advanced technologies like ultrasonic mapping and it also includes electric propulsion systems, lightweight materials, and internet of things (IOT)features. The primary objective is to create a compact, energy-efficient, affordable EBike and add more features in the bike other than bikes present in the market that offers convenience and comfort to the user. The research focuses on optimizing the E-Bike performance in terms of range, speed, and charging time, while ensuring safety and reliability. The project follows a systematic approach, beginning with a comprehensive review of existing electric bikes designs and related technologies. This analysis serves as the basis for selecting the most suitable components and subsystems for the E-Bike. Prototyping phase is also conducted to evaluate the design's functionality, durability, and user experience. Furthermore, about the technology, human-computer interaction plays a significant role in the E-Bike design. The project explores the development of a user-friendly interface that provides real-time information about battery status, speed, distance travelled, and navigation assistance. And one more feature is about the automatic head light intensity. This integration enhances the overall user experience and encourages the adoption of E-Bikes among diverse user groups. The successful implementation of the EVB project will contribute to a cleaner and greener urban transport ecosystem, reducing dependence on fossil fuels and minimizing air pollution.

Keywords: Electric bike, ultrasonic mapping, sustainable transportation, urban mobility, electric propulsion, lightweight materials, intelligent control, energy efficiency, user experience, human-computer interaction.

Abstract: As everyone looks to the future, more attractive, stronger, and energy-efficient construction materials are needed. Engineers are experimenting with various building materials all around the world. Transparent concrete is shown in this project as a smart building material with improved strength, a pleasing look, and the ability to transmit light. Energy conservation and safety assessment are the two most crucial concerns for infrastructure or structures. In this instance, the concrete specimen is created by mixing various amounts of optical plastic fibres with regular concrete and embedding them. Different tests, including as compressive strength, split tensile strength, and light intensity flowing through it, were performed on the specimens. The investigations' findings demonstrate that an optical In comparison to normal concrete, the specimen with a high concentration of optical plastic fibre demonstrated a greater compressive strength test result. It unequivocally shows that the concrete's ability to transmit light is unaffected by the light passing through it.

Keywords: Split Strength Test, Compressive Strength, Transparent Concrete, Optical Plastic Fibres

Abstract: The essence of education economics was that investment in education was undertaken for future gains. Higher education system is said to have many externalities. Higher education can be an important factor for influencing both job entry and later salaries. Methods of cost recovering in education can be regressive in nature.

Keywords: Education, Equity, Efficiency, Cost recovery, Public good.

Abstract: AGVs are todays key technology to facilitate flexible manufacturing systems in the context of Industry 4.0. The Unmanned transportation is the key driver to bring automation at many places including Industries and at Ports. In this paper we focus majorly how AGVs can achieve I4.0 and smart manufacturing.

Keywords: ATMEGA 328, Software, AGVs, Automation, I4.0, IIoT.

Abstract: Moringa oleifera is widely known as the drumstick tree, or horseradish tree, or miracle tree, is a versatile plant highly recognized for its several commercial applications. This abstract explores the extensive uses of Moringa oleifera across various sectors, including nutrition, medicine, industry, agriculture, cosmetics, and environmental management, highlighting its significance in sustainable development and socio-economic improvement.

Keywords: Medicinal plant, Nutritional benefit, Moringa oleifera, Ayurveda.