bluuebunny/crossref_metadata_2025 huggingface dataset:
An Intelligent Traffic Signalling System based on Integration of an Arduino and Infrared Sensor
Authors:   Department of Computer Science and Engineering Kalasalingam Academy of Research and Education  Virudhunagar, India
Published: June 2024

Currently, traffic lights operate according to a predetermined timetable, which might cause issues if certain lanes are empty while others are congested. To fix this, we came up with a smart traffic system. Our method proposes leaving the green light on longer than usual when there are a lot of automobiles on one side of the road. To determine this, we employ specialized sensors known as PIR sensors. A tiny computer called an Arduino control how many cars are allowed to pass and how long the green signal lasts. The Arduino determines when to change the lights by using sensors along the road to determine whether there are any cars nearby. In the parts that follow, we will go over every detail of how this system operates. Our project's primary objective is to create a traffic system that can automatically adjust the lights at an intersection according to the number of cars there. We believe that it is time to replace the outdated light timing system with a new autonomous system, as traffic congestion is a major issue in cities worldwide. Keywords— traffic lights, lanes, jam-packed, PIR, Arduino.
LIMITATIONS OF PAPER HOUSING
Authors:   Faculty of Architecture, Institute of Architecture Sage University Indore, Student of Masters in Architecture,  School of Architecture IPS Academy Indore, Shawel Prof. (Ar.)  Riya Richard
Published: June 2024

Natural disaster not only causes loss of life but also causes loss of property. It is observed that there is increase in number of natural disasters over the past years. Post disaster scenario shows there is increase in number of homeless people. After a disaster occurs its role of an architect to provide accommodation to people where people can live with dignity, security and comfort, a space where people can work, rest and sleep. Paper housing are designed to meet the local circumstances. These temporary housing is aid to people who lost there home in disaster until they shift to their permanent accommodation. Through this literature review and analysis of case studies, these research discusses the materials and its properties, rapid construction techniques and technology used in paper housing. It also explores permanent paper housing example. This research paper aims to do study of limitations of paper housing. Keywords: Disaster, Temporary housing, Paper housing, Post disaster, Rapid construction
BLDC Motor Speed Control with PID Controller in Electric Vehicles
Authors:   Jain (Deemed-to-be) University,  Bangalore, India, V N Dr Trupti
Published: June 2024

This paper demonstrates that BLDC motors are the best motors for various electric vehicle control strategies. Synchronous motors are the group that includes BLDC motors. Future transportation is interested in electric vehicles because of their zero emissions, sustainability, efficiency, and variety of control methods. These motors are the best option for many applications; however, the majority of them need sensor-less control. Rotor-position sensing is necessary for BLDC motors operating in order to regulate the winding currents. A BLDC motor drive's speed can be controlled via sensor-less control, digital signal controllers, digital signal processors, fuzzy logic PI controllers, PID controllers, adaptive neuro-fuzzy controllers, genetic algorithm controllers, and other methods. The overarching goal of this research is to provide a simulation of the PID controller approach for BLDC motors in electric vehicles. Keywords: BLDC Motor, sensor, controller, sustainability
High Performance CNN Accelerators based on Hardware and Algorithm Co-Optimization
Authors:   Siddhartha Institute of Technology & Sciences, Narapally, Ghatkesar, Medchal-Malkajgiri, Telangana, India, Kanchana Kothapally
Published: June 2024

The efficacy of convolutional neural networks (CNNs) has led to their extensive application in picture recognition and categorization. Nevertheless, embedded systems face challenges when it comes to storing the massive volumes of weight data required by CNNs in their on-chip memory. Pruning a convolutional neural network (CNN) model can reduce its size with no impact on accuracy; however, when used with a parallel architecture, the resulting model will be slower to execute. A CNN compression method that is hardware-centric is introduced in this paper. A model of a deep neural network (DNN) will include "pruning layers (P-layers)" and "no-pruning layers (NP-layers)" attached to it. For effective and parallel processing, an NP-layer employs a regular distribution for its weights. Pruning causes a P-layer to have an irregular form, yet the high compression ratio it yields makes the shape undesirable. Using uniform and gradual quantization methods, we can achieve a processing efficiency/compression ratio trade-off with a small loss of precision. Integrating multiple parallel finite impulse response (FIR) filters into an NP-layer distributed convolutional architecture, we further improve the regular model. The P-layer irregular sparse model is suggested to use an ADF-based processing element. The suggested compression strategy and hardware architecture can be utilised by a hardware/algorithm co-optimization (HACO) method to run an NP→P hybrid compressed CNN model on FPGAs. The VGG-16 network achieves a compression ratio of 27.5× with a top-5 accuracy loss of 0.44% by using a hardware accelerator on a single FPGA chip without off-chip memory. A result of 83.0 FPS, or 1.8 times quicker, was achieved when the compressed VGG-16 model was implemented on a Xilinx VCU118 evaluation board for image applications. Index Terms - CNN, Accelerators, Co-Optimization.
Hand Gesture Controlled Robot for Smart Agriculture Monitoring System
Authors:   Department of ECE Siddhartha Institute of Technology & Sciences,, Swathi Morthala
Published: June 2024

Harvesting presents a significant obstacle in the agricultural sector. Workers face hazards and hardships as they visit each plant to harvest fruits. Combining robotic systems with modern technology is becoming more common in order to automate or semi-automate labor-intensive tasks, including grape harvesting. To improve output per worker hour, we provide a semi-automatic system to help in fruit harvesting. The user can remotely control a robotic arm attached to a rover as it roams the orchard using a hand glove equipped with multiple sensors. The robotic arm may be remotely positioned to gather the fruits thanks to these sensors. The design of a four-degree-of-freedom robotic arm, a wireless control interface, and a sensor-equipped hand glove are all covered in this study. This project also includes the system setup as well as the testing and assessment that was conducted in a controlled laboratory environment. Keywords— Hand Gesture Robot, Agriculture Monitoring, Controlled Robot.
IoT based Breaking Control System for EV Vehicle and Monitoring System
Authors:   Department of ECE Siddhartha Institute of Technology & Sciences,, Preethi Pathala
Published: June 2024

It is imperative that we transition to the use of electric vehicles because these vehicles are the next generation of transportation. Overcharging or over discharging can damage the batteries in electric vehicles, therefore it's important for them to correctly assess the charge status to keep them working for longer and protect the components they power. In this article, we offer an inexpensive, IoT-based system for electric vehicle battery management and monitoring. A user-friendly application that leverages the power of the Internet of Things is at the heart of its design. Important information about the battery's status, such as its capacity and the current entering and leaving it, is provided by the system. You might be able to observe these changes unfold in real time. This system is built using the Blynk Internet of Things platform, the Blynk mobile app, and an ESP32 microcontroller. Keywords— EV Vehicle, Breaking Control System, Monitoring System.
EXPERIMENTAL INVESTIGATION OF MECHANICAL PROPERTIES OF FLY ASH BASED GEO-POLYMER CONCRETE USED AS PAVER BLOCKS
Authors:   PG Scholar, Department of Civil Engineering, OIST Bhopal, India, S Lalhmangaihkima
Published: June 2024

The main objective of the present study is to find out a suitable, effective and alternative material for partial replacement of cement and fine aggregate, to find out possible utilization of waste materials in construction industry that in turn considerably minimize the usage of cement and coarse aggregate and ultimately reduce construction cost, to explore possibilities of improving mechanical properties of concrete using copper slag & pond ash instead of fine aggregate partially, to evaluate the effect of using fly ash and GGBS in concrete and to investigate the strength of replaced concrete with that of conventional concrete. This project is mainly undertaken to study the behavior and performance of concrete using waste materials such as fly ash and GGBS. This type of use of a waste material can solve problems of lack of aggregate in various construction sites and reduce environmental problems related to sand mining and waste disposal. The use of fly ash and GGBS can also reduce the cost of the concrete production and increase the workability. Keywords Cement Concrete, flexural strength, fly ash and GGBS, Strength parameters, water absorption, Workability.
AES 128 Bit Optimization: High-Speed and Area-Efficient through Loop Unrolling
Authors:   Department of Electronics and Communication Engineering, Netaji Subhas University of Technology (NSUT) Azad Hind Fauj Marg, Sector-3,, Yadav, Sandarbh
Published: June 2024

This study introduces a high-throughput FPGA implementation of AES-128, prioritizing efficiency for robust security and fast data processing needs. AES-128 is renowned for its security and widespread use in various applications. Employing techniques like loop unrolling and pipelining, the implementation maximizes throughput and customizes AES for FPGA architectures. A novel optimization approach, "new-affine-transformation," reduces resource demands and latency for the Sub-Bytes function. The AES architecture is strategically modified for efficiency, with rearranged functions and streamlined processing. The implementation, in VHDL and utilizing Xilinx Virtex-5 FPGA, achieves remarkable performance: 37.9 Gbps (encryption) and 38.5 Gbps (decryption) throughput at frequencies of 296.789 MHz (encryption) and 300.806 MHz (decryption). Resource utilization is efficient, with 264 (encryption) and 260 (decryption) slice registers and 1044 (encryption) and 1581 (decryption) total slices. Keywords: AES, FPGA, cryptography, encryption, decryption, throughput, plain text, cipher text
Blockchain Revolution in Asset Management: A Comprehensive Analysis and Implementation Framework
Authors:   Department of Computer Science & Engineering, Axis Institute of Technology & Management, AWASTHI VIMAL
Published: June 2024

A project that presents the harnesses blockchain technology to develop a Token Asset Management System (TAMS) aimed at revolutionizing conventional asset management practices. TAMS leverages the decentralized and transparent nature of blockchain to create digital tokens representing ownership or rights to various assets. These tokens enable fractional ownership, streamlined trading, and automated execution of smart contracts for dividends and voting. The project's primary objectives are to enhance efficiency, security, and transparency in asset management. By digitizing assets and recording transactions on an immutable ledger, TAMS reduces the need for intermediaries, minimizes administrative costs, and ensures auditability. Smart contracts automate key processes, improving accuracy and trust among participants. The project's implementation involves selecting an appropriate blockchain platform, designing token standards, creating an intuitive user interface, and adhering to regulatory requirements. The potential challenges of scalability and legal compliance are also considered. In summary, the Token Asset Management project exemplifies blockchain's potential to transform asset management. Through tokenization and blockchain's features, TAMS aims to establish a modernized ecosystem that offers efficient, secure, and transparent asset management solutions.
Prediction of creditworthiness of borrowers for Mortgage Lending using Random Forest Algorithm
Authors:   RV College of Engineering Bengaluru, India, Rahman Ishan
Published: June 2024

The assessment of creditworthiness is a critical task in mortgage lending which directly influences the risk management strategies of financial institutions. The paper presents the development and implementation of a credit scoring model tailored for mortgage lending, using the Random Forest algorithm. Utilizing a comprehensive dataset comprising borrower information, credit history, and financial indicators, the model predicts the likelihood of mortgage default or delinquency. The Random Forest classifier is chosen after comparing its performance with several other machine learning models, including Logistic Regression, Decision Tree, K-Nearest Neighbors, Naïve Bayes, and Support Vector Machine. The chosen model demonstrated an accuracy of 85.22 %, indicating robust performance in distinguishing between credit-worthy and non-credit-worthy applicants. This model aids in risk assessment by minimizing false positives and negatives, thereby optimizing the mortgage lending process. Furthermore, the model’s deployment through a Streamlit application automates the mortgage application process, enhancing efficiency and reducing operational costs. The findings underscore the potential of machine learning algorithms to revolutionize credit risk assessment in mortgage lending, providing financial institutions with a reliable tool for making informed lending decisions. Key Words: Credit Scoring, Mortgage Lending, Random Forest Algorithm, Risk Assessment
Cold Chain Logistic for Pharmaceuticals Products
Authors:   NIMS University. Jaipur, India, Rout, Dr. Arbind
Published: June 2024

This research paper explores the important position of cold chain logistics inside the pharmaceutical quarter, focusing on the precise challenges and possibilities inside this area. The look at employs a group-primarily based move-sectional method, making use of each quantitative and qualitative facts to assess the performance of cold chain management for temperature-sensitive prescribed drugs. It highlights the fast improvement of bloodless chain logistics in China, driven via national rules, yet underscores the persistent challenges, along with the excessive value of pharmaceutical cold chain logistics, the need for technological improvements, and the scarcity of professional experts inside the field. The paper also addresses the imperfections within the regulatory machine governing pharmaceutical cold chain logistics, emphasizing the importance of setting up a standardized and transparent regulatory framework to ensure the safety and efficacy of pharmaceutical products at some point of their lifecycle. Through a complete evaluation of the current panorama and proposed optimization techniques, the research goals to make contributions to the enhancement of pharmaceutical bloodless chain logistics, selling the safe and green delivery of critical medications and vaccines. KEYWORDS: Research Paper, Pharmaceutical Cold Chain, Cold Chain Logistics, Optimization of Pharmaceutical Cold Chain, Logistics in Pharmaceutical Cold Chain Logistics, Cost of Pharmaceutical Cold Chain Logistics
Analyzing Patient Satisfaction Relationship with Hospital Management
Authors:   NIMS University. Jaipur, India, Kumar Mr. G Sathish
Published: June 2024

The relationship between patient pleasure and medical institution management is a crucial element of healthcare shipping structures worldwide. This research targets to research the complicated dynamics that influence affected person delight inside the context of medical institution control practices. By analyzing various factors consisting of best of care, conversation, responsiveness, and overall health center surroundings, this takes a look at seeks to discover the underlying mechanisms thru which powerful hospital control contributes to enhanced affected person satisfaction. The findings of this analysis will offer treasured insights for healthcare administrators, coverage makers, and researchers, highlighting the significance of green health center management techniques in improving affected person studies and consequences. Through a comprehensive evaluate of literature, statistical evaluation of affected person comments, and case studies from leading hospitals, this research endeavors to shed mild on how medical institution control practices may be optimized to foster better stages of affected person delight, ultimately contributing to higher health outcomes and patient properly-being. KEYWORDS: Research Paper, Staff behavior, Statistical Analysis, Visualize Findings,
The Role of Sustainable Food in Enhancing Customer Experience in Luxury Hotels
Authors:   NIMS University, Jaipur, Choudhary Yash
Published: June 2024

The adoption of sustainable food practices in the hospitality industry, especially within luxury hotels, has gained considerable attention in recent years. This research paper examines the role of sustainable food in enhancing customer experience in luxury hotels, motivated by the growing emphasis on environmental responsibility and the increasing demand for authentic and ethically sourced culinary experiences among hotel guests. The findings demonstrate a strong positive correlation between implementing sustainable food practices and enhanced customer experience in luxury hotels. Guests exhibit higher levels of satisfaction and loyalty towards hotels that prioritize sustainable sourcing, waste reduction, and eco-friendly culinary practices. The study identifies specific sustainable food attributes that significantly influence customer perceptions and preferences, contributing to a more positive and memorable hospitality experience. These research findings are valuable for luxury hotel management, offering insights into the benefits of integrating sustainable food initiatives to boost customer satisfaction and loyalty. Additionally, the findings underscore the importance of aligning luxury hotel offerings with the evolving consumer preference for sustainable and responsible dining experiences. KEY WORDS : Hotels, Sustainable food, Customer Experience
Beyond Complaints: A Strategic Analysis of College Grievance Redressal System
Authors:   Department of Computer Science and Engineering, Raj Kumar Goel Institute of Technology, Ghaziabad, 201003, Uttar Pradesh, India., Bind Chandresh
Published: June 2024

The Grievance Redressal System (GRS) aims to look into the complaints lodged by any student and redress it as per requirement. The students can state their grievance regarding any academic and non- academic matter within the campus through the online and grievance/ suggestion box. The institution aims at solving the grievances of the students within stipulated academic and non- academic matter within the campus through the online and grievance/ suggestion box. The institution aims at solving the grievances of the students within stipulated time. Key Words: Grievance, Redressal, GRS Application, Online, Grievance/ Suggestion Box, Students, Institution.
Personalized Advertising Targeting Youth in Social Media Platforms: A Study
Authors:   Dept of Journalism and Mass Comunication  Kuvempu University
Published: June 2024

The traditional type of marketing is more directed towards big customer segments in specified areas. Due to technological improvement marketing has evolved into an extreme form of segmentation where marketing targets individual consumers based on their personal needs and preferences. This has led to a discussion of whether personalized marketing is something that creates privacy concerns or benefits in the eyes of the consumer. Social networks provide a platform to facilitate communication and sharing between users, therefore modeling real-world relationships. Social Networking has also extended beyond communication between friends. Spotify, Netflix, and Amazon are well-known examples of platforms that use content personalization for their user experience. This research aims to explore the youth’s perception of social media and personalized advertising how they are targeting youth and circulating and the decision-making process. The research is designed accordingly as survey research. Keywords- Personalized content, social network, personalized marketing, advertisement, Spotify, Amazon, perception of social media
Semi-Autonomous Smart Electric Vehicle with AI based Drive Assistance
Authors:   Department of Electronics and Telecommunication MCT Rajiv Gandhi Institute of Technology Mumbai, India, Sonar Dr. Poonam
Published: June 2024

In our research, we propose a practical methodology design and implementation of a semi-autonomous smart electric vehicle (EV) equipped with advanced features such as AI-based pothole detection, a robust battery management system (BMS), self-parking capability, and intelligent headlight intensity control. The primary objective of this research is to enhance the safety, efficiency, and user experience of electric vehicles through the integration of cutting-edge technologies.The AI-based pothole detection system utilizes sensors and machine learning algorithms to continuously monitor the road surface for hazards such as potholes, cracks, or debris. By analyzing real-time sensor data, the system can accurately identify potential road hazards and provide timely warnings to the driver or take proactive measures to mitigate their impact on vehicle performance and passenger comfort. The battery management system plays a critical role in optimizing the performance and longevity of the vehicle’s battery pack. Through advanced algorithms and predictive analytics, the BMS monitors various parameters such as temperature, voltage, and current to ensure safe and efficient operation of the battery. By dynamically adjusting charging rates and load distribution, the system maximizes the battery’s lifespan while ensuring sufficient energy availability for propulsion and onboard systems. Self-parking technology enables the vehicle to autonomously navigate parking spaces and execute precise maneuvers without human intervention.
ENERGY MANAGEMENT SYSTEM OF MICROGRID WITH RENEWABLE ENERGY SOURCES
Authors:   Department of EEE & Dr. Ambedkar Institute of Technology, L V Rajesh
Published: June 2024

The most recent development in the electrical system is the microgrid. Many scattered, networked energy storage, loads, and generation units make up a typical microgrid system. An energy system made up entirely of renewable resources is called a microgrid (MG), an energy storage device, and loads that can operate in grid-connected or islanded mode. The demand for the load and the power flow within MG should be managed by scheduling renewable resources. This paper presents a hybrid microgrid energy management system (MEMS) that combines grid-connected solar (PV), wind power from microturbines, and battery energy storage systems (BESS). Due to their increased energy efficiency, microgrid units are becoming more and more well-liked every day. Energy management for microgrids is required since renewable energy sources provide an imbalance in the Power System due to their stochastic behavior. Controlling the DC/DC bidirectional converter (DBC), which links the Ni-H battery to the DC bus of the grid-connected microgrid, is the primary goal of this study. The start-up of a wind/photovoltaic power generation system to the load is covered in this study. MATLAB/SIMULINK was used to model a microgrid system that is connected to the grid. Key Words: Microgrid, Photovoltaic (PV)
IoT based Automated Greenhouse
Authors:   (Department of CSE-IoT,  Noida Institute of Engineering and Technology, Greater Noida) INDIA, kumar, Akash
Published: June 2024

The advent of the greenhouse as a sustainable form of smart agricultural farming present a best solution to address the challenges like food scarcity resulting from population growth, climate change and environment change. This method help in off-season crop cultivation even in severe climatic conditions within enclosed spaces. However, effective control and management of crop parameters within the greenhouse are essential. Leveraging advancements in the Internet of Things (IoT) introduces smart solutions for automating greenhouse farming parameters including plant monitoring, atmosphere control, and irrigation. The greenhouse is one of the growing technologies used for cultivation. This work proposes study of technologies used in the greenhouse for monitoring and control. This work analyses the different communication techniques used for monitoring the parameter of greenhouse using relays, sensors. With the help of Wi-Fi connectivity helps to analyse the real data over the cloud, real time working of the equipment. The advantage over the simple greenhouse so that the farmer can easily understand which technology suit the best. This also help farmer to adopt the best suited technique in greenhouse that are cost-friendly, easy to use, and have longer life. Keywords – IoT, Greenhouse, NodeMCU, Firebase.
Analysis and Design of Multistorey Residential Building with Response Spectrum Analysis Using SAP2000
Authors:   Assistant Professor, Department of Civil Engineering, Srinivasa Ramanujan Institute of technology,
Published: June 2024

The principle objective of this project is to analysis and design a multi-storeyed building [G + 10 (3-dimensional frame)] using SAP2000. The design involves load calculations manually and analyzing the whole structure by SAP2000. The design methods used in SAP2000 analysis are conforming to Indian Standard Code of Practice and features a state-of-the-art user inter face, visualization tools, powerful analysis and design engines with advanced finite element and dynamic analysis capabilities. From model generation, analysis and design to visualization and result verification. The project is designed in accordance with Indian codes, considering various loads such as Reinforced concrete (IS 456-2000), dead load (IS875-1987 part1), live load (IS875-1987 part2), wind load (IS875-1987 part3), seismic load (IS1893-2016 part1) and load combinations are considered as per the (IS875-1987 part-5) code books. The analysis considers seismic zone III and ensures safety by considering dead load, live load, seismic and wind forces, and balancing economy and safety. Structural design is crucial for Civil Engineers, and proper analysis can prevent structure failure and loss of life. Engineers analyze structures considering constraints like serviceability and deformability, following IS codes. Our project focuses on analyzing and designing superstructures like slabs, beams, and columns, considering dead load, live load, seismic and wind forces Response Spectrum Analysis and Shear Wall. The analysis parameters such as shear force, bending moment, and displacement. KEYWORDS: Response Spectrum Analysis, Shear Wall, SAP2000, Seismic and Wind loads.
Vibration Analysis of Aluminum Alloy Based Hybrid Composite Material
Authors:   PG Scholar, Engineering Design, Government College of Technology, Coimbatore, India.
Published: June 2024

These focuses on the Vibration analysis of seven different Hybrid composite materials. The composites include varying compositions of LM6, Si3N4, and MoS2. Static structural analysis was conducted to evaluate the deformation behaviour under applied loads, while modal analysis was performed to investigate the natural frequencies and mode shapes. The results provide insights into the mechanical properties and dynamic behaviour of the composites. Comparisons between different compositions reveal the effects of Si3N4 and MoS2 on the stiffness, strength, and deformation characteristics of the LM6 matrix material. The analysis was conducted using ANSYS Workbench software, employing numerical simulations and theoretical models. The static structural analysis investigated the deformation behaviour of the composites under applied loads, providing insights into their mechanical properties such as stiffness, strength, and deformation characteristics. Modal analysis was performed to study the natural frequencies and mode shapes of the composites, enabling the understanding of their dynamic behaviour and vibration properties. By comparing the results of the different compositions, the influence of Si3N4 and MoS2 on the composite's mechanical and dynamic properties was assessed. The outcomes of this project offer valuable insights into the design and optimization of composite materials, propelling advancements in various industries and fostering technological innovation. Key Words: Vibration, ANSYS Workbench, Static Structural analysis, Modal Analysis, Hybrid Composites, Mode shapes.
Preserving Architectural Originality: A Case Study of Rajwada Palace and Its Surroundings in Indore City
Authors:   Student, School of Architecture, IPS Academy, Indore, India, Patel Pushpendra
Published: June 2024

Through a comprehensive analysis of various factors, including urban development, neglect, commercialisation, and changing cultural values, this study examines the challenges faced in maintaining the authenticity and historical significance of the Rajwada Palace in Indore. The findings underscore the importance of robust conservation policies, community involvement, and sustainable development practices in safeguarding historical landmarks against urbanisation and cultural transformation. Keywords: Originality, Architectural originality, originality in architecture, Architectural Conservation, Rajwada Palace, Urban Development, Cultural heritage, Preservation
CONSUMER'S VIEW TOWARDS ONLINE SHOPPING
Authors:   BACHELOR OF BUSINESS ADMINISTRATION  School of Business, TIWARI KARAN
Published: June 2024

The purpose of this paper is to identify consumer’s perception towards online shopping, their concern regarding online shopping and types of product they purchase. This study is conducted with objectives and interpretation is done on the data collected to give effective solution for the findings. This is a qualitative and quantitative study to discover customer belief on online buying. The important objective of this paper is to recognise consumer perception toward online shopping. The primary data is being collected via questionnaire in shape of Google form. The information has been accrued from 63 respondent dwelling in Delhi NCR. Result of the analysis shows that price, product, quality, on-time delivery, payment option, product information, easy accessible are the main elements that impact the consumer belief to shop online. Keywords- customer belief, mode of payment, online purchasing, perception.
A STUDY ON RECOGNIZING HOW EMPLOYEES VIEW HUMAN RESOURCE PRACTICES AT JMR APPARELS COMPANY
Authors: Rebecca, Dr. A. Sindhiya
Published: June 2024

This research study aims to investigate how employees perceive human resource (HR) practices. Understanding employees' perspectives on HR practices is crucial for fostering a conducive work environment, enhancing employee satisfaction, and ultimately improving organizational performance. The study will explore various dimensions of HR practices, including communication effectiveness, fairness and equity, support for work-life balance, opportunities for development, and employee engagement and recognition. Utilizing a mixed-method approach, quantitative surveys and qualitative interviews will be conducted to gather comprehensive insights into employees' views. By recognizing and addressing employees' perceptions, the organization can create a workplace culture that promotes employee engagement, satisfaction, and organizational success.
Reducing the Role of Nuclear Weapons in Military Alliances
Authors: Erästö Tytti
Published: June 2024

This paper examines the role of nuclear weapons in military alliances, focusing on the perspectives of the so-called umbrella states—that is, allied states that do not have their own nuclear weapons but are part of the ‘extended nuclear deterrence arrangements’ of a nuclear-armed patron. After analysing allied security thinking and highlighting the underlying assumptions about nuclear deterrence, the paper subjects some of those assumptions to critical scrutiny. Taking into account regional military balances and escalation risks related to nuclear deterrence, it challenges the perceived security benefits of forward-deployed non-strategic weapons, continued support for allied nuclear doctrines based on readiness for the first use of nuclear weapons, and the assumed inevitability of nuclear second strike that underlies the practices of nuclear assurance. The goal is to open discussion on the development of a more measured approach to deterrence that would allow for minimizing the role of nuclear weapons in military alliances.
The influence of work motivation on employee performance at the Indonesian Red Cross blood transfusion unit, Makassar City
Authors: Arny Asmoy  , Ruliaty Ruliaty , M.Hidayat
Published: June 2024

This research aims to determine and analyze the influence of work motivation on employee performance in the Indonesian Red Cross Blood Transfusion Unit, Makassar City. The type of research used is quantitative descriptive. The population in this study were all employees of the Indonesian Red Cross Blood Transfusion Unit in Makassar City. This research used a saturated sampling technique with a sample size of 95 respondents. The data collection technique uses a questionnaire technique. The data analysis technique used to test the hypothesis is simple linear regression and t-test (partial test) which is processed using statistical calculations via the Statistical Package for the Social Science (SPSS) version 26. The results of the study show that work motivation has a positive and significant effect on employee performance. at the Indonesian Red Cross Blood Transfusion Unit in Makassar City as evidenced by the Work Motivation coefficient (X) value of 0.414 and the calculated t value of 3.859 > t table 1.661 with a significant value of 0.000 < 0.05. So it can be concluded that Work Motivation has a positive and significant effect on Employee Performance At the Indonesian Red Cross Blood Transfusion Unit, Makassar City
THE INFLUENCE OF WORK INCENTIVES AND SOCIAL SECURITY ON IMPROVING EMPLOYEE PERFORMANCE IN REGIONAL PUBLIC COMPANIES TIRTA JENEBERANG DRINKING WATER REGION, GOWA REGENCY
Authors: Indriani Dwi Cahyono  , Andi Rizfan Rizaldi  , M. Yusuf Alfian Rendra Anggoro
Published: June 2024

This research aims to analyze the effect of incentives and social security on improving employee performance at PDAM Tirta Jeneberang, Gowa Regency. The research method used is quantitative with a descriptive approach. The research location was carried out at PDAM Tirta Jeneberang, Gowa Regency, over a 3 month period. Data was collected through questionnaires and analyzed using descriptive statistical methods via applicationsStatistical Package for the Social Science (SPSS) 25. The results obtained from this research show that there is a positive relationship between Work Incentives (X1) and increased employee performance (Y), as well as Social Security (X2) which contributes positively to increased employee performance (Y) at PDAM Tirta Jeneberang Regency Gowa.
Design and Fabrication of a Single-Stage U-Type Savonius Wind Turbine Using Low Wind Speeds and Water Hyacinth Composite Material
Authors: Suheri Suheri , Bahri Widodo Syamsul , Arif Zainal , Yacob Iskandar , Syafii Muhammad
Published: June 2024

This research created an innovative single-stage U-type Savonius wind turbine with water hyacinth composite material, intended for low wind speeds. With the steps of wind speed measurement, turbine rotation monitoring, and power measurement, interesting results such as a wind speed of 4.52 m/s producing a power of 5.17 volts were revealed. The significance lies in the potential of the water hyacinth composite turbine in utilizing low wind speeds to generate electricity. The conclusion notes the achievements in the manufacturing process of Savonius turbine blades and suggests that these findings provide an important basis for the development of composite-based wind turbines as an environmentally friendly renewable energy source.
Proposed Improvements in Shrimp Business Productivity
Authors: Efendi Irwan , Meri Andriani  , Irawan Heri
Published: June 2024

Makmur Jaya is a vaname shrimp farming business, located in Kebun Kelapa Village, Secanggang District, Stabat. The problem faced by SMEs. Makmur Jaya is that poor input utilization causes productivity to decline. The research objective is to identify productivity and productivity improvement strategies at SMEs. Makmur Jaya. The method used in this research is the American Productivity Center (APC) method. The results of the study, the largest increase in the productivity index in period 4 by 1% while the largest decrease in the productivity index in period 2 by -46.74%, the highest increase in the profitability index in period 3 by 1% while the highest decrease in profitability index in period 2 by -55.06%, and the largest price improvement index occurred in capital period 2 by 1.62, while the smallest price improvement index occurred in material period 2 by 0.79. The study concludes that the decline in productivity occurred in period 2 by 46.74%, so it is necessary to increase productivity. Strategy to increase productivity in SMEs. Makmur Jaya is minimizing the use of inputs to produce large outputs. Based on the results of the calculation, the input can be reduced by 36.49% (RP. 107,969,896) and the output can be increased by 56.53% (RP. 107,296,767) so that the total productivity increases by 0.94% from the initial total productivity.
Analysis of Flexural Stress in Prototype Carding Machine Spindle Gears Made of Aisi 1020 Steel
Authors: Safii Muhammad , Khaqurokhim  , Muhammad Rouf , Suheri Suheri , Nugroho Agung , Susanto  , Arya Muhammad Iqbal Farhan Putra
Published: June 2024

Stress in a mechanically loaded structure is a critical aspect that warrants thorough investigation. The impact of stress on a structure can lead to various consequences, including crack propagation and fracture. Gears play a crucial role in transmitting power and rotation between shafts, making an in-depth analysis of stress in gears essential for ensuring mechanical reliability. Previous research has predominantly focused on stress and loads in gears, utilizing mathematical and numerical methods to explore variations in parameters such as gear diameter and thickness in various vehicles and machines. However, there is a noticeable gap in the literature regarding the analysis of the effect of AISI 1020 steel material on spur gears, particularly in the context of a carding machine for silk processing. This study aims to fill this void by employing a mathematical approach to determine the flexural stress in prototype spindle gears used in a carding machine for silk processing. Through thorough analysis and mathematical calculations, the flexural stress in the prototype spindle gears of the carding machine for silk processing was determined to be 176.32 kg/mm². This research provides valuable insights into the mechanical behavior of gears under load, specifically in the context of the unique requirements of a carding machine for silk processing.
Reliability assessment and accelerated life testing in a metalworking plant
Authors:   Department of Mechanical Engineering, Rivers State University, Rivers State, Nigeria, Wofuru-Nyenke Ovundah
Published: June 2024

Reliability assessments are useful for determining how well products, systems, and services maintain their quality over the course of time and through various conditions. In this paper, a reliability assessment of a metalworking plant was conducted, as well as accelerated life testing of the plant's spot-welded and riveted products. The overall layout of the plant was complex, requiring the use of equations to calculate the reliability of stations being connected in series and parallel in order to determine the overall reliability of the system. Furthermore, equations for mean life and failure rate were used in determining the estimate of mean life for the tested components, as well as the rate at which the components fail, respectively. The results indicated that the metalworking plant had a reliability of 0.81 or 81%. Moreover, the results indicated that the failure data of the spot-welded products follow the exponential model, with the failure rate of the products being constant throughout the period under investigation. The failure data of the riveted products follow the Weibull model, increasing throughout the period under investigation. This study presents a procedure for aiding production and maintenance managers in conducting reliability assessments of their production systems.
The application of the Bayesian linear regression model to optimize the maintenance of a programmable logic controller
Authors:   Department of Mechanical Engineering, University of Port Harcourt, East-West Road, Port Harcourt, Nigeria, Obele Alenju Frank , Aikhuele Daniel O. , H.U Nwosu
Published: June 2024

In this paper, an optimization approach, which is based on the Bayesian Linear Inference (BLI) model, has been proposed for the maintenance of Programmable Logic Controllers (PLCs). The BLI model, which is implemented using historical data, incorporates maintenance indicators like the number of failures (NF), total downtime (TD), total unexpected intervals (TUI), mean time to repair (MTTR) and mean time between failures (MTBF). It offers a probabilistic framework for determining the influence of each predictor variable on PLC maintenance. The model produces posterior means, credible intervals, and standard deviations, which provide insights into the magnitude and uncertainty of these relationships. The results from the study show that factors like NF and TD are influenced by the magnitude and direction of the maintenance levels. Also, the R-squared score (0.85) also indicates how much of the variability in maintenance in the system. From the results obtained, the study can conclude that the BLI model can optimize PLC maintenance procedures by identifying essential components and their contributions. Also, it is able to estimate future maintenance requirements and helps with resource allocation and process optimization decisions.
Design and implementation of a dual-axis sun tracker for an Arduino-based micro-controller photovoltaic system
Authors:   Faculty of Engineering, Computing and Science, Swinburne University of Technology Sarawak 93350, Kuching, Malaysia, Wong Lin Fung , Nabipour Afrouzi Hadi , Tavalaei Jalal
Published: June 2024

This research investigates the optimization of solar panel performance by designing and implementing a low-cost Dual-Axis Sun Tracker (DAST) for an Arduino-based Microcontroller Photovoltaic System. The primary aim is to enhance solar energy extraction by precisely aligning the panel perpendicular to the sun's position, maximizing output voltage and current efficiency compared to fixed systems. The DAST employs two micro servo motors, SG90, controlled by a specialized chronological algorithm in offline mode, ensuring strategic alignment and scheduled adjustments. A comprehensive evaluation of the DAST's performance is conducted, contrasting it with a Fixed System to underscore the advantages of solar tracking. As a result, a DAST produces higher output than a fixed system by 0.896W during sunny days and 0.206W during cloudy days. Besides, the efficiency of PV panels in the DAST is 71.65%, and fixed is 49.66% during sunny days, while DAST is 22.96% and fixed is 17.91% during cloudy days.
The comparative performance study of the EF7 downsized engines; fuel economy besides CO2 reduction
Authors:   University of Science and Technology of Mazandaran, Behshahr, Iran, Namar Mohammad Mostafa , Jahanian Omid ,   Babol Noshirvani University of Technology, Babol, Iran, Nikzadfar Kamyar ,   University of Warwick, Coventry, UK, Shafaghat Rouzbeh
Published: June 2024

Engine downsizing is considered a strategic idea in fuel economy enhancement as well as reduction. It is defined in the literature as the decrease in engine geometrical dimensions besides its performance being fixed. In this research, the Iranian gasoline-fueled national engine, EF7, has been investigated for 25% downsizing. After introducing the gasoline-fueled and CNG-fueled versions of downsized engines, their performance, besides release rates are studied in detail. A one-dimensional engine simulator coupled with a 3D-CFD model is developed to carry out such an investigation, an experimental test setup is provided to evaluate the accuracy of the provided numerical model, as well. The first version of presented downsized engines, called EF7, is a 3-cylinder engine with the same geometrical characteristics as the base engine, which is equipped with a turbo-charger and dual CVVT technologies. The EF7 is then introduced by fuel shifting to CNG as the second version of downsized engines, and finally, increasing the compression ratio, the EF7 is presented as the third version of studied-downsized engines. The results show almost the same rate of BSFC besides a 3.4% reduction in concentration for EF7, 20.6% fuel economy enhancement, besides 20.8% reduction in the specific release rate for EF7, and 28.8% fuel economy enhancement, besides 25.3% reduction in the specific release rate for EF7 in comparison with the base engine.
Product differentiation of Sarawak premium rice using MOS gas sensors: comparison between transient and frequency response
Authors:   Swinburne University of Technology Sarawak Campus, Kuching, Sarawak, Malaysia, Jee Ke Wei , Chua Hong Siang , Lee Hui En
Published: June 2024

In Malaysia, rice, ranked as the third most crucial crop, faces challenges due to domestic consumption outpacing production, resulting in increased instances of rice adulteration. This underscores the imperative of maintaining integrity and quality standards across the entire supply chain. This study uses an electronic nose, comprising four metal oxide semiconductor (MOS) gas sensors, and employing temperature modulation, Principal Component Analysis (PCA) and supervised machine learning (classification models) to distinguish rice varieties such as Bario, Bajong, Borneo Fragrant, Biris, and Jasmine. The study evaluated 30 classifiers based on their classification and validation accuracy. Sensor data was first extracted from the transient response of sensors output voltage, yielding a 12-dimension dataset with response times of 30 s, 50 s, and 95 s. Classification models trained from this dataset achieved classification (training) accuracy of up to 100% and validation accuracy of up to 96%, where the best performing models are subspace discriminant and kernel naïve bayes classifiers. An attempt was also made to analyze the sensor data frequency response for rice classification. Comparison between the prediction results in the transient and frequency domains showed that transient response is better suited for the classification of rice.