bluuebunny/crossref_metadata_2025 huggingface dataset:
Screening of phytochemicals, antioxidant activity, and in vivo safety profile of the hydroethanolic peel extract of Musa sapientum
Authors: Mahora Mishell , Kigundu Alex , Waihenya Rebecca
Published: April 2024

Introduction: Banana peels can be utilized as nutraceuticals in the management of disease caused by oxidative stress, like any other plant material. It is therefore, important to understand the phytochemical constitute, antioxidant capacity and the safety profile of Musa sapientum variety Muraru peels.
Aim of the study: The study identified the chemical composition of unripe and ripe Musa sapientum variety Muraru peels, along with its antioxidant capacity and evaluated the oral acute and sub-acute toxicity of Muraru peel hydroethanolic extracts.
Materials and methods: Qualitative and quantitative phytochemical analyses were performed, GC-MS was used in the identification of bioactive compounds present. The DPPH total antioxidant activity was used to evaluate the scavenging percentage and IC50. Acute and sub-acute toxicity tests were done for Musa sapientum variety Muraru hydroethanolic peel extract. Hematology, biochemistry and relative organ weight were analyzed, with the sub-acute group organs were further analyzed for histopathology.
Results: Flavonoids, tannins, phenols were found abundant in both unripe and ripe Muraru peels. GC-MS showed that the peels were rich in lipids, fatty acids and terpenoids. The unripe peels showed significant total antioxidant capacity. No significant difference (p> 0.05) was observed in hematology, biochemistry, relative organ weight compared to the normal controls. Histopathological examination of liver, lung, heart, kidney and spleen showed normal tissue orientation in all treated groups.
Conclusion: Unripe and ripe Musa sapientum variety Muraru peels are both rich in various secondary metabolites which greatly influenced its antioxidant capacity. Toxicity profile showed that Muraru hydroethanolic peel extract are nontoxic.
The effect of using the generative method in learning defensive skills in basketball
Authors: Saja Shukur  , Hudaa Abdul Samie  , Zena Abdul Salam  , Zainab Qahtan
Published: April 2024

تكمن أهمية البحث من تجريب مجموعة من الأساليب التدريسية المتنوعة في طبيعة تطبيقها من اجل خلق أجواء تدريسية مناسبة للطلاب ويهدف البحث إلى التعرف على تأثير أسلوب التعلم التوليدي لتعليم المهارات الأساسية الدفاعية للعبة كرة السلة والتعرف على اي الأسلوبين التدريسيين أفضل في تعليم المهارات الأساسية الدفاعية للعبة كرة السلة والمجال البشر يتضمن طلاب المرحلة الأولى في كلية التربية البدنية وعلوم الرياضة / لجامعة بغداد للعام الدراسي (2022/2023)، فقد استخدمت الباحثات المنهج التجريبي بتصميم (المجموعات المتكافئة) الملائمة لطبيعة المشكلة، وكانت اهم الاستنتاجات ان التنوع في استعمال الاساليب التي يشتمل عليها الاسلوب التوليدي يعطي دافعية أكبر للتعلم بالتالي له تأثير ايجابي في تعلم مهارات البحث ،اما التوصيات فقد أوصيت الباحثات على اعتماد اساليب تدريس متنوعة تعمل على زيادة الدافعية والرغبة في التعلم وبالتالي كسر الجمود والروتين المتبع في التدريس.
Social support and its relationship to motivation to participate in sports competitions and scout camps for middle school female students in the Babylon Governorate Center
Authors: Muadh Saleh Jawad Al-Salem
Published: April 2024

من خلال عمل  الباحث كمعلم تربية رياضية في إحدى مدارس محافظة بابل، يلاحظ الباحث وجود ضعف في مشاركة الطالبات في المسابقات الرياضية التي تستضيفها الأنشطة الرياضية والمدرسية وهدف البحث الى اعداد مقـياسي المساندة الاجتماعية ودافعية المشارة في المنافــسات الرياضــية والكـشفية  والـتعرف على واقعهما والـتعرف على الـفروق بينهما، والتـعرف على عـلاقة المســاندة الاجتــماعية وعلاقتها بدافعية المشاركة في المنافسات الرياضــية والكشفية فـي مركز محافـظه بابـل وتعتبر طالبــات المرحــلة الاعداديــة  فـي محـــافظة بابـــل هم المجال البشري اما الـمجال الزمـني من 4/11/2022 الـى 11/5/2023 والمجـال المـكاني هو مدارس الاعدادية في مركز محـافظة بابـل و تم اتباع إجراء إيجاد مقياسي المساـندة الاجتــماعية والدافعية للمشاركة في الألعاب الرياضية والكشفية على عينة من طالبات مركز محافظة بابل باستخدام المنهج الوصفي، حيث تمثلت عينة البحث به (370) طالبة و تم التعرف على واقع المساندة الاجتماعية ودافعية المشاركة في المنافسات الرياضية لطالبات المرحلة الاعدادية في مركز محافظة بابل و توصل الباحث إلى وجود علاقة ارتـباطية بين دافعية المـشاركة فـي المنافسـات الرياضـة والمسـاندة الاجتـماعـية  لطـالبات المـرحلة الاعدادية في مـركز محافــظة بابـل ختامـاً يـوصي الباحث بالإفادة من المقاييس و إجراء دارسات أخرى وضرورة تسليط الضوء على شريحة الطالبات.
Operation Management of Grocery Retailer in the UK: A Case of Tesco
Authors: Meng Shujun
Published: April 2024

Tesco is the biggest grocery retailer in the UK focused on food products selling and some non-food services such as clothing, home appliances, financial, etc. Over the last five years, Tesco has had a healthy growth in revenues and net profits, which reflects the success of Tesco's operations management. The purpose of the study is to explore the successful operation management of Tesco company, which can bring some inspiration for other companies to grow. This paper mainly includes operation design (products, service, process, and layout design), resource planning and control, and capacity management. In terms of operation design, Tesco launched a new baby food range with absolutely no salt or sugar, no artificial colors or spices to protect children’s health; Clubcard, Scan as you go, staff visibility, and Online shopping & Delivery adopted for giving customers’ more benefits and convenience; Tesco belongs to mass service process, adopts tracking technology named thermal imaging cameras to monitor queue lengths, reduce customer waiting time, increasing service speed and flexibility. Tesco mainly uses a functional layout, keeps the layout of its stores the same to allow customers to quickly find the goods, saving shopping time, and designed the display locations of its products to increase its revenue. For Planning and control, Tesco belongs to ‘Produce to stock’, which shows the characteristics of a high volume of products, which can save customers’ time, because the products have been produced in advance for customers to buy. Regarding Capacity management, Tesco adopted a mixed strategy which is chase demand and demand management to manage mismatches. Effective operation management strategies have made outstanding contributions to the realization of Tesco's business objectives, profit increase, and long-term development.
A Study on the Legitimization Strategy in War Discourse
Authors: Li Xinyue , Li Dekun , Sun Guang
Published: April 2024

All kinds of human social activities are inseparable from language, and war is no exception. Compared with other social behaviors, people naturally have a fear and resistance to war, especially the unjust war of aggression. Faced with this situation, politicians skillfully used various discourse legitimization strategies to win public opinion support for the smooth progress of the war. This paper uses Reyes's discourse legitimization strategy framework to analyze the discourse of American officials in the Iraq War, and reveals how the United States beautifies an aggressive war into a just and noble war against terrorism.
Problems and Countermeasures of Faculty Construction in Private Colleges and Universities
Authors: Zhang Lingli
Published: April 2024

Private higher education has developed into an important part of China’s higher education, and its development history can be described as a mixture of opportunities and challenges, achievements and confusion. The construction of private higher education faculty is faced with the challenges of serious brain drain, imbalance of talent structure, and low professional identity. Improving regulations and systems, completing supporting policies; standardising internal management, perfecting the guarantee system; strengthening the training of teachers and improving professionalism can effectively enhance the overall development of private higher education and achieve sustainable development.
Navigating Legal Responsibilities in Chinese Private Equity Investments: A Comprehensive Study on Human Resource Management Practices
Authors: Yang Xinfang
Published: April 2024

Human Resource Management (HRM) plays a pivotal role in the success and sustainability of ventures, particularly within the complex domain of Chinese private equity investments. This study delves into the multifaceted legal responsibilities inherent in HRM practices within this context, aiming to provide comprehensive insights essential for effective organizational management and compliance. Drawing upon specific Chinese laws, empirical data, and relevant citations, the study scrutinizes crucial areas such as employment law compliance, corporate governance obligations, adherence to industry-specific regulations, and compliance with international labor standards. Through a detailed examination of key legal obligations and regulatory frameworks, the research illuminates the challenges faced by human resource professionals and private equity firms in China, offering valuable insights for practitioners and organizational leaders alike. By emphasizing proactive compliance initiatives and the significance of ethical labor practices, this study contributes to the cultivation of a regulatory-aware and ethically conscious environment conducive to organizational success in the dynamic landscape of Chinese private equity investments.
The integration of OBE concept and BOPPPS teaching mode in college physics course
Authors: Zhang Jidong
Published: April 2024

College physics is a compulsory public course for students majoring in Science, Engineering, Agriculture and Medicine at universities. It aims to cultivate students' physical thinking and ability to analyze and address problems, so as to lay a foundation for students' future specialized courses. Taking "The effect of magnetic field on current-carrying wire" as an example, this paper carries out a research on the teaching design of BOPPPS model of college physics course based on OBE concept, and explores a new path and strategy for teaching reform model of college physics course.
MeetMaster Web Application using Spring Boot and Angular
Authors:   Information Technology & Parvatibai Genba Moze College of Engineering, Pune, Karhale Prof. Shivani
Published: April 2024

In contemporary web development, two predominant approaches prevail for crafting web pages: the Multi-Page Application (MPA) and the Single Page Application (SPA). This research paper centers on elucidating the exhaustive process of developing a Single Page Application (SPA) employing open-source technologies, specifically Spring Boot for the backend and Angular for the frontend. The integration of these frameworks facilitates the creation of dynamic and responsive web applications, offering enhanced user experiences. Through this paper, we delve into the architecture, implementation, and best practices associated with building SPAs, leveraging the robust features and capabilities of Spring Boot and Angular. Furthermore, the paper elucidates the advantages of SPAs over MPAs, highlighting their efficiency, scalability, and adaptability in modern web development paradigms. The comprehensive exploration of this topic aims to provide developers with valuable insights and practical guidance for effectively constructing SPAs utilizing Spring Boot and Angular. Key Words: Spring Boot, Dependency Injection, Angular Bean etc.
A Study on Employees Perception Towards the Quality of Work Life
Authors:   Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India, D Femina Sharu
Published: April 2024

Work-life balance is considered to be important for both, business practice and academic research. The literature shows that work-life balance is a central issue affecting wellbeing, as family and work are the most important elements of everyone’s life. Work life balance from the employee viewpoint: the dilemma of managing work obligations and Personal/family responsibilities. Research suggests that improving the Balance between our working lives and our lives outside work can bring real benefits for Employers and employees.In the dynamic landscape of the Information Technology (IT) industry, employees often find themselves navigating a delicate balance between their professional responsibilities and personal lives. The concept of work-life balance has gained considerable attention in recent years, as organizations recognize the importance of fostering a supportive and harmonious work environment. This study aims to explore how employees perceive their work-life balance. By examining factors such as workload distribution, job autonomy, support from supervisors, and the availability of work-life balance programs, this research seeks to identify areas where improvements can be made to enhance the overall quality of work life for employees. The findings of this study will provide valuable insights that can inform the development of strategies and policies to promote a healthier work-life balance within the organization.
Corporate Governance and Financial Performance: A Longitudinal Analysis of the Impact of Board Structures
Authors:   Tjohn College, Bangalore., J Hemalatha Yadav
Published: April 2024

The conducted study associated with the longitudinal analysis of the impacts of corporate governance especially board of structure on the financial performances of the organisations. The aim of the study is to understand the longitudinal impact of board structures on the financial performance of companies. Here, the dynamic changes in board structure discussed where leadership style and board size play vital roles. In this study, the primary method was used where data collected by using Google Form. In that case, a total of 70 respondents from different organisations who offered their experience. In this study, a primary data analysis method was used that helped to analyse all the data which helped in data interpretation aspects. Keywords: Corporate Governance, Board Diversity, Board Structures, Financial performance, Transparency and decision-making etc.
BRIEFLY Video Transcript Summarizer
Authors: Pawar Shaila
Published: April 2024

In an age where video content proliferates across digital platforms, the need for efficient video transcript summarization tools has become increasingly crucial. This abstract introduces a novel Video Transcript Summarizer designed to automatically generate concise and informative summaries from lengthy video transcripts. By utilizing techniques such as text summarization, keyword extraction, and sentiment analysis, the summarizer seeks to capture the essence of the video while preserving its context and relevance. The abstract concludes by highlighting the potential applications of such a tool in various domains, including education, journalism, content creation, and information retrieval, underscoring its significance in facilitating accessibility and enhancing user engagement with video content Keywords-- Video Transcript Summarization, Natural Language Processing, Machine Learning, Text Summarization, Keyword Extraction, Information Retrieval, User Engagement, Accessibility, Information Extraction, Context Preservation.
Design of Advanced High Performance Bus (AHB) to Advanced Peripheral Bus (APB) Bridge
Authors:   ECE,RVRJCCE,INDIA, K Mounika
Published: April 2024

The Advanced Microcontroller Bus Architecture (AMBA) has long served as the on-chip bus standard for System-on-Chip (SoC) designs, despite its inherent low performance. Within the AMBA framework, the Advanced High-performance Bus (AHB) is utilized to connect analog and digital signal processors, alongside high-performance memory controllers. Conversely, the AMBA Advanced Peripheral Bus (APB) facilitates connections to peripherals such as UARTs. Both buses are interconnected via a bridge, known as the AHB2APB Bridge, presenting a challenging proposition for the evaluation of AMBA-based systems. AMBA bus protocol, enables communication between different functional blocks or Intellectual Properties (IP), our endeavor focuses on building high-performance SoC designs. By exploiting the reusability of IP across different buses and supporting multiprocessor unit development, we strive to bridge the communication gap between high-performance AHB and low-speed APB. The simulation of the AHB2APB Bridge module, designed in Verilog HDL is conducted on the Xilinx Vivado platform. Our primary objective is to achieve high-speed pipelined data transfers while ensuring no data loss during transmission Key Words: System on chip, AHB2APB, Verilog HDL, Xilinx Vivado
Intelligence Surveillance System Using Machine Learning
Authors:   Department Of Computer Science and Engineering  IIMT College Of Engineering, Bajpai , Suyash
Published: April 2024

The improvement of vision-based artificial intelligence, the rise of the Internet of Things connected cameras, and the increasing common need for rapid security, the demand for exact real-time intelligent surveillance has never been higher. For a human it is very difficult to monitor surveillance videos continually, so a smart and intelligent system is essential that can do real time monitoring of all activities and can categories between usual and some unusual activities. This paper aims to transform the surveillance landscape, to bring more effective, intelligent, and equitable security to the field, resulting in safer and more protected communities without requiring people to compromise their right to privacy. Keys—Surveillance, artificial intelligence, IOT, computer vision, application, real-world, real-time, edge,
Enhancing Academic Integrity: Plagiarism Detection with Machine Learning
Authors:   Student of BE. Dept. of Information Technology MET-IOE, Nashik, India, Salunkhe Rajan
Published: April 2024

This project presents an advanced machine learning-based system designed to empower students to uphold academic integrity and foster originality in their research endeavours. Seamlessly integrated into the research process, the system enables students to input project information, utilizing a sophisticated algorithm and vast academic dataset to compute a matching percentage, facilitating the assessment of work uniqueness. Beyond mere plagiarism detection, the tool serves as an educational resource, promoting self-awareness and improvement among students. It encourages responsible research practices, offers comprehensive reports, and personalized recommendations, and integrates with existing learning management systems for accessibility. Addressing evolving research methodologies, promoting interdisciplinary exploration, and maintaining adaptability to shifting trends, the system significantly contributes to academic integrity preservation and originality cultivation. Key Words: academic integrity, originality, machine learning, plagiarism detection, educational resources, research methodologies.
Classification of Benign and Maligant using Deep Learning Technique
Authors:   ECE, RVRJCCE, INDIA, K .Vishnavi
Published: April 2024

Breast cancer is one of the most common malignant tumors in women, which seriously affect women's physical and mental health and even threat to life. At present, microscopic images are the important criterion for doctors to diagnose breast cancer. However, due to the complex structure of microscopic images, it is relatively difficult for doctors to identify breast cancer features. Deep learning is the most mainstream image classification algorithm which uses Convolutional Neural Network (CNN). In this project first, the BreakHis400x (Breast Cancer Histopathological Images) images will undergo pre-processing such as enhancement and data augmentation in order to increase the number of images. Secondly, the pre-processed dataset will be trained on deep learning model that extracts the features and generate the performance evaluation metric of CNN models. We are going to use python software for classifying the images.
Predicting Airline Ticket Prices Using Machine Learning Predicting Airline Ticket Prices Using Machine Learning
Authors:   Student, Department of Computer Science and Engineering, Tirumala Engineering College, Iswarya Gopu
Published: April 2024

Airfare prices are constantly changing due to various factors like the time of flight, destination, and length of the trip. To help people figure out the best time to buy tickets, we are working on a system that will use machine learning to predict prices. By studying past flight data in India, we want to uncover pricing patterns and suggest the ideal time to purchase tickets. This project aims to confirm or dispel common beliefs about airlines by comparing prediction models and finding ways to save money on ticket purchases. Price trends can vary significantly based on various factors such as the route, month, day, time of departure, holidays, and the airline carrier. Competitive routes like major business destinations (Mumbai-Delhi) tend to see price increases closer to the departure date. On the other hand, routes like tier 1 to tier 2 cities (Delhi-Guwahati) have specific time frames when prices are lower. The data also shows that there are two main categories of airline carriers in India: economical and luxurious. Generally, the lowest-priced flights fall under the economical group. Moreover, the data confirms that specific times of the day tend to have higher prices. By including different routes in this project, there is a potential for substantial savings when buying domestic flight tickets in India. Key Words: Airline Ticket, Pricing strategies, Fare fluctuations, Competitor analysis, Market trends
Solar Powered Air Purification and Cooling
Authors:   AP, EEE Department, Vimal Jyothi Engineering College, Joseph Jyothi
Published: April 2024

This paper presents a pioneering approach to address indoor air quality challenges in urban residential spaces through the integration of solar power and advanced technology. The developed system leverages dual-axis solar tracker technology for efficient energy harvesting and storage, ensuring continuous operation. Automation driven by energy-efficient algorithms orchestrates indoor air filtration using sensors and advanced filters to remove dust and toxic gases effectively. A key innovation is the integration of renewable energy with air purification, contributing to sustainable urban practices and healthier living environments. Central to this system is an intelligent air quality monitoring framework, based on the Arduino Uno microcontroller, facilitating real-time assessment of indoor air quality. Rigorous testing and residential experiments validated the system's capability in accurately monitoring air quality indicators. The findings highlight the potential impact of this system in mitigating the transmission of airborne viruses and pollutants, thereby enhancing indoor air quality significantly. This project represents a crucial step towards creating sustainable and healthier urban living environments. Key Words: indoor air quality, solar power, air purification, intelligent monitoring, urban sustainability.
Behavior Cloning for a Self-Parking Car
Authors:   Artificial Intelligence and Data Science Department, Shah & Anchor Kutchhi Engineering College, Khairnar Mr. Milind
Published: April 2024

In the context of self-driving cars, Behavior Cloning can be used to train a model to perform complex driving tasks, such as parking, by observing human drivers perform these tasks. In a self-parking car, Behavior Cloning and genetic algorithms can be used together to train a model to perform the parking task. The model can be trained on a dataset of human driving behavior, where the expert driver is demonstrating the parking task. First, it allows the model to learn from human drivers, who have a wealth of experience and knowledge about driving and parking. Second, it enables the model to learn from a large dataset of driving behavior, which can improve its generalization performance. Finally, the use of genetic algorithms can help to optimize the model's performance and ensure that it is well-suited to the specific task of parking. Despite these challenges, Behavior Cloning and genetic algorithms have the potential to be powerful tools for training self-parking cars. By combining the strengths of imitation learning and optimization, these techniques can help to create models that are both accurate and efficient, and that can improve the safety and convenience of self-driving cars. Key Words: Car, self-Parking, Genetic algorithm, Accident safety, road, Virtual environment.
Raspberry Pico Based Dual Axis Smart Solar Tracking System
Authors:   Dept. of ECE,  Gurunanak institute of technology,  Hyderabad, India, V . Ankith
Published: April 2024

One of the most critical global concerns is the energy crisis, which has led to a growing emphasis on renewable energy solutions. Solar panels have become increasingly popular in recent years as they efficiently convert solar energy into electrical energy. Their affordability and minimal environmental impact make them a preferred choice. Solar panels release electromagnetic radiation during electricity production. The primary objective is to develop an effective autonomous solar tracking system that constantly adjusts the solar panel's position to remain perpendicular to the sun's rays. In this system, a photoresistor serves as the sensor, detecting sunlight to facilitate automatic adjustments. Both horizontal and vertical axes on the dual-axis solar panel are rotated to enhance device efficiency. This dual-axis mechanism provides precise control over the panel's elevation relative to the sun, ensuring optimal energy capture. Solar tracking systems are specifically designed to maximize solar panel efficiency by aligning them with the sun's position throughout the day. These systems utilize sensors and motors to continuously adjust the panel's orientation, resulting in increased energy production and a better return on investment compared to fixed solar panels.
Machine Learning Strategies for Understanding Stock Market Behaviour
Authors:   Student, Department of I.T, RMD Sinhgad School of Engineering, Warje, Pune, Maharashtra, India, Patil Vivek
Published: April 2024

The stock market is a dynamic and complex financial system influenced by numerous factors, making accurate forecasting a challenging task. Traditional methods often fall short in capturing the intricate patterns within financial data. This research paper explores the application of machine learning techniques for stock market forecasting, aiming to provide a comprehensive overview of the current state of the field. The paper reviews relevant literature, discusses popular machine learning algorithms, and assesses their effectiveness in predicting stock market trends. Additionally, real-world applications and challenges in implementing machine learning for stock market forecasting are explored.
Hybrid Go Kart Using Single Cylinder Engine
Authors:   Department Of  Automobile Engineering, Theem College of Engineering Boisar, 401501, India., S Rushabh Dalvi,
Published: April 2024

This project report describes the design, fabrication, and testing of a hybrid go kart using a single cylinder engine and a Lead acid battery pack. The go kart uses a chain drive system to transmit power from the engine and electric motor to the rear wheels. The go kart also has a braking system, steering system, and seat. The go kart is designed to be lightweight and strong, and to provide a good balance between handling and stability. It is decided to use AISI 1018 for making the chassis frame. The engine, electric motor, battery pack, and chain drive system were then installed in the chassis. The hybrid go kart is a viable alternative to traditional go karts. It offers a number of advantages, including improved fuel efficiency, lower emissions, and increased performance. Key words: Hybrid Go-kart, Increased Performance, Lower Emission
Design Optimization of the control arms of a Double Wishbone Suspension System using Topological Approach
Authors:   Department of Automobile Engineering, Theem College of Engineering, Boisar, Singh Aditya
Published: April 2024

This paper focuses on design optimization of an existing double wishbone type suspension system from a consumer vehicle. The suspension system acts as a key element in between the vehicle and the road, and has a significant impact on the handling and feel of the vehicle. The suspension system is a critical system that directly influences vehicle dynamics, ride comfort and overall driving experience. Optimizing core suspension factors such as weight, strength and geometry are a key to achieving optimal performance, handling, ride quality and stability. Known for its precise handling characteristics and superior ride comfort, the double wishbone suspension is an ideal candidate for improving its design to a new ceiling. By using FEM with the principles of topology optimization, we aim to create an optimized control arm design that is lighter in weight as compared to its original design, without significantly affecting its strength characteristics. Key Words: control arms, double wishbone suspension, topology optimization, design, efficiency, lightweight design.
Automated Baby Stroller Using IOT
Authors:   Information Technology &Sipna College of Engineering, Nasare Chetan
Published: April 2024

The Automated Baby Stroller is an Internet of Things (IoT) based project that incorporates sensors and hardware integrated with ESP 8266. One of the key modules of this project is "Fingerprint Authentication for Authorized Handler of Baby Stroller", which aims to provide enhanced security for the baby stroller. The handlers of the stroller need to authenticate themselves through fingerprint recognition in order to unlock the wheels of the stroller. If the handler fails to authenticate, an alarm is raised. Additionally, the stroller is equipped with a sensor that detects obstacle the way. In this work, we provide a brief overview of the design and working of a prototype of the Smart Baby Stroller with fingerprint authentication and sensing features. Key Words: Baby Stroller, Automated Baby Stroller, IoT, Fingerprint Authentication, Authorized Handler, ESP 8266, Security, Sensor, Prototype.
Fake Job Detection Using Machine Learning
Authors:   Student, Department of Computer Science and Engineering, Tirumala Engineering College, Rupasri Arikatla
Published: April 2024

The research suggests using machine learning classification methods to identify and prevent fake job postings online. Nowadays, many companies prefer to advertise their job vacancies on the internet for easy access by job seekers. However, there are scammers who trick people into paying for non-existent jobs. Through data analysis and machine learning, we can distinguish between legitimate and fake job postings. Various algorithms are utilized to detect fraudulent posts and protect job seekers from falling victim to scams. The system is designed to teach the model how to distinguish between real and fake job listings using past data on fraudulent and legitimate job postings. Initially, supervised learning algorithms like classification techniques can be used to tackle the problem of identifying scammers in job ads. It will utilize multiple machine learning algorithms and choose the one with the best accuracy in predicting if a job posting is legitimate or not. Key Words: Fraud Job, Job Seeker, Machine Learning, Internet Recruitment, Classification
HEART RATE MONITORING SYSTEM
Authors: S Prof. Sandhya
Published: April 2024

The Heart Rate Monitoring System is designed to provide an efficient solution for monitoring and analyzing heart rate data. This system offers a reliable and accessible means of tracking an individual's heart rate in real-time. One of the significant parameters under consideration is the heart rate data. The Heart Rate Monitoring System combines IoT technology and Artificial Intelligence to empower individuals with the tools to monitor and analyze irregularities in heart health. The system integrates Arduino as a microcontroller, enabling seamless data collection and analysis while ensuring compatibility with a wide range of devices and applications. By incorporating age and gender considerations, the system can classify heart rate data to individual characteristics, enhancing the accuracy of its assessments. The system utilizes diverse datasets derived from real-time activities such as running, walking, and other activities that may lead to irregularities in heart rate. The system employs decision tree algorithms to classify heart rate samples, facilitating the identification of abnormal heart rate patterns. This system not only provides continuous monitoring but also enables users to access and interpret their heart rate data conveniently. Key Words: NodeMCU, Pulse Sensor, Arduino.
SAFEGUARDING FORENSIC EVIDENCE USING BLOCKCHAIN TECHNOLOGY
Authors:   Student, Computer Engineering, Sinhgad Academy Of Engineering, Kondhwa, Pune, Maharashtra, India., D.L. Prof. Falak
Published: April 2024

Digital evidence is important when investigating cybercrime because it can be used to link criminal s to victims. As digital evidence passes through various stages of the chain of custody during a criminal investigation, ensuring its integrity, authenticity and investigation is crucial. A security certificate is required to ensure that the data containing the evidence remains secure during and after processing. The system called Digital Threat Investigator developed in this project is built on Hyperledger Fabric, a permissioned network that requires the permission of all users. Access control, channel authorization and participant configuration are very important in order to effectively solve the privacy and confidentiality problem. Blockchain can also be used to store and distribute valuable information. The raw forensic data is fragmented, stored in the cloud and linked to the blockchain in Digit al Threat Investigator, and the usage history of the raw data is also stored in the blockchain. These t wo processes are integrated to ensure scalability and traceability of data entry. Programming is done using WordPress, HTML, CSS and PHP. The results of the experiment show that latency continously decreases as the number of nodes in the blockchain decreases. The results show that the time increases from 150ms to 353ms as the number of nodes increases from 1 to 8. The system has proven to be a useful tool to assist digital forensics and ensure the security of forensic evidence. Key Words: Blockchain, Cyber Crime, Information Security, proof of concept, blockchain technology; Ethereum.
Online Job Portal
Authors:   MCA Department, Trinity Academy of Engineering, Pune, Sonawaner Nupur
Published: April 2024

This investigation paper looks at the rise and advancement of online work entries and their noteworthy effect on the business scene. With the expansion of web utilization all-inclusive, online work entries have gotten to be instrumental in interfacing work searchers with bosses, streamlining the enlistment handle, and encouraging the coordination between ability and openings. The paper investigates the history, usefulness, and key highlights of online work entries, as well as their part in tending to different challenges in conventional work strategies. Besides, it dives into the innovative headway and developments driving the ceaseless advancement of these stages, such as manufactured insights, machine learning, and information analytic. Also, the paper examines the benefits and downsides related to online work entrances from both work seekers' and employers' viewpoints, along with future patterns and potential headings for inquiries about and advancement in this field. Key Words: online work entrances, business, enrollments, innovation, manufactured insights, machine learning, information analytic, work searchers, managers, patterns.
Home Automation Using Raspberry Pico Through Voice Control
Authors:   Guru Nanak Institute of Technology, Hyderabad, Reddy, Mrs. Jayasudha
Published: April 2024

Wireless Voice-Controlled Automation of the Home Based on internet, Bluetooth, and wi-fi, this project integrates a mobile phone (application) with an integrated system to provide the elderly and disabled with the ability to fully control their home utilities using voice commands on their phone. The non-technical individual will find it easy to carry, install, configure, run, and maintain this device due to its design. Connecting specific electrical equipment that are used in a home is known as home automation. Keywords- Raspberry, Micro controller.
Depression Analysis Using Face Recognition System
Authors:   Dept of MCA-Trinity Academy of Engineering, Pune, India, Dalbhanjan Siddharth
Published: April 2024

Stress is a part of life it is an unpleasant state of emotional arousal that people experience in situations like working for long hours in front of a computer. Computers have become a way of life, much life is spent on computers and hence we are therefore more affected by the ups and downs that they cause us. One cannot just completely avoid their work on computers but one can at least control his/her usage when being alarmed about him being stressed at a certain point of time. Monitoring the emotional status of a person who is working in front of a computer for a longer duration is crucial for the safety of a person. In this work, a real-time non-intrusive videos are captured, which detects the emotional status of a person by analyzing the facial expression. In each frame of the video, we identify a distinct emotion and assess stress levels over consecutive hours of captured footage. Our approach involves employing a methodology enabling model training and analysis of predictive variances. Utilizing Theano, a Python framework, we enhance both execution and development times for the linear regression model, serving as the deep learning algorithm in this context. Experimental findings indicate that our system effectively performs across diverse age groups with a generic model.
Cyberbullying and Fake Account Detection on Social Media Using Machine Learning and NLP
Authors:   Cyber Security & Raghu Engineering College, Reddy B.Amarnath
Published: April 2024

Now a days the use of social media has grown exponentially with the simultaneous growth of the internet throughout the world and it is mostly attracted by the youth. However, the enhancement of social connectivity by using this social media platform may also lead to a negative impact on society mainly cybercrime, cyberbullying, abuse, etc. This cyberbullying is a major problem in this society which leads to frequent physical and mental stress, particularly for teenagers, transgenders, and women. Cyberbullying is done by using comments on social media platforms commenting vulgar words and also due to the increase of user’s various malicious entities like increasing fake accounts increased a lot. Detection of cyberbullying and fake accounts on such large platforms is very difficult and may sometimes lead to false detection. So many incidents have recently occurred throughout the world like suicides, mental illness, etc. So our goal is to identify bullying comments and fake accounts on social media platforms like Facebook, Twitter, etc. By merging natural language processing and machine learning algorithms like xgboost(extreme gradient boosting) to detect fake accounts and logistic regression for cyberbullying. Key Words: Cyberbullying, Natural language processing, Machine learning, xgboost(extreme gradient boosting), logistic regression, Random forest, etc.
Design and Simulation of a Switched Reluctance Motor Using Sensorless Control System
Authors:   Department of Electrical Engineering KDK College of Engineering, Nagpur, India, K. M Asst.Prof..Dhenge
Published: April 2024

This paper mainly introduces the acquisition of the position information of the switched reluctance motor through the inductance, which can make the switched reluctance motor (SRM) correct commutation. The main method is to apply high-frequency and low-duty pulse voltages to the two non-conducting phases of the switched reluctance motor when the motor is in low-speed operation, so that the non-conducting phase generates a response current through the rising slope of the response current The current change rate is obtained by the difference with the falling slope, and then the current change rate is converted into inductance through a formula, and whether the inductance reaches the inductance threshold is judged whether it reaches the commutation position, and the motor is subjected to timely and accurate commutation processing. This method is realized by MATLAB/Simulink simulation, and combined with the high-speed inductance method obtained by the flux ratio current, to realize the position sensorless technology combined with the inductance method in the full speed cycle, and the simulation verifies that the low-speed and high-speed algorithms can be smooth Switch, and can realize its commutation control function, and It provides simulation support for applications such as lawn mower. Top of Form Keywords— Switched reluctance motor, Inductance, Pulse injection, No position sensor etc.
Smart Agriculture System for Animal Detection and Automated Irrigation Control Using IR Camera, Raspberry PI and Sensor Integration
Authors:   Sai Rajeswari Institute of Technology, Proddatur, S . Md. Jakheer
Published: April 2024

The primary objectives are to detect animals in the agricultural fields using AI-based image recognition, and to automate irrigation based on soil moisture levels and ambient temperature. this smart agriculture system enhances farm productivity by combining AI-based animal detection with automated irrigation control. The integration of cutting-edge technologies facilitates precision farming, leading to improved crop yields, reduced resource wastage, and increased overall sustainability in agriculture.
Blood Donation System using Geo-Tracking and Machine Learning: A Comprehensive Survey
Authors:   Department of Computer Engineering, PVPIT, Sable Sumit Shriram
Published: April 2024

This survey addresses blood donation by making use of advanced technologies to make the process easy and efficient. It emphasizes the importance of tailored systems and highlights successful studies implementing innovative solutions. Incorporating various technologies like Geographical Tracking and Machine Learning, the project explores various prediction algorithms and libraries used to build an efficient, innovative, and easy-to-use solution. It recommends using APIs, Java, and Python libraries for enhancing system functionality. The survey aims to help select the appropriate tools and technologies for building an app for a blood donation management system, that would be easy to use, scalable, and utilize upcoming modern technology to its fullest. Key Words: API, Java, Python, Geo-Tracking, Machine Learning, Deep Learning, Maps
A Study on Adoption Intention of Customers towards AI Chatbots in Banking Industry
Authors:   Mittal School of Business, Lovely Professional University, Punjab (India)
Published: April 2024

The groundwork for comprehending the important connection between client adoption of AI chatbots and their effects on the Indian banking sector is laid forth in the introduction chapter. It outlines the importance of this research project by filling in gaps in the body of knowledge and presents the research questions, aims, and methods, giving a brief synopsis of the main points and purposes of the study. The adoption of AI chatbots in India's banking sector is examined in the literature review, which follows the technology's development from simple AI-driven interactions to sophisticated customer support. Novel solutions are put out in response to issues like regulatory compliance and customer trust. Future directions in AI chatbot technology are explored, including individualized services and platform-neutral integration. The major investigation described in the article was motivated by the review's identification of a critical gap in thorough and quantitative research. According to the report, consumers in India are depending more and more on AI chatbots to handle a variety of financial operations, as the technology gains traction in the country's banking sector. It is believed that integrating AI chatbots will improve customer service and operational effectiveness in a proactive manner. Furthermore, traditional banking services' main problems—like lengthy wait times and restricted availability—may be solved by AI chatbots. Customers' ongoing concerns about data security and privacy, however, underscore the necessity for banks to put strong security measures and open data policies in place. The study's conclusion emphasizes how crucial it is to comprehend how Indian banks want to use AI chatbots in terms of client uptake. This research adds to a more thorough knowledge of the role of AI chatbots in changing the banking landscape by filling in gaps in the literature and offering insights into customer perceptions and behaviors. In order to successfully encourage the adoption of AI chatbots among Indian clients, banks will need to concentrate on fostering trust, improving security protocols, and providing customized experiences going forward.
UNALTERED: A FILE INTEGRATION MANAGEMENT SYSTEM
Authors:   Student Cyber Security Engineering, Shah and Anchor Kutchhi Engineering College, Mumbai, Maharashtra, India, Gupta Manoj Ramashish
Published: April 2024

In today's interconnected world, where digital data underpins nearly every aspect of modern life, ensuring the integrity and security of files is paramount. This abstract provides a concise yet comprehensive overview of the multifaceted domain of file integrity and security. File integrity is the assurance that data remains unchanged and reliable, essential for maintaining trust and accountability. However, achieving and maintaining file integrity poses numerous challenges, including the ever-evolving threat landscape, complex IT infrastructures, and regulatory compliance mandates. To address these challenges, organizations employ a variety of strategies and technologies. Encryption, access controls, and digital signatures are deployed to protect files from unauthorized access and tampering, while file integrity monitoring (FIM) solutions continuously scrutinize files for any alterations. Moreover, robust security policies, employee training programs, and incident response plans are integral components of a proactive approach to file integrity and security. By fostering a culture of security awareness and investing in advanced technologies, organizations can effectively mitigate risks and safeguard their digital assets. Keywords: Encryption, Fostering, Integrity, Monitoring, tampering, Unauthorized.
REMOVAL OF LEAD FROM WATER BY USING ADSORPTION
Authors: shree A.M.Yuvajey
Published: April 2024

Adsorption is an effective method in treating heavy metals of wastewater. The presence of high dissolved lead (Pb) concentration in water and can cause health problems for long-term exposure to these heavy metals. This study investigates eggshell, pomegranate peel and orange peel as an alternative adsorbent. The effects of contact time, initial metal concentration and adsorbent dosage were studied in batch experiments. Overall, the findings suggest that eggshell, pomegranate peel, and orange peel are promising low-cost and eco-friendly adsorbents for the removal of lead from contaminated water sources. The removal percentage of lead observed was 99.05% from eggshell, 99.01% from pomegranate peel and 99% from orange peel. The result shows that more than 90% removal of Pb occurred at optimum contact hours of 40 minutes for eggshell, 70 minutes for pomegranate peel and 80 minutes for orange peel and optimum initial concentration was 4 ppm for eggshell, 4 ppm for pomegranate peel and 6 ppm for orange peel Pb removal. Design using response surface methodology was carried out in this work. The RSM modelling was found to be successful in predicting the removal efficiency with R2 greater than 0.90. Key words: Adsorption, Eggshell, Pomegranate peel, Orange peel and Heavy metal removal.