bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessment Solutions to Cyber Security Challenges for Saudi Smart Cities from the Point of View of Specialists
Authors: Alotaibi Fahd , Al-Barhamtoshy Hassanin , Kateb Faris , Mosli Rayan
Published: April 2024

Cybersecurity is one of the main pillars of Saudi smart cities, according to the Kingdom's Vision 2030. Therefore, the research sought to assess the appropriateness of some legislative, educational, and ethical solutions in facing cybersecurity challenges that threaten the security of smart cities from the perspective of specialists. The research aimed to identify these challenges, indicate the proposed solutions to confront them, evaluate them from the viewpoint of specialists, and contribute to facing them by proposing an educational project in this field. The research followed an analytical descriptive approach, as a questionnaire was prepared to identify the evaluative opinions of the legislative, educational, and ethical solutions to face cyber challenges threatening the security of smart cities from the specialists' point of view. It was distributed to a sample of 40 faculty members, 25 males and 15 females. The evaluation results showed the appropriateness of the solutions with a relative average of 95.77%, and the percentage of ethical solutions was 96.0%. This was followed by educational solutions with a percentage of 95.92%, then legislative solutions with a percentage of 95.3%. Regarding the procedural contribution to facing these challenges, 13 procedural recommendations were presented, and an executive framework for a proposed educational project was developed in accordance with the directions of the strategic vision of King Abdulaziz University and the Vision of the Kingdom of Saudi Arabia for 2030.
The Relative Contribution of Cognitive Flexibility to Predicting Moral Intelligence Among Faculty Members
Authors: ALbarjas Khawlah
Published: April 2024

The current study aimed to investigate the relative contribution of cognitive flexibility in predicting moral intelligence among faculty members at Al Jouf University and to examine the difference in cognitive flexibility and moral intelligence based on gender and academic experience. Two scales were developed to measure cognitive flexibility and moral intelligence, and their psychometric properties were confirmed. A stratified random sample of 125 faculty members was selected. The results indicated a high level of cognitive flexibility and moral intelligence in both the total score and dimensions. The dimensions of cognitive flexibility contributed to predicting 25% of moral intelligence. Additionally, cognitive flexibility was found to be higher among female faculty members than among male faculty members, while there were no significant differences in moral intelligence based on gender. Moreover, there were no statistically significant differences in cognitive flexibility and moral intelligence among faculty members based on academic experience. Based on the results, the study concluded with several recommendations, the most important of which was utilizing the predictive ability of cognitive flexibility dimensions to enhance moral intelligence among faculty members.
The Effectiveness of a Remote Training Program Based on the Integrated (STEM) Approach to Develop the Professional Efficiency of Female Science Teachers at the Intermediate Stage
Authors: Khayri Maryam
Published: April 2024

The aim of the research is to determine the professional competencies that a science teacher must possess to teach in the light of the integrated (STEM) approach, and to build a proposed distance training program to develop these professional competencies. Subsequently, the impact of the proposed remote training program based on the integrated (STEM) approach in developing the professional competence of science teachers was studied. The research sample consisted of a random selection of 24 female teachers from various educational departments in the Kingdom of Saudi Arabia. In light of the (STEM) framework and its evaluation, the proposed training program was constructed, evaluated, and the research tool, the professional competency note card, was developed. Its evaluation included arbitration and the calculation of its honesty, stability, and internal consistency. This process was applied before the remote training program's implementation and afterward on the research group. The researcher concluded that the training program had a positive impact on the development of professional competence among the members of the research sample. The effect size of the training program on professional competence was 4.9, indicating a high impact. The percentage of female teachers who achieved a level of professional competence reached 90% or more for the dimensional measurement (52.2%) of the total sample. In light of these results, recommendations were made.
Challenges Faced in Distance Learning by Palestinian University Students during the COVID-19 Pandemic: A Student Perspective Study at An-Najah National University and Palestinian Technical University (Khadoury)
Authors: Dabous Mohammad , Swidan Rajaa
Published: April 2024

This study aimed to explore the challenges faced by Palestinian university students during distance learning in light of the COVID-19 pandemic from the student's perspective. To achieve this goal, the two researchers utilized a questionnaire consisting of 43 items distributed across three domains of challenges (academic, technical, and behavioral). The study was conducted on a random sample comprising 182 students (both male and female) from both universities. The research identified the most crucial challenges faced by university students during the pandemic, which include academic, technical, and behavioral challenges. The study revealed statistically significant differences, at the (α=0.05) significance level, in the degree of challenges faced by university students during distance learning amidst the COVID-19 pandemic, as perceived by the students. These differences were attributed to the variable of gender, favoring females, the university variable, favoring Palestinian Technical University, the academic level variable, favoring diploma students, and the college variable, favoring scientific colleges. In light of the study's results, the researchers have provided a set of recommendations.
The Effectiveness of a Counseling Program Based on Humane Therapy in Developing Gratitude and Hope among Postgraduate Students
Authors: AlAnazy Mariam
Published: April 2024

The current study aimed to verify the effectiveness of a counseling program based on humane therapy in developing gratitude and hope among postgraduate students and to identify the extent to which members of the experimental group retained improvement in gratitude and hope in the long term. Psychometric validity and reliability were assessed, and the study was applied to a sample consisting of 18 female postgraduate students at Al-Jouf University. They were distributed into two groups: an experimental group, comprising 9 students on whom the counseling program was applied, and a control group, comprising 9 female students, who did not receive any counseling intervention. The counseling program was implemented for a month and a half. The results indicated the effectiveness of the program in developing gratitude and hope among the members of the experimental group compared to the control group. Furthermore, it was found that the members of the experimental group retained the effect of gratitude and hope in the long term. Based on the results of the study, the researcher formulated some recommendations, including the need to utilize the program for the developmental aspect to enhance postgraduate students' preparation for life appropriately.
Scoping Review: Implementasi Water Accounting Di Indonesia
Authors: Maleimau Aishita Fioriglesia , Fahrizal Akbar , Firmansyah Amrie
Published: April 2024

Pengelolaan air di Indonesia masih menghadapi beberapa permasalahan seperti belum optimalnya sistem pengelolaan sumber daya air yang mengakibatkan pemanfaatan air belum efektif. Salah satu strategi untuk mengatasinya adalah dengan menerapkan water accounting. Namun, implementasi  water accounting  di Indonesia masih belum diimplementasikan secara luas dan ketersediaan literatur pendukung juga masih terbatas.  Penelitian ini bertujuan untuk mengulas implementasi water accounting di Indonesia. Metode yang digunakan dalam penelitian ini adalah scoping review. Adapun data penelitian ini  menggunakan literatur-literatur terdahulu sebagai dasar analisis. Hasil penelitian menemukan bahwa dalam kurun waktu 20 tahun terakhir implementasi water accounting masih sangat terbatas. Berdasarkan pemetaan penelitian yang telah dilakukan, hanya terdapat 12 artikel yang membahas implementasi water accounting di Indonesia secara spesifik pada sektor tertentu, seperti sektor publik (BUMD), dan sektor swasta (pertanian, pertambangan, niaga). Penelitian ini berkontribusi sebagai literatur pendukung water accounting di Indonesia. Selain itu,  penelitian ini diharapkan dapat digunakan oleh pembuat kebijakan untuk merumuskan kebijakan pengelolaan air.
Penerapan Hukum Islam Dalam Sistem Peradilan Di Negara Kuwait
Authors: Zarli Hikmatur Ridha
Published: April 2024

Penelitian ini menjelaskan sejarah negara Kuwait, sistem hukumnya dan Peradilan Agama Kuwait yang tujuannya untuk mengetahui bagaimana pelaksanaan Peradilan Agama didalam sistem hukum campur yang dimiliki oleh Negara Kuwait. Penelitian ini menggunakan metode penelitian pustaka. Hasil penelitian menunjukkan bahwa sistem pemerintahan Kuwait adalah Monarki Konstitusional sistem pemerintahan yang dipimpin oleh seorang sultan atau raja (Kuwait menyebutnya Emir), yang dipilih seumur hidup oleh anggota keluarganya. Sistem hukumnya menggabungkan hukum sipil Inggris Raya, hukum sipil Perancis, dan hukum sipil Mesir. Peradilan Kuwait tidak mengikuti prinsip syariah sepenuhnya. Namun, pengadilan syariah, yang berasal dari al-Quran dan hanya berlaku bagi orang-orang yang beragama Islam, dapat menangani masalah hukum keluarga.
Hukum Persaingan Usaha Perusahaan Luar Di Daerah Lampung
Authors: Pratama Adam Syafi
Published: April 2024

Penelitian ini mengkaji aspek hukum persaingan usaha perusahaan luar di Daerah Lampung. Tujuan utama penelitian ini adalah untuk menganalisis dampak kehadiran perusahaan luar terhadap persaingan usaha lokal dan implikasinya terhadap ekonomi daerah. Metode penelitian ini mencakup analisis peraturan hukum terkait persaingan usaha, survei terhadap pelaku usaha lokal, dan studi kasus terhadap perusahaan-perusahaan luar yang beroperasi di daerah tersebut. Hasil penelitian menunjukkan bahwa kehadiran perusahaan luar memberikan dampak signifikan terhadap dinamika persaingan usaha lokal. Meskipun membawa manfaat ekonomi tertentu, adanya perusahaan luar juga menimbulkan tantangan bagi pelaku usaha lokal dalam hal inovasi, daya saing, dan keberlanjutan usaha. Selain itu, penelitian ini mengidentifikasi beberapa kebijakan hukum yang dapat diperkuat untuk menjaga keseimbangan antara investasi perusahaan luar dan perlindungan kepentingan pelaku usaha lokal. Studi ini memberikan kontribusi pada pemahaman lebih lanjut tentang dinamika persaingan usaha di Daerah Lampung dan memberikan rekomendasi kebijakan yang dapat mendukung pengembangan ekonomi daerah secara berkelanjutan. Implikasi penelitian ini dapat digunakan sebagai dasar bagi pembuat kebijakan, akademisi, dan pelaku usaha dalam merancang strategi dan regulasi yang mendukung keberlanjutan pertumbuhan ekonomi daerah.
Evaluasi Laporan Keberlanjutan Sektor Perbankan Atas Standar Global Rerporting Initiative (GRI) 200: Pendekatan Analisis Konten
Authors: Juliyanto Dwi , Chaerani Eva Yunadia , Firmansyah Amrie
Published: April 2024

Isu berkelanjutan semakin marak digaungkan di seluruh dunia. Terkait dengan hal tersebut, aktivitas ekonomi yang dilakukan oleh berbagai organisasi perlu mempertimbangkan dampak lingkungan maupun sosial yang dihasilkan. Global Reporting Initiative (GRI) Standar 200 mencakup kerangka kerja yang digunakan perusahaan dalam melaporkan kinerja ekonomi dari perusahaan termasuk kaitannya dengan pembangunan berkelanjutan. Penelitian ini bertujuan untuk menganalisis konten-konten dalam laporan keberlanjutan perusahaan yang terkait dengan pengungkapan GRI 200 kinerja ekonomi. Penelitian ini menggunakan data berupa laporan keberlanjutan pada lima perusahaan sektor perbankan tahun 2022. Penelitian ini menggunakan pendekatan kualitatif dengan metode analisis berupa analisis konten. Secara umum, seluruh perusahaan yang dijadikan sampel telah menyajikan pengungkapan terkait GRI 200 kinerja keuangan. Namun demikian, tidak semua item pengungkapan yang ada dalam standar GRI 200 diungkapkan oleh perusahaan. Perusahaan maupun OJK selaku pembuat kebijakan pada sektor perbankan perlu lebih memfokuskan pada penerapan standar GRI agar laporan keberlanjutan dapat lebih berguna bagi pembaca dan pemangku kepentingan.
Pengaruh Price To Book Value (PBV) Dan Net Profit Margin (NPM) Terhadap Harga Saham Pada PT. Mayora Indah, Tbk
Authors: Anjeliana Desinta Dwi
Published: April 2024

Penelitian ini bertujuan untuk memahami dan menganalisis Price To Book Value (PBV), Net Profit Margin (NPM) dan Harga Saham PT. Mayora Indah, Tbk dan pengaruh Price To Book Value (PBV) dan Net Profit Margin (NPM) pada harga saham di PT. Mayora Indah, Tbk. Prosedur pencarian yang digunakan dalam pencarian ini adalah analisis deskriptif dengan pendekatan studi kasus. Data dokumentasi diperlukan dalam penelitian ini sekunder yang berisi pergerakan keuangan historis perusahaan. Data sekunder dalam penelitian ini adalah data yang berasal dari data yang dipublikasikan di Bursa Efek Indonesia (PT.BEI). Data dan informasi diperoleh dari hasil penelitian ini dianalisis dengan menggunakan analisis regresi berganda. Berdasarkan hasil survey, Price To Book Value (PBV) dan Net Profit Margin (NPM) memiliki dampak pada waktu yang sama penting untuk harga saham Price To Book Value (PBV) dan Net Provit Margin (NPM) memiliki pengaruh penting untuk harga saham, namun dampaknya tidak signifikan.
Determinan Produk Domestik Regional Bruto Provinsi Riau: Analisis Deret Waktu
Authors: Gharin Marlev A
Published: April 2024

Riau Province is the largest center of palm oil industry in Indonesia, with Crude Palm Oil (CPO) production contributing approximately 19 to 22 percent to the national output during the period of 2017-2021. The processing industry and the agricultural sector have managed to shift the dominance of the mining sector, contributing 28.08 and 26.83 percent, respectively, to the Regional Gross Domestic Product (PDRB) of Riau in the year 2021. This research aims to investigate the influence of the number of palm oil mills (PKS), plantation area (LUAS), and production quantity (PROD) on the Regional Gross Domestic Product (PDRB) of Riau Province. These factors were analyzed using time series data from 2008 to 2021, employing the STATA 17 application with multiple linear regression methods. Based on the regression analysis results, it was found that only the LUAS variable has a significant positive impact, while the PKS and PROD variables have a non-significant negative impact on the GDP, with slope coefficients of -0.034 for the PKS variable, 1.285 for the LUAS variable, and -0.04 for the PROD variable. However, the government is expected to optimize the value-added in processing and plantation production industries to have a positive impact on the improvement of the local economy.
Provinsi Riau merupakan sentra industri kelapa sawit terbesar di Indonesia dengan produksi Crude Palm Oil (CPO) berkisar antara 19 hingga 22 persen kontribusi nasional selama periode 2017-2021. Industri pengolahan dan sektor pertanian mampu menggeser dominasi sektor pertambangan dengan kontribusi mencapai 28,08 dan 26,83 persen terhadap Produk Domestik Regional Bruto (PDRB) Riau Tahun 2021. Penelitian ini bertujuan untuk menyelidiki pengaruh jumlah pabrik kelapa sawit (PKS), luas perkebunan (LUAS), dan jumlah produksi (PROD) terhadap Produk Domestik Regional Bruto (PDRB) Provinsi Riau. Faktor-faktor tersebut dianalisis menggunakan data time series periode 2008-2021 menggunakan aplikasi STATA 17 dengan metode regresi linear berganda. Berdasarkan hasil analisis regresi, ditemukan bahwa hanya variabel LUAS yang berpengaruh signifikan positif sedangkan variabel PKS dan PROD berpengaruh tidak signifikan negatif terhadap PDRB dengan koefisien kemiringan sebesar -0,034 untuk variabel PKS, sebesar 1,285 untuk variabel LUAS, dan sebesar -0,04 untuk variabel PROD. Untuk itu, Pemerintah diharapkan untuk melakukan optimalisasi nilai tambah pada industri pengolahan dan produksi perkebunan agar dapat berdampak pada peningkatan perekonomian daerah.
Blockchain Based Atonomys De-Centralised Online Social Network
Authors:   Sanketika Vidya Parishad Engineering College, Visakhapatnam, India, Sumanth Adimulam
Published: April 2024

Online social networks (OSNs) have become integral to daily life, yet the prevalent centralized model of these platforms presents considerable challenges in terms of security, privacy, and management. In response to these concerns, a decentralized architecture underpinned by blockchain technology emerges as a promising solution. This paper delves into the development of an OSN service leveraging blockchain technology to facilitate decentralized operation, thereby addressing the aforementioned issues. Through the utilization of the Interplanetary Filesystem (IPFS), large volumes of low-security data are effectively decentralized, contributing to enhanced data integrity and accessibility. Furthermore, the establishment of a decentralized autonomous organization empowers users with greater autonomy, enabling democratic self-governance of the OSN. This innovative approach not only addresses existing shortcomings but also paves the way for a more resilient, transparent, and user-centric social networking paradigm.
CHAT GPT ASSISTANT
Authors:   Anjuman Islam Abdul Razzak Kalsekar Polytechnic, Raees Shaikh Areeba
Published: April 2024

The capacity of ChatGPT, a cutting-edge conversational AI model, to produce text responses that resemble those of a human being in a range of conversational contexts has attracted a lot of attention. By using extensive pretraining on a variety of textual data, ChatGPT generates discourse with impressive fluency and coherence, opening up new possibilities for improving human-computer interaction. In this study, we give a thorough analysis of ChatGPT's capabilities and constraints, examining how well it generates interesting and natural-sounding discussions. We explore several facets of ChatGPT's dialogue production through empirical evaluation and qualitative analysis, such as its flexibility across domains, responsiveness to input cues, and propensity to produce a range of contextually relevant and varied responses. Additionally, we look at methods for adjusting ChatGPT to certain conversational tasks and evaluate how different training regimens affect its Index Terms Data Collection and Preprocessing, Machine Learning Models based, Prediction and Visualization, Real-time Update.
Inventory Management in Pharmaceutical Industry
Authors:   Dept of MCA, Trinity Academy of Engineering, Pune, India, Kakade Saurabh Laxman
Published: April 2024

This research paper explores the intricacies of managing inventories of medicines in the pharmaceutical industry, focusing on meeting the healthcare needs of both humans and animals. Through a comprehensive review of existing literature and analysis of real-world case studies, this paper identifies key challenges, strategies, and best practices associated with pharmaceutical inventory management. The literature review reveals the complexities of inventory management in the pharmaceutical sector, including demand variability, regulatory compliance, and the need for precise temperature control for perishable medicines. Strategies such as economic order quantity (EOQ) and just-in-time (JIT) inventory management are discussed for managing normal inventories, while specialized approaches like cold chain management are highlighted for managing perishable inventories. Technological innovations, such as RFID technology and predictive analytics, are recognized for their potential to enhance inventory visibility and mitigate supply chain risks. Case studies provide valuable insights into successful inventory management practices within the pharmaceutical industry. Examples demonstrate the importance of collaboration among stakeholders, investment in advanced inventory management systems, and adherence to regulatory compliance measures. Furthermore, case studies underscore the significance of maintaining optimal inventory levels, minimizing stockouts, and ensuring medication safety and efficacy. This research paper contributes to the ongoing discourse on pharmaceutical supply chain optimization, patient-centric care delivery, and the pursuit of sustainable healthcare solutions. By synthesizing insights from literature and real-world examples, stakeholders can develop strategies to address challenges, enhance inventory management practices, and improve patient outcomes in the pharmaceutical industry. KEYWORDS Pharmaceutical Inventory Management, Medicine Inventory Control, Perishable Inventory, Normal Inventory, Supply Chain Optimization, Regulatory Compliance, Demand Variability, Cold Chain Management, RFID Technology, Patient Safety, Supply Chain Efficiency, Case Study Analysis, Healthcare Logistics, Sustainable Healthcare Solutions.
CulinsaryNebula : Aimed at Revolutionizing the Food Ordering Experience through the Development of a Dynamic Web Application
Authors:   Trinity Academy Of Engineering, Gajare ,Pratiksha
Published: April 2024

CulinaryNebula is a new project that combines the world of gastronomy and virtual reality (VR) to create culinary experiences. In this digital world, users begin to navigate the food scene and discover unique foods, cultural cuisines, and cooking techniques from around the world. The project aims to change the way people interact with food by using VR technology to guide users through a visual experience. A stunning, interactive cooking universe. By combining visuals, realistic simulations and recommendations, CulinaryNebula offers users the opportunity to explore recipes, experiment with ingredients and learn from culinary experts. Keywords: FoodVirtual Reality (VR),Exploratory Cooking,Immersive Experiences, Global Cuisine
Investigating Natural Frequencies for Enhanced Towable Vehicle Performance
Authors: Mandal Raju ,
Published: April 2024

The recreational vehicle (RV) industry has witnessed remarkable growth, particularly in North America, establishing itself as a rapidly expanding sector. RVs, equipped with essential amenities, exemplify adaptability and mobility, categorized into those with integrated driving capabilities and those designed exclusively for towing. In the cold Northern American climate, towable RVs predominantly integrate wooden components, leveraging the material's advantages to enhance overall efficiency. However, the introduction of wood brings challenges, notably in structural dynamics, leading to vibrations during travel. These vibrations pose potential impacts on user comfort, appliance lifespan, and mounting strength, necessitating a comprehensive investigation into the vibration characteristics of towable RVs. This paper focuses on the primary objective of conducting an exhaustive natural frequency (modal) analysis of foundational towable RVs using the finite element method (FEA). Following this, experimental modal analysis will be performed, and the results correlated with FEA findings. The ultimate aim is to propose and implement targeted modifications, utilizing Finite Element Analysis (FEA), to enhance the natural frequencies of towable RVs. This research endeavors to significantly improve both the longevity and overall user experience associated with these vehicles, thereby contributing valuable insights to the evolving landscape of RV design and construction. This research paper presents an in-depth investigation into the dynamic characteristics, specifically the natural frequency, of recreational towable vehicles through a comprehensive analysis utilizing Computer Aided Engineering (CAE) and Experimental Analysis. The study explores various mode shapes and elucidates their significance in understanding the vehicle's dynamic behavior. Furthermore, it conducts a comparative analysis of the natural frequencies of recreational towable vehicles against those of other common towable units. The paper delves into the Finite Element Analysis methodology employed in the study, shedding light on the intricacies of the analytical process. Beyond providing a comparative analysis, the research extends its scope to propose enhancements aimed at refining the dynamic characteristics of towable vehicles. The findings and recommendations contribute to advancing the understanding and optimization of the performance of recreational towable vehicles. Index Terms- CAE, FEA, Modal Analysis, Towable
Disabling Camera Features in Mobile Phone in Restricted Zones
Authors:   Dept of MCA-Trinity Academy of Engineering, Pune, India, Gaonkar Mr. Omkar
Published: April 2024

An application to provide a system that is effective in its objective of reducing the vulnerable camera component access inside the restricted environment. The proposed system effectively adds up to the mobile device management principles and serves the purpose of completely automated security for mobile device.
“Amazon Clone”
Authors:   Dept of MCA, Trinity Academy of Engineering, Pune, India, Kamble Mr. Pandurang D.
Published: April 2024

Amazon, the world's largest online retailer, has continually evolved to meet the changing needs and expectations of consumers. In the wake of the digital age, where convenience and personalization reign supreme, Amazon is poised to embark on its next transformative journey - Amazon 2.0. At the core of Amazon 2.0 lies a commitment to innovation and personalization. Leveraging advanced machine learning algorithms and big data analytics, Amazon aims to create a hyper-personalized shopping experience for each user. By analyzing past purchase behavior, browsing history, and demographic information, Amazon can deliver tailored product recommendations that resonate with individual preferences, leading to increased customer satisfaction and loyalty. Furthermore, Amazon 2.0 seeks to redefine the boundaries of convenience through seamless integration of emerging technologies. From voice-activated shopping assistants to drone delivery services, Amazon is at the forefront of revolutionizing the e-commerce landscape. By embracing cutting-edge technology, Amazon aims to streamline the shopping experience, making it faster, easier, and more intuitive for users worldwide. In addition to enhancing the consumer experience, Amazon 2.0 places a strong emphasis on sustainability and social responsibility. Through initiatives such as Amazon's Climate Pledge and commitment to renewable energy, Amazon is working towards a more sustainable future while also giving back to the communities it serves. In summary, Amazon 2.0 represents a bold new chapter in the company's storied history. By embracing innovation, personalization, and sustainability, Amazon is poised to redefine the e-commerce experience and set new standards of excellence for the industry as a whole. Keyword: Amazon Shopping, Retailer, Sales, Purchase
Design and Development of Drivetrain for Rear Independent Drive Electric Four-Wheeler
Authors:   Assistant Professor, Mechanical Engineering & Bannari Amman Institute of Technology, KN Mr. Karthick
Published: April 2024

This study presents the intricacies of designing and developing a drivetrain tailored specifically for a rear independent drive electric four- wheeler. The project addresses the challenges of achieving equitable power distribution to the drive wheels without a conventional differential unit. Through meticulous selection of components, CAD modeling, simulation, and analysis, the drivetrain's performance characteristics are thoroughly examined. A chain drive system with mid shafts is proposed as a solution, promising seamless power transmission while considering factors such as cost, complexity, and performance. This research contributes to advancing electric vehicle technology by providing insights into drivetrain optimization for rear independent drive configurations. The development journey begins with a meticulous analysis of drivetrain requirements, encompassing factors such as vehicle weight, cost considerations, and complexity. By carefully balancing these requirements, a design framework is established to guide component selection and system integration. The chosen drivetrain architecture incorporates a chain drive system with mid shafts, strategically positioned to facilitate seamless power transfer from the electric motor to the individual drive wheels. Central to the design process is the utilization of CAD modeling techniques, which provide a detailed visualization of the drivetrain components and their spatial relationships. CAD models serve as a virtual blueprint, enabling engineers to iterate rapidly and refine the design iteratively. Through simulation and analysis using MATLAB/Simulink, the performance characteristics of the drivetrain are evaluated under various operating conditions. This includes assessing torque distribution, efficiency, thermal management, and dynamic response to dynamic loads and driving scenarios. The adoption of a rear independent drive configuration introduces complexities in power distribution, necessitating innovative control strategies to ensure optimal performance. Furthermore, consideration is given to the integration of regenerative braking systems to maximize energy efficiency and extend the vehicle's range. By leveraging innovative design methodologies, advanced simulation techniques, and collaborative interdisciplinary efforts, this project aims to push the boundaries of drivetrain technology and accelerate the adoption of electric vehicles in the automotive industry. Keywords: Powertrain, Drivetrain, Electric four-wheeler, CAD, MATLAB, CAE
A Study on Customer Satisfaction in Homefirst Finance
Authors:   M. Kumarasamy College of Engineering, Karur,TamilNadu,India, K Anbarasu
Published: April 2024

This research work titled “A study on Customer Satisfaction in HomeFirst Finance”, was done with the main objective to study on Factors influencing the Customer Satisfaction and to know the customer needs and preferences inorder to assess the customer satisfaction levels. To provide the suggestion for the organization in Customer Satisfaction at HomeFirst Finance. It is descriptive research design. The Primary data has been used to collect data with the help of Questionnaire. The sample size is 120. Tools used in this study is Correlation and Chi square. The major findings are the majority 75% of the respondents are the current customers of the HomeFirst Finance company. The majority 52.5% of the customers are very satisfied with the company services. The suggestions for the betterment of the company is provide the customer feedback collection to create new customer and to retain the existing customers from the competitors. Providing a positive experience for customers can lead to long-term relationships and increased business success for lenders in the competitive home loan market. Create a supportive and inclusive workplace culture where everyone feels valued. Keywords: Factors Influencing customer satisfaction, customer loyalty, retention, growth opportunities, working environment, customer service.
A Study on the Effectiveness of Staffing in E-Recruitment with Special Reference to Careernet Technologies
Authors:   M. Kumarasamy College of Engineering, Karur,TamilNadu,India, R M Sivaranjani
Published: April 2024

This research work titled “A study on the Effectiveness of Staffing in E-Recruitment with special reference to Careernet Technologies”, was done with the main objective to study on Factors influencing staffing process in E-recruitment and to know the candidates needs and preferences inorder to assess their satisfaction levels. To provide the suggestion for the organization in evaluation of the effectiveness in E-Recruitment in terms of time & cost efficiency comparison to staffing methods. It is descriptive research design. The Primary data has been used to collect data with the help of Questionnaire. The sample size is 120. Tools used in this study is Correlation and Chi square. The major findings are the majority 56.7% of the respondents are Post Graduates. The majority 54.2% of the respondents enrolled that staffing helps to fill the vacant positions with appropriate candidates. The suggestions for the betterment of the company is provide the candidate feedback collection to create new candidates and to retain the existing candidates from the competitors. The company should go for campus selection as it helps to get fresh candidates who contribute new and innovative ideas which increase the organization effectiveness. Providing a positive experience for candidates can lead to long-term relationships and increased business success for lenders in the competitive recruitment industry. Create a supportive and inclusive workplace culture where everyone feels valued. Keywords: Factors Influencing Staffing process, E-Recruitment, Retention, Growth opportunities, Working environment, Candidate management, Employee engagement.
Assessment of Large Span Multistory Building Using Various Slab Under Earthquake Response
Authors:   Assistant Prof. Department Of Civil Engineering, Oriental University, Indore, Chamelka Prakash
Published: April 2024

With the growing need for multistory buildings in a variety of industries, the need for novel structural solutions has become critical. This research looks at the structural behaviour of wide span structures, with an emphasis on the use of various slab forms to meet the problems provided by growing architectural trends. The study undertakes a detailed literature analysis, looking into the use of Grid Slabs, Flat Slabs, Waffle Slabs, and Ribbed Slabs alongside regular slabs to improve stiffness and load-carrying capability in large-span buildings. Architects are challenged to accommodate bigger spans while minimising the number of columns, which has led to the introduction of novel slab layouts. Grid Slabs, which have unique grid patterns, and well-established Flat Slabs are popular alternatives. The analysis of the literature reveals an increasing trend among academics who have effectively used various slab designs to meet the issues given by long spans. The findings provide architects, structural engineers, and construction industry stakeholders significant insights into the performance features and advantages associated with each slab type. This study adds to the continuing discussion about optimising structural designs for large-span structures to meet the changing demands of current construction practises. The complete analysis is a helpful resource for professionals involved in multistory building design and construction, assisting in informed decision-making and supporting developments in the field.
Chatbots: A Comprehensive Review of Functionality and Development
Authors:   Computer Science and Engineering Chandigarh University  Mohali, India, Kumar Sheetesh
Published: April 2024

Chatbots are electronic gadgets that respond according to the preferences of the user. It’s widely used by people to get our questions addressed. A chatbot is a piece of software that uses technology to converse with users in their own language. It’s also a sophisticated system that can answer your question right away from anywhere at any time. These days, the technology’s responsive interface is the main reason why so many firms employ it. This paper presents the technology of chatbots and then provides an overview of the results. Chatbot technology is based on artificial intelligence (AI) and natural language processing (NL). We are highlighting the challenges and limitations of the ongoing work and making some suggestions for improvements or additional research. Index Terms—chatbot, chat script, conversational modeling, machine learning, artificial intelligence (AI), natural language processing (NLP), and technology. Chatbots are electronic gadgets that respond according to the preferences of the user. It’s widely used by people to get our questions addressed. A chatbot is a piece of software that uses technology to converse with users in their own language. It’s also a sophisticated system that can answer your question right away from anywhere at any time. These days, the technology’s responsive interface is the main reason why so many firms employ it. This paper presents the technology of chatbots and then provides an overview of the results. Chatbot technology is based on artificial intelligence (AI) and natural language processing (NL). We are highlighting the challenges and limitations of the ongoing work and making some suggestions for improvements or additional research. Index Terms—chatbot, chat script, conversational modeling, machine learning, artificial intelligence (AI), natural language processing (NLP), and technology. Chatbots are electronic gadgets that respond according to the preferences of the user. It’s widely used by people to get our questions addressed. A chatbot is a piece of software that uses technology to converse with users in their own language. It’s also a sophisticated system that can answer your question right away from anywhere at any time. These days, the technology’s responsive interface is the main reason why so many firms employ it. This paper presents the technology of chatbots and then provides an overview of the results. Chatbot technology is based on artificial intelligence (AI) and natural language processing (NL). We are highlighting the challenges and limitations of the ongoing work and making some suggestions for improvements or additional research. Index Terms—chatbot, chat script, conversational modeling, machine learning, artificial intelligence (AI), natural language processing (NLP), and technology.
Automated Detection of Leukemia and Counting RBCs Using Image Processing Technique
Authors:   Jawaharlal Darda Institute of Engineering and Technology, Yavatmal, Maharashtra, India, Wadi Vaishnavi
Published: April 2024

A form of cancer known as leukemia affects the bone marrow, which makes an excessive number of aberrant white blood cells (or WBCs) that are not functioning normally. The leukemia diagnosis is typically done by a trained expert who visually observes unique features and determines the type of cancer. This paper presents a system that can automatically detect leukemia in microscopic images of blood and classify them as normal or abnormal (with leukemia). By using models that can discriminate between red blood cells and other cellular components, which have been trained on annotated datasets, the method reduces false positives and increases diagnosis accuracy. There are several benefits to the automated red blood cell counting technique described in this study, including speed, precision, and repeatability. This technology advances hematological diagnostics by using machine learning and image processing to enable faster and more accurate blood cell analysis in clinical and research contexts. Keywords: Image processing; Segmentation; Red Blood cells; RBC count.
Entrepreneurial Intention among Higher-level Students of Koshi Province, Nepal
Authors:   Janta Multiple Campus, Itahari, Sunsari, Nepal, Pyakure Indra Prasad
Published: April 2024

This study aims to explore the perception of entrepreneurship among higher- level students of Koshi province, Nepal. The study employed the theory of planned behavior (TPB) as a theoretical background to understand the personal attitudes, perceived behavioral control, and subjective norms of students towards entrepreneurship. The study has based on a sample of 318 higher-level students of Koshi Province, Nepal. The study applied a quantitative method with the analysis of a partial least square-structural equation model (PLS-SEM) to test the hypotheses by SmartPLS 4. The findings of the study have shown that personal attitudes, perceived behavioral control, and subjective norms have a significant effect on the entrepreneurial intention of higher-level students. Similarly, this study found a significant positive relationship between subjective norms and personal attitudes and perceived behavioral control. Moreover, this study revealed that subjective norm have a moderate effect on entrepreneurial intention through personal attitude and perceived behavioral control. These results should serve as a guide for future theoretical and empirical development, and put existing study outcomes into perspective. Keywords: theory of planned behavior, entrepreneurial intention, personal attitude, subjective norms, perceived behavioral control
Real Time Face Mask Detection with TensorFlow and Python
Authors:   Electronics and Telecommunication Engineering SAE, P.G. Prof. Patil
Published: April 2024

The COVID-19 pandemic has driven the development of real-time face mask detection systems. This project details a system built with TensorFlow and Python for this purpose. It involves three steps: data collection, model training, and real-time detection. First, a dataset of labeled images (masked/unmasked faces) is prepared. Then, a Convolutional Neural Network (CNN) is trained using TensorFlow and Keras to classify faces. Transfer learning can be used for improved performance. Finally, the trained model is integrated with OpenCV for real-time video processing. Faces are identified in each frame, and the model predicts if a mask is worn. This information can be used for alerts or notifications, promoting mask compliance in public spaces like airports, schools, and public transport. This versatile system offers applications in public health and security, leveraging TensorFlow's deep learning and Python's real-time processing capabilities for disease control and public safety. Key Words: Real-time face mask detection, Convolutional Neural Network (CNN), TensorFlow & Keras, Transfer learning
Survey Paper on Skin Disease Prediction using Dynamic Testing in Deep Learning
Authors:   KVN Naik Loknete Gopinathji Munde College of   Engineering And Research, Nashik, Sonawane, Mr. Sairaj Somnath
Published: April 2024

Skin diseases are prevalent worldwide, affecting millions of people and often presenting diagnostic challenges due to their diverse manifestations. Deep learning techniques have shown promise in automating the diagnosis of skin diseases, leveraging large datasets and powerful computational methods. However, the performance of existing models may vary depending on factors such as dataset quality, model architecture, and feature extraction methods Key Words: Convolution neural network, combined decision, deep learning, skin cancer.
SMART MIRROR USING RASPBERRY
Authors:   Department of Electronics & Telecommunication,  Priyadarshini College of Engineering, Nagpur, India, Dandhare Harshak
Published: April 2024

The project shows the design of a smart device-Smart Mirror. The smart mirror here is mainly for home environment. These smart mirrors are not widely used due to cost or high requirements of hardware. The proposed smart mirror will be operated by Raspberry Pi and will be connected by real world through internet. The smart mirror will consist Raspberry-Pi, LED monitor, speakers, microphone with two-way mirror and acrylic glass. With the help of voice recognition API the mirror will communicate with the user through voice commands and responds them accordingly. The mirror will highlight some basic amenities like time, local news, weather, etc. The mirror will also perform some advance function such as Home Automation using Smart Mirror. This mirror with artificial intelligence will provide an extraordinary experience to the user.
Full Stack Web Development: Vision, Challenges and Future Scope
Authors: Iqbal Kashif
Published: April 2024

This paper presents a comprehensive overview of various facets of full stack web development. Rapidly emerging as a pivotal branch within the Computer Science and Engineering sector, full stack web development represents a significant stride towards shaping the future of the IT industry. Full stack developers play a central role in managing both the back-end and front-end development of websites and web applications. Their responsibilities span across data management, client interactions, system engineering, and design. The demand for full stack developers remains robust owing to their versatile skill set and adeptness in web development, consequently commanding high remuneration compared to other professions. Full stack developers primarily operate within the web stack, native application stack, or mobile stack domains. Given their involvement in both server-side and client-side development, full stack developers assume leadership in project management, ensuring cohesive coordination and monitoring project progression. Keywords: Full stack web development, Front-end, Back-end, Programming, Server-side, Client-side, Development, ETC.
T49 Style Stock Prediction
Authors:   Dept of MCA-Trinity Academy of Engineering, Pune, India, Dange Tejas
Published: April 2024

Stock market prediction has long been a pursuit of investors seeking to gain insights into the future trajectory of stock prices. Traditionally, analysts relied on fundamental analysis, technical indicators, and market sentiment to forecast stock movements. However, with the advent of machine learning (ML) and artificial intelligence (AI), predictive analytics in the stock market has seen a significant shift. ML algorithms offer the advantage of processing vast amounts of data and identifying complex patterns that might elude human analysts. In the context of stock market prediction, these algorithms can analyze historical stock prices, trading volumes, market indices, news sentiment, and various other factors to generate forecasts. One notable trend in this domain is the utilization of current stock market indices as input features for ML models. By training on historical data of these indices and their corresponding effects on individual stock prices, algorithms can learn to make predictions based on the current state of the market. One common approach is to use techniques like regression, time series analysis, or deep learning models such as recurrent neural networks (RNNs) and long short-term memory networks (LSTMs). These models can capture temporal dependencies and nonlinear relationships in the data, allowing for more accurate predictions. Additionally, ensemble methods like random forests or gradient boosting can be employed to combine the strengths of multiple models for enhanced forecasting performance. Keywords: Stock market prediction,, financial stocks, stock market indices
HUMAN POSE ESTIMATION
Authors: R Jayasri
Published: April 2024

In "Human Pose Estimation" with integrated feedback mechanisms to assess and guide users in achieving correct poses. Utilizing advanced deep learning techniques in computer vision, the system swiftly detects key points on the human body and provides instant feedback on pose accuracy. Built on convolutional neural networks trained on extensive pose datasets, the system includes pose detection, classification, and feedback stages. By comparing detected poses with predefined correct poses, the system delivers positive feedback for accurate poses and corrective guidance for deviations. Key Words: Human Pose Estimation, Pose Detection, Pose Classification, Correct Pose Assessment, Fitness Training, Key Points Detection, Correct Pose Thresholds