bluuebunny/crossref_metadata_2025 huggingface dataset:
Digital payments Impact on Indian Economy through Banking systems & Global Comparisons
Authors: Khan Raguel
Published: May 2024

India’s financial sector has witnessed a significant digital transformation, particularly in the realm of payments. The shift towards digital payment systems has reshaped transactional practices and contributed to financial inclusion. The adoption of digital payment systems like UPI and e-wallets has led to a surge in online transaction volumes, indicating a gradual move towards a cashless economy. Government initiatives and the COVID-19 pandemic have played crucial roles in promoting digital payments. However, challenges remain in achieving complete financial inclusion with approximately 190 million unbanked adults in India. Fintech companies are addressing this by providing a wide range of financial services and utilizing alternative data sources to evaluate creditworthiness. The key factors driving the adoption of digital payments in India include increased awareness, favorable government policies, quick onboarding and ease of use, smartphone proliferation and internet expansion, regulatory support, and improved technology. These factors, coupled with the enabling role of various entities and technologies, are shaping the future of digital payments in India. The rapid growth of digital payment systems, driven by a combination of technological advancements, government initiatives, and changing consumer preferences, is revolutionizing the financial landscape. As the fintech sector continues to evolve, it promises to bring about further innovations, making financial services more accessible and inclusive. The journey towards a digital economy is well underway, and with continued efforts, India is poised to emerge as a global leader in digital payments. The impact of this digital revolution extends beyond the financial sector, influencing various aspects of the economy and society, and paving the way for a more inclusive and efficient future.
A study of facilities offered by various Aqua Tourism Destinations in Nagpur City
Authors:   (BHMCT), Khode Prof. Sanket
Published: May 2024

Nagpur is also popularly called the Orange City; it is the second largest city in Maharashtra. Aqua tourism destinations in Nagpur are one that features water play areas, such as swimming pools, water slides, splash pads, spray grounds (water playgrounds), lazy rivers, or other recreational bathing, swimming, and bare footing environments. Their demand has increased due to facilities that offer indoor/outdoor attractions and amusements. Visitors to a water park will travel up to 25% of the time they plan to spend at the water park. The young and pre-teen age groups are the target market for water parks. The study has been conducted through observation method concerning directly with the objective of the study which was a unique experience of sailing or cruising to explore destinations of water tourism in Nagpur city. This descriptive research is done through SWOT analysis that is analysing and determining their Strength, Weakness, Opportunities and Treats. The conclusion of the study the key success of the aqua tourism destinations are its safety and security appeal for a family vacation. These destinations may also need to be equipped with some type of artificial surfing or boarding environment such as a wave pool flow rider. It is a facility for enjoying a pool and related water features, and it is sometimes referred to as a leisure space with various recreational facilities. This growth might bringthe First, they offer a relatively high level of safety and security that appeal to guests for aquatic recreation. Second, take advantage of their primary appeal to children and teens. Water parks are increasing their appeal to the aging baby-boomer generation by not only providing entertainment options for children and grandchildren, but by providing older adults with access to hydrotherapy, aquatic fitness, and spa services. The key success of the aqua tourism destinations are its safety and security appeal for a family vacation. Keywords: Tourism, Aqua-Tourism Destination, SWOT-Analysis, Water park, Boarding environment, Recreational facilities.
StudyNotion - An Edtech Website
Authors:   Computer Science and Engineering Chandigarh University,  Punjab, India, Chaurasiya, Pranav
Published: May 2024

In an era defined by rapid technological advancement, education stands as a crucial arena ripe for transformation. Our Edtech website emerges as a beacon of innovation, aiming to revolutionize traditional learning paradigms through the seamless integration of cutting-edge technology. With a multifaceted approach, our platform offers a comprehensive suite of tools and resources tailored to meet the diverse needs of students, educators, and institutions alike. At the heart of our platform lies a commitment to accessibility and inclusivity, ensuring that learning opportunities transcend geographical boundaries and socioeconomic barriers. Through interactive modules, engaging content, and personalized learning pathways, we empower learners to cultivate their intellectual curiosity and unlock their full potential. For educators, our platform serves as a dynamic hub for professional development, fostering collaboration, and knowledge sharing within a vibrant community of practice. From virtual classrooms to collaborative project management tools, we provide the scaffolding necessary to facilitate effective teaching in the digital age.Furthermore, our platform harnesses the power of data analytics and artificial intelligence to deliver actionable insights and personalized recommendations, facilitating data-driven decision-making and enhancing learning outcomes. In essence, our Edtech website represents more than just a digital learning platform; it embodies a vision for the future of education—one where technology serves as a catalyst for empowerment, innovation, and lifelong learning. Join us on this transformative journey as we redefine the possibilities of education in the 21st century and beyond. This abstract succinctly captures the essence of the Edtech website, highlighting its goals, features, and the transformative potential it holds for education.The abstract for the Edtech Website project encapsulates the endeavor to create an innovative educational platform tailored for diverse learners. This project aims to develop a user-friendly website offering interactive learning resources, personalized study tools, and collaborative features. Key objectives include providing seamless navigation, curating diverse educational content, implementing adaptive learning algorithms, and fostering real-time collaboration among students and educators. Emphasizing scalability, compatibility, and security, the website seeks to empower learners globally with accessible, engaging, and personalized learning experiences, ultimately fostering academic excellence and lifelong learning opportunities.
E-VAHAN CHARGING STATION
Authors:   Department of Electronics and Communication Engineering,  Buddha Institute of Technology, Gida, Gorakhpur, UP, India, Swarnkar Amritansh
Published: May 2024

In a technological world where both pollution and population increase every day, electric vehicles play a key role in saving energy and reducing carbon dioxide emissions and harmful greenhouse gasses in transportation. Rapid changes are occurring in the electrical industry. Rising energy prices, mass electrification of everyday life, and global warming are the main factors determining the speed with which such changes occur. In response to the growing demand for sustainable transportation solutions and the urgent need to reduce carbon dioxide emissions, the concept of the E-Vahan Charging Station emerged as a pioneering initiative. This innovative project seeks to harness the abundant renewable energy resources of solar and wind power to revolutionize the way electric vehicles (EVs) are charged. As the world transitions towards a greener future, this charging station represents a crucial step in promoting clean and Eco-conscious mobility. Index Terms: Electrification, Harness, Pioneering, Initiative, Crucial, Eco-conscious, E-Vahan Charging Station, etc.
MODELLING AND 3D-PRINTING OF 4-WHEELER MUFFLER (SILENCER)
Authors:   Assistant Professor, Department of Mechanical Engineering, GNITC, Hyderabad, Telangana., Banothu Haji
Published: May 2024

The primary function of an automobile muffler is to reduce engine noise by dampening the sound produced by the combustion process as it passes through the exhaust system. Mufflers are engineered to meet specific targets for noise reduction and backpressure. Modern exhaust systems are designed to minimize noise and emissions while maximizing durability, safety, flow rates, and cost-effectiveness. Attributes such as vibration, acoustics, thermal distribution, durability, flow, power loss, and integration with the vehicle are also considered in exhaust system design. 3D printing, a form of additive manufacturing, builds three-dimensional objects by depositing successive layers of material. It offers advantages such as speed, affordability, and ease of use compared to other additive manufacturing technologies. The term "3D printing" is increasingly used to encompass all additive manufacturing processes. Its value has been steadily increasing across various sectors, including manufacturing and defense, due to its costeffectiveness, efficiency, and user friendliness. Keywords: Muffler, Noise, 3D Printing, Rapid Prototyping, Design
A STUDY ON CUSTOMER SATISFACTION OF SMALL CARS WITH SPECIAL REFERENCE TO MARUTI SUZUKI PVT. LTD GREATER NOIDA
Authors:   TUSHAR  School of Business,  Galgotias University, KAUR DR ARVINDER
Published: May 2024

This study delves at the levels of customer satisfaction linked to compact cars, with a specific emphasis on Maruti Suzuki vehicles. In developing economies, little automobiles make up a sizable portion of the market. The varied offerings of market leader Maruti Suzuki meet the demands of a wide range of consumers. In order to gauge client happiness, the study makes use of quantitative and qualitative techniques. Quantitative information is derived from surveys administered to customers who own Maruti Suzuki small cars. The satisfaction levels are measured across various dimensions, including performance, design, comfort, and after-sale care. Nuanced understanding of consumer perceptions and preferences is provided by qualitative insights generated from in-depth interviews and focus groups. Key factors of consumer happiness are revealed by the data, which also identify areas of potential improvement and areas where Maruti Suzuki shines. Customers are most impacted by factors like price, fuel efficiency, reliability, and brand reputation when it comes to their overall pleasure. Also, to help with targeted marketing, the study looks at how demographic and psychographic aspects affect satisfaction levels. Keywords:- Maruti Suzuki, Customer Satisfaction, Greater Noida
Automated Stand-Alone Bot for Intruder Detection
Authors:   Department Of E&TC , Shrimati. Kashibai Navle College of Engineering, Vadgaon BK, Pune, Butale Mohit
Published: May 2024

The Automated Standalone Bot for Intruder Detection System represents a cutting-edge approach to bolstering security measures through the deployment of an intelligent surveillance system. By harnessing sophisticated computer vision techniques, this system is capable of vigilantly monitoring its surroundings and swiftly identifying potential security threats with remarkable accuracy. Through continuous real-time analysis of video feeds and the application of advanced image processing algorithms, the bot can promptly detect any unauthorized individuals or suspicious activities within its designated area of coverage. Upon detecting a potential intruder, the system initiates an immediate response protocol, which may include activating alarms, notifying security personnel, or implementing deterrent measures to deter any further intrusion attempts. What sets this system apart is its ability to continually refine its intruder detection capabilities over time, leveraging machine learning algorithms to adapt to evolving threats and minimize false positives. Moreover, the system demonstrates remarkable discernment by distinguishing between human subjects, animals, and other objects, thereby reducing the occurrence of false alarms and enhancing its overall reliability. This comprehensive approach not only fortifies security measures but also instills a greater sense of confidence in the system's ability to safeguard the premises effectively. Key Words: Automated Standalone Bot, Intruder Detection System, Security Measures, Intelligent System, Computer Vision Techniques, Surveillance, Real-time Analysis, Video Feeds, Image Processing Algorithms, Swift Detection, Unauthorized Individuals, Suspicious Activities, Response Protocol, Alarms, Notification, Deterrent Measures, Machine Learning Algorithms, Adaptation, False Positives, Reliability, Human Subjects, Animals, False Alarms, Premises Security
E-COMMERCE IN INTERNATIONAL BUSINESS
Authors:   Galgotias University, YOUNUS WAQUAR
Published: May 2024

Opportunities abound for divers in the global economic arena, but maintaining a steady footing can be difficult. While combining IB with e-commerce will certainly make things more complicated, it will also make trade easier and eliminate a lot of other problems. The free flow of goods, services, and ideas has flourished as a result of the stronger bonds that have been forged between nations through international trade. Worldwide trade encompasses all economic activities that facilitate the exchange of products, services, people, ideas, and technology beyond national borders. Anything a business does inside its own country is considered to be part of its internal operations. International commerce refers to the purchasing and selling of products and services across international borders, whereas international businesses are those that participate in this activity. Such trade procedures can be owned by a private company or the state. Furthermore, the national economy remains stable. A dangerous country can overcome any obstacle. The strategic planning of a multinational firm should be based on the resources, goals, and objectives of the company. Keywords: International business, e-commerce integration, cross-border trade, rapid development, global relationships, flow of goods and services, cross-border allocation, internal business operations, international commerce, economic stability, strategic development.
“THE IMPACT OF AI-POWERED PREDICTIVE MAINTENANCE ON INDUSTRIAL EQUIPMENT
Authors:   SCHOOL OF BUSINESS GALGOTIAS UNIVERSITY, MANI AMAN
Published: May 2024

This research paper explores the impact of AI-powered predictive maintenance on industrial equipment. Predictive maintenance is crucial for minimizing downtime and optimizing asset performance. AI has made maintenance more proactive, efficient, and cost-effective. The paper reviews maintenance practices, the evolution of predictive techniques, and AI integration. Through literature review and case studies, it examines efficacy, challenges, and implications of AI-powered maintenance. Findings highlight benefits such as enhanced efficiency, cost reduction, and extended equipment lifespan. Challenges include data quality, model accuracy, and organizational readiness. The paper concludes with recommendations for practitioners and policymakers, emphasizing AI's potential to revolutionize maintenance and foster a sustainable future. Keywords: Predictive maintenance, AI-powered maintenance, Industrial equipment, Maintenance efficiency, Asset performance optimization, Data quality
Hydrogen as Potential Primary Energy Fuel for Municipal Solid Waste Incineration for a Sustainable Waste Management
Authors:   Assistant Professor, Department of Electronics and Communication, Dayananda Sagar Academy of Technology and Management, 560082, Bangalore, Karnataka, India, S Dr. Saranya
Published: May 2024

The control of municipal stable waste (MSW) has lengthy offered difficulties for the community. Affecting the sustainability of the environment. The expected reasons are rising earnings and population. The maximum superior and practicable technique for coping with municipal strong waste is incineration generation. The foundation of incinerator generation is the combustion of trash with the use of fossil fuels. Not handiest are these fuels strolling out day by day, however burning them poses a chance to the environment. The modern study appears into the viability of using hydrogen as the main gas for combustion within the incineration of municipal strong waste (MSW). It is now viable to run an incinerator of the vertical shaft type on natural hydrogen. Through specially made burners, a gasoline aggregate of hydrogen and oxygen in a stoichiometric ratio has been fed. The burners are made in this kind of manner as to offer uniform heat dispersion. In order to envision how the incinerator operates at the very best accredited moisture degree, more than a few Tests were carried out on both homogeneous and heterogeneous MSWs with excessive moisture possibilities ranging from 60 to 90%. It has been mentioned that the incineration reached a most temperature of 850C. There has been a important drop in weight percentage, 86–94%, and loss on ignition (1.74%–6.41%). For homogeneous paper and meals waste (1 kg), the hydrogenbased totally incinerator executed fine, accomplishing 60% and 87% of moisture content, in that order. The weight reduction become 97.14% and 88.88%, respectively, with energy expenditure of 108 Wh and 321 Wh. The efficiency of the hydrogen-based incinerator gadget decreases as the moisture content of the rubbish will increase. Keywords: Municipal waste management (MSW), hydrogen, incineration, fuel.
SOLAR BASED WHEEL CHAIR FOR DISABLED
Authors:   Sree Sowdambika college of Engineering, M Mr.Santhosh.
Published: May 2024

The Solar Based Wheelchair for Disabled (SBWCD) is a groundbreaking project aimed at enhancing mobility and independence for individuals with disabilities by harnessing the power of solar energy. Traditional wheelchairs often rely on manual propulsion or battery-powered motors, which can be limiting in terms of range, accessibility to charging stations, and environmental impact. In response to these challenges, the SBWCD project introduces a novel approach by integrating solar panels into the design of wheelchairs to harness solar energy and convert it into electrical power for propulsion. This innovative solution offers numerous benefits, including extended range, reduced reliance on grid electricity, and decreased carbon footprint. The SBWCD features a lightweight and durable frame equipped with high-efficiency solar panels mounted on the backrest and armrests, maximizing exposure to sunlight while maintaining user comfort and ergonomics. The solar panels are connected to an onboard battery system, which stores excess energy generated during daylight hours for use during periods of low sunlight or at night. This hybrid power system ensures continuous operation of the wheelchair regardless of environmental conditions, providing users with greater autonomy and freedom of movement. Moreover, the SBWCD is designed with user-centric features and accessibility in mind. Adjustable seating, armrests, and footrests accommodate users of varying sizes and preferences, while ergonomic controls and intuitive interfaces ensure ease of operation for individuals with limited mobility or dexterity. Additionally, safety features such as anti-tip mechanisms, seat belts, and obstacle detection systems enhance user confidence and mitigate risks associated with wheelchair use in diverse environments. In summary, the Solar Based Wheelchair for Disabled (SBWCD) project represents a significant advancement in assistive technology, offering a sustainable and user-friendly solution for individuals with disabilities. By harnessing the abundant and renewable energy of the sun, SBWCD empowers users to navigate their surroundings with greater independence, efficiency, and environmental consciousness. As the demand for accessible and eco-friendly mobility solutions continues to grow, the SBWCD project serves as a beacon of innovation and inclusivity in the field of assistive technology.
PHYSICAL AND BIOLOGICAL CHARACTERIZATION OF GRAPHENE OXIDE ADMIXED CONCRETE EXPOSED TO SEA ENVIRONMENT.
Authors:   CEPM -BSAU, HASEENA SHIEK
Published: May 2024

Dr. K. YOGESHWARI, PROFESSOR - BSAU
SIMULATION AND OPTIMIZATION MATERIAL OF WIND TURBINE BLADE PROFILES USING CATIA AND ANSYS,
Authors:   Avanthi Institute of Engineering and Technology, Tamaram, Narsipatnam, Anakapalli dist, Andhra pradesh, India, PRAKESH A. N S SURYA
Published: May 2024

I Wind energy is a fast-growing way to make power from wind, and it's good for the environment. Wind turbines have big blades that catch the wind to make electricity. This project is all about making those blades work better and cost less money. First, we use special computer programs called CATIA and ANSYS to design and test the blades. CATIA helps us design the shape and size of the blades, while ANSYS helps us see how strong they are and how well they catch the wind. We start by making different blade shapes in CATIA, changing things like length, width, and twist. Then we use ANSYS to test them. We look at things like how much stress they can handle, how much they bend, and how well they catch the wind. After testing, we try to make the blades even better. We use special tools in ANSYS and CATIA to find the best combination of blade features. We want blades that are super-efficient at catching wind, strong enough to last a long time, and don't cost too much to make. By varying material to blade profile checking strength and mode shapes for Aluminium, Carbon fibre and E glass epoxy Keywords: wind energy, Turbines, Wind blades, CATIA, ANSYS
Impact of LGBT Inclusive Branding Practices on Buying Intention amongst Gen Z Consumer
Authors:   LOVELY PROFESSIONAL UNIVERSITY, Ashish Amartya
Published: May 2024

The Rise of LGBTQ+ Inclusive Branding Practices: Inclusive branding practices have emerged as a pivotal strategy for marketers aiming to authentically represent and include diverse and marginalized communities in their advertising campaigns (McDonald et al., 2020; Licsandru & Cui, 2018). These practices go beyond mere tokenism or surface-level representation; they aim to foster societal inclusiveness, reduce prejudice, and potentially enhance consumers' brand attitudes by creating a more inclusive brand image (McDonald et al., 2020; Licsandru & Cui, 2018). The increasing visibility and acceptance of LGBTQ+ individuals in mainstream media have prompted brands to adopt LGBTQ+ inclusive strategies as a means to connect with a broader audience and reflect the diversity of their customer base (McDonald et al., 2020; Bond & Farrell, 2020).
DESIGN AND FABRICATION OF DRIVE SYSTEM OF A TELESCOPIC THREE WHEEL GO-KART
Authors: Mahesh G.
Published: May 2024

3 Wheel electric (battery powered) Go Kart is one of the less weight designs that consumes less energy and adds no pollution to the environment. As a part of our project dissertation, we are planning to fabricate drive system for telescopic 3-wheel go-kart.
Automatic Power Factor Correction
Authors: Bhagat, Mr. Prashant
Published: May 2024

With the mining industry moving from traditional manual methods to the advanced mechanised mining, the focus is also shifting to the energy efficiency of the equipment and system being employed. Most of the equipment used in mining like shovel, drill, elevator, continues miner, conveyor, pumps etc. runs on electricity. Electric energy being the only form of energy which can be easily converted to any other form plays a vital role for the growth of any industry. The Power Factor gives an idea about the efficiency of the system to do useful work out of the supplied electric power. A low value of power factor leads to increase is electric losses and also draws penalty by the utility. Significant savings in utility power costs can be realized by keeping up an average monthly power factor close to unity. To improve the power factor to desired level, reactive power compensators are used in the substations. The most common used device is capacitor bank which are switched on and off manually based on the requirement. If automatic switching can be employed for the correction devices, not only it will improve the response time but also removes any scope for error. The work carried out is concerned with developing power factor correction equipment based on embedded system which can automatically monitor the power factor in the mining electrical system and take care of the switching process to maintain a desired level of power factor which fulfils the standard norms. The Automatic Power Factor Correction (APFC) device developed is based on embedded system having 89S52 microcontroller at its core. The voltage and current signal from the system is sampled and taken as input to measure the power factor and if it falls short of the specified value by utility, then the device automatically switch on the capacitor banks to compensate for the reactive power. Keywords:- Automatic, Power factor, Single phase, Domestic, TRIAC, Capacitor Bank etc.
Centralized System for Monitoring Systems in Computer Laboratory
Authors: Bharadwaj B N Subrahmanya
Published: May 2024

The Centralized Monitoring and Control System (CMCS) is a Python-based framework designed to streamline re- mote administration through a centralized server (Mother Node) and client scripts. This system enables efficient management and monitoring of multiple remote clients, facilitating tasks such as compliance enforcement, system monitoring, and file transfer. Key features include persistent client connectivity, cross plat- form compatibility with CentOS 7 and Debian 9, compliance enforcement based on CIS benchmarks, Splunk integration for centralized log monitoring, and real-time system metric monitoring. The project encourages community contributions to enhance functionality, ensuring adaptability to diverse user requirements. Installation involves cloning the repository and configuring the server script, while client deployment includes editing IP and port settings for seamless connectivity. CMCS offers a comprehensive solution for administrators seeking to optimize remote administration workflows and enhance system security across distributed computing environments.
Enhancing Skin Cancer Detection Through Deep Learning Techniques
Authors: Kumar Mayank Sofiya Mujawar,,
Published: May 2024

Skin cancer is a common and possibly deadly disease that affects the skin's outer layers. Promoting knowledge of skin cancer, its risk factors, and the need for early detection can help combat the illness and reduce its impact on individuals and communities around the world. In this project, we describe a novel use of deep learning techniques to detect skin cancer in its early stages using dermatoscopic images. The primary goal of this study is to create an accurate and reliable model for predicting various types of skin cancer, including actinic keratoses and intraepithelial carcinoma (akiec), basal cell carcinoma (bcc), benign keratosis-like lesions (bkl), dermatofibroma (df), melanoma (mel), melanocytic nevi (nv), and pyogenic granulomas and hemorrhage (vasc). The project is written in Python, and the primary algorithm/model used is the Convolutional Neural Network (CNN) architecture. CNNs are ideal for image classification jobs because they can automatically learn relevant characteristics from input. Using CNNs, our model is trained on the HAM10000 (Human Against Machine with 10,000 training images) dataset, which contains 10015 high-resolution dermatoscopic images obtained from distinct populations and acquired via multiple modalities. The achieved findings illustrate the effectiveness of our proposed method. The model had an amazing training accuracy of 96.00% and a validation accuracy of 97.00%. These high accuracy rates demonstrate the promise of our deep learning-based skin cancer prediction system as a trustworthy tool for early diagnosis, allowing healthcare practitioners to make more informed decisions and improve patient outcomes. Our effort contributes to the field of dermatological research and machine learning, providing valuable insights into the use of deep learning algorithms for skin cancer prediction. Furthermore, the publicly available HAM10000 dataset, which includes a wide range of dermatoscopic pictures, can be a great resource for academic study and future advances in the field of medical image processing and classification. Key Words– benign, CNN, early detection, skin cancer, machine learning
Research Paper Summarization and Recommendation
Authors: Singh Shubham Kumar
Published: May 2024

The exponential growth of academic literature has made it increasingly challenging for researchers to keep up with the latest developments in their respective fields. This paper presents an approach for summarizing and recommending research papers to help researchers efficiently manage and navigate the vast amount of academic literature. We propose using a transformer-based model for generating abstractive summaries of research papers and a cosine similarity-based recommendation system for suggesting similar papers to a given paper. The proposed approach is evaluated on a dataset of research papers, and the results show that it is effective in generating coherent and concise summaries and recommending relevant research papers. The findings of this study have important implications for researchers and practitioners in the field of natural language processing and information retrieval.
Cyberbullying Detection and Prevention On Social Media
Authors: MR Madhusudhanam
Published: May 2024

Social media have become a very viable medium for communication, collaboration, exchange of information, knowledge, and ideas. However, due to anonymity preservation, the incidents of hate speech and cyberbullying have been diversified across the globe. Formulating solution strategies for automatic detection of cyber aggression and hate speech, varying from machine learning models with vast features to more complex deep neural network models and different social media platforms. To address this gap, we have performed extensive preprocessing for monitoring social media contents and in making cyberspace a secure and safer place for all segments of society. Index Terms—cyberbullying, cyber aggression, Social media
IoT CONTROLLED LED NOTICE BOARD
Authors: SAROJINI V.SAI
Published: May 2024

The IoT Controlled LED sign board design represents a slice- edge bid aimed at revolutionizing display results for a multitude of purposes including advertising, information dispersion, and aesthetic improvement. At its core, the sign board features an intricate array of LEDs strictly arranged in a grid pattern, each strictly orchestrated by a central microcontroller unit( MCU) harmoniously integrated with a Bluetooth module for flawless wireless communication. This community enables druggies to apply their smartphones or any Bluetooth- enabled bias as important remote controls, decreeing the content showcased on the LED board with unknown ease and perfection. Through a devoted mobile operation, druggies gain a gateway to a realm of creative expression, empowered to transmit a myriad of content types ranging from brief textbook dispatches to witching, robustness and images for immediate display. specially, the system's hallmark lies in its capability to grease real- time content operation, preventing the need for physical intervention and fostering dynamic rigidity to evolving demands and scripts. likewise, the mobile operation's robust point set extends beyond bare content transmission, offering sophisticated tools for communication scheduling and contemporaneous operation of multiple sign boards, thereby accelerating scalability and usability across different surroundings similar as bustling retail spaces, bulging transportation capitals, and bustling public spaces likewise. With its intimately designed interface and multifaceted functionality, the IoT Controlled LED sign board design emerges as a lamp of invention, promising to review the veritably geography of information dispersion and visual communication in the digital age. KEYWORDS: IoT Controlled LED subscribe Board, Microcontroller Unit( MCU), Wireless Communication, Mobile Application, Management, Remote Control.
Image Colorization Using Deep Learning
Authors: Krishna TNVSD.Murali
Published: May 2024

mage colorization using deep learning is a fascinating field that aims to add color to black and white images automatically. This project explores the use of advanced neural networks, specifically convolutional neural networks (CNNs), to achieve this task efficiently and accurately. By leveraging large datasets of color images paired with their black and white counterparts, the CNN learns to predict plausible colorizations for grayscale input images. The project demonstrates the effectiveness of deep learning techniques in recreating realistic colors while preserving the details of the original images. Through experimentation and evaluation, we showcase the potential of this approach in various applications, including historical photo restoration, artistic expression, and enhancing visual content in multimedia. Overall, this project contributes to the advancement of computer vision and image processing technologies, offering a powerful tool for enriching visual content effortlessly. Keywords: Image Colorization, Deep Learning, Convolutional Neural Networks, Generative
IOT Based Smart Bus Transportation
Authors: manjunath HK Mythreyi
Published: May 2024

The developed IoT-based smart bus health monitor- ing system is expected to bring back the neat service and safety of public transportation at the rate of modern technology that will keep the track of information regarding bus condition. ITS (Intelligent transport systems) are comprised of sensor technolo- gies and communication systems that connect on-board terminal, the vehicular systems, and ’fixed location systems. This modus operandi of ICT (f information and communication technologies ) also encompasses problems of rail, air, and water transport apart from road transport. IoT can be used to support the betterment of public transportation; hence, the transportation systems can become more receptive and more efficient. This entails the live tracking, amount analysis, and user friendly interfaces which helps the commuter to have trustworthy information along with a superior transportation experience. Index Terms—Telemetry, Emergency alarm, mpu6050,GPS sen- sor , Accelerometer, RFID card, Load sensor.
Histology of the digestive tract of the endangered Salmo obtusirostris (Teleostei: Salmonidae) from the Buna river (Neretva river basin, Bosnia and Herzegovina)
Authors:   Department of Biology, Faculty of Science and Education, University of Mostar, Mostar, Bosnia and Herzegovina, I Wolf Stefan , I Markotić ,   Department of Biology, Faculty of Science and Education, University of Mostar, Mostar, Bosnia and Herzegovina
Published: May 2024

Morphological and histological studies are very useful for the characterization of the digestive tract, which provides important information for understanding the feeding habits and digestive physiology of fish. This paper presents the results of research of the histological structure of the digestive system of the endemic fish Salmo obtusirostris (Heckel, 1851) from the Buna River (Neretva River basin, Bosnia and Herzegovina). According to IUCN Red List, S. obtusirostris is considered Endangered B2ab (v) ver. 3.1, with decreasing population trend throughout its distribution area. A specimen (TL = 265 mm, SL = 245 mm, m = 251.52 g) of the species S. obtusirostris was caught in the Buna River in May 2019. As the basic material, digestive tract of the above-mentioned species was used, divided into esophagus, stomach, pyloric appendages, intestine, as well as the digestive glands, the liver and the pancreas. By using basic histological techniques, microscopic preparations were made from the tissues. When studying the microscopic structure of the organs of the digestive system of S. obtusirostris, it was established that the majority basically consists of mucosa (tunica mucosa), submucosa (tunica submucosa), muscular layer (tunica muscularis) and outer layer (tunica serosa). The histological structure of the digestive system of S. obtusirostris Heckel, 1851 is consistent with its diet.
Driving Inertial Confinement Fusion With Strong Pulsed Magnetic Field
Authors: Wang Zhisheng , Yao Kexin
Published: May 2024

Regarding inertial confinement fusion (ICF), the current proposed driving energy sources are mainly laser beams or high-energy particle beams. This paper proposes a new method: Adopting a strong pulsed magnetic field as the driving energy source, explored its action principle, derived all relevant formulas, calculated an example and compared it with existing driving methods.The conclusion drawn is that this method can achieve high energy gain, the required equipment is relatively simple and without the disadvantages of other methods, making it a feasible method.
Comprehensive Bicubic Formalism of Ordinary and Novel (dm) Particles With Substituted Virtual Novel Electron Describing the Bohr Atom
Authors: Soln Josip
Published: May 2024

The particle limiting velocity solutions from the bicubic limiting velocity equation ( Soln, J., 2021.1.2, 2022) have been very useful in carrying out parallel studies of ordinary and novel particles. This study is facilitated with the help of evolutionary congruent parameters, ordinaryz1 ⪯ 1, novel z2 = 1/z1 ⪰ 1 and congruent phase-angle α ⪯ π/2. At smooth matching point z1 = z2 = 1 and α = π/2, there is no physical difference between an ordinary and novel particle as they have the same limiting velocities. At α = π/3 ≺ π/2, they have already different limiting velocities with different other physical characteristics. Ordinary photon γ and novel doubly photon γN are indistinguishable at α = π/2, while at α = π/3 ≺ π/2, they are already physically different. That applies to any other particle, ordinary proton p versus novel proton pN, etc. Through trial and error, one finds that c3 the ordinary particle limiting velocity solution has ratio value of 1 at the comprehensive congruent phase-angle αO = π/5.1 = 0.616 which an ordinary particle of velocity v can satisfy at v ≃ c3, in fact, defining the value of c3. The quantum jump from the ordinary particle comprehensive congruent phase-angle αO to the novel particle comprehensive congruent phase-angle αN = 2αO = 2π/5.1 = 1.232 yields novel particle limiting velocity solution doubly Rc1,3 with ratio value of 1 which a novel particle velocity vN can satisfy with doublyRc1,3 ≃ vN, simply defining the value of doubly Rc1,3. This comprehensive quantum jump with fixed comprehensive congruent phase-angles αO and αN apply to any free and interacting ordinary particle (γ, e, ν,etc.) when connecting to the corresponding free and interacting novel particle (γN, eN, νN, etc.). Concerning the Bohr’s atom, we wish to address the question of negative energy electron e emitting positive energy radiation. To this end we simply substitute e with the virtual novel electron eN with the same radius r and velocity v. This virtual eN, due to the Coulomb potential energy V from the sitting proton p plus the centrifugal force, with the quantized orbital virtual novel electron angular momentum yields the positive virtual novel electron energy in the bicubic formalism. The frequencies of emitted radiation from virtual novel electron is practically the same as from the negative energy electron e.
Simulation of Rainfall Attenuation Prediction Models for the Optimization of High-Speed Links in Millimeter Bands (80GHz): Tropical Regions’ Case
Authors: Bavoua Kenfack Patrick Dany , Abana Alphonse Binele , Tonye Emmanuel , Ngohe-Ekam Paul-Salomon , France Linjouom Samira , Louk Benjamin Tanga
Published: May 2024

We deal with the problem of attenuation of electromagnetic waves due to precipitation. Indeed, the millimeter wave frequency (30–300 GHz) is a promising candidate for broadband wireless networks (4G and beyond), but atmospheric elements limit radio links to this frequency band. Precipitation is the important atmospheric element that causes the attenuation of a wave during its propagation and should therefore be estimated for the proper functioning of a link. It is with this in mind that our study focuses on the choice of an appropriate model for predicting the attenuation of a radio link after simulation of several models proposed in the literature in order to assess the impact of precipitation in the tropical region. The method used to achieve this objective consists firstly of analysing existing models and determining theoretical and actual unavailability using ITU-R methods and the Nomad monitoring tool; then secondly, we develop an application to evaluate the attenuation due to rain using the Da Silva, Mello and ITU-R models. The calculated attenuations were compared to experimental measurements, and Da Silva's model was found to be the best fit. On a local level, these results have a significant impact on the planning and optimization of communications infrastructures, enabling better performance of networks using millimeter waves. At the national level, this contributes to improved telecommunications networks and more reliable connectivity. Globally, this research can aid the development of high-frequency wireless communications in tropical regions, thereby promoting large-scale technological and economic advancement.
Assessment of Morbidity Patterns and Occupational Hazards Among Food Handlers in Food Establishments in Tamilnadu, India
Authors: Priyadharshini P  , M Logaraj  , VV Anantharaman
Published: May 2024

Background: Rapid urbanization has increased the intake of external (outside) foods, causing a surge in food-borne diseases. In the South-East Asian region of the World Health Organization, 150 million people fall ill with foodborne diseases every year, of which, 1.75 lakhs perish. Occupational hazards are of public health importance as they cause permanent disability, loss of livelihood, and morbidity.
Methodology:  This cross-sectional study was conducted among 235 food handlers working in food establishments of a private educational institution in Tamil Nadu using a semi-structured pre-tested questionnaire. Descriptive statistics, odds ratio and one-way ANOVA were used. Occupational risk score was calculated. Data were analyzed using SPSS 22.0.
Results: The mean age of the food handlers was 30.7 (SD=10.3). Of the 235 participants, the majority were Males (86%). The commonest acute morbidity was Acid peptic disease (48.5%). Hypertension was reported in 26% of subjects. The most common occupational hazard was prickly heat (74.9% of the subjects). Work-related stress was reported by 72% of the food handlers. Physical hazards were high with a Mean value of 11.67 (SD=5.9)
Conclusion: Half the subjects reported Acid Peptic Disease as the most common morbidity. Burns at work and psycho-social issues were found at higher rates. Periodic deworming, vaccination against enteric organisms, routine examinations and ergonomically designed workplaces can prevent outbreaks and preserve workers’ health.
Population Based Electronic Surveillance Tool to Identify Risk Factors for Developing Cervical Cancer- A Study Protocol
Authors: CNV SAI Bharath  , Gupta Satish Kumar , KM Monirul Islam  , Joshi Ashish , Verma Garima , Verma Anjana , Akthar Nadeem
Published: May 2024

Background: Cervical cancer remains a significant global health concern, with well-established risk factors. Population-based electronic surveillance tools offer a promising avenue for identifying risk factors associated with cervical cancer development way before it becomes an actual concern for a woman. The objective of this study is to understand and to support the app- based decision-making tool for identifying risk factors of cervical cancer for the women between 30-60 years of age.
Method: The study will be conducted in the selected Sampoorna Non-Communicable Diseases (NCD) clinics at Lucknow, Uttar Pradesh (UP). A rigorous review of database was conducted to summarize the evidence on informatics available for early identification of cervical cancer app. An app-based decision- making tool will be developed to identify and detect the high- risk population developing cervical cancer. The app then will be shared with health workers at Sampoorna clinics and will be capacitated for using it to collect real time data.
Conclusion: The utilization of a population-based electronic surveillance tool will facilitate the identification of various risk factors contributing to cervical cancer development. The methodology process will help to comprehend the analysis providing the insights. This approach has the potential to enhance targeted interventions, public health policies, and personalized screening programs to mitigate the burden of cervical cancer. The objective of this paper is to understand and to support the design of dashboards for creating transparency and accountability.
Survival Analysis of Low-Birth-Weight Neonates in NICU At Dr. Wahidin Sudirohusodo Hospital Makassar, Indonesia
Authors: Razak Fajriana , Amiruddin Ridwan , Ansariadi Ansariadi , Abdullah Andi Zulkifli , Moedjiono Apik Indarty , Hasan Nurzakiah , Nurmala Dewi Rizki
Published: May 2024

Background: Currently, children face the highest risk of death during the neonatal phase. UNICEF data shows that in 2022, globally, approximately 2.3 million children died in the first month of life, accounting for about 6,400 neonatal deaths per day. The aim is determining the survival proportion of neonates, hazard ratios, and maternal factors influencing the survival of low-birth-weight neonates.
Methodology: A retrospective cohort study design using secondary data from 183 medical records of low-birth-weight neonates from 2020 to 2022. Kaplan-Meier analysis and life table were used to observe the time frame and survival proportion, as well as differences among independent variable groups. Cox regression analysis was conducted to estimate hazard ratios and the influence of independent variables.
Results: Gestational age (p=0.028, HR=2.7948, CI 95% = 1.1197-6.9757), ANC visits (p=0.000, HR=2.7057, CI 95% = 1.6320-4.4857), and maternal employment status (p=0.023, HR=2.6546, CI 95% = 1.1430-6.1651) are statistically significant variables that influence the survival of low-birth-weight neonates.
Conclusions: The survival proportion of low-birth-weight neonates is 60.80%. Gestational age, ANC visits, and maternal employment status significantly contribute to the survival of low-birth-weight neonates.