VOLUME 11, ISSUE 2, FEBRUARY 2024

Abstract: The Information Technology Act of 2000 contains no mention of intellectual property protection, despite the fact that infringement of intellectual property rights (IPRs) is one of the most difficult online issues. Just as there are instances of copyright and domain name infringement on the internet, the Trade Mark Act of 1999 and the Copy Right Act of 1957 remain silent on the matter and do not address it directly. The term "cyberlaw" refers to the collection of legal problems that arise when communication technologies, such as the internet, are used. These concerns include free speech, security, protected invention (mostly copyright and trademarks), and the appropriate role of location and expertise over online exchanges and interchanges. The persistent drive to implement present law has given rise to cyberlaw and Internet law. and acceptable guidelines to practise on the Internet. There is no universal, worldwide law that governs online activities, even though web addresses and content can originate and reside anywhere on the earth. When users of the Internet and the PC server that facilitates their communication are located in different countries, problems arising from that interaction typically include legal disputes. This is also evident when a website's contents are allowed in the country in which it is hosted but prohibited in a country that claims exclusive access to the website. Therefore, to understand the various aspects of cyber law, students interested in the subject should enrol in online and general IP courses as well as Conflicts of Law and Universal Law courses. valid structures that could manage this area.

Keywords: Software piracy, IPR, cyber space, infringement, punishments. Cyber law, Copyright infringement, Domain names, Cybersquatting, IPR issues & challenges involved.

Abstract: The overview of this project was to analyze the bus route network of Mysore city, to build existing bus route network for Mysore city and to provide revised bus route to improve efficiency of public transport system which was done by collecting the data from OSM(open street maps) and was analyzed in QGIS. The other source which was used to get the bus route data was from the application called moovit, where it provides the information such as bus stop details, list of bus route names with information of origin and destination, it also gave the information of path of bus routes that helped in mapping the existing routes. The output of the project is that we were able to map 25 routes across the Mysore city that routes almost cover the entire city, further in this project questionnaires was done to identify the untraveled routes in Mysore city and to provide city bus to those identified untraveled routes, which includes the questions such as preferred destination point, bus time, trips travelled per day, ticket fare, purpose of travel etc. based on that we designed the bus route. Cite: Swarup Kumar K, Sakshi, "BUS ROUTE PLANNING FOR ADEQUATE PUBLIC TRANSPORT SYSTEM FOR MYSORE CITY", IARJSET International Advanced Research Journal in Science, Engineering and Technology, vol. 11, no. 2, 2024, Crossref https://doi.org/10.17148/IARJSET.2024.11202.

Abstract: This paper presents a comprehensive overview of recent advancements in leaf disease detection methodologies. It covers a range of approaches, including deep learning with Convolutional Neural Networks (CNN), hybrid deep learning techniques, and machine learning algorithms such as Support Vector Machine (SVM) and Naive Bayesian classifier. Various aspects of plant diseases in different types of plants, including fruits, leaves, cotton, aquatic plants, coffee, pepper, and okra, are explored. Additionally, the integration of emerging technologies such as robotics, IOT, and smart solutions further enhances the accuracy and efficiency of disease detection systems. The study underscores the importance of these advancements in ensuring early detection and effective management of plant diseases, thereby contributing to improved agricultural productivity and sustainability.

Keywords: Image processing, Support Vector Machine (SVM), K-means clustering, Artificial Neural Networks (ANN), Yellow Vein Mosaic Virus (YVMV), Leaf vein extraction.

Abstract: The purpose of this study is to develop an Indoor Navigation System using QR code technology and OpenStreetMap (OSM) data used for efficient navigation within the confines of a college campus. The methodology involves the integration of QR codes strategically placed at key points within the campus premises, encoding location data, and facilitating seamless interaction with a web application. This application interfaces with OSM, utilizing its extensive indoor mapping capabilities. The system enables users to scan QR codes, extract location information, and visualize their precise indoor position on the campus map, providing step-by-step directions to their desired destination. Preliminary results demonstrate a significant improvement in navigation accuracy and efficiency compared to traditional methods. In conclusion, the integration of QR codes and OSM holds immense potential in revolutionizing indoor navigation, offering an intuitive and accessible solution for students, faculty, and visitors to navigate complex college facilities effortlessly. This system not only enhances the user experience but also sets a precedent for the adoption of innovative technologies in educational environments, promising a more streamlined and user-centric campus experience.

Keywords: Open Street Mapping (OSM), QR Code, Indoor Navigation, College Campus

Abstract: The basic measurement system of PMD is the interferometric technique. The interferometric technique is capable of measuring PMD of components. If a component has an operational bandwidth of just 0.2 nm then the coherence time of the source is such that the minimum PMD measurable is 40 ps. If the coherence source having wavelength of 10 nm then the PMD is reduced to 0.08 ps. Further it is concluded that as a working coherence wavelength of a source is increased then the P.M.D. is reduced. The PMD is the limiting factor for the high bit rate optical transmission systems. The precise measurement of the PMD is important for the design and maintenance of these systems. They are several methods developed to this time for the PMD measurements. They differ mutually in many aspects - precision, reliability, repeatability, stability, prize and the possibility of use in field conditions. It allows not only to measure precisely the PMD but it also gives the complete view on the distribution of the total birefringence along the fiber.

Keywords: Polariztion Mode Dispersion, interferometric, coherence source, optical transmission systems, orthogonal polarization modes, non-return to zero, differential group delay, optical fiber, autocorrelation peak, Birefringen,etc.

Abstract: A huge number of traditional watermills mainly in the Western Himalayan region of India (approximately 500,000), have the capacity to harness a total of 2500 MW/hour or 40 million units with the aggregate earning of Rs 1200 million per hour. But this potential is almost completely unexplored in the region. The adoption of the Archimedes Screw Turbine in the European countries at an extensive level. It is time for this region in India to efficiently utilize its water resources to generate electricity for sustaining the growing population of the region as well as the country as a whole. As electricity plays an important role in our lives it is very important to see new feasibilities to generate electricity. The benefits of using the Archimedes screw turbine have been highlighted by various researchers including and it is evident that at low head and low flow rate conditions, these turbines work most efficiently. Though, it will be of great importance if all the parameters of the Archimedes Screw Turbine and their effect on efficiency are determined. Here in this research efforts have been made to identify various internal and external parameters of the screw turbine that can affect the efficiency. The best configuration of parameters and screw configuration are to be proposed for the implementation at traditional mills for electricity generation.

Keywords: Archimedes Screw Turbine, Small Hydro Power, Hybrid power generation

Abstract: Flood modeling is a critical aspect of managing the risks associated with flooding events, with recent advancements emphasizing an integrated approach. This extensive review examines the integration of Intensity-Duration-Frequency (IDF) curves, Hydrologic Engineering Center-Hydrologic Modeling System (HEC-HMS), Hydrologic Engineering Center-River Analysis System (HEC-RAS), and Geographic Information Systems (GIS). This review article contributes to the understanding of challenges, advancements, and practical implications associated with the application of IDF curves, capabilities and applications of HEC-HMS, HEC-RAS and GIS in flood risk assessment. By synthesizing these methodologies, the review aims to contribute to the understanding of flood modeling techniques, supporting informed decision-making and resilient infrastructure planning.

Keywords: Intensity-Duration-Frequency (IDF) curves, Hydrologic Engineering Center-Hydrologic Modeling System (HEC-HMS), Hydrologic Engineering Center-River Analysis System (HEC-RAS), and Geographic Information Systems (GIS), HEC-HMS, HEC-RAS and GIS.

Abstract: This collection of papers explores various methodologies for dry waste management. It presents creative solutions to various range of problems. Topics covered in these papers include IoT technology, Deep Learning, and Machine Learning, approach. Methodologies approach are described for tasks including classification of solid wastes, trash management, recycling using technologies like Bluetooth and IoT, Arduino microcontroller, Moisture sensor. The research also investigates the effects of dry waste management on the environment and suggests an information architecture. Overall these papers address important challenges in the environment and make a sustainable contribution to efficient and sustainable environment.

Keywords: Automatic waste sorters, Satellite units, Automated system, Computer vision, Biodegradable, PET bottles.

Abstract: The global landscape is undergoing significant changes, and sustainable urban planning is a critical aspect for creating resilient and liveable cities. A survey was conducted to understand public perceptions and attitudes towards urban planning initiatives, focusing on environmental considerations and community engagement. Key themes included awareness of urban planning concepts, preferences for green spaces, opinions on transportation infrastructure, and expectations regarding community involvement in decision-making processes. Demographic variables such as age, income, and educational background were also explored. The findings provide valuable insights into public understanding and priorities in urban planning, enabling planners and policymakers to tailor initiatives to align with community expectations, fostering a more sustainable and harmonious urban environment.

Keywords: Plantation, Environment, Afforestation, Reforestation, Ecology, Deforestation, Geomorphology.

Abstract: The study was develop to minimize, lessen, control waste product in the community such as paper waste and dried leaves and to be useful for waste management, segregation and recycling processes.The study aimed to utilized paper waste and dried leaves as Ceiling Board, specifically it will sought to:1. Evaluate the qualitative characteristics of paper waste and dried leaves as Ceiling Board in terms of: physical appearance, composition, and odor; 2. Determine the applicability of paper waste and dried leaves as Ceiling Board in terms of; type of paper and dried leaves used, amount of additives or binder, and drying time; 3.Find out if there is a significant difference between two treatments in terms of acceptability such as, color, capacity, texture, and drying time. Experimental method is a research method was used to test a hypothesis by seeking to establish a causal relationship between dependent and independent variables. It involves manipulation of the independent variable, while trying to keep all other variables constant (A Dictionary of Nursing, 2008). The qualitative characteristics of paper waste and dried leaves as Ceiling Board in terms of: physical appearance, composition, and odor verbally interpreted as Very Good while the applicability of paper waste and dried leaves as Ceiling Board in terms of; weight, dimension and drying effect verbally interpreted as very applicable. However, the significant difference between two treatments in terms of acceptability such as, color, capacity, texture, and drying time. Treatment A, resulted to be very acceptable. While, Treatment B resulted to be acceptable.

Keywords: Composition, Utilization, Paper waste, Dried leaves, and Ceiling board

Abstract: Highly virulent Salmonella enterica serovars (Typhi and Paratyphi) is the leading cause of typhoid fever and sufferings of enteric fever worldwide and due to this, about 16.6 million infections and 1.6 million deaths are estimated in the world each year. Due to the wide variety of clinical manifestations demonstrated by the pathogen, it can be considered challenging to diagnose it. Several diagnostic techniques are employed throughout South Asia, including Bangladesh, one of which is the Triple Antigen Test. The purpose of this study was to apply this technique to determine the prevalence of enteric fever in North Bengal, Bangladesh. A total of 176 blood specimens were examined for Salmonella Typhi/Paratyphi (Widal test); Proteus species, rickettsial infections (Weil Felix test), and brucellosis (Brucella antibody test). Overall, 64.04% showed positive results for enteric fever. The results identified Salmonella enterica serovars Typhi to be the most prevalent agent, with no Paratyphi or brucellosis cases detected. However, dependence on serology-based testing without antibiogram profiling is inadequate for diagnosis and treatment. Widal test findings can be challenging to interpret due to previous antibiotic treatment and the possibility of false negative results. Improved diagnostic techniques like Typhidot RDT, IgM StripTest, IDL TUBEX Test, and fast stool culture are required for accurate estimations of enteric fever, in addition to following the standards of World Health Organization (WHO) and the Center for Disease Prevention and Control (CDC).

Keywords: Enteric fever, Salmonella enterica, Typhi, Paratyphi, Widal test, Weil felix test.

Abstract: The most common feature that people use to identify one other is their faces. In computer vision and image understanding, face recognition (FR) is a traditional problem that is still actively pursued. This function of biometrics, which is a component of deep learning, has long been met. Face recognition has grown in importance as a tool for safety and security in recent years. Measuring and examining each person's distinct physical or behavioral traits is the aim of biometric systems. Due to its ability to gather biometric data without invading personal space or requiring the agreement of the user, facial biometrics have become one of the most popular biometric data types in recent years. Face recognition has seen a recent surge in interest in deep learning, particularly in deep convolutional neural networks, and several deep learning techniques have been put forth. In the proposed work, a comparison is made between the holistic and fisher face approaches and the face recognition application using Convolutional Neural Networks (CNN) using Python. In contrast to traditional techniques, the suggested methodology normalizes the probability distribution by employing pooling layers, extra convolutional layers with ReLU layers, a fully connected layer, and a Softmax Loss Layer. 1500 photos with various facial expressions make up the dataset, and the CNN method is used to train and evaluate the model to achieve accuracy. Based on experimental data, the suggested Neural Network received a score of 98.96% accuracy.

Keywords: Facial Recognition, biometrics, deep Learning, convolutional neural networks, facial dataset, data security.

Abstract: The "CitizenConnect: Real-Time Grievance Management Application" offers a novel solution to the contemporary challenges encountered in grievance resolution processes by introducing an innovative mobile application. This application serves as a pivotal component in modern grievance management systems, prioritizing efficiency and user satisfaction as its primary objectives. With a specific focus on real-time complaint resolution, the application facilitates a seamless experience for users to submit grievances while empowering administrators to promptly address and resolve them. The user-friendly interface enhances accessibility, enabling an effective interaction between users and the grievance management system.

Keywords: Grievance Management, Complaint Resolution, CitizenConnect App, User-Friendly Interface, Administrative Efficiency

Abstract: A vital component of both public health and environmental sustainability is waste management. It includes gathering, moving, getting rid of waste, and recycling different kinds of garbage produced by human activity. Efficient waste management tactics strive to reduce pollution to the environment, preserve natural resources, and lessen health hazards related to inappropriate disposal of trash. The main elements of waste management are examined in this abstract, including waste reduction, reuse, recycling, and appropriate disposal techniques. It also covers new developments like the concepts of the circular economy and cutting-edge technology that enhance waste management procedures. Societies can advance toward a more sustainable future while protecting ecological integrity and human well-being by implementing comprehensive waste management methods.

Keywords: Waste management system, Design of smart and IoT waste management system, waste management in different countries, Garbage Management System, SAFA-E.

Abstract: Road tunnel ventilation systems serve to limit the concentration of air pollutants during normal tunnel operation and to transport smoke gases out of the tunnel during self- and assisted rescue in case of fire. Depending on the tunnel length, the traffic load and type, as well as the likelihood of traffic jams, different ventilation systems, such as longitudinal, semi- or fully transverse ventilation systems, are used. A combination of these systems is sometimes required. Ventilation is the defining issue for many tunnels and the safety and comfort of the people who use them, especially during extreme events such as fire. Wrongly conceived, it can lead to excessive demands on tunnel size and cost, and even undermine the feasibility of a project. One should always, specialize in simple, practical and sustainable solutions to tunnel ventilation and wherever possible, to harness natural ventilation. A tunnel's length and function obviously affect the viability of this, but by minimizing mechanical plant, we save both excavation and operating costs, creating less energy-intensive, more sustainable alternatives.

Keywords: Tunnel Ventilation, air pollutants, smoke, gases, longitudinal & transverse ventilation system

Abstract: One member of the Caesalpiniaceae family of medicinal plants is Caesalpinia bonducella L. The plant can be found throughout India. The bush is a big prickly one. It is well-liked in traditional medical systems such as Unani, Siddha, Homoeopathy, and Ayurveda. It has been regarded as a key treatment for a number of ailments in Indian traditional plant medicine. It has been stated that the plant possesses different components of the C. bonducella plant have antiviral, antimalarial, antifungal, antioxidant, anticancer, antipyretic, antifertility, and antimalarial properties, among others. After more research, it can be said that C. bonducella may turn out to be the greatest source of medication for a variety of illnesses in the future. Therefore, efforts have been made to gather and collate data regarding the customary applications of different C. bonducella sections in diverse infirmities, chemical components from different sections, and the successful application of different extracts in the treatment of distinct illnesses.

Keywords: Antioxidant activity, Antiviral activity, Antimalarial activity, Antidiabetic activity

Abstract: Rainwater harvesting system plays a major role in global water conservation initiatives and provide a sustainable response to the shortage of water. The design and installation of rainwater harvesting systems are thoroughly reviewed in this work. In order to provide direction for engineers, policymakers, and practitioners involved in the planning and implementation of rainwater harvesting projects, it synthesises the body of current knowledge, case studies, and practical insights. The article covers the essential elements, design factors, tactics for implementation, and best practices to increase the efficacy and efficiency of rainwater harvesting systems.

Keywords: water conservation, design and implementation

Abstract: The native people who live in our nation are known as the tribal population. They have been leading a basic existence centred on the natural world for millennia, and they have created cultural norms that are compatible with their social and physical surroundings. Even the literature on the ancient age, including works from the Ramayana and Mahabharata periods, makes mention of these tribes. According to census 2011 in India, Schedule Tribes comprised 8.6% of the total population. The primary concept of the paper is to focus of Tamil Nadu's tribes and their food cultures. They are dispersed over the Kanyakumari district, the Western Ghats, and the Nilgris. Kanyakumari and Tirunelveli are homeland to the Kanis. Thodas, Paniyans of Nilgris, Kotas, and Irulas of Jawadh hills and Malayalis of Kalrayan hills. The food habits of various tribes can provide insight into their respective lifestyles. Numerous tribes still rely on the food and nourishment provided by forest products. Fruits, spinach, millet, and tuberous foods like elephant yams have been common foods consumed by tribal people in southern India. Goat Meat, rats, cats, squirrels, fish, crabs, snails, and other creatures that are found in their habitat are also a part of the tribe food culture. There is a lot of variation across the many tribal groups, including the so-called primitive tribes, a subset of very vulnerable STs. Numerous policies and programs that were started in the tribal areas after Indian independence had far-reaching effects.

Keywords: food culture, forest products, habitat, lifestyle, Tamil Nadu tribes.

Abstract: Composites are made by combining different materials with varying properties to create a new material with specific characteristics. This study aimed to develop a composite material using nano zinc oxide (ZnO), E-glass fibers, and epoxy resin. Epoxy resins have a wide range of uses in various industries due to their customizable nature. By incorporating different additives and nano materials, the versatility of epoxy can be further expanded to meet different application needs, including antibacterial, antimicrobial, anticorrosive and high mechanical properties. A series of samples with different concentrations of nano zinc oxide (0.5wt.%, 1wt.%, 1.5wt.%, and 2wt.%) were prepared using the hand layup method, while maintaining a consistent composition ratio of Epoxy and E-glass Fibers in all the other variants and is cured at room temperature. The mechanical and antibacterial properties of the developed specimens are evaluated and discussed. The developed composite is assessed for its hardness and antibacterial effectiveness against Escherichia coli and Bacillus subtilis. Analysis of obtained results indicate that the highest hardness was observed at 1.5wt.% nano zinc oxide concentration, while the highest antibacterial rates for both the bacteria were recorded at 2wt.% nano zinc oxide concentration. Overall, the experimental findings show that addition of nano zinc oxide enhances both the mechanical and antibacterial properties of the composite material.

Keywords: Mechanical, Antibacterial, Hand layup, Room temperature.

Abstract: Classification is supervised learning technique in data mining that produces a learned model from a labelled dataset. Many classification algorithms are available to solve binary classification problem where there are only two possible values of class label. Multiclass classification deals with the classification problem where class label has more than two possible values. Multiclass classification problems are highly relevant in recent machine learning developments, because there are numerous real life applications that rely on high number of parameters and classes. For example genetics, banking, physics, medical and other applications. In this paper we discussed techniques of multiclass classification and challenges in field of data mining.

Keywords: Classification, Data Mining, Multiclass Data, One-vs-One, One-vs-All, ECOC

Abstract: Music plays a significant role in improving and elevating one's mood as it is one of the important source of entertainment and inspiration to move forward. Recent studies have shown that humans respond as well as react to music in a very positive manner and that music has a high impact on human's brain activity. Now a days, people often prefer to listen to music based on their moods and interests. This work focuses on a system that suggests songs to the users, based on their state of mind. In this system, computer vision components are used to determine the user's emotion through facial expressions. Once the emotion is recognized, the system suggests a song for that emotion, saving a lot of time for a user over selecting and playing songs manually. A user study is presented to evaluate the application. Results reveal good usability of the service and show that visualization and interaction in a music emotion space can improve acceptance of music recommendations. Cite: Kasar Jayesh, Bhosale Prerna, Supekar Gayatri, Khan Aun Irfan Mohd,Prof. Abhale B.A, "Music Recommendation System", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13221.

Abstract: The intersection of technology and supply chain management (SCM) in the oil and gas industry represents a critical focal point for enhancing operational efficiency, reducing costs, and improving overall supply chain performance. This study explores the transformative impact of advanced technologies such as the Internet of Things (IoT), predictive analytics, and artificial intelligence (AI) on SCM practices within the industry. By conducting a systematic literature review, the research identifies key themes and patterns that highlight the benefits, challenges, and best practices associated with technological integration. The findings reveal that IoT enables real-time monitoring and predictive maintenance, blockchain enhances data integrity and security, and AI optimizes demand forecasting and decision-making processes. Additionally, the study addresses the significant challenges faced by the industry, including high initial investment costs, skill shortages, and cybersecurity risks. By adopting phased implementation strategies, fostering collaboration, and adhering to regulatory standards, the oil and gas sector can successfully leverage these technological advancements. The insights gained from this research provide a comprehensive understanding of how technology can be harnessed to achieve a more efficient, transparent, and resilient supply chain, offering valuable lessons for other industries, including healthcare logistics.

Keywords: Artificial Intelligence, Supply Chain, Investment Costs and Internet of Things.