Volume 12 | Issue 3

 Abstract

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Road lane-line detection is pivotal for autonomous driving systems and advanced driver-assistance systems (ADAS). However, in complex traffic scenes, challenges like shadows, road blurriness, and sparse markings hinder accurate detection and real-time performance. This project addresses these issues by implementing a lane-line detection algorithm using Python and OpenCV. The algorithm enhances detection by preprocessing images, employing techniques like color thresholding and edge detection, and utilizing Hough transform for lane boundary identification. It provides a comprehensive guide covering image processing, computer vision, and OpenCV, along with strategies to overcome challenges. Moreover, it introduces a multi-stage algorithm incorporating preprocessing, feature extraction, instance segmentation for precise lane delineation, and post-processing for refined results. Through experimentation, this approach demonstrates superior performance, ensuring reliable lane detection across diverse road conditions and environments, thereby contributing to the advancement of autonomous driving technology.

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Lane Detection, Computer Vision, Canny Edge Detection, Gaussian Blur, Region of Interest, Hough Transform, open CV, ADAS, Intersection over Union (IoU) or Mean Average Precision (MAP).

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In the contemporary era, cardiovascular diseases, including heart attacks, remain a leading cause of mortality. Identifying heart attack risk in its early stages and accurately assessing such risks related to cardiovascular conditions are crucial for proactive patient management and preventive interventions. This research introduces a pioneering deep learning architecture termed "CardioGraphVision" for the early detection of heart attack risks and cardiovascular conditions using retinal images. The proposed methodology integrates Graph Convolutional Networks (GCNs) and Vision Transformers (ViTs) to incorporate both local structural information and global contextual understanding from retinal scans. A comprehensive simulation analysis is conducted to assess the performance of CardioGraphVision, which is compared against existing algorithms, and its predictive accuracy is measured using pertinent simulation metrics. By conceptualizing retinal images as graph nodes and leveraging self-attention mechanisms, the proposed algorithm achieves precise and efficient feature extraction, essential for early detection of heart attack risk and cardiovascular conditions. To gauge CardioGraphVision's efficacy, diverse simulation experiments are carried out using an extensive dataset of retinal images. Through these comparisons, the predictive accuracy, sensitivity, specificity, and computational efficiency of CardioGraphVision are established. Simulation results demonstrate that CardioGraphVision surpasses existing algorithms in terms of accuracy and sensitivity for early detection of heart attack risk and cardiovascular conditions. Moreover, the algorithm's ability to effectively analyze retinal images with reduced computational overhead further augments its practical relevance.

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CardioGraphVision, Cardiovascular Disorders, Deep Learning Architecture, Early Detection, Graph Convolutional Networks, Retinal Images, Vision Transformers.

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Many major cities in India are now experiencing severe water shortage, impacting millions of people. The data indicates that only a small number of Indian cities have effective water management systems in place despite the increasing population of the nation. The research papers address the imminent water issue in India. India's reduced monsoon rainfall is attributed to climate change, fast and unplanned urbanization, uncontrolled development, and lack of effective water management planning. Both towns had severe water shortages in recent years, particularly impacting vulnerable communities. The case studies analyse the systemic risk and main factors leading to the water crisis in two cities, along with its social, physical, and economic consequences. The studies also provide solutions to address the problem. The research indicates that failed agriculture, political tensions in urban and rural regions, economic issues from company closures, and a rising number of farmer suicides have led to a significant influence on socio-economic, environmental, and political systems. The case study proposes preventive, mitigative, and preparatory actions for proactive urban management. The research study examines actions performed at a local level to mitigate water crises and the main problems encountered in risk management. The research study emphasizes the importance of taking proactive measures for long-term sustainability and resilience-building. It also advocates for promoting social behaviour change communication campaigns and capacity-building programs among stakeholders and citizens to effectively manage risks.

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Water Scarcity, Systematic Risk, Management, Preservation

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This research study investigates the significance of logistics in the distribution of Amul beverages and analyzes the demand level for these beverages, focusing on Coimbatore city. The study employs a descriptive research design to assess the efficiency of Amul's distribution channel and understand consumer preferences. Data was collected from 150 respondents using a structured questionnaire, and both primary and secondary data sources were utilized. The findings reveal that brand image, quality, and demand are the top-ranked features offered by Amul beverages, according to retailers in Coimbatore city. Additionally, a chi-square analysis was conducted to examine the influence of taste, price, flavors, quality, and availability on the demand level of Amul beverages. The results suggest significant relationships between price, flavors, and age groups, while taste, quality, and availability showed no significant relationship with age. Overall, this study sheds light on the importance of logistics in the distribution of Amul beverages and provides insights into consumer preferences and demand patterns in Coimbatore city.

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Amul Beverages, Logistics, Distribution, Demand Analysis, Consumer Preferences, Brand Image, Quality, Pricing Strategies, Distribution Efficiency, Customer Satisfaction, Market Trends, Chi-Square Analysis, Beverage Industry, Supply Chain Management.

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RP-HPLC, Cholecalciferol, Analytical Method development, Tablets

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This paper examines the intricate relationship between human rights and intellectual property rights (IPR) through the lens of the International Covenant on Economic, Social, and Cultural Rights. It discusses how the Covenant recognizes certain rights, like the right to food and health, which may be affected by intellectual property frameworks in developing nations. The paper also explores the balance between rewarding intellectual contributions, as acknowledged in Article 15(1)c of the Covenant, and the impact of existing intellectual property laws. It delves into conflicts between IPR and human rights, such as the right to health, education, culture, privacy, and freedom of expression, highlighting the need for a careful balance between these rights. It concludes with a few suggestions on how to address these conflicts and ensure that both intellectual property and human rights are protected.

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Human rights, Intellectual property rights, TRIPS agreement, ICESCR

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The purpose of the article is to show the place of Sri Chattambi Swamikal in the context of Kerala modernity. Chattambi Swamikal was one of the well-known social reformers in India. He was a philosopher, a poet, a mystic, and a social revolutionary. He desired to spread the message of the mystic experience and the presence of divine to one and all in society. The making of the contemporary Kerala society was profoundly influenced by its ideological orientations during the late nineteenth and early twentieth centuries. During this period several socially sensitive reformers tried to imbibe ideas of modernity and enlightment in society. In Kerala, the activities of Chattambi Swamikal and Narayana Guru encompassed the dimensions. His thoughts and actives have catalyzed many social movements and reforms in Travancore. Swamikal along with his contemporary, Narayana Guru and Ayyankali during 19th century strived hard to fight against caste system and social injustice that existed in Kerala a century ago. He also worked for emancipation of women and encouraged them to overcome creation of social disabilities of the Travancore society. He propagated the principles of 'Ahimsa' and preached for the classless society. Chattambi Swamikal articulated Advaita Vedanta and drew upon it in his social engagement. In the realm of the Kerala social reforms, his thoughts generated change which positively shaped masses towards freedom and provide further interpretative insights in to the ideological make up of Kerala society.

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Sruti,Smriti, Asan, Ahimsa, Trigunas, Trimurthees, Jivatmas, Panchabutas, Sukshma, Sthula, Sarirotpatti, Dasagunas, Prapancholpatti, Tatvamasi

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The polarities of democracy framework is founded on critical theory ideas that seek to achieve social change by overcoming oppression and violence, which both endanger humanity's survival. Benet expanded the theory by utilizing Johnson's concept of polarity management as a conceptual framework. Viewing the polarities of democracy model as a unifying paradigm can help in organizing, leading, and evaluating democratic social change activities aimed at creating healthy, sustainable, and just communities. According to the argument, Democracy is seen as a remedy for oppression rather than a mere dichotomy. In order to reach that point, it's important to recognize the presence of 10 values, with each being crucial on its own yet not enough individually, forming five polarity pairs. The study aimed to explore the perspectives of Haitian educators and other instructors familiar with public education in rural areas on the challenges and opportunities for enhancing access to quality public secondary education in places such as Pointe L'Abacou, Haiti. Throughout the study, all five pairs were considered, but three pairings of the polarities of democracy theory were used to address this gap

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Democracy, Education, Haitian educators, Polarity, Polarities of Democracy, Polarity management, oppression, Education in Rural areas, Public secondary education, social change.

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There are many ways to celebrate the happiness. India has been a country of vibrant customs and traditions since the ancient times. Every special occasion becomes more special when some event has been organized, in which people of different cultures come together and embrace each others traditions. Fairs and festivals in country have always been a moment to be cherished. In this paper we will discusses about the some prominent fairs which have been organized in country since ages. The study primarily sheds light on the different fairs which have been organized at the different parts of the north central India. This study covers the time period of ancient to modern period. It has been divided into three sections, the first scetions mainly discusses about the prominent fairs and track down their background. The second section is an attempt to find out the linkage between fairs and commercial exchange or trade and commerce, and how it act like a platform for traders and the endmost section is trying to bring the points forefront that these gatherings are mediums of social exchange and religious harmony as well. This is an attempt to discuss these fairs in view of economy and social religious amalgamation.

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Fairs, Economy, Trade, Social, Religious Harmony.

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In today's digital age, where the omnipresence of technology has become intertwined with every facet of modern life, ensuring robust digital security has emerged as an imperative. The Advanced Keylogger Project stands as a testament to this pressing need, offering a sophisticated solution to the intricate challenges posed by cybersecurity threats. This research paper delves into the intricacies of the Advanced Keylogger Project, dissecting its multifaceted approach to fortifying digital security. Beginning with a comprehensive review of existing literature, the paper navigates through the labyrinth of keylogger technologies, encryption methodologies, and cybersecurity frameworks. Drawing upon this rich tapestry of knowledge, the research embarks on an ambitious journey to conceptualize and execute a groundbreaking solution. At the heart of the Advanced Keylogger Project lies a meticulously crafted methodology, meticulously designed to capture the essence of digital interactions while safeguarding the sanctity of user privacy. Through a symphony of keystroke logging, clipboard monitoring, audio recording, and screenshot capture, the project casts a wide net over the digital landscape, capturing every nuance of user activity with unparalleled precision. Yet, the true ingenuity of the Advanced Keylogger Project lies not merely in its technical prowess, but in its unwavering commitment to data security. Employing a formidable arsenal of encryption algorithms and secure transmission protocols, the project erects an impregnable fortress around sensitive information, ensuring that it remains shielded from prying eyes and malicious actors alike. As the research paper unravels the intricate layers of the Advanced Keylogger Project, it becomes abundantly clear that its impact transcends the realm of mere technological innovation.[1] It serves as a beacon of hope in an era fraught with digital uncertainties, offering a glimmer of reassurance to individuals and organizations grappling with the ever-present specter of cyber threats. The Advanced Keylogger Project represents a monumental leap forward in the ongoing quest for digital security. Its legacy extends far beyond the confines of academia, leaving an indelible mark on the landscape of cybersecurity and inspiring a new generation of innovators to safeguard the digital realms that define our collective future.

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keylogger, python, security, keystrokes, encryption, etc.

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 Abstract

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Stress Detection, Physiological Signals, Support Vector Machine (SVM), naive bayes algorithm, Fuzzy Logic, Galvanic Skin Response, Heart Rate.

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Plants become the only important supply of energy. Global warming trouble. Rising damage, rebound and Local pathogens are important to plant structures and result in ability damage. In addition to financial benefits, illnesses directly or not directly make contributions to vegetation. Spread of infectious human sicknesses and environmental harm. With those sicknesses. Spread all around the international, the impairment of the everyday functioning of the plant and the enormous discount in numbers is damaging to the monetary situation. Crops lose their quality due to various sicknesses. Sometimes they arise, but they may be invisible even to the naked eye. Farmer tax. Diseases are in use, however it is cultivated within the wrong way. More and more ways to feed humans are increasing daily. It may be very It is vital that greater than 70% of human beings in India rely upon agriculture. This approach lots of people are enthusiasts. Plant diseases affect human beings. Directly or circuitously about health or maybe financially. To perceive those diseases. Work velocity is automated manner. Diseases are exposed thru various virtual photos in useful methods. In this newsletter we've explored various digital technology. A diagram of the plant disease identity method.

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Crop blight identification, deep learning

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This paper aims to identify the issues faced by every job seeker as well as every job poster. It's been noted that difficulties arise for both parties: job seekers struggle to find positions that match their experience and skill set, and employers struggle to identify candidates who will fill open positions and fully contribute to the expansion of their organizations. Not only does this application work effectively for large tech organizations, but it also benefits small and large enterprises alike. Many people in society are talented in a variety of professions, but they lack the appropriate audience to demonstrate their abilities and make money from them. Among the abilities are those of a driver, event coordinator, cosmetic artist, barber, and babysitter, among others.

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Android Studio tools, Java, Firebase cloud messaging, Android SDK 32, Job Seeker ,Job recruiter.

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Floods pose a growing threat to communities worldwide, necessitating advancements in forecasting systems to mitigate their impact. This study presents a comprehensive approach to flood prediction by integrating machine learning algorithms. Our proposed flood forecasting system harnesses the capabilities of machine learning algorithms to analyze historical data of rivers including daily runoff, weekly runoff, discharge, and flood runoff. Also, state-wise data is also included. The creation of this prediction system offers better performance and affordable options. This article creates a prediction model to predict the frequency of floods caused by rainfall. Based on the range of rainfall in certain locations, the model predicts whether a flood will occur or not.

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Mitigate, machine learning, algorithms, harnesses, runoff, discharge, prediction.

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Abstract--Financial services are being used everywhere and function with high complexity. With the increase in the usage of online modes for transacting throughout the world it is seen that the frauds too are increasing alarmingly in this sector. An automated Fraud Detection System is thus required to tackle this issue. Over the years, many techniques are being tried in order to efficiently tackle this issue. With millions of transaction taking place it is practically impossible to take care of this by manually checking for frauds.With that being said, speed and accuracy is needed while building such systems. Our system provides better accuracy rather than only works in these areas but also which in-turn will end up saving a lot of resources and the cost incurred. Our aim with this research is to provide a robust, cost effective, efficient yet accurate solution to find or detect frauds in both online payment transactions and payments that take place with credit cards. The proposed solution is a Machine Learning model that will serve the purpose of detecting 'Fraudulent' and 'Genuine' transactions in real time. This is very beneficent to all the sectors that are even mildly aligned to finance or make use of it. The solution will help them to analyse based on different factors if the ongoingtransaction can be harmful and will prevent many unfortunate incidents. Index Terms--fraud detection, credit card, online payments, fraudulent, genuine.

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fraud detection, credit card, online payments, fraudulent, genuine.

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Two simple, accurate and precise UV methods were developed for the estimation of Levosalbutamol and Guaiphenesin in Bulk drug form. Both the drugs are used in treatment of chronic bronchitis and mild to moderate pneumonia and muscle spasm. Method A is Simultaneous equation method; wavelengths selected for Quantitation are 271.0 nm and 245.5 nm for Levosalbutamol and Guaiphenesin respectively which are the ?max of both the drugs. Method B is Q -Analysis method, wavelengths selected were 245.5nm (?max of AMB) and 244.0 nm (Isobastic point) for the analysis. In both the methods linearity for detector response was observed in the concentration range of 10-60mcg/ml for 2-12 respectively. The results of bulk drug analysis for method A is found to be 99.66% + 0.49 S.D for 99.99% + 0.08 S.D for and results obtained for Method B is 99.75% + 0.41 S.D for 99.77 % + 0.44 S.D. The proposed methods were successfully applied for the simultaneous determination of both the drugs in commercial tablet preparation. The results of the analysis have been validated as per ICH rules.

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Levosalbutamol and Guaiphenesin, UV-Spectrophotometry, Simultaneous equation method, Q-Analysis method, UV method.

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The biggest organ of the body is human skin. It's weight lies between six to nine pounds and surface area is about two square yards. Inner part of the body is separated by skin from the outer environment. Melanoma is a type of cancer that mostly starts in pigment cells (melanocytes) in the skin in order to improve in early detection and accurate diagnosis by healthcare professionals. This technique offers a clearer view for improved analysis of skin abnormalities. Dermatological diseases are the most prevalent diseases worldwide. Despite being common, its diagnosis is extremely difficult and requires extensive experience in the domain. Here we have developed a SVM based proposed work to detect melanoma from other skin diseases. The diagnostic performance of melanoma, dermoscopy technique was developed. Dermoscopy is a non-invasive imaging method that magnifies and illuminates skin for enhanced visibility of features like moles. It enables a detailed examination of skin conditions, aiding in early detection and accurate diagnosis by healthcare professionals. This technique offers a clearer view for improved analysis of skin abnormalities. Dermatological diseases are the most prevalent diseases worldwide. Despite being common, its diagnosis is extremely difficult and requires extensive experience in the domain. Here we have developed a SVM based proposed work to detect melanoma from other skin diseases.

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DERMOSCOPY, SKIN CANCER, SVM, MELANOMA.

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Currently, the healthcare sector has undergone a substantial shift. E-health and telemedicine, often known as virtual care, have grown significantly in India. The practice of offering medical services when patients and healthcare professionals are not near one another but instead communicate with each other through electronic channels is known as e-health. This paper will highlight the boom of e-health being supported and triggered by various factors such as the proliferation of smartphones, high-speed internet connectivity, and other digital platforms, offering numerous benefits to not only to patients and but healthcare providers as well. The Indian Ministry of Health and Family Welfare, Ministry of Communication and Information Technology, as well as certain state governments and the Indian Space Research Organization (ISRO), playing a significant role in the development of eHealth in India. It will also discuss the E-health's major obstacles despite its potential providing with some recommendations for better and vast acceptance.

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e-health, healthcare, mhealth, telemedicine,virtual care etc

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This paper aimed at compare the self-esteem of NSS and Non-NSS volunteers. The study was delimited to NSS and Non -NSS volunteers of degree college affiliated to Sambalpur University within age range of 17-19 years in Boudh district of Odisha only. For this study, descriptive survey method was employed. Purposive sampling method has been adopted for the present study. Participants 200 students from different Degree Colleges who have under 19 years age of Boudh district in Odisha. 50 of them were NSS girls volunteers, 50 were Non NSS girls students, 50 of them were NSS boys volunteers and 50 were Non NSS boys students. In order to collect the data in the present study, the investigator used Self Esteem Scale (SES-DSDU- 2015) constructed by Dhar and Dhar .To find the significance of difference between the various group's "t" test was applied. Finally, it was found that NSS boys have better self-esteem than non-NSS volunteer and also NSS girls have better self-esteem than non-NSS girl's volunteer but no significant difference is found in the self-esteem between NSS boys and NSS girl's volunteer.

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Self - Esteem, Adolescence Students, NSS boys volunteer, Non-NSS boys volunteer, NSS girls volunteer, Non-NSS girls volunteer

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