Volume 12 | Issue 5

 Abstract

The key problem in human behavior recognition is how to build a spatiotemporal feature extraction and classification network. Aiming at the problem that the existing channel attention mechanism directly pools the global average information of each channel and ignores its local spatial information, this paper proposes two improved channel attention modules, namely the space-time (ST) interaction module of matrix operation and the depth separable convolution module, combined with the research of human behavior recognition. Combined with the superior performance of convolutional neural network (CNN) in image and video processing, a multi-scale convolutional neural network method for human behavior recognition is proposed. Firstly, the behavior video is segmented, and low rank learning is performed on each video segment to extract the corresponding Low rank behavior information, and then these Low rank behavior information are connected on the time axis to obtain the Low rank behavior information of the whole video, so as to effectively capture the behavior information in the video, avoiding tedious extraction steps and various assumptions. The ability of neural network to model human behavior can be transferred and reused in networks with different structures. According to the different characteristics of data features at different network levels, two effective feature difference measurement functions are introduced to reduce the difference between features extracted from different network structures. Experiments on several public datasets show that the proposed method has a good classification effect. The experimental results show that the method has a good accuracy in human behavior recognition. It is proved that the proposed model not only improves the recognition accuracy, but also effectively reduces the computational complexity of output weights and improves the compactness of the model structure.

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 Keywords

Behavior identification, channel attention, deep separable convolution.

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Creative Commons Attribution 4.0 and The Open Definition

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In the evolving landscape of 5G technology, the emergence of the cloud-edge-collaboration framework has become increasingly prominent. Central to this framework is the horizontal and vertical disassembly of computing power, which underscores the significance of full life cycle resource allocation and flexible configuration facilitated by SDN+K8s+microservice integration. This paper introduces a novel cloud-native architecture tailored to the 5G cloud edge collaboration scenario, which optimizes SDN routing strategies across multiple levels while decoupling and integrating context boundaries with microservice service mesh frameworks. Addressing the underlying computing power and network infrastructure, the architecture incorporates multi-threshold detection and global route optimization leveraging K8s + SDN. While experiments have demonstrated the stability and reliability of the 5G + cloud edge collaboration architecture, future efforts should focus on advancing route optimization techniques. This entails exploring avenues for enhancing the progressive nature of route optimization strategies within the context of 5G cloud-edge collaborations. Continued research and development in this area promise to further refine the performance and efficiency of network architectures in the era of 5G connectivity.

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 Keywords

Pervasive edge computing, service migration, Lyapunov optimization, distributed Markov approximation

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 Abstract

The incorporation of sensors to monitor temperature, humidity, air quality, and fire hazards in real time is transforming poultry management through an Internet of Things-based smart poultry farm system. When there are any reading irregularities from these sensors, notifications are generated, allowing for timely intervention. Furthermore, smart automation assures regular resource provision by automating routine tasks such as watering and feeding. Automatic cooling and fire detection systems improve the birds' living conditions. The use of IoT technology enhances farm management and livestock welfare outcomes, monitoring capabilities, and operational efficiency.

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 Keywords

Livestock welfare, Automation, Resource Management, Fire Detection, Farm Efficiency Sensor Technology

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 Abstract

The rapid growth of smart technology has significantly impacted various parts of daily life, especially in home automation. This research focuses on developing and using a home automation system with Bluetooth technology. This system uses a microcontroller, to facilitate seamless communication between household devices and user-operated gadgets. By incorporating Bluetooth protocols, users can control and monitor their homes remotely, improving convenience, efficiency, and energy conservation. The study examines system architecture, hardware components, software algorithms, and user interface design to highlight the technical aspects of the arrangement. Additionally, practical aspects such as security measures and scalability are addressed to ensure stable and reliable operation. Experimental findings demonstrate the efficiency and user-friendliness of the proposed home automation solution, showing its ability to convert traditional homes into smart, connected systems. This investigation contributes to existing knowledge in home automation and is a valuable resource for researchers, professionals, and enthusiasts interested in utilizing Bluetooth technology to enhance everyday living.

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 Keywords

Home Automation, Smart Homes, Smart Devices, Bluetooth, and Microcontroller

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Privacy-preserving data analysis has emerged as a crucial area of research in response tothe increasing concerns about the privacy of sensitive information in data-drivenapplications. This paper presents a comprehensive survey of techniques and methodologiesin privacy-preserving data analysis. It covers various approaches, including differentialprivacy, homomorphic encryption, secure multiparty computation, and federated learning,highlighting their strengths, limitations, and applications. Additionally, we discuss openchallenges and future directions in the field.

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Privacy, Data Analysis, Differential Privacy, Homomorphic Encryption,Secure Multiparty Computation, Federated Learning

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Abstract Niosomes, which consist of vesicles formed by a combination of non-ionic surfactant and cholesterol, are a subject of interest. These structures are capable of serving as carriers for drugs that possess both hydrophilic and lipophilic properties. Within the realm of drug delivery systems, niosomes represent a method by which pharmaceuticals can be enclosed within vesicles. The appealing characteristics of niosomes include their biodegradability, biocompatibility, lack of immunogenicity, and structural flexibility. The primary aim of this literature review is to shed light on the diverse therapeutic applications of niosomes in the treatment of various medical conditions. This review will explore multiple facets concerning niosomes, such as their preparation techniques, mechanisms of action, facilitation of drug permeation, utilization as permeation enhancers, diverse applications in disease management, assessment of toxicity, and approaches to mitigating toxicity through the utilization of surfactants.

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Key Words: Niosomes, Encapsulation, Surfactant, Vesicles, Application, and Toxicity.

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 Abstract

In today's digitally connected world, social networking application have become an integral part of people's lives, revolutionizing the way we communicate, interact, and share information. This abstract introduces a transformative social networking application designed to foster meaningful connections and enhance social experiences in the digital age. The proposed social networking application aims to address the limitations and challenges commonly associated with existing platforms. It emphasizes user privacy and data security, ensuring that individuals have control over their personal information and interactions. By prioritizing user safety, the platform seeks to create a trusted environment for fostering authentic connections and promoting positive online interactions. The social networking application implements advanced algorithms and intelligent recommendation systems to provide users with tailored content and personalized experiences. Through sophisticated data analytics, it leverages user preferences and interests to deliver relevant and engaging content, fostering communities around shared passions and hobbies. Moreover, the application incorporates innovative features that encourage meaningful interactions and deeper connections among its users. It provides a range of communication tools, such as real-time messaging, video calls, and voice chats, enabling users to engage in more authentic and intimate conversations. Additionally, it offers virtual events, interest-based groups, and collaborative spaces, facilitating active participation and fostering a sense of belonging. Recognizing the importance of mental health and well-being, the social networking application incorporates features that promote positive online experiences. It encourages empathy, inclusivity, and respect through community guidelines and moderation systems. Furthermore, it offers resources and support networks to address issues related to cyberbullying, harassment, and other negative online behaviors. This abstract presents an overview of a transformative social networking application that aspires to revolutionize online connections. By prioritizing privacy, personalization, and positive experiences, the platform aims to create a vibrant digital community that enriches the lives of its users. Through innovation and user-centric design, it endeavors to redefine social networking, empowering individuals to forge deeper connections and embrace the vast potential of the digital world.

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 Keywords

Android, Java, API, Machine Learning Algorithms, Networking, Connectivity

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 Abstract

The present survey study was undertaken with the main objective: To find out whether there is significant difference in interpersonal intelligence and in social awareness with its dimensions of XI standard students with reference to sex, medium of instruction, and type of school. The investigator has adopted survey method of research. The population for the present study is XI standard students in and around Virudhunagar District. The investigator has used stratified random sampling technique for selecting the sample from the population. The stratification has been done on the basis of sex, medium of instruction and type of the school. The sample consists of 300 XI standard students from 7 schools. Personal data sheet was developed by Investigator. Interpersonal intelligence and Socio awareness scale developed by Anmary Antony (2015). Mean, S.D.,'t' test and F test has used for analyzing and interpreting the data. The obtained results show that some dimensions of variable give significance and some dimensions of variable give significance. Based on the findings, the investigator suggested some recommendations: Adopt strategies for developing interpersonal intelligence and socio awareness for XI standard students. A close positive relationship between the roles played by the students, teachers, principals and administrators is desirable for the development of interpersonal intelligence and socio awareness among youth.

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Interpersonal Intelligence, Socio Awareness

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Medicinal plants are the source of treatment for many diseases and ailments throughout the developing world. Studies on them could lead to the finding of novel drugs for effective treatment of various diseases. . We have chosen one of the most commonly used plants of Cymbopogon citrates leaves for the present study which was screened for phytochemical and antibacterial properties. Studies on them could lead to the finding of novel drugs for effective treatment of various diseases. We have chosen one of the most commonly used plants of Cymbopogon citrates leaves for the present study which was screened for Phytochemical analysis revealed the presence of several bioactive compounds such as flavonoids, phenols, tannins, alkaloids etc. Plants synthesize a vast variety of chemical compounds classified as primary and secondary metabolites. Primary metabolites are involved directly in growth and development whereas secondary metabolites have several medicinal importance. There are wide range of secondary metabolites such as alkaloids, flavonoids, saponins, tannins, terpenoids, cardiac glycosides etc. Each of these have specific functions and health benefits. Hence they are used as raw materials for pharmaceutical and cosmetic industries. The study revealed the medicinal potential of lemongrass.

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Phytochemical; Qualitative and Quantitative.

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Recent era of technological advancement has given rise to controlled drug delivery system to compete against conventional pharmaceutical dosage form. The best tool to overcome this problem is the use of floating drug delivery system. FDDS mainly focuses on emphasising on reducing the density of tablet so that it can easily float on the gastric fluid.This present work is an effort to compile the recent literature with main focus on dosage form to easily float on the gastric fluid for improving bioavailability of drug which is administered orally.Approaches in FDDS includes high density system,bioadhesive/mucoadhesive system,raft forming system,and magnetic system.

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 Keywords

fdds,floating,bioavailability,orally

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In this study, delving into the realm of human-AI collaboration within creative processes, specifically focusing on the utilization of generative models. The exploration aims to unravel the intricate dynamics between human creativity and artificial intelligence, shedding light on how these entities synergize to foster innovation and artistic expression. Through a comprehensive examination of existing literature and empirical evidence, this research elucidates the diverse ways in which generative models augment human creativity, offering unique perspectives, insights, and possibilities. By analyzing case studies and practical applications spanning various domains, like art, design, music, and literature, the study unveils the symbiotic relationship between humans and AI in creative endeavors. Furthermore, it investigates the ethical implications, challenges, and opportunities inherent in this collaborative paradigm, addressing concerns regarding authorship, authenticity, and creative autonomy. Ultimately, this exploration not only does it deepen our comprehension of human-AI collaboration, but it also lays the groundwork for the progression of interdisciplinary research and innovation in the creative domain

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 Keywords

Gen AI,RNN,Synthetic Data,The dynamics of human-AI collaboration

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Stroke is a leading cause of disability and mortality worldwide, underscoring the critical need for accurate and timely prediction methods. Recent advancements in machine learning techniques offer promising avenues for stroke prediction, leveraging various physiological signals such as electromyography (EMG). In this study, we investigate the efficacy of machine learning algorithms, including Random Forest, XGBoost, K-Nearest Neighbors (KNN), Support Vector Classifier (SVC), and Decision Trees, for stroke prediction using EMG signals. Our findings reveal high accuracies achieved by Random Forest (95.90%) and XGBoost (95.60%), showcasing their potential for early stroke detection. These results underscore the utility of machine learning in healthcare and highlight the significance of early intervention for improving patient outcomes.

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electromyography (EMG), stroke prediction, stroke disease analysis, artificial intelligence , machine learning, random forest, deep learning,long short-term memory.

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 Abstract

Over the past decade, adventure tourism in India has experienced remarkable growth, driven by a rising demand for unique and thrilling experiences among both local and international travelers. This report explores how this sector has evolved, analyzing its growth patterns, key market trends, and the obstacles it faces. It starts by examining the factors that have contributed to the surge in adventure tourism, including India's diverse geography, rich cultural heritage, and increasing disposable income among its people. The report highlights various popular adventure destinations across the country, such as the Himalayas, Western Ghats, and coastal regions, which offer a wide range of activities like trekking, mountaineering, water sports, and wildlife safaris. Additionally, it delves into the economic impact of adventure tourism, emphasizing its role in creating job opportunities, supporting local communities, and improving infrastructure development in remote areas. It also discusses government efforts to promote adventure tourism through policies, incentives, and investments in infrastructure. Despite its rapid growth, adventure tourism in India faces several challenges that must be addressed to maintain its momentum. These challenges include insufficient infrastructure, safety concerns, environmental degradation, a shortage of skilled manpower, and regulatory obstacles. The report provides insights into these challenges and suggests strategies to overcome them, such as improving safety standards, promoting sustainable practices, investing in training and skill development, and streamlining regulatory processes.

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 Keywords

Adventure Tourism, India, Growth, Destinations, Activities, Economic Impact, Government Initiatives, Challenges, Solutions.

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 Abstract

Abstract: Pipelines are an extremely important instrument since they are utilized for a wide range of purposes in numerous industries, including the transmission of fuel, oils, gas, and water.

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Aging, corrosion, cracks, mechanical damage, X-rays, magnetic particle inspection method, leakage, blockages.

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 Abstract

Lipstick is the restorative used to variety the lips. It improves the presence of the lips. Lipstick is utilized for the reason to further develop appearance, look appealing and security of lips for some kinds harming UV beams and so on. Home grown Lipstick is a corrective item containing shades, oils, scent, additives, varieties, surface and assurance to the lips. It has turned into a practically all inclusive constituent of women's totes. Wet lips, dry lips, gleaming lips, smooth lips, all are straightforward issues of restorative application Home grown lipsticks are acquiring notoriety since regular beauty care products are protected. In market many shades of varieties are accessible to fulfill the interest by the ladies' in structure like fluid as well as stick on lips. Natural lipsticks making least side impacts. It contains regular fixings or supplements it is protected to utilize that keep lips solid. Lipstick containing engineered colorants which are comprised of destructive synthetic compounds and it is exceptionally unsafe for our skin. Constant use for a really long time season of manufactured varieties might cause serious medical conditions like skin staining , lip disease, skin bothering, and so on .lipstick exhibit many kinds of adverse consequence like-sensitivity, sickness, dermatitis, and drying of the lips also, more serve/utilized even lethal. Thus, the interest of the beauty care products containing home grown fixings expanded generally on the grounds that it is protected. This survey paper is about the outline on natural lipstick which incorporates benefits, life systems of lips, optimal characters, detailing deformities and assessment.

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Herbal, lipstick, medication, beauty, benefits, colorants.

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: The Indian tax system has been a subject of debate and discussion for many years. With a complex structure and high rates, there have been calls for reform to make the system more efficient, fair, and transparent. This paper will explore the current state of the Indian tax system, analyze its strengths and weaknesses, and discuss potential changes that could be made to improve it. The paper will also consider the impact of these changes on various stakeholders, including taxpayers, the government, and the economy as a whole.

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Keywords: Indian tax system, Tax structure in India, Income tax, corporate tax, Goods and Services Tax (GST), Tax compliance, Economic growth

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Creative Commons Attribution 4.0 and The Open Definition

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Market segmentation is essential for comprehending the varied requirements, tastes, and actions of visitors in the Indian tourism sector. This research empirically investigates the role of market segmentation in the decision-making process of visitors, specifically analysing demographic, psychographic, behavioural, and geographic factors. The report utilizes survey data to conduct a thorough analysis and defines specific market groups within the Indian tourism sector. These segments include leisure tourists, business travellers, adventure enthusiasts, cultural explorers, and wellness seekers. The study also examines the many factors that impact the decision-making process of visitors, including their personal preferences, perceived value, social influences, and marketing strategies. The results emphasize the significance of customized marketing tactics, product advancement, destination administration, and cooperation among industry participants to successfully allure and serve various market groups. The study's insights contribute to the advancement of knowledge in the field of tourism studies by giving a detailed understanding of market dynamics and delivering practical implications for industry practice and policy development.

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 Keywords

Keywords: Market Segmentation, Tourist Behaviour, Decision Making, Indian Tourism Industry, Demographic Segmentation, Psychographic Segmentation, Behavioural Segmentation, Geographic Segmentation, Marketing Strategies, Destination Management.

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Our team has developed a drone-based surveillance system for vessels plying in port areas. The surveillance system will have a 24x7 bird's eye view for absolute situational awareness, vessel tracking & traffic monitoring, encroachment monitoring, maritime recon & surveillance, data collection, disaster management, and similar applications. Most ports have sprawling water and land areas where licenses are issued by the port authorities to marine vessels for plying within port limits. A cost-effective solution is required to track and report harbour crafts such as boats, barges and dinghies that ply in the port water limits and monitor encroachments in port limits. To achieve this, our solution involves two drones, 'Garuda' and 'Shikara', each defining a different tier, that work hand in hand to give us the optimum solution for the problem of monitoring such a large area round the clock with complete situational awareness. Each tier has dedicated functions like surveillance and first response. This paper describes the entire process of recognizing pain points, ideation for solution, designing the system and each subsystem, realizing the product, and testing along with results and analyses in utmost detail. Serving as a guide and documentation for future solutions, this paper aims to describe our developed system in a manner such that it will aid in the development of better solutions for this critical application.

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aircraft, ardupilot, autonomous, autopilot, drone, maritime, pixhawk, port, reconnaissance, security, surveillance, UAS, UAV, VTOL

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 Abstract

A Study of Awareness Towards Social Problems of Intermediate and Graduate Level Female Students

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unemployment, safety of women, corruption, poverty, and population explosion

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The main purpose of this article is to learn about CNC Computer Numerical Control machines for mass production. This article also mentions programme functions, safety and part programming which help by reducing the production time and increasing the productivity and efficiency. Movement of the machine is done by giving commands. All the operations are carried out by codes (G-code & M-code) like speed, feed, depth of cut, etc. For every operation separate code is available. The warning system is available to save guard the various operations and components.

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CNC Machine, Programming, Code Commands, Study of CNC, Different Operations.

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Creative Commons Attribution 4.0 and The Open Definition