Volume 9 | Issue 4

 Abstract

Information security has become the area of concern as a result of widespread use of communication medium over the internet. Security of data has become a most important issue in data communication specially in the field of computer networks. With ever increasing popularity of online transaction, debit or credit card fraud and personal information security are major concerns for customers, merchants, and banks especially in the case of card not present. This paper presents a survey about different fields where Steganography and Visual Cryptography can be used and a new method that uses a combination of Steganography and Visual Cryptography that provides only limited information required for fund transfer during online transaction.

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Data security, Steganography, Visual Cryptography, Online Transaction.

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This study examines consumer purchase behavior in the e-commerce sector in India, a rapidly growing market. The primary objective is to understand the demographic characteristics, purchasing habits, factors influencing purchase decisions, and overall satisfaction of e-commerce users. A quantitative research design was employed, utilizing a structured survey distributed via email and social media to gather data from 450 valid respondents. The survey captured detailed information on consumer demographics, buying patterns, factors influencing purchase decisions, and satisfaction levels. The data were analyzed using SPSS software, incorporating descriptive statistics, correlation, and regression analyses. Key findings indicate that the majority of respondents are young adults (25-34 years old), predominantly male, with a high level of education (bachelor's degree). The most preferred e-commerce platform is Amazon, with a significant portion of respondents making purchases 2-3 times a month. Price, product variety, and user reviews are the top factors influencing purchase decisions. High satisfaction levels were reported for product quality and overall shopping experience, though areas such as customer service and return/refund processes need improvement. The study highlights the significant role of price sensitivity, product variety, and user reviews in shaping consumer behavior. The findings have important implications for e-commerce businesses and policymakers. E-commerce platforms should focus on competitive pricing, diverse product offerings, robust review systems, and enhanced customer service. Policymakers should create a conducive regulatory environment, promote digital literacy, and implement economic policies that increase disposable income. This study fills a critical gap by providing empirical data specific to the Indian market, offering valuable insights for optimizing e-commerce strategies and achieving sustainable growth.

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E-commerce, Consumer behavior, Purchase decisions, Survey analysis, India, Online shopping, Customer satisfaction.

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E-learning is defined as medium of instruction through computer technology, which in other words is known as Internet/Intranet etc for the dissemination of teaching and learning. It involves classroom based learning, synchronous distance learning, resource center laboratory training and independent learning. Because of the increasing demand for continuing university education, this E-learning is used worldwide. E-learning is flexible and is a new trend in education delivery approaches which assures quality and increases educational opportunities. There is team in E-learning which includes different human resource. There are E-learning issues, obstacles in the way of E-learning, challenges and legal issues which are presented in this paper apart from the tips for evaluation of online resources.

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E-learning, ICT, VLE.

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The necessity for comprehensive and scalable security solutions has increased as software development increasingly uses CI/CD pipelines. Traditional security practises sometimes fall behind rapid development cycles, leaving weaknesses for unscrupulous actors to exploit. Adding AI-based security mechanisms to CI/CD pipelines can enable proactive threat detection, automated vulnerability assessments, and continuous monitoring without slowing down development. This study discusses AI-based security in CI/CD pipelines and its advantages. This article examines the constraints of typical security techniques in CI/CD settings, where quick deployment frequently clashes with extensive security testing. AI-based security technologies use machine learning algorithms to evaluate massive volumes of data, detect risks in real time, and react to new attack vectors faster than previous techniques. Automation of security testing across the development lifecycle is a major benefit of AI-based security in CI/CD pipelines. By combining AI-driven static and dynamic code analysis, anomaly detection, and automated penetration testing, enterprises can make security a priority throughout development. Traditional security systems have high false positive rates, but these technologies can learn from fresh data and improve accuracy. By detecting and responding to threats in real time, AI-based security helps improve CI/CD pipeline responsiveness. These solutions utilize AI models based on historical data to detect vulnerabilities and automatically roll back deployments or apply security updates. This preemptive technique limits attackers' window of opportunity and the danger of delivering tainted code into production. AI-based security in CI/CD pipelines ensures continuous monitoring and audit trails, supporting industry norms and laws. AI-driven solutions can log security actions, provide compliance reports, and notify teams of policy violations. This is useful in highly regulated businesses where security criteria must be met. However, CI/CD pipelines with AI-based security face issues. AI model complexity, training dataset size, and adversarial assaults on AI systems must be handled. Integration also demands development teams to choose security above speed and creativity. In conclusion, AI-based security transforms CI/CD pipeline protection in fast-paced software development. AI can improve security while preserving agility by automating security procedures, allowing real-time threat detection, and supporting compliance.

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 Keywords

AI-based security, CI/CD pipelines, automated security testing, real-time threat detection, continuous integration, continuous deployment, machine learning in security, compliance automation, proactive security measures, vulnerability assessment.

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The paper explores the intricate facets of Cachar during the 19th century, covering governance, geographical boundaries, land tenure systems, and demographic shifts under British rule. It unravels the historical fabric of Cachar, tracing its journey from pre-British independence under the Cachari Rajah to the transformative period post-British annexation in 1832. The focus is on understanding population dynamics in 19th-century Cachar, with a specific lens on immigration and settlement patterns, utilizing a historical perspective to grasp the variables influencing population movements. The study delves into the evolution of land settlements and the roles played by diverse communities in shaping the socio-economic landscape of Cachar. It provides insights into the administrative changes, economic development, and governance that contributed to the dynamic forces shaping Cachar's historical trajectory. Fundamentally, the paper seeks to recount the narratives of individuals and communities who migrated to Cachar, delving into the nuanced factors that influenced immigration. By examining the push and pull forces influencing population trends, the paper sheds light on how these movements impacted the socio-economic and cultural fabric of the region. The paper underscores the significance of comprehending these historical movements for a subtle understanding of Cachar's intricate 19th-century narrative.

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Cachar, Economic Development, Immigration, Population, Land Tenure, Settlement

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Bangalore, a bustling metropolis in India, has witnessed rapid population growth in recent decades, fueled by urbanization and economic opportunities. This surge has strained infrastructure, housing, and public services, leading to various socio-economic and environmental challenges. This abstract explores the causes and proposes potential solutions to mitigate these issues. The primary causes of Bangalore's population explosion include rural-urban migration driven by job prospects in IT and other sectors, coupled with a high fertility rate among existing residents. Such growth has resulted in overcrowded neighborhoods, inadequate sanitation, and increased pollution levels. To address these challenges, sustainable urban planning initiatives are crucial. These include expanding public transportation networks, promoting affordable housing projects, and enhancing healthcare and educational facilities. Furthermore, investing in green spaces and implementing effective waste management strategies are essential to improve the city's livability and environmental sustainability. This abstract concludes by emphasizing the need for integrated policies that balance economic growth with environmental conservation and social equity. By adopting comprehensive strategies, Bangalore can manage its rapid population growth more effectively and create a more livable urban environment for its residents. Bangalore, a thriving metropolis in India, has undergone unprecedented urbanization and economic growth in recent decades, propelling it into one of Asia's fastest-growing cities. This transformation has been accompanied by a significant surge in population, driven primarily by opportunities in the IT sector and other industries. As migrants flock to the city in search of employment and better livelihoods, Bangalore's demographic landscape has expanded rapidly, posing substantial challenges to its infrastructure, housing availability, and public services. The causes of Bangalore's population explosion are multifaceted. Urbanization has played a pivotal role, attracting a diverse population from rural areas and other states, drawn by the promise of employment opportunities and urban amenities. Concurrently, the city's existing residents contribute to its demographic growth through high fertility rates. These factors combined have resulted in extensive urban sprawl, overcrowded neighborhoods, strained transportation networks, and a burgeoning demand for housing, particularly affordable options. The consequences of this rapid growth are profound and wide-ranging. Infrastructure in Bangalore is under immense pressure, with inadequate road networks, traffic congestion, and insufficient public transportation systems hindering mobility and economic productivity. Housing shortages have led to the proliferation of informal settlements and slums, exacerbating social inequalities and complicating urban planning efforts. Moreover, public services such as healthcare, education, and sanitation struggle to meet the needs of an expanding population, impacting their accessibility and quality. Environmental sustainability is another critical concern amid Bangalore's rapid urban expansion. The city's rapid development has contributed to environmental degradation, including air and water pollution, loss of green spaces, and challenges in waste management. These environmental pressures not only threaten public health but also strain natural resources and exacerbate climate vulnerabilities. In response to these challenges, Bangalore has embarked on various initiatives aimed at managing its population growth sustainably. Sustainable urban planning strategies are at the forefront, emphasizing compact development, mixed land use, and transit-oriented infrastructure to optimize urban space and improve connectivity. Efforts to promote affordable housing projects and upgrade informal settlements aim to enhance living conditions and reduce socio-economic disparities. Investments in healthcare, education, and sanitation infrastructure are pivotal to improving public service delivery and ensuring equitable access for all residents.

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Bangalore Population growth Urbanization Infrastructure Housing Public services Socio-economic challenges Environmental impact Sustainable urban planning Public transportation Affordable housing Healthcare acilities Educational facilities Green spaces Waste management Livability

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Technology has become an increasingly vital element in the competitive landscape of the financial service industry. It has changed the very nature of selling and buying financial services. One of the most fundamental changes in the banking industry has been the consumer movement from traditional branch banking to more stand-alone banking such as the internet, telephone and mobile phones in banking. The banking industry has undergone a major change due to adoption of mobile banking. The present Study explores the adoption and perception of mobile banking among customers in the banking industry. It discusses how mobile banking enables customers to access account information, conduct transactions, and verify financial documents using their mobile devices. The study highlights that a majority of respondents use and are satisfied with mobile banking services, citing factors such as cost savings, time efficiency, 24-hour access, and physical security as key influencers. However, challenges such as high costs, security concerns, lack of awareness, and usability issues hinder adoption for some users. The findings aim to enhance understanding of consumer perceptions and suggest initiatives to improve mobile banking usage. Additionally, the study emphasizes the importance of traditional banking as a driving force behind the adoption of mobile banking services.

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Mobile banking, Customer perception Adoption

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This research is an explorative analysis on natural language processing (NLP) and linguistic development and their benefits as communication tools across cultures and different language barriers. This research exploits state-of-the-art computational techniques and linguistic proficiencies to study innovative methods of interpreting and processing natural language from various languages and dialects. This research discusses significant issues in NLP and linguistics, like non-concreteness of language, cultural norms, and syntactical implementations, to show how the possibility of understanding and communicating better could be achieved [1]. The paper is exploratory research that examines NLP and linguistics development from various angles. It provides some insight into how this field can solve the world's linguistic disputes and unite people around the globe. In the end, this research seeks to be part of the evolution of language technologies and the peoples and communities to communicate effectively across linguistic gaps [1]. Therefore, this paper aims to estimate new directions and promising areas that remain to be explored in this field. Language can be a barrier, but we can use computational methods and linguistic insights to break down the language barriers, cultivate cross-cultural understanding, and build cohesive and harmonious societies. NLP will catalyze other branches of science in the US and other countries. It must be noted that NLP will offer collaboration, innovation, and positive social impact.

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Natural Language Processing, Linguistics, Language Barriers, Cross-cultural Communication, Computational Linguistics, Ambiguity Resolution, Cultural Nuances, Syntactic Variations.

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ABSTRACT: Artificial Intelligence (AI) has transformed many industries, but because AI models are inherently opaque, it can be difficult to understand how they make decisions. Explainable AI (XAI) aims to reduce this comprehension gap between AI models and humans by offering comprehensible justifications for actions made by AI. The importance of XAI in improving accountability, transparency, and trust in AI systems is examined in this study. It looks at a number of XAI strategies, such as model-specific strategies, post-hoc interpretability methodologies, and human-centred design concepts. The study also looks at the user-centred, legal, and ethical reasons for XAI adoption. It highlights the benefits and real-world applications of XAI through case studies in healthcare, finance, and autonomous systems. By addressing challenges and outlining future research directions, this study advocates for the widespread adoption of XAI to foster a more transparent and human-centred AI ecosystem. Keywords: Artificial Intelligence (AI), Explainable AI (XAI), Human Understanding.

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Keywords: Artificial Intelligence (AI), Explainable AI (XAI), Human Understanding.

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Che Guevara was a pivotal figure in Castro's revolution and instrumental in toppling the Cuban government in 1959. Even though he held high government posts, his support for a Soviet alliance led to problems. In 1965, Guevara gave up his citizenship and departed from Cuba to pursue revolutionary objectives abroad, which was a major shift from his previous involvement in Cuban affairs.

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Guerrilla, Revolution, Communists, Reform

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શિક્ષણના સ્નાતક અભ્યાસક્રમમાં વાણિજ્ય વિનયન અને વિજ્ઞાન વિદ્યા શાખા ઉપરાંત અલગ અલગ વિદ્યાશાખાના વિદ્યાર્થીઓ પણ અભ્યાસ કરતા હોય છે આ વિદ્યાર્થીઓ અલગ અલગ વિષયોમાં સ્નાતક અથવા અનુસ્નાતક સુધીનો અભ્યાસ પૂર્ણ કરી શિક્ષણ સ્નાતકના (બી.એડના )અભ્યાસક્રમમાં જોડાય છે. આ વિદ્યાર્થીઓએ શિક્ષણ સ્નાતકના અભ્યાસક્રમમાં કેટલાક ફરજિયાત (core subjects)વિષયોનો અભ્યાસ કરે છે આ ફરજિયાત વિષયો પૈકી ‘બાળપણ અને ઉછેર’ વિષયની શૈક્ષણિક સિદ્ધિ ઉપર તેમની મૂળ સ્નાતકની પદવીના અભ્યાસની કેવી અસર થાય છે તેનો અભ્યાસ કરવામાં આવ્યો હતો.

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શિક્ષણ સ્નાતકના વિષય ‘બાળપણ અને ઉછેર’ વિષયની શૈક્ષણિક સિદ્ધિ પર વિવિધ વિષય વસ્તુની અસર

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 Abstract

Freshwater bivalve, Lamellidens marginalis exposed to 3.5ppm, 2.5ppm, 1.8ppm and 1.0ppm LC50 concentration at 24 to 96 hrs of periods of intervals. In experimental digestive tubules, channels, and connective tissue of the gland various changes were recorded. Something degenerative changes observed in control groups of bivalves. From this study we concluded that toxicity of TBTCL was responsible for histological changes in freshwater bivalve, Lamellidens marginalis.

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Histology, Lamellidens marginalis, Digestive gland, tributyltin chloride, acute toxicity, Summer Season.

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 Abstract

मुंशी प्रेमचंद के उपन्यास गोदान का अध्ययन

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मुंशी प्रेमचंद के उपन्यास गोदान का अध्ययन

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Bharat Vibhajan Ki Trasadi Ke Sandarbh Mein Rahi Masoom Raza Ka Aadha Gaanv.

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Bharat Vibhajan Ki Trasadi Ke Sandarbh Mein Rahi Masoom Raza Ka Aadha Gaanv.

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The researcher attempted to study the Academic Self Efficacy of Secondary School students in relation to their attitude towards Continuous and Comprehensive Evaluation (CCE) Programme perceived by students and this research was followed by survey method (descriptive). A sample of 150 secondary school teachers was taken based on stratified sampling from Bengaluru district Karnataka. For this reason, Academic Self-Efficacy Scale (2006) developed by Abdul Gafoor K. and P. Muhammed Ashraf and Students' Attitude Scale towards Continuous Comprehensive Evaluation developed by the researcher (2019) was used as research tool for the investigation along with personal information. The data were analyzed by employing mean, standard deviation, correlation, One-Way ANOVA along with Scheffe's Post hoc test and 't' test (independent) as statistical techniques. The level of significance was fixed at 0.05 level in all the cases. The correlation result confirmed a positive significant relationship between secondary school students' attitude towards CCE Programme and their academic self-efficacy and ANOVA result confirmed that there was significant difference in the Academic Self Efficacy of secondary school students having low, moderate and high attitude levels of CCE Programme. The students had favourable attitudes had higher academic self efficacy when compared to moderate and low attitude levels towards CCE Programme. This may be due to students perceived relevance and usefulness of CCE, feedback and self-regulation, social persuasion, emotional and physiological states. This can help students develop better self-regulation skills, which in turn can boost their academic self-efficacy. The ANOVA result also confirmed that there was a significant difference in the Academic Self Efficacy of secondary school students studying in government, private aided and private unaided schools. The government school students had higher academic self efficacy when compared to private aided and private unaided school students. The 't' test technique also showed that there was a significant difference in the Academic Self-Efficacy of secondary school boys and girls. The girls had higher academic self efficacy when compared to boys.

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Continuous and Comprehensive Evaluation (CCE), Students, Attitude, Academic, Self-Efficacy

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CONCEPTS OF JAINA MONKS AND NUNS IN INDIAN SOCIETY

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This paper provides analysis of human respiratory issues related content of YouTube channels creating health content in Kannada language. Content analysis methodology was implemented for the analysis. 200 video clips published on YouTube by Kannada YouTube content creators were identified by using appropriate keyword search method and analyzed using content analysis research method and the message sensation value is measures. The researcher found that the YouTube content related to the human respiratory issues are low in message sensation value. Findings provide insights for educators and researchers into content creation related to YouTube.

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Content analysis, Message sensation value, Graphics, Animation, Computer generated imagery, Visual effects.

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maize consumption in India and worldwide. The current pattern of use in the field of maize in India shows that 63 per cent, for starch and brewery 12 per cent, are used for foodstuffs of only 24 per cent, for poultry, animals, fish, pig and cod etc. and for seed 1 per cent. Maize feed demands from different sectors worldwide match India but, due to biofuels, the highest percentage of its industrial use (22 percent) in the world. In addition to food and feed maize is very demanding when developing various products in various industries, including pharmaceutical products, textiles, paper, film, pneumatic products, processing, packing and biofuels. Machine is developing more than 1000 products.

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Maize, QPM

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We proposed a novel framework to address the above issues by proposing top-k high utility item set mining, where k is the desired number of HUIs to be mined. Here in our proposed thesis we developed two types of efficient algorithms one is NTKU (I.e. Novel mining of Top-K Utility item sets) and second one is NTKO (Novel mining of Top-K utility item sets in one phase) for mining the item sets automatically without the need of setting min_util value. By conducting various experiments on our proposed two algorithms with an online products data sets, its show that the performance of the proposed algorithms is best in displaying the products in a UP-Tree structure for the current thesis, where we can show all the utility items mapped in a tree manner under the root node

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I-INJECTION TOWARDS EFFECTIVE COLLABORATIVE FILTERING BY USING TKU AND TKO

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