Volume 12 | Issue 8 |

 Abstract

Object detection methods based on machine learning are used in number of areas ITS (Intelligent Transportation System) and ADS (Autonomous Driving System). At the same time, the search for literature and popularity in special cases has also attracted a lot of attention and research. Content verification and authentication has become a major issue in the last few years. In computer vision and machine learning field, and the development of applications based on content detection and recognition, have also contributed to this trend. Searching for and familiarizing yourself with video subtitles and text on web pages is also helpful. Many studies have been done on text search and botanical image extraction. Various optical tools are also available. The problem of text finding and recognizing is still not fully solved. It is still very difficult to separate and extract texts from natural phenomena. Content analysis in natural pictures has attracted the devotion of the machine vision community due to its applications in data analysis, event data, robotic navigation, and image retrieval. Although previous studies have been quite successful in exploring the content and context of the text, it is still difficult due to the huge gap between the text and the date. The best method in text research is to divide the subject into content search and text recognition and treat these as separate tasks. Machine learning-based methods check for both.

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 Keywords

Text detection, Text recognition, Segmentation, Text extraction, Natural language Processing, Machine Learning

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The aim of this study was to find out the influence of scientific attitudes on student's academic performance in physics in some selected secondary schools in Ernakulum District. Four research objective, questions and hypothesis where formulated to guide the study. The research undertook survey design with a population of one thousand (1000) and sample size of two hundred (200) SS2 physics students from ten (10) secondary schools. The first hypothesis was tested using Pearson's product moment correlation analysis, the second hypothesis was tested with one-way ANOVA, the third and fourth hypotheses were tested using the independent t-test analytical techniques. The first, second and fourth hypotheses were significant which implies that student's scientific attitude, teacher's academic qualification and school location have negative influence on the academic performance of students in physics, while the third hypothesis was not significant, this also implies that gender difference is not a determine factor in academic performance in physics. It was therefore concluded and recommended that; students should be exposed to the relevance of science of the junior level of education, qualified teachers should be employed to teach physics in both rural and urban schools, quality teachers facilities and other necessary academic infrastructures should be the same in both urban and rural schools, educational needs should be provided equally for both males and females and government should as well provide relevant polices that would ensure that academic achievement in both rural and urban setup are equally enhanced.

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 Keywords

Key words: scientific attitudes, physics, teachers, students, rural and urban.

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In this paper, presentation of different static & stochastic meta-heuristic algorithms is compared with the proposed algorithm. Static algorithms are easy to implement but they fail to provide even acceptable solutions. Ant based algorithms are very popular for task scheduling related problems in cloud computing. Autonomous agent-based load balancing algorithm (A2LB) is a dynamic agent based resource scheduling algorithm that provides scalability and reliability by offering better resource utilization, and minimum response time, but it results in high degree of migration. Particle Swarm Optimization (PSO) is a swarm- based meta-heuristic algorithm influenced by the social behaviour of animals such as bird or fish. PSO has fewer primitive mathematical operators than other metaheuristic algorithms which results in lesser convergence time and is applied to continuous value problems. Ant Colony Optimization (ACO) is also a swarm based meta-heuristic algorithm inspired by the behaviour of real ants looking for the shortest path between their colonies and a source of food. Ant Colony Optimization algorithm is suited for solving discrete problems and can be used in solving the cloud computing resource management and job scheduling. Algorithm proposed in thesis tries to overcome the limitations of ACO & PSO.

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 Keywords

ACO, PSO, Autonomous agent-based load balancing algorithm (A2LB)

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This study was conducted in order to develop and validate a social competency scale that is tailored to college teachers in Nagaland. The development of the scale was a multi-step process that included a thorough assessment of the literature, expert consultations, and rigorous pilot testing. A total of 300 college teachers from both government and private institutions voluntarily participated in the present study which is a representative of diverse sample. The study data were analysed using SPSS software. Statistical analyses were performed on the final scale to determine its validity and reliability. The scale's efficacy in assessing social competency was confirmed by the results, which showed strong internal consistency and distinct factor structures for each component. This instrument offers a useful resource for evaluating and improving college teachers' social competency, which is essential for promoting a positive educational environment and improving teaching outcomes. The implications of this study extend to professional development, performance evaluations, and further research in educational settings. As per the result of the study, it was determined that the scale is valid and reliable.

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 Keywords

Social competency, college teachers, group climate, group cohesion, social skills

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This study presents an advanced approach to the formulation and evaluation of luteolin-loaded thin films, designed to enhance bioavailability and targeted delivery of this bioactive flavonoid. Luteolin, known for its potent antioxidant and anti-inflammatory properties, faces challenges in traditional delivery methods due to its low solubility and stability. To address these issues, we developed a novel thin film matrix utilizing biocompatible polymers and advanced loading techniques. The films were characterized for their physical properties, including thickness, morphology, and drug content. In vitro release studies demonstrated controlled and sustained release of luteolin, while stability tests confirmed the integrity of the active compound over time. Additionally, the films exhibited favorable mechanical properties and ease of application. This innovative formulation represents a significant advancement in luteolin delivery systems, offering potential applications in therapeutic and cosmetic fields.

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Luteolin, Film formulation, Luteolin Nano-encapsulation,Mechanistic studies,Polymeric film

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The use of AI (Artificial Intelligence) in sports journalism is rapidly increasing and is redefining communication strategies. The objective of this study is to understand the role of AI and its impact in sports journalism. In modern times, AI technologies are being used not only in data collection and analysis but also in content creation, audience engagement, and providing personalized experiences. AI based tools such as Natural Language Processing (NLP) and Machine Learning (ML) are capable of automatically generating sports related news and articles. This not only makes reporting faster and accurate but also allows journalists to focus on more creative and complex tasks. With the help of AI algorithms, sports journalists can customize content according to their audience's interests and behavior, thereby increasing reader and viewer satisfaction and engagement. AI is also being used in live coverage and real-time analysis during sporting events. It provides a better experience to the viewers and keeps them updated with the latest events and statistics. This research also found that the use of AI can also give rise to ethical issues in sports journalism, such as fake news and data privacy.

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Artificial Intelligence, Communication Strategies, Content Creation, Sports journalism, Data Analysis, Live Coverage

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Abstract: The COVID-19 pandemic has had a profound impact on all aspects of society, including the way we think about gender. In India, the pandemic has exacerbated existing inequalities and vulnerabilities faced by women. However, it has also created new opportunities for women to assert their agency and challenge traditional gender roles. This article explores the impact of the pandemic on women in India through the lens of literature. It examines how women's experiences during the pandemic have been reflected in Tamil literature, with a focus on themes such as increased vulnerability and marginalization, domestic violence and abuse, and new opportunities for women. The article argues that the pandemic has led to a more complex and multifaceted portrayal of women in Tamil literature. On the one hand, there is a greater focus on women's agency, resilience, and economic empowerment. On the other hand, there is also a continued focus on the challenges that women face, such as violence, discrimination, and poverty. Ultimately, the article concludes that the projection of women in Indian literature after COVID-19 will be shaped by the experiences of women themselves. As women continue to navigate the challenges and opportunities of the post-pandemic world, their stories will provide a rich source of inspiration and insight for writers and readers alike.

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Keywords: COVID-19, women, India, literature, Tamil literature, gender, inequality, vulnerability, domestic violence, economic empowerment, agency

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It is education, and its further reach amongst the population, which has helped women excel in all fields in today's India. Now, they are viewed as empowered, with an identity of their own, making choices on their own, enjoying greater freedom, and yet remaining attached to their household responsibilities. The various experiences of women, especially in regard to their relationships with men, have been sensitively brought out by men and women writers in India. The concept of relationships has prevailed in literature because of the absence of communication, love, or affection. Nayantara Sahgal takes up in her works the interior dilemma of women in marriages, portraying their sense of dissatisfaction and isolation from society.

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Dissatisfaction, Freedom, Agony, Empathy, Psychological, Love.

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The movement against the illegal and multiple taxation started a decade back when in 2010, the Nagaland Government issued a notification for setting up a high power committee, As a result on 05 August 2014, the High Powered Committee was set up to inquire into the illegal and multiple taxations in the State headed by justice(retd) H.K. Sema retired Supreme Court Judge as chairman, K.K. Sema IAS(Retd), Joel Nillo Kath as members and additional secretary justice & law as member-secretary. The committee submitted a report on 10 June 2015 to the Chief Minister however this report are yet to be released. On June 19 2013, the Action Committee against Unabated Taxation (ACAUT), under the aegis of the Naga Council, Dimapur, called for a 12-hour shutdown in Dimapur to protest against the heavy taxation. The rally movement in 2013 and 2018 headed by ACAUT had facilitated and acted a harbinger of the dawn of hope easing people from this burden of multiple taxation yet it still remain a distant dream to realize, that hope into reality and common people suffer the most in this imbroglio under a disguised unpatriotic nationalism. A Naga entrepreneur in 2015 claimed that the NNPGs groups demanded an amount of INR 2.5 lakh. So if the number are equally divided, it roughly comes to about 1.25 lakh per one group and if the same are demanded by 8-9 factions of the underground, it amount to approx. 11.25 lakhs. Each of the different factional groups claims they have a legitimate right to collect tax as a result each item are taxed multiple times. In 2018, the Public Action Committee under the aegis of the Naga Council Dimapur iterated its appeal to Nagaland political groups to immediately stop serving demand notes and keep their commitment to shun "tax collection. Every commodity is taxed multiple times, right from transportation to storage to the point of sale. The burden of taxation is added to the price of every product that a common man buys in the market. The rise of the extortion and illegal collection has been systemic, affecting transportation, every item sold in the market including service industry. With almost a hundred unions and associations and 20+-odd political groups actively involved in imposing their writ under fees or tax, the commercial capital is fast becoming a criminal capital. As per the report in August 2024 by the FGN, currently there are 26 Naga political groups in Nagaland.

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 Keywords

Multiple Taxation, ACAUT, NSCN, DCCI, FGN

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A powerful tool for deep fake detection has been developed with the advent of Long Short-Term Memory (LSTM) networks, a kind of Recurrent Neural Network (RNN) designed to process sequential data. LSTMs, in contrast to regular neural networks, retain information over long periods, making them ideal for investigating links and patterns in picture data that occur over time. Inconsistencies or anomalies that don't appear in individual frames but manifest themselves in analysis over time might be spotted using this expertise. An important step forward in the battle against online disinformation has been the development of a deepfake face recognition system that employs LSTM and machine learning. An advanced method for identifying deepfake material is provided by the system via the use of spatial feature extraction in conjunction with long short-term memory networks for temporal analysis. It can detect artefacts and small discrepancies that humans would miss since it can examine pictures from a spatial and temporal perspective. From social media to forensic investigation, the system's modular architecture guarantees versatility and real-time processing capabilities.

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 Keywords

Deepfake, machine learning, LSTM, CNN

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