Volume 12 | Issue 2 |

 Abstract

ABSTRACT: Television industry in India is vibrant and diverse, producing a multitude of programs in various Indian languages. October 1951, when the first-ever TV transmitter would be installed in the Jabalpur Engineering college. Early 1980's, Indian television programming took off with the establishment of Doordarshan. The growth of digital TV households has seen a remarkable increase since 2013. CAS or conditional access system is a digital mode of transmitting TV channels through a set-top box (STB). Television broadcasting landscape is diverse, with over 1500 satellite television channels airing in India. This on-demand nature of OTT platforms proved to be a game-changer, particularly among the young internet users in India. Shipment of made - in - India television (TV) sets grew 33% sequentially to reach a total of five million units in three months ended September. There were 467.0 million social media users in India in January 2023. Updates to Google's advertising resources indicate that YouTube had 467.0 million users in India in early 2023. LinkedIn's ad reach in India was equivalent to 14.3 percent of the local internet user base (regardless of age) at the start of the year. Numbers published in Twitter's advertising resources indicate that Twitter had 27.25 million users in India in early 2023. Twitter in India decreased by 850 thousand (-3.0 percent) between October 2022 and January 2023.

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KEY WORDS: Indian Television, 1950s-1980s: India's introduction to television, Foundation of Doordarshan, Evolution of Television Industry in India, Terrestrial television- Cable and Satellite Television, Conditional Access System in India, 2000s: Introduction of LCDs and Plasma TVs in India, Social media in India: FACEBOOK, TWITTER, YOUTUBE, LINKEDIN, INSTAGRAM, SNAPCHAT etc.

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The agricultural sector serves as the backbone of a country's innovative growth, providing sustenance and raw materials essential for development. Agriculture is not only vital for human sustenance but also for the provision of resources. Consequently, the detection of leaf diseases has emerged as a critical concern. While traditional methods for identifying leaf diseases exist, they often rely on manual inspection by agriculture professionals or leaf pathologists. This conventional approach is subjective, time-consuming, expensive, and demands extensive expertise and data on leaf diseases. In recent years, advancements in technology have facilitated the use of machine learning and deep learning for leaf disease detection. This study focuses on implementing a Plant Leaf Disease Detection and Classification Network (PDDC-Net) using deep learning models. Pre-processing techniques are applied to eliminate various types of noise and standardize the dataset images. The PDDC-Net utilizes a residual network-based convolutional neural network (ResNet-CNN) for feature extraction and classification. Additionally, the model suggests appropriate pesticides for corresponding plant leaf diseases. Experimental results demonstrate that the proposed PDDC-Net model achieves high accuracy rates in leaf disease detection and classification, marking a significant advancement in agricultural technology.

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ResNet-CNN, PDDC-Net, Support Vector Machine Algorithm

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Creative Commons Attribution 4.0 and The Open Definition

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It has always been fascinating how human emotions control the actions and behaviour of individuals and groups either consciously or subconsciously. Research has validated that the human brain can at a point be impacted up to 90% solely by emotions, thus making it significant to be included in behavioural sciences research. In the past 3 to 4 decades Emotional Intelligence (EI) has made its way to other fields as well. Management studies are one of the fields that have started considering Emotional Intelligence to be important while dealing with the human resources of an organization. Emotional Intelligence when understood and trained as per requirement can have psychological impacts on individuals and can develop better workplace efficiency. Despite this being, a relatively new dimension of the study, a significant number of researches have been carried out to establish the relationship and effects of emotional intelligence on an individual and their surroundings. Ever since its scientific validation, many organizations have started to invest in EI orientation and training of the workforce to properly channel the emotional commitments of employees towards organizational goals. This abstract presents, emotional intelligence and its consequences in the workplace context as it plays a significant role in shaping workplace dynamics and outcomes. The study aims to highlight how EI can be introduced as a measure of productivity and an influential factor in overall organizational goals. The study is descriptive in nature and uses secondary data to present a composition of various studies. The composition further concludes with a positive relation between Emotional Intelligence and Workplace dynamics as better EQ in an organization was seen in better goal achievement in the workplace.

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Keywords: Emotional intelligence, organization, psychological impact, workplace, workplace efficiency

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 Abstract

VAISHVIK NAGRIKTA EV SAHISHNUTA KI SANKALPANA ME BHARTIYA GYAN KI PRAMPARA KI MAHATA: RASTRIYA SIKSHA NITI,2020 KE VISHESH SANDHARBHA ME

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VAISHVIK NAGRIKTA EV SAHISHNUTA KI SANKALPANA ME BHARTIYA GYAN KI PRAMPARA KI MAHATA

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Creative Commons Attribution 4.0 and The Open Definition

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The present study attempts to study the awareness and participation of the members of SMC in different school activities by referring RTE Act, 2009 guidelines. Two blocks of Gnajam district named Bellaguntha and Bhanjanagar were selected as accessible population and a sample of sixty-five members of SMCs was drawn by using random sampling for collecting the data. The investigator used descriptive survey method for this study. Data were analysed by using quantitative approach using simple percentage analysis. The objectives were to study the awareness and participation of SMC members in school activities referring RTE Act, 2009. The main findings were that that the SMC members participate and take role in managing funds and preparing school development plan. All of the SMC members agreed that they should work for the protection of the rights of the children. Members also viewed that they organize and attend PTA/MTA meeting for the upliftment of their children. The study disclosed that most of the members work for the beautification of the school environment. It was also revealed that the members take parts in executing the mid-day meal program.

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SMC members, awareness, participation, school activities and RTE Act

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Creative Commons Attribution 4.0 and The Open Definition

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A person with disabilities is a group of people who have been affected by a long-term illness that affects their physical, mental, and sensory abilities. Currently, 15 per cent of the world's population live with disabilities, with the majority of these people living in developing countries. These people face a variety of issues, the most common of which are violations of their fundamental rights. Women with disabilities are particularly vulnerable, as they are often subjected to physical abuse in addition to their disability. This research paper seeks to gain an understanding of the laws that protect people with disabilities in India.

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Person with Disability, Human Rights, Constitution, Social awareness,

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Creative Commons Attribution 4.0 and The Open Definition

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Interactive ranking techniques have substantially promoted analysts ability in making judicious and informed decisions effectively based on multiple criteria. However, the existing techniques cannot satisfactorily support the analysis tasksinvolved in ranking large- scale spatial alternatives, such as selecting optimal locations for chain stores, where the complex spatial contexts involved are essential to the decision-making process. Limitations observed in the prior attempts of integrating rankings with spatial contexts motivate us to develop a context integrated visual ranking technique. Based on a set of generic design requirements I summarized by collaborating with domain experts. I propose SRV is, a novel spatial ranking visualization technique that supports efficient spatial multi-criteria decision- making processes by addressing three major challenges in the aforementioned context integration, namely, a) the presentation of spatial rankings and contexts, b) the scalability of rankings' visual representations, and c) the analysis of context-integrated spatial rankings. Specifically, I encode massive rankings and their cause with scalable matrix- based visualizations and stacked bar charts based on a novel two-phase optimization framework that minimizes the information loss, and the flexible spatial filtering and intuitive comparative analysis are adopted to enable the in- depth evaluation of the rankings and assist users in selecting the best spatial alternative. The effectiveness of the proposed technique has been evaluated and demonstrated with an empirical study of optimization methods, two case studies, and expert interviews.

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Group query optimization

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Websites that deal in trading should be able to display the vast amounts of data they handle considerably more quickly, allowing users to purchase the most recent share whenever the price of a company's stock changes. One of the most well-known JavaScript libraries created by Facebook is React JS. The usefulness of these libraries has been demonstrated by the implementation of a real-world scenario. The advantages of adopting React JS are covered in full in the concepts mentioned in this research paper. Regarding its cross-platform development is one of them. It may be used to create Android, and web applications. Over time, the cross-platform syncing helps to save costs and time.

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Stock Purchase and Sell, Stock analysis, Deployment and Security.

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Creative Commons Attribution 4.0 and The Open Definition

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The self-regulating of power industry, large power users can buy electricity directly from power producers. For trades between different domestic markets, it is necessary to research on the method to find the cheapest route for power exchanging. Moreover, as there exists no coordinator above domestic markets, the power routing problem must be solved in a distributed way. Most previous research are based on power electronic transformers. Some research proposed EMS of sub- networks as energy routers, but failed to consider the power flow constraints or did not converge in some specific cases. Our method is based on the EMS of multiple markets, which saves cost by eliminating expensive electronic transformers and has high efficiency in systems with numerous nodes by considering the domestic markets as generalized nodes. We take transmission costs and congestion costs into consideration, and uses greedy approach to determine the cheapest route for power transmission between different domestic markets and make convergence analysis about our algorithm. This method proves effective and convergent when there is no loop among the markets. A four- market loop-free case was used to illustrate the efficiency of the method.

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Creative Commons Attribution 4.0 and The Open Definition

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power routing, electricity transaction, distributed algorithm, energy router, EMS

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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