Informatics Publishing Limited

J. Santhosh ¹, Anu Varghese ²

Affiliations
1 St. Mary’s HSS, Kizhakkekara, Kottarakkara, Kerala, IN
2 St. John’s College, Anchal, University of Kerala, Kerala, IN

Abstract

Technology has profoundly altered our modes of life. In today's world nothing is permanent except change. IT has revolutionized the way we do thing, the role IT in today's society is phenomenal. Today's organizations need to advance beyond a view of ethics as necessary for safeguarding their reputation. Not only marketers but consumers are also concerned about the environment, and consumers are also changing their behavior pattern. Now, individual as well as industrial consumers are becoming more concerned about environment-friendly products. As a result of this, the term "Sustainable Marketing" has emerged. In this context the article focuses on the role of social media in sustainable marketing.

Keywords

Corporate Social Responsibility, Ethics, Social Media, Social Conscious Consumerism, Sustainable Marketing.

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G. Govinda Rao ¹, J. Santhosh ², B. V. Raghavaiah ³

Affiliations
1 Engineering Officer Grade 2, HPL, Central Power Research Institute, Bangalore - 560080, IN
2 Joint Director, HPL, Central Power Research Institute, Bangalore - 560080, IN
3 Additional Director, STDS, Central Power Research Institute, Bhopal - 462023, IN

Abstract

This paper elucidates the methods used in type testing and factory routine testing to ensure the tightness of SF₆ gas used in Medium Voltage (MV) and High Voltage (HV) switchgear as per the latest IEC and CIGRE guidelines. Gas insulated MV (>1 kV to ≤52 kV) and HV (>52 kV) switchgear are frequently being used in electrical power system throughout the world. Mostly, gas insulated MV and HV switchgear contains SF₆ as a pure gas or combined with other gases (i.e.: N2) to form a gas mixture. Recent times, distinct emphasis is being paid to reducing gas leakage during design, manufacturing and operation by enhancing gas handling procedures in compliance with Greenhouse gases emission regulations. Typically the assurance of gas tightness of MV and HV Switchgear shall be defined as the lowest possible quantity of SF₆ released to the atmosphere. Various test methods are used for tightness test measurement depends upon sensitivity of measurement, quantity and necessity

Keywords

Gas Insulated MV and HV switchgear, gas tightness test, SF6 leak detection methods.

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J. Santhosh ¹, Govind Hanmantrao Balde ², A. Rajesh Kumar ³, Chandra Mouli Venkata Srinivas Akana ⁴

Affiliations
1 Department of Computer Applications, Sri Krishna Adithya College of Arts and Science, IN
2 Department of Zoology, NTVS G.T. Patil Arts, Commerce and Science College, IN
3 Department of Computer Science and Engineering, N.S.N. College of Engineering and Technology, IN
4 Bonam Venkata Chalamayya Engineering College, IN

Abstract

Meteorological predictions play a pivotal role in various sectors, from agriculture to disaster management. While traditional weather prediction models exhibit proficiency, challenges persist in accurately capturing the complex and dynamic nature of atmospheric phenomena. Conventional weather prediction models often struggle to adapt to the intricacies of climate patterns, leading to suboptimal forecasting accuracy. The need for more robust methodologies that can effectively extract patterns from vast datasets and optimize model parameters is evident. Existing literature lacks comprehensive studies that seamlessly integrate ACO and Data Mining for weather prediction. This research bridges the gap by proposing a novel framework that leverages ACO optimization capabilities to refine Data Mining models, thereby improving the precision of weather forecasts. The proposed method involves utilizing ACO to optimize the parameters of Data Mining algorithms, such as decision trees and neural networks. ACO ability to find optimal solutions is harnessed to fine-tune the model parameters, enhancing its capability to extract meaningful patterns from historical weather data. Experiments demonstrate promising results, with a significant improvement in the accuracy of weather predictions compared to traditional models. The integrated approach shows particular efficacy in handling non-linear relationships and abrupt changes in weather patterns.

Keywords

Data Mining, Ant Colony Optimization, Optimization, Weather Prediction, Meteorological Modeling.

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