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The aim of this study is to develop an attitude scale towards online teaching and learning for higher education teachers. It included 687 participants (77 Professors, 67 Associate Professors and 543 Assistant Professors) from various colleges and Universities of India. This tool development was a part of research conducted to examine the preparedness of Indian higher education teachers during the period of lockdown due to COVID-19 pandemic. After reviewing related literature, initially 37 items related with the attitude of teachers towards online education were framed. Later on, 11 items were modified and four were deleted as per the opinions of the experts. The draft scale consisting of 33 items was administered on teachers and data was collected with the help of Google forms. Item analysis was carried out using t-value and r-value. Reliability of scale was determined by using Cronbach Alpha value (0.88) and split-halt correlation (0.82). After item analysis, the scale items were reduced to 30 and four factors were established as a result of factor analysis (Principal Component Analysis). Psychometric scale analyses have shown that this scale is valid, reliable and thus can be used in the evaluation of teachers 'attitudes towards online teaching and learning.

In recent years, there has been a rapid growth in Underwater Wireless Sensor Networks (UWSNs). The focus of research in this area is now on solving the problems associated with large-scale UWSN. One of the major issues in such a network is the localization of underwater nodes. Localization is required for tracking objects and detecting the target. It is also considered tagging of data where sensed contents are not found of any use without localization. This is useless for application until the position of sensed content is confirmed. This article’s major goal is to review and analyze underwater node localization to solve the localization issues in UWSN. The present paper describes various existing localization schemes and broadly categorizes these schemes as Centralized and Distributed localization schemes underwater. Also, a detailed subdivision of these localization schemes is given. Further, these localization schemes are compared from different perspectives. The detailed analysis of these schemes in terms of certain performance metrics has been discussed in this paper. At the end, the paper addresses several future directions for potential research in improving localization problems of UWSN. [ABSTRACT FROM AUTHOR]

Wireless Sensor Networks (WSNs) enhance the ability to sense and control the physical environment in various applications. The functionality of WSNs depends on various aspects like the localization of nodes, the strategies of node deployment, and a lifetime of nodes and routing techniques, etc. Coverage is an essential part of WSNs wherein the targeted area is covered by at least one node. Computational Geometry (CG) -based techniques significantly improve the coverage and connectivity of WSNs. This paper is a step towards employing some of the popular techniques in WSNs in a productive manner. Furthermore, this paper attempts to survey the existing research conducted using Computational Geometry-based methods in WSNs. In order to address coverage and connectivity issues in WSNs, the use of the Voronoi Diagram, Delaunay Triangulation, Voronoi Tessellation, and the Convex Hull have played a prominent role. Finally, the paper concludes by discussing various research challenges and proposed solutions using Computational Geometry-based techniques. [ABSTRACT FROM AUTHOR]