109 research outputs found
Open Educational Resources for Redefining the Learning Horizons: An Evaluation
No full textThe paper explores the potential of Open Educational Resources (OER) in the current learning situation. It investigates the importance of Open Access Resources and Open Educational Movement in the changed society, which is network, oriented. The major benefits and challenges of creating and adopting OER as well as a few renowned OER initiatives are also explored in the study. It further examines the importance of Open Licenses for OER and the role of Library and Information Centres (LICs) in the promulgation of OER
Evolution of Social Security in the Lap of Public Action: Recounting the Experience of Kerala
No full textThis paper is part of a large study on the Social Protection in Rural India and China. In this paper, we attempt at a critical appraisal of the historical development and experience of social security initiatives in Kerala, India. We situate the development experience of Kerala in a conceptual framework of participatory development, which we interpret in a broad context of organization and mobilization of people at specific junctures of historical progress of a society. Thus participatory development, in our view is participation in the progressive process of realization of human rights and thus in development; that is, public action, with an effective public demand and a wiling public supply, conditioned by the legitimate function of the state. It is also attempted to categorize the on-going social security schemes according to the definitional framework of our study, that is, in terms of the definitional division of social security into basic and contingent social security.Social security; Kerala; development; contingency
Clustering Diagnostic Codes: Exploratory Machine Learning Approach for Preventive Care of Chronic Diseases
No full textExperiential sampling based foreground/background segmentation for video surveillance
No full textSegmentation of foreground and background has been an important research problem arising out of many applications including video surveillance. A method commonly used for segmentation is “background subtraction ” or thresholding the difference between the estimated background image and current image. Adaptive Gaussian mixture based background modelling has been proposed by many researchers for increasing the robustness against environmental changes. However, all these methods, being computationally intensive, need to be optimized for efficient and real-time performance especially at a higher image resolution. In this paper, we propose an improved foreground/background segmentation method which uses Experiential Sampling technique to restrict the computational efforts in the region of interest. We exploit the fact that the region of interest in general is present only in a small part of the image, therefore, the attention should only be focused in those regions. The proposed method shows a significant gain in processing speed at the expense of minor loss in accuracy. We provide experimental results and detailed analysis to show the utility of our method. 1
A facile procedure for tert-butoxycarbonylation of amines promoted by yttria-zirconia based strong Lewis acid catalyst
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Sedimentary environment and geomorphic development of the uppermost Siwalik molasse in Kumaun Himalayan Foreland Basin, North India
No full textYttria-Zirconia Based Lewis Acid: An Efficient and Chemoselective Catalyst for Acylation Reactions
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