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Das R.,Xavier Institute of Social Service | Ghosh S.,k-Technology
ETRI Journal | Year: 2016

Information identification with image data by means of low-level visual features has evolved as a challenging research domain. Conventional text-based mapping of image data has been gradually replaced by content-based techniques of image identification. Feature extraction from image content plays a crucial role in facilitating content-based detection processes. In this paper, the authors have proposed four different techniques for multiview feature extraction from images. The efficiency of extracted feature vectors for content-based image classification and retrieval is evaluated by means of fusionbased and data standardization-based techniques. It is observed that the latter surpasses the former. The proposed methods outclass state-of-the-art techniques for content-based image identification and show an average increase in precision of 17.71% and 22.78% for classification and retrieval, respectively. Three public datasets - Wang; Oliva and Torralba (OT-Scene); and Corel - are used for verification purposes. The research findings are statistically validated by conducting a paired t-test. © 2016 ETRI.

Lucas K.T.,Xavier Institute of Social Service | Jana P.K.,Indian School of Mines
Journal of Supercomputing | Year: 2010

We present two parallel algorithms for finding all the roots of an N-degree polynomial equation on an efficient model of Optoelectronic Transpose Interconnection System (OTIS), called OTIS-2D torus. The parallel algorithms are based on the iterative schemes of Durand-Kerner and Ehrlich methods. We show that the algorithm for the Durand-Kerner method requires (N0.75 + 0.5N0.25 - 1) electronic moves + 2(N0.5 -1) OTIS moves using N processors. The parallel algorithm for Ehrlich method is shown to run in (N0.75 + 0.5N0.25 - 1) electronic moves + 2(N 0.5 - 1) OTIS moves with the same number of processors. The algorithms have lower AT cost than the algorithms presented in Jana (Parallel Comput 32:301-312, 2006). The scalability of the algorithms is also discussed. © 2009 Springer Science+Business Media, LLC.

Lucas K.T.,Xavier Institute of Social Service | Jana P.K.,Indian School of Mines
Parallel Processing Letters | Year: 2010

OTIS (optical transpose interconnection system) is a popular model of optoelectronic parallel computers that has gained enormous attention in the recent years. Several parallel algorithms have been published for many fundamental problems on this architecture. In this paper, first we propose a parallel algorithm for sparse enumeration sort on OTIS-Mesh of Trees (OTIS-MOT). For N (= n2) data elements, our sorting algorithm requires 4 log N$ electronic moves + 3 OTIS moves. We next present a shortest path routing algorithm that runs also in logarithmic time. © 2010 World Scientific Publishing Company.

Thepade S.D.,College of Engineering, Pune | Das R.K.K.,University of Calcutta | Das R.K.K.,Xavier Institute of Social Service | Ghosh S.,University of Calcutta
Communications in Computer and Information Science | Year: 2013

Incredible escalation of Information Technology leads to generation, storage and transfer of enormous information. Easy and round the clock access of data has been made possible by virtue of world wide web. The high capacity storage devices and communication links facilitates the archiving of information in the form of multimedia. This type of information comprises of images in majority and is growing in number by leaps and bounds. But the usefulness of this information will be at stake if maximum information is not retrieved in minimum time. The huge database of information comprising of multiple number of image data is diversified mix in nature. Proper Classification of Image data based on their content is highly applicable in these databases to form limited number of major categories. The novel ternary block truncation coding (Ternary BTC) is proposed in the paper, also the comparison of Binary block truncation coding (Binary BTC) and Ternary Block Truncation Coding is done for image classification. Here two image databases are considered for experimentation. The proposed ternary BTC is found to be better than Binary BTC for image classification as indicated by higher average success rate. © 2013 Springer-Verlag Berlin Heidelberg.

PubMed | Xavier Institute of Social Service, University of Calcutta and College of Engineering, Pune
Type: | Journal: SpringerPlus | Year: 2016

Image data has emerged as a resourceful foundation for information with proliferation of image capturing devices and social media. Diverse applications of images in areas including biomedicine, military, commerce, education have resulted in huge image repositories. Semantically analogous images can be fruitfully recognized by means of content based image identification. However, the success of the technique has been largely dependent on extraction of robust feature vectors from the image content. The paper has introduced three different techniques of content based feature extraction based on image binarization, image transform and morphological operator respectively. The techniques were tested with four public datasets namely, Wang Dataset, Oliva Torralba (OT Scene) Dataset, Corel Dataset and Caltech Dataset. The multi technique feature extraction process was further integrated for decision fusion of image identification to boost up the recognition rate. Classification result with the proposed technique has shown an average increase of 14.5% in Precision compared to the existing techniques and the retrieval result with the introduced technique has shown an average increase of 6.54% in Precision over state-of-the art techniques.

Kumar A.,Xavier Institute of Social Service | Haque Nizamie S.,Central Institute of Psychiatry | Srivastava N.K.,Central Institute of Psychiatry
Mental Health and Prevention | Year: 2013

Violence against women is a serious social and mental health problem and human rights abuse worldwide. It is an extremely complex phenomenon, deeply rooted in gender based power relations, sexuality, self-identity, and social institutions that pose a serious threat to women's mental health. This paper discusses the various factors behind violence against women with some cases and its consequences on women's mental health and wellbeing. The paper suggests that recognizing violence against women as a mental health issue is an essential first step which requires concerted and multi-sector responses backed by strong political commitment aimed at ending discrimination and violence against women. © 2013 Elsevier GmbH.

Kumar A.,Xavier Institute of Social Service | Srivastava K.,Freelance Development Professional
Social Work in Public Health | Year: 2011

The study attempts to find out the existing social and cultural practices regarding menstruation, awareness levels, and the behavioral changes that come about in adolescent girls during menstruation, their perception about menarche, how do they treat it, and the various taboos, norms, and cultural practices associated with menarche. The study was conducted on 117 adolescent girls (age 11-20 years) and 41 mothers from various communities and classes in Ranchi comprising residential colonies and urban slums. The findings unfolds many practices: cultural and social restrictions associated with menstruation, myth, and misconception; the adaptability of the adolescent girls toward it; their reaction, reaction of the family; realization of the importance of menstruation; and the changes that have come in their life after menarche and their resistance to such changes. The article also suggests the strategies to improve menstrual health and hygiene among adolescent girls. The study concludes that cultural and social practices regarding menstruation depend on girls' education, attitude, family environment, culture, and belief. Copyright © Taylor & Francis Group, LLC.

Kumar A.,Xavier Institute of Social Service
Social Work in Public Health | Year: 2012

This article reviews and discusses the problems, responses, and concerns of orphans and vulnerable children in India. The article shows that HIV/AIDS programs and interventions are vital for survival and welfare of orphan and vulnerable children, but they have reached only to a small fraction of the most vulnerable children. The article suggests a number of measures that government and civil society could take to address the problems and emphasizes the need to learn from other countries' experience and initiatives in developing appropriate policy and programmes for orphan and vulnerable children. Copyright © Taylor & Francis Group, LLC.

Kumar A.,Xavier Institute of Social Service
Prilozi / Makedonska akademija na naukite i umetnostite, Oddelenie za biološki i medicinski nauki = Contributions / Macedonian Academy of Sciences and Arts, Section of Biological and Medical Sciences | Year: 2010

AIM: To present the epidemiology of brucellosis and to assess and suggest public health intervention strategies to control brucellosis in rural India.METHODS: The paper is based on a review of various serological and other studies and evidence on brucellosis in India.RESULTS: Brucellosis is present in all livestock systems. Although the true incidence for human brucellosis is not available, various state specific studies and extrapolated incidence (321 cases annually) have shown that it is a serious disease present in the population. The studies also show that there is a conducive condition and environment for wide-spread human infection on account of unhygienic conditions and poverty in rural areas which need public health attention and intervention.CONCLUSION: The paper suggests that brucellosis needs to be included in public health education and public awareness programmes, particularly in the rural areas of India. It also suggests promoting safe livestock practices, active co-operation between health and veterinary services and a paradigm shift from the current 'biomedical model' to a 'sociocultural model' for the elimination of brucellosis in India.

Lucas K.T.,Xavier Institute of Social Service
Communications in Computer and Information Science | Year: 2010

OTIS (optical transpose interconnection system), as a model of optoelectronic parallel computers, has gained tremendous popularity and is widely accepted among researchers. A rich literature on various parallel algorithms proposed for different OTIS models is available. In this paper, we propose a parallel algorithm for enumeration sort on N-processor OTIS-Hypercube architecture. The first algorithm Sort1 is for sparse enumeration sort of √N data elements. Algorithm Sort2, the second algorithm, is for sorting N data elements on the same architecture. Here, the time complexity of the algorithms are analyzed by the number of data movements required on the electronic links and optical links. The data movements required through electronic link and that required through optical link are expressed as electronic moves and optical moves respectively. The first proposed algorithm, Sort1, requires 4log √N electronic moves and 3 OTIS moves. Sort2, the second algorithm requires √N + (N + 10√N) log √N electronic moves and 3√N OTIS moves. © 2010 Springer-Verlag Berlin Heidelberg.

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