University Institute of Technology, Burdwan University

About: University Institute of Technology, Burdwan University is a based out in . It is known for research contribution in the topics: Photovoltaic system & Computer science. The organization has 1227 authors who have published 1361 publications receiving 16823 citations.

Detection of Copy-Move Forgery Using Hybrid approach of DCT and BRISK

Abstract: With the advancement in the image editing tools day by day and their increased usage, image forgery has become a serious problem. Copy-move forgery (CMF) is one of the most common image tampering techniques being used. There are many post-processing techniques applied on forged images such as scaling, blurring, JPEG compression and rotation to hide forgery traces. Single image might contain multiple forged regions. In this paper, we have proposed a hybrid method involving DCT (Discrete cosine Transform) and BRISK (Binary Robust Invariant Scalable Keypoints) features, for copy-move forgery detection. DCT is a feature set that would provide invariance to blurring, while BRISK would provide invariance to rotation and scaling. Features are extracted using DCT and BRISK keypoints and descriptors. For matching BRISK descriptors FLANN matcher is used, and for removing the false matches Euclidean distance-based clustering technique is used. The experimental result shows that our method is not only robust to blurring but also robust to transformations like rotation and scaling. It is also able to detect multiple forged regions. The method is tested on CoMoFoD dataset. Results of the proposed work are also compared with two standard approaches mentioned in experiment and result section.

Study of Dioxide Carbon Concentration and Indoor Air Quality in Some Buildings in the Equatorial Region of Cameroon (Yaounde)

Abstract: Background and purpose: Elevated CO2 rate in a building affect the health of occupant. This document presents results of an experimental analysis conducted in 50 offices located in 12 buildings with different layer in Cameroon (Yaounde). This study took place in 2012, during the dry and the rainy seasons. The main goal is to show the influence of the building structure, the ventilation and the number of occupants on the CO2 concentration in buildings. The areas chosen were ventilated at 60%. Materials and Methods: A questionnaire was distributed to occupants. The different values in terms of temperature, air speed, humidity, CO2 concentration and luminosity rate were measured simultaneously during working hours and without the occupants. The measurement took place while offices were naturally ventilated. Values obtained were analyzed and integrated. Results: Painted buildings with glasses were more pollutant than those made with soil and wood. A mechanically controlled area was more comfortable but more pollutant than a naturally ventilated area. Conclusion: The CO2 concentration changes exponentially when the number of people in a hall increased especially when there are smokers. For temperature ranged from 20.5°C to 28.8°C and the CO2 from 350ppm to 1450ppm, the average consumption of O2 by person varied between 0.0097cfm and 0.0162 cfm.

Experimental analysis and comparison of multilabel problem transformation methods for multimedia domain

Abstract: Multi-label learning is the term used to express a type of supervised learning that requires classification algorithms to learn from a set of examples; each example can belong to one or multiple labels. The learning task consists of breaking the multi-label classification problem into several single label classification problems. This learning process results in the prediction of new class labels for a new example. Nowadays, the research community pays significant attention for Multi-label classification due to its relevance to many important domains including, video and audio, images and other media, text, and bioinformatics. Among the previously mentioned domains, Multimedia has the greatest part of interest in multi-label learning due to the increasing demand to efficiently access large collections of images and videos and developing applications that are used for indexing, searching and browsing multimedia data. In this paper, we present an analysis and experimental comparison of four multi-label learning methods applied to three multimedia benchmark datasets using five evaluation measures. In the experimental study, each method is applied to all datasets; alternatively, each problem transformation method is applied against all 54 classifiers in order to find the classifier that gives the best performance for each dataset and classification method.

Impact of climate factors on contact rate of vector-borne diseases: Case study of malaria

Abstract: Climate change influences more and more of our activities. These changes led to environmental changes which has in turn affected the spatial and temporal distribution of the incidence of vector-borne diseases. To establish the impact of climate on contact rate of vector-borne diseases, we examine the variation of prevalence of diseases according to season. In this paper, the goal is to establish that the basic reproductive number ℛ0 depends on the duration of transmission period and the date of the first conta-mination case that was declared (t0) in the specific case of malaria. We described the dynamics of transmission of malaria by using non-autonomous differential equations. We analyzed the stability of endemic equilibrium (EE) and disease-free equilibrium (DFE). We prove that the persistence of disease depends on minimum and maximum values of contact rate of vector-borne diseases.