JSS Academy of Technical Education

Greater Noida, India

JSS Academy of Technical Education

Greater Noida, India

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Rajkumar T.M.P.,JNTUH College of Engineering | Latte M.V.,JSS Academy of Technical Education
Journal of Medical Imaging and Health Informatics | Year: 2015

Medical image compression leads a wide attention now days. Image compression plays an important role to reduce the bandwidth and ensures good quality of service in multimedia application. While transmitting the images, only some of the regions (Regions of Interest-ROI) are considered to be more significant than the others, which can be coded with high spatial resolution than the background (Non-ROI) in order to attain high compression rate with high quality ROI. In this research, we are intended to propose the medical Image Compression technique based on ROI and non ROI of the image. The ROI is segmented by K-means clustering based algorithm. This segmentation algorithm will pop out the important regions with the main objective of highlighting any pixels that vary from the rest of the background and catch the human attention. For the ROI regions, the image coding is done using wavelet transform based on modified Listless SPECK (LSK). Here the efficiency of the proposed methodology will be proved by using various medical images. The performance measure can be analyzed by using PSNR and CR. The execution time of the proposed method will be reduced when compare to the other existing methods. The experimental result shows that the application of ROI coding using LSK brings about high compression rate and quality ROI. Copyright © 2015 American Scientific Publishers

Sahoo A.,JSS Academy of Technical Education | Chandra S.,Jaypee Institute of Information Technology
2013 6th International Conference on Contemporary Computing, IC3 2013 | Year: 2013

Image segmentation is the pre-processing task for many computer assisted medical imaging applications. Recently, the Active Contour Models (ACMs) have shown their superiority over traditional low level techniques in segmenting ill-defined medical images. Irrespective of continual development and refinement of these models for the last decades, sensitivity to the initial position of contour and the entrapment within local minima are among the problems inflicted on ACMs. ACM based segmentation is an optimization problem in the sense the objective is to search for a contour with minimal energy. The L'evy flight Firefly Algorithm (LFA) is a nature-inspired meta-heuristic algorithm that is very powerful in solving global optimization problems. In this paper a hybrid approach that integrates ACM with LFA in order to improve its segmentation ability. To validate the performance of the proposed approach, experiments have been conducted on the real CT images of abdomen. The results show the ascendancy of the proposed approach in reaching contour concavities as compared to the traditional ACM. © 2013 IEEE.

Atheaya D.,Indian Institute of Technology Delhi | Tiwari A.,Jss Academy Of Technical Education | Tiwari G.N.,Indian Institute of Technology Delhi | Al-Helal I.M.,King Saud University
Solar Energy | Year: 2015

In this paper, an analytical expression for characteristic equation of a partially covered photovoltaic thermal compound parabolic concentrator (PVT-CPC) water collector system similar to Hottel-Whillier-Bliss (HWB) equation of flat plate collector has been derived. The derivation is based on basic energy balance equation for each component of partially covered PVT-CPC water collector system. The analytical result of proposed partially covered PVT-CPC water collectors [case (i)] has been compared with [case (ii)]: fully covered PVT-CPC water collectors; [case (iii)]: conventional CPC water collectors and [case (iv)]: partially covered PVT water collectors. It is observed that (a) an overall exergy efficiency of partially covered PVT-CPC water collector (25%PV) system is maximum and (b) an instantaneous thermal efficiency of conventional CPC water collector system [case (iii)] is maximum as compared to other cases. © 2014 Elsevier Ltd.

Prasanna Kumar S.,JSS Academy of Technical Education | Umesh T.K.,University of Mysore
Applied Radiation and Isotopes | Year: 2010

In this paper, we report the effective atomic number, Zeff, of composite materials for Compton effect in the gamma ray region 280-1115keV based on the theoretically obtained Klein-Nishina scattering cross sections in the angular range 50-100° as well as experimentally measured differential incoherent (Compton) scattering cross sections of some composite materials at three scattering angles of 60°, 80°, and 100°. The Zeff values so obtained were found to be both angle and energy independent in the region of interest so that it could be concluded that it is possible to represent such composite materials by a mean atomic number in this region as suggested in earlier reports recently. © 2010 Elsevier Ltd.

Pal M.,JSS Academy of Technical Education
International Conference on Computing, Communication and Automation, ICCCA 2015 | Year: 2015

The fundamental of motion estimation is that the objects in a frame of video sequence should only move within the original frame to form corresponding objects on the next frame. The concept of block matching method is to partition current frame into a matrix of macro blocks, that are compared with corresponding block and its adjoining neighbors in the last frame to create a vector that determines the motion of a macro block from one position to another in the preceding frame. This movement calculated for all the macro blocks consisting a frame, calculates the motion approximated in current frame. The search region for a perfect macro block equivalent is limited up to s pixels on all fours sides of the corresponding macro block in previous frame. This 's' is known as the search region. Bigger movements require a big s, and the bigger the search region, the process of motion estimation becomes costly. Motion estimation is the main process of block matching algorithms. The motion vector for every block is calculated by obtaining perfect equivalent block of pixels within the search area region in the last frame according to matching criterion. The efficiency of Block Matching Algorithms can be improved by increasing the PSNR of compensated image, changing Block size on Block Matching Algorithm and decreasing number of computations. Block Matching Algorithm is a part in Video Compression Process. Improving the working of Block Matching Algorithm reduces the time taken to compress a video. Motion estimation is used widely in various image sequence coding schemes. It plays a important part in the carrying & storage of video signals at reduced bit rates. © 2015 IEEE.

Arora M.,JSS Academy of Technical Education | Biswas R.,Institute of Technology and Management
Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010 | Year: 2010

In this paper, we have we have introduced a new intelligent soft-computing method of neutrosophic search with ranks and a new neutrosophic rank sets for neutrosophic relational data model (NRDM). Essentially the data and documents on the Web are heterogeneous; inconsistency is unavoidable in Web mining. Using the presentation and reasoning method of our data model, it is easier to capture imperfect information on the Web which will provide more potentially valued-added information. In Bio-informatics there is a proliferation of data sources. Each research group and each new experimental technique seems to generate yet another source of valuable data. But these data can be incomplete and imprecise, and even inconsistent. We could not simply throw away one data in favor of other data. So now we can represent and extract useful information from these data as a challenge. Thus it is a kind of an intelligent search for match in order to answer imprecise queries of the lay users. Our method, being an intelligent soft-computing method, will support the users to make and find the answers to their queries without iteratively refining them by trial and error. This important issue of closeness cannot be addressed with the crisp mathematics. That is why we have used the Neutrosophic tools. Neutrosophic-search method could be easily incorporated in the existing commercial query languages of DBMS to serve the lay users better. So in this Paper Authors are suggesting NRDM and Rank Sets to solve the imprecise query based on Rank Neutrosophic search which is a combination - Neutrosophic Proximity search and α-Neutrosophic-equality Search. © 2010 IEEE.

Chandna V.K.,JSS Academy of Technical Education
Proceedings of the 2014 IEEE International Conference on MOOCs, Innovation and Technology in Education, IEEE MITE 2014 | Year: 2014

Outcome based education (OBE) is a prerequisite for every professional programme that enables the stakeholder (student) to perform at globally competitive environment. India being a permanent member of Washington Accord, the professional institutions have started practicing towards OBE. The paper presents a novel approach for the assessment of PO's. This novel approach is useful in the assessment of a particular programme and the performance of the students during the programme. The paper also discusses the typical tools employed for the assessment and evaluation of Programme Outcomes (PO's) based on the weightage factor (mapping) between different tools and PO's. © 2014 IEEE.

Sharma R.,JSS Academy of Technical Education
Energy Sources, Part B: Economics, Planning and Policy | Year: 2016

ABSTRACT: Extensive research and development (R&D) efforts are required to make biofuel production cost-effective. Knowledge management may boost the R&D efforts. Co-processing of petroleum residues, other organic wastes, and fuels may generate cleaner fuels. Presently, an energy management concept of phase-wise transition to biofuels and an energy security management (ESM) model has been suggested as E (Energy) = a ex + b dy/dt + c ez, based on the exponential growth of fossil fuels use with increase in the world population (ex) and differential rate increase in organic wastes use with time, with ez being the exponential increase in biofuels use and a, b, and c are the factors representing the fuel reserves. R&D management involving knowledge management through trained human resources may lead to the development of effective technologies for ushering in the era of bioeconomy. © 2016 Taylor & Francis Group, LLC.

Mahalingam V.K.,JSS Academy of Technical Education
ASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis, ESDA 2014 | Year: 2014

This paper presents a simulation study aimed at evaluating the performances of a typical Flexible manufacturing system (FMS) problems in terms of make span, average flow time, average delay time at local buffers and average machine utilization, subject to different control strategies which include routing flexibilities and dispatching rules. The routing strategies under evaluation are 'No Alternative Routings (NAR)'; 'Alternative Routings Dynamic (ARD)'; and 'Alternative Routings Planned (ARP)'. The ARP rule was introduced into the FMS and coded with C++ program. The above routing strategies are combined with five dispatching rules and studied in different production volumes. Since an FMS usually deals with a variety of products, effects of changing the part mix ratio are also discussed. Simulation study was performed by using ARENA software. Finally results indicate that the 'alternative routings planned' strategy outperforms other routing strategies in general. Copyright © 2014 by ASME.

Sharma R.,JSS Academy of Technical Education
Energy Sources, Part B: Economics, Planning and Policy | Year: 2016

Energy and environment management is important for energy policy makers as the global warming and climate changes are necessitating carbon management. Coal and biomass are the major energy sources. Focus of energy planners is shifting to renewable fuels such as biofuels (bioeconomy) and clean coal technologies. The present paper describes the need for boosting research and development (R and D) efforts in renewable energy sources. Proper biofuels and clean coal technologies policy and planning are desirable for the sustainable energy technologies management. Strategic management of energy sources would require not only the trained manpower but also knowledge management for the economical and sustainable exploitation of energy resources. Flow scheme of the integrated energy management for cleaner power generation has been suggested by the author presently and a model for clean fuel management and planning has also been proposed. © 2016 Taylor & Francis Group, LLC.

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