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Chanda D.,Jadavpur University | Majumder D.D.,Indian Statistical Institute | Majumder D.D.,Institute of Cybernetics Systems and Information Technology | Bhattacharya S.,National Institute of Technology Durgapur | Bhattacharya S.,Jadavpur University
SEKE 2010 - Proceedings of the 22nd International Conference on Software Engineering and Knowledge Engineering | Year: 2010

For creating virtual enterprise (VE), which is in general the collaborative partnership between business partners in value chains, the business processes (services) of the resulting organization need to be composed of the individual business processes of the participating organizations. This can be realized by means of Service Oriented Architecture (SOA). In our paper we propose a SOA Framework based on Knowledge Bases.


Majumdar D.,Indian Institute of Technology Guwahati | Kole D.K.,Jalpaiguri Government Engineering College | Chakraborty A.,Thomas College | Majumder D.D.,Institute of Cybernetics Systems and Information Technology
ACM International Conference Proceeding Series | Year: 2015

Wheat leaves need to be scouted routinely for early detection and recognition of rust diseases. This facilitates timely management decisions. In this paper, an integrated image processing and analysis system has been developed to automate the inspection of these leaves and detection of any disease present in them. Disease features of wheat leaves have been extracted using Fuzzy c-means Clustering algorithm and disease detection, recognition of its type and identification algorithm has been developed based on artificial neural network (ANN). Through the use of ANN and more specifically multilayer perceptrons, detection of the presence of disease in wheat leaves have been successful in 97% of the cases, after analysis of about 300 test images of wheat leaves. Also, identification of type of disease, if present, in wheat leaf has been successful in 85% of the cases. © 2015 ACM.


Majumder D.D.,ECS Unit | Majumder D.D.,Indian Statistical Institute | Majumder D.D.,CSIR - Central Electrochemical Research Institute | Majumder D.D.,Institute of Cybernetics Systems and Information Technology | Ray D.,Indian School of Mines
IETE Journal of Research | Year: 2011

Medical images of different modalities, such as computed tomography/magnetic resonance/Positron Emission Tomography/Single Photon Emission Computed Tomography/ultrasonography, etc., of a particular object of interest provide complimentary information about the conditions of diseases and that of patients. Mapping of one image over that of other and a subsequent fusion of images is of immense importance from the point of view of diagnostics and treatment planning. In this paper, we have presented major theoretical/practical approaches of medical image registration. After making both methodological and technical survey of almost all the approaches in literature of both functional and anatomical images, we presented an in-depth study of two relatively recent approaches that we consider most promising. These are shape theoretic and image entropy-based methods. We have also proposed a soft computing approach of fusion of registered images using Dempster Shafer Theory of Evidence Accumulation along with some experimental results on some critical human body components such as brain, chest, and bones.


Karan S.,University of Calcutta | Karan S.,Computational Intelligence and Nanotechnology Research Society | Banerjee B.,Institute of Cybernetics Systems and Information Technology | Tripathi A.,Institute of Cybernetics Systems and Information Technology | And 3 more authors.
Advances in Intelligent Systems and Computing | Year: 2015

Nanorobotics is currently emerging as an attractive area of scientific research bridging biological and computational science along with mechanical science at the molecular level. We present a new approach to control the machines at the nano-meter or molecular scale (10-9 meter) in the perspective of the theory of cybernetics, the science of control, communication and computation with integration to complex man–machines systems. The problem under study concentrates its main focus on nano-robot control systems design including systems casualty, state notation and automata. We also describe the theory of nano-scale thermodynamically driven self assembly for collaborative information processing in a Bio-nanorobotics systems. A fuzzy shaped based approach is described in context of recognizing a single malignant cell along with its stage, as a target for medical treatment. The synthesis and imaging of magnetic nanoparticles, that can be functionally bind with the medicine and reached the effected regions for targeted drug delivery, such as in cancer treatment is also presented. © Springer International Publishing Switzerland 2015.


Karan S.,University of Calcutta | Karan S.,Computational Intelligence and Nanotechnology Research Society | Karan S.,Institute of Cybernetics Systems and Information Technology | Banerjee D.,Institute of Cybernetics Systems and Information Technology | And 5 more authors.
Proceedings of the Indian National Science Academy | Year: 2015

This article presents a systematic study of the effect of size and shape on the spectral response of individual nanoparticles (NPs). When developing NPs as catalysts, their shape is very important. For a certain volume of material, nanoparticles make the best catalysts when they have a large surface area. It is a challenge to find the shape that has the largest surface area for its volume. The main focus of this paper is the interesting change in properties of the materials due to increase surface area to its volume. The particle shape contours were measured by transmission electron microscope with high resolution. These TEM images are analyzed with image clustering techniques and generalized shape theory that results the computational indicators for shape, degree of atomic compactness of NPs. These types of characterization help the researchers in sizebased spectral tuning, biological labeling, and toxicity studies and suggest general protocols to address these problems. © Printed in India.

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