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Tumkūr, India

Kapinaiah V.,SIT | Mukherjee J.,Indian Institute of Technology Kharagpur | Biswas P.K.,Indian Institute of Technology Kharagpur
Signal, Image and Video Processing | Year: 2012

The Discrete Cosine Transform (DCT) to wavelet transcoding provides input for several wavelet-based post-processing techniques of the DCT-coded image/video signals. Transcoding in domain transform avoids inverse transform and retransform operations and saves computation. In this paper, we propose a new technique for transcoding the DCT blocks to wavelet coefficients directly in the transform domain. We perform filtering, IDCT and downsampling operations in a single combined step. The proposed technique achieves the same computational result as that of a spatial domain technique. The transcoding matrices used in the proposed technique are found to satisfy certain symmetric and sparse properties, which are exploited to reduce the computational cost. As the number of zeros in the DCT coefficients is significantly higher compared to the spatial domain, computational cost reduces significantly. Also, with the proposed technique, it is possible to speedup the operation by ignoring some elements in the filtering matrices whose magnitudes are smaller than a threshold value. We demonstrate the application of the proposed transcoding for deblocking of the DCT-coded images in wavelet domain. © 2011 Springer-Verlag London Limited. Source

Sit | Date: 2013-05-20

The invention essentially concerns an aircraft seat (

Sit | Date: 2012-05-21

The invention essentially concerns an aircraft seat, comprising control units, at least one node to execute a particular action or function, and a display for viewing video data. The node and the display are capable of being actuated by the control units. A keyboard for transmitting a command signal addressed to the control units is connected to the control units. The control units are shared between the display, the keyboard and the node.

Shaikh S.,SIT | Malhotra A.,SIT
Advances in Intelligent Systems and Computing | Year: 2016

Electronic knees provide a wide range of mobility for the amputees. These can often cover K2 and K3 grades of mobility. To achieve a wider mobility, these electronic knees depend upon feedback sensors which provide real-time data to a microcontroller. Various methods are used to calculate the joint motion and knee angle which include magnetic encoder, electro goniometer, and inertial measurement units. The goal of this paper is to develop a sensor to measure angular change of the “stump” socket using accelerometer and ultimately that of the thigh movement, and to use it as feedback signal to the microcontroller in the electronic knee. Sensing the thigh position directly can help in achieving a more natural gait. This feedback system can be used instead of the passive feedback systems currently used in the electronic knees. Results show the potential of low-cost sensing method as a reliable feedback system which can reduce complexity of the hardware as well as the algorithms currently used in the development of modern electronic knee, and hence the overall cost of the electronic knee. © Springer India 2016. Source

Latha Shankar B.,SIT | Basavarajappa S.,UBDT | Chen J.C.H.,Gonzaga University | Kadadevaramath R.S.,SIT
Expert Systems with Applications | Year: 2013

This paper aims at multi-objective optimization of single-product for four-echelon supply chain architecture consisting of suppliers, production plants, distribution centers (DCs) and customer zones (CZs). The key design decisions considered are: the number and location of plants in the system, the flow of raw materials from suppliers to plants, the quantity of products to be shipped from plants to DCs, from DCs to CZs so as to minimize the combined facility location and shipment costs subject to a requirement that maximum customer demands be met. To optimize these two objectives simultaneously, four-echelon network model is mathematically represented considering the associated constraints, capacity, production and shipment costs and solved using swarm intelligence based Multi-objective Hybrid Particle Swarm Optimization (MOHPSO) algorithm. This evolutionary based algorithm incorporates non-dominated sorting algorithm into particle swarm optimization so as to allow this heuristic to optimize two objective functions simultaneously. This can be used as decision support system for location of facilities, allocation of demand points and monitoring of material flow for four-echelon supply chain network. © 2012 Elsevier Ltd. All rights reserved. Source

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