Kapoor A.,Sir MVIT |
Bhat S.I.,Sir MVIT |
Shidnal S.,Sir MVIT |
Mehra A.,Sir MVIT
2016 International Conference on Computation System and Information Technology for Sustainable Solutions, CSITSS 2016 | Year: 2016
Internet of Things and Image processing have been so far been applied for various applications independently. Their individual application in the field of agriculture exists and has achieved certain degree of success, however the combination of both these technology so far is non-existent. This paper describes an approach to combine IoT and image processing in order to determine the environmental factor or man-made factor (pesticides/fertilizers) which is specifically hindering the growth of the plant. Using an IoT sensing network which takes the readings of the crucial environmental factors and the image of the leaf lattice, it is processed under MATLAB software by the help of histogram analysis to arrive at conclusive results. © 2016 IEEE.
Kalaiarasi M.,Sir. MVIT |
Vigneswaran T.,Vellore Institute of Technology
Indonesian Journal of Electrical Engineering and Computer Science | Year: 2016
Image compression is a key technology in the development of various multimedia and communication applications. Perfect reconstruction of the image without any loss in picture quality and data is very important. This can be achieved with the Discrete Wavelet Transform (DWT), which is an efficient tool for image compression and video compression. The lifting based DWT architecture has the advantage of lower computational complexities and also requires less memory compared to the conventional convolution method. The existing DWT architectures are represented in terms of folded, flipping and recursive structures. The various architectures are discussed in terms of memory, power consumption and operating frequency involved with the given size of image and required levels of decomposition. This paper presents a survey of these architectures for 2-dimensional and 3-dimensional Discrete Wavelet Transform. This study is useful for deriving an efficient method for improving the speed and hardware complexities of existing architectures. © 2016 Institute of Advanced Engineering and Science. All rights reserved.
Patil S.,Sir MVIT |
Manjunatha D.V.,Sir MVIT |
2014 International Conference on Advances in Electronics, Computers and Communications, ICAECC 2014 | Year: 2015
Multipliers are the key components of systems viz. FIR filters, Microprocessors, Digital Signal Processors etc. which demands high performance. The performance of these applications mainly depends on the numbers of multiplication done in unit time. In real time multipliers the speed and power are the major criteria, thus faster and power efficient multipliers are needed. This paper focuses on the development of high speed, low power multipliers using Vedic Mathematics. The proposed multiplier architectures are based on the Urdhva and Nikhilam sutras of the Vedic Mathematics. The Urdhva multiplier generates the partial products and the sums in parallel. Hence, this multiplier reduces the carry propagation delay from LSB to MSB. The Nikhilam multiplier finds the compliment of the larger number of its nearest base, thus reduces the complexity in the multiplication. The proposed multipliers are designed using Carry save adder and implemented in 65nm CMOS Technology using ASIC methodology. The proposed Urdhva and Nikhilam multipliers achieve 60%, 77% improvement in speed and 37%, 50% improvement in power respectively, as compared with the power consumption of the conventional array multipliers. © 2014 IEEE.
Shantha V.,Sir MVIT |
Vijayshankar M.N.,Avasarala Technologies Ltd |
Drakshayani D.N.,Sir MVIT
International Journal of Mechanical and Materials Engineering | Year: 2013
The outstanding engineering properties of the metal tungsten are highest melting point, high mechanical strength at elevated temperatures, lowest vapour pressure, high hardness and good thermal and electrical conductivity. These unique combinations of properties are tailor-made for certain applications. One such application is for the manufacture of lamp filaments. Tungsten lamp filaments must operate at high temperature for longer duration without significant distortion of the initial coil geometry. To meet these requirements, dopants such as Aluminium(Al), Potassium (K) and Silicon (Si) are added. In the present work, experiments were conducted to study the effect of green density on sintered ingot density for different third hold currents. It was observed that the sintered ingot density increases with increase in green density at lower third hold current but sintered ingot density decreases with increase in green density at higher third hold currents.
Sowmya R.,Sir M.V.I.T |
Proceedings of 16th National Conference on Communications, NCC 2010 | Year: 2010
This paper considers the design and analysis of a filter at the receiver of a source coding system to mitigate the excess distortion caused due to channel errors. The index output by the source encoder is sent over a fading discrete binary symmetric channel and the possibly incorrect received index is mapped to the corresponding codeword by a Vector Quantization (VQ) decoder at the receiver. The output of the VQ decoder is then processed by a receive filter to obtain an estimate of the source instantiation. The distortion performance is analyzed for weighted mean square error (WMSE) and the optimum receive filter that minimizes the expected distortion is derived for two different cases of fading. It is shown that the performance of the system with the receive filter is strictly better than that of a conventional VQ and the difference becomes more significant as the number of bits transmitted increases. Theoretical expressions for an upper and lower bound on the WMSE performance of the system with the receive filter and a Rayleigh flat fading channel are derived. The design of a receive filter in the presence of channel mismatch is also studied and it is shown that a minimax solution is the one obtained by designing the receive filter for the worst possible channel. Simulation results are presented to validate the theoretical expressions and illustrate the benefits of receive filtering. ©2010 IEEE.
Ashwini R.,Sir MVIT |
Roopa K.,Sir MVIT
International Journal of Control Theory and Applications | Year: 2015
This paper presents a flower classification and identification system that takes a flower image as input and identifies it to be belonging to a particular category present in the database. It begins by performing pre-processing operations on the input image. A set of digital images are segmented using k-means clustering algorithm from which texture and color features are extracted. Texture features are extracted using Log Gabor filters and Color features are extracted by calculating Mean and Standard deviation of color distribution from R, G, and B color channels. Texture and color features are concatenated to form a feature matrix. Features are clustered using K-Means clustering algorithm and Prim's minimum spanning tree algorithm to obtain classes. Test image will undergo the same segmentation and feature extraction process. Finally test image is identified as belonging to particular class based on similarity measure. The algorithms are implemented in MATLAB using Image Processing toolbox. © 2015, International Science Press.
Kalaiarasi M.,Sir. MVIT |
Vigneswaran T.,Vellore Institute of Technology
Journal of Theoretical and Applied Information Technology | Year: 2016
Compression technique is significant in day to day scenario for smooth transmission of data. By utilizing this technique the bandwidth utilization is reduced. Even compression techniques help us for efficient memory utilization to make overall data transmission better. Data size in different cases is quite huge and difficult to send without compressing it. In the bio- medical arena, it is applicable because of the large image size, but at the same time it is having its own challenges in terms of data loss. While reconstructing the image, the possibility of data loss or quality loss comes into picture. Though there are many techniques which suggest lossless compression and decompression but still refinement is required. There are techniques using discrete wavelet transform to do the lossless image compression. The recent one is the Three-Dimensional Discrete Wavelet Transform (3-D DWT). In this research work, a lifting based Discrete Wavelet Transform architecture for three dimensional images is presented. The proposed architecture has been implemented on Xilinx Virtex-6 Series Field-Programmable Gate Array (FPGA). Implementation results show the efficiency of proposed system in terms of power consumption and operating frequency. The proposed architecture of Discrete Wavelet Transform achieves a maximum operating frequency of 298 MHz with a power consumption of 7 mW. © 2005 - 2016 JATIT & LLS. All rights reserved.
Anitha M.,Sir. MVIT |
2015 IEEE Underwater Technology, UT 2015 | Year: 2015
In Multi-sensor data fusion technology, array processing is an area of signal processing. A sensor array captures spatially propagating signals arriving from a certain direction and processes them to obtain useful information. To this end, it is intended to linearly combine the signals from all the sensors with coefficients in a manner, so as to estimate transmitted data radiating from a specific direction. In beamforming, an array processor steers a beam to a certain direction by computing a properly weighted sum of the individual sensor signals just as an finite impulse response (FIR) filter generates an output (at a frequency of interest) that is the weighted sum of time samples. Current methods to calculate the weight coefficients are complex. Designed model is a simple and effective weight coefficient calculation method based on improved decision tree model where it combines the best features of neural network and decision trees. This technique is based on the optimum beamformer and makes it robust to an faulty estimate of the Direction Of Arrival (DOA) even when powerful interferences are within the uncertainty range of the desired source. The proposed algorithm is the product of an effort to provide more efficient procedure for real time implementation of array signal processing and is useful for wireless communication with Binary Phase Shift Keying signalling. © 2015 IEEE.
Anitha M.,Sir MVIT |
2015 International Conference on Communication and Signal Processing, ICCSP 2015 | Year: 2015
In the information technology age, multisource multi-sensor information fusion encompasses the theory, methods and tools conceived and used for exploiting synergy in the information acquired from multiple sources databases, sensors. In Multi-sensor data fusion technology, array processing is an area of signal processing that has powerful tools for extracting information from signals collected using an array of sensors. A sensor array captures spatially propagating signals arriving from a certain direction and processes them to obtain useful information. To this end, we intend to linearly combine the signals from all the sensors with coefficients in a manner, so as to estimate transmitted data radiating from a particular direction. Current methods to calculate the weight coefficients are complex. simple and effective weight coefficient calculation method is considered and which is based on where the best features of neural network and fuzzy logic is combined. This technique is based on the optimum beamformer and makes it robust to an faulty estimate of the Direction Of Arrival (DOA) even when powerful interferences are within the uncertainty range of the desired source or contact. The new modified beamformer algorithm is the product of an effort to provide more efficient procedure for real time implementation and a better estimate of the position and spectrum of the contact which is helpful in measurement data fusion or localization. © 2015 IEEE.
Rajesh N.,Sir MVIT |
Rajesh N.,Tamil University |
Selvakumar A.A.L.,Rajiv Gandhi Institute of Technology
International Journal of Advanced Intelligence Paradigms | Year: 2015
Privacy preserving data mining (PPDM) is a new direction in the area of data mining, where privacy preserving techniques have been applied to maintain the data privacy. Example through the process of data mining the sensitive data of an individual can be inferred as well as personal information and patterns from non-sensitive data. PPDM (Rajesh and Selvakumar, 2014) based on enumeration and concatenation of attributes using k-anonymity where, the original data is combined using only two attributes to show encrypted one quasi-identifier. So, we proposed a new approach called hiding personalised anonymity for enumerating and concatenating of attributes using PPDM for combination of three attributes to show encrypted one quasi-identifier. We can reconstruct the attributes using encrypted attribute. In this work, we proposed PPDM for combination of three attributes and two level encrypting methods in order to protect the more secure personal information for avoiding sensitive issues using unlimited records. © 2015 Inderscience Enterprises Ltd.