BMS Institute of Technology and Management

Bangalore, India

BMS Institute of Technology and Management

Bangalore, India
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Arunkumar B.R.,BMS Institute of Technology and Management | Kavya L.H.,BMS Institute of Technology and Management
2016 IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016 - Proceedings | Year: 2016

Energy and connectivity are basic as well as criticalissues in MANET. Since each node is furnished with a limited battery power and has to perform several activities including forwarding/transmitting, receiving of packets and implementing security mechanisms etc., conservation of energy is essential. Since nodes keep moving arbitrarily in MANET, topology keeps changing. Therefore, connectivity is yet another key issue. As both connectivity and energy influences the topology in MANET, topologymaintenance/control in MANET needs much attention in analyzing the energy and connectivity of the network. Topology construction/control and maintenance requires input from energy and connectivity analysis. This paper is to investigate and analyzedifferent energies namely Randic Energy, Euclidian Energy and Connectivity using Connectivity Index with respect to K-Connected MANETs. Spectral graph theory concepts such as Matrix andEigenvaluesare used to calculate energy of K-Connected MANET. Undirected graph is used to represent the MANET.Simulation experiment is carried out in the environment of MATLAB. © 2016 IEEE.


Yashavantha Kumar G.A.,BMS Institute of Technology and Management | Sathish Kumar K.M.,BMS Institute of Technology and Management
Materials Today: Proceedings | Year: 2017

The integration of composite beam with piezoelectric materials has been under a considerable attention to obtain active lightweight material. Smart materials will control the system in terms of reducing the vibrations amplitude and frequency so as to improve the efficiency of the system. Piezoelectric materials are often used to design smart structures in industrial, medical, military and scientific areas. The aim of the present study is to study the free vibration behaviour of a smart composite beam structure. Smart beam consists of composite beam modelled in cantilever configuration with PZT patches. The modal analysis of the smart cantilever beam was performed using the ANSYS software to reveal the fundamental modal frequencies and modal shapes. It can be inferred that the Modal analysis performed is usefull for applications in structural health monitoring of the smart composite structures. The changes in the mode shapes are used as an indicator to ascertain the damage to the smart composte beam structure. © 2017 Elsevier Ltd.


Athavale P.A.,BMS Institute of Technology and Management
Souvenir of the 2015 IEEE International Advance Computing Conference, IACC 2015 | Year: 2015

This paper deals with Bi-modal Image segmentation with active shape model. This method has been applied to varieties of segmentation problems, where considerable information about the shape is available. The discussion about the implementation on a set of both synthetic and natural bimodal images is presented. © 2015 IEEE.


Athavale P.A.,BMS Institute of Technology and Management
2015 International Conference on Emerging Research in Electronics, Computer Science and Technology, ICERECT 2015 | Year: 2015

In this paper we discuss about the implementation of Active Shape Model based contour detection algorithm on the digital x-rays of lungs. The effect of considering the mean values while forming the gray level profiles is shown and a modified method where median values improve the result is also presented. © 2015 IEEE.


Sikdar K.,BMS Institute of Technology and Management | Samanta S.K.,National Institute of Technology Raipur
Souvenir of the 2015 IEEE International Advance Computing Conference, IACC 2015 | Year: 2015

This research work carried on GI/Geo/1/K queue with N threshold policy. The server resumes it service when the number of consumers in the queue reaches a pre-specified value N. This article describes modeling and detail analysis on the above mentioned model. The arbitrary and prearrival epochs probabilities are being obtained for the steady state distribution. The distribution of the waiting time and various performance measures are studied. At the end, the computational results are presented. This model can be applied on various networking/industrial automation system. © 2015 IEEE.


Aparna K.,BMS Institute of Technology and Management | Nair M.K.,M.S. Ramaiah Institute of Technology
International Journal of Applied Engineering Research | Year: 2015

In today‟s world, the volume of data is growing at a greater pace. Apparently, most of the data mining applications deal with these voluminous datasets. It is not easy to develop efficient clustering algorithms because of curse of dimensionality. The quality of clusters varies as the dataset tends to become larger. The most widely used clustering algorithm is the K-Means algorithm. But it comes with several drawbacks including time consumption and expensive computation. To overcome these limitations, a novel partitional clustering algorithm is proposed called HB-K Means (High Dimensional Bisecting K-Means) algorithm. In this algorithm, the high dimensional dataset is converted to Attribute Frequency Matrix and it is then clustered using the modified Bisecting K-Means algorithm. The experimentation is carried out on two large datasets of UCI machine learning repository and the proposed algorithm has achieved better clustering accuracy and lesser computation time compared to the traditional K-Means clustering algorithm. © Research India Publications.


Setty S.,Don Bosco Institute of Technology | Srinath N.K.,Rashtreeya Vidyalaya College of Engineering | Hanumantharaju M.C.,BMS Institute of Technology and Management
Advances in Intelligent Systems and Computing | Year: 2016

Image contrast enhancement and highlighting the prominent details based on edge preserving are the fundamental requirement of medical image enhancement research. This paper presents the Multi-Scale Retinex (MSR) enhancement of Magnetic Resonance (MR) medical images using split and merge technique. The main limitations of the retinex based image enhancement schemes is computational complexity, halo artifacts, gray world violation, over enhancement etc. There exist various extensions for retinex methods developed by over a dozens of researchers, but most of the techniques are computationally complex. This is due to the fact that the image details are improved at the cost of increased computational complexity. The proposed method is efficient in computation, since the original input image is splitted into a size of 8 × 8 and then gray level Fast Fourier Transform (FFT) based retinex algorithm is exploited to improve the quality of sub-image. Reconstructed image is produced by merging each of the enhanced versions to the original image resolution. This scheme is validated for MR medical images and the parameters of the retinex method is adjusted to improve the contrast, details and overall quality image. Experimental results presented confirms that the proposed method outperforms compared to existing methods. © Springer India 2016.


Vishalakshi G.R.,Dayananda Sagar College of Engineering | Hanumantharaju M.C.,BMS Institute of Technology and Management
Advances in Intelligent Systems and Computing | Year: 2016

Video enhancement becomes a very challenging problem under low lighting conditions. Numerous techniques for enhancing visual quality of videos/images captured under different environmental situations are proposed by number of researchers especially in dark or night time, foggy situations, rainy and so on. This paper discusses brief review of existing algorithms related to video enhancement techniques under various lighting condition such as De-hazing based enhancement algorithm, a novel integrated algorithm, gradient based fusion algorithm and dark channel prior and in addition it also presents advantages and disadvantages of these algorithms. © Springer India 2016.


Aparna K.,BMS Institute of Technology and Management | Nair M.K.,M.S. Ramaiah Institute of Technology
International Journal of Technology | Year: 2016

Data clustering is one of the major areas in data mining. The bisecting clustering algorithm is one of the most widely used for high dimensional dataset. But its performance degrades as the dimensionality increases. Also, the task of selection of a cluster for further bisection is a challenging one. To overcome these drawbacks, we developed a novel partitional clustering algorithm called a HB-K-Means algorithm (High dimensional Bisecting K-Means). In order to improve the performance of this algorithm, we incorporate two constraints, such as a stability-based measure and a Mean Square Error (MSE) resulting in CHB-K-Means (Constraint-based High dimensional Bisecting K-Means) algorithm. The CHB-K-Means algorithm generates two initial partitions. Subsequently, it calculates the stability and MSE for each partition generated. Inference techniques are applied on the stability and MSE values of the two partitions to select the next partition for the re-clustering process. This process is repeated until K number of clusters is obtained. From the experimental analysis, we infer that an average clustering accuracy of 75% has been achieved. The comparative analysis of the proposed approach with the other traditional algorithms shows an achievement of a higher clustering accuracy rate and an increase in computation time. © IJTech 2016.


Varsha V.K.,BMS Institute of Technology and Management | Bhavana S.J.,BMS Institute of Technology and Management
2015 IEEE Radio and Antenna Days of the Indian Ocean, RADIO 2015 | Year: 2015

This work concentrates on design of antennas in micrometer range that corresponds to infrared frequencies. The antenna is made to resonate around 10 micrometer range, which is the peak of IR radiations reaching the earth's surface. Various studies of different antenna designs were carried out and Bow-Tie antenna is selected as the final design based on its geometrical features that enhance the voltage output. Bow-Tie antenna with design variation of, base length 2.1μm, arm length 3μm, gap size 1nm and substrate height 0.5μm is proposed. The mentioned basic antenna design is analyzed by incorporating various geometries of slots to study the effect on voltage output. Further the Bow-Tie antenna array is investigated over approximately the same area as in the single antenna element and its dependence on voltage output is also examined. © 2015 Radio Society (Mauritius).

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