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Gopi K.,Sreenivasa Institute of Technology and Management Studies
Journal of Theoretical and Applied Information Technology | Year: 2014

The images play an important role in many of the applications. There are several techniques to compress these images in order to reduce the size of the image without any loss of data. This paper proposes an effective technique to compress the medical images using an improved ridgelet transform. This improved technique replaces the discrete wavelet transform in the ridgelet transform with the slantlet transform. This slantlet transform is an orthogonal DWT and has two zero moments with improved time localization. In this proposed technique the medical image is compressed using the improved ridgelet transform and then we apply thresholding and quantization methods to the ridgelet coefficients of the compressed medical image. Also the proposed technique requires only minimum number of coefficients for reconstructing the medical image without any loss of data. Comparison is made between the ridgelet transform and the proposed improved ridgelet transform in terms of SDME and this technique assures to provide higher signal to noise ratio. © 2005 - 2014 JATIT & LLS. All rights reserved.


Guru Jawahar J.,Anamachariya Institute of Technology and science | Venkat Kiran P.,Anamachariya Institute of Technology and science | Chiranjeevi S.,Sreenivasa Institute of Technology and Management Studies | Surya Prakesh M.,Sreenivasa Institute of Technology and Management Studies | Purushotham Reddy Y.,Sreenivasa Institute of Technology and Management Studies
Asian Journal of Civil Engineering | Year: 2016

In this investigation, broiler hen egg was used as Natural admixture (NAD) to study the effect on mechanical properties of Conventional Concrete (CC) and Class C Fly Ash (FA) blended concrete. Cement was replaced by fly ash at various levels of 0%, 25%, 35% and 45% and broiler hen egg mixed sample (white albumen and yellow yolk) was added to concrete at different replacement dosages of 0%, 0.25%, 0.5%, 1.00%, 1.5% and 2.0% to water content and liquid to binder ratio was maintained at 0.5. For all replacement levels of NAD and FA, the mechaincal properites viz unit weight, compressive strength, splitting tensile strength and modulus of elasticity of CC and Class C fly ash (FA) were studied at 7, 28 and 56 days. From the results, it was concluded that 0.25% of NAD dosage was considered as optimum dosage for both CC and class C fly ash blended concrete.


Balakrishna U.,Sreenivasa Institute of Technology and Management Studies
OPSEARCH | Year: 2012

In this paper the "Generalized Time-dependent Travelling Salesman Problem" is a three dimensional travelling salesman problem where the cost matrix C (i, j, k) is the cost of the salesman visiting from city i to city j at time (facility) k. The cost matrix C(i,j,k) [i,j 0 1,2,3,.....,n;k 0 1,2,3,.....,m] is given. There are n cities and N 0 {1, 2, 3,..., n}. We are given a partition of cities into groups and we require to find a minimum length tour that includes at least one city from each group. The problem is to find a feasible tour for m(


Reddy K.S.K.,Sreenivasa Institute of Technology and Management Studies | Rajaveerappa D.,Global Institute Of Engg Andtech | Banu S.K.,Sreenivasa Institute of Technology and Management Studies
2013 4th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2013 | Year: 2013

In Wireless Wide Area Network (WWAN), QoS are important, especially in Multimedia applications like Skype calls. The Internet is today facing a change of the traffic type dominating the aggregates at network core and edges. Interactive VoIP and videoconferencing are currently having an exponential growth of usage. To dynamically determine the appropriate streaming bit rate and quality, the server needs to closely track the underlying bandwidth conditions. Several such rate control algorithms have been proposed for streaming application. These algorithms are reactive in nature, in that, they monitor the video play out buffers or certain end-to-end network parameters and adapt streaming rate depending on the changes in the observed values. This paper analyzes the performance of Bandwidth Map-TCP Friendly Rate Control (BW-MAP-TFRC) algorithm for improving QoS in streaming applications using different performance indices and then relatively compares the results available from these indices. © 2013 IEEE.


Pamulety T.C.,Sreenivasa Institute of Technology and Management Studies | George J.,National Institute of Technology Calicut | Pillai V.M.,National Institute of Technology Calicut
Journal of Industrial and Production Engineering | Year: 2016

This paper proposes an inventory position-based policy, and its performance is assessed in terms of supply chain fill rate, bullwhip effect and total cost of supply chain under different scenarios. The scenarios are developed considering the different levels of supply chain structures, demand patterns, and information sharing strategies. Under each scenario, the performance of the proposed policy is compared with the other inventory position-based policies such as Order-Up-To, Order-Up-To smoothing, (s, S) and (s, Q) using spreadsheet-based simulation methodology. The multi-attribute performance comparison, grey relational analysis, shows that the proposed policy is the best compared to other policies tested because of the better performance in supply chain fill rate and order smoothing. The simulation study provides sufficient insights to managers in selecting a suitable inventory policy based on the operating conditions of a supply chain and multiple performance measures. © 2016 Chinese Institute of Industrial Engineers


Pembusani S.,Sreenivasa Institute of Technology and Management Studies | Gudipalli A.,Vellore Institute of Technology | Mahadevan S.,Sri Venkateswara University
Journal of Theoretical and Applied Information Technology | Year: 2014

Wireless sensor networks is one of the active research area now a days due to its vast applications in different fields such as defense, civilian and medical fields. One of the basic challenges in the design of Wireless Sensor Network (WSN) is maximizing their lifetime because of the sensors placement in remote places which is having batteries as power sources. To extend the WSN lifetime, energy management is the most important and critical aspect, for that we need different techniques in different aspects of WSN. This paper presents some methods which will be useful to minimize energy consumption in sensor networks and to increase lifetime of the WSN. Sensor nodes are using batteries as their power sources, effective and efficient utilization of these power sources is essential in order to use sensor networks for longer period hence it is required to reduce data transfer rate inside sensor networks, reduce amount of data that required to send to base station. For this, data aggregation methods are useful for aggregating data in an effective energy efficient manner so that network lifetime will enhance. In most applications once WSN deployed, it should continue to work for a long period of time, without the maintenance of the nodes and the replacement of their energy sources. Each sensor node in the network consumes power in different stages like sensing data, processing data and transmitting/receiving. In all stages minimizing energy consumption is required. Therefore routing protocols designed which should minimize power consumption in every stage of WSN because of its effective function. © 2005 - 2014 JATIT & LLS. All rights reserved.


Giridhar M.S.,Sreenivasa Institute of Technology and Management Studies | Sivanagaraju S.,P.A. College
2010 Joint International Conference on Power Electronics, Drives and Energy Systems, PEDES 2010 and 2010 Power India | Year: 2010

In this paper we present a novel way of modeling the transformer load variation using Fuzzy Sets. A standard rural distribution transformer load variation that is uncertain over a period of 24-hour duration is modeled as fuzzy trapezoidal membership functions (Type-1). Here we have considered a rural distribution feeder as our test system, for which total kVA duration curves are measured for each day of a month, from which the kVA loading at each node is obtained based on the kVA ratings of the respective transformers at that nodes. The total one month trapezoidal membership functions (Type-1 trapezoidal membership functions for a single day) together are represented as Interval Type-2 Trapezoidal membership function, so that the uncertainties in the load variations at the transformer are taken into consideration. The proposed transformer load modeling and measures of uncertainty of type-2 fuzzy set helps the system planner to study the distribution system voltage profile, power losses and power flow variations under uncertain load variation conditions. © 2010 IEEE.


Hari Prabakaran P.,Sreenivasa Institute of Technology and Management Studies | Hemadri Reddy R.,Vellore Institute of Technology | Saravana R.,Madanapalle Institute of Technology and Science | Kavitha A.,Vellore Institute of Technology | Sreenadh S.,Sri Venkateswara University
Advances and Applications in Fluid Mechanics | Year: 2015

We study the MHD peristaltic motion of a Jeffrey fluid in a porous channel with the influence of compliant walls, heat and mass transfer under the assumptions of long wavelength and low Reynolds number. The analytical expressions for the stream function, velocity, temperature and concentration are obtained. The results for velocity, temperature and concentration obtained in the analysis are discussed through graphs for various physical parameters of interest. © 2015 Pushpa Publishing House, Allahabad, India.


Reddy K.S.K.,Sreenivasa Institute of Technology and Management Studies | Rajaveerappa D.,Vellore Institute of Technology | Banu S.K.,Sreenivasa Institute of Technology and Management Studies
Proceedings - 2013 International Conference on Emerging Trends in Communication, Control, Signal Processing and Computing Applications, IEEE-C2SPCA 2013 | Year: 2013

Now-a-days finding location of mobile vehicles is a very important issue in cellular radio network. For locating mobile users we have several methods and mobile position estimation technologies such as Time Difference of Arrival (TDOA), Enhanced Observed Time Difference of Arrival (E-OTD), Angle of Arrival (AOA), Time of Arrival (TOA), Received Signal Strength (RSS) indication, and GPS systems. But all these technologies have several disadvantages such as having no security, need of special type of antennas, highly complex design algorithms, high estimation time, and high cost. So, our proposed method develops an efficient, less time consuming, robust, secured, and economical method of finding location of mobile vehicles using two base station method based on Doppler shifted signals. We have designed and implemented the proposed method using MATLAB simulation and results show that our method gives more accurate values of location of mobile vehicles compared to other existing methods. © 2013 IEEE.


Kiran S.R.,Sreenivasa institute of Technology and Management studies | Sairama T.,Sreenivasa institute of Technology and Management studies | Varadarajan S.,Sri Venkateswara University
International Review on Modelling and Simulations | Year: 2013

A servo system, sometimes also called as servomechanism, is a mechanical device that uses error-sensing negative feedback to correct the performance of a mechanism. A servo system is a well known control system that performs its controlling action through a plant, controller, and an actuator. Any machine or piece of equipment that has rotating parts contains one or more servo control systems for controlling the nonlinearities in the system. These mechanical devices usually come with undesirable nonlinearities. Hence, due to these nonlinearities the frequency domain system identification process in servo system seems to be a tough task. To overcome the problem, in the paper, an adaptive hybrid technique will be proposed. The proposed adaptive hybrid technique is combined with adaptive neural network and adaptive genetic algorithm. In the proposed adaptive hybrid technique, the input training dataset and the number of hidden layer of network is optimized by classical genetic algorithm. Then, the system parameters are optimized by the proposed adaptive genetic algorithm. The proposed adaptive hybrid technique is implemented in MATLAB working platform and the system identification performance is tested by using two testing system. Then, the adaptive hybrid technique is compared with classical system and conventional hybrid technique. © 2013 Praise Worthy Prize S.r.l. - All rights reserved.

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