Government Engineering College Idukki

Kerala, India

Government Engineering College Idukki

Kerala, India
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Sivakumar R.,Government Engineering College Idukki
Proceedings - 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013 | Year: 2013

The proposed system uses the principle of illuminating a sample with a laser beam and collecting the emitted photons through the sample using an array of photo detectors placed in fan beam geometry. Tissue model phantoms with different optical properties are used here for checking the effectiveness of the system. On the diffusely transmitted photons coming out of the sample, tomographic principles are applied to obtain the cross sectional details or tomogram of the tissue models and thereby checking for any abnormalities. The reconstruction of the tomogram was achieved by using convolution back projection algorithm and the whole system works on the basis of transillumination principle. © 2013 IEEE.


George L.M.,Government Engineering College Idukki | Remesh Babu K.R.,Government Engineering College Idukki
Proceedings of IEEE International Conference on Emerging Technological Trends in Computing, Communications and Electrical Engineering, ICETT 2016 | Year: 2017

Smart phones with integrated sensors have the ability to provide different mobile crowd based services which in turn called mobile crowd sensing (MCS) in Internet of Things (IoT). But utilization ratio of this ability by mobile users is less. Several interaction issues exist between the mobile users. This paper mainly focuses on building an effective route for crowd sourcing services from requester to provider. Crowd sensing is a process of obtaining information or data from the people and providing services to the crowd using the same data. Users are selected for being a part of the route only if they contribute to successful services history. Android application model is developed using these ideas which is the client side. Provision for connecting to server based on the user location and route map is also included in the model design to improve the effectiveness of Mobile Crowd Sensing (MCS) technology. © 2016 IEEE.


Mohandas M.,Government Engineering College Idukki | Remesh Babu K.,Government Engineering College Idukki
Proceedings of IEEE International Conference on Emerging Technological Trends in Computing, Communications and Electrical Engineering, ICETT 2016 | Year: 2017

Due to the large scale advancements and applications in cloud technology, almost all the organizations prefer to use cloud computing rather than traditional storage mechanisms. Huge datacenters have been widely used to host cloud services, which are typically allocated to different virtual machines (VMs) through which resources multiplexing across shared physical servers. Most of the existing studies only focus on power-saving and load scheduling scenarios. Inorder to meet the Service-Level-Agreement (SLA) by the cloud applications, this paper proposes an efficient protocol for live migration of VMs in homogenous cloud. This protocol will find suitable VMs from the sources as well as host PM to which the migration should be done. Finally, the efficiency of the proposed live migration technique is compared with the traditional FFD algorithm. © 2016 IEEE.


Babu P.,Government Engineering College Idukki | Remesh Babu K.R.,Government Engineering College Idukki
Proceedings - 2016 International Conference on Micro-Electronics and Telecommunication Engineering, ICMETE 2016 | Year: 2017

Cloud computing provides inexpensive access and use of high-end computing resources to the customers over internet. The optimal cloud resources allocation is crucial for customer satisfaction as well as for revenue maximization of cloud service provider. The proposed system contains two concepts that is cooperation and competition among providers for efficient resource allocation. In competition process providers will compete against each other to satisfy the user. Simultaneously itproposes a price policyat each stage. If all providers are satisfied, then that will be the optimum price policy. Second method is the cooperation, here all providers cooperate each other to decide which all providers will become the outsourcing provider and hosting provider. Outsourcing provider will outsource the resource request to other provider to get high revenue. Hosting provider will services its own resource request if its revenue when outsourcing is not higher than hosting revenue. © 2016 IEEE.


Remesh Babu K.R.,Government Engineering College Idukki | Saranya S.,Government Engineering College Idukki | Samuel P.,Cochin University of Science and Technology
Advances in Intelligent Systems and Computing | Year: 2016

Multi-tenant applications come into existence in clouds, which aims “better resource utilization” for application provider. Today most of the present application optimizations are based on Service Level Agreements which focuses on virtual machine (VM) based computing service, while other services such as storage and cache are often neglected. This paper mainly focuses on cache based approach for multi-tenant application on PaaS. Currently in multi-tenant cloud applications data are often evicted mistakenly by cache service, which is managed by existing algorithms such as LRU. It keeps the query information to reload the evicted data from storage which might be sensitive. Hence there is a possibility of data breach when these data are accessed improperly by other tenants. For faster access caching of the data is common in cloud based applications while the security is an important area that should not be neglected when these systems uses other third party systems/networks as caching servers. Also security of the tenant’s data/information is also a crucial component of the SLA between cloud service provider and tenant. So this paper proposes a DES based information security framework within Platform as a Service (PaaS) for better security and Quality of Service (QoS). © Springer International Publishing Switzerland 2016.


Suryan A.,Government Engineering College Idukki | Kim H.D.,Andong National University | Setoguchi T.,Saga University
International Journal of Hydrogen Energy | Year: 2013

Compressed hydrogen gas is a popular mode of fuel storage for hydrogen powered vehicles. When hydrogen gas is filled at high pressure, the gas temperature increases. The maximum gas temperature should be within acceptable safety standards. Numerical studies can help optimize the filling process. There is a high level of turbulence in the flow as the high velocity inlet jet is penetrating the nearly stagnant gas in the tank. Selection of a suitable turbulence model is important for accurate simulation of flow and heat transfer during filling of hydrogen tanks. In the present work, a comparative study is performed to identify suitable turbulence model for compressed hydrogen tank filling problem. Numerical results obtained with different turbulence models are compared with available experimental data. Considering accuracy, convergence and the computational expenses, it is observed that the realizable k-ε model is the most suitable turbulence model for hydrogen tank filling problem. Copyright © 2013, Hydrogen Energy Publications, LLC. Published by Elsevier Ltd. All rights reserved.


Parakkat A.D.,Government Engineering College Idukki | Peethambaran J.,Indian Institute of Technology Madras | Joseph P.,Government Engineering College Idukki | Muthuganapathy R.,Indian Institute of Technology Madras
Computer-Aided Design and Applications | Year: 2015

ABSTRACT: We present a method to extract the contour of geometric objects embedded in binary digital images using techniques in computational geometry. Rather than directly dealing with pixels as in traditional contour extraction methods, we process on object point set extracted from the image. The proposed algorithm works in four phases: point extraction, Euclidean graph construction, point linking and contour simplification. In point extraction phase, all pixels that represent the object pattern are extracted as a point set from the input image. We use the color segmentation to distinguish the object pixels from the background pixels. In the second phase, a geometric graph G=(V,E) is constructed, where V consists of the extracted object point set and E consists of all possible edges whose Euclidean distance is less than a threshold parameter, l ; which can be derived from the available information from the point set. In point linking phase, all border points are connected to generate the contour using the orientation information inferred from the clockwise turn angle at each border point. Finally, the extracted contour is simplified using collinearity check. Experiments on various standard binary images show that the algorithm is capable of constructing contours with high accuracy and achieves high compression ratio in noisy and non-noisy binary images. © 2015, © 2015 CAD Solutions, LLC.


Suryan A.,Government Engineering College Idukki | Kim H.D.,Andong National University | Setoguchi T.,Saga University
Journal of Mechanical Science and Technology | Year: 2013

Environmental pollution and rapid depletion of fossil fuels had necessitated the search for alternative technologies and energy sources for transportation. Hydrogen fuel can be an environment friendly alternative. High pressure gas is a widely used storage mode for hydrogen fuel. Refueling of a vehicular hydrogen tank should be reasonably short to gain consumer acceptability. However, quick filling at high pressures can result in high temperatures. This should be avoided because of safety reasons. A numerical model can aid in optimizing the filling up process. The paper reports the numerical simulation of the refueling of high pressure hydrogen tanks using computational fluid dynamics method. Real gas equations are included to accurately simulate the process at the high temperature and pressure associated with the fast filling. Local temperature distribution in the tank is obtained at different durations of the fill. The numerical results obtained are validated with available experimental data. The results give an accurate visualization of the thermo fluid dynamic behavior of hydrogen gas during fast filling. © 2013 The Korean Society of Mechanical Engineers and Springer-Verlag Berlin Heidelberg.


Chandran S.,Government Engineering College Idukki
2014 International Conference on Power Signals Control and Computations, EPSCICON 2014 | Year: 2014

This paper presents the MatlabbbSimulation of fuzzy logic based Sensorless sindirect vector control of induction motor with a rotor resistance adaptation scheme using Neural Learning Algorithm. Here the fuzzy controller offers superior transient performance when compared with the conventional control algorithms using PI controller. Rotor resistance of the motor changes significantly with temperature and frequency. This variation has a major influence on the field oriented control performance of an induction motor due to the deviation of slip frequency from the set value. This paper also uses neural learning algorithm for adaptation in a MRAS based rotor resistance estimator for making the robust against rotor resistance variation. © 2014 IEEE.

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