MNM Jain Engineering College

Chennai, India

MNM Jain Engineering College

Chennai, India
SEARCH FILTERS
Time filter
Source Type

Kathiresan S.,MNM Jain Engineering College | Mohan B.,Anna University
Biomedical Research (India) | Year: 2017

Objective: To study the effect of Magneto rheological abrasive flow finishing (MRAFF) of stainless steel 316L (SS316L) on bacterial adhesion. Methods: In the MRAFF process, four different SS316L samples were obtained by varying the magnetic flux density from 0.06 tesla to 0.247 tesla by varying the electromagnetic current. In order to study the bacterial adhesion behavior on SS316L samples with respect to the surface roughness at nano level, three different medically significant bacteria such as Escherichia coli, Klebsiella pneumonia and Bacillus subtillis were used and bacterial adhesions were studied by means of Colony Forming Units (CFU) plate counting. In order to visualize the bacterial attachments with the metallic surface, epifluorescent images were used. Results and discussion: The average surface roughness of the samples was decreasing with the increase of magnetic flux density and they were analysed by means of Coherence Correlation Interferometer (CCI). The range of nano level surface roughness values obtained on the steel surface is 10.52 nm to 37.4 nm. With the same sample surface roughness of 37.4 nm, the bacteria Klebsiella pneumonia has got highest adherence of 47 × 108 CFU/ml and Escherichia coli has got least adherence of 28 × 108 CFU/ml. The inhibit nature of the 316L stainless steel towards the bacterial attachment was higher for Escherichia coli with 19 × 108 CFU/ml for the sample with the minimum average surface roughness, while for the other two bacteria, the inhibition were least and identical with 13 × 108 CFU/ml. Conclusion: From the experimental results with respect to the bacterial Colony Forming Units (CFU), it was observed that the attitude of bacterial adhesion was more on higher surface roughness and less at the least surface roughness in the period of incubation of 18 h. It also depends on the type of the bacterial cell and its geometry. © 2017, Scientific Publishers of India. All rights reserved.


Doss L.J.T.,Anna University | Nandini A.P.,Mnm Jain Engineering College | Devaraj P.,Anna University
AIP Conference Proceedings | Year: 2017

A quadrature based mixed Petrov-Galerkin finite element method is applied to a fourth order linear non-homogeneous ordinary differential equation with variable coefficients. After employing a splitting technique, a cubic spline trial space and a piecewise linear test space are considered in the method. The integrals are then replaced by Gauss quadrature rule in the formulation itself. Optimal order apriori error estimates in W k,p-norms for k = 0, 1, 2 and 1 ≤ p ≤ ∞ are obtained without any restriction on the mesh, not only for the approximation of the exact solution also for its second derivative. These error estimates are validated by a suitable numerical example. © 2017 Author(s).


Rithika H.,MNM Jain Engineering College | Nithya Santhoshi B.,MNM Jain Engineering College
2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016 | Year: 2017

The main problem in communication is language bias between the communicators. This device basically can be used by people who do not know English and want it to be translated to their native language. The novelty component of this research work is the speech output which is available in 53 different languages translated from English. This paper is based on a prototype which helps user to hear the contents of the text images in the desired language. It involves extraction of text from the image and converting the text to translated speech in the user desired language. This is done with Raspberry Pi and a camera module by using the concepts of Tesseract OCR [optical character recognition] engine, Google Speech API [application program interface] which is the Text to speech engine and the Microsoft translator. This relieves the travelers as they can use this device to hear the English text in their own desired language. It can also be used by the visually impaired. This device helps users to hear the images being read in their desired language. © 2016 IEEE.


Deebika D.,MNM Jain Engineering College
Biomedical and Pharmacology Journal | Year: 2015

The main objective of this research article is to use Augmented Reality for medical imaging for advancement in Images developed from Ultrasound Scans, and microscopy images to be combined with videos. This combination of Scan Images mediated with video and audio enables the viewing of fetus moments to be incorporated as an video in the image to be watched by the medical consultant for all its sensory movements. This paper is designed with the intention to develop augmented reality to combine real time images of fetus with its actual videos showing its gestures, movements, and posture inside the uterus. This showcases the Doctors to examine patients while viewing superimposed medical images. In addition, this augmented reality mobile applications can provide the surgeon with certain essential information, which are usually not visible such as showing heartbeat, blood pressure. This application let a doctor by looking into images such an X-ray combined with the patients photograph, disease name, symptoms and even videos. For example, All these helps the specialist in visualizing the position of a tumor in the video of an endoscope or radiation exposure risks from X-ray Imaging devices.


Kalaivaani P.T.,MNM Jain Engineering College | Rajeswari A.,Coimbatore Institute of Technology
Wireless Personal Communications | Year: 2016

Wireless Sensor Networks (WSNs) are more popular due to the use of low cost sensors with their interfaces. In designing of WSNs, energy conservation is a main issue. The nodes available in WSNs use battery as limited energy source. Various techniques have been proposed to improve the energy efficiency in WSNs. Energy efficient Medium Access Control (MAC) protocol is required for obtaining higher energy efficiency during difficult operating conditions, where node failure and link failures are common. Cross layer approach between data link and network layer is adapted in the proposed work. In the proposed work, the MAC protocols such as Correlation based Collaborative MAC (CC-MAC), CC-MAC combined with Hybrid MAC, Hybrid MAC, Hybrid MAC combined with sensor MAC have been considered for analysis. Two popular routing protocols such as Ad hoc On-demand Distance Vector, Ad hoc On-demand Multipath Distance Vector are also considered to identify the routing performance of the network. The Parameters such as end-to-end delay, packet drop, packet delivery ratio, throughput, energy efficiency are considered to measure the network performance. These parameters are acting as a primary and secondary attributes to design an efficient MAC protocols for WSNs. © 2016 Springer Science+Business Media New York


Pankajavalli P.B.,Mother Teresa Women's University | Arumugam N.,MNM Jain Engineering College
European Journal of Scientific Research | Year: 2011

Ad-hoc network is a collection of mobile nodes dynamically forming a temporary network without the use of any existing infrastructure or centralized administration. Building such a network poses many technical challenges such as routing, energy consumption, load balancing, and security. Routing in mobile ad-hoc network (MANETs) becomes more sophisticated issue especially when a certain quality of service (QOS) requirement is to be satisfied. This paper concentrates on two technical challenges such reliability in routing and energy consumption. In this paper an algorithm is proposed and implementation of this algorithm is done via simulation. Simulation results prove that the new algorithm performs better in terms of reliability, energy consumption. © EuroJournals Publishing, Inc. 2011.


Sivabalakrishnan M.,Vellore Institute of Technology | Shanthi K.,MNM Jain Engineering College
Smart Innovation, Systems and Technologies | Year: 2016

Background subtraction is a very popular approach for foreground segmentation in a still scene image. A common approach is to perform background subtraction, which identifies moving objects from the portion of a video frame that differs significantly from a background model. Each video frame from the sequence is compared against a reference frame. There are several problems that a good background subtraction algorithm must resolve. To achieve robust background subtraction is required to have reliable and effective background estimation. In the existing system the background reference image is arbitrarily chosen. This paper presents a novel background estimation algorithm based on improved mode algorithm to obtain static background reference frame from input image. Evaluation of the background extraction is presented in this paper. The experimental results of using background image estimated by background estimation method are faster and accurate in background subtraction. The major goal is to obtain a clean static background reference image using a real-time video. © Springer International Publishing Switzerland 2016.


Nayak N.C.,Mnm Jain Engineering College | Rajan C.C.A.,Pondicherry Engineering College
International Review of Electrical Engineering | Year: 2012

This Paper proposes a new hybrid algorithm for solving the Unit Commitment problem in Hydrothermal Power System using a hybrid Evolutionary Programming - Tabu Search method with cooling-banking constraints. The main objective of this project is to find the generation scheduling by committing the generating units such that the total operating cost can be minimized by satisfying both the forecasted load demand and various operating constraints of the generating units. It is a Global Optimization technique for solving Unit Commitment Problem, operates on a system, which is designed to encode each unit's operating schedule with regard to its minimum up/down time. In this method, the unit commitment schedule is coded as a string of symbols. An initial population of parent solutions is generated at random. Here the parents are obtained from a pre-defined set of solutions i.e. each and every solution is adjusted to meet the requirements. Then, random recommitment is carried out with respect to the unit's minimum down times. Tabu search (TS) is a powerful optimization procedure that has been successfully applied to a number of combinatorial optimization problems. It avoids entrapment at local optimum by maintaining a short term memory of recently obtained solutions. The memory structure assists in forbidding certain moves that deteriorates the quality of the solution by assigning Tabu status to the forbidden solutions. The Tabu status of a solution can be overruled if certain conditions are satisfied expressed in the form of Aspiration Level. Aspiration Level (AL) adds flexibility in Tabu Search by directing the search towards attractive moves. The best population is selected by Evolutionary Strategy. Numerical results are shown comparing the cost solutions and computation time obtained by using the proposed hybrid method than conventional methods like Dynamic Programming, Lagrangian Relaxation. © 2012 Praise Worthy Prize S.r.l. - All rights reserved.


Sivasankar C.,MNM Jain Engineering College | Srinivasan A.,MNM Jain Engineering College
Advances in Intelligent Systems and Computing | Year: 2015

Moving Object detection based on video, of late has gained momentum in the field of research. Moving object detection has extensive application areas and is used for monitoring intelligence interaction between human and computer, transportation of intelligence, and navigating visual robotics, clarity in steering systems. It is also used in various other fields for diagnosing, compressing images, reconstructing 3D images, retrieving video images and so on. Since surveillance of human movement detection is subjective, the human objects are precisely detected to the framework proposed for human detection based on the Locomotive Object Extraction.The issue of illumination changes and crowded human image is discriminated. The image is detected through the detection feature that identifies head and shoulder and is the loci for the proposed framework. The detection of individual objects has been revamped appreciably over the recent years but even now environmental factors and crowd-scene detection remains significantly difficult for detection of moving object. The proposed framework subtracts the background through Gaussian mixture model and the area of significance is extracted. The area of significance is transformed to white and black picture by picture binarization. Then, Wiener filter is employed to scale the background level for optimizing the results of the object in motion. The object is finally identified. The performance in every stage is measured and is evaluated. The result in each stage is compared and the performance of the proposed framework is that of the existing system proves satisfactory. © Springer International Publishing Switzerland 2015.


Gnanavel V.K.,MNM Jain Engineering College | Srinivasan A.,MNM Jain Engineering College
Advances in Intelligent Systems and Computing | Year: 2015

ntelligent Video Investigation is on nice interest in trade applications because of increasing demand to scale back the force of analyzing the largescale video information. Sleuthing the abnormal events from crowded video scenes offer varied difficulties. Initially, an oversized variety of moving persons will simply distract the native anomaly detector. Secondly it’s tough to model the abnormal events in real time. Thirdly, the inaccessibility of ample samples of coaching information for abnormal events ends up in problem in sturdy detection of abnormal events. Our planned system provides a peculiar approach to find anomaly in crowded video scenes. We are initially divide the video frame into patches and apply the Difference-of-Gaussian (DoG) filter to extract edges. Then we work out Multiscale Histogram of Optical Flow (MHOF) and Edge directed bar chart (EOH) for every patch. Then exploitation of Normalized Cuts (NCuts) and Gaussian Expectation-Maximization (GEM) techniques, and to cluster the similar patches into cluster and assign the motion context. Finally exploitation of k-Nearest neighbor (k-NN) search, and establish the abnormal activity at intervals in the crowded scenes. Our spatio-temporal anomaly search system helps to boost the accuracy and computation time for detection of irregular patterns. This technique is helpful for investigation, trade specific and market applications like public transportation, enforcement, etc. © Springer International Publishing Switzerland 2015.

Loading MNM Jain Engineering College collaborators
Loading MNM Jain Engineering College collaborators