Showing papers by "Nitte Meenakshi Institute of Technology published in 2013"

Modeling of STDR system for locating faults in live aircraft wires

Abstract: Wiring problems in aging aircraft have been identified as the cause of several tragic mishaps and hundreds of thousands of lost mission hours. Intermittent wiring faults, which occur during flight, have been and continue to be difficult to resolve. This makes it necessary to monitor live aircraft wires continuously, without affecting the aircraft signals on live wires. Monitoring of live aircraft wires can be accomplished by various Reflectometry methods. Sequence Time Domain Reflectometry (STDR) is one of the Time Domain Reflectometry methods for detecting discontinuities on live wires carrying signals or data, without disturbing them. In this paper, we have modeled this STDR system using MATLAB coding and interfacing with the Simulink blocks. This model prototypes the STDR method along with correlation to detect either open or short circuits.

Efficient resource selection framework to enable cloud for HPC applications

Abstract: Cloud computing provides on demand services with pay-as-you-go manner. Cloud's Infrastructure as Service allows users to use hardware infrastructure (Compute, Network and Storage) and deploy their applications over a computing node as per demand. Users of High Performance Computing applications can take advantages of elasticity of cloud for their compute and data intensive HPC applications without deploying actual physical infrastructure. But virtualization technology degrades the performance of HPC applications. Most of the HPC applications distribute its workload among specified compute resources. To achieve better performance for an application, it is desirable to have homogeneity among the compute resources. Since in cloud environment the virtual machines are created dynamically as per customer needs, it is difficult to find homogeneous environment. In this work we are proposing a method to form cluster of heterogeneous compute resources for HPC base applications on cloud. Proposed method not only considers compute power also bandwidth among the resources. We observed homogeneity among the resources of the best cluster chosen by our method.

Software Licensing Models and Benefits in Cloud Environment: A Survey

Abstract: The impact of Cloud on Software industry is significant. There are many advantages with a software hosted in cloud. Software licensing models should consider the new parameters which are introduced by the cloud. In the cloud world user can use his own software license to deploy the software in VM (Bring Your Own License) or he can purchase a Virtual Machine with the required software, in this case the software license charges are included with the Virtual Machine price (License Charges Included). The service providers use different software licensing models, user has to select licensing model and licensing option (BYOL or LCI) according to his requirement.

Trends in the Use of Social Media as a Tool of Marketing Communications in FMCG Sector in India

Abstract: The advent of Social Media has changed the way FMCG companies conduct their business. With nearly 45 million users in India and growing rapidly, social media's popularity is making organizations to participate in social media to communicate with their customers and also encourage sales. By some estimates, social networking now accounts for 40 percent of all time spent online in India. Nearly one in 10 Internet visits ends up at a social network; nearly one in four page views is on a social networking site, thus making social networking a lucrative option for brand managers to communicate their brand and to create a brand identity. The Indian FMCG Sector has recently started adopting social media as a tool of marketing communications along with traditional media. This paper, based on desk reviews, highlights that Indian FMCG businesses are using Social Media for brand re-positioning and developing a brand image while focusing on developing relationships with consumers rather than on merely providing information.

Competitive performance analysis of two evolutionary algorithms for routing optimization in graded network

Abstract: In this paper we compare the two intelligent route generation system and its performance capability in graded networks using Artificial Bee Colony (ABC) algorithm and Genetic Algorithm (GA). Both ABC and GA have found its importance in optimization technique for determining optimal path while routing operations in the network. The paper shows how ABC approach has been utilized for determining the optimal path based on bandwidth availability of the links and determines better quality paths over GA. Here the nodes participating in the routing are evaluated for their QoS metric. The nodes which satisfy the minimum threshold value of the metric are chosen and enabled to participate in routing. A quadrant is synthesized on the source as the centre and depending on which quadrant the destination node belongs to, a search for optimal path is performed. The simulation results show that ABC speeds up local minimum search convergence by around 60% as compared to GA with respect to traffic intensity, and opens the possibility for cognitive routing in future intelligent networks.

Adaptive Enhancement of Underwater Images

Abstract: Underwater images usually suffer from low contrast and non-uniform lightning. To overcome this histogram equalization is the basic technique for enhancement due to its simple function and effectiveness. This method tends to change the brightness of an image and therefore, not suitable for consumer electronic products, where preserving the original brightness is essential to avoid annoying artifacts. A number of techniques have been developed over a period of time to overcome these undesirable effects. But none of the technique is found suitable for enhancement of image under poor illumination conditions, which preserve the brightness of the original image. In this article we present a survey of different techniques that are based on histogram equalization, and also applied those techniques on underwater images. We also made a comparison of the processed images by a set of ten quality metrics.

Performance of microturbine generation system in grid perturbation condition

Abstract: The distributed generation (DG) with microturbine generation (MTG) system is an emerging approach for providing a quality power in the distribution network. Thus, interconnection of MTG system into the distribution network has to withstand several grid issues, such as, balanced voltage dip, unbalanced voltage, voltage swell and many more. This paper presents the performance of MTG system in utility interconnected mode along with consideration of grid perturbation. The developed model of MTG system includes a microturbine as a prime mover, permanent magnet synchronous generator (PMSG) and power electronics interfacing circuit for grid interface. The performance of MTG system is analyzed in grid connected mode along with grid disturbances developed in Matlab/Simulink environment. The programmable voltage source is used to inject the grid disturbance.

Design and Implementation of Video Shot Detection on Field Programmable Gate Arrays

Abstract: Video has become an interactive medium of communication in everyday life. The sheer volume of video makes it extremely difficult to browse through and find the required data. Hence extraction of key frames from the video which represents the abstract of the entire video becomes necessary. The aim of the video shot detection is to find the position of the shot boundaries, so that key frames can be selected from each shot for subsequent processing such as video summarization, indexing etc. For most of the surveillance applications like video summery, face recognition etc., the hardware (real time) implementation of these algorithms becomes necessary. Here in this paper we present the architecture for simultaneous accessing of consecutive frames, which are then used for the implementation of various Video Shot Detection algorithms. We also present the real time implementation of three video shot detection algorithms using the above mentioned architecture on FPGA (Field Programmable Gate Arrays).

Design and simulation of silicon and polymer based piezoelectric MEMS microphone

Abstract: A microphone is a transducer that measures an acoustic pressure and generates an electrical output. MEMS microphones have the advantages such as compact size, high signal-to-noise ratio, high sensitivity, quick response, and long term stability. Depending on the transduction principle microphones are classified as capacitive, piezoresistive, piezoelectric, optical and micro flow. An electret condenser microphone (ECM) works on the principle of piezoelectricity. When an acoustic pressure is applied on a piezoelectric material, it vibrates and charges are accumulated on the surface of the piezoelectric material. In this paper first the stress analysis is carried out on the silicon membrane and also on SU-8 membrane in response to acoustic pressure. The location of maximum stress is determined. The analysis is repeated by depositing the PZT-5H patches in the tensile and compressive stress regions of both membranes. The simulations have been carried out using Structural Mechanics and Piezoelectric Devices (PZD)Physics in COMSOL Multiphysics.

Design and simulation of polymer piezo-electric MEMS microphone

Abstract: The development of the MEMS microphone has been an active area of research over the past several decades. MEMS microphones have advantages such as compact size, high signal-to-noise ratio, high sensitivity, quick response, and long term stability. MEMS microphone is also compatible with the surface mount process. There are various design considerations for MEMS microphone such as less interference, better sound quality, higher sensitivity, higher signal to noise ratio, less current drain, and low distortion. MEMS microphones are similar to the standard ECMs (electrets condenser microphones) found in modern consumer electronics, except that the components are built onto a single chip using CMOS technology (material deposition & etching), rather than assembled from discrete parts. In this an SU8 polymer MEMS piezoelectric microphone is designed and simulated using COMSOL Multiphysics tool. The physics used for analysis is structural mechanics and Piezo-Electric Devices.

Piezoelectric acoustic MEMS sensor based electrical machines condition monitoring-diaphragm design analysis

Abstract: In this paper, we present the effects of diaphragm design parameters on the sensitivity of acoustic sensor used for condition monitoring purpose. We have considered different design parameters of the diaphragm such as shape, dimensions, thickness, type of the piezoelectric material of the diaphragm. We studied the effect of changes in these parameters on the deflection, stress, strain, voltage generated and resonant frequency of the diaphragm which affect the sensitivity of the acoustic sensor. The effect of the changes in these parameters on the sensitivity of the signals acquired by the machines has been simulated and analyzed using Comsol Multiphysics tool.

Seasonality, Quarterly Impact on Net Asset Value of Equity Linked Savings Schemes:

Abstract: This article attempts to (a) understand the quarterly seasonal behaviour of Net Asset Value of Equity Linked Savings Schemes (ELSS—Tax Saver Schemes), (b) analyse statistical significance of quarte...

Effect of Process Parameters on Centrifugally Cast Al‐Si FGM

Abstract: Functionally Graded Materials (FGM) are such kind of materials wherein the properties and structure are varied from one end of the cast to the other intentionally. Centrifuge technique has been used in this study to produce Al-Si FGMs. Several process parameters determine the microstructure and the distribution of phases in the FG casting. These parameters include the size and initial concentration of alloying element, the centrifugal force, solidification rate, cooling rate. In this work an attempt has been made to produce FGMs using three different process variables such as mold temperature, melt temperature and mold rotational speed, their effect on the structure and properties. For this study Al-17wt%Si is used. From the results it is seen that for a particular melt and mold temperatures by increasing the mold rotation speed enhances the segregation of the Si particles at the one end of the casting. Similarly increasing mold or melt temperature only, increases the segregation.