SDM College of Engineering and Technology

About: SDM College of Engineering and Technology is a based out in . It is known for research contribution in the topics: Diesel fuel & Combustion. The organization has 350 authors who have published 351 publications receiving 2399 citations.

An Analytic Potential Based Velocity Saturated Drain Current, Charge and Capacitance Model for Short Channel Symmetric Double Gate MOSFETs

Abstract: This paper presents a velocity saturated and channel length modulated drain current, charge and capacitance model for a symmetric Double Gate (SDG) short channel MOSFET. The proposed drain current model partially evolves from an existing and well established analytical potential long channel DG MOSFET model and is further modified to be applicable for short channel devices. The projected model includes velocity saturation effect and short channel effects (SCEs) like channel length modulation (CLM) and threshold voltage shift. These effects are incorporated by considering pseudo-two-dimensional electrostatics at the drain end. The proposed work is derived from Pao-Sah integral without using charge sheet approximation. The drain current model captures the essential physics and signature of a modern velocity saturated short channel device and provides continuity in all regions of MOSFET operation. Solutions for charges and capacitances in the presence of velocity saturation and short channel effects are given explicitly. The results obtained in this work are as per the scale length theory applicable for a Double Gate (DG) MOSFET and hence may be used in compact modeling of nanoscale transistors.

Electronic – CRM: Challenges and Opportunities in Banking Industry

Abstract: This study revolves around eCRM practices in banking sector of North Karnataka and some of the opportunities which are not keenly adopted by the banks in this region. The researcher has widely utilized the exploratory study to gain insights of the opportunities and challenges of eCRM practices in banking industry. This study focuses on the ability of online space, as a channel to serve as an interface between organization and consumer and aid the organization in achieving its CRM goals. Lastly, the study reveals that there is wide opportunity to utilise the eCRM practices for a better competitive advantage.

A Study on Domestic Wastewater Treatment by Moving Bed Sequencing Batch Reactor

Abstract: In developing countries, conventional centralized wastewater treatment has failed to provide the needs of societies for the collection and treatment of domestic wastewater. Hence it is necessary to develop decentralized wastewater treatment system which may provide possibilities for reuse of wastewater and improve local environmental conditions. The Moving Bed Sequencing Batch Reactor (MBSBR) is an efficient process for wastewater treatment and becoming a feasible solution for small treatment plants. Laboratory scale experimentations were carried out applying the MBSBR process for the treatment of domestic wastewater. The aim of the study was to evaluate performance of MBSBR under varied operating conditions. The effect of different carrier fill percent, influent COD and cycle time were investigated. The process has demonstrated relatively lesser COD removal efficiency for the system operated with 60 and 70 % fill of carrier and aeration period less than 2.5 h. Carrier fill of 30 % has shown relatively higher COD removal efficiency during most of the cycles. The design guidelines in terms of SLR, VLR, HRT and F/M were developed. Very high sludge settleability was observed in MBSBR. Sludge settleability decreased with reduction in carrier fill. The COD removal efficiencies of MBSBR system was 16 % higher than those of the conventional aerobic SBR system under the same operating conditions. MBSBR is demonstrated to be better choice when compared to SBR and MBBR for domestic wastewater treatment due to high COD removal efficiencies.

Enhancement of Image Retrieval by Image Attention based on Edge Features in a Multiresolution Grid Framework

Abstract: Region-based image retrieval (RBIR) is widely used for enhancing the performance of content based image retrieval (CBIR) In this paper, we present a novel scheme to enhance retrieval performance using image attention analysis based on edge features within a multiresolution grid framework The coarse segmentation by the grid, yielding image tiles, will serve as basic building blocks for feature computation The edge image is computed using gradient vector flow (GVF) field The image is partitioned into subimages based on the edge image An integrated subimage matching scheme is used for image similarity The experimental results demonstrate the efficacy of the method

Iris data encryption based on Aztec Symbology

Abstract: Iris recognition is one of the important authentication mechanisms; authentication needs verification of individuals for uniqueness hence converting iris data into barcode is an appropriate in authenticating individuals to identify uniqueness. Such converted barcode is unique for every iris image. In iris recognition, most applications capture the eye image; extract the iris features and stores into the database in digitized form. The size of the digitized form is equal to or little less than original iris image. This as leads to the drawbacks such as more usage of memory and more time required for searching and matching operations. To overcome these drawbacks we propose an approach wherein we convert extracted iris features into barcodes. This transformation of iris into barcode reduces the space for storage and the time required for searching and matching operations, which are essential features in real time applications.