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Institution

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.


Papers
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16 Apr 2013
TL;DR: A method for detecting driver’s drowsiness and subsequently alerting is proposed based on eye shape measurement based on the Local Successive Mean Quantization Transform features and split up snow classifier algorithm.
Abstract: Drowsiness of drivers is one of the main causes of road accidents. Thus countermeasure systems is required to prevent sleepiness related accidents. In this paper, a method for detecting driver’s drowsiness and subsequently alerting is proposed based on eye shape measurement. The Local Successive Mean Quantization Transform (SMQT) features and split up snow classifier algorithm is used detect driver’s face and shape measurement algorithm is used to find the eye blink. Different criterions such as duration of eyelid closure, number of groups of continuous blinks and frequency of eye blink are used to find drowsiness of the driver. Experimental results show that this new algorithm achieves a satisfied performance for drowsiness detection

6 citations

Proceedings ArticleDOI
06 May 2021
TL;DR: In this paper, the authors have reviewed previous papers and literature, identify the benefits and disadvantages of every method, and have explained the spread of various currency recognition systems, choosing the right feature would improve overall system performance.
Abstract: Many countries are affected by the matter of fake notes. Indian is one among them. With the improved technology, anyone can print fake notes. These notes are produced without legal sanction of the state and continues production of such kinds of notes can degrade countries economy. When such counterfeited notes are produced and circulated, it becomes impossible for ordinary citizens to distinguish whether the money is real or fake because they differentiate according to physical appearance. The biggest challenge for many countries like India is the detection of fake currency. Even if banks and other big organizations have automatic machines designed to identify counterfeit currency notes, ordinary people can hardly differentiate between them. Nowadays recognition of fake currency has become challenging issue for many researchers. The identification involves many steps like edge detection, feature extraction, image segmentation, image acquisition, grayscale conversion, and comparison of images. This paper provides some related works of paper-currency recognition and has explained the spread of various currency recognition systems. Choosing the right feature would improve overall system performance. The goal of this work is to review previous papers and literature, identify the benefits and disadvantages of every method.

6 citations

Book ChapterDOI
07 Nov 2011
TL;DR: Issues and challenges in CBIR systems are discussed, the importance of shape feature in image retrieval is highlighted and a new method for image retrieval using wavelet based shape feature is proposed.
Abstract: As the network and development of multimedia technologies are becoming more popular, users are not satisfied with the traditional information retrieval techniques. So now a day the Content Based Image Retrieval (CBIR) is becoming a source of exact and fast retrieval. There are four important feature components for content-based image retrieval: colour, texture, shape, and spatial relationship. Among these features, shape contains the most attractive visual information for human perception. The main purpose of this paper is to discuss issues and challenges in CBIR systems, the importance of shape feature in image retrieval and proposing a new method for image retrieval using wavelet based shape feature.

6 citations

Journal ArticleDOI
TL;DR: In this paper, the authors used satellite remote sensing for investigation of suspended sediment dispersion pattern in the near-shore region of the Central West Coast of India (CWC) in a case study from the Indian Remote Sensing (IRS P4) Ocean Color Monitor (OCM) data.
Abstract: NAYAK, S.R.; HEGDE, V.S.; SHALINI, R.; RAJAWAT, A.S.; ALI, M.; VENKATESHWARLU, B., and RAMANA, I.V., 2012. Application of satellite remote sensing for investigation of suspended sediment dispersion pattern in the near shore region: A case study from the Central West Coast of India. Indian Remote Sensing -P4 (IRS P4) Ocean Color Monitor (OCM) data is used to understand seasonal variations in suspended sediment (SS) dispersal pattern in the near-shore waters of the Central West Coast of India. Four distinct patterns of sediment dispersion are observed. (1) During monsoon, plume-like sediment dispersion seaward is observed especially in the mouths of rivers. (2) As the monsoon progresses, there is northerly transport of sediments with anticlockwise pattern within the plumes. (3) During NE monsoon, sediment concentration is less and its transport is southward. (4) During premonsoon, SS concentration is high in the near-shore water and transport is landward. Sequential OCM data analyses indicated the ...

6 citations

Proceedings ArticleDOI
01 Dec 2006
TL;DR: A new model is proposed, which uses distributed hierarchical tree based approach for authenticating ubiquitous objects which overcomes the problems associated with centralized source of information.
Abstract: Ubiquitous computing technology provides an environment where users expect to access resources and services anytime and anywhere. The serious security risks and problems arise because resources can now be accessed by almost anyone with a mobile device in such an open model. This paper explores security in ubiquitous computing with focus on authentication. We propose a new model, which uses distributed hierarchical tree based approach for authenticating ubiquitous objects which overcomes the problems associated with centralized source of information.

6 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20225
202145
202034
201936
201834
201742