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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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Book ChapterDOI
01 Jan 2021
TL;DR: In this paper, a wind potential assessment of a wind site of Indian state of Goa under warm humid climatic zone is proposed using statistical distribution functions using Weibull and Rayleigh models were used for the statistical analysis of wind speed using typical meteorological year (TMY) data.
Abstract: In this paper, wind potential assessment of a wind site of Indian state of Goa under warm humid climatic zone is proposed using statistical distribution functions. Weibull and Rayleigh models were used for the statistical analysis of wind speed using typical meteorological year (TMY) data and wind rose diagram was plotted to study the wind direction and velocity. The results obtained were promising in terms of wind power density and Raleigh model best suits for Goa wind site.

3 citations

Book ChapterDOI
01 Jan 2019
TL;DR: The design and the selection of modified adaptive vector quantization techniques used in the image compression and its influence on the quality (Q-factor) of the reconstructed image are considered and modifications to two existing methods are suggested by providing comparative evaluation.
Abstract: In the context of multimedia application, image compression is an integral part of image processing, which is a significant constituent in the present world of computation and communication The work presented here focusses on the design and the selection of modified adaptive vector quantization techniques used in the image compression and its influence on the quality (Q-factor) of the reconstructed image The proposal also considers and suggests the modifications to two existing methods by providing comparative evaluation Both experiments have been tested on MATLAB framework and DSP TMS320C6713 The performance metrics used in the proposed designs are MSE, PSNR, CR, bpp, and percentage space saving with respect to variations in quantization levels, starting from 10 to 90 Such suggested implementations prove to provide better off-the-shelf solutions

2 citations

Proceedings ArticleDOI
01 Nov 2014
TL;DR: The proposed method detects faces among various facial expressions in color, different face orientations and various ethnic background and demonstrate successful face detection over the FERET benchmark database and acquired images.
Abstract: Face detection is primarily used for identity. Human face detection is the basic approach in applications such as human computer interface, video surveillance and is a prima facie for face recognition. This paper presents a method of detecting human faces irrespective of different ethnicities. Firstly skin and non skin regions are separated using a skin color model and focus on skin regions to detect faces. Our method uses heuristic approach to detect skin regions over the entire image. Experimental results shows that the proposed method detects faces among various facial expressions in color, different face orientations and various ethnic background and demonstrate successful face detection over the FERET benchmark database and acquired images. GUI based method is implemented which includes features such as detection of faces using webcam and count the number of faces detected.

2 citations

Book ChapterDOI
07 Dec 2011
TL;DR: A novel wavelet based PCA-LDA approach for content Based Image Retrieval based on the co-occurrence histograms of wavelet decomposed images that exhibits superior performance in the reduced feature set.
Abstract: In this paper, we propose a novel wavelet based PCA-LDA approach for content Based Image Retrieval. The color and texture features are extracted based on the co-occurrence histograms of wavelet decomposed images. The features extracted by this method form a feature vector of high dimensionality of 1152 for the color image. A combination of Principal Component Analysis (PCA) and Linear Discriminate Analysis (LDA) was applied on feature vector for dimension reduction and to enhance the class separability. By applying PCA to the feature vectors, low dimensionality feature sets were obtained and processed using LDA. The vectors obtained from the LDA are representative of each image. It is evident from the experimental results that the proposed method exhibits superior performance in the reduced feature set (i.e., retrieval efficiency 87% for proposed method, 66% for PCA and 35% for original set based on wavelet feature).

2 citations

Book ChapterDOI
23 Jan 2020
TL;DR: In this paper, the shortcomings of OBD-I and compares OBDI with OBDII, the authors focused on comparing OBD II SAE J1850 protocols, few commonly used Diagnostic Trouble Codes (DTC) by the vehicle and how OBD uses the request and response message formats for accessing data from vehicles using various Parameter IDs (PIDs) and modes of PIDs.
Abstract: As modern vehicles are advanced in technology, speed and provide luxury driving experience. Vehicle manufacturers have become more concerned about driver safety and the health of the vehicle. Diagnosing the faults in the vehicle with ease has become the priority for the vehicle owners that reduces the time and complexity of vehicle maintenance. All the modern vehicles are equipped with an OBD-II connector. The paper introduces the vehicle diagnostics using On-Board Diagnostic (OBD) tools and presents the shortcomings of OBD-I and compares OBD-I with OBD-II. OBD-II has different modes of Parameter IDs to access the data from the ECU’s in-vehicle communicating through CAN bus. The paper focuses on comparing OBD-II SAE J1850 protocols, few commonly used Diagnostic Trouble Codes (DTC) by the vehicle and how OBD uses the request and response message formats for accessing data from vehicles using various Parameter IDs (PIDs) and modes of PIDs.

2 citations


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