Search results for: M. Krishnamoorthi

Items from 1 to 11 out of 11 results

article

Continuous Tamil Speech Recognition technique under non stationary noisy environments

M. Kalamani, M. Krishnamoorthi, R. S. Valarmathi

International Journal of Speech Technology > 2019 > 22 > 1 > 47-58

In the last few years, the need for Continuous Speech Recognition system in Tamil language has been increased widely. In this research work, efficient Continuous Tamil Speech Recognition (CTSR) technique is proposed under non stationary noisy environments. This research work consists of two stages such as speech enhancement and modelling phase. In this, the modified Modulation Magnitude Estimation...

article

RSM based optimization of performance and emission characteristics of DI compression ignition engine fuelled with diesel/aegle marmelos oil/diethyl ether blends at varying compression ratio, injection pressure and injection timing

M. Krishnamoorthi, R. Malayalamurthi, P. Mohamed Shameer

Fuel > 2018 > 221 > C > 283-297

In the support of developing a substitute for diesel fuel automobiles, the research in renewable energy has been focused due to the hurly-burly situation for petroleum combat and environmental causes. The present study has been carried out in a naturally aspirated light-duty variable compression ratio (VCR) multi-fuel research engine. As input amends, three significant input parameters as injection...

article

The influence of charge air temperature and exhaust gas recirculation on the availability analysis, performance and emission behavior of diesel - bael oil - diethyl ether blend operated diesel engine

M. Krishnamoorthi, R. Malayalamurthi

Journal of Mechanical Science and Technology > 2018 > 32 > 4 > 1835-1847

In this work, the first and second laws of thermodynamic analyses were carried out on Kirloskar direct injection, variable compression ratio (VCR) engine at four different charge air temperatures (CAT) and exhaust gas recirculation (EGR) mode. Performance, emission and combustion characteristics along with exergy analysis of ternary test fuel of 60 % diesel + 30 % bael oil + 10 % diethyl ether (DEE)...

article

Availability analysis, performance, combustion and emission behavior of bael oil - diesel - diethyl ether blends in a variable compression ratio diesel engine

M. Krishnamoorthi, R. Malayalamurthi

Renewable Energy > 2018 > 119 > C > 235-252

The aim of the present work is to experimentally investigate the effect of injection pressure (IP) and injection timing (IT) on the performance, combustion, and emissions of a compression ignition (CI) engine with aegle marmelos oil (bael oil) blends. This work includes the exergy analysis of diesel engine to maximize the work availability. The tests were conducted on a constant speed direct injection...

article

Experimental investigation on the availability, performance, combustion and emission distinctiveness of bael oil/ diesel/ diethyl ether blends powered in a variable compression ratio diesel engine

M. Krishnamoorthi, R. Malayalamurthi

Heat and Mass Transfer > 2018 > 54 > 7 > 2023-2044

The present work aims at experimental investigation on the combined effect of injection timing (IT) and injection pressure (IP) on the performance and emissions characteristics, and exergy analysis of a compression-ignition (CI) engine powered with bael oil blends. The tests were conducted using ternary blends of bael oil, diethyl ether (DEE) and neat diesel (D) at various engine loads at a constant...

article

Experimental investigation on performance, emission behavior and exergy analysis of a variable compression ratio engine fueled with diesel - aegle marmelos oil - diethyl ether blends

M. Krishnamoorthi, R. Malayalamurthi

Energy > 2017 > 128 > C > 312-328

The intention of the prevailing effort is in the direction of experimentally look for the combined outcome of compression ratio and a number of nozzle holes on performance and emissions of a compression ignition engine by means of an emulsion fuel obtained from aegle marmelos (Bael) oil. This exertion consists of the exergy examination of compression ignition engine towards maximizing the work availability...

chapter

Script Identification for a Tri-lingual Document

Prakash K. Aithal, G. Rajesh, Dinesh U. Acharya, M. Krishnamoorthi, more

Communications in Computer and Information Science > Computer Networks and Information Technologies > Short Papers > 434-439

India is a multilingual multi-script country. States of India follow a three language formula. The document may be printed in English, Hindi and other state official language. For Optical Character Recognition (OCR) of such a multilingual document, it is necessary to identify the script before feeding the text lines to the OCRs of individual scripts. In this paper, a simple and efficient technique...

chapter

A scalable approach for fingerprint matching system based on minutiae extraction

K. Lavanya, M. Krishnamoorthi

2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS) > 1 - 4

2015 International Conference on Innovations in Information,Embedded and Communication Systems (ICIIECS)

The finger print matching process, the minutiae detection plays a major role to identify the maximum matching point of the finger print of the input image to train the dataset. The image segmentation is based on the thresholding algorithm. By using the thresholding algorithm, the region of interest area is segmented and then the minutiae of the maximum matching point are detected on the region. The...

chapter

BHOHS: A Two Stage Novel Algorithm for Data Clustering

P. Chandrasekar, M. Krishnamoorthi

2014 International Conference on Intelligent Computing Applications > 138 - 142

2014 International Conference on Intelligent Computing Applications (ICICA)

Data clustering is a collection of data objects that are similar to one another within in the same cluster and are dissimilar to the objects in other clusters. In this paper we proposed new algorithm called black hole optimization with a heuristic search algorithm to overcome the problem of the BHO algorithm. The black hole optimization is used to produce an initial solution to the clustering problem...

article

Speech Enhancement Using Modified Modulation Magnitude Estimation-Based Spectral Subtraction Algorithm

M. Kalamani, S. Valarmathy, M. Krishnamoorthi

Arabian Journal for Science and Engineering > 2014 > 39 > 12 > 8965-8978

In this paper, noise variance is estimated from the noisy spectrum using the proposed noise estimation algorithm. In addition, the speech signal is enhanced by the modified modulation magnitude estimation (MMME)-based spectral subtraction algorithm. Chi-square distribution-based noise estimation algorithm is proposed in this work. During the speech presence period, the noise variance is estimated...

chapter

A comparative analysis of enhanced Artificial Bee Colony algorithms for data clustering

M. Krishnamoorthi, A. M. Natarajan

2013 International Conference on Computer Communication and Informatics > 1 - 6

2013 International Conference on Computer Communication and Informatics (ICCCI)

Clustering aims at the unsupervised learning of objects in different groups. The algorithms, such as K-means and Fuzzy C- Means (FCM) are traditionally used for clustering purpose. Recently, most of the researches and study are concentrated on optimization of clustering process using different optimization methods. The commonly used optimizing algorithms such as Particle swarm optimization, Ant Colony...

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Search results for: M. Krishnamoorthi

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