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1000 tulosta hakusanalla A. Kumar Sethi

Analysis of Socio-Economic Status on Anthropometric Measurements and Health Related Physical Fitness of School Boys

Analysis of Socio-Economic Status on Anthropometric Measurements and Health Related Physical Fitness of School Boys

Sathish Kumar a

Lulu.com
2014
pokkari
Sports is an inspirable phenomenon of our social life and it is at the apex of human civilization because of trials, competitive events and scope of improving personality. It plays a very prominent role in the modern society. It is good to see that now a day's many people realizing the fact and understanding the importance of sports in their life.
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Advanced Fixture Design for FMS

Advanced Fixture Design for FMS

A.Y.C. Nee; K. Whybrew; A. Senthil kumar

Springer London Ltd
2011
nidottu
Fixtures are crucial to new manufacturing techniques and largely dictate the level of flexibility a manufacturing system can achieve. Advanced Fixture Design for FMS provides a systematic basis for the selection and design of fixturing systems. It gives a review of the current state of the art of flexible and reconfigurable fixturing systems. Recent developments in design methodology using CAD are analysed in depth. Fixture design is seen as an inseparable part of process planning. The primary objective of a fixture system is to ensure that the part being manufactured can be made consistently within the tolerance specified in the design. A new method of tolerance analysis is used to check the suitability of location surfaces and the sequence of operations and is explained in detail.
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Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification

Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification

Anil Kumar; Priyadarshi Upadhyay; A. Senthil Kumar

CRC Press
2020
sidottu
This book covers the state-of-art image classification methods for discrimination of earth objects from remote sensing satellite data with an emphasis on fuzzy machine learning and deep learning algorithms. Both types of algorithms are described in such details that these can be implemented directly for thematic mapping of multiple-class or specific-class landcover from multispectral optical remote sensing data. These algorithms along with multi-date, multi-sensor remote sensing are capable to monitor specific stage (for e.g., phenology of growing crop) of a particular class also included. With these capabilities fuzzy machine learning algorithms have strong applications in areas like crop insurance, forest fire mapping, stubble burning, post disaster damage mapping etc. It also provides details about the temporal indices database using proposed Class Based Sensor Independent (CBSI) approach supported by practical examples. As well, this book addresses other related algorithms based on distance, kernel based as well as spatial information through Markov Random Field (MRF)/Local convolution methods to handle mixed pixels, non-linearity and noisy pixels. Further, this book covers about techniques for quantiative assessment of soft classified fraction outputs from soft classification and supported by in-house developed tool called sub-pixel multi-spectral image classifier (SMIC). It is aimed at graduate, postgraduate, research scholars and working professionals of different branches such as Geoinformation sciences, Geography, Electrical, Electronics and Computer Sciences etc., working in the fields of earth observation and satellite image processing. Learning algorithms discussed in this book may also be useful in other related fields, for example, in medical imaging. Overall, this book aims to: exclusive focus on using large range of fuzzy classification algorithms for remote sensing images; discuss ANN, CNN, RNN, and hybrid learning classifiers application on remote sensing images; describe sub-pixel multi-spectral image classifier tool (SMIC) to support discussed fuzzy and learning algorithms; explain how to assess soft classified outputs as fraction images using fuzzy error matrix (FERM) and its advance versions with FERM tool, Entropy, Correlation Coefficient, Root Mean Square Error and Receiver Operating Characteristic (ROC) methods and; combines explanation of the algorithms with case studies and practical applications.
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Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification

Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification

Anil Kumar; Priyadarshi Upadhyay; A. Senthil Kumar

TAYLOR FRANCIS LTD
2023
nidottu
This book covers the state-of-art image classification methods for discrimination of earth objects from remote sensing satellite data with an emphasis on fuzzy machine learning and deep learning algorithms. Both types of algorithms are described in such details that these can be implemented directly for thematic mapping of multiple-class or specific-class landcover from multispectral optical remote sensing data. These algorithms along with multi-date, multi-sensor remote sensing are capable to monitor specific stage (for e.g., phenology of growing crop) of a particular class also included. With these capabilities fuzzy machine learning algorithms have strong applications in areas like crop insurance, forest fire mapping, stubble burning, post disaster damage mapping etc. It also provides details about the temporal indices database using proposed Class Based Sensor Independent (CBSI) approach supported by practical examples. As well, this book addresses other related algorithms based on distance, kernel based as well as spatial information through Markov Random Field (MRF)/Local convolution methods to handle mixed pixels, non-linearity and noisy pixels. Further, this book covers about techniques for quantiative assessment of soft classified fraction outputs from soft classification and supported by in-house developed tool called sub-pixel multi-spectral image classifier (SMIC). It is aimed at graduate, postgraduate, research scholars and working professionals of different branches such as Geoinformation sciences, Geography, Electrical, Electronics and Computer Sciences etc., working in the fields of earth observation and satellite image processing. Learning algorithms discussed in this book may also be useful in other related fields, for example, in medical imaging. Overall, this book aims to: exclusive focus on using large range of fuzzy classification algorithms for remote sensing images; discuss ANN, CNN, RNN, and hybrid learning classifiers application on remote sensing images; describe sub-pixel multi-spectral image classifier tool (SMIC) to support discussed fuzzy and learning algorithms; explain how to assess soft classified outputs as fraction images using fuzzy error matrix (FERM) and its advance versions with FERM tool, Entropy, Correlation Coefficient, Root Mean Square Error and Receiver Operating Characteristic (ROC) methods and; combines explanation of the algorithms with case studies and practical applications.
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Advanced Treatise On Fixture Design And Planning, An

Advanced Treatise On Fixture Design And Planning, An

Andrew Yeh Ching Nee; Zhen Jun Tao; A Senthil Kumar

World Scientific Publishing Co Pte Ltd
2004
sidottu
Fixtures are an essential part of manufacturing production. This book covers computer-aided fixture design, fixture clamping synthesis and optimisation, workpiece-fixture interaction, intelligent fixture designed to integrate with processing equipment or machine tools so as to improve productivity and product quality, Internet-enabled fixture design and modular fixture database management. These are the emerging issues central to the development of computer-integrated manufacturing.Covering the established knowledge of fixture design automation and the niche areas of fixture system integration and Internet-enabled design, the book would be a prevalent reference for academics, manufacturing & industrial engineers, and a valuable text for engineering graduate students.
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A Textbook of Seed Science and Technology

A Textbook of Seed Science and Technology

S. Padmavathi; M. Prakash; S. Ezhil Kumar; G. Sathiyanarayanan; A. Kamraj

New India Publishing Agency
2012
nidottu
Seed Science and Technology is a discipline that focuses on the production of high-quality seeds and enhancing their quality through various techniques, from planting to storage. The importance of seed quality is emphasized by the proverb Seeds of Hope can turn into Seeds of Frustration if quality is not maintained. The subject requires up-to-date knowledge due to its multidisciplinary nature, including biology, physiology, and biochemistry. This book aims to provide readers with a comprehensive understanding of Seed Technology, covering fundamental and applied aspects, including seed biology, processing, and legislation governing seed production and marketing.
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A Textbook of Seed Science and Technology

A Textbook of Seed Science and Technology

S. Padmavathi; M. Prakash; S. Ezhil Kumar; G. Sathiyanarayanan; A. Kamraj

New India Publishing Agency
2012
sidottu
Seed Science and Technology is a discipline that focuses on the production of high-quality seeds and the improvement of seed quality through various techniques. It encompasses the entire process, from sowing to storage. The importance of seed quality is emphasized by the proverb, Seeds of Hope can turn into Seeds of Frustration if quality is not maintained. The subject requires a comprehensive understanding of various fields, including biology, physiology, and biochemistry, which have both direct and indirect impacts on Seed Science and Technology.This book has been designed to provide readers with a thorough understanding of seed technology, starting from seed biology to seed processing. It covers the fundamental and basic aspects of seed technology, as well as applied science, including seed legislation and the laws governing seed production and marketing. The aim is to equip readers with the knowledge and skills necessary to produce high-quality seeds and improve the quality of existing seeds.
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