Sathyanarayanan (33 results)

Condition: New.

Soft cover. Condition: New. Series: Collection Indololgie; 156.

Soft cover. Condition: New. Mentioned already in the ancient Tamil epic the Cilappatikaram, Srirangam is a sacred site of preeminent status in South Indian religious geography. This book, the fruit of long collaboration between the two authors, presents a critical edition of the Srirangamahatmya, a Sanskrit eulogy of this hallowed place, along with an English translation, the first translation into a European language. Its most important temple is dedicated to the self-manifest (svayamvyakta) form of Visnu as Ranganatha, lying upon his serpent bed on an island formed by the Kaveri and Kollidam rivers. But the text relates that this was not always its location. It describes the vimana, narrates how it came to be established on the island, and gives an account of the various sacred water-bodies in the vicinity, principal among which is the Candrapuskarini.

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Taschenbuch. Condition: Neu. Recurrent Neural Network based Probabilistic Language Model | Speech Recognition with Probabilistic Language Model | Sathyanarayanan Kuppusami | Taschenbuch | 60 S. | Englisch | 2017 | AV Akademikerverlag | EAN 9786202205443 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condition: Neu. Project Management | A guide | Selvi Sathyanarayanan | Taschenbuch | 152 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786200565884 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Hardcover. Condition: Brand New. 772 pages. 9.50x6.25x1.89 inches. In Stock.

paperback. Condition: New. New. book.

Hardcover. Condition: New. 651pp.

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Hardcover. Condition: Brand New. 719 pages. 9.25x6.25x1.75 inches. In Stock.

Soft cover. Condition: New. 1st Edition. Rites of expiation and reparation (prayascitta) may not seem central to the history of the Mantramarga, but they provide a fascinating angle from which to view the evolution of this broad religious tradition. Instead of focussing on the evolution and philosophical defence of Saiva doctrines, or on the examination of ritual practices and of theories developed to justify and shore up such practices, this study puts the spotlight instead on social dimensions of the religion. This book contains a first edition and translation of a South Indian compendium of Saiva expiation rituals compiled by Trilocanasiva, a twelfth-century theologian celebrated for his Siddhantasaravali, a metrical treatise on the Saivasiddhanta that is still traditionally studied in the Tamil-speaking South today. Trilocana does not reveal the sources from which he quotes, many of which are lost to us, but an earlier Northern treatise on the same theme from Malwa by a certain Hrdayasiva consists only in large labeled quotations, typically whole chapters, from those sources. A Nepalese palm-leaf manuscript kept in Cambridge that is dated to 1157 ad may be the earliest surviving codex to transmit Hrdayasiva's text and we have included a complete transcription of that manuscript as an appendix. A combined quarter-verse-index helps readers to navigate both Trilocana's and Hrdayasiva's works. Our introduction attempts to trace the social developments within the Saivasiddhanta that give context to the evolution of Saiva reparatory rites.

Hardcover. Condition: New. Dust Jacket Condition: New. 607 pages : 25 cm. This volume presents several detailed studies of the commentary traditions of South India with a particular emphasis on Tamil, but extended to Sanskrit and Telugu as well. The importance of commentaries for our understanding of classical Indian languages and their literatures has long been acknowledged, but rarely have the commentaries themselves, especially minor ones, been the subject of systematic study. Contributors to this volume begin to remedy this desideratum in several ways. Some describe the specific methods employed by particular commentators and offer translations of passages, many of which have never before been rendered into English. Others examine what impact ancient commentators have had on the development of modern philological and lexicographical tools. More broadly, the role of the commentary in textual exegesis is taken up by several authors, and, in one case, this has led to an extension of the very notion of a commentary to include translation. This volume will serve as an important reference point for further research into commentarial traditions both in India and around the world.

Soft cover. Condition: New. XXIV+497 pages : 24 cm, English, French. This collection of essays honours the memory of the late Pandit N.R. Bhatt, who contributed to pioneering research into the history of Śaivism in the French institutions of research in Pondicherry, notably through his editions of Sanskrit works of the Śaivasiddhānta and through his work of gathering the largest collection of Śaiva manuscripts worldwide, recognised as a Memory of the World collection by UNESCO in 2005. After a preface about N.R. Bhatt's life and a bibliography of his uvre, sixteen contributions by colleagues and disciples cover aspects of the history of tantrism, of Śaiva ritual and doctrine. Two more articles deal with iconography and one last contribution publishes an eighteenth-century account of the siege of Pondicherry in 1778.

Soft cover. Condition: New. 230 pages : illustrations (black and white, and colour) ; 24 cm. English and Sanskrit.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Statistical n-gram language models are widely used for their state of the art performance in a continuous speech recognition system. In a domain based scenario, the sequences vary at large for expressing same context by the speakers. But, holding all possible sequences in training corpora for estimating n-gram probabilities is practically difficult. Capturing long distance dependencies from a sequence is an important feature in language models that can provide non zero probability for a sparse sequence during recognition. A simpler back-off n-gram model has a problem of estimating the probabilities for sparse data, if the size of n gram increases. Also deducing knowledge from training patterns can help the language models to generalize on an unknown sequence or word by its linguistic properties like noun, singular or plural, novel position in a sentence. For a weaker generalization, n-gram model needs huge sizes of corpus for training. A simple recurrent neural network based language model approach is proposed here to efficiently overcome the above difficulties for domain based corpora. 60 pp. Englisch.

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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kuppusami SathyanarayananIn my beloved interest of research in robotics, I obtained my Master s degree in Intelligent Adaptive Systems from Universitaet Hamburg. I have good experience in Machine learning, Neural networks, Ros program.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The core objective of this research is to provide a methodology for obtaining guidance based on empirical evidences on pavement marking replacement times. This dissertation investigates the degradation process of pavement marking visibility over time in the United States using semi-parametric family of duration models. Specifically, a methodological framework to analyze typical pavement making visibility inspection data was formulated. The National Transportation Product Evaluation Program datasets pertaining to water based paints from a total of nine testing locations in the states of Alabama, Pennsylvania, Mississippi, Minnesota, Texas, and Wisconsin were used for the purpose of this investigation. From a methodological standpoint this research suggests that mid-point imputation is reasonable to approximate interval level failure data. Furthermore, the elapsed time model seemed to exploit the empirical pattern of event dependence among multiple marking samples on an experimental deck better than the gap-time model. This suggests that event dependence exists and degradation of the pavement marking visibility is more simultaneous than sequential. 124 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Statistical n-gram language models are widely used for their state of the art performance in a continuous speech recognition system. In a domain based scenario, the sequences vary at large for expressing same context by the speakers. But, holding all possible sequences in training corpora for estimating n-gram probabilities is practically difficult. Capturing long distance dependencies from a sequence is an important feature in language models that can provide non zero probability for a sparse sequence during recognition. A simpler back-off n-gram model has a problem of estimating the probabilities for sparse data, if the size of n gram increases. Also deducing knowledge from training patterns can help the language models to generalize on an unknown sequence or word by its linguistic properties like noun, singular or plural, novel position in a sentence. For a weaker generalization, n-gram model needs huge sizes of corpus for training. A simple recurrent neural network based language model approach is proposed here to efficiently overcome the above difficulties for domain based corpora.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A project is a response or a solution to a problem. Under various uncertainties and high chances of deviations, a project becomes successful because of dedicated and committed planning and implementation. The study of project management helps the readers apply theory and practical together.The book is designed to impart knowledge pertaining to concept of project, project management, and cost and performance analysis, planning and scheduling techniques, appraisal methods for investing in a project with evaluation and so on. The book includes easy to understand definition and meaning, sequencing of topics, working examples and try yourself questions for the benefit of the students. The area of topics covered in this book is very wide and includes the modules as per the universities in Karnataka, Kerala, Tamilnadu and Andhra PradeshThe book is designed for under-graduate and post-graduate students of production engineering, industrial engineering, commerce and management studies.I wish to place on record my sincere thanks to my children S. Jaisurya and S.Sarvesh for their continuous encouragement and patience extended while completing the book. 152 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Statistical n-gram language models are widely used for their state of the art performance in a continuous speech recognition system. In a domain based scenario, the sequences vary at large for expressing same context by the speakers. But, holding all possible sequences in training corpora for estimating n-gram probabilities is practically difficult. Capturing long distance dependencies from a sequence is an important feature in language models that can provide non zero probability for a sparse sequence during recognition. A simpler back-off n-gram model has a problem of estimating the probabilities for sparse data, if the size of n gram increases. Also deducing knowledge from training patterns can help the language models to generalize on an unknown sequence or word by its linguistic properties like noun, singular or plural, novel position in a sentence. For a weaker generalization, n-gram model needs huge sizes of corpus for training. A simple recurrent neural network based language model approach is proposed here to efficiently overcome the above difficulties for domain based corpora.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sathyanarayanan SudhakarDr.Sathyanarayanan is an applied methodologist focusing on the application of econometric and bio/statistical methods to the development of analytical systems for transportation engineering and health manageme.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sathyanarayanan SelviSelvi S. has 20 years of academic experience in teaching in MBA, M.Com, MCA, BBM, BCA, BHM. Her expertise is in Accounting, Finance and Taxation. She is a recipient of Karnataka Education award for the category `.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The core objective of this research is to provide a methodology for obtaining guidance based on empirical evidences on pavement marking replacement times. This dissertation investigates the degradation process of pavement marking visibility over time in the United States using semi-parametric family of duration models. Specifically, a methodological framework to analyze typical pavement making visibility inspection data was formulated. The National Transportation Product Evaluation Program datasets pertaining to water based paints from a total of nine testing locations in the states of Alabama, Pennsylvania, Mississippi, Minnesota, Texas, and Wisconsin were used for the purpose of this investigation. From a methodological standpoint this research suggests that mid-point imputation is reasonable to approximate interval level failure data. Furthermore, the elapsed time model seemed to exploit the empirical pattern of event dependence among multiple marking samples on an experimental deck better than the gap-time model. This suggests that event dependence exists and degradation of the pavement marking visibility is more simultaneous than sequential.Books on Demand GmbH, Überseering 33, 22297 Hamburg 124 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The core objective of this research is to provide a methodology for obtaining guidance based on empirical evidences on pavement marking replacement times. This dissertation investigates the degradation process of pavement marking visibility over time in the United States using semi-parametric family of duration models. Specifically, a methodological framework to analyze typical pavement making visibility inspection data was formulated. The National Transportation Product Evaluation Program datasets pertaining to water based paints from a total of nine testing locations in the states of Alabama, Pennsylvania, Mississippi, Minnesota, Texas, and Wisconsin were used for the purpose of this investigation. From a methodological standpoint this research suggests that mid-point imputation is reasonable to approximate interval level failure data. Furthermore, the elapsed time model seemed to exploit the empirical pattern of event dependence among multiple marking samples on an experimental deck better than the gap-time model. This suggests that event dependence exists and degradation of the pavement marking visibility is more simultaneous than sequential.