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Author: Melinda
Publisher: Syiah Kuala University Press
ISBN: 6232645707
Category : Computers
Languages : en
Pages : 104
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Book Description
An event that rises and falls in the peak value of the amplitude of a certain data as measured through the data acquisition process is known as fluctuation. Fluctuations usually occur because the data obtained during the acquisition process is mixed with noise. Therefore, an analytical approach is needed that can process signal fluctuations to identify the characteristics of a material. This study uses an object made of H2O material used as a measurement platform or footing. The other ingredients are H2O mixed with HCl and H2O mixed with NaOH. The initial processing approach is related to the material identification system using a capacitive sensor based on the Impedance Spectroscopy (SI) method. This study aims to develop a method for processing multi-frequency signal fluctuations resulting from data acquisition of Multi-Spectral Capacitive Sensors (MSCS). An approach to representing the observed fluctuations in data acquisition results is based on the statistical mean and standard deviation of the observed noise spectral in a large number of data sets. The results of signal fluctuations are divided into several types, namely: Mean Fluctuation (MF), High Fluctuation (HF), and High High-Fluctuation (HHF). Several approaches are taken for processing fluctuations, such as the data consistency process to see the stability of the data from the initial processing stage. Next is the stage of grouping data with several new approach methods. Another method that we use is the segmentation method which uses several filters that can divide some signals in the form of fluctuation patterns into several segments. From several approach methods that have been carried out, the results show that some of these methods can identify multi-spectral fluctuation patterns so that it will be easier for the next identification process.
Author: Melinda
Publisher: Syiah Kuala University Press
ISBN: 6232645707
Category : Computers
Languages : en
Pages : 104
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Book Description
An event that rises and falls in the peak value of the amplitude of a certain data as measured through the data acquisition process is known as fluctuation. Fluctuations usually occur because the data obtained during the acquisition process is mixed with noise. Therefore, an analytical approach is needed that can process signal fluctuations to identify the characteristics of a material. This study uses an object made of H2O material used as a measurement platform or footing. The other ingredients are H2O mixed with HCl and H2O mixed with NaOH. The initial processing approach is related to the material identification system using a capacitive sensor based on the Impedance Spectroscopy (SI) method. This study aims to develop a method for processing multi-frequency signal fluctuations resulting from data acquisition of Multi-Spectral Capacitive Sensors (MSCS). An approach to representing the observed fluctuations in data acquisition results is based on the statistical mean and standard deviation of the observed noise spectral in a large number of data sets. The results of signal fluctuations are divided into several types, namely: Mean Fluctuation (MF), High Fluctuation (HF), and High High-Fluctuation (HHF). Several approaches are taken for processing fluctuations, such as the data consistency process to see the stability of the data from the initial processing stage. Next is the stage of grouping data with several new approach methods. Another method that we use is the segmentation method which uses several filters that can divide some signals in the form of fluctuation patterns into several segments. From several approach methods that have been carried out, the results show that some of these methods can identify multi-spectral fluctuation patterns so that it will be easier for the next identification process.
Author: E. Grastyán
Publisher: Elsevier
ISBN: 1483190110
Category : Health & Fitness
Languages : en
Pages : 502
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Book Description
Advances in Physiological Sciences, Volume 16: Sensory Functions contains the proceedings of the symposia of the 28th International Congress of Physiology, held in Budapest in July 1980. The book presents scientific papers discussing a wide range of topics on sensory functions. The topics discussed include somato-sensory thalamic unit activities recorded in chronic awake animals; neuropharmacology of spinal cord reaction to noxious inputs; pain and thermoreception; and neural mechanisms for binocular depth discrimination. Physiologists, pathologists, biologists, physicians, and researchers will find the book invaluable.
Author: Edmund Joseph Rendtorff
Publisher:
ISBN:
Category :
Languages : en
Pages : 174
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Book Description
Author: William Alexander Robertson
Publisher:
ISBN:
Category : Accounting
Languages : en
Pages : 464
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Book Description
Author: H. D. Kimmel
Publisher: Routledge
ISBN: 1000394794
Category : Psychology
Languages : en
Pages : 566
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Book Description
Originally published in 1979, the world’s leading researchers contributed chapters describing their work on the orienting reflex in humans. The contributions, at the time current and comprehensive, in a sense that each facet of contemporary research was represented, address the orienting reflex, now recognized as a fundamental component of human learning and cognitive function. The authors contributing to this volume emphasize both theoretical and methodological issues, as well as present more empirical research. Here is a volume that spans all current work on the orienting reflex in humans, both basic and applied, from the laboratory as well as clinical data, and which would be of immense interest to psychologists, psychophysiologists, psychiatrists, physiologists, and all others interested in this fascinating topic.
Author: Jeffrey M. Bradshaw
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 500
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Book Description
The essays in Software Agents, by leading researchers and developers of agent-based systems, address both the state-of-the-art in agent technology and its likely evolution in the near future.
Author:
Publisher:
ISBN:
Category : International finance
Languages : en
Pages : 308
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Book Description
Author: Prakash M. Nadkarni
Publisher: Springer Science & Business Media
ISBN: 0857295101
Category : Medical
Languages : en
Pages : 411
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Book Description
While the use of database technology is ubiquitous throughout IT (and health IT in particular), it is not generally appreciated that, as a database increases in scope, certain designs are far superior to others. In biomedical domains, new knowledge is being generated continually, and the databases that must support areas such as clinical care and research must also be able to evolve while requiring minimal or no logical / physical redesign. Appropriately designed metadata, and software designed to utilize it effectively, can provide significant insulation against change. Many of the larger EMR or clinical research database vendors have realized this, but their designs are proprietary and not described in the literature. Consequently, numerous misconceptions abound among individuals who have not had to work with large-scale biomedical systems, and graduates of a health or bioinformatics program may find that they need to unlearn what they were taught in database and software design classes in order to work productively with such systems. A working knowledge of such systems is also important for individuals who are not primarily software developers, such as health informaticians, medical information officers and data analysts. This book is, in a sense, intended to prepare all of the above individuals for the real world.
Author: Sawyer D. Campbell
Publisher: John Wiley & Sons
ISBN: 1119853915
Category : Technology & Engineering
Languages : en
Pages : 596
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Book Description
Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning Authoritative reference on the state of the art in the field with additional coverage of important foundational concepts Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning presents cutting-edge research advances in the rapidly growing areas in optical and RF electromagnetic device modeling, simulation, and inverse-design. The text provides a comprehensive treatment of the field on subjects ranging from fundamental theoretical principles and new technological developments to state-of-the-art device design, as well as examples encompassing a wide range of related sub-areas. The content of the book covers all-dielectric and metallodielectric optical metasurface deep learning-accelerated inverse-design, deep neural networks for inverse scattering, applications of deep learning for advanced antenna design, and other related topics. To aid in reader comprehension, each chapter contains 10-15 illustrations, including prototype photos, line graphs, and electric field plots. Contributed to by leading research groups in the field, sample topics covered in Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning include: Optical and photonic design, including generative machine learning for photonic design and inverse design of electromagnetic systems RF and antenna design, including artificial neural networks for parametric electromagnetic modeling and optimization and analysis of uniform and non-uniform antenna arrays Inverse scattering, target classification, and other applications, including deep learning for high contrast inverse scattering of electrically large structures Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning is a must-have resource on the topic for university faculty, graduate students, and engineers within the fields of electromagnetics, wireless communications, antenna/RF design, and photonics, as well as researchers at large defense contractors and government laboratories.
Author: Oliver Heaviside
Publisher:
ISBN:
Category : Earth (Planet)
Languages : en
Pages : 502
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Book Description
