There is an increasing interest in massive optical interconnection networks for the incorporation of communication and signalprocessing systems. Reconfigurable optical interconnection systems can become important for...
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ISBN:
(纸本)0852965281
There is an increasing interest in massive optical interconnection networks for the incorporation of communication and signalprocessing systems. Reconfigurable optical interconnection systems can become important for a wide range of applications, including parallel optoelectronic computing. The simulated annealing algorithm is used to solve a complex optimization problem. The algorithm can find the state which is the global energy minimum. By applying the SA algorithm, the optical general interconnection for N input and output array can be achieved by two binary phase masks each with NxN parameters. This greatly simplifies the optical system and makes the proposed system feasible.
Computer programs for graphing and analyzing time series data are widely available. For large data analysis applications, however, the analyst may invest a great deal of time navigating an ocean of data in order to fi...
ISBN:
(纸本)9780897913720
Computer programs for graphing and analyzing time series data are widely available. For large data analysis applications, however, the analyst may invest a great deal of time navigating an ocean of data in order to find the relevant and interesting pieces. By making this process of discovery easier we can improve the productivity of the analyst. In this paper we describe a data analysis system composed of an eclectic combination of pattern recognition, artificial intelligence, and digital signalprocessing with the goal of providing some of the right tools. The machine is used to accept abstract descriptions of interesting or anomalous data and then to bring that data quickly into the user interface. The same tools can screen large datasets in the analyst's absence. The human analyst spends less time wading through graphs and numbers and more time answering the question of the day. Our goal is to empower the analyst by providing a higher-level language with which to manipulate, visualize, and restructure the semantic concepts of the domain.
The advantages that digital signalprocessing offers for PD (partial discharge) measurement are discussed. A microprocessor-based system for the digital acquisition, storage and processing of PD pulses is described. P...
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The advantages that digital signalprocessing offers for PD (partial discharge) measurement are discussed. A microprocessor-based system for the digital acquisition, storage and processing of PD pulses is described. Particular emphasis is placed on the apparent-charge measurement technique. It is shown that the results obtained are better than those provided by the usual PD measurement technique. A digital system can offer the following advantages over existing instrumentation: high noise suppression, high sensitivity, high accuracy, and high pulse repetition frequency.< >
This work introduces a new method called Self Organizing Neural Network (SONN) algorithm and compares its performance with Back Propagation in a signal separation application. The problem is to separate two signals; a...
This work introduces a new method called Self Organizing Neural Network (SONN) algorithm and compares its performance with Back Propagation in a signal separation application. The problem is to separate two signals; a modem datasignal and a male speech signal, added and transmitted through a 4 khz channel. The signals are sampled at 8 khz, and using supervised learning, an attempt is made to reconstruct them. The SONN is an algorithm that constructs its own network topology during training, which is shown to be much smaller than the BP network, faster to trained, and free from the trial-and-error network design that characterize BP.
We have done an empirical study of the relation of the number of parameters (weights) in a feedforward net to generalization performance. Two experiments are reported. In one, we use simulated data sets with well-cont...
We have done an empirical study of the relation of the number of parameters (weights) in a feedforward net to generalization performance. Two experiments are reported. In one, we use simulated data sets with well-controlled parameters, such as the signal-to-noise ratio of continuous-valued data. In the second, we train the network on vector-quantized mel cepstra from real speech samples. In each case, we use back-propagation to train the feedforward net to discriminate in a multiple class pattern classification problem. We report the results of these studies, and show the application of cross-validation techniques to prevent overfitting.
This conference contains a total of 137 papers which are subdivided into the following groups: technical papers (120);poster session papers (14);and post-conference papers (3). The major subjects include: buoy systems...
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This conference contains a total of 137 papers which are subdivided into the following groups: technical papers (120);poster session papers (14);and post-conference papers (3). The major subjects include: buoy systems;microprocessors for ocean related matters;the Pacific Basin community;environmental awareness;undersea vehicles;floating industrial complexes;satellite imagery data acquisition, processing, and availability;applications of underwater acoustics;continuing education in oceanography;port operations;diving technology;underwater optics;education and manpower;zones of natural jurisdiction;university programs in marine studies;environmental effects on the marine biota;cables and connectors;automated measurement techniques;status of deep ocean mining programs;tanker operations;instrumentation reliability;distributed signalprocessing;marine water quality;navigation and control systems;environmental aspects of offshore petroleum development;ocean thermal energy conversion;safety aspects of ship operations;and international decades of oceanographic exploration. Selected papers are indexed separately.
This book includes the peer-reviewed proceedings of the 3rdinternationalconference on Information Control, Electrical Engineering, and Rail Transit (ICEERT 2023). This book provides the advanced research results of ...
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ISBN:
(数字)9789819788910
ISBN:
(纸本)9789819788903
This book includes the peer-reviewed proceedings of the 3rdinternationalconference on Information Control, Electrical Engineering, and Rail Transit (ICEERT 2023). This book provides the advanced research results of transportation and covers the main research fields of information control, traffic information engineering, and control, intelligent transit, logistics, etc. This book aims to promote a new green and intelligent mode of rail transit between scholars from the top universities, research centers, and high-tech enterprises around the world, which is beneficial to researchers and practitioners in mechanical engineering.
This volume comprises the select proceedings of the 3rdinternationalconference on signal & dataprocessing - icsdp 2023. The contents focus on the latest research and developments in the field of artificial inte...
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ISBN:
(数字)9789819795789
ISBN:
(纸本)9789819795772;9789819795802
This volume comprises the select proceedings of the 3rdinternationalconference on signal & dataprocessing - icsdp 2023. The contents focus on the latest research and developments in the field of artificial intelligence & machine learning, Internet of Things (IoT), cybernetics, advanced communication systems, VLSI embedded systems, power electronics and automation, MEMS/ nanotechnology, renewable energy, bioinformatics, data acquisition and mining, antenna & RF systems, power systems, biomedical engineering, aerospace & navigation. This volume will prove to be a valuable resource for those in academia and industry.
The book is a compilation of high-quality scientific papers presented at the 3rdinternationalconference on Computer & Communication Technologies (IC3T 2016). The individual papers address cutting-edge technologi...
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ISBN:
(数字)9789811032264
ISBN:
(纸本)9789811032257;9789811098208
The book is a compilation of high-quality scientific papers presented at the 3rdinternationalconference on Computer & Communication Technologies (IC3T 2016). The individual papers address cutting-edge technologies and applications of soft computing, artificial intelligence and communication. In addition, a variety of further topics are discussed, which include data mining, machine intelligence, fuzzy computing, sensor networks, signal and image processing, human-computer interaction, web intelligence, etc. As such, it offers readers a valuable and unique resource.
The book is a compilation of high-quality scientific papers presented at the 3rdinternationalconference on Computer & Communication Technologies (IC3T 2016). The individual papers address cutting-edge technologi...
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ISBN:
(数字)9789811032233
ISBN:
(纸本)9789811032226
The book is a compilation of high-quality scientific papers presented at the 3rdinternationalconference on Computer & Communication Technologies (IC3T 2016). The individual papers address cutting-edge technologies and applications of soft computing, artificial intelligence and communication. In addition, a variety of further topics are discussed, which include data mining, machine intelligence, fuzzy computing, sensor networks, signal and image processing, human-computer interaction, web intelligence, etc. As such, it offers readers a valuable and unique resource.
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