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共 216 条记录，以下是151-160 订阅

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Alternate pulse oximetry algorithms for SpO/sub 2/ computation

Alternate pulse oximetry algorithms for SpO/sub 2/ computati...

引用

Annual international conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： T.L. Rusch J.E. Scharf R. Sankar Departments of Anesthesiology and Electrical Engineering University of South Florida Tampa FL

Arterial oxyhemoglobin saturation (SpO/sub 2/) values are currently computed using weighted moving average techniques. Digital signal processing algorithms were explored to identify improved algorithms for SpO/sub 2/ computation. the fast Fourier transform and discrete cosine transform were identified as potentially superior algorithms. Improvements to the original algorithm using combinations of overlapped processing and averaging techniques were also explored.< >

关键词： Signal processing algorithms Discrete cosine transforms Equations Digital signal processing Fast Fourier transforms Frequency domain analysis Discrete transforms Discrete Fourier transforms Error correction Signal processing

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Morton-style factorial coding of color in primary visual cortex 15

Morton-style factorial coding of color in primary visual cor...

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16th Annual Neural Information Processing Systems conference, NIPS 2002

作者： Movellan, Javier R. Wachtler, thomas Albright, thomas D. Sejnowski, Terrence Institute for Neural Computation University of California San Diego San Diego CA 92093-0515 United States Sloan Center for Theoretical Neurobiology Salk Institute San Diego CA 92037 United States Howard Hughes Medical Institute Salk Institute San Diego CA 92037 United States Computational Neurobiology Laboratory Salk Institute San Diego CA 92037 United States

ISBN: (纸本)0262025507

We introduce the notion of Morton-style factorial coding and illustrate how it may help understand information integration and perceptual coding in the brain. We show that by focusing on average responses one may miss the existence of factorial coding mechanisms that become only apparent when analyzing spike count histograms. We show evidence suggesting that the classical/non-classical receptive field organization in the cortex effectively enforces the development of Morton-style factorial codes. this may provide some cues to help understand perceptual coding in the brain and to develop new unsupervised learning algorithms. While methods like ICA (Bell & Sejnowski, 1997) develop independent codes, in Morton-style coding the goal is to make two or more external aspects of the world become independent when conditioning on internal representations.

关键词： Codes (symbols)

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PRTSM: Hardware Data Arrangement Mechanisms for Convolutional Layer computation on the Systolic Array 16th

PRTSM: Hardware Data Arrangement Mechanisms for Convolutiona...

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16th IFIP WG 10.3 international conference on Network and Parallel Computing, NPC 2019

作者： Wang, Shuquan Wang, Lei Li, Shiming Shuo, Tian Guo, Shasha Kang, Ziyang Zhang, Shuzheng Xu, Weixia National University of Defense Technology Changsha China

ISBN: (纸本)9783030307080

the systolic array is an array of processing units which share the inner data flow. Since the 2D systolic array fits the operation of multiplication and accumulation (MAC) naturally, there are many groups which use the systolic array to accelerate the computation of DNN (Deep Neural Network). However, the performance of the systolic array is limited by the data bandwidth. Some groups solve this problem with the method of loop tiling and care little about the pixel reuse potential of the convolutional layer. In this paper, we propose a novel method of PRTSM (Pixels Reuse with Time and Spatial Multiplexing) which reuses the pixels of the input feature map with time and spatial multiplexing. With it, we can significantly reduce the pressure of bandwidth and save the time of data preparing for convolutional layers on the systolic array. We propose three algorithms for this method and implement the corresponding hardware mechanisms on Xilinx FPGA XCVU440. Experiments show that our hardware mechanisms can reduce at least $$72.03\%$$ of the off-chip traffic. the mechanisms proposed by this paper can reach a peak performance of 64.034 GOPS with a frequency of 167 MHz. © 2019, IFIP international Federation for Information Processing.

关键词： Deep neural networks

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Immune evolutionary algorithms

Immune evolutionary algorithms

引用

international conference on Signal Processing Proceedings (ICSP)

作者： Wang Lei Jiao Licheng Kay Laboratory for Radar Signal Processing Xidian University Xi'an China

three evolutionary algorithms, the immune genetic algorithm (IGA), the immune evolutionary programming (IEP) and the immune evolutionary strategy (IES), are presented based on the immune theory in biology, which are not only convergent but used for solving complex discrete optimization problems as well. they all construct an immune operator accomplished by two components, vaccination and immune selection. the methods for selecting vaccines and constructing an immune operator are also proposed. Simulations show that these algorithms can restrain the degenerate phenomenon and improve the searching capability of the existing algorithms, therefore increase the convergent speed greatly.

关键词： Evolutionary computation Immune system Signal processing algorithms Evolution (biology) Biological system modeling computational modeling Biology computing Genetic algorithms Genetic programming Power engineering and energy

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Fast algorithms for the computation of Ranklets

Fast algorithms for the computation of Ranklets

引用

IEEE international conference on Image Processing

作者： Fabrizio Smeraldi School of Electronic Engineering and Computer Science Queen''s Mary University of London London UK

Ranklets are orientation selective rank features with applications to tracking, face detection, texture and medical imaging. We introduce efficient algorithms that reduce their computational complexity from O(N log N) to O(¿N + k), where N is the area of the filter. Timing tests show a speedup of one order of magnitude for typical usage, which should make Ranklets attractive for real-time applications.

关键词： Brightness Statistics Application software Face detection Filters Timing Biomedical engineering Computer science Biomedical imaging Testing

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Structured total least squares based on genetic algorithms

Structured total least squares based on genetic algorithms

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international conference on Signal Processing Proceedings (ICSP)

作者： Zhou Lei Zhang Xianda Department of Automation State Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing China

Structured rank-deficient matrices arise in many applications in signal processing. the inverse iteration algorithm was proposed to solve the so-called structured total least squares (STLS) problems. this algorithm, however, converges to local-minimum under certain conditions. It is well known that genetic algorithms are stochastic optimization techniques that can often outperform classical methods of optimization. Genetic algorithms was utilized here to get the better solution of the STLS problems. Computer simulations show that our method ensures convergence to global minimum.

关键词： Least squares methods Genetic algorithms Optimization methods Signal processing algorithms Biological cells Stochastic processes Evolutionary computation Equations Automation Laboratories

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Cyber-Physical Optimization of Production Processes Using Two AIs: A Robot-Guided MAG Welding Use-Case 16

Cyber-Physical Optimization of Production Processes Using Tw...

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16th CIRP conference on Intelligent computation in Manufacturing Engineering, CIRP ICME 2022

作者： Burggräf, Peter Steinberg, Fabian Nettesheim, Philipp Vedder, Marian Kolter, Gerald University of Siegen Chair for International Production Engineering and Management Siegener Straße 152 Kreuztal57223 Germany Smarte Demonstrationsfabrik Siegen GmbH Siegener Straße 152 Kreuztal57223 Germany

To increase welding quality, in this work a cyber-physical system is presented using two cooperating AIs. the first AI uses supervised learning to initialize welding paths and parameters based on 3D scans of all parts that are inserted in the welding fixture. the second AI uses reinforcement learning to fine-tune the welding parameters based on the welding gap detected by a camera mounted in the top of the welding nozzle. the goals of this setup are to get insights into the interaction between two independent regulations using different machine learning algorithms and to increase the quality of the welded parts. © 2023 Elsevier B.V.. All rights reserved.

关键词： Cyber Physical System

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Developments in Language theory 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Hsu-Chun Yen Oscar H. Ibarra

ISBN: (数字)9783642316531

ISBN: (纸本)9783642316524

this book constitutes the refereed proceedings of the 16th international conference on Developments in Language theory, DLT 2012, held in Taipei, Taiwan, in August 2012.;the 34 regular papers presented were carefully reviewed and selected from numerous submissions. the volume also contains the papers or extended abstracts of 4 invited lectures, as well as a special memorial presentation in honor of Sheng Yu. the topics covered include grammars, acceptors and transducers for words, trees and graphs; algebraic theories of automata; algorithmic, combinatorial and algebraic properties of words and languages; variable length codes; symbolic dynamics; cellular automata; polyominoes and multidimensional patterns; decidability questions; image manipulation and compression; efficient text algorithms; relationships to cryptography, concurrency, complexity theory and logic; bio-inspired computing; quantum computing.

关键词： computation by Abstract Devices Mathematical Logic and Formal Languages Logics and Meanings of Programs Coding and Information theory Discrete Mathematics in Computer Science

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State Identification for Labeled Transition Systems with Inputs and Outputs 16th

State Identification for Labeled Transition Systems with Inp...

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16th international conference on Formal Aspects of Component Software (FACS)

作者： van den Bos, Petra Vaandrager, Frits Radboud Univ Nijmegen Inst Comp & Informat Sci Nijmegen Netherlands

ISBN: (纸本)9783030409142;9783030409135

For Finite State Machines (FSMs) a rich testing theory has been developed to discover aspects of their behavior and ensure their correct functioning. Although this theory is widely used, e.g., to check conformance of protocol implementations, its applicability is limited by restrictions of the FSM framework: the fact that inputs and outputs alternate in an FSM, and outputs are fully determined by the previous input and state. Labeled Transition Systems with inputs and outputs (LTSs), as studied in ioco testing theory, provide a richer framework for testing component oriented systems, but lack the algorithms for test generation from FSM theory. In this article, we propose an algorithm for the fundamental problem of state identification during testing of LTSs. Our algorithm is a direct generalization of the well-known algorithm for computing adaptive distinguishing sequences for FSMs proposed by Lee & Yannakakis. Our algorithm has to deal with so-called compatible states, states that cannot be distinguished in case of an adversarial system-under-test. Analogous to the result of Lee & Yannakakis, we prove that if an (adaptive) test exists that distinguishes all pairs of incompatible states of an LTS, our algorithm will find one. In practice, such adaptive tests typically do not exist. However, in experiments with an implementation of our algorithm on an industrial benchmark, we find that tests produced by our algorithm still distinguish more than 99% of the incompatible state pairs.

关键词： computation theory

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Fast Layout computation of Hierarchically Clustered Networks: Algorithmic Advances and Experimental Analysis

Fast Layout Computation of Hierarchically Clustered Networks...

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international conference on Information Visualisation (IV)

作者： Walter Didimo Fabrizio Montecchiani Dipartimento di Ingegneria Elettronica e dell'Informazione Università degli Studi di Perugia Italy

Fast computation of two-dimensional layouts of hierarchically clustered networks is a well-studied problem in graph visualization. We present algorithmic and experimental advances on the subject: (i) We propose a new drawing algorithm that combines space-filling and fast force-directed methods; it runs in O(nlogn+m) time, where n and m are the number of vertices and edges of the network, respectively. this running time does not depend on the number of clusters, thus the algorithm guarantees good time performances independently of the structure of the cluster hierarchy. As a further advantage, the algorithm can be easily parallelized. (ii) We present an experimental analysis aimed at understanding which clustering algorithms can be used, in combination with our visualization technique, to generate better quality drawings for medium and large networks with small-world and scale-free structure. As far as we know, no previous similar experiments have been done in this respect.

关键词： Clustering algorithms Algorithm design and analysis Layout Partitioning algorithms Communities Image edge detection Visualization

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