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检索条件"任意字段=Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition"

共 692 条记录，以下是71-80 订阅

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proceedings - 2015 IEEE 17th international conference on High Performance computing and Communications, 2015 IEEE 7th international Symposium on Cyberspace Safety and Security and 2015 IEEE 12th international conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015

Proceedings - 2015 IEEE 17th International Conference on Hig...

引用

17th IEEE international conference on High Performance computing and Communications, IEEE 7th international Symposium on Cyberspace Safety and Security and IEEE 12th international conference on Embedded Software and Systems, HPCC-ICESS-CSS 2015

ISBN: (纸本)9781479989362

the proceedings contain 243 papers. the topics discussed include: availability-aware virtual network embedding for multi-tier applications in cloud networks;a cluster-based hybrid access strategy using non-cooperative game theory for ultra-dense HetNet;a cost and contention conscious scheduling for recovery in cloud environment;customer churn aware resource allocation and virtual machine placement in cloud;a head record cache structure to improve the operations on big files in cloud storage servers;predicting scheduling failures in the cloud: a case study with Google clusters and Hadoop on Amazon EMR;parallel BP neural network on single-chip cloud computer;different implementations of AES cryptographic algorithm;HETS: heterogeneous edge and task scheduling algorithm for heterogeneous computing systems;constructing a mobility and acceleration computing platform with NVIDIA Jetson TK1;evaluation of hybrid parallel cell list algorithms for Monte Carlo simulation;and efficient parallel multi-pattern matching using GPGPU acceleration for packet filtering.

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Task Offloading Strategy in Satellite Edge computing Based on Matching Game 12

Task Offloading Strategy in Satellite Edge Computing Based o...

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12th international conference on Networks, Communication and computing (ICNCC)

作者： Cao, Hufan Wang, Houpeng Wu, Tao Guo, Zhonglin Cao, Suzhi Chinese Acad Sci China Univ Beijing Peoples R China Beijing Inst Control & Elect Technol Beijing Peoples R China Chinese Acad Sci Technol & Engn Ctr Space Utilizat Key Lab Space Utilizat Beijing Peoples R China

ISBN: (纸本)9798400709265

the Low Earth Orbit (LEO) satellite network, serving as a vital complement to the terrestrial backbone network, has emerged as a prospective path for future mobile communication systems, owing to its extensive coverage. In this paper, a three-tier computing architecture catering for application scenarios where ground terminal has limited resources and elevated quality of service (QoS) requisites is presented. the proposed design features vertical collaboration among ground users, LEO satellites, and remote cloud servers, providing collaborative computing task offloading capabilities. We consider the delay and energy consumption of the system, formulated the offloading decision problem as a nonlinear integer programming problem, and then introduced an offloading mechanism that utilizes an improved version of the Gale-Shapley (GS) algorithm and non-cooperative game theory (MGSCO) to approximate the optimal solution under specified constraints. the outcomes of simulations indicate that this strategy can significantly mitigate system delays and energy consumption, in contrast to reference strategies.

关键词： Satellite Edge computing Collaborative computing Computation Offloading Matching Game

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recognition of Partial Discharge in Medium Voltage Switchgear via Gray-Scale Diagram and Support Vector Machine 12

Recognition of Partial Discharge in Medium Voltage Switchgea...

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12th international conference on Power and Energy Systems (ICPES)

作者： Wu, Xutao Jin, Lei Liu, Weifeng Niu, Bo Li, Zecheng Ma, Yunlong State Grid Ningxia Elect Power Co Ltd Elect Power Res Inst Yinchuan Peoples R China Xi An Jiao Tong Univ Sch Elect Engn Xian Peoples R China

ISBN: (纸本)9781665451451

Partial discharge (PD) has been proved to be a sensitive indicator to reveal the insulation condition of medium voltage (MV) switchgear. Since the influence of a PD on MV switchgear strongly depends on its type and location, accurate recognition of the PD is crucial to improve the efficiency of on-site measurement and optimize the maintenance strategy. Accordingly, this paper develops a PD recognition method based on gray-scale diagram and support vector machine. Labeled signals including many PD pulses are transformed into a gray-scale diagram via a two-dimensional maximum margin criterion, significantly reducing the dimensionality of the PD data thus improving computing efficiency. Models of different types of PD defects are then trained by applying the support vector machine to the labeled gray-scale diagrams. Eventually, the type of a PD is identified via the trained models. the effectiveness and feasibility of the proposed method are verified on four artificial PD models and three simulated PD defects on a real 10-kV switchgear.

关键词： switchgear partial discharge SVM pattern recognition simulated real defects

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Accurate and robust circular object detection using conditional probability searching

Accurate and robust circular object detection using conditio...

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2012 IEEE 12th international conference on Computer and Information Technology, CIT 2012

作者： Shi, Yu Wang, Ran Wang, Guoyou Li, XiuHua Insititute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780769548586

Circular object detection is very important in image processing. In this paper, accurate and robust circular object detection using probability searching is presented. the main contributions are threefold. We first redefine the gradient line with direction, which is robust against noise. then we randomly select two pixels to determine a candidate center and radius by the intersection of gradient lines in a connected region instead of the whole image to improve time speed. After the candidate circle is determined, we search the other points using the conditional probability, and we revise accurate center and radius quickly in the searching process. three tests demonstrate that the proposed method outperforms single-circle and multi-circle detection methods in the robust, accuracy and real-time. © 2012 IEEE.

关键词： Object detection

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Target-based rhythmic pattern generation and variation with genetic algorithms 12

Target-based rhythmic pattern generation and variation with ...

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12th international conference on Sound and Music computing, SMC 2015

作者： Nuanáin, Cárthach Ó. Herrera, Perfecto Jordà, Sergi Music Technology Group Universitat Pompeu Fabra Barcelona Spain

ISBN: (纸本)9780992746629

Composing drum patterns and musically developing them through repetition and variation is a typical task in electronic music production. We propose a system that, given an input pattern, automatically creates related patterns using a genetic algorithm. Two distance measures (the Hamming distance and directed-swap distance) that relate to rhythmic similarity are shown to derive usable fitness functions for the algorithm. A software instrument in the Max for Live environment presents how this can be used in real musical applications. Finally, a user survey was carried out to examine and compare the effectiveness of the fitness metrics in determining rhythmic similarity as well as the usefulness of the instrument for musical creation. © 2015 Cárthach Ó Nuanáin,.

关键词： Genetic algorithms

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Bi-Mapping Between RDF and Property Graphs 12

Bi-Mapping Between RDF and Property Graphs

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12th international conference of Information and Communication Technology, ICTech 2023

作者： Zhang, Guanghui Yu, Bo Bu, Liping Shenyang Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences Shenyang China Shenyang Institute of Computing Technology Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9798350332919

the existing solutions of RDF mapping to Property Graph can only complete one-direction mapping, which leads to the difficulty of knowledge reuse in the domain of knowledge graph. this paper proposes a solution based on mapping structure to convert RDF to Property Graph, and compares it with Neosemantics from three aspects: computability, information preservation and semantic preservation. It is proved that the solution proposed in this paper has better universality and higher efficiency in the process of bidirectional mapping and improves the circulability and reusability of knowledge in the knowledge storage domain. © 2023 IEEE.

关键词： Mapping

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Two-Dimensional Hidden Markov Models for pattern recognition

Two-Dimensional Hidden Markov Models for Pattern Recognition

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12th international conference on Artificial Intelligence and Soft computing, ICAISC 2013

作者： Bobulski, Janusz Adrjanowicz, Lukasz Czestochowa Tech Univ Inst Comp & Informat Sci PL-42200 Czestochowa Poland

ISBN: (纸本)9783642386572

Hidden Markov models are well-known methods for image processing. they are used in many areas where 1D data are processed. In the case of 2D data, there appear some problems with application HMM. there are some solutions, but they convert input observation from 2D to 1D, or create parallel pseudo 2D HMM, which is set of 1D HMMs in fact. this paper describes authentic 2D HMM with two-dimensional input data, and its application for pattern recognition in image processing.

关键词： hidden Markov model pattern recognition image processing

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proceedings of the 12th international conference on Cloud computing and Services Science, CLOSER 2022

Proceedings of the 12th International Conference on Cloud Co...

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12th international conference on Cloud computing and Services Science, CLOSER 2022

ISBN: (纸本)9789897585708

the proceedings contain 32 papers. the topics discussed include: performance of databases used in data stream processing environments;semantic code clone detection method for distributed enterprise systems;analysis and rewrite of quantum workflows: improving the execution of hybrid quantum algorithms;live migration of containers in the edge;offline mining of microservice-based architectures;predicting and avoiding SLA violations of containerized applications using machine learning and elasticity;a novel weight-assignment load balancing algorithm for cloud applications;comparison of FaaS platform performance in private clouds;evaluation of language runtimes in open-source serverless platforms;cloud function lifecycle considerations for portability in function as a service;saga pattern technologies: a criteria-based evaluation;and reconstructing the holistic architecture of microservice systems using static analysis.

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A Multi-Sensor Algorithm for Activity and Workflow recognition in an Industrial Setting 19

A Multi-Sensor Algorithm for Activity and Workflow Recogniti...

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12th ACM international conference on PErvasive Technologies Related to Assistive Environments (PETRA)

作者： thomay, Christian Gollan, Benedikt Haslgruebler, Michael Ferscha, Alois Heftberger, Josef Res Studios Austria Pervas Comp Applicat Vienna Austria Johannes Kepler Univ Linz Inst Pervas Comp Linz Austria Fischer Sports GmbH Ried Austria

ISBN: (纸本)9781450362320

In the recent revival of human labour in industry, and the subsequent push to optimally combine the strengths of man and machine in industrial processes, there is an increased need for methods allowing machines to understand and interpret the actions of their users. An important aspect of this is the understanding and evaluation of the progress of the workflows that are to be executed. Methods for this require both an appropriate choice of sensors, as well as algorithms capable of quickly and efficiently evaluating activity and workflow progress. In this paper we present such an algorithm, which provides activity and workflow recognition using both depth and RGB cameras as input. the algorithm's main purpose is to be used in an industrial training station, allowing novice workers to learn the necessary steps in assembling nordic ski products without the need for human supervision. We will describe how the algorithm recognizes predefined workflows in the sensor data, and present a comprehensive evaluation of the algorithm's performance on a real data recording of operators performing their work in an industrial setting. We will show that the algorithm fulfills the necessary requirements and is ready to be implemented in the training station application.

关键词： Industrial assistance systems activity recognition pattern recognition pervasive computing sensor fusion

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Interactive visual pattern recognition

Interactive visual pattern recognition

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16th international conference on pattern recognition (ICPR)

作者： Nagy, G Zou, J Rensselaer Polytech Inst Troy NY 12180 USA

ISBN: (纸本)076951695X

Computer Assisted Visual Interactive recognition (CAVIAR) draws on sequential pattern recognition, image database, expert systems, pen computing, and digital camera technology. It is designed to recognize wild flowers and other families of similar objects more accurately than machine vision and faster than most laypersons. the novelty of the approach is that human perceptual ability is exploited through interaction with the image of the unknown object. the computer remembers the characteristics of all previously seen classes, suggests possible operator actions, and displays confidence scores based on already detected features. In one application, consisting of 80 test images of wild flowers, 10 laypersons averaged 80% recognition accuracy, at 12 seconds per flower.

关键词： Expert systems

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