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Parallel Processing Based on Ship Maneuvering in Identification of Interaction Force Coefficients 认领 引用 被引量：2
1
作者 刘小健 黄国樑 邓德衡 《Journal of Shanghai Jiaotong university(Science)》 EI 2008年第3期352-356,共5页
The parallel processing based on the free running model test was adopted to predict the interaction force coefficients （flow straightening coefficient and wake fraction） of ship maneuvering. And the multipopulation ... The parallel processing based on the free running model test was adopted to predict the interaction force coefficients （flow straightening coefficient and wake fraction） of ship maneuvering. And the multipopulation genetic algorithm （MPGA） based on real coding that can contemporarily process the data of free running model and simulation of ship maneuvering was applied to solve the problem. Accordingly the optimal individual was obtained using the method of genetic algorithm. The parallel processing of multiopulation solved the prematurity in the identification for single population, meanwhile, the parallel processing of the data of ship maneuvering （turning motion and zigzag motion） is an attempt to solve the coefficient drift problem. In order to validate the method, the interaction force coefficients were verified by the procedure and these coefficients measured were compared with those ones identified. The maximum error is less than 5%, and the identification is an effective method. 展开更多
关键词 interaction force coefficient multi-population genetic algorithm （MPGA） parallel processing parameter identification
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Parallel processing architecture of H.264 adaptive deblocking filters 认领 引用 被引量：1
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作者 Hu WEI Tao LIN Zheng-hui LIN 《Journal of Zhejiang University-SCIENCE A》 SCIE EI CAS 2009年第8期1160-1168,共9页
In H.264,computational complexity and memory access of deblocking filters are variable,dependent on video contents.This paper proposes a VLSI architecture of deblocking filters with adaptive dynamic power,which avoids... In H.264,computational complexity and memory access of deblocking filters are variable,dependent on video contents.This paper proposes a VLSI architecture of deblocking filters with adaptive dynamic power,which avoids redundant computations and memory accesses by precluding the blocks that can be skipped.The vertical and horizontal edges are simulta-neously processed in an advanced scan order to speed up the decoder.As a result,dynamic power of the proposed architecture can be reduced adaptively(up to about 89%) for different videos,and the off-chip memory access is improved when compared to previous designs.Moreover,the processing capability of the proposed architecture is in particular appropriate for real-time deblocking of high-definition television(HDTV,1920×1080 pixels/frame,60 frames/s video signals) video operation at 62 MHz.Using the proposed architecture,power can be reduced by up to about 89% and processing time by from 25% to 81% compared with previous designs. 展开更多
关键词 Deblocking filter Adaptive dynamic power Parallel processing Pipeline H.264
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REALIZATION OF QUICK-LOOK IMAGING FOR SPACEBORNE SAR BASED ON PARALLEL PROCESSING 认领 引用 被引量：1
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作者 TangZhi ZhouYinqing LiJingwen 《Journal of Electronics(China)》 2004年第2期152-158,共7页
Large range cell migration is a severe challenge to imaging algorithm for spaceborne SAR. Based on design of Finite Impulse Response (FIR) filter and Range Doppler (RD) algorithm, a realization of quick-look imaging f... Large range cell migration is a severe challenge to imaging algorithm for spaceborne SAR. Based on design of Finite Impulse Response (FIR) filter and Range Doppler (RD) algorithm, a realization of quick-look imaging for large range cell migration is proposed. It realized quick-look imaging of 8 times reduced resolution with parallel processing on memory shared 8 CPU SGI server. According to simulation experiment, this quick-look imaging algorithm with parallel processing can image 16384x16384 SAR raw data within 6 seconds. It reaches the requirement of real-time imaging. 展开更多
关键词 Space borne SAR Quick-look imaging Range cell migration Parallel processing
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Efficient Parallel Processing of k-Nearest Neighbor Queries by Using a Centroid-based and Hierarchical Clustering Algorithm 认领 引用
4
作者 Elaheh Gavagsaz 《Artificial Intelligence Advances》 2022年第1期26-41,共16页
The k-Nearest Neighbor method is one of the most popular techniques for both classification and regression purposes.Because of its operation,the application of this classification may be limited to problems with a cer... The k-Nearest Neighbor method is one of the most popular techniques for both classification and regression purposes.Because of its operation,the application of this classification may be limited to problems with a certain number of instances,particularly,when run time is a consideration.However,the classification of large amounts of data has become a fundamental task in many real-world applications.It is logical to scale the k-Nearest Neighbor method to large scale datasets.This paper proposes a new k-Nearest Neighbor classification method(KNN-CCL)which uses a parallel centroid-based and hierarchical clustering algorithm to separate the sample of training dataset into multiple parts.The introduced clustering algorithm uses four stages of successive refinements and generates high quality clusters.The k-Nearest Neighbor approach subsequently makes use of them to predict the test datasets.Finally,sets of experiments are conducted on the UCI datasets.The experimental results confirm that the proposed k-Nearest Neighbor classification method performs well with regard to classification accuracy and performance. 展开更多
关键词 Classification k-Nearest Neighbor Big data Clustering Parallel processing
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A Survey of MapReduce Based Parallel Processing Technologies 认领 引用 被引量：1
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作者 LU Jiamin FENG Jun 《China Communications》 SCIE CSCD 2014年第A2期146-155,共10页
Along with the increasing Big Data challenges,the MapReduce based systems are extensively welcomed,because of their remarkable simplicity and scalability.However,from the first day MapReduce is proposed,its argument w... Along with the increasing Big Data challenges,the MapReduce based systems are extensively welcomed,because of their remarkable simplicity and scalability.However,from the first day MapReduce is proposed,its argument with parallel Dt3MSs never stops,as it over-focuses on the scalability but overlooks the efficiency.Accordingly,extended systems are proposed in order to improve the peDbrmance on the limited scale clusters.In the meantime,traditional RDBMS technologies like structured data model,transaction,SQL,etc.are also getting more attention.This paper reviews such systems,from Google and also the third parties,trying to indicate the directions for the future research. 展开更多
关键词 parallel processing MapReduce variants
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An Adaptive Imperialist Competitive Algorithm with Cooperation for Flexible Jobshop and Parallel Batch Processing Machine Scheduling 认领 引用
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作者 Jie Wang Deming Lei 《Computers, Materials & Continua》 SCIE EI 2026年第6期1934-1960,共27页
Both flexible jobshop scheduling and parallel batch processing machine scheduling have been extensively considered;however,the flexible jobshop and parallel batch processing machine scheduling problem(FJPBPMSP)is prev... Both flexible jobshop scheduling and parallel batch processing machine scheduling have been extensively considered;however,the flexible jobshop and parallel batch processing machine scheduling problem(FJPBPMSP)is prevalent in real-life manufacturing processes and is seldom investigated.In this study,FJPBPMSP is examined,where flexible processing and batch processing are performed sequentially.An adaptive imperialist competitive algorithm with cooperation(CAICA)is proposed to minimize makespan and total energy consumption simultaneously.In CAICA,a four-string representation is adopted,and initial empires with novel structures are formed by uniformly dividing the population.An adaptive assimilation and revolution are designed.An adaptive assimilation and revolution are designed.An adaptive imperialist competition with cooperation is provided.Search strategies,imperialists,and colonies are also renewed by new procedures.Computational experiments are conducted on 50 instances.The computational results show that the new strategies of CAICA are effective,and CAICA can provide better results than its comparative algorithms in solving FJPBPMSP. 展开更多
关键词 Flexible jobshop scheduling parallel batch processing scheduling imperialist competition algorithm cooperation
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Divide and conquer:parallel processing in computational imaging 认领 引用
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作者 David J.Brady 《Advanced Photonics》 SCIE EI CAS CSCD 2025年第5期3-4,共2页
SpeedShot,a dual camera high-speed imaging technology recently demonstrated by Zhang et al.,'demonstrates a 32×increase in effective frame rate by leveraging the motion gradient in frames captured by parallel... SpeedShot,a dual camera high-speed imaging technology recently demonstrated by Zhang et al.,'demonstrates a 32×increase in effective frame rate by leveraging the motion gradient in frames captured by parallel cameras.As interframe-motion estimation is the core element of most video compression algorithms,SpeedShot can be understood as a physical layer implementation of such an algorithm.Here,we seek to explain the context that makes SpeedShot interesting and to consider the roadmap for continuing improvements in camera information capacity. 展开更多
关键词 video compression algorithmsspeedshot Speedshot motion gradient parallel camerasas divide conquer high speed imaging computational imaging parallel processing
Automation and parallelization scheme to accelerate pulsar observation data processing 认领 引用
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作者 Xingnan Zhang Minghui Li 《Astronomical Techniques and Instruments》 CSCD 2025年第4期226-238,共13页
Previous studies aiming to accelerate data processing have focused on enhancement algorithms,using the graphics processing unit(GPU)to speed up programs,and thread-level parallelism.These methods overlook maximizing t... Previous studies aiming to accelerate data processing have focused on enhancement algorithms,using the graphics processing unit(GPU)to speed up programs,and thread-level parallelism.These methods overlook maximizing the utilization of existing central processing unit(CPU)resources and reducing human and computational time costs via process automation.Accordingly,this paper proposes a scheme,called SSM,that combines“Srun job submission mode”,“Sbatch job submission mode”,and“Monitor function”.The SSM scheme includes three main modules:data management,command management,and resource management.Its core innovations are command splitting and parallel execution.The results show that this method effectively improves CPU utilization and reduces the time required for data processing.In terms of CPU utilization,the average value of this scheme is 89%.In contrast,the average CPU utilizations of“Srun job submission mode”and“Sbatch job submission mode”are significantly lower,at 43%and 52%,respectively.In terms of the data-processing time,SSM testing on the Five-hundred-meter Aperture Spherical radio Telescope(FAST)data requires only 5.5 h,compared with 8 h in the“Srun job submission mode”and 14 h in the“Sbatch job submission mode”.In addition,tests on the FAST and Parkes datasets demonstrate the universality of the SSM scheme,which can process data from different telescopes.The compatibility of the SSM scheme for pulsar searches is verified using 2 days of observational data from the globular cluster M2,with the scheme successfully discovering all published pulsars in M2. 展开更多
关键词 Astronomical data Parallel processing PulsaR Exploration and Search TOolkit(PRESTO) CPU FAST Parkes
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RESEARCH ON SATELLITE IMAGE PROCESSING AND RECOGNITION WITH PARALLEL ALGORITHM  认领 引用 被引量：1
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作者 刘正光 郭爱民 +1 位作者 程彦 刘勇 《Transactions of Tianjin University》 CAS 1999年第2期73-77,共5页
Using the method of mathematical morphology,this paper fulfills filtration,segmentation and extraction of morphological features of the satellite cloud image.It also gives out the relative algorithms,which is realized... Using the method of mathematical morphology,this paper fulfills filtration,segmentation and extraction of morphological features of the satellite cloud image.It also gives out the relative algorithms,which is realized by parallel C programming based on Transputer networks.It has been successfully used to process the typhoon and the low tornado cloud image.And it will be used in weather forecast. 展开更多
关键词 satellite cloud image extraction of morphological features mathematical morphology parallel processing
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High-dimensional robust nested parallel streaming adaptive processor 认领 引用
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作者 WU Gang HUANG Zhongping LEI Zhiyong 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2026年第2期431-444,共14页
The paper presents a full-exchange streaming adaptive processor architecture with nested parallel sampling covariance matrix estimation and adaptive weight computation,to achieve polarization-space-time adaptive proce... The paper presents a full-exchange streaming adaptive processor architecture with nested parallel sampling covariance matrix estimation and adaptive weight computation,to achieve polarization-space-time adaptive processing(P-STAP),adaptive digital beamforming(ADBF)and multiple side-lobe canceller(MSLC)within a configurable computational framework.An effective method for real-time numerical calculation is proposed by reducing truncation errors,ensuring robust convergence,and low time complexity through the lower-diagnoal-lower transpose(LDLT)right multiplication iterative(LDLT-RMI)method.To fully implement P-STAP for high-intensity interference clutter adaptive robust suppression,a series of intellectual property(IP)cores are designed for high-order,high-condition symmetric positive definite matrix inversion.The adaptive processor can operate on a frame-structured data flow,accommodating various space-time-frequency-polarization multi-domain combinations,which supports 8 to 100 channels with a dynamic range of up to 80 dB.Even the interferences reach a high intensity of 65 dB,the adaptive processor can still work stably. 展开更多
关键词 nested parallel streaming adaptive processing(P-STAP) configurable computational framework polarizationspace-time adaptive processing high-order high-condition matrix inversion
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Fourier hologram method using Gerchberg-Saxton algorithm for parallel femtosecond laser processing 认领 引用
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作者 汪金礼 苏亚辉 +2 位作者 崔洪涛 杨亮 方志伟 《Journal of Measurement Science and Instrumentation》 CAS 2012年第3期304-306,共3页
In order to improve femtosecond laser throughput,a parallel processing system consisting of liquid crystal on silicon(LCOS)device as spatial light modulator is put forward.A method is described for displaying Fourier ... In order to improve femtosecond laser throughput,a parallel processing system consisting of liquid crystal on silicon(LCOS)device as spatial light modulator is put forward.A method is described for displaying Fourier hologram on LCOS,and a high uniformity of several diffraction peaks in the computer reconstruction is achieved.Application of this method to the parallel femtosecond laser processing is also demonstrated,and two intersecting rings and three tangent rings are fabricated respectively by one time in the photoresist. 展开更多
关键词 femtosecond laser parallel processing liquid crystal on silicon(LCOS) Fourier hologram Gerchberg-Saxton(GS)algorithm
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Parallel processing via carbon field emission-based controlled switching of regular bijective nano systolic networks,part 1:basics 认领 引用
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作者 Anas N.Al-Rabadi 《International Journal of Intelligent Computing and Cybernetics》 EI 2016年第3期274-297,共24页
Purpose-The purpose of this paper is to introduce new implementations for parallel processing applications using bijective systolic networks and the corresponding carbon-based field emission controlled switching.The d... Purpose-The purpose of this paper is to introduce new implementations for parallel processing applications using bijective systolic networks and the corresponding carbon-based field emission controlled switching.The developed implementations are performed in the reversible domain to perform the required bijective parallel computing,where the implementations for parallel computations that utilize the presented field-emission controlled switching and their corresponding m-ary(many-valued)extensions for the use in nano systolic networks are introduced.The first part of the paper presents important fundamentals with regards to systolic computing and carbon-based field emission that will be utilized in the implementations within the second part of the paper.Design/methodology/approach-The introduced systolic systems utilize recent findings in field emission and nano applications to implement the functionality of the basic bijective systolic network.This includes many-valued systolic computing via field emission techniques using carbon-based nanotubes and nanotips.The realization of bijective logic circuits in current and emerging technologies can be very important for various reasons.The reduction of power consumption is a major requirement for the circuit design in future technologies,and thus,the new nano systolic circuits can play an important role in the design of circuits that consume minimal power for future applications such as in low-power signal processing.In addition,the implemented bijective systems can be utilized to implement massive parallel processing and thus obtaining very high processing performance,where the implementation will also utilize the significant size reduction within the nano domain.The extensions of implementations to field emission-based many-valued systolic networks using the introduced bijective nano systolic architectures are also presented.Findings-Novel bijective systolic architectures using nano-based field emission implementations are introduced in this paper,and the implementation using the general scheme of many-valued computing is presented.The carbon-based field emission implementation of nano systolic networks is also introduced.This is accomplished using the introduced field emission carbon-based devices,where field emission from carbon nanotubes and nano-apex carbon fibers is utilized.The implementations of the many-valued bijective systolic networks utilizing the introduced nano-based architectures are also presented.Originality/value-The introduced bijective systolic implementations form new important directions in the systolic realizations using the newly emerging nano-based technologies.The 2-to-1 multiplexer is a basic building block in“switch logic,”where in switch logic,a logic circuit is realized as a combination of switches rather than a combination of logic gates as in the gate logic,which proves to be less costly in synthesizing multiplexer-based wide variety of modern circuits and systems since nano implementations exist in very compact space where carbon-based devices switch reliably using much less power than silicon-based devices.The introduced implementations for nano systolic computation are new and interesting for the design in future nanotechnologies that require optimal design specifications of minimum power consumption and minimum size layout such as in low-power control of autonomous robots and in the adiabatic low-power very-large-scale-integration circuit design for signal processing applications. 展开更多
关键词 Nanotechnology Multiplexing Carbon nanotubes Controlled switching Switch logic Systolic networks Reversible logic Bijectivity Carbon nanotips Field emission Parallel processing
Parallel processing via carbon field emission-based controlled-switching of regular bijective nano systolic networks,Part II Architectural implementation 认领 引用
13
作者 Anas N.Al-Rabadi 《International Journal of Intelligent Computing and Cybernetics》 EI 2016年第4期369-393,共25页
Purpose–The purpose of this paper is to introduce new implementations for parallel processing applications using bijective systolic networks and their corresponding carbon-based field emission controlled switching.Th... Purpose–The purpose of this paper is to introduce new implementations for parallel processing applications using bijective systolic networks and their corresponding carbon-based field emission controlled switching.The developed implementations are performed in the reversible domain to perform the required bijective parallel computing,where the implementations for parallel computations that utilize the presented field-emission controlled switching and their corresponding many-valued(m-ary)extensions for the use in nano systolic networks are introduced.The second part of the paper introduces the implementation of systolic computing using two-to-one controlled switching via carbon-based field emission that were presented in the first part of the paper,and the computational extension to the general case of many-valued(m-ary)systolic networks utilizing many-to-one carbon-based field emission is also introduced.Design/methodology/approach–The introduced systolic systems utilize recent findings in field emission and nano applications to implement the functionality of the basic bijective systolic network.This includes many-valued systolic computing via field-emission techniques using carbon-based nanotubes and nanotips.The realization of bijective logic circuits in current and emerging technologies can be very important for various reasons.The reduction of power consumption is a major requirement for the circuit design in future technologies,and thus,the new nano systolic circuits can play an important role in the design of circuits that consume minimal power for future applications such as in low-power signal processing.In addition,the implemented bijective systems can be utilized to implement massive parallel processing and thus obtaining very high processing performance,where the implementation will also utilize the significant size reduction within the nano domain.The extensions of implementations to field emission-based many-valued systolic networks using the introduced bijective nano systolic architectures are also presented.Findings–Novel bijective systolic architectures using nano-based field emission implementations are introduced in this paper,and the implementation using the general scheme of many-valued computing is presented.The carbon-based field emission implementation of nano systolic networks is also introduced.This is accomplished using the introduced field-emission carbon-based devices,where field emission from carbon nanotubes and nano-apex carbon fibersisutilized.The implementationsof the many-valued bijective systolic networks utilizing the introduced nano-based architectures are also presented.Practical implications–The introduced bijective systolic implementations form new important directions in the systolic realizations using the newly emerging nano-based technologies.The 2-to-1 multiplexer is a basic building block in“switch logic,”where in switch logic,a logic circuit is realized as a combination of switches rather than a combination of logic gates as in the gate logic,which proves to be less costly in synthesizing multiplexer-based wide variety of modern circuits and systems since nano implementations exist in very compact space where carbon-based devices switch reliably using much less power than silicon-based devices.The introduced implementations for nano systolic computation are new and interesting for the design in future nanotechnologies that require optimal design specifications of minimum power consumption and minimum size layout such as in low-power control of autonomous robots and in the adiabatic low-power VLSI circuit design for signal processing applications.Originality/value–The introduced bijective systolic implementations form new important directions in the systolic realizations utilizing the newly emerging nanotechnologies.The introduced implementations for nano systolic computation are new and interesting for the design in future nanotechnologies that require optimal design specifications of high performance,minimum power and minimum size. 展开更多
关键词 Controlled switching Carbon nanotubes Systolic networks Nanotechnology Multiplexing Reversible logic Bijectivity Carbon nanotips Field emission Discrete-event dynamic systems Switch logic Parallel processing
Improved Strategies for Parallel Medical Image Processing Applications 认领 引用
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作者 WANG Kiln WANG Xiao-ying +1 位作者 LI San-li CHEN Ying 《Chinese Journal of Biomedical Engineering(English Edition)》 CAS 2008年第1期8-17,共10页
In order to meet the demands of high efficient and real-time computer assisted diagnosis as well as screening in medical area, to improve the efficacy of parallel medical image processing is of great importance. This ... In order to meet the demands of high efficient and real-time computer assisted diagnosis as well as screening in medical area, to improve the efficacy of parallel medical image processing is of great importance. This article proposes improved strategies for parallel medical image processing applications,which is categorized into two genera. For each genus individual strategy is devised, including the theoretic algorithm for minimizing the exertion time. Experiment using mammograms not only justifies the validity of the theoretic analysis, with reasonable difference between the theoretic and measured value, but also shows that when adopting the improved strategies, efficacy of medical image parallel processing is improved greatly. 展开更多
关键词 image processing parallel processing medical image
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Using Graphics Processing Units to Parallelize the FDK Algorithm for Tomographic Image Reconstruction 认领 引用
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作者 Joel Sancnchez Dominguez Luiz Femando de Oliveira +1 位作者 Nilton Alves Junior Joaquim Teixeira de Assis 《Journal of Chemistry and Chemical Engineering》 2012年第8期760-768,共9页
The paper presents the implementation of a parallel version of FDK （Felkamp, David e Kress） algorithm using graphics processing units. Discussion was briefly some elements the computed tomographic scan and FDK algor... The paper presents the implementation of a parallel version of FDK （Felkamp, David e Kress） algorithm using graphics processing units. Discussion was briefly some elements the computed tomographic scan and FDK algorithm; and some ideas about GPUs （Graphics Processing Units） and its use in general purpose computing were presented. The paper shows a computational implementation of FDK algorithm and the process of parallelization of this implementation. Compare the parallel version of the algorithm with the sequential version, used speedup as a performance metric. To evaluate the performance of parallel version, two GPUs, GeForce 9400GT （16 cores） a low capacity GPU and Quadro 2000 （192 cores） a medium capacity GPU was reached speedup of 3.37. 展开更多
关键词 Computed tomography images reconstruction FDK algorithm GPUs CUDA-C parallel processing.
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Parallel Image Processing Technology of Surface Detection System 认领 引用 被引量：2
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作者 LI Chang-le CHENG Wan-sheng FAN Ji-zhuang ZHAO Jie 《Semiconductor Photonics and Technology》 2008年第4期217-223,243,共7页
To improve image processing speed and detection precision of a surface detection system on a strip surface,based on the analysis of the characteristics of image data and image processing in detection system on the str... To improve image processing speed and detection precision of a surface detection system on a strip surface,based on the analysis of the characteristics of image data and image processing in detection system on the strip surface,the design of parallel image processing system and the methods of algorithm implementation have been studied. By using field programmable gate array(FPGA) as hardware platform of implementation and considering the characteristic of detection system on the strip surface,a parallel image processing system implemented by using multi IP kernel is designed. According to different computing tasks and the load balancing capability of parallel processing system,the system could set different calculating numbers of nodes to meet the system's demand and save the hardware cost. 展开更多
关键词 parallel image processing parallel algorithm surface defect FPGA multi IP core
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Adaptive compensation of nonlinear distortion in high-speed free-space optical systems 认领 引用
17
作者 Weijie WU Yatao YANG 《Optoelectronics Letters》 EI 2026年第6期360-365,共6页
Nonlinear distortions from atmospheric turbulence and scattering critically degrade free-space optical(FSO)communication performance.We propose a hybrid Vol_LSTM framework combining the Volterra model's nonlinear ... Nonlinear distortions from atmospheric turbulence and scattering critically degrade free-space optical(FSO)communication performance.We propose a hybrid Vol_LSTM framework combining the Volterra model's nonlinear characterization with long short-term memory(LSTM)temporal dynamic modeling.This synergistic approach adaptively compensates atmospheric-induced distortions through parallel processing of instantaneous nonlinear effects and time-varying channel dynamics.Simulations and experiments demonstrate a 32 d B power budget with 31.53%performance improvement and 21%computational complexity reduction compared to conventional methods,alongside enhanced disturbance resilience.The framework's dual mechanism of model-based Volterra filtering and data-driven LSTM adaptation provides a practical solution for atmospheric-challenged FSO systems,advancing robust optical communication design. 展开更多
关键词 d b synergistic approach nonlinear distortion parallel processing adaptive compensation instantaneous nonlinear effects atmospheric turbulence volterra models nonlinear characterization
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Development and Application of High-efficiency,Interactive Processing Functions of SP2 Parallel Computer 认领 引用
18
《China Oil & Gas》 CAS 2000年第2期44-44,共1页
关键词 Development and Application of High-efficiency,Interactive Processing Functions of SP2 Parallel Computer SP
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Parallel Distributed CFAR Detection Optimization Based on Genetic Algorithm with Interval Encoding 认领 引用 被引量：1
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作者 于泽 周荫清 《Chinese Journal of Aeronautics》 SCIE EI CAS 2010年第3期351-358,共8页
Aiming at parallel distributed constant false alarm rate （CFAR） detection employing K/N fusion rule,an optimization algorithm based on the genetic algorithm with interval encoding is proposed. N-1 local probabilitie... Aiming at parallel distributed constant false alarm rate （CFAR） detection employing K/N fusion rule,an optimization algorithm based on the genetic algorithm with interval encoding is proposed. N-1 local probabilities of false alarm are selected as optimization variables. And the encoding intervals for local false alarm probabilities are sequentially designed by the person-by-person optimization technique according to the constraints. By turning constrained optimization to unconstrained optimization,the problem of increasing iteration times due to the punishment technique frequently adopted in the genetic algorithm is thus overcome. Then this optimization scheme is applied to spacebased synthetic aperture radar （SAR） multi-angle collaborative detection,in which the nominal factor for each local detector is determined. The scheme is verified with simulations of cases including two,three and four independent SAR systems. Besides,detection performances with varying K and N are compared and analyzed. 展开更多
关键词 parallel processing systems synthetic aperture radar detectors genetic algorithms optimization encoding
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A Granularity-Aware Parallel Aggregation Method for Data Streams 认领 引用
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作者 WANG Yong-li XU Hong-bing XU Li-zhen QIAN Jiang-bo LIU Xue-jun 《Wuhan University Journal of Natural Sciences》 EI CAS 2006年第1期133-137,共5页
This paper focuses on the parallel aggregation processing of data streams based on the shared-nothing architecture. A novel granularity-aware parallel aggregating model is proposed. It employs parallel sampling and li... This paper focuses on the parallel aggregation processing of data streams based on the shared-nothing architecture. A novel granularity-aware parallel aggregating model is proposed. It employs parallel sampling and linear regression to describe the characteristics of the data quantity in the query window in order to determine the partition granularity of tuples, and utilizes equal depth histogram to implement partitio ning. This method can avoid data skew and reduce communi cation cost. The experiment results on both synthetic data and actual data prove that the proposed method is efficient, practical and suitable for time-varying data streams processing. 展开更多
关键词 data streams parallel processing linear regression aggregation data skew
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