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检索条件"主题词=Algorithm Design And Analysis"

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Competitive Coevolutionary Training of Simple Soccer Agents from Zero Knowledge

Competitive Coevolutionary Training of Simple Soccer Agents ...

引用

IEEE Congress on Evolutionary Computation (CEC)

作者： Scheepers, Christiaan Engelbrecht, Andries P. Univ Pretoria Sch Informat Technol Dept Comp Sci ZA-0002 Pretoria South Africa

ISBN: (纸本)9781479914883

A new competitive coevolutionary team-based particle swarm optimisation (CCPSO) algorithm is developed to train multi-agent teams from zero knowledge. The CCPSO algorithm uses the charged particle swarm optimiser to train neural network controllers for simple soccer agents. The training performance of the CCPSO algorithm is analysed. The analysis identifies a critical weakness of the CCPSO algorithm in the form of outliers in the measured performance of the trained players. A hypothesis is presented that explains the presence of the outliers, followed by a detailed discussion of various biased and unbiased relative fitness functions. A new relative fitness function based on FIFA's league ranking system is presented. The performance of the unbiased relative fitness functions is evaluated and discussed. The final results show that the FIFA league ranking relative fitness function outperforms the other unbiased relative fitness functions, leading to consistent training results.

关键词： algorithm design and analysis Educational institutions Games Neural networks Optimization Training Vectors

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Boosting Performance of Map Matching algorithms by Parallelization on Graphics Processors 28

Boosting Performance of Map Matching Algorithms by Paralleli...

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28th IEEE Intelligent Vehicles Symposium (IV)

作者： Auer, Markus Rehborn, Hubert Molzahn, Sven-Eric Bogenberger, Klaus Daimler AG Res & Dev Bela Barenyi Str D-71059 Sindelfingen Germany Munich Univ Fed Armed Forces Dept Traff Engn Werner Heisenberg Weg 39 D-85577 Neubiberg Germany

ISBN: (纸本)9781509048045

In this paper existing map matching algorithms are combined and modified such, that the resulting algorithm is suitable for the implementation on the graphics processing unit (GPU). The map matching algorithm implemented on GPU consists of a geometrical and topological processing step, which provides high accuracy with high efficiency at the same time. An important building block of the implementation is the parallelization of the R*-tree search. An efficient implementation is achieved by high data parallelism and minimal divergence between execution blocks. The presented map matching algorithm performs better than available open source implementations.

关键词： Roads Global Positioning System Graphics processing units algorithm design and analysis Indexes Kernel Arrays

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A Fully Automated Method for Segmentation and Classification of Local Field Potential Recordings. Preliminary Results 39

A Fully Automated Method for Segmentation and Classification...

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39th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC)

作者： Diaz-Parra, Antonio Canals, Santiago Moratal, David Univ Politecn Valencia Ctr Biomat & Tissue Engn Cami Vera S-N E-46022 Valencia Spain CSIC Inst Neurociencias Sant Joan dAlacant Spain Univ Miguel Hernandez Sant Joan dAlacant Spain

ISBN: (纸本)9781509028092

Identification of brain states measured with electrophysiological methods such as electroencephalography and local field potential (LFP) recordings is of great importance in numerous neuroscientific applications. For instance, in Brain Computer Interface, in the diagnosis of neurological disorders as well as to investigate how brain rhythms stem from synchronized physiological mechanisms (e.g., memory and learning). In this work, we propose a fully automated method with the aim of partitioning LFP signals into stationary segments as well as classifying each detected segment into three different classes (delta, regular theta or irregular theta rhythms). Our approach is computationally efficient since the process of detection and partition of signals into stationary segments is only based on two features (the variance and the so-called spectral error measure) and allow the classification at the same time. We developed the algorithm upon analyzing six anesthetized rats, resulting in a true positive rate of 97.5%, 91.8% and 79.1% in detecting delta, irregular theta and regular theta rhythms, respectively. This preliminary quantitative evaluation offers encouraging results for further research.

关键词： Classification algorithms Oscillators Feature extraction Measurement uncertainty Electric potential Electroencephalography algorithm design and analysis

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Guiding Text Image Keypoints Extraction Through Layout analysis 7

Guiding Text Image Keypoints Extraction Through Layout Analy...

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14th IAPR International Conference on Document analysis and Recognition (ICDAR)

作者： Royer, E. Bouchara, F. Univ Toulon & Var Aix Marseille Univ CNRS ENSAMLSIS Marseille France

ISBN: (纸本)9781538635865

The rise of the smartphone industry has increased the need for mobile capture of document images and with embedded applications. In the field of image processing, detecting keypoints and computing their associated features is the first step of numerous algorithms. However, keypoints detectors are mostly designed for real world images and usually don't behave well with document images. In this paper, we propose an idea which consists in guiding keypoints extraction by using the document layout information. We compare this approach with the CORE algorithm for confusion reduction, on three classical descriptors. Results show improvements in both matching quality and processing times.

关键词： Feature extraction Layout algorithm design and analysis Detectors Text analysis Mobile communication

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Towards Load-Balanced VNF Assignment in Geo-distributed NFV Infrastructure 25

Towards Load-Balanced VNF Assignment in Geo-distributed NFV ...

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25th IEEE/ACM International Symposium on Quality of Service (IWQoS)

作者： Fei, Xincai Liu, Fangming Xu, Hong Jin, Hai Huazhong Univ Sci & Technol Minist Educ Sch Comp Sci & Technol Key Lab Serv Comp Technol & Syst Wuhan Hubei Peoples R China City Univ Hong Kong NetX Lab Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781538627044

Network functions virtualization (NFV) is increasingly adopted by telecommunications (telecos) service providers for cost savings and flexible management. However, deploying virtual network functions (VNFs) in geo-distributed central offices (COs) is not straightforward. Unlike most existing centralized schemes in clouds, VNFs of a service chain usually need to be deployed in multiple COs due to limited resource capacity and uneven setup cost at various locations. To ensure the Quality of Service of service chains, a key problem for service providers is to determine where a VNF should go, in order to achieve cost-efficiency and load balancing of both computing and bandwidth resources, across all selected COs. To this end, we present a framework of CO Selection (CS) and VNF Assignment (VA) for distributed deployment of NFV. Specifically, we first select a set of COs that minimizes the communication cost among the selected COs. Then, we employ a shadow-routing based approach, which minimizes the maximum of appropriately defined CO utilizations, to jointly solve the VNF-CO and VNF-server assignment problem. Simulations demonstrate the effectiveness of CS algorithm, and asymptotic optimality, scalability and high adaptivity of the VNF assignment approach.

关键词： Bandwidth Servers Load management Quality of service Load modeling algorithm design and analysis Approximation algorithms

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A Novel Method for Target Tracking and Obstacle Avoidance in Dynamic Environments

A Novel Method for Target Tracking and Obstacle Avoidance in...

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International Congress on Technology, Communication and Knowledge (ICTCK)

作者： Alavijeh, Marzieh Zamani Malekzadeh, Maryam Univ Isfahan Dept Mech Engn Esfahan Iran

ISBN: (纸本)9781479980215

This paper deals with mobile robot navigation in an unknown environment. The proposed algorithm is inspired from artificial potential field (APF) and rotational force method. In the proposed algorithm, the robot's velocity vector is simply determined by relative position vector of robot with respect to target and obstacles. This algorithm is applicable to both stationary and dynamic environments with one or more obstacles and guarantees that the robot can safely track the moving target even in the conditions of local minima or goal not reachable with obstacle nearby. In order to make the simulation more practical, it is applied to wheeled mobile robot. Simulation results show the effectiveness of the proposed approach.

关键词： collision avoidance mobile robots radionavigation target tracking APF artificial potential field dynamic environments mobile robot navigation moving target obstacle avoidance relative position vector robots velocity vector rotational force method algorithm design and analysis Collision avoidance Heuristic algorithms Mobile robots Navigation Vectors Target tracking Collision avoidance Mobile robots Mobile robot navigation Obstacle avoidance Radio navigation algorithm design and analysis accurate position finder Heuristic algorithms navigation potential field Robot

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An experiment in discovering association rules in the legal domain 11

An experiment in discovering association rules in the legal ...

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11th International Workshop on Database and Expert Systems Applications

作者： Bench-Capon, T Coenen, F Leng, P Univ Liverpool Dept Comp Sci LIAL Liverpool L69 3BX Merseyside England

In this paper we explore the applicability of an algorithm designed for finding association rules in large databases to the discovery of relevant associations from a large case base.

ISBN: (纸本)0769506801

In this paper we explore the applicability of an algorithm designed for finding association rules in large databases to the discovery of relevant associations from a large case base.

关键词： algorithm design and analysis Artificial neural networks Association rules Computer science Data mining Databases Hospitals Informatics Law Legal factors

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Useless memory allocation in system-on-a-chip test: Problems and solutions 20

Useless memory allocation in system-on-a-chip test: Problems...

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20th IEEE VLSI Test Symposium (VTS 02)

作者： Gonciari, PT Al-Hashimi, BM Nicolici, N Univ Southampton Dept ECS Southampton SO9 5NH Hants England

ISBN: (纸本)0769515703

Unlike the existing research direction that focuses oil useful test data reduction, this paper analyzes the useless test data memory requirements for system-on-a-chip test. The proposed solution to minimize the useless test memory is based on a new test methodology which combines a novel core wrapper design algorithm with a new test vector deployment procedure stored in the automatic test equipment (ATE). To reduce memory requirements, the proposed core wrapper design finds the minimum number of wrapper scan chain partitions such that the useless memory allocation is minimized in each partition, which facilitates efficient usage of ATE capabilities. Further, the new test vector deployment procedure provides a seamless integration with the ATE. When compared to the previously proposed core wrapper design algorithms, the proposed test methodology reduces the memory requirements up to 45%, without any penalties in test area overhead.

关键词： algorithm design and analysis Automatic test equipment Automatic testing Circuit testing design for testability Integrated circuit testing Partitioning algorithms Semiconductor device manufacture System testing System-on-a-chip

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Static output feedback fuzzy controller design via a mixed approach for regional T-S fuzzy system

Static output feedback fuzzy controller design via a mixed a...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Sheng-Ming Wu Fang-Ming Yu Chein-Chung Sun Hung-Yuan Chung Natl Cent Univ Dept Elect Engn Chungli 320 Taiwan St Johns Univ Dept Comp Sci Taipei Taiwan

ISBN: (纸本)9781424400997

This paper proposes a Takagi-Sugeno (T-S) fuzzy region model to relax the original one. Such switching concept has got rid of Parallel Distributed Compensation (PDC) complicated analysis. By mixing Genetic algorithm (GA) and Linear Matrix Inequality (LMI), we present a new hybrid approach about the static output feedback controller design. It is unlike other researches that involve complicated mathematic transformations and system constraints. In this paper, we fix the static output feedback gains by GA to solve the non-convex problem. It is proved that the existence of a set of solvable Non-Linear Matrix Inequality (NLMI) suffices to guarantee the stabilization of T-S fuzzy region system. Numerical examples are given to illustrate the effectiveness of the algorithm and validate the new method.

关键词： Fuzzy systems Output feedback Fuzzy control Control systems Linear matrix inequalities Takagi-Sugeno model Genetic algorithms Linear feedback control systems algorithm design and analysis Mathematics

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design of a Monopole ESPAR Antenna Using a Novel Sidelobe Reduction algorithm 31

Design of a Monopole ESPAR Antenna Using a Novel Sidelobe Re...

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29th URSI General Assembly and Scientific Symposium (URSI GASS)

作者： Sun, Jiawen Chen, Wenhua Jiang, Wanshun CETC Inst 41 Sci & Technol Elect Test & Measurement Lab Qingdao Peoples R China Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China

ISBN: (纸本)9781467352253

A monopole Electronic Steering Passive Array Radiator (ESPAR) antenna for continuous wave RCS measurement is proposed in this paper. A novel robust sidelobe Reduction (SLR) adaptive algorithm is used to optimize the reactive load for each passive element. Simulated results show that the monopole ESPAR antenna has good capacity of pattern steering in azimuth.

关键词： algorithm design and analysis Antenna arrays Antenna radiation patterns Arrays Loaded antennas

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