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Sensor network scheduling algorithm considering estimation error variance and communication energy

Sensor network scheduling algorithm considering estimation e...

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IEEE Conference on Control Technology and Applications (CCTA)

作者： Takashi Takeda Toru Namerikawa Division of Electrical Engineering and Computer Science Graduate School of Natural Science and Technology Kanazawa University Kanazawa Japan Department of System Design Engineering Keio University Yokohama Japan

This paper deals with a sensor scheduling algorithm considering estimation error variance and communication energy in sensor networked feedback systems. We propose a novel decentralized estimation algorithm with unknown inputs in each sensor node. Most existing works deal with the sensor network systems as sensing systems and it is difficult to apply them to the real physical feedback control systems Then some local estimates are merged and the merged estimates can be optimized in the proposed method and the estimation error covariance has a unique positive definite solution under some assumptions. Next, we propose a novel sensor scheduling algorithm in which each sensor node transmits information. A sensor node uses energy by communication between other sensor node or the plant. The proposed algorithm achieves a sub-optimal network topology with minimum energy and a desired variance. Experimental results show an effectiveness of the proposed method.

关键词： Network topology Estimation error Equations Covariance matrix Scheduling algorithm Silicon

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Robot localization and mapping problem with unknown noise characteristics

Robot localization and mapping problem with unknown noise ch...

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IEEE Conference on Control Technology and Applications (CCTA)

作者： Hamzah Ahmad Toru Namerikawa Division of Electrical Engineering and Computer Science Graduate School of Natural Science and Technology Kanazawa University Ishikawa Japan Department of System Design Engineering Keio University Yokohama Japan

In this paper, we examine the H ∞ Filter-based SLAM especially about its convergence properties. In contrast to Kalman Filter approach that considers zero mean gaussian noise, H ∞ Filter is more robust and may provide sufficient solutions for SLAM in an environment with unknown statistical behavior. Due to this advantage, H ∞ Filter is proposed in this paper, to efficiently estimate the robot and landmarks location under worst case situations. H ∞ Filter requires the designer to appropriately choose the noise's covariance with respect to γ to obtain a desired outcome. We show some of the conditions to be satisfy in order to achieve better estimation results than Kalman Filter. From the experimental results, H ∞ Filter performs better than Kalman Filter for a case of bigger robot initial uncertainties. Subsequently, this proved that ∞ Filter can provide another available estimation method for especially in SLAM.

关键词： Hafnium Simultaneous localization and mapping Noise Covariance matrix Estimation Probabilistic logic

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Towards assertion-based verification of heterogeneous system designs 10

Towards assertion-based verification of heterogeneous system...

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Design, Automation and Test in Europe Conference and Exhibition

作者： Stefan Lammermann Jurgen Ruf Thomas Kropf Wolfgang Rosenstiel Alexander Viehl Alexander Jesser Lars Hedrich Department of Computer Engineering University of Tubingen Tubingen Germany Microelectronic System Design FZI Forschungszentrum Informatik Karlsruhe Germany Department of Computer Science University of Frankfurt Frankfurt Germany

ISBN: (纸本)9783981080162

In this paper a comprehensive assertion-based verification methodology for the digital, analog and software domain of heterogeneous systems is presented. The proposed methodology combines a novel mixed-signal assertion language and the corresponding automatic verification algorithm. The algorithm translates the heterogeneous temporal properties into observer automata for a semi-formal verification. This enables automatic verification of complex heterogeneous properties that can not be verified by existing approaches. The experimental results show the integration of mixed-signal assertions into a simulation environment and demonstrate the broad applicability and the high value of the evolved solution.

关键词： Automata Central Processing Unit Temperature sensors Microprogramming Frequency synthesizers Digital systems computerized monitoring Formal specifications Logic Design engineering

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Fuzzy C-means cluster segmentation algorithm based on hybridized particle swarm optimization

Fuzzy C-means cluster segmentation algorithm based on hybrid...

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International Conference on Bio-Inspired Computing: Theories and Applications, BICTA

作者： Yan-ling Li Yi Shen College of Computer and Information Technology Xinyang Normal University Xinyang China Institute of System Engineering Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China

Fuzzy C-Means(FCM) algorithm is one of the most popular methods for image segmentation, but it is in essence a technology of searching local optimal solution. The algorithm's initial clustering centers are the stochastic selection which causes it to depend on the selection of the initial cluster centers excessively. It always converges at the local optimum and is sensitive to noise. In order to overcome those defects, the fuzzy C-means cluster segmentation algorithm based on hybridized particle swarm optimization is proposed in this paper. Firstly, the hybridized particle swarm algorithm is used to get the initial cluster centers. Then, the images are segmented using standard FCM algorithm. Experimental results show that the proposed algorithm used for image segmentation can segment images more effectively and can provide more robust segmentation results.

关键词： Magnetic resonance imaging Integrated circuits Legged locomotion Image segmentation Educational institutions

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On the computation of the minimal siphons of S4PR nets from a generating family of siphons

On the computation of the minimal siphons of S4PR nets from ...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Elia E. Cano Carlos A. Rovetto José-Manuel Colom Department of Computer Science and System Engineering University of Zaragoza Spain Aragón Institute of Research Engineering(I3A) University of Zaragoza Spain

Minimal siphons in the class of S 4 PR nets have become a conceptual and practical central tool to deal with deadlocks caused by the sharing of resources in Flexible Manufacturing systems. The availability of efficient algorithms to compute these structural objects is very important. In this paper we take advantage from the particular properties of the siphons in S 4 PR to obtain an efficient algorithm. These properties allow to compute the minimal siphons from a generating family of minimal siphons. This family is composed by the minimal siphons containing only one resource. The computation of the minimal siphons is based in the maximal strongly connected components of a graph representing the relations between the siphons of the generating family. The algorithm is very economic in memory in all intermediate steps with respect to the classical algorithms.

关键词： Production Labeling system recovery Availability Flexible manufacturing systems Robots Petri nets

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LEEN: Locality/fairness-aware key partitioning for MapReduce in the cloud

LEEN: Locality/fairness-aware key partitioning for MapReduce...

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2nd IEEE International Conference on Cloud Computing Technology and science, CloudCom 2010

作者： Ibrahim, Shadi Jin, Hai Lu, Lu Wu, Song He, Bingsheng Qi, Li Cluster and Grid Computing Lab Services Computing Technology and System Lab Huazhong University of Science and Technology Wuhan 430074 China School of Computer Engineering Nanyang Technological University Singapore 639798 Singapore Information and Technology Department China Development Bank Beijing 100037 China

ISBN: (纸本)9780769543024

This paper investigates the problem of Partitioning Skew1 in MapReduce-based system. Our studies with Hadoop, a widely used MapReduce implementation, demonstrate that the presence of partitioning skew causes a huge amount of data transfer during the shuffle phase and leads to significant unfairness on the reduce input among different data nodes. As a result, the applications experience performance degradation due to the long data transfer during the shuffle phase along with the computation skew, particularly in reduce phase. We develop a novel algorithm named LEEN for locality-aware and fairness-aware key partitioning in MapReduce. LEEN embraces an asynchronous map and reduce scheme. All buffered intermediate keys are partitioned according to their frequencies and the fairness of the expected data distribution after the shuffle phase. We have integrated LEEN into Hadoop-0.18.0. Our experiments demonstrate that LEEN can efficiently achieve higher locality and reduce the amount of shuffled data. More importantly, LEEN guarantees fair distribution of the reduce inputs. As a result, LEEN achieves a performance improvement of up to 40% on different workloads. © 2010 IEEE.

关键词： MapReduce

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TCP SYN flood detection based on payload analysis

TCP SYN flood detection based on payload analysis

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2010 8th IEEE Student Conference on Research and Development - engineering: Innovation and Beyond, SCOReD 2010

作者： Haris, S.H.C. Ahmad, R.B. Ghani, M.A.H.A. Waleed, Ghossoon M. School of Computer and Communication Engineering Universiti Malaysia Perlis P.O Box 77 d/a Pejabat Pos Besar 01000 Kangar Perlis Malaysia Department of Management Information System Applied Science University College of Administrative Science Villa 351 Road 141Block 340 Juffaie. Manama Bahrain

ISBN: (纸本)9781424486489

Transmission Control Protocol (TCP) Synchronized (SYN) Flood has become a problem to the network management to defend the network server from being attacked by the malicious attackers. The malicious attackers can easily exploit the TCP three-way handshake by making the server exhausted and unavailable with spoofed Internet Protocol (IP) address. The main problem in this paper is how to detect TCP SYN flood through network. This paper used anomaly detection to detect TCP SYN flood attack based on payload and unusable area in Hypertext Transfer Protocol (HTTP). The results show that the proposed detection method can detect TCP SYN Flood in the network through the payload. ©2010 IEEE.

关键词： Transmission control protocol

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Passive doppler synthetic aperture radar imaging 8

Passive doppler synthetic aperture radar imaging

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8th European Conference on Synthetic Aperture Radar, EUSAR 2010

作者： Wang, Ling Yarman, Can Evren Yazici, Birsen College of Information Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing210016 China Houston Technology Center WesterGeco Schlumberger HoustonTX77042 United States Department of Electrical Computer and System Engineering Rensselaer Polytechnic Institute TroyNY12180 United States

ISBN: (纸本)9783800732722

In this paper we consider passive airbore receivers that use backscattered signals from sources of opportunity transmitting fixed-frequency waveforms. Due to its combined passive synthetic aperture and the fixed-frequency nature of the transmitted waveforms, we refer to the system under consideration as Doppler Synthetic Aperture Hitchhiker (DSAH). We present a novel image formation method for DSAH. Our method first correlates the windowed signal obtained from one receiver with the windowed, filtered, scaled and translated version of the received signal from another receiver. This processing removes the transmitter related variables from the phase of the Fourier integral operator that maps the radiance of the scene to the correlated signal. We next use the micro local analysis to reconstruct the scene radiance by the weighted-backprojection of the correlated signal. This imaging algorithm can put the visible edges of the scene radiance at the correct location, and under appropriate conditions, with correct strength. We show that the resolution of the image is directly related to the length of the support of the windowing function and the frequency of the transmitted waveform. © VDE VERLAG GMBH · Berlin · Offenbach.

关键词： Integral equations

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A More Accurate Space Saving Algorithm for Finding the Frequent Items

A More Accurate Space Saving Algorithm for Finding the Frequ...

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International Workshop on Database Technology and Applications

作者： Jun Zhou Ming Chen Huan Xiong Department of Computer Science Institute of Command Automation People''s Liberation Army University of Science and Technology Nanjing China Department of Computer Network China Electrical System Engineering Research Institute Beijing China

The frequent items problem is to process a stream as a stream of items and find all items occurring more than a given fraction of the time. It is one of the most heavily studied problems in data stream mining, dating back to the 1980s. Aiming at higher false positive rate of the Space-Saving algorithm, an LRU-based (Least Recently Used, LRU) improved algorithm with low frequency item pre-eliminated is proposed. Accuracy, stability and adaptability of the improved algorithm have been apparently enhanced. Experimental results indicate that the algorithm can not only be used to find the frequent items, and can be used to estimate the frequency of them precisely. The improved algorithm can be used for online processing both high-speed network packet stream and backbone NetFlow stream.

关键词： Monitoring Radiation detectors Algorithm design and analysis Accuracy Heuristic algorithms Complexity theory Classification algorithms

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Experimental implementation of test method for dynamic characterization of DAC based on over sampling and low resolution ADC

Experimental implementation of test method for dynamic chara...

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IEEE Instrumentation and Measurement Technology Conference

作者： A. Baccigalupi A. Liccardo D.L. Carnì D. Grimaldi Department of Information Engineering University of Naples “Federico II” Naples Italy Department of Electronics Computer and System Science University of Calabria Rende (CS) Italy

ISBN: (纸本)9781424428328;9781424428335

The paper deals with the experimental implementation of a test method to perform the dynamic characterization of the Digital to Analog Converter (DAC). This test method is based on the experimental detection of the Zero Crossing Time Sequence (ZCTS) into the resulting signal difference between the DAC output and the auxiliary reference one. From the ZCTS the numerical procedure reconstructs in the time domain and analyzes in the frequency domain the non-uniformly sampled output signal of the DAC. Advantageous aspect for the experimental implementation is the fact that the ZCTS can be detected by high speed low resolution ADC. The paper is focused on the experimental set up of the measurement station, the solutions to obtain the reference signal and the requirements to acquire the resulting signal with the proper resolution in order to detect the ZCTS. The results of the experimental tests carried out on the output section of 12 bit waveform generator are presented.

关键词： Sampling methods Signal resolution Signal generators Voltage Digital-analog conversion system testing Linearity Frequency Performance evaluation Time domain analysis

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