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检索条件"主题词=Algorithm design and analysis"

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Towards a Parameter Tuning Approach for a Map-Matching algorithm

Towards a Parameter Tuning Approach for a Map-Matching Algor...

引用

IEEE International Conference on Vehicular Electronics and Safety (ICVES)

作者： Blazquez, Carola A. Ries, Jana Miranda, Pablo A. Univ Andres Bello Vina Del Mar Chile Univ Portsmouth Portsmouth Hants England Pontificia Univ Catolica Valparaiso Sch Ind Engn Valparaiso Chile

ISBN: (纸本)9781509056774

Map Matching algorithms (MMA) are developed to solve spatial ambiguities that arise in the process of assigning GPS measurements onto a digital roadway network. There is a lack of systematic parameter tuning approaches for optimizing the MMA performance. Thus, a novel integrated framework is proposed for a systematic calibration of the parameters of a post-processing MMA. The calibration approach consists of an Instance-specific Parameter Tuning Strategy (IPTS) that employs Fuzzy Logic principles. The proposed fuzzy IPTS tool determines the best algorithm parameter values by using instance-specific information a priori to the execution of the MMA. A preliminary prototype of an IPTS system is designed based on real-world data, which identifies the explanatory variables that condition the MMA performance. The implementation of the fuzzy IPTS tool on real-word data yields an enhanced MMA performance in the solution quality and computational time compared to the results of the execution of the MMA with constant algorithm settings.

关键词： Global Positioning System algorithm design and analysis Tuning Tools Heuristic algorithms Roads Calibration

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Robust and Scalable Column/Row Sampling from Corrupted Big Data 16

Robust and Scalable Column/Row Sampling from Corrupted Big D...

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16th IEEE International Conference on Computer Vision (ICCV)

作者： Rahmani, Mostafa Atia, George Univ Cent Florida Orlando FL 32816 USA

ISBN: (纸本)9781538610343

Conventional sampling techniques fall short of drawing descriptive sketches of the data when the data is grossly corrupted as such corruptions break the low rank structure required for them to perform satisfactorily. In this paper, we present new sampling algorithms which can locate the informative columns in presence of severe data corruptions. In addition, we develop new scalable randomized designs of the proposed algorithms. The proposed approach is simultaneously robust to sparse corruption and outliers and substantially outperforms the state-of-the-art robust sampling algorithms as demonstrated by experiments conducted using both real and synthetic data.

关键词： Robustness Sparse matrices Clustering algorithms Data models Conferences Computer vision algorithm design and analysis

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Information Diffusion algorithms over WSNs for Non-Asymptotic Confidence Region Evaluation

Information Diffusion Algorithms over WSNs for Non-Asymptoti...

引用

IEEE International Conference on Communications (ICC)

作者： Calisti, Alex Dardari, Davide Pasolini, Gianni Kieffer, Michel Bassi, Francesca Univ Bologna DEI Vle Risorgimento 2 Bologna Italy Univ Paris Sud CentraleSupelec CNRS Lab Signaux & Syst F-91192 Gif Sur Yvette France

ISBN: (纸本)9781467389990

Getting confidence regions for parameter estimates obtained from data collected by a wireless sensor network (WSN) is very important to assess the performance of the estimator. The sign perturbed sums (SPS) approach has been proposed recently to defined exact confidence regions in a centralized setting even if only few measurements are available. SPS may be distributed to get confidence regions at each node of a WSN. This paper investigates a data dissemination strategy called Tagged and Aggregated Sums (TAS), exploiting the particularities of SPS, to efficiently provide each node with the information necessary to evaluate locally the confidence region. TAS and flooding (FL) algorithms have been investigated through simulations and then implemented on commercial sensor nodes. The impact of collision avoidance mechanisms at the medium access control (MAC) layer is also experimentally assessed. Performance comparisons show that TAS outperforms FL in structured networks.(1)

关键词： Wireless sensor networks Estimation Noise measurement Network topology Ad hoc networks algorithm design and analysis Performance evaluation

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Distributed Self-healing for Mobile Robot Networks with Multiple Robot Failures

Distributed Self-healing for Mobile Robot Networks with Mult...

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Chinese Automation Congress (CAC)

作者： Shen, Yi Chen, Weidong Wang, Jingchuan Shanghai Jiao Tong Univ Dept Automat Shanghai 200240 Peoples R China Minist Educ China Key Lab Syst Control & Informat Proc Shanghai 200240 Peoples R China

ISBN: (纸本)9781538635247

In the multi-robot applications, the maintained and desired network may he destroyed by failed robots. The existing self-healing algorithms only handle with the case of single robot failure, however, multiple robot failures may cause several challenges, such as disconnected network and conflicts among repair paths. This paper presents a distributed self-healing algorithm based on 2-hop neighbor infomation to resolve the problems caused by multiple robot failures. Simulations and experiment show that the proposed algorithm manages to restore connectivity of the mobile robot network and improves the synchronization of the network globally, which validate the effectiveness of the proposed algorithm in resolving multiple robot failures.

关键词： Maintenance engineering Mobile robots Synchronization Robot sensing systems algorithm design and analysis

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Streaming Graph Challenge: Stochastic Block Partition

Streaming Graph Challenge: Stochastic Block Partition

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IEEE High Performance Extreme Computing Conference (HPEC)

作者： Kao, Edward Gadepally, Vijay Hurley, Michael Jones, Michael Kepner, Jeremy Mohindra, Sanjeev Monticciolo, Paul Reuther, Albert Samsi, Siddharth Song, William Staheli, Diane Smith, Steven MIT Lincoln Lab 244 Wood St Lexington MA 02173 USA

ISBN: (纸本)9781538634721

An important objective for analyzing real-world graphs is to achieve scalable performance on large, streaming graphs. A challenging and relevant example is the graph partition problem. As a combinatorial problem, graph partition is NP-hard, but existing relaxation methods provide reasonable approximate solutions that can be scaled for large graphs. Competitive benchmarks and challenges have proven to be an effective means to advance state-of-the-art performance and foster community collaboration. This paper describes a graph partition challenge with a baseline partition algorithm of sub-quadratic complexity. The algorithm employs rigorous Bayesian inferential methods based on a statistical model that captures characteristics of the real-world graphs. This strong foundation enables the algorithm to address limitations of well-known graph partition approaches such as modularity maximization. This paper describes various aspects of the challenge including: (1) the data sets and streaming graph generator, (2) the baseline partition algorithm with pseudocode, (3) an argument for the correctness of parallelizing the Bayesian inference, (4) different parallel computation strategies such as node-based parallelism and matrix-based parallelism, (5) evaluation metrics for partition correctness and computational requirements, (6) preliminary timing of a Python-based demonstration code and the open source C++ code, and (7) considerations for partitioning the graph in streaming fashion. Data sets and source code for the algorithm as well as metrics, with detailed documentation are available at ***.

关键词： Partitioning algorithms Stochastic processes Bayes methods Inference algorithms Measurement algorithm design and analysis Clustering algorithms

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Early CU Size Determination Based on Image Complexity in HEVC

Early CU Size Determination Based on Image Complexity in HEV...

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Data Compression Conference (DCC)

作者： Zhang, Mengmeng Dou, Shipeng Liu, Zhi North China Univ Technol 5 Jin Yuanzhaung Rd Beijing 100144 Peoples R China

ISBN: (纸本)9781509067213

High-Efficiency Video Coding (HEVC) is the newest video coding standard and presents improved efficiency. However, the coding computational complexity of this process is significant because of its coding structure called quad-tree structure coding units (CUs) for improving compression efficiency. In this paper, a fast algorithm based on image complexity of current CU is proposed to reduce the computational complexity caused by CU partition. Using the number of colors, entropy, and contrast can distinguish the image complexity of different CUs. Such complexity is related to whether the CU needs to be partitioned or its rate distortion optimization can be skipped. Coding bits of current CU are used as qualifications to determine whether to partition the current CU. Experimental results show that the proposed algorithm can reduce coding time by 35% on average and exhibits an acceptable loss of Bjøntegaard delta bit rate of 0.8% compared with the default algorithm in HM-16.11 for encoding natural sequences.

关键词： Encoding Copper High efficiency video coding algorithm design and analysis Computational complexity Image coding

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Mapping of P4 Match Action Tables to FPGA 27

Mapping of P4 Match Action Tables to FPGA

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27th International Conference on Field Programmable Logic and Applications (FPL)

作者： Kekely, Michal Korenek, Jan Brno Univ Technol Fac Informat Technol Brno Czech Republic

ISBN: (纸本)9789090304281

Current networks are changing very fast. Network administrators need more flexible and powerful tools to be able to support new protocols or services very fast. The P4 language provides new level of abstraction for flexible packet processing. Therefore, we have designed new architecture for memory efficient mapping of P4 match/action tables to FPGA. The architecture is based on DCFL algorithm and is able to balance the processing speed and available memory resources.

关键词： Throughput Field programmable gate arrays Hardware Memory management algorithm design and analysis Protocols

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Provably-Correct Fault Tolerant Control with Delayed Information 56

Provably-Correct Fault Tolerant Control with Delayed Informa...

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56th Annual IEEE Conference on Decision and Control (CDC)

作者： Yang, Liren Ozay, Necmiye Univ Michigan Dept EECS Ann Arbor MI 48109 USA

ISBN: (纸本)9781509028733

In this paper, we study a class of hierarchical finite transition systems representing a set of fault configurations, and we consider synthesizing fault tolerant controllers for such systems that lead to a graceful degradation as faults occur. In previous work, the problem was solved under the assumptions that (i) the specification for each fault configuration is of "reach-avoid-stay" type, (ii) the knowledge of the fault occurrence is immediate. We extend the previous work in two aspects. First, we propose an algorithm that works for specifications given in a more general fragment of linear temporal logic. Secondly, we show how the proposed algorithm can be modified to synthesize controllers that guarantee satisfaction of the specification even in the presence of fault detection delays.

关键词： Delays Fault detection Silicon Detectors Degradation algorithm design and analysis Labeling

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Content Caching Clustering Based on Piecewise Interest Similarity

Content Caching Clustering Based on Piecewise Interest Simil...

引用

IEEE Global Telecommunications Conference (GLOBECOM)

作者： Chen, Qi Wang, Wei Wang, Yitu Zhou, Pan Zhang, Zhaoyang Zhejiang Univ Coll Informat Sci & Elect Engn Hangzhou 310027 Zhejiang Peoples R China Huazhong Univ Sci & Technol Sch Elect Informat & Commun Wuhan 430074 Hubei Peoples R China

ISBN: (纸本)9781509050192

Cooperative caching is a promising technology for enhancing user experience and reducing redundant transmissions through the participation of multiple caching nodes. In this paper, we design a clustering algorithm for the sectionalized caching, in which each user divides its caching space into two parts and the contents cached in these two parts are determined according to the individual interest and the joint interest of all users in the same cluster respectively. Different to most of the existing works forming the clusters based on the interest similarity of all files, we adopt the piecewise interest similarity as the criterion of clustering, which takes advantage of the content diversity and contributes to the reduction of the transmission delay. We measure the gain of the cooperation between two users and obtain the piecewise interest similarity for two users accordingly. Since the gain of clustered caching highly depends on the formed cluster structure, we estimate the gain of the clustered caching based on the piecewise interest similarities by online learning and propose an affinity propagation (AP) based clustering algorithm. Finally, our proposed clustering algorithm is evaluated by simulation to show its superiority over the conventional clustering algorithms.

关键词： Delays Clustering algorithms algorithm design and analysis Mobile handsets Cooperative caching Optimization

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A High Precision Clock Synchronization algorithm for the EtherCAT 12

A High Precision Clock Synchronization Algorithm for the Eth...

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12th IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Liu, Jingmeng Yang, Long Xu, Dong Wu, Xingming Beihang Univ Sch Automat Sci & Elect Engn Beijing Peoples R China

ISBN: (纸本)9781509061617

EtherCAT (Ethernet control automation technology) has the advantages of high speed, high efficiency and many kinds of physical topology. EtherCAT uses distributed clock technology to achieve precise clock synchronization between slave nodes. It is especially important for the precise clock synchronization in the real-time control system. The crystal oscillator of slave stations will lead to tiny difference of the timing cycle between them. Transmission process of data frame between the different stations also produce delays. These clock synchronization delay errors will affect the performance of real-time systems. In order to minimize the error and improve the real-time performance of the system, it is necessary to study the EtherCAT clock synchronization algorithm. This paper presents a high precision clock synchronization algorithm which is based on the improvement of the clock synchronization algorithm of EtherCAT. Toolbox Truetime is a simulation toolbox based on Matlab/Simulink, it can be used to simulate distributed realtime control systems and network control systems. The feasibility of the algorithm is verified by Truetime toolbox, and the new algorithm has high precision.

关键词： Clocks Synchronization Propagation delay algorithm design and analysis Real-time systems Heuristic algorithms Control systems

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