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Three-dimensional shape measurement using improved binary spatio-temporal encoded illumination and voting algorithm

Three-dimensional shape measurement using improved binary sp...

2011 Fourth International Conference on Intelligent Computation Technology and Automation(2011年第四届智能计算技术与自动化国际会议 ICICTA 2011)

作者： Xue Kang Li Yong Song Fang Institute of Information Optics Zhejiang Normal University Jinhua 321004 China Institute of Command and Technology PLA Beijing 101416 China

ISBN: (纸本)9781612842899

Some regions of objects will be measured incorrectly or can't be measured in optical 3D measurement system based on coded structured light, due to occlusion, shadow, transfer function of measurement system and noise etc. To obtain 3D data as much as possible and as correctly as possible, we proposed a method using improved binary spatio-temporal encoded illumination and voting algorithm. Firstly, the BSE pattern is improved with a redundancy encoding method. One code is assigned to two adjacent sections and distinguished with their temporal coordinates. The redundancy encoding method provides more cues for code correcting and retrieving. Secondly, symbols are estimated according to four coding cues — code redundancy, continuity of stripes, intensity variation in temporal direction and neighbor symbols in sequence. Finally, a voting algorithm is adopted to obtain final symbols. A plaster model of human head was measured to validate the method. The experimental results reveal that more valid points can be obtained and the reliability of the decoding results is improved.

关键词： coded structured light optical three-dimensional shape measurement binary spatio-temporal encoded illumination redundancy encoding error detection and correction voting algorithm

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A Novel Vector Representation Model for Text Mining Based on Enhancing Features

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JOURNAL OF INTERNET TECHNOLOGY 2015年第3期16卷 475-484页

作者： Chen, Heng Jin, Hai Zhao, Feng Chen, Hanhua Fang, Fei Huazhong Univ Sci & Technol Serv Comp Technol & Syst Lab Wuhan Peoples R China Huazhong Univ Sci & Technol Cluster & Grid Comp Lab Wuhan Peoples R China

Semantics relationships such as polysemy and synonymy etc. contained in text documents can be used to enhance the features in the vector representation. Previous feature representation methods rarely consider such semantic relations to improve mining precision, because taking semantic relations into account greatly depends on the learning process. In this paper, we present a novel document representation method which utilizes semantic relations to enhance the features. To obtain semantic relations, we use the external resource of Wikipedia. Moreover, a term-concept mapping structure is constructed to describe features. When concepts are extracted from document, Markov random walk model is used to handle the semantic relationships between the concepts and related concepts are voted to enhance the features. We conduct comprehensive experiment using 20-newsgroup corpus and Reuters corpus. Results show that the proposed method has good performance in text mining.

关键词： Feature representation Semantic relation Semantic concept voting algorithm

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DLMCC-Distributed Lock Management in Cloud Computing

DLMCC-Distributed Lock Management in Cloud Computing

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2015 International Conference on Image Processing, Production and Computer Science (ICIPCS’2015);2015 International Conference on Chemical, Metallurgy and Environmental Engineering (ICCMEE-15);International Conference on Innovations in Civil and Structural Engineering (ICICSE’15)

作者： Artur Ko?i Betim ?i?o Computer Engineering Epoka University

Distributed storage systems with replication are well known for storing large amount of data. A large number of replication is done in order to provide reliability. This makes the system expensive. Various methods have been proposed over time to reduce the degree of replication and yet provide same level of reliability. One recently suggested scheme is of Regenerating codes, where a file is divided into parts which are then processed by a coding mechanism and network coding to provide large number of parts. These are stored at various nodes with more than one part at each node. These codes can generate whole file and can repair a failed node by contacting some out of total existing nodes. This property ensures reliability in case of node failure and uses clever replication. This also optimizes bandwidth usage. In a practical scenario, the original file will be read and updated many times. With every update, we will have to update the data stored at many nodes. Handling multiple requests at the same time will bring a lot of complexity. Reading and writing or multiple writing on the same data at the same time should also be prevented. In this paper, we propose an algorithm that manages and executes all the requests from the users which reduces the update complexity in cloud computing.

关键词： cloud data storage cloud computing distributed systems lock manager voting algorithm erasure codes etc

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Containing smartphone worm propagation with an influence maximization algorithm

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COMPUTER NETWORKS 2014年第PartB期74卷 103-113页

作者： Peng, Sancheng Wu, Min Wang, Guojun Yu, Shui Cent South Univ Sch Informat Sci & Engn Changsha 410083 Hunan Peoples R China Zhaoqing Univ Sch Comp Sci Zhaoqing 526061 Peoples R China Deakin Univ Sch Informat Technol Burwood Vic 3125 Australia

In recent years, wide attention has been drawn to the problem of containing worm propagation in smartphones. Unlike existing containment models for worm propagation, we study how to prevent worm propagation through the immunization of key nodes (e.g., the top k influential nodes). Thus, we propose a novel containment model based on an influence maximization algorithm. In this model, we introduce a social relation graph to evaluate the influence of nodes and an election mechanism to find the most influential nodes. Finally, this model provides a targeted immunization strategy to disable worm propagation by immunizing the top k influential nodes. The experimental results show that the model not only finds the most influential top k nodes quickly, but also effectively restrains and controls worm propagation. (C) 2014 Elsevier B.V. All rights reserved.

关键词： Smartphones Worm containment Influence maximization Social relationship graph voting algorithm Immunization

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Fault Tolerant Control to Mechanical Sensor Failures for Induction Motor Drive: A Comparative Study of voting algorithms

Fault Tolerant Control to Mechanical Sensor Failures for Ind...

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39th Annual Conference of the IEEE Industrial-Electronics-Society (IECON)

作者： Boukhnifer, Moussa Raisemche, Aziz Diallo, Demba Larouci, Cherif ESTACA Lab Commande & Syst 34 Rue Victor Hugo F-92300 Levallois Perret France Univ Paris Sud CNRS Lab Genie Electrique Paris UMR 8507 F-91192 Gif Sur Yvette France

ISBN: (纸本)9781479902248

In this paper, we present a comparative study of four voting algorithms for two Induction Motor drive fault tolerant control to speed sensor failure schemes. In both Output and Input Fault Tolerant controller, the voting algorithm chooses the most appropriate output signal to ensure the best behavior in degraded mode. The performances are evaluated through simulations of a 7.5kW Induction Motor drive with robustness testing against parametric variations, as well as under load testing. The results show that Euler, Newton-Raphson and Maximum Likelihood voting algorithms are more efficient than the Weighted Average in both Fault Tolerant Control schemes.

关键词： Induction motor voting algorithm Kalman Filter 2nd order sliding mode observer Fault Tolerant Control

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A Novel Weighted voting algorithm based on Neural Networks for Fault Tolerant Systems

A Novel Weighted Voting Algorithm based on Neural Networks f...

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2010 3rd IEEE International Conference on Computer Science and Information Technology—ICCSIT 2010

作者： Faraneh Zarafshan Gholam Reza Latif-Shabgahi Abbas Karimi Department of Computer and Communication Systems Engineering Faculty of EngineeringUPMMalaysia Department of Computer Engineering Faculty of EngineeringIslamic Azad University-Arak BranchIran Young Researchers Club Islamic Azad University-Arak BranchIran Computer and Electrical Department Faculty of EngineeringPower and Water university of TechnologyTehranIran

voting algorithms are used in a wide area of control systems from real-time and safety-critical control systems to pattern recognition,image processing and human organization systems in order to arbitrating among redundant results of processing in redundant hardware modules or software *** a point of view,voting algorithms can be categorized to agreement-based voters like plurality and majority or some voters which produce output regardless to agreement existence among the results of redundant *** some applications it is necessary to use second type voters including median and weighted *** both of median and weighted average voters are the choicest voters for highly available application,weighted average voting is often more trustable than *** median voter simply selects the mid-value of results;weighted average voter assigns weight to each input,based on their pre-determined priority or their differences,so that the share of more trustable inputs will increase rather than the inputs with low probable *** paper introduces a novel weighted average voting algorithm based on neural networks that is capable of improving the rate of system *** experimental results showed that the neural weighted average voter has increases the reliability 116.63% in general and 309.82%,130.27% and 9.37% respectively for large,medium and small errors in comparison with weighted average,and 73.87% in general and 160.44%,83.59% and 7.52% respectively for large,medium and small errors in comparison with median voter.

关键词： voting algorithm fault tolerance neural networks reliability.

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Fault Tolerant Control to Mechanical Sensor Failures for Induction Motor Drive: A Comparative Study of voting algorithms

Fault Tolerant Control to Mechanical Sensor Failures for Ind...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Moussa Boukhnifer Aziz Raisemche Demba Diallo Cherif Larouci Laboratoire Commande et Systemes ESTACA Laboratoire de Genie Electrique de Paris Univ. Paris Sud

ISBN: (纸本)9781479902255

关键词： Induction motor voting algorithm Kalman Filter 2nd order sliding mode observer Fault Tolerant Control fault-tolerant control induction motors induction motor drives Vote Mechanical sensors Kalman filters

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A Synergistic Framework for Geographic Question Answering

A Synergistic Framework for Geographic Question Answering

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7th IEEE International Conference on Semantic Computing (ICSC)

作者： Chen, Wei Fosler-Lussier, Eric Xiao, Ningchuan Raje, Satyajeet Ramnath, Rajiv Sui, Daniel Ohio State Univ Dept Comp Sci & Engn Columbus OH 43210 USA Ohio State Univ Dept Geog Columbus OH 43210 USA

ISBN: (纸本)9780769551197

QA (question answering) systems designated for answering in-depth geographic questions are highly demanded but not quite available. Previous research has visited various individual aspects of a QA system but few synergistic frameworks have been proposed. This paper investigates the nature of geographic question formation and observes their unique linguistic structures that can be semantically translated into a spatial query. We create a new task of solving non-trivial questions using GIS (Geographic Information System) and test it with an associated corpus. A dynamic programming algorithm is developed for classification and voting algorithm for verification. Two types of ontologies are integrated for disambiguating and discriminating spatial terms. PostGIS serves as the GIS backend to provide domain expertise for spatial reasoning. Results show that exact answers can be returned quickly and correctly by our system. Contrast classification results in improved accuracy compared with the baseline which proves the effectiveness of proposed methods.

关键词： nlp gis question answering ontology voting algorithm machine learning dynamic programming spatial SQL

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A Redundant FPGA Based Controller for Subsea Blowout Preventer Stack

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JOURNAL OF COMPUTERS 2012年第10期7卷 2446-2453页

作者： Liu, Zengkai Liu, Yonghong Cai, Baoping Wang, Fei Chen, Zhili Tian, Xiaojie Wang, Yazhou China Univ Petr Coll Mech & Elect Qingdao Peoples R China

A redundant Field Programmable Gate Array (FPGA) based controller for subsea Blowout Preventer (BOP) is presented. Triple modular redundancy technique is used for architecture design, since high reliability is a necessary requirement for subsea BOP control system. A multiprocessor system is developed to enhance reliability of the processors and performance of the system. In addition, the shared memory method is applied to interchange information between the processors. One processor is responsible for communication, while the others run application programs. The proposed system has been implemented using three FPGA development boards, which are connected to each other through RS-232 serial ports. Besides, the voting algorithms for discrete input, analog input and discrete output are proposed. Functional simulation of the output voting is performed by using the Quartus II Simulator software. The results demonstrate that the proposed controller is able to tolerate faults, which means it has extremely high reliability.

关键词： FPGA TMR multiprocessor system voting algorithm subsea blowout preventer

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Methods of orientating different Resolution Satellite Images with the existing Vector Maps

Methods of orientating different Resolution Satellite Images...

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7th Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR) - Remote Sensing Image Processing, Geographic Information Systems, and Other Applications

作者： Lu, Luping Zhang, Yong Zhang, Yongjun Zhang, Zuxun Wuhan Univ Sch Remote Sensing & Informat Engn Wuhan 430079 Peoples R China

ISBN: (纸本)9780819485809

In this paper, the different methods of orientating different resolution satellite images with the existing vector maps are introduced. To moderate high resolution satellite image, such as SPOT5 image, the vector road maps are often used for the orientation, and the vector lines in the maps usually represent the road central lines. And to higher resolution satellite image, such as QuickBird image, the vector lines in the maps usually represent the road edges, instead. Beside that, the different extend of details of the images makes it necessary to handle them with different methods. Because in very high resolution satellite images a lot of disturbing image features will be extracted along with the wanted one. A voting algorithm is employed to solve the problem, the approach is based on the previous work where an edge-based voting strategy was studied(1). The voting algorithm has the advantages of globally optimal and robust to noise. It can directly estimate the transformation parameters, meanwhile providing the potential matches of edge points, these matches can then be used in calculating the accurate orientation parameters, and providing the chance of change detection since the unchanged objects can be marked out with this method.

关键词： high-resolution satellite imagery vector map auto-orientation voting algorithm generalized point photogrammetry

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