16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06)最新文献

Reliability-Based Selective Repeat Hybrid ARQ Protocol on Low Density Parity Check Codes 基于低密度奇偶校验码的可靠性选择性重复混合ARQ协议

16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06) Pub Date : 2006-11-29 DOI: 10.1109/ICAT.2006.104

Fugui Huang, Xiaoxin Yi, Tie Wang

引用次数: 8

Surface Reconstruction with Least Square Reproducing Kernel and Partition of Unity 最小二乘再现核曲面重构与统一分割

16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06) Pub Date : 2006-11-29 DOI: 10.1109/ICAT.2006.120

Jun Yang, Changqian Zhu, Hua Zhang

引用次数: 1

Techniques for Selecting and Manipulating Object in Virtual Environment Based on 3-DOF Trackers and Data Glove 基于三自由度跟踪器和数据手套的虚拟环境中目标选择与操纵技术

16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06) Pub Date : 2006-11-29 DOI: 10.1109/ICAT.2006.123

Yingzhen Liu, Gang Wan

引用次数: 3

A Model for Massively Multiplayer Role-Playing Games System Performance 大型多人角色扮演游戏系统性能模型

16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06) Pub Date : 2006-11-29 DOI: 10.1109/ICAT.2006.13

Jiyi Wu, Xiangguo Gong, Jiwen Zheng

引用次数: 1

The Algebraic Computing Structure of Four DNA Bases 四种DNA碱基的代数计算结构

16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06) Pub Date : 2006-11-29 DOI: 10.1109/ICAT.2006.125

P. Zhu, Xuqing Tang, Zhe Xu, Weihong Guan

引用次数: 0

Multirate Interacting Multiple Model Algorithm Combined with Particle Filter for Nonlinear/Non-Gaussian Target Tracking 结合粒子滤波的多速率交互多模型算法用于非线性/非高斯目标跟踪

16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06) Pub Date : 2006-11-29 DOI: 10.1109/ICAT.2006.92

Guixi Liu, E. Gao, Chunyu Fan

引用次数: 1

An Efficient Method for Very Large Scale Out-of-Core Terrain Visualization 一种大规模核外地形可视化的有效方法

16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06) Pub Date : 2006-11-29 DOI: 10.1109/ICAT.2006.36

Huijie Zhang, Jigui Sun, Haihong Yu, Changsong Qi

{"title":"An Efficient Method for Very Large Scale Out-of-Core Terrain Visualization","authors":"Huijie Zhang, Jigui Sun, Haihong Yu, Changsong Qi","doi":"10.1109/ICAT.2006.36","DOIUrl":"https://doi.org/10.1109/ICAT.2006.36","url":null,"abstract":"Large scale terrain visualization with high- resolution has an increasing demand in many research fields. To realize the efficient rendering of terrain, this paper presents an out-of-core terrain visualization method based on multi-resolution storage techniques. In external memory, the terrain data set is subdivided from top to bottom to build a multi-resolution hierarchical structure based on a quad-tree. The hierarchical structure can decimate the elevation data that must be loaded into internal memory. Thus it can improve the efficiency of I/O access greatly. Moreover, in order to implement rapid data retrieval of the real time terrain flyover, an efficient indexing algorithm is proposed, in which those nodes in the hierarchical structure will be divided into several clusters in terms of the similarities of static error and the closed space constraint. In addition, a method for crack-free is also proposed here. The comprehensive experiment conducted on the GTOP30 data set shows that this approach outperforms the Block and the Hierarchy algorithms in the both ways of efficiency and simplification ratio.","PeriodicalId":133842,"journal":{"name":"16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120946612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

A Simplification to Support Vector Machine for the Second Training 支持向量机二次训练的简化

16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06) Pub Date : 2006-11-29 DOI: 10.1109/ICAT.2006.27

Jinglong Fang, Shuo Chen, Zhigeng Pan, Yigang Wang

引用次数: 3

Fault Diagnosis System for Turbo-Generator Set Based on Fuzzy Neural Network 基于模糊神经网络的汽轮发电机组故障诊断系统

16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06) Pub Date : 2006-11-29 DOI: 10.1109/ICAT.2006.63

Ping Yang, Qing-miao Wang

{"title":"Fault Diagnosis System for Turbo-Generator Set Based on Fuzzy Neural Network","authors":"Ping Yang, Qing-miao Wang","doi":"10.1109/ICAT.2006.63","DOIUrl":"https://doi.org/10.1109/ICAT.2006.63","url":null,"abstract":"When a fault such as unbalance occurs in a turbogenerator set, sensors should be put on its bearing to detect vibration signals for extracting fault symptoms and then diagnose faults. But the relationships between faults and fault symptoms are too complex to get enough accuracy for industry application. In this paper, a new diagnosis method based on fuzzy neural network is proposed and a fuzzy neural network system is structured by associating fuzzy set theory with neural network technology. Especially, an effective fuzzy organization method for training samples is presented, fault symptoms are discretized by a focusing quantization method and are then fuzzified to obtain fuzzy sets. In addition, the standard fault data which is confirmed by application is added to standard fault case database in order to improve accuracy of diagnosis system. Finally, a vibration fault diagnosis system for 600 MW turbo-generator set is designed and realized by the proposed system structure based on fuzzy neural network, its running results showed that the new system could satisfy fault diagnosis requirement of large turbo-generator set, its accuracy varied from 92 percent to 98 percent.","PeriodicalId":133842,"journal":{"name":"16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06)","volume":"22 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133621481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

A New Iris Locating Algorithm 一种新的虹膜定位算法

16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06) Pub Date : 2006-11-29 DOI: 10.1109/ICAT.2006.18

Yongjun Shen, Min-jie Zhang, Jie-wei Yue, Hong-min Ye

引用次数: 17