2005 IEEE International Conference on Information Acquisition最新文献_第9页

The biological inspired somatic neuron design and its application in robot nervous system 仿生体细胞神经元设计及其在机器人神经系统中的应用

2005 IEEE International Conference on Information Acquisition Pub Date : 1900-01-01 DOI: 10.1109/ICIA.2005.1635139

Zhongcheng Wu, Enliang Song, Fei Shen, Dezhang Xu, Bing Fang

{"title":"The biological inspired somatic neuron design and its application in robot nervous system","authors":"Zhongcheng Wu, Enliang Song, Fei Shen, Dezhang Xu, Bing Fang","doi":"10.1109/ICIA.2005.1635139","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635139","url":null,"abstract":"The nervous system is the major controlling, regulatory, and communicating system in human body. One of the basic functions of the nervous system is the sensory, by which one monitors the external and internal environments. Sensory pathways to the cortex usually consist of three sensory neurons termed 1st order, 2nd order, and 3rd order neurons. In this paper, a standard biological inspired neuron was presented, which can be acted as the basis node of robot perceptual systems. The hardware and software has been designed and implemented for modeling, testing and employing sensor networks composing of many identical neuron nodes. Each node considers ease-of-use and power considerations. Some requirements, such as 'plug-and-play' capability, system integration and dynamic reconfiguration, were described, which is achieved through an 'transducer electronic data sheet' (TEDS) in our networked transducer neuron node. The TEDS contains fields that fully describe the type, operation, and attributes of one or more transducers and its data formats are defined. The paper also specifies a digital interface for connecting neuron to access the TEDS data sheets for reading sensor data and setting actuators. Each neuron can connect more than 8 channel analog signals by 12 bit resolution, two digital channel for SPI and I/sup 2/C interface sensor, and more than 20 channel I/O for switch signal, it can also offer two channel analog output for controlling purpose. A set of designed neurons can be connected together by different structure to form robot nervous system, not only for sensing, but for controlling too. Example application on robot perception system and future in progress work are discussed in the end.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124849170","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: 2

Research of the frequency calibration of high shock accelerometer using Hopkinson bar 基于霍普金森杆的高冲击加速度计频率标定研究

2005 IEEE International Conference on Information Acquisition Pub Date : 1900-01-01 DOI: 10.1109/ICIA.2005.1635105

Ping Song, Kejie Li, Husheng Zhang, Zhiqiang Pan

引用次数: 3

Development of a parallel typed robot with a sensorless observer for harbor construction 港口建设用无传感器观测器并联机器人的研制

2005 IEEE International Conference on Information Acquisition Pub Date : 1900-01-01 DOI: 10.1109/ICIA.2005.1635079

Tae Sung Kim, K. Park, Chi-Hyo Kim, Ji Hoon Park, M. K. Lee

引用次数: 3

Automated on-line inspection for glass fiber forming 玻璃纤维成形自动在线检测

2005 IEEE International Conference on Information Acquisition Pub Date : 1900-01-01 DOI: 10.1109/ICIA.2005.1635113

P. P. Lin, Q. Guo

引用次数: 0

A novel two stage image recognition method 一种新的两阶段图像识别方法

2005 IEEE International Conference on Information Acquisition Pub Date : 1900-01-01 DOI: 10.1109/ICIA.2005.1635131

Zhuofu Liu, Zhenpeng Liao, E. Sang

引用次数: 0

Textile defect classification using discriminative wavelet frames 基于判别小波帧的纺织品缺陷分类

2005 IEEE International Conference on Information Acquisition Pub Date : 1900-01-01 DOI: 10.1109/ICIA.2005.1635053

Xuezhi Yang, Jun Gao, G. Pang, N. Yung

引用次数: 10

Physiological system modeling applied to an intelligent wheel chair 智能轮椅的生理系统建模

2005 IEEE International Conference on Information Acquisition Pub Date : 1900-01-01 DOI: 10.1109/ICIA.2005.1635118

Liting Yao

引用次数: 0

An overview of pen computing 笔式计算概述

2005 IEEE International Conference on Information Acquisition Pub Date : 1900-01-01 DOI: 10.1109/ICIA.2005.1635154

Kang Le, Wei Mingxu, Wu Zhong-cheng

引用次数: 2

A novel distributed CMLWLC CFAR detector 一种新型分布式CMLWLC CFAR探测器

2005 IEEE International Conference on Information Acquisition Pub Date : 1900-01-01 DOI: 10.1109/ICIA.2005.1635128

Jin-song Jiang, Hong Sun, Jun Yang, Shouyong Wang

{"title":"A novel distributed CMLWLC CFAR detector","authors":"Jin-song Jiang, Hong Sun, Jun Yang, Shouyong Wang","doi":"10.1109/ICIA.2005.1635128","DOIUrl":"https://doi.org/10.1109/ICIA.2005.1635128","url":null,"abstract":"In the past applications, the centralized CFAR, which used in the multi-sensor information fusion system, brings an overload communication burden, therefore the distributed CFAR detector becomes a developing and important field. In current distributed CFAR detectors, most of them assume that every sensor in the detector have same signal to noise ratio (SNR). In this paper, we study the case that every sensor in the detector have different SNR. Corresponding to this case, a novel distributed adaptive CFAR detector termed as CMLWLC is presented. In the scheme, a local test statistic, which is the ratio of its test sample level and a designated censored mean level (CML) of its reference samples, is calculated by distributed sensors, and then each sensor transmits its local test statistic to the fusion center. At the fusion center, the global decision is made based on weighted linear combining (WLC). Since the weights are adjusted according to different SNR, adaptively, the proposed detector can available in the case that the target echo and noise/clutter have different level for every sensor. Meanwhile, for a Swerling II fluctuating target in Gaussian noise of unknown level, its closed-form expressions of false alarm probability and detection probability are derived. Comparison numerical results show that the CMLWLC detector has good detection performance in both homogeneous and multi-target backgrounds.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123462208","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

The policy gradient estimation of continuous-time hidden Markov decision processes 连续时间隐马尔可夫决策过程策略梯度估计

2005 IEEE International Conference on Information Acquisition Pub Date : 1900-01-01 DOI: 10.1109/ICIA.2005.1635101

Liao Yanjie, Yin Bao-qun, Xi Hongsheng

引用次数: 1