自主智能系统(英文)最新文献_第9页

Efficient deployment of connected sensing devices using circle packing algorithms 使用圆形封装算法的连接传感设备的有效部署

自主智能系统(英文) Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547023

R. Ramadan, S. Abdel-Mageid

引用次数: 8

A software framework for multi-agent control of multiple autonomous underwater vehicles for underwater mine counter-measures 针对水雷对抗的多自主水下航行器多智能体控制软件框架

自主智能系统(英文) Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547032

Howard Li, Alexandru Popa, Carl Thibault, M. Trentini, M. Seto

引用次数: 18

Sensorless control for synchronous motors 同步电机无传感器控制

自主智能系统(英文) Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547028

L. Veselý, P. Zbranek

引用次数: 1

A decision model of stroke patient rehabilitation with augmented reality-based games 基于增强现实游戏的脑卒中患者康复决策模型

自主智能系统(英文) Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547014

A. Alamri, Heung-Nam Kim, Abdulmotaleb El Saddik

引用次数: 8

Predicting the time to localized muscle fatigue using ANN and evolved sEMG feature 利用神经网络和演化表面肌电信号特征预测局部肌肉疲劳时间

自主智能系统(英文) Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547025

M. Al-Mulla, F. Sepulveda

引用次数: 11

Evaluating approaches to adaptive landscape visualization construction 适应性景观可视化构建的评价方法

自主智能系统(英文) Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547037

Robert Collier, M. Wineberg

引用次数: 0

Reallocations in teams of UAVs using dynamic programming and mixed initiative interactions 基于动态规划和混合主动交互的无人机团队再分配

自主智能系统(英文) Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547022

E. Pereira, J. Sousa

引用次数: 2

Segmentation of fingerprint image by using polarimetric feature 基于偏振特征的指纹图像分割

自主智能系统(英文) Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547039

Chao Chen, D. Zhang, Lei Zhang, Yongqiang Zhao

{"title":"Segmentation of fingerprint image by using polarimetric feature","authors":"Chao Chen, D. Zhang, Lei Zhang, Yongqiang Zhao","doi":"10.1109/AIS.2010.5547039","DOIUrl":"https://doi.org/10.1109/AIS.2010.5547039","url":null,"abstract":"Segmentation of fingerprint image is the first step of fingerprint recognition, and it plays an essential role which helps to preserve genuine and reduce false minutiae and further aids the performance of Automatic Fingerprint Identification System (AFIS). The problem of segmentation has been thoroughly studied but never been completely solved. During this paper, we propose a novel representation of fingerprint image with the added polari-metric information which is captured by Stokes Imaging System, and followed by a simple yet efficient segmentation of fingerprint image based on the polarimetric variance (Polvar). Polarimetric characteristic is another distinguishable feature beside intense that reflecting light carries, and it provides potential way to enhance the contrast between background and foreground, and between ridges and valleys as well. And therefore, there is a possibility to achieve a satisfactory segmentation results. Non-overlapping block Polvar feature is utilized to accelerate computation, and moreover the segmentation results that are based on other common used features are compared, that is block energy, block coherence, block cluster degree. Experimental results show that our proposed novel method is much efficient than the other features and simultaneously achieve higher accuracy especially it well segments the case of remaining ridges from previously scanned finger. Segmentation results are evaluated both visually by human inspire and quantitatively.","PeriodicalId":71187,"journal":{"name":"自主智能系统(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83033634","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: 4

Using a randomized path planner to generate 3D task demonstrations of robot operations 使用随机路径规划器生成机器人操作的3D任务演示

自主智能系统(英文) Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547018

K. Belghith, F. Kabanza, L. Hartman

{"title":"Using a randomized path planner to generate 3D task demonstrations of robot operations","authors":"K. Belghith, F. Kabanza, L. Hartman","doi":"10.1109/AIS.2010.5547018","DOIUrl":"https://doi.org/10.1109/AIS.2010.5547018","url":null,"abstract":"In this paper we describe a new randomized path-planning approach presenting two novel features that are useful in various complex real-world applications. First, it handles zones in the robot workspace with different degrees of desirability. Given the random quality of paths that are calculated by traditional randomized approaches, this provides a mean to specify a sampling strategy that controls the search process to generate better paths by simply annotating regions in the free workspace with degrees of desirability. Second, our approach can efficiently re-compute paths in dynamic environments where obstacles and zones can change shape or move concurrently with the robot. The new path planner is implemented within an automated planning application for generating 3D tasks demonstrations involving a teleoperated robot arm on the International Space Station (ISS). A typical task demonstration involves moving the robot arm from one configuration to another. Our objective is to automatically plan the position of cameras to film the arm in a manner that conveys the best awareness of the robot trajectory to the user. For a given task, the robot trajectory is generated using the new path planner. The latter not only computes collision free paths but also takes into account the limited direct view of the ISS, the lighting conditions and other safety constraints about operating the robot. A suitable camera planning system is then used to find the best sequence of camera shots following the robot on its path.","PeriodicalId":71187,"journal":{"name":"自主智能系统(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78740193","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: 4

Handwriting automatic classification: Application to ancient Greek inscriptions 手写自动分类:古希腊铭文的应用

自主智能系统(英文) Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547045

C. Papaodysseus, P. Rousopoulos, Dimitris Arabadjis, Fivi Panopoulou, M. Panagopoulos

{"title":"Handwriting automatic classification: Application to ancient Greek inscriptions","authors":"C. Papaodysseus, P. Rousopoulos, Dimitris Arabadjis, Fivi Panopoulou, M. Panagopoulos","doi":"10.1109/AIS.2010.5547045","DOIUrl":"https://doi.org/10.1109/AIS.2010.5547045","url":null,"abstract":"In this paper a new approach is presented for automatic writer identification. The approach is applied to the identification of the writer of ancient Greek inscriptions that in turn may offer precise and objective dating of the inscriptions content. Such a dating is crucial for the correct history writing. The methodology is based on the idea of creating an ideal representative of each alphabet symbol in each inscription, via proper fitting of all realizations of the specific symbol in this inscription. Next, geometric features for the ideal representative for each alphabet symbol are defined and extracted and corresponding statistical processing follows based on the computation of the mean value and variance of these characteristics. The decision for writer identification is made via pair-wise, feature based comparisons of the ideal representatives of the inscriptions. Each comparison is implemented by means of multiple statistical tests and an introduced maximum likelihood approach. The system was applied to 33 Athenian inscriptions of classical era which were correctly attributed to 8 different hands, namely with 100% success rate.","PeriodicalId":71187,"journal":{"name":"自主智能系统(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79892656","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