2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)最新文献

Mobile Robot Regulation with Position Based Visual Servoing 基于位置视觉伺服的移动机器人调节

2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2018-06-01 DOI: 10.1109/CIVEMSA.2018.8439978

Abdulrahman Al-Shanoon, A. H. Tan, H. Lang, Ying Wang

引用次数: 5

Multivariable Super-Twisting Control in a Vision-based Quadrotor Utilized in Agricultural Application 农业应用中基于视觉的四旋翼多变量超扭控制

2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2018-06-01 DOI: 10.1109/CIVEMSA.2018.8439964

W. Alqaisi, B. Brahmi, J. Ghommam, M. Saad, V. Nerguizian

引用次数: 3

A Hybrid Architecture for Planning and Execution of Multi-Behavior Data Acquisition Missions 多行为数据采集任务规划与执行的混合体系结构

2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2018-06-01 DOI: 10.1109/CIVEMSA.2018.8439996

F. Halal, M. Zaremba

{"title":"A Hybrid Architecture for Planning and Execution of Multi-Behavior Data Acquisition Missions","authors":"F. Halal, M. Zaremba","doi":"10.1109/CIVEMSA.2018.8439996","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2018.8439996","url":null,"abstract":"This paper addresses the issue of designing integrated deliberative-reactive architectures for multi-behavior robot navigation control. The objective of the study is to devise and investigate a methodology for designing robust planning and control systems equipped with a high level of intelligence and capable of navigating a mobile platform, at a high level of performance, in complex environment conditions, where the mobile robot multi-task operation is subject to different behaviors. A formal model of the integrated architecture is presented. Components of the model incorporate hybrid intelligence techniques, allowing the robot to perform different patterns of behavior for different purposes. Metaheuristic procedures enhance the deliberative level producing the optimal global path and the optimal sub-global path. Multiple search methods are proposed to optimize and enable multi-behavior path planning navigation based on waypoints approach. A behavior selector is employed for controlling and executing the appropriate behavior to perform complex tasks along the global path. On the reactive level, fuzzy behavior-based systems are employed to execute different robot tasks including conflicting behaviors. A navigation behavior control module regulates the relation between the navigation levels and as well as executes control on each navigation component. Although designed for the execution of data acquisition missions, the proposed architecture is general enough to show good performance in a variety of complex conditions. Experimental results obtained by using a Khepera robot demonstrate the validity of the presented hybrid architecture in a critical dynamic and complex environment.","PeriodicalId":305399,"journal":{"name":"2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124267287","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: 0

Development of Finger Motion Reconstruction System Based on Leap Motion Controller 基于Leap运动控制器的手指运动重建系统的开发

2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2018-06-01 DOI: 10.1109/CIVEMSA.2018.8439953

Xiaodong Li, Kinto Wan, Rongwei Wen, Yong Hu

{"title":"Development of Finger Motion Reconstruction System Based on Leap Motion Controller","authors":"Xiaodong Li, Kinto Wan, Rongwei Wen, Yong Hu","doi":"10.1109/CIVEMSA.2018.8439953","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2018.8439953","url":null,"abstract":"In order to study the process of finger movement through visualization, this paper presents a Leap Motion Controller-based finger motion reconstruction system. With the Leap Motion Controller, finger motion data is easily generated for the calculation of angle of finger joints. Additionally, the calibration functions for three types of joint are derived to improve the measurement accuracy. The calibrated joint angular data is segmented and normalized in time, and then the finger frames are calculated to reconstruct the finger motion. The experimental results showed that the calibration functions had a clear positive effect on improving the accuracy of joint angle measurement. Besides, the system has been proved to be able to identify the feature points of the motion effectively and achieve the recognition of sub-motions. Consequently, the process of sub-motions was reconstructed by plotting all motion frames on a figure. Through the finger motion reconstruction graph, the kinematic information on multiple joints and at various time points can be obtained visually and directly, which is helpful in understanding of the biomechanics of finger motion.","PeriodicalId":305399,"journal":{"name":"2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"109 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124268132","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

Skill Assessment in Virtual Learning Environments 虚拟学习环境中的技能评估

2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2018-06-01 DOI: 10.1109/CIVEMSA.2018.8439968

N. Nowlan, Peggy Hartwick, A. Arya

引用次数: 7

Reinforcement Learning Solution with Costate Approximation for a Flexible Wing Aircraft 柔性翼飞行器的余态逼近强化学习解

2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2018-06-01 DOI: 10.1109/CIVEMSA.2018.8439951

M. Abouheaf, W. Gueaieb

引用次数: 2

Responding to Illegal, Unreported and Unregulated Fishing with Evolutionary Multi-Objective Optimization 基于进化多目标优化的非法、不报告和无管制捕捞对策

2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2018-06-01 DOI: 10.1109/CIVEMSA.2018.8439981

T. Akinbulire, R. Falcon, R. Abielmona, H. Schwartz

{"title":"Responding to Illegal, Unreported and Unregulated Fishing with Evolutionary Multi-Objective Optimization","authors":"T. Akinbulire, R. Falcon, R. Abielmona, H. Schwartz","doi":"10.1109/CIVEMSA.2018.8439981","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2018.8439981","url":null,"abstract":"Illegal, unreported and unregulated (IUU) fishing is largely responsible for dwindling fish stocks and marine habitat destruction. It is estimated that IUU fishing accounts for about 30% of all fishing activity worldwide, both on open oceans and within national exclusive economic zones. Responding to IUU fishing incidents is of paramount importance to law enforcement and marine environment protection organizations. This paper employs Evolutionary Multi-Objective Optimization (EMOO) to automatically generate a set of promising candidate responses once an IUU fishing event has been identified. Four EMOO algorithms will explore the trade-off among three conflicting decision objectives, namely (1) the proximity to the target (IUU fishing vessel), (2) the total cost of the response for all engaged assets and (3) the probability of confirming the detection of the offending vessel inside the fishing zone, which is important for prosecution purposes. We illustrate the proposed methodology with a simulated scenario along the Canadian Atlantic coast and discuss some of the automatically generated responses that are offered to the decision maker for their consideration. To the best of our knowledge, this is the first time EMOO techniques have been applied to respond to IUU fishing incidents.","PeriodicalId":305399,"journal":{"name":"2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128061125","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

Discriminant Analysis of Industrial Gases for Electronic Nose Applications 电子鼻用工业气体判别分析

2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2018-06-01 DOI: 10.1109/CIVEMSA.2018.8439969

A. Rehman, A. Bermak

{"title":"Discriminant Analysis of Industrial Gases for Electronic Nose Applications","authors":"A. Rehman, A. Bermak","doi":"10.1109/CIVEMSA.2018.8439969","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2018.8439969","url":null,"abstract":"This work is a part of ongoing research project for optimization of the Electronic Nose System (ENS) for its applications related to the identification of industrial gases. Two different experimental datasets of several gases are collected in a laboratory setup using two different sensor arrays. A dataset of six different gases (C3H8, Cl2, CO, CO2, SO2 and NO2 is collected using a commercially available array of seven Figaro gas sensors. Another dataset of three gases (C2H6O, CH4 and CO) is collected using a 4 × 4 tin-oxide sensors array which is built in the In-house foundry. In this paper some of the existing state of the art classification models are tested for the classification of experimentally acquired datasets. The existing classification models are used to analyze the behavior of the data acquired. The models that are tested for identification of gases are Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA), Regularized Discriminant Analysis (RDA), and K-Nearest Neighbor (KNN). Besides testing these classification models, fuzzy C means (FCM) clustering is also tested for the separation of clusters of gases.","PeriodicalId":305399,"journal":{"name":"2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133664198","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: 1

Computer vision-assisted human-in-the-loop measurements: augmenting qualitative by increasing quantitative analytics for CI situational awareness 计算机视觉辅助的人在环测量:通过增加CI态势感知的定量分析来增强定性

2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2018-06-01 DOI: 10.1109/CIVEMSA.2018.8439984

L. Russell, R. Goubran, F. Kwamena

{"title":"Computer vision-assisted human-in-the-loop measurements: augmenting qualitative by increasing quantitative analytics for CI situational awareness","authors":"L. Russell, R. Goubran, F. Kwamena","doi":"10.1109/CIVEMSA.2018.8439984","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2018.8439984","url":null,"abstract":"Many infrastructure problems are reported by the public, yet this can result in human-in-the loop, qualitative measurements and lead to slow response times as quantitative data is needed. Cameras already exist in many settings such as smartphones, or moving objects such as UAV-mounted cameras. Since many critical infrastructure (CI) problems often are first noticed by the general public and then reported, their qualitative descriptions can then be accompanied with quantitative measurements by using the indirect measurement of parameters provided using machine vision. In this paper, the authors propose a framework using Agile IoT to add new modalities to already existing sensors (cameras) such as smartphone devices to determine additional parameters using machine vision. This can result in an increase in situational awareness, and meanwhile, response and repair times can decrease, then the overall infrastructure resilience increases. This has the potential to improve preventative maintenance and increase resilience by increasing situational awareness, so resources can be deployed quickly and efficiently where they are needed. This proposed framework can apply to multiple small infrastructure such as lighting standards, playground structures, signage, access gates and fences, electrical wires, and utility poles and its affixed hardware components. The paper shows a proof-of-concept application of this methodology to the concept of tilt detection, with lean determined from simulated and field images. Quick follow-up to problems at appropriate locations can increase system resilience by quickly enabling solving the problem.","PeriodicalId":305399,"journal":{"name":"2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134447707","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

Simulation of Industrial Bin Picking: An Application of Laser Range Finder Simulation 工业拣仓模拟:激光测距仪模拟的应用

2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2018-06-01 DOI: 10.1109/CIVEMSA.2018.8439959

Shan Fur, A. Verl, A. Pott

引用次数: 4