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2018 IEEE International Conference on Electro/Information Technology (EIT)最新文献

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Small Signal Model Averaging of Bi-Directional Converter 双向变换器的小信号模型平均
2018 IEEE International Conference on Electro/Information Technology (EIT) Pub Date : 2018-05-01 DOI: 10.1109/EIT.2018.8500218
Bohyun Ahn, V. Winstead
{"title":"Small Signal Model Averaging of Bi-Directional Converter","authors":"Bohyun Ahn, V. Winstead","doi":"10.1109/EIT.2018.8500218","DOIUrl":"https://doi.org/10.1109/EIT.2018.8500218","url":null,"abstract":"We consider the problem of modeling a bi-directional AC/DC converter using a small signal approach coupled with cycle averaging to simplify the model for use in digitized control. Small power sources (≤ 1000W) tend to have more abrupt transient power flow due to the associated characteristic low inertia. This is prevalent in small wind turbine systems. In an effort to reduce the complexity of system control under fast power transients, we develop an averaged model which allows for more advanced controller design while keeping computations reasonable low. This effort is intended to complement related work in distributed generation power flow measurement and control suitable for emerging smart-grid and micro-grid systems. We also utilize a more accurate inductor model incorporating resistive effects for the converter power coupling device. Simulation results are provided demonstrating the capability of the model.","PeriodicalId":188414,"journal":{"name":"2018 IEEE International Conference on Electro/Information Technology (EIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129455967","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
Wavelet Denoising in Industrial Tomography 工业层析成像中的小波去噪
2018 IEEE International Conference on Electro/Information Technology (EIT) Pub Date : 2018-05-01 DOI: 10.1109/EIT.2018.8500241
Ivan B. Silva, M. R. Petraglia, A. Petraglia
{"title":"Wavelet Denoising in Industrial Tomography","authors":"Ivan B. Silva, M. R. Petraglia, A. Petraglia","doi":"10.1109/EIT.2018.8500241","DOIUrl":"https://doi.org/10.1109/EIT.2018.8500241","url":null,"abstract":"In recent decades computed tomography (CT) has become a well established technique in non-destructive testing (NDT) approaches for accurate views of external and internal component structures. During the acquisition phase, many artifacts may adversely affect the quality of the sample edge estimation and interfere with surface detection. Their accuracies are important for metrology and correct volume visualization. In particular, the artifacts caused by the scatter radiation can be substantially strong, depending on the sample material and the geometry. In this paper we present a study on the use of wavelet denoising techniques to reduce the impact of such artifacts. The acquired images are filtered before the 3D reconstruction process. The reconstructed volumes are analised with the purpose of evaluating the influence of the denoising process, aiming at a better visual quality and more precise surfaces determination.","PeriodicalId":188414,"journal":{"name":"2018 IEEE International Conference on Electro/Information Technology (EIT)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129214949","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
CloneMap: A Clone-Aware Code Inspection Tool in Evolving Software CloneMap:进化软件中的克隆感知代码检查工具
2018 IEEE International Conference on Electro/Information Technology (EIT) Pub Date : 2018-05-01 DOI: 10.1109/EIT.2018.8500143
Alex C. Fish, T. Nguyen, Myoungkyu Song
{"title":"CloneMap: A Clone-Aware Code Inspection Tool in Evolving Software","authors":"Alex C. Fish, T. Nguyen, Myoungkyu Song","doi":"10.1109/EIT.2018.8500143","DOIUrl":"https://doi.org/10.1109/EIT.2018.8500143","url":null,"abstract":"Mining software repositories is a frequent tactic in the evaluation of software in our research. Software modification of large code bases often consists of recurring changes, similar but slightly different changes across multiple locations and revisions. It is a high-effort, time consuming process for developers to find all the relevant locations to maintain such changes among bug-fixes, refactorings, and new code being added to the code base for new features. This process is highly error-prone leading to many mistakes, such as inconsistent or incorrect updates. To address this problem, we present a tool that helps developers ensure correctness of recurring changes to multiple locations in an evolving software. CloneMap is a clone-aware code inspection tool which allows developers to specify the older and newer revisions of a software. It then applies a clone detection technique to (1) mine repositories for extracting differences of recurring changes, (2) visualize the clone evolution, and (3) help developers focus their attention to potential anomalies, such as inconsistent and missing updates as the software evolves from one revision to the next.","PeriodicalId":188414,"journal":{"name":"2018 IEEE International Conference on Electro/Information Technology (EIT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121173809","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
Small-Signal Stability Improvement of a DFIG Integrated Power System Using PSS and SVC 采用PSS和SVC提高DFIG综合电力系统的小信号稳定性
2018 IEEE International Conference on Electro/Information Technology (EIT) Pub Date : 2018-05-01 DOI: 10.1109/EIT.2018.8500222
P. He, S. A. Arefifar, Congshan Li, Yukun Tao, Qu Zhongjie
{"title":"Small-Signal Stability Improvement of a DFIG Integrated Power System Using PSS and SVC","authors":"P. He, S. A. Arefifar, Congshan Li, Yukun Tao, Qu Zhongjie","doi":"10.1109/EIT.2018.8500222","DOIUrl":"https://doi.org/10.1109/EIT.2018.8500222","url":null,"abstract":"The integration of wind power into power systems creates new challenges for power engineers in terms of the systems' small-signal stability. It is therefore necessary to investigate and properly address the small-signal stability issues of the concerned power systems. In this paper, power system stabilizer (PSS) and static VAR compensator (SVC) with damping controller are employed for improving the small-signal stability of power systems with wind generation. By using PSS and SVC, the local and inter-area low frequency oscillations are suppressed. The damping controller of SVC is designed and finally the effectiveness of the proposed approach is verified on a 4-machine 2-area test system.","PeriodicalId":188414,"journal":{"name":"2018 IEEE International Conference on Electro/Information Technology (EIT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116311471","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
Channel Sparsity-Aware Diagonal Structure Volterra Filters for Nonlinear Acoustic Echo Cancellation 非线性声回波消除的通道稀疏感知对角结构Volterra滤波器
2018 IEEE International Conference on Electro/Information Technology (EIT) Pub Date : 2018-05-01 DOI: 10.1109/EIT.2018.8500185
Vinith Vijavarajan, J. Dai, Li Tan, Jean Jiang
{"title":"Channel Sparsity-Aware Diagonal Structure Volterra Filters for Nonlinear Acoustic Echo Cancellation","authors":"Vinith Vijavarajan, J. Dai, Li Tan, Jean Jiang","doi":"10.1109/EIT.2018.8500185","DOIUrl":"https://doi.org/10.1109/EIT.2018.8500185","url":null,"abstract":"In this paper, we propose a channel sparsity-aware recursive least square (RLS) algorithm using sequential update for nonlinear acoustic echo cancellation (NAEC). The acoustic nonlinear echo path is modeled using the diagonal channel structure Volterra filters. The results are compared with the linear and functional-link artificial neural network (FLANN) filters. The improved performance is validated via computer simulations. The nonlinear echo canceller designed using a third-order Volterra filter offers the best echo cancellation performance while the canceller using the sparse third-order Volterra filter provides the compromised performance with a reduced computational load.","PeriodicalId":188414,"journal":{"name":"2018 IEEE International Conference on Electro/Information Technology (EIT)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126230066","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
Identification of Force-Displacement and Force-Current Factors in an Active Magnetic Bearing System 主动磁轴承系统中力-位移和力-电流因素的辨识
2018 IEEE International Conference on Electro/Information Technology (EIT) Pub Date : 2018-05-01 DOI: 10.1109/EIT.2018.8500155
Luis M. Castellanos Molina, A. Bonfitto, A. Tonoli, N. Amati
{"title":"Identification of Force-Displacement and Force-Current Factors in an Active Magnetic Bearing System","authors":"Luis M. Castellanos Molina, A. Bonfitto, A. Tonoli, N. Amati","doi":"10.1109/EIT.2018.8500155","DOIUrl":"https://doi.org/10.1109/EIT.2018.8500155","url":null,"abstract":"Conventional magnetic bearings are usually operated in differential driving mode. This configuration makes it possible to generate both positive and negative forces. The linearization of this force results in force-current and force-displacement factors, which make the control design easier as it can exploit all the tools of linear control theory. However, the control performance can deteriorate when these factors do not closely match the real plant. This paper presents a procedure to identify the force-displacement and force-current factors in an active magnetic bearing (AMB) system using grey-box modeling. These force factors are obtained for different operating points defined by a range of bias currents. Since the AMB has an unstable open loop nature, a position Proportional-Integral-Derivative (PID) controller is implemented to stabilize the plant. Experimental data are collected exciting the system with a persistent disturbance current. The models tuned with the identified parameters were able to describe the plant dynamics with improved accuracy. The set of identified parameters can be exploited in model-based control approaches by varying energy-efficiently the bias current.","PeriodicalId":188414,"journal":{"name":"2018 IEEE International Conference on Electro/Information Technology (EIT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125601192","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: 8
Activity Recognition Based on Thermopile Imaging Array Sensor 基于热电堆成像阵列传感器的活动识别
2018 IEEE International Conference on Electro/Information Technology (EIT) Pub Date : 2018-05-01 DOI: 10.1109/EIT.2018.8500177
Qingshan Liang, Lei Yu, X. Zhai, Zaihong Wan, H. Nie
{"title":"Activity Recognition Based on Thermopile Imaging Array Sensor","authors":"Qingshan Liang, Lei Yu, X. Zhai, Zaihong Wan, H. Nie","doi":"10.1109/EIT.2018.8500177","DOIUrl":"https://doi.org/10.1109/EIT.2018.8500177","url":null,"abstract":"In this paper, a low resolution infrared array sensor is used to develop an activity recognition system for elderly people. The sensor is composed of a $32times 32$ thermopile array with the corresponding $33^{circ}times 33^{circ}$ field of view. The outputs of the sensor are sequential images in which each pixel contains a temperature value. According to the thermopile images, the activity recognition system first determines whether the target is within the tracking area; if the target is within the tracking area, the location of the target will be detected and three kinds of activities will be identified.","PeriodicalId":188414,"journal":{"name":"2018 IEEE International Conference on Electro/Information Technology (EIT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115851206","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: 11
On the Design of EPIDEMIAWeb – A Cloud Based Disease Monitoring System 基于云的疾病监测系统流行病web的设计
2018 IEEE International Conference on Electro/Information Technology (EIT) Pub Date : 2018-05-01 DOI: 10.1109/EIT.2018.8500271
M. Wang, Yi Liu, M. Wimberly
{"title":"On the Design of EPIDEMIAWeb – A Cloud Based Disease Monitoring System","authors":"M. Wang, Yi Liu, M. Wimberly","doi":"10.1109/EIT.2018.8500271","DOIUrl":"https://doi.org/10.1109/EIT.2018.8500271","url":null,"abstract":"The EPIDMIA system has been created to integrate malaria surveillance data with remote sensing environmental data in support of malaria detection and forecasting in the Amhara region of Ethiopia [1]. As the sophisticated forecasting models have been developed, there is a need to transfer the system to the public health sector in Ethiopia. However, the current system requires manual operation on executing subsystems and file transfer. The EPIDEMIAWeb is designed to address this issue by integrating the subsystems in EPIDEMIA into a single top-level interface that automates the workflow of subsystem interaction and data transfer. EPIDEMIAWeb is further deployed in the Cloud environment to provide portability. This paper briefly reviews the EPIDEMIA system, based on which the EPIDEMIAWeb is developed, and presents the method in the design of the EPIDEMIAWeb.","PeriodicalId":188414,"journal":{"name":"2018 IEEE International Conference on Electro/Information Technology (EIT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130472283","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
Arabic Domain-Oriented Sentiment Lexicon Construction Using Latent Dirichlet Allocation 基于潜在Dirichlet分配的阿拉伯语面向领域情感词典构建
2018 IEEE International Conference on Electro/Information Technology (EIT) Pub Date : 2018-05-01 DOI: 10.1109/EIT.2018.8500193
Hasan A. Alshahrani, A. Fong
{"title":"Arabic Domain-Oriented Sentiment Lexicon Construction Using Latent Dirichlet Allocation","authors":"Hasan A. Alshahrani, A. Fong","doi":"10.1109/EIT.2018.8500193","DOIUrl":"https://doi.org/10.1109/EIT.2018.8500193","url":null,"abstract":"Sentiment lexicon is crucial in the process of sentiment analysis. The efficient lexicon is the one that is able to provide the classifier with the right tokens of each class, positive and negative. In this paper, we have built a domain-oriented Arabic sentiment lexicon automatically using a generative statistical model called Latent Dirichlet Allocation (LDA). We tested our lexicon by doing documents classification and compare it with a classification done based on a manual lexicon created in previous study. We achieved good results from both accuracy and recall perspectives.","PeriodicalId":188414,"journal":{"name":"2018 IEEE International Conference on Electro/Information Technology (EIT)","volume":"243 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131536224","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
Distributed Vision-Based Target Tracking Control Using Multiple Mobile Robots 基于分布式视觉的多移动机器人目标跟踪控制
2018 IEEE International Conference on Electro/Information Technology (EIT) Pub Date : 2018-05-01 DOI: 10.1109/EIT.2018.8500184
Anthony Le, Ryan Clue, Jing Wang, I. S. Ahn
{"title":"Distributed Vision-Based Target Tracking Control Using Multiple Mobile Robots","authors":"Anthony Le, Ryan Clue, Jing Wang, I. S. Ahn","doi":"10.1109/EIT.2018.8500184","DOIUrl":"https://doi.org/10.1109/EIT.2018.8500184","url":null,"abstract":"In this paper, a distributed vision-based control system is designed for mobile robots to address the target tracking problem while maintaining the specified formation among robots. The system mainly consists of two modules. One is for target identification and the other is for target tracking control. In the target identification module, the robot is controlled to pivot around its center and perform a survey of the environment using its on-board vision sensor. In the target tracking control module, a leader-follower control strategy is adopted to solve the target tracking and formation control problem of multiple robots. The proposed distributed vision-based control is experimentally tested using three QBot2s from Quanser, Inc. Results validated the proposed design.","PeriodicalId":188414,"journal":{"name":"2018 IEEE International Conference on Electro/Information Technology (EIT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115789473","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
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