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2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)最新文献

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Predictive current control of multi-leg neutral-point piloted converter 多支路中性点导频变换器的预测电流控制
2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2017-06-01 DOI: 10.1109/ICIEA.2017.8283119
Samkruth Aluru, V. Yaramasu, José R. Rodríguez
{"title":"Predictive current control of multi-leg neutral-point piloted converter","authors":"Samkruth Aluru, V. Yaramasu, José R. Rodríguez","doi":"10.1109/ICIEA.2017.8283119","DOIUrl":"https://doi.org/10.1109/ICIEA.2017.8283119","url":null,"abstract":"The neutral-point piloted (NPP) converter with bidirectional switches produces less switching losses than the neutral-point clamped converter while preserving best qualities of multilevel operation. This paper proposes NPP converter for multiphase power conversion applications. The discrete-time modeling of NPP converter load currents and DC capacitors voltage is presented in terms of switching states. A generalized procedure for the predictive current control (PCC) of two-leg, three-leg, four-leg and five-leg NPP converters is presented. The simulation results validate that the PCC scheme forces the load currents to track their reference currents with less steady-state error and fast transient response while maintaining the DC capacitors voltage balanced during all operating conditions.","PeriodicalId":443463,"journal":{"name":"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"220 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123064487","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
New method for enhanced driving of entity generation in RFLP structured product model RFLP结构化产品模型中增强实体生成驱动的新方法
2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2017-06-01 DOI: 10.1109/ICIEA.2017.8282903
L. Horváth
{"title":"New method for enhanced driving of entity generation in RFLP structured product model","authors":"L. Horváth","doi":"10.1109/ICIEA.2017.8282903","DOIUrl":"https://doi.org/10.1109/ICIEA.2017.8282903","url":null,"abstract":"Recent challenge in industrial engineering is effective management and communication of product and related information in a consistent system which effectively supports response to changed requirements and propagation of changes throughout extensive engineering structure presentations. At the same time, multidisciplinary products demanded extension of the conventional physical level modeling in the direction of higher abstraction during the past decade. The Laboratory of Intelligent Engineering Systems at the Óbuda University joined to these efforts and developed methods which are promising at definition and representation of organized driving knowledge for generation of elements, components, and features in requirements, functional, logical, and physical (RFLP) structured generic model of arbitrary engineering structure. This paper introduces new methods, as well as structures and representations to establish driving chains which provide new capabilities for connection of company intelligent property entities with generation processes of elements, components, and features using the new driving content structures.","PeriodicalId":443463,"journal":{"name":"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116841085","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
Positive control of a minimal model of tumor growth with bevacizumab treatment 贝伐单抗治疗对肿瘤生长的最小模型的阳性控制
2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2017-06-01 DOI: 10.1109/ICIEA.2017.8283181
D. Drexler, Johanna Sápi, L. Kovács
{"title":"Positive control of a minimal model of tumor growth with bevacizumab treatment","authors":"D. Drexler, Johanna Sápi, L. Kovács","doi":"10.1109/ICIEA.2017.8283181","DOIUrl":"https://doi.org/10.1109/ICIEA.2017.8283181","url":null,"abstract":"Application of model-based control strategies for physiological control problems, like tumor therapy, may greatly improve the efficiency of clinical treatments. Our aim is to design a positive path tracking controller for a minimal model of tumor growth under angiogenic inhibition with bevacizumab treatment. We extend the dynamics of the system to ensure the positivity of the input, and design path tracking controller after exact linearization is carried out for the extended system. We carry out simulations for different reference signals for the path tracking controllers, and confirm that the tumor can be eliminated using bevacizumab therapy with physiologically feasible input signals. The resulting inputs are positive, and their maximal values are in physiologically feasible regions, thus the results may be applicable in clinical practice.","PeriodicalId":443463,"journal":{"name":"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"29 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120811167","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
Pervasive system architecture for optimal HVAC control in smart buildings 智能建筑中最优暖通空调控制的普适系统架构
2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2017-06-01 DOI: 10.1109/ICIEA.2017.8282814
G. Stamatescu, Iulia Stamatescu, N. Arghira, I. Fagarasan
{"title":"Pervasive system architecture for optimal HVAC control in smart buildings","authors":"G. Stamatescu, Iulia Stamatescu, N. Arghira, I. Fagarasan","doi":"10.1109/ICIEA.2017.8282814","DOIUrl":"https://doi.org/10.1109/ICIEA.2017.8282814","url":null,"abstract":"Buildings, as hallmark of urbanisation and test-beds for intelligent energy solutions, offer significant potential for energy savings through current state-of-the-art networked monitoring and control systems. The paper discusses current approaches and challenges in designing and implementing optimal control strategies for smart buildings over such networks. This targets also the modelling, controller design and evaluation stages as well as supporting hardware-software infrastructure for realistic adoption scenarios. Final goal is to achieve increased energy efficiency under user comfort constraints, while integrating various subsystems to operate together with both proprietary and open-source resources and tools. The proposed system architecture enables robust sensing, computing and actuation while accounting for future integration with higher level systems. These relate mainly to electrical smart grids over pervasive communication networks in future cities. Special consideration is given to allowing the collection of user feedback, incorporated into the control decision as means to accommodate the balance between operational and comfort constraints. A data-driven modeling case study is presented on measurements collected from a new building in our campus.","PeriodicalId":443463,"journal":{"name":"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120979910","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
Protecting data from malware threats using machine learning technique 使用机器学习技术保护数据免受恶意软件威胁
2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2017-06-01 DOI: 10.1109/ICIEA.2017.8283111
Mozammel Chowdhury, Azizur Rahman, R. Islam
{"title":"Protecting data from malware threats using machine learning technique","authors":"Mozammel Chowdhury, Azizur Rahman, R. Islam","doi":"10.1109/ICIEA.2017.8283111","DOIUrl":"https://doi.org/10.1109/ICIEA.2017.8283111","url":null,"abstract":"Cyber attacks against sensitive data have become as serious threats all over the world due to the rising applications of computer and information technology. New malware or malicious programs are released everyday by cyber criminals through the Internet in an attempt to steal or destroy important data. Hence, research on protecting data receives tremendous interest in the cyber community. In order to cope with new variants of malicious software, machine learning techniques can be used for accurate classification and detection. This paper proposes an efficient scheme for malware detection for protecting sensitive data from malicious threats using data mining and machine learning techniques. Experimental results shows that the proposed approach gives better performance compared to other similar methods.","PeriodicalId":443463,"journal":{"name":"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127060984","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: 14
Intelligent book positioning system for library based on RFID 基于RFID的图书馆图书智能定位系统
2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2017-06-01 DOI: 10.1109/ICIEA.2017.8282935
He He, Tao Liu, Ershen Wang
{"title":"Intelligent book positioning system for library based on RFID","authors":"He He, Tao Liu, Ershen Wang","doi":"10.1109/ICIEA.2017.8282935","DOIUrl":"https://doi.org/10.1109/ICIEA.2017.8282935","url":null,"abstract":"In order to solve the problem that it is inconvenient to find books in the traditional library, a kind of book positioning system using RFID technology is designed to achieve fast search books in the library. The JRM2030 RFID reader module is used to locate and search books with electronic labels on the bookshelves. The system software is designed by using LABVIEW. And the book positioning system can search books by typing in the title of them, and get the distance between the tag and the reader referring to the strength of wireless signal. In this paper, the hardware and software of the system are designed in detail, and the experiment results are given. The results show that the system can quickly find the books that bookworms hid, and the books that are not timely put back on the shelves. The reader can also quickly find the books in the library. Therefore, to a certain extent, it can improve the efficiency of the staff in books management for library.","PeriodicalId":443463,"journal":{"name":"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127191792","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
Lyapunov-based proportional-integral controller design with guaranteed region of convergence for dc-dc power converters 基于lyapunov的dc-dc功率变换器保收敛区域比例积分控制器设计
2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2017-06-01 DOI: 10.1109/ICIEA.2017.8283066
M. Vatani, M. Hovd
{"title":"Lyapunov-based proportional-integral controller design with guaranteed region of convergence for dc-dc power converters","authors":"M. Vatani, M. Hovd","doi":"10.1109/ICIEA.2017.8283066","DOIUrl":"https://doi.org/10.1109/ICIEA.2017.8283066","url":null,"abstract":"In this paper, Lyapunov stability of dc-dc power converters controlled with proportional-integral (PI) controllers is investigated. The class of dc-dc converters with discrete-time bilinear averaged dynamic model is considered. An integral action on the output voltage is introduced for robust output regulation in case of model parameter uncertainties and external disturbances. An algorithmic method, using sum of squares programming, is introduced to calculate a candidate Lyapunov function, and the coefficients of P and PI controllers are calculated to guarantee a decrease in the Lyapunov function in each time step while input constraints are fulfilled. The controller design method is iterated in order to improve the region of convergence of the state trajectories. The resulting controller designs are evaluated through simulations of detailed switching models for a boost and a cuk converter.","PeriodicalId":443463,"journal":{"name":"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126188862","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
Dual neural networks for kinect camera calibration 双神经网络kinect相机校准
2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2017-06-01 DOI: 10.1109/ICIEA.2017.8283077
J. Xin, Nan Cheng, Yuan-yuan Wang, Ding Liu
{"title":"Dual neural networks for kinect camera calibration","authors":"J. Xin, Nan Cheng, Yuan-yuan Wang, Ding Liu","doi":"10.1109/ICIEA.2017.8283077","DOIUrl":"https://doi.org/10.1109/ICIEA.2017.8283077","url":null,"abstract":"Kinect camera, also called as RGB-D sensors, has been widely used in robot vision control system. However, building a complex Kinect camera distortion model is still a challenging issue. In this paper, a Dual Neural Networks for Kinect camera calibration method, according to the characteristics of Kinect camera and the imaging law of point moving along the different axis in the camera coordinate, is proposed. Firstly, IR image, instead of the depth image widely used in the existing calibration method of the Kinect camera, is used to reduce the effect of noise. Then, problem of the camera calibration is considered as nonlinear mapping from 2D image coordinates to the 3D world coordinates and two different neural networks is designed respectively to realize the nonlinear mapping. Experimental results demonstrate that the proposed calibration method could provide a more reliable and accurate reconstruction results compared with popular joint calibration methods.","PeriodicalId":443463,"journal":{"name":"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125259745","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
Supervised adapted factor analysis algorithm for multimodal data classification 多模态数据分类的监督自适应因子分析算法
2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2017-06-01 DOI: 10.1109/ICIEA.2017.8283147
Ping Wang, Hong Zhang
{"title":"Supervised adapted factor analysis algorithm for multimodal data classification","authors":"Ping Wang, Hong Zhang","doi":"10.1109/ICIEA.2017.8283147","DOIUrl":"https://doi.org/10.1109/ICIEA.2017.8283147","url":null,"abstract":"In recent years, multimodal data processing has enjoyed an increasing attention. Multimodal document means different modal multimedia data representing the same semantics. In this paper, the problem of multimodal document classification is studied. As the text features have more obvious advantages than the image features over the classification problem, on the basis of factor analysis, the paper proposes a supervised algorithm which projects image space into text space and then learns a linear classifier for classification in the text space. Encouraging experiment results on three benchmark datasets demonstrate the superiority and effectiveness of proposed methods over most existing algorithms.","PeriodicalId":443463,"journal":{"name":"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125364830","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
New design of a three-terminal memristor emulator 三端忆阻器仿真器的新设计
2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2017-06-01 DOI: 10.1109/ICIEA.2017.8282951
Zhi Zhou, Dongsheng Yu, Xiaoping Ma, He Cheng, Ciyan Zheng
{"title":"New design of a three-terminal memristor emulator","authors":"Zhi Zhou, Dongsheng Yu, Xiaoping Ma, He Cheng, Ciyan Zheng","doi":"10.1109/ICIEA.2017.8282951","DOIUrl":"https://doi.org/10.1109/ICIEA.2017.8282951","url":null,"abstract":"An emulator circuit is newly designed in this paper by making use of common off-the-shelf active devices for mimicking the dynamic behaviors of the three-terminal memristors (3T-MRs). The theoretical calculation shows that the equivalent memductance of the 3T-MRs emulator can be flexibly controlled by imposing excitation voltage with different amplitude, frequency and duty cycle on the third terminal. For the purpose of testing the controllability and emulation performance of the proposed emulator, simulation investigation is carried out based on PSpice software. The simulation results show good agreement with theoretical analysis, which confirms that the memductance of this 3T-MRs emulator can be conveniently controlled and can be utilized for further investigating the dynamic behaviors of 3T-MRs.","PeriodicalId":443463,"journal":{"name":"2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122579140","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
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