{"title":"Modeling of power batteries based on subspace identification method","authors":"Xiaowei Du, B. Qi, Minxin Zheng","doi":"10.1109/ICIEA.2012.6360975","DOIUrl":"https://doi.org/10.1109/ICIEA.2012.6360975","url":null,"abstract":"The research on modeling of power battery based on the subspace identification method was conducted. Firstly, an equivalent circuit model of the battery was set up . To identify the parameters of the model, through the acquisition data of the battery's current and voltage, a general state-space model was developed by the subspace identification method. Then by the method of equivalent transformation, the system matrices of the general model were transformed to be identical to the equivalent circuit model structurally. The parameters of the equivalent circuit model were then calculated. Experiments and simulations under the driving conditions were conducted, it is showed that the model indentified by these methods simulates the battery's behavior effectively. And the parameters with physical meaning were acquired.","PeriodicalId":220747,"journal":{"name":"2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115201373","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}
{"title":"Bandwidth allocation using the statistics of arrival (BACSOA): A scheduling algorithm for WiMAX network","authors":"Hann-Tzong Chern, Chun-Chieh Lee, Hong-Kan Chen","doi":"10.1109/ICIEA.2012.6360870","DOIUrl":"https://doi.org/10.1109/ICIEA.2012.6360870","url":null,"abstract":"Five types of service flows are defined in the standard of IEEE 802.16. Each service flow has its own type of quality of service (QoS) requirement. Some scheduling algorithm is needed to satisfy the QoS requirement of each class. Traditional base station (BS) allocates bandwidth according to the request of user. However, the request may not equal to the real requirement in some situation. Thus, the assignment of bandwidth may be far from the real requirement. When the load is heavy, this may cause the time delay of some queue too large and create serious problem for real time traffic. Also, this may make the CAC mechanism denies any service although some old grants are never used completely. A method is proposed to solve this problem in this paper. In the beginning, we will use the traditional “request & grant” mechanism. However, we will assume some users may not estimate their request correctly and the system may not operate efficiently. To correct it, the mean μ and standard deviation σ of the arrival rate for ertPS and rtPS traffic will be estimated during the operation of system. The mean μ represents the average requirement and the standard deviation σ includes the possibly temporary requirement of this queue. Therefore, the grant will be replaced and μ + kσ will be used as the assignment of these traffics. Larger k gives real-time traffic more chance to send all its data in the queue. Comparing with traditional weighted round robin (WRR), we found this new protocol can provide higher throughput and lower delay when the request is not equal to the real requirement of the traffic.","PeriodicalId":220747,"journal":{"name":"2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128771331","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}
{"title":"A novel mobile robot localization approach based on a model switching feature extraction","authors":"Sen Zhang, Jun Gong, Kim Kheng Lee","doi":"10.1109/ICIEA.2012.6360919","DOIUrl":"https://doi.org/10.1109/ICIEA.2012.6360919","url":null,"abstract":"This paper studies natural feature based localization for mobile robot navigation in semi-structured outdoor environments using a laser range sensor. We propose an algorithm for feature extraction by using switching models between line model and circle model. In order to avoid the estimation error caused by the linearization in the extended Kalman filtering (EKF), a particle filter is applied to realize the prediction and validation process by integrating data from both the laser range sensor and encoders in outdoor environments. The proposed feature extraction and localization algorithms are verified in a artificial simulation environment. The results show that the proposed algorithms perform very well in an semi-structured outdoor environment.","PeriodicalId":220747,"journal":{"name":"2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124584294","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}
{"title":"Robust speed tracking control of synchronous motors using immersion and invariance","authors":"A. Donaire, T. Pérez, Y. R. Teo","doi":"10.1109/ICIEA.2012.6360958","DOIUrl":"https://doi.org/10.1109/ICIEA.2012.6360958","url":null,"abstract":"This paper presents a novel control strategy for velocity tracking of Permanent Magnet Synchronous Machines (PMSM). The model of the machine is considered within the port-Hamiltonian framework and a control is designed using concepts of immersion and invariance (I&I) recently developed in the literature. The proposed controller ensures internal stability and output regulation, and it forces integral action on non-passive outputs.","PeriodicalId":220747,"journal":{"name":"2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122142095","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}
{"title":"A crowd flow estimation method based on dynamic texture and GRNN","authors":"Haibin Yu, Zhiwei He, Yuanyuan Liu, Li Zhang","doi":"10.1109/ICIEA.2012.6360701","DOIUrl":"https://doi.org/10.1109/ICIEA.2012.6360701","url":null,"abstract":"To overcome the deficiencies of the existing methods used in the estimation of the crowd flow with high-density and multi-motion direction, a crowd flow estimation method based on dynamic texture and generalized regression neural network (GRNN) is presented in this paper. The method firstly extracts the dynamic texture features through optical flow, performs the moving crowd segmentation by the dynamic texture features and level set algorithm to achieve ROIs, and then the regression analysis based on GRNN between ROI features and crowd flow is adopted to achieve the real-time crowd flow estimation results in the crowd scene. Experimental results show that the proposed crowd flow estimation algorithm is more suitable than the existing methods to the crowd flow estimation applications with low complexity, high accuracy and high real-time requirements.","PeriodicalId":220747,"journal":{"name":"2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"316 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115148179","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}
S. Wang, Yi-Hua Liu, Shao-Shan Chiang, Yi-Yang Chen, Chun-Wei Huang
{"title":"High-power-factor electronic ballast for T5 fluorescent lamp with multiple dimming interfaces","authors":"S. Wang, Yi-Hua Liu, Shao-Shan Chiang, Yi-Yang Chen, Chun-Wei Huang","doi":"10.1109/ICIEA.2012.6360804","DOIUrl":"https://doi.org/10.1109/ICIEA.2012.6360804","url":null,"abstract":"Owing to the perception of high-efficiency and comfortable lighting systems possess better energy-saving effect as well as the positive impact on the health and performance of people, the demand of dimmable electronic ballasts for fluorescent lamps is increasing rapidly. A high-power-factor electronic ballast with varied dimming interfaces for T5 fluorescent lamps is devised in this paper. With functionality of wide dimmable range, the proposed ballast provides flexible and friendly dimming mechanism for application in modern lighting system. The developed ballast consists of an EMI filter, an active power factor correction (PFC), an inverter power stage with a resonant tank, and a fully isolated dimmer with different control interfaces. By means of wired or wireless transmission protocol, the industrially standard 0 to 10 Vdc control signals are generated to tune the lamp luminance. Performance and effectiveness of the proposed dimmable ballast on T5 28W lamps are demonstrated via a prototype experimental setup.","PeriodicalId":220747,"journal":{"name":"2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124397383","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}
{"title":"Research on SAR images recognition based on ART2 neural network","authors":"Xiaoming Ye, Wei Gao, Yi Wang, Xiaoguang Hu","doi":"10.1109/ICIEA.2012.6361036","DOIUrl":"https://doi.org/10.1109/ICIEA.2012.6361036","url":null,"abstract":"ART2 is a kind of self-organizing neural network which is based on adaptive resonance theory. It carries out the recognition by using competive learning and self-steady mechanism, and can learn by itself in dynamic environment with noise and without supervision. Its learning process can recognize learned models fastly and be adapted to new unknown objects rapidly. SAR ATR (Synthetic Aperture Radar Automatic Target Recognition) approach based on PCA and ART2 neural network is proposed in this paper. It takes the principal components as sample features, and then ART2 neural network is used to recognize SAR images. Experimental results with MSTAR SAR data sets show a better performance of recognition and generalization.","PeriodicalId":220747,"journal":{"name":"2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114667629","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}
Haibo Guo, Xibin Cao, Y. Xing, Feng Wang, Shijie Zhang
{"title":"Adaptive synchronization of networked Euler-Lagrange systems under directed graph","authors":"Haibo Guo, Xibin Cao, Y. Xing, Feng Wang, Shijie Zhang","doi":"10.1109/ICIEA.2012.6360907","DOIUrl":"https://doi.org/10.1109/ICIEA.2012.6360907","url":null,"abstract":"The leaderless synchronization of multiple agents modeled by nonlinear Euler-Lagrange equation is investigated under limited directed communication. An adaptive cooperative control law is proposed to synchronize the whole group with parametric uncertainties. It is proved that synchronization can be achieved if and only if the communication graph has a directed spanning tree. Lyapunov theory and eigenvalue-based analysis play key roles in the stability analysis. Robustness to the switching of the communication topology is also discussed. Simulation in the context of attitude coordination of formation flying spacecraft is further conducted to illustrate the effectiveness.","PeriodicalId":220747,"journal":{"name":"2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116922267","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}
Iker Pastor-López, I. Santos, Aitor Santamaría-Ibirika, Mikel Salazar, Jorge de-la-Peña-Sordo, P. G. Bringas
{"title":"Machine-learning-based surface defect detection and categorisation in high-precision foundry","authors":"Iker Pastor-López, I. Santos, Aitor Santamaría-Ibirika, Mikel Salazar, Jorge de-la-Peña-Sordo, P. G. Bringas","doi":"10.1109/ICIEA.2012.6360934","DOIUrl":"https://doi.org/10.1109/ICIEA.2012.6360934","url":null,"abstract":"Foundry is an important industry that supplies key castings to other industries where they are critical. Hence, foundry castings are subject to very strict safety controls to assure the quality of the manufactured castings. One of the type of flaws that may appear in the castings are defects on the surface; in particular, our work focuses in inclusions, cold laps and misruns. We propose a new approach that detects imperfections on the surface using a segmentation method that marks the regions of the casting that may be affected by some of these defects and, then, applies machine-learning techniques to classify the regions in correct or in the different types of faults. We show that this method obtains high precision rates.","PeriodicalId":220747,"journal":{"name":"2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127088120","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}
{"title":"Health news feed: Identifying personally relevant health-related URLs in tweets","authors":"Robert Steele, K. Min","doi":"10.1109/ICIEA.2012.6360778","DOIUrl":"https://doi.org/10.1109/ICIEA.2012.6360778","url":null,"abstract":"A common use of micro-blogging systems, such as Twitter, is to `tweet' or `re-tweet' URLs of the latest news articles. The challenge is that with the large number of such micro-blog posts, it is difficult to find and filter to just the most relevant news for an individual. In this paper, we propose and detail the health news feed system which utilises a three-stage filtering and categorisation process with three types of knowledge resources using natural language processing (NLP) technologies for filtering and extracting personally-relevant health-related news articles referred to in tweets. The three stages are term-based filtering, content filtering, and categorization.","PeriodicalId":220747,"journal":{"name":"2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)","volume":"53 87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127228196","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}