2015 IEEE International Conference on Industrial Technology (ICIT)最新文献_第8页

Real-time control of electric vehicles to smooth the PV production fluctuations in a distribution network 实时控制电动汽车以平滑配电网中光伏产量波动

2015 IEEE International Conference on Industrial Technology (ICIT) Pub Date : 2015-03-17 DOI: 10.1109/ICIT.2015.7125505

V. Nguyen, S. Bacha, Ngoc-An Luu

引用次数: 0

Hardware/software co-design of video processing applications on a reconfigurable platform 可重构平台上视频处理应用的软硬件协同设计

2015 IEEE International Conference on Industrial Technology (ICIT) Pub Date : 2015-03-17 DOI: 10.1109/ICIT.2015.7125341

Javier Cerezuela-Mora, Elisa Calvo-Gallego, S. Sánchez-Solano

引用次数: 6

H∞ simultaneous admittance and tracking current controller of three-phase active grid front-ends 三相有源电网前端H∞同步导纳与跟踪电流控制器

2015 IEEE International Conference on Industrial Technology (ICIT) Pub Date : 2015-03-17 DOI: 10.1109/ICIT.2015.7125405

Jorge Perez, S. Cóbreces, Francisco Javier Rodríguez Sánchez, R. Griñó

引用次数: 2

Application of flower pollination algorithm for placement of distribution transformers in a low-voltage grid 传粉算法在低压电网配电变压器布置中的应用

2015 IEEE International Conference on Industrial Technology (ICIT) Pub Date : 2015-03-17 DOI: 10.1109/ICIT.2015.7125274

Shyh-Jier Huang, P. Gu, Wei-Fu Su, Xian-Zong Liu, Te-Yu Tai

引用次数: 17

Towards the automated segmentation of epicardial and mediastinal fats: A multi-manufacturer approach using intersubject registration and random forest 心外膜和纵隔脂肪的自动分割:使用主体间注册和随机森林的多制造商方法

2015 IEEE International Conference on Industrial Technology (ICIT) Pub Date : 2015-03-17 DOI: 10.1109/ICIT.2015.7125355

É. O. Rodrigues, A. Conci, F. Morais, María G. Pérez

{"title":"Towards the automated segmentation of epicardial and mediastinal fats: A multi-manufacturer approach using intersubject registration and random forest","authors":"É. O. Rodrigues, A. Conci, F. Morais, María G. Pérez","doi":"10.1109/ICIT.2015.7125355","DOIUrl":"https://doi.org/10.1109/ICIT.2015.7125355","url":null,"abstract":"The amount of fat on the surroundings of the heart is correlated to several health risk factors such as carotid stiffness, coronary artery calcification, atrial fibrillation, atherosclerosis, cancer incidence and others. Furthermore, the cardiac fat varies unrelated to the overall fat of the subject, and, therefore, it reinforces the quantitative analysis of these adipose tissues as being essential. Clinical decision support systems are computer programs capable of evaluating information and providing a corresponding diagnosis or data to complement the physicists' analyses. The aim of this work is to propose a method capable of fully automatically segmenting two types of cardiac adipose tissues that stand apart from each other by the pericardium on CT images obtained by the standard acquisition protocol used for coronary calcium scoring. Much effort was devoted to promote minimal user intervention and ease of reproducibility. The methodology proposed in this work consists of a registration, which will roughly adjust input images to a standard, an extraction of features related to pixels and their surrounding area and a segmentation step based on data mining classification algorithms that define if an incoming pixel is of a certain type. Experimentations showed that the achieved mean accuracy for the epicardial and mediastinal fats was 98.4% with a mean true positive rate of 96.2%. In average, the Dice similarity index was equal to 96.8%.","PeriodicalId":156295,"journal":{"name":"2015 IEEE International Conference on Industrial Technology (ICIT)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114383261","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: 16

Robust control for three-phase grid connected power converters via second order sliding mode 基于二阶滑模的三相并网变流器鲁棒控制

2015 IEEE International Conference on Industrial Technology (ICIT) Pub Date : 2015-03-17 DOI: 10.1109/ICIT.2015.7125252

Jianxing Liu, S. Vazquez, Huijun Gao, L. Franquelo

引用次数: 8

Electrochemical model based fault diagnosis of a lithium ion battery using multiple model adaptive estimation approach 基于电化学模型的锂离子电池多模型自适应故障诊断方法

2015 IEEE International Conference on Industrial Technology (ICIT) Pub Date : 2015-03-17 DOI: 10.1109/ICIT.2015.7125101

Md. Ashiqur Rahman, S. Anwar, A. Izadian

引用次数: 13

Investigation on model predictive control of a five-phase permanent magnet synchronous machine under voltage and current limits 限压限流条件下五相永磁同步电机模型预测控制研究

2015 IEEE International Conference on Industrial Technology (ICIT) Pub Date : 2015-03-17 DOI: 10.1109/ICIT.2015.7125434

Xavier Kestelyn, O. Gomozov, Jérôme Buire, F. Colas, N. Nguyen, É. Semail

引用次数: 7

Trajectory planning toward the waypoint for mobile robot 移动机器人向航路点的轨迹规划

2015 IEEE International Conference on Industrial Technology (ICIT) Pub Date : 2015-03-17 DOI: 10.1109/ICIT.2015.7125154

Jinhong Noh, Jaehyung Park, Haiyun Wang, Jonghun Park, Seongryong Chang, U. Huh

引用次数: 1

Multiphysics modelling of a resistive polymeric sensor for VOC 一种用于VOC的电阻性聚合物传感器的多物理场建模

2015 IEEE International Conference on Industrial Technology (ICIT) Pub Date : 2015-03-17 DOI: 10.1109/ICIT.2015.7125597

J. García-Guzmán, Adriana Mendoza-Gutierrez, Jorge A. Velez-Enriquez, A. Ramirez-Ramirez, F. Villa-López

{"title":"Multiphysics modelling of a resistive polymeric sensor for VOC","authors":"J. García-Guzmán, Adriana Mendoza-Gutierrez, Jorge A. Velez-Enriquez, A. Ramirez-Ramirez, F. Villa-López","doi":"10.1109/ICIT.2015.7125597","DOIUrl":"https://doi.org/10.1109/ICIT.2015.7125597","url":null,"abstract":"A smart ASIC chip was previously designed, fabricated and tested for monitoring of volatile organic compounds (VOC), with both signal processing electronics and resistive sensors integrated within a single CMOS device. The ASIC has been successfully tested using different types of sensitive materials, including carbon black-polymer composites and bi-functional linker molecules with gold nanoparticles. Different geometries and configurations have been designed for each generation of the device. In the interest of getting a better understanding of the sensor behaviour, which is affected by a number of physical phenomena, namely temperature, humidity, chemical properties of the sensing materials, and geometry of the electrodes, among others, a novel multiphysics model of the device has been developed and simulation results are reported in this paper. The model explores coupled electrical and thermal behaviour of the resistive microsensors obtained after depositing sensing materials upon the electrodes built in the second metal layer of a CMOS process. The results show the distribution of electric potential and the distribution of temperature obtained for a set of resistive sensors made out of carbon black-polymer composites.","PeriodicalId":156295,"journal":{"name":"2015 IEEE International Conference on Industrial Technology (ICIT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121865451","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