2013 International Conference on Electrical Engineering and Software Applications最新文献_第5页

Robust stiffness control for constrained robots under model uncertainties 模型不确定性约束下机器人的鲁棒刚度控制

2013 International Conference on Electrical Engineering and Software Applications Pub Date : 2013-03-21 DOI: 10.1109/ICEESA.2013.6578388

Haifa Mehdi, O. Boubaker

引用次数: 1

Fingerprint images enhancement using diffusion tensor 利用扩散张量增强指纹图像

2013 International Conference on Electrical Engineering and Software Applications Pub Date : 2013-03-21 DOI: 10.1109/ICEESA.2013.6578465

Feriel Romdhane, F. Benzarti, H. Amiri

引用次数: 2

Speed sensorless indirect field-oriented of induction motor using two type of adaptive observer 采用两种自适应观测器的异步电动机无速度传感器间接磁场定向

2013 International Conference on Electrical Engineering and Software Applications Pub Date : 2013-03-21 DOI: 10.1109/ICEESA.2013.6578380

Chiheb Ben Regaya, A. Zaafouri, A. Chaari

引用次数: 8

A new modeling and simulation methodology of a patch antenna by bond graph approach 基于键合图的贴片天线建模与仿真新方法

2013 International Conference on Electrical Engineering and Software Applications Pub Date : 2013-03-21 DOI: 10.1109/ICEESA.2013.6578431

Sabri Jmal, Hichem Taghouti, A. Mami

引用次数: 6

Sensor-less direct torque control of permanent magnet synchronous motor drive using Extended Kalman filter 基于扩展卡尔曼滤波的永磁同步电机无传感器直接转矩控制

2013 International Conference on Electrical Engineering and Software Applications Pub Date : 2013-03-21 DOI: 10.1109/ICEESA.2013.6578453

M. Moujahed, H. Ben Azza, M. Jemli, M. Boussak

引用次数: 6

Robust tracking navigation of aerial in longitudinal plane 天线纵向平面鲁棒跟踪导航

2013 International Conference on Electrical Engineering and Software Applications Pub Date : 2013-03-21 DOI: 10.1109/ICEESA.2013.6578450

H. Mibar, S. Ttiti

引用次数: 0

New Allied Fuzzy C-Means algorithm for Takagi-Sugeno fuzzy model identification 用于Takagi-Sugeno模糊模型识别的新联合模糊c均值算法

2013 International Conference on Electrical Engineering and Software Applications Pub Date : 2013-03-21 DOI: 10.1109/ICEESA.2013.6578392

Bouzbida Mohamed, Troudi Ahmed, Hassine Lassad, Chaari Abdelkader

引用次数: 4

The first Tunisian fuel cell test station 突尼斯首个燃料电池试验站

2013 International Conference on Electrical Engineering and Software Applications Pub Date : 2013-03-21 DOI: 10.1109/ICEESA.2013.6578369

M. Barbouche, F. Krout, M. Chiha, K. Charradi, A. Zakarya, R. Chtourou

{"title":"The first Tunisian fuel cell test station","authors":"M. Barbouche, F. Krout, M. Chiha, K. Charradi, A. Zakarya, R. Chtourou","doi":"10.1109/ICEESA.2013.6578369","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578369","url":null,"abstract":"Great efforts are presently being undertaken to develop fuel cell applications. In this study, a design and realization of a fuel cell test station is described. The control of the stack temperature and the optimization of some parameters, such as the acquisition and equilibrium time for each value of the current density are necessary steps for an objective and trustworthy comparison of the performance data. Our test bench comprises two major parts hardware and software. The hardware part comprises an electrical cabinet, a power supply, an acquisition chain, an electronic load, mass flow controllers, temperature controller, solenoid valves, and solid state relay. The assemblies of the different parts of the test station are made considering our project objectives, such as, security, size (Length: 1000mm, Width: 800mm, Height: 1900mm), accessibility and mobility...etc. The software part includes not only the development of the pipelines and instrumentations diagrams but also the design of the rack using solid-works software. An interface was developed in the LABVIEW environment to enable mass flow controller and the solenoid valves control. It also allows the automatic data acquisition (fuel cell power, temperature and pressure). Preliminary measurements are made with a PEMFC (25 cm2) to make out the effect of temperature, relative humidity, back pressure and in the end the effect of cell number on the fuel cells power. The results may be used to find the best operating conditions.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128743290","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

A supervised segmentation scheme based on multilayer neural network and color active contour model for breast cancer nuclei detection 基于多层神经网络和彩色活动轮廓模型的监督分割方案用于乳腺癌核检测

2013 International Conference on Electrical Engineering and Software Applications Pub Date : 2013-03-21 DOI: 10.1109/ICEESA.2013.6578451

A. Mouelhi, M. Sayadi, F. Fnaiech

{"title":"A supervised segmentation scheme based on multilayer neural network and color active contour model for breast cancer nuclei detection","authors":"A. Mouelhi, M. Sayadi, F. Fnaiech","doi":"10.1109/ICEESA.2013.6578451","DOIUrl":"https://doi.org/10.1109/ICEESA.2013.6578451","url":null,"abstract":"Breast cancer nuclei detection is an impressive challenge in surgeries and medical treatments. In the microscopic image of immunohistologically stained breast tissue, cancer nuclei present a large variety in their characteristics that bring various difficulties for traditional segmentation algorithms. In this paper, we propose an efficient supervised segmentation method using a multilayer neural network (MNN) combined with a modified geometric active contour model based on Bayes error energy functional for nuclear stained breast tissue images. First, a discrimination function is constructed from color information of the desired nuclei using Fisher Linear Discriminant (FLD) analysis and a trained MNN in order to get a preliminary classification of cancer nuclei. This function is then included in the region term of the energy functional and the stopping function of the model to improve the segmentation accuracy of the detected cancer nuclei. Furthermore, the initial curve and the controlling parameters of the proposed model are estimated directly from the initial segmentation by the FLD-MNN method. The proposed segmentation scheme is tested on different microscopic breast tissue images recorded from real patients located in the Tunisian Salah Azaiez Cancer Center. The experimental results show the superiority of the proposed method when compared with other existing segmentation methods.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132455578","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

Performance evaluation of Wireless Sensor Networks based on ZigBee technology in smart home 基于ZigBee技术的无线传感器网络在智能家居中的性能评估

2013 International Conference on Electrical Engineering and Software Applications Pub Date : 2013-03-21 DOI: 10.1109/ICEESA.2013.6578423

M. Idoudi, Habib Elkhorchani, K. Grayaa

引用次数: 11