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A Wind Tunnel based CFD Validation Procedure for Sail Design 基于风洞的风帆设计CFD验证程序
2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2007-06-27 DOI: 10.1109/CIMSA.2007.4362545
V. Diaz Casas, F. L. Pena, R. J. Duro
{"title":"A Wind Tunnel based CFD Validation Procedure for Sail Design","authors":"V. Diaz Casas, F. L. Pena, R. J. Duro","doi":"10.1109/CIMSA.2007.4362545","DOIUrl":"https://doi.org/10.1109/CIMSA.2007.4362545","url":null,"abstract":"The use of computational fluid dynamics simulators in a design procedure usually requires choosing between precision and computational cost. This is especially true if the simulator is used within an automatic design environment where it is going to be run recursively in many iterations. This work presents an experimental validation procedure applied to a simplified aerodynamic simulator for sail design. The simulator permits evaluating a large number of different alternatives with a moderate computational cost. However, some validation of the achieved numerical results is required in order to obtain realistic results.","PeriodicalId":392846,"journal":{"name":"2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131449236","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
An Intelligent Wireless Electronic Nose Node for Monitoring Gas Mixtures Using Neuro-Fuzzy Networks Implemented on a Microcontroller 一种基于神经模糊网络的智能无线电子鼻节点在单片机上的实现
2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2007-06-27 DOI: 10.1109/CIMSA.2007.4362547
Young Wung Kim, Jung-Hwan Cho, Gi Joon Jeon
{"title":"An Intelligent Wireless Electronic Nose Node for Monitoring Gas Mixtures Using Neuro-Fuzzy Networks Implemented on a Microcontroller","authors":"Young Wung Kim, Jung-Hwan Cho, Gi Joon Jeon","doi":"10.1109/CIMSA.2007.4362547","DOIUrl":"https://doi.org/10.1109/CIMSA.2007.4362547","url":null,"abstract":"This paper presents an intelligent wireless electronic nose node (WENN) that has been designed to classify and quantify binary gas mixtures, NH3 and H2S, the main malodors in various environments. The proposed WENN is based on embedded PC technology and neuro-fuzzy network algorithms. The hardware part of the designed system consists of a microcontroller for processing the measured data set obtained from a micro-gas sensor array, and a Zigbee-ready RF transceiver for transmitting the processed data to a base node. The main program embedded on the designed hardware performs real-lime classification and concentration estimation of the binary gas mixtures using the fuzzy ART and ARTMAP neural networks. To verify performance of the designed intelligent WENN, the measured data from the experiments for the binary gas mixtures have been executed using the WENN. The results show the reproducibility of the measured data and the verification of real-time classification and concentration estimation for the target gas.","PeriodicalId":392846,"journal":{"name":"2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114586758","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: 10
Parallelization of Fuzzy-Classical Filters For Image Noise Reduction 用于图像降噪的模糊经典滤波器的并行化
2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2007-06-27 DOI: 10.1109/CIMSA.2007.4362532
Hamed Vahdat-Nejad, Hosneyeh Zolfaghari, R. Monsefi
{"title":"Parallelization of Fuzzy-Classical Filters For Image Noise Reduction","authors":"Hamed Vahdat-Nejad, Hosneyeh Zolfaghari, R. Monsefi","doi":"10.1109/CIMSA.2007.4362532","DOIUrl":"https://doi.org/10.1109/CIMSA.2007.4362532","url":null,"abstract":"Several fuzzy filters for image noise reduction have already been developed. In general, they are able to preserve images in a more comprehensive means than classical filters, and they have the ability to combine edge-preservation and smoothing. However, the implementation of fuzzy filters is very time- consuming. On the other hand, parallel and grid computing technologies are efficient tools for implementing fuzzy filters. In this paper, we propose a parallel skeleton for some fuzzy weighted mean filters. We have implemented the algorithms using MatlabMPI (a parallel, message passing version of Matlab). Our experiments show the feasibility and efficiency of the algorithms.","PeriodicalId":392846,"journal":{"name":"2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123508460","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
Sensor Calibration Using the Neural Extended Kalman Filter in a Control Loop 基于神经扩展卡尔曼滤波的控制回路传感器标定
2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2007-06-27 DOI: 10.1109/CIMSA.2007.4362531
K. Kramer, S. Stubberud, J. A. Geremia
{"title":"Sensor Calibration Using the Neural Extended Kalman Filter in a Control Loop","authors":"K. Kramer, S. Stubberud, J. A. Geremia","doi":"10.1109/CIMSA.2007.4362531","DOIUrl":"https://doi.org/10.1109/CIMSA.2007.4362531","url":null,"abstract":"Sensor errors can adversely affect the behavior of a control system. When multiple sensors are used, a broken sensor can have its effects minimized by artificially inflating its error covariance. In this paper, a different approach to compensating for sensor errors in a multiple-sensor control system is introduced. The technique, referred to as a neural extended Kalman filter (NEKF), is developed for closed-loop control systems. The NEKF learns on-line from the same residual information used in the state estimator. The improvement in the sensor report is made by the neural network being added to the measurement model. In this work, the NEKF is applied to vehicle trajectory control problem with a position sensor and a velocity sensor.","PeriodicalId":392846,"journal":{"name":"2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"162 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122051848","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: 4
Improving WLANs through a Hybrid MAC Access Protocol with a Natural Index 基于自然索引的混合MAC接入协议改进无线局域网
2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2007-06-27 DOI: 10.1109/CIMSA.2007.4362542
X. Tian, T. Ideguchi, T. Okuda
{"title":"Improving WLANs through a Hybrid MAC Access Protocol with a Natural Index","authors":"X. Tian, T. Ideguchi, T. Okuda","doi":"10.1109/CIMSA.2007.4362542","DOIUrl":"https://doi.org/10.1109/CIMSA.2007.4362542","url":null,"abstract":"The MAC protocol is important in LAN, especially in wireless LAN because of limited bandwidth. A great deal of research has been carried out and some of proposed schemes are effective. Specifically, considerable effort has been devoted to improving the IEEE 802.11 standard which is utilized widely and it seems that we cannot expect to enhance the throughput dramatically than improved proposals ether for DCF or PCF. In the meantime, besides throughput, there are some other issues for DCF such as fairness and QoS support. However, except for several hybrid protocols, most proposals were either based on contention mode or schedule mode and neither of the two modes has possessed the good characters of the other. In this paper, we propose a new hybrid MAC scheme used for distributed system (with no control node) that dynamically adapts to traffic changes without degradation of delay in the case of low traffic load and achieves high throughput which is close to transmission capacity in saturated case. We carried out simulations focusing on throughput and delay. Through an analysis of simulation results, we show that our scheme can greatly improve the throughput with low delay.","PeriodicalId":392846,"journal":{"name":"2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131692957","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 novel Active Contour Model algorithm for contour detection in complex objects 一种用于复杂目标轮廓检测的主动轮廓模型算法
2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2007-06-27 DOI: 10.1109/CIMSA.2007.4362537
G. Gargano, R. Bellotti, F. D. Carlo, S. Tangaro, E. Tommasi, M. Castellano, P. Cerello, S. Cheran, C. Fulcheri
{"title":"A novel Active Contour Model algorithm for contour detection in complex objects","authors":"G. Gargano, R. Bellotti, F. D. Carlo, S. Tangaro, E. Tommasi, M. Castellano, P. Cerello, S. Cheran, C. Fulcheri","doi":"10.1109/CIMSA.2007.4362537","DOIUrl":"https://doi.org/10.1109/CIMSA.2007.4362537","url":null,"abstract":"A new active contour model (ACM) algorithm for the detection of the contour of bi-dimensional regions is presented. The algorithm is based on the simulation of an elastic band glued to the contour of the region under analysis. As a result a local convex hull is obtained, where the radius of the concave regions included by the elastic band is defined by properly tuning a parameter. A dedicated application to medical images is presented. The algorithm is part of a segmentation system able to extract the lung volume from 3D CT scans. The effectiveness of the algorithm is evaluated on a database of 15 low-dose CT scans (about 320 sectional images per CT), including 26 nodules. No pathological structure is missing after the lung volume segmentation, while a reduction of the volume to analyze is obtained to about 15% of the total volume of the original CT scan, and 25% of the chest volume.","PeriodicalId":392846,"journal":{"name":"2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128388493","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: 5
ANN Residential Load Classifier for Intelligent DSM System 智能用电需求侧管理系统的ANN住宅负荷分类器
2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2007-06-27 DOI: 10.1109/CIMSA.2007.4362534
Marco Calabrese, Vincenzo Di Leccel, V. Piuri
{"title":"ANN Residential Load Classifier for Intelligent DSM System","authors":"Marco Calabrese, Vincenzo Di Leccel, V. Piuri","doi":"10.1109/CIMSA.2007.4362534","DOIUrl":"https://doi.org/10.1109/CIMSA.2007.4362534","url":null,"abstract":"Demand-side Management (DSM) systems have became common in both industrial and homely applications. Basically, these systems help the customers to use electricity more efficiency. Commercial DSM systems are based on the knowledge of instantaneous load power request and, using a priority table, they make their choice. These approaches embed low-level intelligence, hence they can guarantee only coarse results. In this paper an ANN-based residential load classification component to use in the DSM system is described. Aim of the DSM is to prevent cut-off from happening and to schedule loads in a prioritized mode. By means of an associative memory, each socket tap is capable of identify the connected load from a table of \"known devices\". The eventual misclassification that may arise during the guessing phase is specifically handled by a new training phase. The time the system spends responding to the wrong classification and reacting to it is generally shorter than the time required by the provider's meter to detect the exceeding of the power limit.","PeriodicalId":392846,"journal":{"name":"2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126820586","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: 4
Ant Colonies for the reconstruction of artificial 3D Objects 用于人工三维物体重建的蚁群
2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2007-06-27 DOI: 10.1109/CIMSA.2007.4362536
P. Cerello, S. Cheran, G. Gargano, R. Bellotti, D. De F., S. Tangaro, C. Fulcheri, L.T. E, E. Tommasi
{"title":"Ant Colonies for the reconstruction of artificial 3D Objects","authors":"P. Cerello, S. Cheran, G. Gargano, R. Bellotti, D. De F., S. Tangaro, C. Fulcheri, L.T. E, E. Tommasi","doi":"10.1109/CIMSA.2007.4362536","DOIUrl":"https://doi.org/10.1109/CIMSA.2007.4362536","url":null,"abstract":"Ant Colony Models are artificial simulations of real ant colonies [1], [2]. The way real ants behave in nature inspire cooperation and competition strategies for virtual agent: the emergence of intelligent behavior and swarm-based self- organization can be used to solve difficult problems. In this work an Ant Colony Model for 3D objects reconstruction is presented. The accuracy in reconstructing 3D object is tested on artificial 3D objects and on 10 real Computed Tomography (CT) images of human lungs.","PeriodicalId":392846,"journal":{"name":"2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125320884","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
Implementation of Genetic Algorithms Optimization Method for the Optimal Design of Parallel Micro Robot 遗传算法优化方法在并联微型机器人优化设计中的实现
2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2007-06-27 DOI: 10.1109/CIMSA.2007.4362543
S. Stan, Vistrian Matieq, Ciprian Lapuan
{"title":"Implementation of Genetic Algorithms Optimization Method for the Optimal Design of Parallel Micro Robot","authors":"S. Stan, Vistrian Matieq, Ciprian Lapuan","doi":"10.1109/CIMSA.2007.4362543","DOIUrl":"https://doi.org/10.1109/CIMSA.2007.4362543","url":null,"abstract":"This paper is aimed at presenting a study on the optimization of the Biglide mini parallel robot, which comprises two-degree-of-freedom (DOF) mini parallel robots with constant struts. The robot workspace is characterized and the inverse kinematics equation is obtained In the paper, design optimization is implemented with genetic algorithms (GA) for optimization considering transmission quality index, design space and workspace. Here, intended to show the advantages of using the GA, we applied it to a multicriteria optimization problem of 2 DOF mini parallel robot. genetic algorithms (GA) are so far generally the best and most robust kind of evolutionary algorithms. A GA has a number of advantages. It can quickly scan a vast solution set. Bad proposals do not affect the end solution negatively as they are simply discarded The obtained results have shown that the use of GA in such kind of optimization problem enhances the quality of the optimization outcome, providing a better and more realistic support for the decision maker.","PeriodicalId":392846,"journal":{"name":"2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115045403","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
Characterization and classification of electrical transients using higher-order statistics and neural networks 利用高阶统计量和神经网络对电瞬变进行表征和分类
2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2007-06-27 DOI: 10.1109/CIMSA.2007.4362533
J.-J.G. de-la-Rosa, A. Mufioz, Á. Luque, C. Puntonet
{"title":"Characterization and classification of electrical transients using higher-order statistics and neural networks","authors":"J.-J.G. de-la-Rosa, A. Mufioz, Á. Luque, C. Puntonet","doi":"10.1109/CIMSA.2007.4362533","DOIUrl":"https://doi.org/10.1109/CIMSA.2007.4362533","url":null,"abstract":"This paper deals with power-quality (PQ) event characterization using higher-order cumulants. Their maxima and minima are the main features, and classification is based in competitive layers. We concentrate on differentiating two types of transients (short duration and long duration). By measuring the fourth-order cumulants' maxima and minima, we build the two- dimensional feature measured vector. Cumulants are calculated over high-pass filtered signals, to avoid the 50-Hz signal. We have observed that the minima and maxima produce clusters in the feature space for 4th-order cumulants; third-order cumulants are not capable of differentiate these two very similar PQs. The experience sets the foundations of an automatic procedure.","PeriodicalId":392846,"journal":{"name":"2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130626606","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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