2010 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications最新文献

Bidimensional Empirical Mode Decomposition for multiresolution image coding 二维经验模态分解用于多分辨率图像编码

2010 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2010-10-28 DOI: 10.1109/CIMSA.2010.5611762

C. Guaragnella, A. Manni, F. Palumbo, T. Politi

引用次数: 3

Self-descriptive IF THEN rules from signal measurements: A holonic-based computational technique 自描述中频规则从信号测量:一个基于全息的计算技术

2010 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2010-10-28 DOI: 10.1109/CIMSA.2010.5611760

M. Calabrese

引用次数: 8

Automatic segmentation and therapy follow-up of cerebral glioma in diffusion-tensor images 脑胶质瘤弥散张量图像的自动分割及治疗随访

2010 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2010-10-28 DOI: 10.1109/CIMSA.2010.5611767

G. De Nunzio, M. Donativi, G. Pastore, L. Bello, R. Soffietti, A. Falini, A. Castellano

引用次数: 3

Incremental PCA-LDA algorithm 增量PCA-LDA算法

2010 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2010-10-28 DOI: 10.1109/CIMSA.2010.5611752

I. Dagher

引用次数: 44

Measurement of the principal singular point in contact and contactless fingerprint images by using computational intelligence techniques 基于计算智能技术的接触式和非接触式指纹图像的主奇异点测量

2010 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2010-10-28 DOI: 10.1109/CIMSA.2010.5611769

R. D. Labati, A. Genovese, V. Piuri, F. Scotti

{"title":"Measurement of the principal singular point in contact and contactless fingerprint images by using computational intelligence techniques","authors":"R. D. Labati, A. Genovese, V. Piuri, F. Scotti","doi":"10.1109/CIMSA.2010.5611769","DOIUrl":"https://doi.org/10.1109/CIMSA.2010.5611769","url":null,"abstract":"Biometric systems identify individuals by comparison of the individual biometric traits, such as the fingerprint patterns. In the literature, many relevant methods are based on the localization of a reference “pivot” point of the fingerprint, called principal singular point (PSP). Most of the time, the PSP is selected from the list of the estimated singular points (SPs) that are identified by specific local patterns of the fingerprint ridges, called cores and deltas. The challenge is to provide an automatic method capable to select the same PSP from different images of the same fingertip. In this paper, we propose a technique that estimates the position of all the singular points by processing the global structure of the ridges and extracting a specific set of features. The selection of the reference point from the candidate list is then obtained by processing the extracted features with computational intelligence classification techniques. Experiments show that the method is accurate and it can be applied on contact and contact-less image types.","PeriodicalId":162890,"journal":{"name":"2010 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125110680","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: 21

Auction approach for management of a virtual classroom 拍卖方式的虚拟教室管理

2010 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2010-10-28 DOI: 10.1109/CIMSA.2010.5611758

V. Di Lecce, Alessandro Quarto, A. Giove

引用次数: 1

A priori knowledge-based recognition and inspection in carbide insert production 基于先验知识的硬质合金刀片生产识别与检测

2010 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2010-10-28 DOI: 10.1109/CIMSA.2010.5611757

R. Schmitt, Yu Cai, T. Aach

引用次数: 1

Prediction of Lorenz chaotic time series via Genetic Algorithm 基于遗传算法的Lorenz混沌时间序列预测

2010 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2010-10-28 DOI: 10.1109/CIMSA.2010.5611750

Hanif Tahersima, Fatemeh Tahersima, A. Mesgari, Mohammad Jafar, K. Saleh

引用次数: 2

Measurements and identification of Autonomic Computing processes 自主计算过程的测量和识别

2010 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2010-10-28 DOI: 10.1109/CIMSA.2010.5611771

B. Solomon, D. Ionescu, Marin Litoiu, Gabriel Iszlai, O. Proștean

{"title":"Measurements and identification of Autonomic Computing processes","authors":"B. Solomon, D. Ionescu, Marin Litoiu, Gabriel Iszlai, O. Proștean","doi":"10.1109/CIMSA.2010.5611771","DOIUrl":"https://doi.org/10.1109/CIMSA.2010.5611771","url":null,"abstract":"There is a growing need for the automation of the IT infrastructure of enterprises. Autonomic computing provided a theoretical support for the foundation of mechanisms for self-optimization of computational resources at all the levels of the IT infrastructure of the enterprise. As the Autonomic Computing paradigm requires collecting information in regards to specific parameters based on which a decision module will act, the architecture of an autonomic computing system is very much similar to a real-time control system. Thus the validation of the model used for the mathematical characterization of the autonomic computing processes is crucial. In this paper, starting from the model of autonomic computing processes an identification technique adapted to autonomic computing processe, is introduced. The identification is based on injecting pseudo random arrival rates into the autonomic system as disturbances. The observations are collected from sensors for CPU load, throughput, response time, etc implemented in the middleware over which applications were deployed. The identification process described in this paper determines first the sampling rate and then uses the Recursive Parameter Estimation technique (RPE)for Extended Kalman Filters, to obtain a model on which the whole control strategy relies upon. Experiments and results are described in the end of this paper.","PeriodicalId":162890,"journal":{"name":"2010 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130963377","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

Computational-based volatile organic compounds discrimination: An experimental low-cost setup 基于计算的挥发性有机化合物鉴别:一种低成本的实验装置

2010 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Pub Date : 2010-10-28 DOI: 10.1109/CIMSA.2010.5611763

V. Di Lecce, M. Calabrese, R. Dario

引用次数: 14