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检索条件"任意字段=International Conference of Soft Computing and Pattern Recognition"

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A Hierarchy-Based Method for Synthesizing Frequent Itemsets Extracted from Temporal Windows

A Hierarchy-Based Method for Synthesizing Frequent Itemsets ...

引用

international conference of soft computing and pattern recognition (SOCPAR)

作者： Yoann Pitarch Anne Laurent Pascal Poncelet LIRMM UM2-CNRS Montpellier France

With the rapid development of information technology, many applications have to deal with potentially infinite data streams. In such a dynamic context, storing the whole data stream history is unfeasible and providing a high-quality summary is required for decision makers. A practical and consistent summarization method is the extraction of the frequent itemsets over temporal windows. Nevertheless, this method suffers from a critical drawback: results pile up quickly making the analysis either uncomfortable or impossible for users. In this paper, we propose to unify these results thanks to a synthesis method for multidimensional frequent itemsets based on a graph structure and taking advantage of the data hierarchies. We overcome a major drawback of the tilted time window (TTW) standard framework by taking into account the data distribution. Experiments conducted on both synthetic and real datasets show that our approach can be applied to data streams.

关键词： Itemsets Data mining History Multidimensional systems Information technology Data analysis Humans pattern recognition Information analysis Biomedical equipment

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Real-Time Process Management System in a Restaurant by Sharing Food Order Information

Real-Time Process Management System in a Restaurant by Shari...

引用

international conference of soft computing and pattern recognition (SOCPAR)

作者： Takeshi Shimmura Takeshi Takenaka Motoyuki Akamatsu National Institute of Advanced Industrial Sciences and Technologies Ganko Food Service Company Limited Osaka Japan Center for service research National Institute for Advanced Industrial Science and Technology Tokyo Japan The Institute for Human Science and Biomedical Engineering National Institute for Advanced Industrial Science and Technology Tsukuba Japan

In a full-service restaurant, it is crucial to share order information among staff in the dining room and kitchen. This paper introduces a real-time process management system for restaurants using an advanced point-of-sale (POS) system by which staff can share order information in real time. In this system, kitchen staff can check all customer orders by the dish that was ordered and the elapsed time of each order. Moreover, dining hall workers can grasp their customer situation with a monitor. By introducing this system to a restaurant, we confirmed that it can make preparation processes more efficient and reduce customers' claims.

关键词： Real time systems Shape Curve fitting Phase detection Image segmentation Iterative algorithms pattern recognition Information science Data mining Computer graphics

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ICSC 2009 - 2009 IEEE international conference on Semantic computing

ICSC 2009 - 2009 IEEE International Conference on Semantic C...

引用

ICSC 2009 - 2009 IEEE international conference on Semantic computing

ISBN: (纸本)9780769538006

The proceedings contain 105 papers. The topics discussed include: detecting attempts at humor in multiparty meetings;understanding implicit entities and events with getaruns;generalizing latent semantic analysis;LAIR: a language for automated semantics-aware text sanitization based on frame semantics;identifying patterns in texts;contextual analysis processing methods able to interpret sentiments evaluation representations;query sentences as semantic (sub) networks;matching songs to events in image collections;improving semantic video retrieval via object-based features;on the use of artificial conversation data for speaker recognition in cars;stopword graphs and authorship attribution in text corpora;semantic schema matching without shared instances;supporting personalized information exploration through subjective expert-created semantic attributes;and building context aware network of wireless sensors using a novel pattern recognition scheme called hierarchical graph neuron.

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Using SIFT for the Filtering of Chinese Text in Image of Multimedia Message Service

Using SIFT for the Filtering of Chinese Text in Image of Mul...

引用

5th international conference on Wireless Communications, Networking and Mobile computing

作者： Ma, ChunXiao Zhang, Chuang Lin, ZhiQing Beijing Univ Posts & Telecommun186 Pattern Recognit & Intelligent Syst Lab Beijing 100876 Peoples R China

ISBN: (纸本)9781424436927

With the popularity of MMS, the multimedia messages which include sensitive information are increasing rapidly. In the paper, a novel framework of a MMS filtering for Chinese sensitive text in image is presented. An effective method is applied to detect and filter sensitive texts in image of multimedia message which could easily be transmitted through the mobile communication network without being monitored at recent stage. The detection and recognition of sensitive text are achieved by using SIFT feature, which is proper to the characteristics of the text in image of multimedia message and get an accurate result. The method has a good practical application value.

关键词： sensitive multimedia message SIFT feature sensitive text filtering detection MMS

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On Fuzzy Inference System Based Failure Mode and Effect Analysis (FMEA) Methodology

On Fuzzy Inference System Based Failure Mode and Effect Anal...

引用

international conference of soft computing and pattern recognition (SOCPAR)

作者： Kai Meng Tay Electronic Engineering Department Faculty of Engineering Universiti Malaysia Sarawak Sarawak Malaysia

Failure Mode and Effect Analysis (FMEA) is a popular problem prevention methodology. It utilizes a Risk Priority Number (RPN) model to evaluate the risk associated to each failure mode. The conventional RPN model is simple, but, its accuracy is argued. A fuzzy RPN model is proposed as an alternative to the conventional RPN. The fuzzy RPN model allows the relation between the RPN score and Severity, Occurrence and Detect ratings to be of non-linear relationship, and it maybe a more realistic representation. In this paper, the efficiency of the fuzzy RPN model in order to allow valid and meaningful comparisons among different failure modes in FMEA to be made is investigated. It is suggested that the fuzzy RPN should be subjected to certain theoretical properties of a length function e.g. monotonicity, sub-additivity and etc. In this paper, focus is on the monotonicity property. The monotonicity property for the fuzzy RPN is firstly defined, and a sufficient condition for a FIS to be monotone is applied to the fuzzy RPN model. This is an easy and reliable guideline to construct the fuzzy RPN in practice. Case studies relating to semiconductor industry are then presented.

关键词： Fuzzy systems Failure analysis Sufficient conditions Power system modeling pattern analysis Semiconductor device manufacture pattern recognition Guidelines Electronics industry Reliability engineering

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computing the Autopilot Control Algorithm Using Predictive Functional Control for Unstable Model

Computing the Autopilot Control Algorithm Using Predictive F...

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international conference of soft computing and pattern recognition (SOCPAR)

作者： H. A. Kasdirin J. A. Rossiter Faculty of Electrical Engineering Universiti Teknikal Malaysia Melaka Malaysia Department of Automatic Control & Systems Engineering University of Sheffield UK

This paper discusses the computing development of a control algorithm using predictive functional control (PFC) for model-based that having one or more unstable poles. One basic ballistic missile model is used as an unstable model to formulate the control law algorithm using PFC. PFC algorithm development is computationally simple as a controller and it is not very complicated as the function of a missile will explode as it reaches the target. Furthermore, the analysis and issues of the implementation relating linear discrete-time unstable process are also being discussed. Hence, designed PFC algorithm need to find the suitable tuning parameters as its play an important part of the designing the autopilot controller. Thus, the tuning of the desired time constant, ¿ and small coincidence horizon n1 in a single coincidence point shows that the PFC control law is built better in the dynamic pole of the unstable missile mode. As a result, by using a trajectory set-point, some positive results is presented and discussed as the missile follow its reference trajectory via some simulation using MATLAB 7.0.

关键词： Prediction algorithms Predictive models Design optimization Printing Integer linear programming Constraint optimization Testing Containers pattern recognition Computer applications

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Finding the number of clusters in ordered dissimilarities

Finding the number of clusters in ordered dissimilarities

引用

4th international conference on Natural Computation (ICNC 2008)

作者： Sledge, Isaac J. Havens, Timothy C. Huband, Jacalyn M. Bezdek, James C. Keller, James M. Univ Missouri Dept Elect & Comp Engn Columbia MO 65211 USA Univ W Florida Dept Comp Sci Pensacola FL 32514 USA

As humans, we have innate faculties that allow us to efficiently segment groups of objects. Computers, to some degree, can be programmed with similar categorical capabilities, which stem from exploratory data analysis. Out of the various subsets of data reasoning, clustering provides insight into the structure and relationships of input samples situated in a number of distributions. To determine these relationships, many clustering methods rely on one or more human inputs;the most important being the number of distributions, c, to seek. This work investigates a technique for estimating the number of clusters from a general type of data called relational data. Several numerical examples are presented to illustrate the effectiveness of the proposed method.

关键词： Data analysis pattern recognition Clustering Cluster tendency Cluster count extraction

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Modified fast principal component analysis

Modified fast principal component analysis

引用

2009 international conference on Image Processing, Computer Vision, and pattern recognition, IPCV 2009

作者： Wang, Jin Adjouadi, Malek College of Engineering and Computing Florida International University Miami FL United States

ISBN: (纸本)9781601321190

Due to the randomly generated initial vector (which may converge to local minimum) in the fixed-point algorithm, the existing fast principal component analysis (fast PCA) has unstable performance in the order it generates eigenvectors. In this paper, by modifying the fast PCA algorithm, the deficiency of fixed point algorithm is minimized. To evaluate the merit of the proposed modified algorithm, similarities between standard eigenvectors from eigenvalue decomposition (EVD), eigenvectors from fast PCA, and eigenvectors the proposed modified algorithm are compared. The comparison indicates that the eigenvectors from the modified fast PCA has better similarity to the standard eigenvectors. In addition, the fast PCA and modified fast PCA are compared into the face recognition application to evaluate their performance.

关键词： Eigenvalues and eigenfunctions

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Comparison of Fuzzy Control Rules Using MATLAB Toolbox and Simulink for DC Induction Motor-Speed Control

Comparison of Fuzzy Control Rules Using MATLAB Toolbox and S...

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international conference of soft computing and pattern recognition (SOCPAR)

作者： Mohd Shahrieel Mohd Aras Syed Najib Bin Syed Salim Eric Chee Sai Hoo Intan Azmira binti Wan Abd Razak Mohd Hendra bin Hairi Department of Mechatronics Faculty of Electrical Engineering UTeM Malacca Malaysia Faculty of Electrical Engineering UTeM Malacca Malaysia Department of Power Faculty of Electrical Engineering UTeM Malacca Malaysia Department of Control & Automation Faculty of Electrical Engineering UTeM Malacca Malaysia

This paper presents a fuzzy logic control for a speed control of DC induction motor. The simulation developed by using Fuzzy MATLAB Toolbox and SIMULINK. The fuzzy logic controller is also introduced to the system for keeping the motor speed to be constant when the load varies. Because of the low maintenance and robustness induction motors have many applications in the industries. The speed control of induction motor is more important to achieve maximum torque and efficiency. The result of the 3×3 matrix fuzzy control rules and 5×5 matrix fuzzy control rules of the theta and speed will do comparison in this paper. Observation the effects of the fuzzy control rules on the performance of the DC-induction motor-speed control.

关键词： Fuzzy control MATLAB Shape Curve fitting Phase detection Image segmentation Iterative algorithms pattern recognition Information science Data mining

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Keyword Combination Extraction in Text Categorization Based on Ant Colony Optimization

Keyword Combination Extraction in Text Categorization Based ...

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international conference of soft computing and pattern recognition (SOCPAR)

作者： Zi-jun Yu Wei-gang Wu Jing Xiao Jun Zhang Rui-Zhang Huang Ou Liu Department of Computer Science SUN yat-sen University Guangzhou China Hong Kong Polytechnic University Hong Kong China

Due to the increasing number of documents in digital form, the automated text categorization (TC) has become more and more promising in the last ten years. A TC system can automatically assign a document with the most suitable category, but the reason for such an assignment is usually unknown by users. To make the TC system be interpretable, it is necessary to select a group of keywords, or termed a keyword combination, to describe each text category. In this paper, we propose a novel algorithm, keyword combination extraction based on ant colony optimization (KCEACO), to search the optimal keyword combination of a target category. By extending the traditional feature selection techniques, an evaluation function is designed for evaluating a keyword combination. This function takes into account the relationships among different keywords. Experimental results show that KCEACO can efficiently find the optimal keyword combination from a large number of candidate combinations.

关键词： Text categorization Ant colony optimization Data mining Support vector machines pattern recognition Computer science Sun software libraries Electronic publishing Information retrieval

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