Catálogo de publicaciones - libros
Knowledge-Based Intelligent Information and Engineering Systems: 10th International Conference, KES 2006, Bournemouth, UK, October 9-11 2006, Proceedings, Part II
Bogdan Gabrys ; Robert J. Howlett ; Lakhmi C. Jain (eds.)
En conferencia: 10º International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES) . Bournemouth, UK . October 9, 2006 - October 11, 2006
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
Artificial Intelligence (incl. Robotics); Information Systems Applications (incl. Internet); Information Storage and Retrieval; Computer Appl. in Administrative Data Processing; Computers and Society; Management of Computing and Information Systems
Disponibilidad
Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
---|---|---|---|---|
No detectada | 2006 | SpringerLink |
Información
Tipo de recurso:
libros
ISBN impreso
978-3-540-46537-9
ISBN electrónico
978-3-540-46539-3
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
2006
Información sobre derechos de publicación
© Springer-Verlag Berlin Heidelberg 2006
Tabla de contenidos
doi: 10.1007/11893004_71
Adaptive Nonlinearity Compensation of Heterodyne Laser Interferometer
Minsuk Hong; Jaewook Jeon; Kiheon Park; Kwanho You
With its outstanding ultra-precise resolution, the heterodyne laser interferometer systems are commonly used in semiconductor manufacturing industry. However, the periodical nonlinearity error caused from frequency-mixed cross talks limits the accuracy in nanometer scale. In this paper to improve the accuracy of laser interferometer system, we propose an adaptive nonlinearity compensation algorithm using RLS (recursive least square) method. As a reference signal, the capacitance displacement sensor mounted on a linear piezo-electric transducer gives a feedback information on how to transform the elliptical phase into a circular one.
- Intelligent Data Processing in Process Systems and Plants | Pp. 545-552
doi: 10.1007/11893004_72
Study on Safety Operation Support System by Using the Risk Management Information
Yukiyasu Shimada; Takashi Hamaguchi; Kazuhiro Takeda; Teiji Kitajima; Atsushi Aoyama; Tetsuo Fuchino
In case of abnormal situation of chemical process plant, it is required to judge the plant condition correctly and carry out the unerring response. Many operation support systems were proposed to help the plant operator with such judgment and operation decision making, but most of them could not indicate the rationale for operation, because they used only information on the result of plant design. Therefore, plant operator could not get the theoretical information for operation decision making from it. This paper proposes the safety operation support system which helps the operation decision making based on the risk management information (RMI). The RMI is useful one for the theoretical operation decision making, because it is considered and updated through the plant life cycle (PLC) and includes the information on the design rationale (DR) of the safety countermeasure, the intents of corresponding operation, etc. PVC batch process is used for verifying the effectiveness of proposed method.
- Intelligent Data Processing in Process Systems and Plants | Pp. 553-560
doi: 10.1007/11893004_73
Analysis of ANFIS Model for Polymerization Process
Hideyuki Matsumoto; Cheng Lin; Chiaki Kuroda
Adaptive-network-based Fuzzy Inference System (ANFIS), proposed by Jang, is applied to estimating characteristics of end products for a semibatch process of polyvinyl acetate. In modeling the process, it is found that an ANFIS model restructured in a way of cascade mode enhances predictive performance. And membership functions for temperature, solvent fraction, initiator concentration and monomer conversion, which are changed by training, are analyzed. Consequently, it is considered that the analysis of parameter adjustment in the membership functions can clarify effect of adding the conversion to an input variable of fuzzy sets on enhancement of robustness and improvement of local prediction accuracy in restructuring ANFIS model.
- Intelligent Data Processing in Process Systems and Plants | Pp. 561-568
doi: 10.1007/11893004_74
Semi-qualitative Encoding of Manifestations at Faults in Conductive Flow Systems
Viorel Ariton
A complex system in industry is often a conductive flow system. Its abnormal behaviour is difficult to manage due to incomplete and imprecise knowledge on it, also due to propagated effects that appear at faults. Human experts use knowledge from practice to represent abnormal ranges as interval values but they have poor knowledge on variables with no direct link to target system’s goals. The paper proposes a new fuzzy arithmetic, suited to calculate abnormal ranges at test points located far deep in the conductive flow structure of the target system. It uses a semiqualitative encoding of manifestations at faults, and exploits the negative correlation of the power variables (pressure like and flow-rate like) in faulty cases. The method is compared to other approaches and it is tested on a practical case.
- Intelligent Data Processing in Process Systems and Plants | Pp. 569-578
doi: 10.1007/11893004_75
Design Problems of Decision Making Support System for Operation in Abnormal State of Chemical Plant
Kazuhiro Takeda; Takashi Hamaguchi; Yukiyasu Shimada; Yoshifumi Tsuge; Hisayoshi Matsuyama
Any plants must achieve their activities, safely. Especially in chemical plants, there are possibilities of disasters or explosion, because these plants handle with many combustible or hazardous substances. Therefore, safety operation for the plants is required absolutely. To prevent the plant from abnormal state, plant maintenance techniques and human engineering has been proposed. And to prevent the plant from accidents in abnormal state, decision making support system for operation has been proposed. But the design of the system has some problems. In this paper, the design example using boiler plant simulator is illustrated, and the results and problems are proved.
- Intelligent Data Processing in Process Systems and Plants | Pp. 579-586
doi: 10.1007/11893004_76
A Training System for Maintenance Personnel Based on Analogical Reasoning
Takashi Hamaguchi; Hu Meng; Kazuhiro Takeda; Yukiyasu Shimada; Yoshihiro Hashimoto; Toshiaki Itoh
This paper discusses the framework of a training system for maintenance personnel based on an analogical reasoning and a prototype system that is developed to check the effectiveness. It is difficult to get similar information on trouble and failure reports in short time. By combining trouble database and design database, and by searching using plant ontology, similar results can be searched.
- Intelligent Data Processing in Process Systems and Plants | Pp. 587-594
doi: 10.1007/11893004_77
On-Line Extraction of Qualitative Movements for Monitoring Process Plants
Yoshiyuki Yamashita
Qualitative representation of signal trend is useful in various applications to model temporal evolution. Monitoring and decision support of process plant operation is one of the typical application examples. Graphical representation of two temporal signals in a two variables plane often characterizes special features of data. This paper presents an effective online method to extract qualitative representation of movements in a two variables plane. The method is applied to a diagnosis of a control valve in an industrial plant.
- Intelligent Data Processing in Process Systems and Plants | Pp. 595-602
doi: 10.1007/11893004_78
An Expansion of Space Affordance by Sound Beams and Tactile Indicators
Taizo Miyachi; Jens J. Balvig; Jun Moriyama
The information in mobile terminal should be connected to objects in an immediate space where a pedestrian walks. We propose a mobility assistance system by parametric speakers cooperating with the Braille blocks with embedded IC-tag so as to allow pedestrians to safely perform tasks in the artificial “space affordance.” Complicated structures in a town, perceptive information and cognitive information useful for various scenes in the town are also discussed.
- Skill Acquisition and Ubiquitous Human Computer Interaction | Pp. 603-610
doi: 10.1007/11893004_79
Automatic Discovery of Basic Motion Classification Rules
Satoshi Hori; Mizuho Sasaki; Hirokazu Taki
There is a keen demand for a method of sharing better work practices in a factory because better work practices are the key to improving productivity. We have developed a system that can measure a worker’s motion and automatically generate a manual that describes his movements. This system employs motion study as used in Industrial Engineering to identify the important steps in a job, and it has proven to be effective especially in the fields of factory machine operation and maintenance. However, work procedures often include unique basic motions. The determination of basic motions and the creation of an algorithm that can classify these basic motions are time consuming and complex tasks. Therefore we have employed the C4.5 algorithm to discover rules that classify the basic motions. Experimental results prove that our method can successfully discover rules for various work procedures.
- Skill Acquisition and Ubiquitous Human Computer Interaction | Pp. 611-619
doi: 10.1007/11893004_80
An Interpretation Method for Classification Trees in Bio-data Mining
Shigeki Kozakura; Hisashi Ogawa; Hirokazu Miura; Noriyuki Matsuda; Hirokazu Taki; Satoshi Hori; Norihiro Abe
This research describes the analysis of a decision tree to interactively make rules from data that includes noise. A decision tree is often used in data mining technology because classification rules generated by the decision tree form new knowledge for the domain. However, it is difficult for a non-specialist user of data analysis to discover knowledge even if the decision tree is presented to the user. Moreover, the target data for mining may have both discrete values and continuous values, and these may include a lot of noise and exceptions. To understand the rules, the user needs the intermediate results of mining. Our system has interactive functions to realize interactive mining, and in this research, we propose a data mining technique with an interpretation function so that the user can understand analyzed data from which a required rule is derived.
- Skill Acquisition and Ubiquitous Human Computer Interaction | Pp. 620-627