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Professor |
Assistant Professor |
- Signal processing for plant monitoring and control
- Dynamical system identification and analysis
- Inverse problem solving for Non-destructive evaluation
- Multi-Agent Simulation
- Electric power exchange market simulation
- Traffic simulation for emergency response management
- Functional safety of embedded system
- Web Service
- Semantic Web
- Workflow and Business Process Management
- Web Data Mining
- Semantic e-Business Application
Research by faculties and students in the Computer Industry Laboratory has been carried out in the fields of both basic computer science and industrial applications, such as Artificial Intelligence, Semantic Web Service, Web Data Mining, e-Business, Signal processing, Simulation engineering, and Functional Safety. Several articles were published as book chapters, journal-contributions, proceedingscontributions in conferences, and technical reports. The research activities of the Computer Industry Laboratory include the following topics: |
Refereed Journal Papers
| [kanemoto-01:2008] |
W Cheng, S. Kanemoto, and I. Komura. Numerical Evaluation of
the Depth of Branched-off Cracks Using Eddy Current Testing Signals. IEEE
Transactions of Magnetics, 44(6):1030–1033, 2008. |
| Numerical evaluation of the depth of branched-off cracks was made using Eddy Current
Testing signals and electromagnetic FEM analysis code. |
Refereed Proceeding Papers
| [kanemoto-02:2008] |
S. Kanemoto, T. Tamaoki, and S. Shimizu. New Acoustic Monitoring
Method Using Kernel PCA and Probabilistic Neural Network. In
H. Yoshikawa, editor, International Symposium on Symbiotic Nuclear Power
Systems (ISSNP2009) for 21st Century, Harbin, China, Vol. 1, pp. 92–98, Sep.
2008. |
| The acoustic data remotely measured by handy type microphones are investigated for
monitoring and diagnosing the ball bearing type rotational machine integrity in nuclear
power plants. The present study proposes the new signal pre-processing method
which normalizes the fundamental oscillation period into the same length and timing
by using zero-crossing interval of filtered acoustic signal. The pre-processed signal
patterns are classified by kernel-based principal component analysis (KPCA) and
probabilistic neural network (PNN). It is shown that the monitoring index defined by
KPCA and PNN is useful to classify the known states and unknown states with high
sensitivity. |
|
| [paikic-01:2008] |
Haruhiko Takada and Incheon Paik. Design of General User Interface for
Automatic Web Service Composition. In Joint Workshop on Frontier of Computer
Science and Technology (FCST),pp. 75–78, Nagasaki, Japan, December
2008. FCST 2008 Committee, IEEE CPS. |
| Automatic Web Service Composition (AWSC) was proposed to compose new services.
Paik proposed logical and physical web service composition and ontologies for this. A
useful composer needs a web interface for general users. So a general user interface is
designed and implemented in this thesis. This user interface generates some HTML
form based on these ontology and additional HTN ontology. |
|
| [paikic-02:2008] |
Incheon Paik, Haruhiko Takada, and Michael Huhns. Transforming Abstract
QoS Requirements, Preferences, and Logic Constraints for Automatic
Web Service Composition. In Proceedings of the IEEE International Conference
on Web Services (ICWS 2008), pages 764–765, Bejing, China, September
2008. ICWS Organizing Committee, IEEE CPS. |
| The constraints revealed during a logical composition of services are often too abstract
for automatic service composition. The abstract constraints have to be transformed
to concrete attributes. This research investigates semi-automatic transformation of
intermediate constraints to concrete constraints for automatic service composition. It
considers simultaneously a stack of composition attributes for QoS, preferences, and
logic constraints. |
|
| [paikic-03:2008] |
Hiroshi Mizugai, Incheon Paik, and Shigeru Kanemotoa. Text Categorization
Using Latent Topics as Additional Features. In Proceedings of the 2008
International Computer Symposium (ICS 2008), Damsui, Taiwan, November
2008. ICS 2008 Committee. |
| Abstract-In feature selection of text categorization, there are the methods which handle
word sense disambiguation by extracting synonymy and polysemy among words
in documents. One of the methods utilizes latent topics underlying the documents
by using a topic model. PLSA and LDA have been proposed as the representative
models. In this paper, two features which include both TF-IDF and the latent topic
values which automatically extracted from topic models were utilized for text categorization
using AdaBoost. Then, the performances were compared with the ones of
only TF-IDF features. As a result, this study confirmed effectiveness and weakness of
the augmented features. |
|
| [paikic-04:2008] |
Nenado Stankovic and Incheon Paik. MODELING A TEAM
PROJECT. In Proceedings of International Association of Technology, Education
and Development(INTED) Conference, pp. 3278-3287, Valencia, Spain,
March 2009. INTED 2009 Committee, International Association of Technology,
Education and Development. |
| Most students think of software engineering in terms of its products rather than
its art. Yet, the development of software systems is a design problem, and when
interdependent units are coherent and interfaces between them are simple and well
defined it becomes easier to acquire and apply the knowledge, and resolve conflicting
ideas, interests, and needs. Student learning should benefit from strong action-reaction
relationships and feedback loops in a team oriented environment. However, students
lack the experience and knowledge that professionals have and the process models
used by the industry may not necessarily be ideal for the university environment.
The question remains how to apply effectively these new models and technology in
education so that students get relevant experience accompanied with a better learning
outcome. |
|
| [paikic-05:2008] |
Nenado Stankovic and Incheon Paik. SOFTWARE ENGINEERING
LABORATORY. In Proceedings of International Association of Technology,
Education and Development(INTED) Conference, pp. 3258–3265, Valencia,
Spain, March 2009. INTED 2009 Committee, International Association of
Technology, Education and Development. |
| The software engineering process consists of a complex set of activities that require
experience and participation at an individual, team, and organizational level. Both
academia and industry have been contributing to the improvements of processes and
technologies. However, differences between academia and industry raise multiple questions
that should be addressed before applying the software process in the university
environment. For example, what characteristics of professional projects help students
develop their technical skills, what project attributes facilitate the fulfilment of the
educational objectives, how should undergraduate students behave, collaborate, and
contribute to increase the likelihood of a successful project outcome, etc. This paper
presents insights into these questions, and reasoning. |
Academic Activities
| [paikic-06:2008] |
Incheon Paik, Sep. 2008. Technical Program Committee Member |
| [paikic-07:2008] |
Incheon Paik, Apr. 2009. Technical Program Committee Member |
| [paikic-08:2008] |
Incheon Paik, Sep. 2008. Technical Program Committee Member |
Ph.D, Master and Bachelor Theses
| [kanemoto-03:2008] |
Takao Maki. Acoustic Feature Extraction for Rotating Machine
Anomaly Monitoring, University of Aizu, 2008. Thesis Advisor: Kanemoto, S., Paik, I. |
| [kanemoto-04:2008] |
JShouta Kojima. Relationship Between Number of Latent Topics
and Accuracy of Text Categorization, University of Aizu, 2008. Thesis Advisor: Kanemoto, S., Paik, I. |
| [kanemoto-05:2008] |
Yasuo Matsuoka. Multi-Agent Simulation of Public Opinion Development
Affected by Mass Media Input, University of Aizu, 2008. Thesis Advisor: Kanemoto, S., Paik, I. |
| [kanemoto-06:2008] |
Shouhei Nada. Automating HAZOP and FTA for Embedded Systems,
University of Aizu, 2008. Thesis Advisor: Kanemoto, S., Paik, I. |
| [paikic-09:2008] |
Mizuno Satoshi. Personalized Web Search System with Categorization
using SVM, University of Aizu, 2008. Thesis Advisor: I. Paik |
| [paikic-10:2008] |
Tanno Masato. General Framework for Automatic Web Service Composition:
Logical Composer, University of Aizu, 2008. Thesis Advisor: I. Paik |
| [paikic-11:2008] |
Mori Shinsuke. Extracting Relation of Words and Application to Web
Characteristic Analysis, University of Aizu, 2008. Thesis Advisor: I. Paik |
| [paikic-12:2008] |
Masugata Shouhe. Performance Evaluation of Recommendation System
Using Naive Bayes Classifier on RSS Web Contents, University of Aizu, 2008. Thesis Advisor: I. Paik |
| [paikic-13:2008] |
Asahara Shogo. Transformation of Abstract Constraints for Automatic
Web Service Composition, Graduate School, University of Aizu, 2008. Thesis Advisor: I. Paik |
