• Proceedings of the Korean Society of Sericultural Science Conference
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• 2000.10a
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• pp.23-23
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• 2000

No Abstract.See Full-text

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2019.05a
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• pp.331-332
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• 2019

• Journal of Contemporary Eastern Asia
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• v.21 no.1
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• pp.77-85
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• 2022

• Biotechnology and Bioprocess Engineering:BBE
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• v.5 no.2
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• pp.146-149
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• 2000

Biologically active porcine Interleukin-2(poIL-2) was produced from in vitro and in viva baculovirus expression system, namely the Autographa californica nuclear polyhedrosis virus (ACNPV)-cell culture system and the Hybrid nucler polthedrosis virus (HyNPV)-sillkworm larva system. The concentration of the recombinant poIL-2(rpoIL-2) in the larvae hemolymph was 1 to 3 mg/mL, which was about 7 to 20 times those of the cell culture systems. The level of this expression efficiency is equal to that with transgenic livestock, secretion products in milk.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.995-1000
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• 2003

This paper proposes the pedestrian navigation system which deals with subjective information. This system consists of the route setting part and the instruction generation part. The route setting part chooses the route with highest subjective satisfaction degree. The instruction generation part gives users the instructions based on the users' sensuous feeling of distance with linguistic expressions. Fuzzy measures and integrals are applied to the calculation of the satisfaction degree of the route which reflects the users' taste for routes. The instruction generation part has database of users' cognitive distance. Users' cognitive distances are expressed by fuzzy sets that correspond to linguistic terms. The system generates the instructions with linguistic terms which have the highest fitness value for the users' sensuous feeling of distance. This paper also performs subjective experiments in order to confirm the validity of the present system.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.2399-2404
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• 2003

This paper aims at the construction of the system that outputs subjective and consistent linguistic expressions of some pictures. Input to this system is information on some pictures and this system outputs explanations of basic contents of pictures and consistent connective relationships between pictures. The present system consists of the explaining part of basic contents and the explaining part of connective relationship. The former part explains behaviors and feelings of objects drawn in pictures. The latter one explains the matters not drawn in pictures by guessing them from pictures. This part considers consistency of connective relationships. From the viewpoint that the interpretation of pictures is dependent on individual subjectivity, the present system has individual database for individual subjectivity. In order to confirm the usefulness of the present approach, simulation experiments are performed. In the experiments the individual databases of subjects are constructed and the outputs of the system are evaluated. Experiment results show that good evaluation is obtained.

• 제어로봇시스템학회:학술대회논문집
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• 1993.10b
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• pp.562-565
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• 1993

It is well known that H$_{\infty}$ control problem involves solving an algebraic Riccati equation which includes a pair of parameters (.gamma., .epsilon.). Focusing on .epsilon. the maximum of .epsilon.. We discuss in this paper about the properties between the H$_{\infty}$ norm of a trnsfer function matrix and the parameters(.gamma., .epsilon.). We can change the algebraic relattion between .gamma. and .epsilon. by the similarity transformation of a considered system and we can find a proper transformation to get a simple quadratic algebraic equation between .gamma. and .epsilon.. This relation provide the H$_{\infty}$ norm of a transfer function.on.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.154-157
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• 2003

In order for testing faults of combinatorial logic circuit, the authors have developed a new diagnosis method: "Neural Network (NN) fault diagnosis", based on fm error back propagation functions. This method has proved the capability to test gate faults of wider range including so called SSA (single stuck-at) faults, without assuming neither any set of test data nor diagnosis dictionaries. In this paper, it is further shown that what kind of fault models can be detected in the NN fault diagnosis, and the simply modified one can extend to test delay faults, e.g. logic hazard as long as the delays are confined to those due to gates, not to signal lines.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.463-466
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• 2003

Fuzzy set expressing category in fuzzy rating, which is a kind of psychological scaling, is dependent on situations. This paper assumes that a mapping exists between fuzzy sets expressing categories in some situation and those expressing same categories in another situation. fuzzy sets expressing categories in some situation are obtained by fuzzy sets expressing categories in another situation and the mapping between them. The usefulness of the present method is confirmed by the experiments comparing fuzzy sets obtained by the presented method with those identified directly by fuzzy rating. The normalized distance is used to compare both fuzzy sets and the experimental results show that the normalized distances between both fuzzy sets are enough small and that the presented method is useful for psychological scaling.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.583-586
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• 2003

There are electric four-wheeled vehicles to assist elder people. Because of the vehicles'dynamic characteristic such as impossible to move abeam, it is difficult for these people who has little experience and has little knowledge to drive. Also to judge the future state of dynamic obstacles and to decide how to elude them safely are more difficult. We installed the predictive fuzzy controller(evaluates the future states which several kinds of operation candidates were done and chooses the best one) that modeled humans'algorithms in the system. Human predicts the future states of dynamic obstacles and chooses an operation(wait, steer, go back, etc) to elude safely. To elude dynamic obstacles flexibly, we added expert's knowledge for safe driving to this controller. In this paper, we propose the intelligent soft driving system by the controller that can elude dynamic obstacles safely, and we confirm the effectiveness by a simulation.