• Proceedings of the Korea Society of Design Studies Conference
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• 2005.10a
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• pp.254-255
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• 2005

• Honam Mathematical Journal
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• v.20 no.1
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• pp.67-78
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• 1998

• Spatial Information Research
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• v.10 no.4
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• pp.501-513
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• 2002

Eurasian otter (Lutra lutra) is one of endangered wildlife species whose population size is declining in Korea. To manage and conserve habitat for Eurasian otter, it is crucial to understand which habitat components affect otter habitat qualities. The objectives of this study were to develop a habitat suitability model of Eurasian otter in Soraksan National Park, to validate the model in Odaesan National Park. The research methods of this study were as follows. First, trace data and characters of Eurasian otter habitat were collected with Geographic Information System (GIS) data and Global Positioning System (GPS) receivers between 2000 and 2002. Second, the habitat use factors were identified as habitat characteristics of Eurasian otter and classified with habitat use and availability analyses. Third, significant factors of habitat model were extracted by Chi-square test. The last, Eurasian Otter Habitat Suitability Model (EOHSM) was employed by logistic regression method. Otter habitat use was positively associated with the reeds and shrubs areas adjacent to streams, the size of boulders, and low human disturbance in Soraksan National Park by EOHSM. This model had a classification accuracy of 74.4% at cutoff value of 0.5. Model validation showed a classification accuracy of 86.6 % at cut off value of 0.5 for otter habitat in Odaesan National Park.

• Proceedings of the Korean Society of Dyers and Finishers Conference
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• 2010.03a
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• pp.37-37
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• 2010

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.286-291
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• 2003

In this paper, new measurement and analysis system for the durability test is introduced. Not like previous development cases, newly developed system can process both primary and secondary signals effectively to enhance the analysis performance. Developed system can be easily adopted to the industrial fields with little modifications. Compared to the commercial products, the system showed satisfactory performances.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.06a
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• pp.685-690
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• 1998

This paper presents an explanation regarding on-line identification of a fuzzy system. The fuzzy system to be identified is assumed to be in the type of singletion consequent parts and be represented by a linear combination of fuzzy basis function (FBF's). For on-line identification, squared-cosine (SCOS) fuzzy basis function is introduced to reduce the number of parameters to be identified and make the system consistent and differentiable. Then the parameters of the fuzzy system are identified on-line by the gradient search method. Finally, a computer simulation is performed to illustrate the validity of the suggested algorithms.

• Journal of Mechanical Science and Technology
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• v.14 no.6
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• pp.675-689
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• 2000

Rapid design and production techniques are indispensable for the custom-made production systems. For manufacturing custom-made shoes, the shoelast should be designed rapidly from the individual foot model. In this paper, we develop an integrated system for rapid design and manufacturing of custom-tailored shoes. The foot shape measurement sub-system allows scanning a standard shoelast and an individual foot and then extracts the three-dimensional crosssectional data of the shoelast and the human foot shape from the captured image data. The shoelast design sub-system uses the scanned data to design new customized shoelast curves or surfaces with the heeling and mixing algorithms built in this system. The pattern design subsystem provides a method, which transforms a shoe-upper surface designed by a stylist into a flat-pattern that can be manufactured. We also export the surface model to an NC machine to manufacture the physical shoelast model.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.8 no.1
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• pp.18-23
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• 2008

A FCM with locational price and regional information between locations are proposed in this paper. Any point in a networked system has its own values indicating the physical characteristics of that networked system and regional information at the same time. The similarity measure used for FCM in this paper is defined through the system-wide characteristic values at each point. To avoid the grouping of geometrically distant locations with similar measures, the locational information are properly considered and incorporated in the proposed similarity measure. We have verified that the proposed measure has produced proper classification of a networked system, followed by an example of a networked electricity system.

• Proceedings of the KIEE Conference
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• 1987.11a
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• pp.316-320
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• 1987

This paper deals with expert system for power system fault restoration and accompanying numerical data processing. Nowadays, expert system which is a branch or artificial intelligence expands its application area to many fields. And it requires computer language for A.I. to be versatile. Expert system for power system handles numerous numerical data and language for A.I. has its deficiency in numerical data processing. However some recent version of the A.I. language rind ways of overcoming this dilemma by giving the way or linking conventional algorithmic languages to them. This study presents numerical data processing routines described in Turbo prolog which is run in IBM PC and linking numerical data processing routines written in Turbo C to Turbo prolog.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.513-514
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• 2023

초해상은 저해상도의 영상을 고해상도 영상으로 합성하는 기술이다. 이 기술에 딥러닝이 적용되어, 2014년에는 SRCNN(Super Resolution Convolutional Neural Network) 모델이 발표됐다. 이후에는 SRCAE(Super Resolution Convolutional Autoencoders)와 GAN(Generative Adversarial Networks)을 기반으로 한 SRGAN(Super Resolution Generative Adversarial Networks) 등, SRCNN의 성능을 능가하는 모델들이 발표됐다. ESRGAN(Enhanced Super Resolution Generative Adversarial Networks)은 SRGAN 모델의 성능을 개선했지만, 완벽한 성능을 내지 못하는 문제점이 있다. 이에 본 논문에서는 판별자(Discriminator) 구조를 변경하여 ESRGAN의 성능을 개선한다. 실험 결과, 제안하는 모델이 ESRGAN보다 더 높은 성능을 보일 것으로 기대된다.