• Proceedings of the Korea Information Processing Society Conference
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• 2006.05a
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• pp.357-360
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• 2006

본 논문에서는 베이지안 네트워크 학습 방법을 이용한 비교적 적은 양의 샘플 데이터에서 현실적인 네트워크 모델 추론을 위한 효율적인 스코어링 척도를 찾는 것을 목표로 하였다. UPSM, CUPSM, DPSM, BDe(Bayesian Dirichlet) 등을 각각 적용시켜본 결과를 통해 어떤 방법이 가장 적은 샘플의 데이터, 특히 생물학적 데이터에적합한지 알아보았다.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.11a
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• pp.843-846
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• 2004

근적외선의 생체투과성이 높은 것이 주목받아, 빛에 의한 생체투시와 광CT의 가능성이 지적받아왔다. 그러나 투과율이 높은 것만으로는 체내구조를 가시화할 수 없다. 본 논문에서는 빛의 산란현상을 조사하여 확산되어 나온 빛으로부터 체내구조의 정보를 추출하는 것으로, 빛에 의한 생체투시, 나아가서는 광CT를 실현하는 것을 목-표로, 이의 기초적 해석의 결과를 소개한다.

• Proceedings of the KOSOMBE Conference
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• v.1991 no.11
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• pp.30-33
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• 1991

The object of speech processor for cochlear implants is to deliver speech information to the central nerve system. In this study we have presented the method which simulate speech processing and coding strategy for cochlear implants and simulated two different processing methods to the 12 adults with normal ears. The formant sinusoidal coding was better than the formant pulse coding In the consonant perception test and learning effects.(p < 0.05)

• Proceedings of the IEEK Conference
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• 2003.07c
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• pp.2911-2914
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• 2003

Conventionally, biological manipulations have been performed manually with long training and pretty low success rates. To overcome this problem, a novel biological manipulation system has been developed to manipulate biological cells without any interference of a human operator, In this paper, we demonstrate a development of tole-autonomous Cell Manipulation System (CMS) using an image processing at a remote site. The CMS consists of two manipulators, a plane stage, and an optical microscope. We developed deformable template-model-matching algorithm for micro objects and pattern matching algorithm of end effect for these manipulators in order to control manipulators and the stage. Through manipulation of biological cells using these algorithms, the performance of the CMS is verified experimentally.

• Korean Journal of Biological Psychiatry
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• v.20 no.3
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• pp.74-79
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• 2013

Objectives This paper aims to understand the emotional-biological pathogenesis of eating disorders, and translate the understanding into new brain directed treatments. Methods The first part of the review sets the eating behavior into the context of what is now understood about the central control of appetite and molecular biology. The second part of the review sees how emotion relates to the brain circuit involving eating disorders. Results In general, patients with anorexia nervosa restricting type were less sensitive to reward, whereas patients with bulimia nervosa and anorexia nervosa binge purging type were more sensitive to it. The emotional life of people with eating disorders centers on food, weight, and shape. The abnormalities in social and emotional functioning both precede and persist outside of eating disorders. Conclusions Research into understanding the biological framework of the brain in eating disorders suggests that abnormalities may exist in emotional and information processing. This aspect can be translated into novel brain-directed treatments, particularly in anorexia nervosa.

• Journal of the Korean Data and Information Science Society
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• v.17 no.2
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• pp.569-579
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• 2006

Recently, the amount of genome sequence is increasing rapidly due to advanced computational techniques and experimental tools in the biological area. Sequence comparisons are very useful operations to predict the functions of the genes or proteins. However, it takes too much time to compare long sequence data and there are many research results for fast sequence comparisons. In this paper, we propose a hybrid grid system to improve the performance of the sequence comparisons based on the LanLinux system. Compared with conventional approaches, hybrid grid is easy to construct, maintain, and manage because there is no need to install SWs for every node. As a real experiment, we constructed an orthologous database for 89 prokaryotes just in a week under hybrid grid; note that it requires 33 weeks on a single computer.

• Proceedings of the KIPE Conference
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• 2003.07a
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• pp.286-290
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• 2003

Accurate acquisition of surface geometries such as machined surfaces, biological surfaces, and deformed parts have been very important technique in scientific study and engineering, expecially for system design, manufacturing and inspection. Two camera method keeps accuracy more than double than mechanical method. In this paper, we describe the processes surface data of teeth for automatic processing, transformation that changes to coping data of possible numeric data form and processed inlay teeth. As the result of the Inlay manufacture, which can process with high resolution, therefore we construct the automatic processing system that depends on manual

• Proceedings of the KIEE Conference
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• 2003.07e
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• pp.120-123
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• 2003

Accurate acquisition of surface geometries such as machined surfaces, biological surfaces, and deformed parts have been very important technique in scientific study and engineering, expecially for system design, manufacturing and inspection. Two camera method keeps accuracy more than double than mechanical method. In this paper, we describe the processes surface data of teeth for automatic processing, transformation that changes to coping data of possible numeric data form, and processed inlay teeth. As the result of the Inlay manufacture, which can process with high resolution, therefore we construct the automatic processing system that depends on manual.

• Journal of Biomedical Engineering Research
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• v.2 no.2
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• pp.127-140
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• 1981

This paper describes the mechanism of information processing in the nervous system through neuron pool model which is consisted of six single neural models. In the neuron pool model, summation characteristic of stimulus satisfies those of real nervous system and output impulse rate increases linearly to the input stimulus. Occlusion phenomena of the neuron pool model is approached to those of real nervous system and also if the threshold potential within sutlirninal fringe is increased, facilitation phenomena appreared. Therefore, the results of this study suggest that we can construct large neuron pool with many single neural models and verify the mechanism of information processing in the wide part of nervous system.

• Proceedings of the KIEE Conference
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• 1998.07g
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• pp.2183-2185
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• 1998

In this paper, we propose a method of designing neural networks using biological inspired developmental and evolutionary concept. The living things are best information processing system in themselves. One individual is developed from a generative cell. And a species of this individual have adapted itself to the environment by evolution. Ontogeny of organism is embodied in cellular automata and phylogeny of species is realized by evolutionary algorithms. The connection among cells is determined by a rule of cellular automata. In order to obtain the best neural networks in the environment, we evolve the arrangement of initial cells. The cell, that is neuron of neural networks, is modeled on chaotic neuron with firing or rest state like biological neuron. A final output of network is measured by frequency of firing state. The effectiveness of the proposed scheme is verified by applying it to navigation problem of robot.