• Journal of the Korea Society of Computer and Information
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• v.17 no.2
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• pp.139-147
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• 2012

In this paper, we discuss the structure of biological knowledge discovery system based on text mining and automatic inference. Given a set of biology documents, the system produces a new hypothesis in an integrated manner. The text mining module of the system first extracts the 'event' information of predefined types from the documents. The inference module then produces a new hypothesis based on the extracted results. Such an integrated system can use information more up-to-date and diverse than other automatic knowledge discovery systems use. However, for the success of such an integrated system, the precision of the text mining module becomes crucial, as any hypothesis based on a single piece of false positive information would highly likely be erroneous. In this paper, we propose a probabilistic filtering method that filters out false positives from the extraction results. Our proposed method shows higher performance over an occurrence-based baseline method.

• The Magazine of the IEIE
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• v.31 no.1
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• pp.58-72
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• 2004

Smart sensors and biochip technologies have received a great deal of attention in recent years not only because of the enormous potential markets in the healthcare expenditures but more importantly because of its great impact on the quality of human life in the future. Collaborative research among BT (Bio Technologies), IT (Information Technologies) and NT (Nano Technologies) will bring us a new paradigm of the healthcare services. Examples include disease prediction based on the genetic tests, personal medicines, point-of-care analysis, rapid and sensitive infectious disease diagnostics, environmental monitoring for chemical or biological warfares, intelligent drug delivery systems etc. In this report, recent accomplishment in the research area on biosensors, DNA chips, Protein Chips and Lab-on-a-chips are reviewed.

• 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 KOSOMBE Conference
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• v.1995 no.11
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• pp.229-232
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• 1995

• The Journal of Information Technology
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• v.9 no.3
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• pp.67-75
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• 2006

This study deals with the computing the temperature change of surface to the increment of time and diffusivity, the heat flux during irradiation of laser. In addition, the computer algorithm for computing the penetration change of the corresponding surface irradiated is developed. The result of this study shows the possibility to treatment of cancer, abnormal cell and biological tissue during irradiation of laser.

• Proceedings of the Optical Society of Korea Conference
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• 2007.07a
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• pp.35-36
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• 2007

We report a probe using a single double clad fiber (DCF) for fluorescence spectroscopy. Bidirectional separate transmission for excitation and fluorescence light in a single fiber was implemented. A DCF coupler made by side-polished method could extract none but the collected fluorescence signals propagating in inner cladding mode, thereby diminishing the interference of silica background generated by the excitation in core mode. The experimental results show that the fluorescence spectra of biological tissues obtained using the DCF probes have much less silica background than using a standard multiple-mode fiber.

• Journal of the Korean Data and Information Science Society
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• v.15 no.4
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• pp.1019-1031
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• 2004

This paper describes a new modeling method for the prediction of transmembrane protein topology. The structural regions of the transmembrane protein have been modeled by means of a multiple state hidden Markov model that has provided for the detailed modeling of the heterogeneous amino acid distributions of each structural region. Grammatical constraints have been incorporated to the prediction method in order to capture the biological order of membrane protein topology. The proposed method correctly predicted 76% of all membrane spanning regions and 92% sidedness of the integration when all membrane spanning regions were found correctly.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2000.11a
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• pp.39-40
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• 2000

Knowledge discovery has attracted increased attention in the biomedical industry in recent years is due to the increased availability of huge amount of biomedical data and the imminent need to turn such data into useful information and knowledge. In this talk, we discuss knowledge discovery techniques for gene expression analysis and MHC-peptide binding prediction in the context of discovering protein antigens and hot spots in these antigens.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.799-800
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• 2006

This thesis implemented security systems of voice awareness which is higher accessible than existing security system using biological authentication system and is inexpensive in module of security device, and has an advantage in usability. Proposed the security systems of voice awareness implemented algorithm for characteristic extraction of inputted speaker's voice signal verification, and also implemented database of access control that is founded on extractible output. And a security system of voice awareness has a function of an authority of access control to system.

• 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.