• Proceedings of the Korea Society of Design Studies Conference
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• 2003.11a
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• pp.30-31
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• 2003

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.06a
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• pp.674-679
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• 1998

In this paepr, we proposed a new way to make a pre-pruned searching tree for GO game moves from macroscopic strategy described in linguistic expression. The strategy was a consequence of macroscopic recognition of GO game situations. The definitions of fuzzy macroscopic strategy, fuzzy tactics and tactical sequences using fuzzy set are shown and its family, so called "multi level fuzzy set". Some examples are also shown.

• Journal of the Korean Society for information Management
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• v.25 no.4
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• pp.43-66
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• 2008

Currently be proceeded a lot of researchers for 'user information demand description' for interface of an information retrieval system or Web search engines, but user information demand description for a natural language form is a difficult situation. These reasons are as they cannot provide the semantic similarity that an information retrieval model can be completely satisfied with variety regarding an information demand expression and semantic relevance for user information description. Therefore, this study using the description logic that is a knowledge representation base of OWL and a vector model-based weight between concept, and to be able to satisfy variety regarding an information demand expression and semantic relevance proposes a decision way for perfect assistances of user information demand description. The experiment results by proposed method, semantic similarity of a polyseme and a synonym showed with excellent performance in decision.

• Journal of Yeungnam Medical Science
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• v.24 no.1
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• pp.67-78
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• 2007

Background : Interleukin-18 (IL-18) is one of the principal inducers of interferon-${\gamma}$ (IFN-${\gamma}$) in lymphocytes. Materials and Methods : The effect of IL-18 on the expression of chemokine IP-10(CXCL10) mRNA in C57BL/6 mouse peritoneal macrophages was studied by using Northern blot analysis, enzyme linked immunosobent assay and electrophoretic mobility shift assay. Results : IL-18 was determined to exert no direct effect on the expression of IP-10(CXCL10) mRNA. However, IL-18 pretreatment was determined to play a cooperative role in the synergistic induction of LPS-induced IP-10(CXCL10) mRNA expression. The effect associated with IL-18 pretreatment with regard to the synergistic induction of LPS-induced IP-10 (CXCL10) mRNA expression was detected after 16 hr of IL-18 pretreatment, administered prior to LPS stimulation. The pattern of NF-${\kappa}B$ binding activity during IL-18 pretreatment with LPS stimulation was found to coincide with the expression of IP-10(CXCL10) mRNA. Conclusion : Although IL-18 alone exerts no direct effect on the expression of chemokine IP-10(CXCL10), a definite period of IL-18 pretreatment induces the synergistic expression of LPS-induced IP-10(CXCL10) mRNA. NF-${\kappa}B$ activation is a component of this synergistic effect of IL-18 pretreatment. These results provide useful information, which may facilitate the elucidation of the action mechanisms underlying IL-18 effect on the expression of IP-10(CXCL10) mRNA.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.1
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• pp.33-40
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• 2012

This paper proposes a method to implement biological early warning systems(BEWS). This system generates periodically data event using a monitoring daemon and it extracts the feature parameters from this data sets. The feature parameters are derived with 6 variables, x/y coordinates, distance, absolute distance, angle, and fractal dimension. Specially by using the fractal dimension theory, the proposed algorithm define the input features represent the organism characteristics in non-toxic or toxic environment. And to find a moderate algorithm for learning the extracted feature data, the system uses an extended learning algorithm(UChoo) popularly used in machine learning. And this algorithm includes a learning method with the extended data expression to overcome the BEWS environment which the feature sets added periodically by a monitoring daemon. In this algorithm, decision tree classifier define class distribution information using the weight parameter in the extended data expression. Experimental results show that the proposed BEWS is available for environmental toxicity detection.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.12
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• pp.2283-2288
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• 2006

As development in technology of bioinformatics recently makes it possible to operate micro-level experiments, we can observe the expression pattern of total genome through on chip and analyze the interactions of thousands of genes at the same time. Thus, DNA microarray technology presents the new directions of understandings for complex organisms. Therefore, it is required how to analyze the enormous gene information obtained through this technology effectively. In this thesis, We used sample data of bioinformatics core group in harvard university. It designed and implemented system that evaluate accuracy after dividing in class of two using Bayesian algorithm, ASA, of feature extraction method through normalization process, reducing or removing of noise that occupy by various factor in microarray experiment. It was represented accuracy of 98.23% after Lowess normalization.

• Journal of the Korean Society for information Management
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• v.24 no.3
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• pp.271-297
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• 2007

Since the use of the Internet has proliferated, the availability of illegal and harmful content has been a great concern to both governments and Internet users. Among various solutions for issues related to such content, Internet content filtering technologies have been developed for enabling users to deal with harmful content. In recent years, commercial filtering has become massively popular. Many parents, teachers and even governments have chosen commercial filtering software as a feasible technical solution for protecting minors from harmful information on the Internet. The Internet content filtering software market has grown significantly. However, Internet content filtering software has led to intense debate among civil liberties groups, They deem this to be censorship and argue that Internet filtering technologies are simply unworkable because they have inherent weaknesses. They are critical of the fact that most filtering has violated free speech rights and will eventually wipe out honor and controversial, yet innocent incidences of free speech on the Internet. In this article Internet content filtering, in particular PICS/RDF-based label filtering, so-called Internet content rating system, will be explored and its advantages and drawbacks relating to end-users' autonomy and freedom of expression will be discussed.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.1-11
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• 2014

With the drastic development of technology for almost eternally saving digital information, cases for giving sufferings to a person who deserves to enjoy privacy have increased. So I study the right to be forgotten focusing on the collision between that right and freedom of expression. I also study the concept of the right to be forgotten and its legal basis for the protection of that right. That right can be protected mainly by the self-decision making right under the Article 10, and secondly the privacy right under the Article 17 of the Constitutional Law. The Press Arbitration Law can be applied to protect the right to be forgotten, but that Law needs the revision of time-limit clause for complain, protection clause for the right to ask to delete factual past article, and the clause of staleness doctrine for the consent of giving personal information.

• Journal of dental hygiene science
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• v.14 no.2
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• pp.101-106
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• 2014

In this study, we investigated the proliferative and adhesional effect of human osteoblast like MG-63 cell treated with low intensity pulsed ultrasound (LIPUS). We tested the effectiveness of LIPUS in human osteoblast like MG-63 cells. Cell proliferation was measured using a water soluble tetrazolium salts-1 assay. The mRNA expression of alkaline phosphate, vascular endothelial growth factor (VEGF), integrin alpha 2, colla 1A1 were performed by reverse transcription-polymerase chain reaction. LIPUS was no cytotoxicity in human osteoblast like MG-63 cells. In addition, the data show that treatment with 1 MHz and 3 MHz LIPUS on increased proliferation 7 days after. There were significant increased in mRNA expression of alkaline phosphatase, osteocalcin, VEGF, integrin alpha 2 and colla 1A1 (p<0.05). Therefore, the LIPUS significantly increased differential expression of mRNA levels in osteoblast like MG-63 cell and new possibilities in dental clinical practice.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.6
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• pp.89-101
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• 2014

In this paper, we proposed a new local micro pattern, Signed Local Directional Pattern(SLDP). SLDP uses information of edges to represent the face's texture. This can produce a more discriminating and efficient code than other state-of-the-art methods. Each micro pattern of SLDP is encoded by sign and its major directions in which maximum edge responses exist-which allows it to distinguish among similar edge patterns that have different intensity transitions. In this paper, we divide the face image into several regions, each of which is used to calculate the distributions of the SLDP codes. Each distribution represents features of the region and these features are concatenated into a feature vector. We carried out facial expression recognition with feature vectors and SVM(Support Vector Machine) on Cohn-Kanade and JAFFE databases. SLDP shows better classification accuracy than other existing methods.