• Korean Journal of Cognitive Science
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• 제10권2호
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• pp.27-34
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• 1999

The main purpose of this paper is to propose a general dialogue flow in 'the a appointment scheduling dialogues' in German using the concept of dialogue acts. A basic a assumption of this research is that dialogue acts contribute to the improvement of a translation system. They might be very useful to solve the problems that syntactic and semantic module could not resolve using contextual knowledge. The classification of the dialogue acts was conducted as a work of VERBMOBIL project and was based on real dialogues transcribed by experts. The real dialogues were analyzed in terms of the dialogue acts. We empirically analyzed the sequences of the dialogue acts not only in a series of dialogue turns but also in one dialogue turn. We attempted to analyZe the sequences in one dialogue turn additionally because the dialogue data used in this research showed some difference from the ones in other existing researches. By examining the sequences in dialogue acts. we proposed the dialogue flowchart in 'the a appointment scheduling dialogues' 'Based on the statistical analysis of the sequences of the most frequent dialogue acts. the dialogue flowcharts seem to represent' the a appointment scheduling dialogues' in general. A further research is required on c classification of dialogue acts which was a base for the analysis of dialogues. In order to e extract the most generalized model. we did not subcategorize each dialogue acts and used a limited number of items of dialogue acts. However. generally defined dialogue acts need to be defined more concretely and new dialogue acts for specific situations should be a added.

• The Journal of Korean Institute of Communications and Information Sciences
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• 제22권5호
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• pp.1058-1063
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• 1997

Though the Preparata code of length 8 over $Z_{4}$ satisfies the chain condition, the Preparata code of length 16 or 32 over $Z_{4}$ does not satisfy the chain condition. In this paper we show that the Preparata code of length $2^{m}$ over $Z_{4}$ does not satisfy the chain condition for m=4, 5, 6 and 8 by investigating relations between weight hierarchy and chain condition.

• Journal of the Computational Structural Engineering Institute of Korea
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• 제25권1호
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• pp.19-26
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• 2012

In this study the progressive collapse behavior of a moment frame with infill steel panels is evaluated using nonlinear static pushdown analysis. The analysis model is a two story two span structure designed only for gravity load, and the load-displacement relationship is obtained with the center column removed. To obtain local stress and strain as well as the global structural behavior, finite element analysis is conducted using ABACUS. Through the analysis the effect of the span length and the thickness of the steel plate on the progressive collapse behavior of the structure is investigated, and the effect of the dividing the infill panel using stud columns is also studied. According to the analysis results, the thickness of the panels required to prevent progressive collapse increases as the span length increases, and as the number of panel division increases the progressive collapse resisting capacity increases slightly but the effect is not significant. It is also observed that when the infill panel is installed in only a part of the span the progressive collapse resisting capacity is somewhat increased.

• The KIPS Transactions:PartD
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• 제14D권1호
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• pp.9-20
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• 2007

Groups of genes control the functioning of a cell by complex interactions. Such interactions of gene groups are tailed Gene Regulatory Networks(GRNs). Two previous data mining approaches, clustering and classification, have been used to analyze gene expression data. Though these mining tools are useful for determining membership of genes by homology, they don't identify the regulatory relationships among genes found in the same class of molecular actions. Furthermore, we need to understand the mechanism of how genes relate and how they regulate one another. In order to detect regulatory relationships among genes from time-series Microarray data, we propose a novel approach using frequent pattern mining and chain rules. In this approach, we propose a method for transforming gene expression data to make suitable for frequent pattern mining, and gene expression patterns we detected by applying the FP-growth algorithm. Next, we construct a gene regulatory network from frequent gene patterns using chain rules. Finally, we validate our proposed method through our experimental results, which are consistent with published results.

• Journal of the Korean Geographical Society
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• 제45권5호
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• pp.592-608
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• 2010

This study investigates the diurnal pattern of transit ridership in the Metropolitan Seoul area. For the purpose, we use a weekday Smart Card passenger transaction data in 2005. Eleven passenger trip patterns are found from 2.74 million passengers moving on the Metropolitan Seoul Metro system. Among them, we analyze 2.4 million passengers blonging to five trip types having only one or two transaction record during a day. A total of 357 metro stations are classified to four types according to their diurnal pattern of passenger riderships. We analyze the relationships between passenger's trip chain patterns and subway station's diurnal transit ridership patterns. The result shows that the ratio of the number of passengers of particular time of the day is hierarchically related with trip chain patterns.

• Journal of the korean academy of Pediatric Dentistry
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• 제34권1호
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• pp.130-139
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• 2007

This study investigated the relationship between dental caries and various oral factors in subjects with Down's syndrome. We compared 25 subjects with Down's syndrome with 63 healthy control. The dental caries index and plaque index were examined, and the total salivary immunoglobulin A and S. mutans specific salivary immunoglobulin A concentration were measured using ELISA. The S. mutans counts, Lactobacillus counts and buffer capacity were measured with Dentocult test medium. The decayed and filled surface index of deciduous teeth in subjects with Down's syndrome was lower than in controls(p<0.001). The plaque index and total salivary immunoglobulin A concentration showed no difference, S. mutans specific salivary immunoglobulin A concentration and buffer capacity in subjects with Down's syndrome were lower than in controls(p<0.001). There was no significant difference between two groups in the S. mutans counts and Lactobacillus counts. In 9-11 year age group, S. mutans counts in subjects with Down's syndrome was lower than in controls(p<0.001) and S. mutans specific salivary immunoglobulin A concentration was lower(p<0.05). There was a high correlation among deciduous dental caries index and buffering capacity and S. mutans counts.

• Journal of the korean academy of Pediatric Dentistry
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• 제32권1호
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• pp.67-74
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• 2005

The aim of this study was to analyze the relationship between salivary flow, salivary buffer capacity, level of mutans streptococci and dental caries experience in Korean dental college students. A total of 81 students of the school of dentistry, Chonbuk national university, mean age of 26.1 years, were subjected to oral examination to establish the DMFT and DMFS according to WHO guidelines. Saliva samples from the students were collected for quantitating stimulated and unstimulated salivary flow rate. Buffering capacity was estimated using a commercial colorimetric strip test, and number of mutans streptococci was determined from stimulated saliva using a strip mutans test. The means of DMFT and DMFS were 6.57 and 12.65, respectively. The stimulated salivary flow rate was correlated with DMFT(${\acute{o}}\;=\;-0.219$) and high levels of salivary mutans streptococci were significantly correlated with higher DMFT and DMFS scores(P<0.05). Level of mutans streptococci was significantly correlated with dental caries experience, in both DMFT and DMFS score, and buffering capacity was inversely correlated to DMFT score. However, unstimulated salivary flow rate was not correlated with caries experience.

• Journal of Korean Society of Transportation
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• 제25권6호
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• pp.171-183
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• 2007

Urban transport demand is derived from activity participation. A variety of individual daily activities based on the decisions on activity participation result in collective spatial behavior. The travel derived from the effort to overcome the spatially distributed locations of adjacent activities represents the detailed structural relationships among activities. An activity-based approach provides an important framework of analyzing contemporary urban daily life in the sense that it studies the interaction between individuals' daily decision making and social practice in time and space, on the one hand, and socio-spatial environment on the other. The current study identifies representative patterns of urban daily activity implementations and analyzes the correlation between representative patterns and individuals' characteristics and contextual characteristics. The study shows that urban daily activity patterns can be grouped in a limited number of representative patterns, which are systematically correlated with socio-spatial characteristics. The results provide related transportation policy implications.

• Journal of Korean Society of Steel Construction
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• 제21권2호
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• pp.155-164
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• 2009

In this study, a computationally efficient parallel axial-flexural plastic hinge model is proposed for nonlinear dynamic progressive collapse analysis of welded steel moment frames. To this end, post-yield flexural behavior and the interaction of bending moment and axial force of the double-span beams in the column's missing event was first investigated by using material and geometric nonlinear parametric finite element analysis. A piece-wise linear parallel point hinge model that captures the moment-axial tension interaction was then proposed and applied to nonlinear dynamic progressive collapse analysis of welded steel moment frames with the use of the OpenSees Program. The accuracy as well as the efficiency of the proposed model was verified based on the inelastic dynamic finite element analysis results. The importance of including the catenary action effects for proper progressive collapse resistant analysis and design was also emphasized.

• Annual Conference on Human and Language Technology
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• 한국정보과학회언어공학연구회 2023년도 제35회 한글 및 한국어 정보처리 학술대회
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• pp.648-653
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• 2023

관계 추출 태스크는 주어진 텍스트로부터 두 개체 간의 적절한 관계를 추론하는 작업이며, 지식 베이스 구축 및 질의응답과 같은 응용 태스크의 기반이 된다. 최근 자연어처리 분야 전반에서 생성형 거대 언어모델의 내재 지식을 활용하여 뛰어난 성능을 성취하면서, 대표적인 정보 추출 태스크인 관계 추출에서 역시 이를 적극적으로 활용 가능한 방안에 대한 탐구가 필요하다. 특히, 실 세계의 추론 환경과의 유사성에서 기인하는 저자원 특히, 제로샷 환경에서의 관계 추출 연구의 중요성에 기반하여, 효과적인 프롬프팅 기법의 적용이 유의미함을 많은 기존 연구에서 증명해왔다. 따라서, 본 연구는 한국어 관계 추출 분야에서 거대 언어모델에 다각적인 프롬프팅 기법을 활용하여 제로샷 환경에서의 추론에 관한 비교 연구를 진행함으로써, 추후 한국어 관계 추출을 위한 최적의 거대 언어모델 프롬프팅 기법 심화 연구의 기반을 제공하고자 한다. 특히, 상식 추론 등의 도전적인 타 태스크에서 큰 성능 개선을 보인 사고의 연쇄(Chain-of-Thought) 및 자가 개선(Self-Refine)을 포함한 세 가지 프롬프팅 기법을 한국어 관계 추출에 도입하여 양적/질적으로 비교 분석을 제공한다. 실험 결과에 따르면, 사고의 연쇄 및 자가 개선 기법 보다 일반적인 태스크 지시 등이 포함된 프롬프팅이 정량적으로 가장 좋은 제로샷 성능을 보인다. 그러나, 이는 두 방법의 한계를 지적하는 것이 아닌, 한국어 관계 추출 태스크에의 최적화의 필요성을 암시한다고 해석 가능하며, 추후 이러한 방법론들을 발전시키는 여러 실험적 연구에 의해 개선될 것으로 판단된다.