• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.891-894
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• 2021

온톨로지(Ontology)는 사람과 컴퓨터, 또는 컴퓨터 간의 개념 및 개념 표현을 공유하기 위한 개념화의 명시적 규약을 의미한다. 기존의 온톨로지 생성은 전문가에 의한 수작업에 의존되어 비용과 시간이 많이 드는 한계가 있다. 이에 본 논문에서는 딥러닝(Deep learning)기반의 기계번역 개념을 적용한 사례를 활용하여, 수작업의 의존성이 감소한 방법으로 텍스트로부터 온톨로지를 생성하는 방법을 구현하였다. 특히 기존 연구에서 제안한, 딥러닝을 이용해 텍스트로부터 지식 표현 시퀀스를 추출한 정보를 활용하여, 지식 표현 구조를 온톨로지로 변환하고 지식 베이스로 확장하는 과정을 통해 자동화 된 Text-to-Ontology 변환 방법론을 제안하고자 한다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.2
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• pp.465-470
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• 2015

The curing of epoxy asphalt mixture depends on the chemical reaction of epoxy resin and the curing agent. The curing level of epoxy asphalt mixture needs to be predicted in order to decide traffic opening time and to establish further construction plans. In this study, chemical analysis of the prediction model was executed to expand the applicability of the previous prediction model. Consequently, the curing level prediction model of epoxy asphalt concrete mixture was proposed using the concentration ratio and the acid value ratio. According to the results of outdoor curing experiments, the final prediction model showed that the correlation coefficient is greater than 0.971. Precise prediction results of different composition epoxy asphalt were obtained by reflecting the chemical composition ratios in the curing level prediction model.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2018.06a
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• pp.322-325
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• 2018

영상의 관심 영역 검출은 영상처리 및 컴퓨터 비전 응용 분야에서 꾸준하게 사용되고 있는 기법이다. 특히, 근래 심층신경망 연구의 급격한 발전에 힘입어 심층신경망을 이용한 관심 영역 검출 기법에 대한 연구가 활발하게 진행되고 있다. 한편 Fully Convolutional Network(이하 FCN)은 본래 심층 예측(Dense Prediction)을 통한 의미론적 영상 분할(Semantic Segmentation)을 수행하기 위해 제안된 심층신경망 구조이다. FCN을 영상의 관심 영역 검출에 활용하여도 기존 관심 영역 검출 기법과 비교하여 충분히 좋은 성능을 발휘할 수 있다. 그러나 FCN에 사용되는 convolution 층의 수가 많고, 이에 따른 가중치(weight)의 개수도 기하급수적으로 늘어나 검출에 필요한 시간 복잡도가 매우 크다는 문제점이 있다. 따라서 본 논문에서는 기존 FCN이 가진 검출 시간 복잡도의 문제점을 convolution 층의 가중치 관점에서 해결하고자 이를 조절하여 FCN의 관심 영역 검출 속도를 향상시키는 방법을 제안한다. 적절한 convolution 층의 가중치를 조절함으로써, MSRA10K 데이터셋 환경에서 검출 정확도를 크게 저하시키지 않고도 최대 약 20.5%만큼 검출 속도를 향상시킬 수 있었다.

• The Journal of the Korea Contents Association
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• v.10 no.6
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• pp.249-257
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• 2010

In performance art, actors on the stage play an important role. The purpose of performance art is not in producing expression of superficial or trite pleasure, but in presenting a source of philosophical catharsis regarding essence of a human life. It is actors' responsibility to bring such expression onto the stage. Performance art not only involves technical skills but should be a cultural expression to represent tradition, spirituality and identity of a nation. In Korea, performance art tends to follow Western methods of expression. It is desirable to set a future direction to further develop methodology of expression in performance art. As part of such effort, the research examines how the rhythm of traditional Korean dance and dimension of time and space in performance art are effectively visualized in their relation to "stage direction." The research illustrates characteristics and concepts of Korean dances in terms of inhalation in deliberate hypogastric breathing ("danjeon') and rhythms of exhalation (gutgeori, jajinmori, huimori). Also, the research aims to enhance dramatic effect on the stage, which is distinguished from presentation of ordinary actions, by emphasizing dimension of time and space in visualizing expression.

• Journal of Korean Philosophical Society
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• v.126
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• pp.235-261
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• 2013

This paper aims to cast light upon the urgent problem philosophically the reason why local or locality can not help being raised as the problem of ontological 'between' in human life, in the post modern discourse trying to surmount the general modern system in modern times and it. Therefore, it is necessary that we should inspect the quality of human life, raising a basic question about the existence of human among many questions raised in the process of the discussion of modern and post modern(2). In addition, in the process, we should look into closely what relations local or locality has with the quality of human life, because only in the local, human can be the subject who is making meaning the time and the places, being tangled with the trace of various texture and wrinkles from life. Also, it is here, in the local that subjects can identify to live together through the intersubjective network(3). When these conditions are met, local or locality will emerge as the possibility of locality humanities, as ontological 'between' in human life, where true humane and social life is possible(4).

• Phonetics and Speech Sciences
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• v.13 no.3
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• pp.1-13
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• 2021

This study examined the characteristics of linguistic prosody in terms of cerebral lateralization in three groups of 9 healthy speakers and 14 speakers with a history of stroke (7 with left hemisphere damage (LHD), 7 with right hemisphere damage (RHD)). Specifically, prosodic characteristics related to speech rate, duration, pitch, and intensity were examined in three types of interrogative sentences (wh-questions, yes-no questions, alternative questions) with auditory perceptual evaluation. As a result, the statistically significant key variables showed flaws in production of the linguistic prosody in the speakers with LHD. The statistically significant variables were more insufficiently produced for wh-questions than for yes-no and alternative questions. This trend was particularly noticeable in variables related to pitch and speech rate. This result suggests that when Korean speakers process linguistic prosody, such as that of lexico-semantic and syntactic information in interrogative sentences, the left hemisphere seems to be superior to the right hemisphere.

• Journal of the Korean earth science society
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• v.31 no.1
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• pp.106-117
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• 2010

The purpose of this study was to explore students' argumentation in perspectives of epistemology and psychology and to find out how teacher can promote students' abilities of developing argumentation. The 60 hours of lessons from the interaction between one science teacher (Mr. Physics, who had 35 years of teaching experience) and his 26 students were observed, transcribed, and analyzed using two different analyzing tools; one is from the perspective of epistemology and the other from the perspective of psychology, which can portray how argumentation is constructed. Mr. Physics created the environment where students could promote the quality of scientific argumentation through explicit teaching strategy, Claim-Evidence Approach. The low level of argumentation was portrayed through examples from students' prior knowledge or experience in the form of an Appeal to the instance operation and the Elaboration reasoning skill. Students' own claims were developed through application of knowledge in a different context in the form of an Induction operation and Generativity reasoning skill. Higher level of argumentation was portrayed through Consistency operation with other knowledge or experience and Explanation reasoning skills based on students' ideas with more active teacher's inputs. The teacher in this study played a role as a helper for students to enact identities as competent "sense makers," as an elaborator rather than evaluator to extend students' ideas, and as a mentor to foster and monitor the students' development of ideas of a higher quality. It is critical for teachers to understand the nature of argumentation, which in turn is connected to their explicit teaching strategy with the aim of providing opportunities where students can understand the science enterprise.

• Journal of Digital Contents Society
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• v.11 no.3
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• pp.375-383
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• 2010

In developing question-answering (QA) systems, it is hard to analyze natural language questions syntactically and semantically and to find exact answers to given query questions. In order to avoid these difficulties, we propose a new style of question-answering system that automatically generate natural language queries and can allow to search queries fit for given keywords. The key idea behind generating natural queries is that after significant sentences within text documents are applied to the named entity recognition technique, we can generate a natural query (interrogative sentence) for each named entity (such as person, location, and time). The natural query is divided into two types: simple type and sentence structure type. With the large database of question-answer pairs, the system can easily obtain natural queries and their corresponding answers for given keywords. The most important issue is how to generate meaningful queries which can present unambiguous answers. To this end, we propose two principles to decide which declarative sentences can be the sources of natural queries and a pattern-based method for generating meaningful queries from the selected sentences.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.4
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• pp.91-103
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• 2024

A tourist destination ranking system was designed that employs a semantic search to extract information with reasonable accuracy. To this end the process involves collecting data, preprocessing text reviews of tourist spots, and embedding the corpus and queries with SBERT. We calculate the similarity between data points, filter out those below a specified threshold, and then rank the remaining tourist destinations using a count-based algorithm to align them semantically with the query. To assess the efficacy of the ranking algorithm experiments were conducted with four queries. Furthermore, 58,175 sentences were directly labeled to ascertain their semantic relevance to the third query, 'crowdedness'. Notably, human-labeled data for crowdedness showed similar results. Despite challenges including optimizing thresholds and imbalanced data, this study shows that a semantic search is a powerful method for understanding user intent and recommending tourist destinations with less time and costs.

• Clinical and Experimental Pediatrics
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• v.51 no.11
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• pp.1179-1184
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• 2008

Purpose : Pulmonary interstitial emphysema (PIE) primarily occurs in preterm infants suffering from respiratory distress syndrome (RDS) and kept under mechanical ventilator care. Therefore, this study aimed to examine various risk factors for PIE, to identify conditions that can decrease the possibility of PIE development. Methods : PIE classification was conducted for 183 patients diagnosed to have RDS and receiving mechanical ventilator care with pulmonary surfactant between March 2000 and February 2007. The characteristics of each patient were analyzed through retrospective examination of their medical histories. Results : Among 183 patients, 17 had PIE; all factors, including birth weight, gestational age, RDS grade III or above, chorioamnionitis, and premature rupture of membranes, were statistically significant (P<0.05). The period of mechanical ventilator use was statistically significant, but the peak mean airway pressure and peak partial pressure of inspired oxygen were not. PIE mainly occurred on the right side or both sides rather than the left side and mostly developed within 72 h. The PIE group showed higher mortality rate than the control group, and the major cause of mortality was pneumothorax. Conclusion : Risk factors for PIE in infants suffering from RDS and kept under mechanical ventilator care include low gestational age, low birth weight, chorioamnionitis, and premature rupture of membranes. If any risk factors are noted, the infant must be observed closely for at least 72 h after birth.