• Journal of Software Assessment and Valuation
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• v.16 no.1
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• pp.1-11
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• 2020

The March 29, 2016, amendment to the Civil Procedure Act introduced changes to the appraisal procedures, including new obligations for appraisers, changes in the modes of appraiser testimony, and questioning of appraisers through video conferencing, with all seemingly aimed at procedurally addressing the issues with appraisal in the context of court proceedings. The changes introduced by the amendment also affect the appraisal procedures for copyrights. In light of the above, this article examines how the amendment to the Civil Procedure Act affects the appraisal procedures for copyrights. Specific issues covered by this paper include: appointment of additional appraisers, prohibition of delegated appraisal, operation of the multiple appraisal system, disclosure of participating experts, proximity of the appraiser system, and congruence of areas of expertise.

• 한국사회복지학회:학술대회논문집
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• 2008.04a
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• pp.422-425
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• 2008

바이링걸의 인지증고령자와의 보다 유효한 커뮤니케이션의 가능성의 검토를 목적으로, 이문화를 배려한 모국어에 의한 개인 회상법을 이용한 회화를 실시했다. 회화는, 재일 코리안의 문화를 배려한 특별 양호 노인홈에 입주중이며 중도의 인지증 바이링걸 고령자 4명(모두 여성, 평균 88세)의 협력하에 실시했다. 모국어와 일본어의 장면에서, 개인 회상법에 의한 회화 내용과 감정 표출에 차이가 발생하는가의 관점에서 양 회화장면의 비교 분석을 실시했다. 그 결과, 중증의 인지증고령자라고해도 바이링걸의 특징인 자연스러운 코드 스위칭(Code-Switching;CS)가 관찰되었다. 즉, 과거의 학습이나 경험에 의해 축적된 모국의 언어 형식을 사용하는 기능이 잔존 능력으로서 잠재하고있는 것이 밝혀졌다. 덧붙여 ERiC 감정 반응 평가 척도를 이용해 관찰한 결과, 일본어의 장면보다 모국어의 장면에 대해 긍정적 감정의 풍부함이 관찰되었다. 이상으로, 바이링걸의 재일 코리안 인지증고령자 1세와 모국어를 이용한 회상법에 의한 회화는, 바이링걸의 특징을 기초로한 하나의 유효한 어프로치라고 생각된다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.04a
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• pp.295-298
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• 2007

본 논문에서는 사람의 얼굴표정을 통해 4개의 기본감정(기쁨, 슬픔, 화남, 놀람)에 대한 특징을 추출하고 인식하여 그 결과를 이용하여 감정표현 시스템을 구현한다. 먼저 주성분 분석(Principal Component Analysis)법을 이용하여 고차원의 영상 특징 데이터를 저차원 특징 데이터로 변환한 후 이를 선형 판별 분석(Linear Discriminant Analysis)법에 적용시켜 좀 더 효율적인 특징벡터를 추출한 다음 감정을 인식하고, 인식된 결과를 얼굴 표현 시스템에 적용시켜 감정을 표현한다.

• 한우개량
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• no.2 s.23
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• pp.34-39
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• 2000

• KIPS Transactions on Software and Data Engineering
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• v.9 no.2
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• pp.53-60
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• 2020

Sentiment analysis is the automated process of understanding attitudes and opinions about a given topic from written or spoken text. One of the sentiment analysis approaches is a dictionary-based approach, in which a sentiment dictionary plays an much important role. In this paper, we propose a method to automatically generate Korean sentiment lexicon from the well-known English sentiment lexicon called VADER (Valence Aware Dictionary and sEntiment Reasoner). The proposed method consists of three steps. The first step is to build a Korean-English bilingual lexicon using a Korean-English parallel corpus. The bilingual lexicon is a set of pairs between VADER sentiment words and Korean morphemes as candidates of Korean sentiment words. The second step is to construct a bilingual words graph using the bilingual lexicon. The third step is to run the label propagation algorithm throughout the bilingual graph. Finally a new Korean sentiment lexicon is generated by repeatedly applying the propagation algorithm until the values of all vertices converge. Empirically, the dictionary-based sentiment classifier using the Korean sentiment lexicon outperforms machine learning-based approaches on the KMU sentiment corpus and the Naver sentiment corpus. In the future, we will apply the proposed approach to generate multilingual sentiment lexica.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2008.04a
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• pp.115-118
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• 2008

본 논문에서는 음성으로부터 감정을 인식하고 감성적인 운율로 음성 출력을 산출해 내는 시스템을 제안 한다. 음성적인 운율로부터 감정을 인식하기 위해서 퍼지룰(rule)을 이용한다. 본 논문에서 감정 인식 시스템은 음성 샘플들로 학습 데이터를 구축하고 이를 기반으로 하여 추출된 20개의 특징 집합으로부터 가장 중요한 특징들을 자동적으로 선택한다. 화남, 놀람, 행복, 슬픔, 보통의 5가지 감정 상태를 구분하기 위하여 접근법에 기반한 퍼지를 이용하였다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.04a
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• pp.333-336
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• 2007

본 논문에서는 감정인식 분야에서 가장 많이 사용되어지는 음성신호와 얼굴영상을 가지고 4개의(기쁨, 슬픔, 화남, 놀람) 감정으로 인식하고 각각 얻어진 감정인식 결과를 Multi modal 기법을 이용해서 이들의 감정을 융합한다. 이를 위해 얼굴영상을 이용한 감정인식에서는 주성분 분석(Principal Component Analysis)법을 이용해 특징벡터를 추출하고, 음성신호는 언어적 특성을 배재한 acoustic feature를 사용하였으며 이와 같이 추출된 특징들을 각각 신경망에 적용시켜 감정별로 패턴을 분류하였고, 인식된 결과는 감정표현 시스템에 작용하여 감정을 표현하였다.

• Korean Journal of Cognitive Science
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• v.19 no.4
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• pp.477-497
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• 2008

Mood classification of blog text is an interesting problem, with a potential for a variety of services involving the Web. This paper introduces an approach to mood classification enhancements through the normalized negation n-grams which contain mood clues and corpus-specific term weighting(CSTW). We've done experiments on blog texts with two different classification methods: Enhanced Mood Flow Analysis(EMFA) and Support Vector Machine based Mood Classification(SVMMC). It proves that the normalized negation n-gram method is quite effective in dealing with negations and gave gradual improvements in mood classification with EMF A. From the selection of CSTW, we noticed that the appropriate weighting scheme is important for supporting adequate levels of mood classification performance because it outperforms the result of TF*IDF and TF.

• The Korean Society of Law and Medicine
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• v.6 no.2
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• pp.130-146
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• 2005

• The Korean Society of Law and Medicine
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• v.17 no.1
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• pp.139-168
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• 2016

Two alternative dispute resolutions for medical dispute have been operated under the States of German Medical Associations. The first is the medical mediation committee of North german area, the other is the advisory committee on medical errors in North-Rhine area. The former has focused on the mediation itself, the latter commission has focused on the expert review itself whether the physician has maintained reasonable care in diagnosis and treatment. Even though these organizations have maintained under the medical associations, to maintain the neutrality on legal and medical decision, the North German mediation committee is composed of a lawyer and a medicine doctor respectively and North-Rhine advisory committee has a lawyer chair person and four medicine doctors. The main difference of Korean Medical Dispute Mediation Agency in respect from the german system is that expert review is subordinated to the mediation process. The neutrality of expert review is suspected from the medicine doctors. The neytrality and the efficiency should be improved to treat the medical disputes. To do so, lawyer and medicine doctor work together in mediation process and lawyer should manage the expert review process but not involved. Mediation process and expert review should be checked and balanced, and they could be developed as a separated process itself.