• 한국항공우주학회지
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• 제33권10호
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• pp.17-25
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• 2005

중첩격자계와 접합격자계를 이용한 적응격자 기법이 개발되었다. 유동장은 물체와 근접한 영역과 떨어진 영역으로 구분된다. 근접한 영역은 곡선 격자계로 채워지며 중첩격자기법으로 영역이 연결되고 떨어진 영역은 다양한 적응 단계를 가진 직교 격자계로 채워지며 접합격자기법으로 연결된다. 본 적응격자기법은 격자생성에 있어서의 유연성과 효과적인 격자적응 기능을 보여준다. 2차원 스토어 분리 해석을 포함하는 몇 가지 수치해석을 통해 본 적응격자기법의 성능을 검증하였다.

• 한국인지과학회:학술대회논문집
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• 한국인지과학회 2000년도 한글 및 한국어 정보처리
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• pp.163-168
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• 2000

기계번역에서 좋은 품질의 번역 결과를 얻기 위해서는 대상으로 하고 잇는 전문 영역에 맞게 시스템의 번역 지식을 조정해야 한다. 본 연구에서는 대상 영역 코퍼스를 이용하여 기계번역 시스템의 특정 영역화를 지원하는 워크벤치를 설계하고 구현한다. 워크벤치는 대상 영역의 코퍼스에서 대상 영역의 지식을 추출하는 영역 지식 추출기와, 추출된 지식을 사용자에게 제시하여 사용자가 사전을 편집할 수 있는 환경을 제공하는 영역 지식 검색기와 사전 편집기로 구성된다. 구혀된 워크벤치를 이용하여 일반 영역 사전을 군사 정보 영역으로 특정 영역화를 해 본 결과, 효율성과 정확성에서의 향상이 있었다.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 1998년도 가을 학술발표논문집 Vol.25 No.2 (2)
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• pp.75-77
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• 1998

Perhaps one of the most versatile approaches to learning in practical domains lies in case based reasoning. To date, however, most case based reasoning systems have tended to focus on relatively simple domains. The current study involves the development of a decision support system for a complex production process with a limited database. This paper presents a set of critical issues underlying CBR, then explores their consequences for a complex domain. Finally, the performance of the system is examined for resolving various types of quality control problems.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제12권1호
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• pp.77-85
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• 2012

This paper describes a novel approach to adaptive courseware generation. This approach adopts its structure from existing intelligent tutoring systems and introduces a new component called pedagogical scenario model to support pedagogical flexibility in the adaptation process of courseware generation system. The adaptation is carried out using Dynamic Constraint Satisfaction Problem framework, which is a variant of classical Constraint Satisfaction Problem, to deliver courseware tailored to individual learner. Such a framework provides a high level of expressiveness to deal with the particular characteristics of courseware generation problem. Further, it automatically designs a sound courseware satisfying the design constraints imposed by the domain, the pedagogical scenario and learner models.

• 임상간호연구
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• 제22권3호
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• pp.294-304
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• 2016

Purpose: This study was done to develop an evidence-based external ventricular drainage (EVD) nursing practice guideline in order to provide standardized nursing and prevent EVD related complications. Methods: We used the standardized methodology for nursing practice guideline adaptation developed by Korean Hospital Nurses Association for the guideline adaptation process in this study. Results: The newly developed EVD nursing practice guideline was adapted to the American Association of Neuroscience Nurses (AANN)'s clinical practice guideline which is 'Care of the patient undergoing intra-cranial pressure monitoring/external ventricular drainage of lumbar drainage.' There were 61 recommendations documented in the preliminary guideline all evaluated by 9 experts based on acceptability and applicability. The final practice guideline was composed of 3 domains with 57 recommendations. The three domains of nursing were the insertion, maintenance, and removal of the EVD. The number of recommendations in each domain was 8 in EVD insertions, 39 in EVD maintenance, and 10 in EVD removals. Of the 57 recommendations 3.5% were level 1, 31.5% were level 2, and 65% were level 3. Conclusion: The standardized practice guideline can improve nurses' performance and accuracy. It can also be used as the foundation for effective communication between all medical staff.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2010년도 한국컴퓨터종합학술대회논문집 Vol.37 No.1(A)
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• pp.98-99
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• 2010

• Journal of Information Processing Systems
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• 제17권5호
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• pp.867-878
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• 2021

In context awareness and user intention tasks, dataset construction is expensive because specific domain data are required. Although pretraining with a large corpus can effectively resolve the issue of lack of data, it ignores domain knowledge. Herein, we concentrate on data domain knowledge while addressing data scarcity and accordingly propose a multi-channel long short-term memory (LSTM). Because multi-channel LSTM integrates pretrained vectors such as task and general knowledge, it effectively prevents catastrophic forgetting between vectors of task and general knowledge to represent the context as a set of features. To evaluate the proposed model with reference to the baseline model, which is a single-channel LSTM, we performed two tasks: voice phishing with context awareness and movie review sentiment classification. The results verified that multi-channel LSTM outperforms single-channel LSTM in both tasks. We further experimented on different multi-channel LSTMs depending on the domain and data size of general knowledge in the model and confirmed that the effect of multi-channel LSTM integrating the two types of knowledge from downstream task data and raw data to overcome the lack of data.

• 한국정보통신학회논문지
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• 제11권3호
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• pp.600-607
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• 2007

차세대 이동 멀티미디어 통신에서는 전송지연을 줄이고 버스트 시변채널의 시간변화를 제한하기 위해 버스트 전송이 많이 사용된다. 그러나 채널적응을 위한 훈련 심볼은 짧은 길이의 버스트 데이터에 대해 심각한 문제를 야기할 수 있다. 따라서 심볼에 대한 적응 등화기의 설계에 있어서 짧은 길이의 훈련 심볼과 빠른 수렴을 갖는 적응 알고리즘이 필요로 된다. 본 논문에서는 DMWT (discrete multi-wavelet transform)과 LMS(least mean square) adaptation 을 갖는 적응 등화기를 제안한다. 제안된 등화기는 복잡성의 증가를 최소화하면서도 현재의 transform-domain equalizer보다 빠른 수렴을 갖는다.

• 한국해양바이오학회지
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• 제6권2호
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• pp.102-109
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• 2014

Cetaceans (whales, dolphins, and porpoises) are aquatic mammals that experienced drastic changes during the transition from terrestrial to aquatic environment. Morphological changes include streamlined body, alterations in the face, transformation of the forelimbs into flippers, disappearance of the hindlimbs and the acquisition of flukes on the tail. For a prolonged diving, cetaceans acquired hypoxia-resistance by developing various anatomical and physiological changes. However, molecular mechanisms underlying these adaptations are still limited. CREB-binding protein (CREBBP) is a transcriptional co-activator critical for embryonic development, growth control, metabolic homeostasis and responses to hypoxia. Natural selection analysis of five cetacean CREBBPs compared with those from 15 terrestrial relatives revealed strong purifying selection, supporting the importance of its role in mammals. However, prediction for amino acid changes that elicit functional difference of CREBBP identified three cetacean specific changes localized within a region required for interaction with SRCAP and in proximal regions to KIX domain of CREBBP. Mutations in CREBBP or SRCAP are known to cause craniofacial and skeletal defects in human, and KIX domain of CREBBP serves as a docking site for transcription factors including c-Myb, an essential regulator of haematopoiesis. In these respects, our study provides interesting insights into the functional adaptation of cetacean CREBBP for aquatic lifestyle.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제3권3호
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• pp.285-307
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• 2009

This paper introduces DICE, a Domain-Independent text Classification Engine. DICE is robust, efficient, and domain-independent in terms of software and architecture. Each module of the system is clearly modularized and encapsulated for extensibility. The clear modular architecture allows for simple and continuous verification and facilitates changes in multiple cycles, even after its major development period is complete. Those who want to make use of DICE can easily implement their ideas on this test bed and optimize it for a particular domain by simply adjusting the configuration file. Unlike other publically available tool kits or development environments targeted at general purpose classification models, DICE specializes in text classification with a number of useful functions specific to it. This paper focuses on the ways to locate the optimal states of a practical text classification framework by using various adaptation methods provided by the system such as feature selection, lemmatization, and classification models.