• 지능정보연구
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• 제5권1호
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• pp.13-34
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• 1999

Building a knowledge base effectively has been an important research area in the expert systems field. A variety of approaches have been studied including rules, semantic networks, and frames to represent the knowledge base for expert systems. As the size and complexity of the knowledge base get larger and more complicated, the integration of knowledge based with database technology cecomes more important to process the large amount of data. However, relational database management systems show many limitations in handing the complicated human knowledge due to its simple two dimensional table structure. In this paper, we propose Object-Oriented Knowledge Store (OOKS), a knowledge base model on the basis of a frame sturcture using an object-oriented database. In the proposed model, managing rules for inferencing and facts about objects in one uniform structure, knowledge and data can be tightly coupled and the performance of reasoning can be improved. For building a knowledge base, a knowledge script file representing rules and facts is used and the script file is transferred into a frame structure in database systems. Specifically, designing a frame structure in the database model as it is, it can facilitate management and utilization of knowledge in expert systems. To test the appropriateness of the proposed knowledge base model, a prototype system has been developed using a commercial ODBMS called ObjectStore and C++ programming language.

• 산업공학
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• 제6권1호
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• pp.31-45
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• 1993

Setup planning for machining processes is a part of fixture planning which is also a part of process planning. A setup of a part is defined as a group of features which are machined while the part is fixtured in one single fixture. Setup planning includes a number of tasks such as the selection of setup, sequence of setups and datum frame for each setup. Setup planning is an important function in fixture planning which must be able to support and to clamp a workpiece to prevent deflections caused by machining and clamping loads. This paper presents setup planning system using expert system approach(SPES) for prismatic parts which can be machined on vertical milling machine. SPES consists of preprocessing module and main processing module. Preprocessing module executes the conversion of feature data to frame type data and the determination of setups, and main processing module executes the determination of datum frame of each setup and sequance of setups. Preprocessing module is coded by C language and main processing module is a rule-based expert system using EXSYS pro. The performance of SPES is evaluated through case studies and the results show successful work except for operation sequence of machining holes. This is due to the limited rules for machining holes.

• 대한안전경영과학회지
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• 제10권1호
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• pp.11-22
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• 2008

Humans are well-known for being adept at using intuition and expertise in many situations. However, human experts are still susceptible to errors in judgment or execution, and failure to recognize the limits of knowledge. This would happen especially in semi-structured situations, in multi-disciplinary settings, under time or other stress, under uncertainty, or when knowledge is outdated Human errors are caused by cognitive biases, attentional slips/memory lapses, cultural motivations, and missing knowledge. The purpose of this research is to study errors of human experts committed in judgment and the general idea of critiquing systems as corresponding plan. Compared to expert systems, critiquing systems are narrowly focused programs useful in limited situations for collaborating with and supporting experts in their task activities. It supports an expert by detecting the human's errors by deploying various strategies that stimulate humans to improve their performance. A variety of types of critiquing systems has spread through numerous application areas.

• 대한인간공학회지
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• 제19권3호
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• pp.23-37
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• 2000

Usability is one of the most important factors that affect customers' decision to purchase a product. Several studies have been conducted to model the relationship between the product design variables and the product usability. Since there could be hundreds of design variables to be considered in the model, a variable screening method is required. Traditional variable screening methods are based on expert opinions (Expert screening) in most Kansei engineering studies. Suggested in this study are statistical methods for screening important design variables by using the principal component regression(PCR), cluster analysis, and partial least squares(PLS) method. Product variables with high effect (PCR screening and PLS screening) or representative variables (Cluster screening) can be used to model the usability. Proposed variable screening methods are used to model the usability for 36 audio/visual products. The three analysis methods (PCR, Cluster, and PLS) show better model performance than the Expert screening in terms of $R^2$, the number of variables in the model, and PRESS. It is expected that these methods can be used for screening the product design variables efficiently.

• 한국운동역학회지
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• 제28권2호
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• pp.109-117
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• 2018

Objective: To compare head and hand movement patterns during squash forehand motions between experts and less-skilled squash players. Method: Four experts and four less-skilled squash players participated in this study. They performed squash forehand swings and a VICON motion analysis system was used to obtain displacement and velocity data of the head and right hand during the movement. Mann-Whitney U-tests were performed to compare head and hand range of motion and peak velocity, and cross-correlation was performed to analyze the head-hand coordination pattern between groups in three movement directions. Results: In terms of head and hand kinematic data, experts had greater head range of motion during down swings than less-skilled squash players. Experts seemed to reach peak hand velocity at impact by reaching peak head velocity followed by hand peak velocity within a given temporal sequence. In terms of head-hand coordination patterns, both groups revealed high positive correlations in the medial-lateral direction, indicating a dominant allocentric coordination pattern. However, experts had uncoupled coordination patterns in the vertical direction and less-skilled squash players had high positive correlations. These results indicate that the head-hand movement pattern likely an important factor squash forehand movement. Conclusion: Analysis of head and hand movement patterns could be a key variable in squash training to reach expert-level performance.

• 농업과학연구
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• 제45권4호
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• pp.879-888
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• 2018

This research was done to develop a standard management checklist for duck farmers. To this end, experts in commercial duck farming participated in making a blueprint for a standard management checklist. This expert group consisted of ten members which included the researcher, a professor, an extension advisor and leading farmers in commercial duck farming. By collecting knowledge on commercial duck farming from these experts, a management performance index was made, and checking factors were designated. As a result of this expert survey, management outcome indicators and subdivision evaluation indicators were established. To confirm these results, a first stage Delphi expert survey was carried out. As a result, the experts were not in agreement with the farming scale of 1 - 4 levels and 2 levels in the management outcome indicators. Additionally, the experts were not in agreement on the choice of feed in the feeding management and the cooperative management system as well as the utilization of agricultural information in managing the business. The factors that did not have the same opinion among experts were surveyed by a second Delphi survey asking whether experts approve the requested value. As a result of the second Delphi survey, all factors have an approval rate that have a value of more than 90%. Finally, a standard management checklist was established based on the research result.

• Asia-Pacific Journal of Atmospheric Sciences
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• 제54권4호
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• pp.563-573
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• 2018

An Expert Seasonal Prediction System for operational Seasonal Outlook (ESPreSSO) is developed based on the APEC Climate Center (APCC) Multi-Model Ensemble (MME) dynamical prediction and expert-guided statistical downscaling techniques. Dynamical models have improved to provide meaningful seasonal prediction, and their prediction skills are further improved by various ensemble and downscaling techniques. However, experienced scientists and forecasters make subjective correction for the operational seasonal outlook due to limited prediction skills and biases of dynamical models. Here, a hybrid seasonal prediction system that grafts experts' knowledge and understanding onto dynamical MME prediction is developed to guide operational seasonal outlook in Korea. The basis dynamical prediction is based on the APCC MME, which are statistically mapped onto the station-based observations by experienced experts. Their subjective selection undergoes objective screening and quality control to generate final seasonal outlook products after physical ensemble averaging. The prediction system is constructed based on 23-year training period of 1983-2005, and its performance and stability are assessed for the independent 11-year prediction period of 2006-2016. The results show that the ESPreSSO has reliable and stable prediction skill suitable for operational use.

• 한국지반신소재학회논문집
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• 제18권4호
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• pp.151-165
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• 2019

본 연구에서는 저유동성 몰탈 채움을 통한 기존 항만 구조물의 내진성능 향상을 위해 시공 위치에 따라 4가지(자중증가, 활동력 감소 등) 보강방안을 제시하였으며, 이론적 방법 및 수치해석적 방법으로 보강 시 효과(안정성, 시공성, 경제성)를 분석하여 최적 방안을 제시하였다. 본 연구 결과 인공지진파를 적용한 동적 시간이력해석을 수행한 결과 보강 후 수평변위는 보강 전 수평변위에 비해 감소하였으나 보강 방안별 지진시 변위 억제 효과는 큰 차이가 없는 것으로 평가되었다. 강도감소법과 한계평형해석법을 적용하여 원호활동 파괴특성을 검토한 결과 수동말뚝 형태의 개량 방안이 다른 보강방법에 비해 안전성이 높은 것으로 평가되었다. 이는 보강체로 인해 활동 파괴면의 전단강도가 증가하였기 때문이다. 또한, 시공성 및 경제성을 분석한 결과 토압 저감형태(Type 02)와 수동말뚝 형태(Type 03)가 우수한 것으로 나타났다. 다만, 수동말뚝 형태의 경우, 설계법 적용 사례가 미미하고, 지반 조건에 따라 시공이 불가하거나 경제성이 급격히 저감되는 등 여러 가지 제약조건을 가지고 있어 적용시 주의가 요구된다.

• 한국정보처리학회논문지
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• 제4권12호
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• pp.3010-3022
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• 1997

1970년대 후반에 제안된 전문가 시스템은 인공지능의 한 분야로서, 인간의 사고방식을 모방함으로써 다양한 분야에서 야기되는 문제들을 해결해준다. 대부분의 전문가 시스템은 추론엔진과 지식베이스등과 같은 많은 요소들로 구성 된다. 특히 전문가 시스템의 성능은 추론엔진의 효율성에 의해 좌우된다. 이러한 추론 엔진은 지식 베이스가 구축될 때, 가능한 한 적은 제약성을 가져야 함은 물론, 다양한 추론 방법을 제공해야 한다는 특징을 갖고 있어야 한다. 이 논문에서는 지식 영역과 추론 방식에 대한 범용성을제공하는 추론 엔진을 설계 및 구현하였다. 이를 위해 추론 방식은 사용자에 의해 전향추론과 후향추론 및 직첩추론이 선택적으로 수행된다. 또한 목표 영역에서의 지식 획득을 위한 쉬운 표준화와 모듈화를 가능케하는 생성 규칙을 사용하였을 뿐만 아니라 확장된 CBM을 통해 지식 베이스를 구축하였다. 아울러, Rete 패턴 매칭과 ECBM을 이용한 추론 엔진간의 성능분석을 수행하였다.

• 디지털융복합연구
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• 제20권1호
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• pp.379-389
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• 2022

본 연구는 중환자실 전담간호사 역할에 대한 중환자실 의료인의 중요도와 만족도를 파악하기 위하여 시행되었다. 일개 기관의 4개 단위 내·외과계 중환자실 소속 의사, 간호사 총 138명을 대상으로 2021년 5월 3일부터 29일까지 설문을 시행하였다. 수집한 자료는 기술통계, t-test, Importance-Performance Analysis(IPA) 방법을 사용하여 분석하였다. 중환자실 전담간호사의 역할에 대한 중요도는 5점 만점에 의사 4.18점, 간호사 3.95점, 만족도는 5점 만점에 의사 4.39점, 간호사 3.85점으로 중요도(t=2.33, p=.024)와 만족도(t=5.43, p<.001)가 두 군에서 모두 통계적으로 유의한 차이가 있었다. 두 직종 모두 전문간호실무, 전문직 활동, 조정협동, 교육상담, 연구 순으로 중요도와 만족도 순위가 일치하였다. 집중개선 영역으로는 의사는 실무 표준 및 가이드라인 개발, 전문가 역할 모델과 자기 개발과 환자/가족 교육으로 나타났고, 간호사는 의료진 교육으로 평가하였다. 중환자실 전담간호사 역할에 대하여 전문성을 강화하고, 개선이 필요한 부분의 역량을 증진시키는 전략이 필요하다고 생각된다.