• 대한간호학회지
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• 제7권1호
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• pp.88-98
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• 1977

This study was designed to identify a more effective method of nursing interview in gathering informations by comparing the two, the structured and unstructured methods. May through October, 1976, 40patients on psychiatric wards of Korea University Hospital and National Mental Hospital, Seoul, were sampled and interviewed on their admission/within one week of admission. Both methods were used simultaneously by different interviewers ; 48 hour interval were kept between the two approaches of interview. Contents of informations gathered were grouped according to the criteria developed by the researcher, frequency, percentile score and the means were scored, and the two methods were compared; the amount of information gathered, number of questions used, time spent and the general response towards the methodologies. Results of the study are summarized as follows ; 1. 1. 5 times as many informations were gathered through the structured interview. (1366 ; 849) 2. 68.32% of informations gathered through the unstructured interview and 42.46% of the structured interview revealed to be overlapping; through structured interview, more unique informations (57.54%) were gathered. 3. The average of 33.25 minutes were consumed for the structured interview while 95, 50 minutes for the unstructured. Much higher time consumption is revealed in the unstructured. 4. Majority of patients showed positive response towards both approaches of interview (90% each), however, interviewers responded to experience of certain degree of tension (stress) in the unstructured method (35%) 5. The average of 0.88 question were used to gather one information in the structured while 1.87questions for the unstructctured were used. 6. The average of 0.97 minutes were consumed to gather one information in the structured while 4.50minutes for the unstructured. 7. The average of 1.11 minutes were consumed for one question for the structured while 2.41 minutes for the unstructured. The results of the study revealed that the structured interview were more effective in gathering informations; a larger quantity of informations were gathered in shorter time. Recommendations for further in investigations are as follows ; 1. Comparative analysis of informations gathered through the two methods by experienced professional nurse- interviewers is recommended. 2. Comparative analysis of the quality of informations is recommended. 3. Comparative analysis of the interviewing process (interactions) in relation to the characteristics of patients'health problems is recommended.

• 대한조선학회논문집
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• 제54권2호
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• pp.83-89
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• 2017

Numerical simulations of ship resistance have been performed to compare spatial characteristics of Courant number when using structured and unstructured meshes. When Euler scheme was used for time integration, the structured mesh provided a more efficient calculation because the calculation time interval was larger than that of unstructured mesh. The automatic generation of very small meshes in the unstructured mesh was mainly responsible for the limitation of calculation time interval. When local time stepping Euler scheme was applied, however, the ship resistance of unstructured mesh showed a rapid convergence while a slow convergence of ship resistance in structured mesh was caused by the small time interval in bulbous bow.

• 한국빅데이터학회지
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• 제6권2호
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• pp.169-179
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• 2021

소비자의 식품소비행동은 소비자 패널 데이터와 같은 정형 데이터 뿐 아니라 매스미디어와 소셜미디어(SNS) 등 비정형 데이터로부터 영향을 받을 가능성이 높아지고 있다. 본 연구에서는 식품소비 관련된 정형 데이터와 비정형 데이터를 연계한 융합데이터 셋에 대하여 딥러닝 기반의 소비예측 모델을 생성하고 이를 검증한다. 연구의 결과는 정형 데이터와 비정형 데이터를 결합할 때 모델 정확도가 향상되었음을 보여주었다. 또한 비정형 데이터가 모델 예측 가능성을 향상시키는 것으로 나타났다. 변수들의 중요도를 식별하기 위해 SHAP 기법을 사용한 결과 블로그 및 비디오 데이터 관련 변수가 상위 목록에 있었고, 파프리카 구매 금액과 양의 상관관계가 있음을 알 수 있었다. 또한 실험 결과에 따르면 머신러닝 모델이 딥러닝 모델보다 높은 정확도를 보였고, 기존의 시계열 분석 모델링에 대한 효율적인 대안이 될 수 있음을 확인하였다.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2006년도 PARALLEL CFD 2006
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• pp.299-300
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• 2006

• 한국환경교육학회지:환경교육
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• 제20권2호
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• pp.1-15
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• 2007

The Environmental problem solving model is an instructional strategy to accomplish the aim of environmental education through investigation of environmental problems and issues of the community. This study is intended to compare the instructional effect of the structured model with the unstructured model of environmental problem solving. The experimental group received the structured instruction and the control group received the unstructured instruction. There did not appear to be any significant difference between the groups in regard to knowledge but in regard to knowledge of environmental issues, the experimental group was more effective than the control group. No significant differences existed between the groups in attitude. In regard to investigating skill and evaluation of environmental issues, the experimental group was significantly more effective than the control group. The experimental group was significantly more effective than the control group in regard to environmental action skills. To foster responsible environmental behavior, environmental education a number of methodologies must be considered and learners must be trained to become problem-solving citizens. It was noted that the structured instruction was more effective than the unstructured instruction in middle school where environmental issues were not taught as an independent subject. We conclude that environmental education must be systematically constructed and taught in a manner which takes into account both its goals and the characteristics of the various learners. We conclude that environmental education must be systematically constructed and taught in a manner which takes into account both its internal goals and the situations within which various types of learners explore environmental issues and solutions.

• 한국지능시스템학회논문지
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• 제14권3호
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• pp.342-348
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• 2004

As the advent of the Internet, B2B negotiation process on the Internet has been given attention from both researchers and practitioners. However, literature still shows that only structured conditions have been explicitly considered, despite the fact that unstructured conditions should be rendered as well. In this sense, this paper proposes a new negotiation support mechanism to incorporate causal relationships between structured and unstructured conditions in the process of B2B negotiation. Fuzzy cognitive map was used as a main source of causal knowledge as well causal inference engine. A prototype named CAKES-NEGO was developed to perform experiments with an illustrative example. Results revealed the robustness of our proposed negotiation support mechanism.

• 한국멀티미디어학회논문지
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• 제20권1호
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• pp.66-73
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• 2017

Due to the recent rapid changes in society and wide spread of information devices, diverse digital information is utilized in a variety of economic and social analysis. Information related to the crime statistics by type of crime has been used as a major factor in crime. However, statistical analysis using only the structured data has the difficulty in the investigation by providing limited information to investigators and users. In this paper, structured data and unstructured data are analyzed by applying Korean Natural Language Processing (Ko-NLP) and the Latent Semantic Analysis (LSA) technique. It will provide a crime profile optimum system that can be applied to the crime profiling system or statistical analysis.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 1998년도 추계 학술대회논문집
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• pp.42-47
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• 1998

The pressure-based methods are very popular in CFD because it requires less computer core memory compared to other coupled or density-based solvers. Currently structured-mesh methodology based on pressure-based algorithm is quite mature to apply to the practical problems. The unstructured mesh method needs much more computer memory than the structured-mesh method. However the pressure-based method utilizing the sequential approach does not require very large memory used for unstructured-mesh density-based solvers. The present study has developed the unstructured grid pressure-based method. Cell-centered finite volume method was selected due to robustness for imposing various boundary conditions and easy implementation of higher-order upwind scheme. The predictive capability of present method has validated against several benchmark problems.

• 한국IT서비스학회지
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• 제15권1호
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• pp.197-210
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• 2016

With the advent of text analytics, VOC (Voice of Customer) data become an important resource which provides the managers and marketing practitioners with consumer's veiled opinion and requirements. In other words, making relevant use of VOC data potentially improves the customer responsiveness and satisfaction, each of which eventually improves business performance. However, unstructured data set such as customers' complaints in VOC data have seldom used in marketing practices such as predicting service time as an index of service quality. Because the VOC data which contains unstructured data is too complicated form. Also that needs convert unstructured data from structure data which difficult process. Hence, this study aims to propose a prediction model to improve the estimation accuracy of the level of customer satisfaction by combining unstructured from textmining with structured data features in VOC. Also the relationship between the unstructured, structured data and service processing time through the regression analysis. Text mining techniques, sentiment analysis, keyword extraction, classification algorithms, decision tree and multiple regression are considered and compared. For the experiment, we used actual VOC data in a company.

• 디지털콘텐츠학회 논문지
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• 제19권1호
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• pp.67-73
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• 2018

최근 대규모 복합화된 형태로 나타나는 재난을 효과적으로 관리하기 위하여 기존 재난관리 담당자들이 재난 상황관리를 위해 참조하고 있는 재난 메뉴얼, 관련 법규 등의 비정형 텍스트 형태의 재난정보와 재난 유관기관 시스템에 구축되어 있는 정형의 다양한 재난정보의 상호 연동 체계를 구축하고, 이를 통해 재난 관련 유관기관 간 공동활용이 가능한 재난정보 공유시스템 구축 방법론을 제안하고자 한다. 특히 최근 들어 경주, 포항 등 발생 빈도가 급격하게 늘어나고 있는 지진을 중심으로 지진 메뉴얼, 지진 화산재해대책법 등 비정형 정보와 지진 관련 유관시스템 내 정형 지진정보를 대상으로 정형 비정형 정보 연계를 수행하고 최종적으로는 연계된 정보를 기반으로 지진 상황관리에 필요한 정보를 제공하는 서비스를 제안하였다. 구축된 서비스를 통해 업무담당자는 비정형 정형 정보가 융합된 범부처 및 기관의 지진정보를 획득하여 효과적인 지진 상황관리를 수행할 것으로 기대된다.