• 대한통합의학회지
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• 제12권1호
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• pp.151-159
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• 2024

Purpose : This study was conducted to investigate correlation between patient satisfaction and rehabilitation motivation in a physical therapy environment. Methods : This study conducted a survey on musculoskeletal and neurological patients receiving rehabilitation treatment at a hospital. The subjects of the study were patients who were currently receiving rehabilitation treatment, either hospitalized or outpatient. 234 people were collected. A questionnaire was consisted of a total of 55 questions, including 27 questions about motivation for rehabilitation, 14 questions about physical therapy service environment, and 14 questions about patient satisfaction and intention to revisit. The detailed items in rehabilitation motivation consisted of 8 questions about task-oriented motivation, 7 questions about change-oriented motivation, 4 questions about obligatory motivation, 4 questions about external motivation, and 4 questions about intrinsic motivation, and in the physical therapy service environment, 4 questions about facility service and therapist service. , 6 questions, 4 questions about services used, 3 questions about friendliness, 4 questions about professionalism, 3 questions about treatment satisfaction, and 2 questions each about repeat visit and recommendation. Results : Facility service (r=.21) was highly correlated for task-oriented motivation, therapist service (r=.22) for change-oriented motivation, therapist service (r=.31) for mandatory motivation, therapist service (r=.19) for external motivation, and facility service (r=.56) for internal motivation. Revisit for task-oriented motivation (r=.47) is kind to change-oriented motives (r=-.13) was highly correlated with kindness (r=.19) for mandatory motives, recommendation (r=.14) for external motives, and expertise (r=.52) for internal motives. There was a high correlation between professionalism (r=.61) for facility services and kindness (r=.53) for therapist services, and revisit (r=.40) for service use. Conclusion : According to the results of this study, it was found that there was a correlation between patient satisfaction and rehabilitation motivation in a physical therapy environment.

• 경영과정보연구
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• 제36권4호
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• pp.129-148
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• 2017

기존 전시회 정보 제공 서비스는 전시회가 열리는 장소 주변의 관광지를 추천한다. 이러한 위치기반 추천의 경우 전시회의 내용과 관련이 없는 관광지를 추천할 수 있다는 한계점이 있다. 전시회 내용과 관련된 관광지를 관람객에게 추천함으로써 전시회에서 획득한 지식을 관광지에서 경험하는 데에 도움을 줄 필요가 있다. 전시회 큐레이터들이 전시회 내용과 관련된 관광지를 일일이 찾아 추천하는 방법이 있지만, 수작업이다 보니 큐레이터가 가지고 있는 배경지식의 범위 내에서만 추천이 가능하다는 한계점이 있다. 수작업에 따른 오류가 있을 수도 있기 때문에 자동화된 방법이 필요하다. 본 연구에서는 언어자원 빅데이터를 활용하여 전시회 내용과 관련된 관광지를 자동으로 추천하는 방법을 제안한다. 언어자원으로는 한국관광공사 LOD(Linked Open Data), 위키피디아, 국립국어원 사전 등을 활용했다. 단일 컴퓨터로는 이러한 대용량 언어자원을 효율적으로 처리하기 어렵기 때문에, 클라우드 컴퓨팅 프레임워크인 아파치 스파크(Apache Spark)에 기반하여 구현했다. 사용자가 웹브라우저를 통해 전시회 정보를 열람하면 본 알고리즘에 의해 추천된 관광지들을 같이 보여주는 웹인터페이스도 구현했다(http://bike.snu.ac.kr/WARP). 주요 전시회에 대한 관광지 추천 정확도에 대해 전문가 평가를 진행했다. 기존 방법에 비해 본 논문에서 제안한 방법의 정확도가 더 높았다. 본 연구를 활용하면 전시회 큐레이터의 수작업을 줄여줄 수 있고 전시회 관람자들을 관광지로 자연스럽게 유도할 수 있기 때문에, 전시산업과 관광산업 모두에게 도움이 될 수 있다.

• 영재교육연구
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• 제25권6호
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• pp.817-836
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• 2015

본 연구는 현재 전국의 모든 영재교육 기관에서 영재 학생을 선발할 때 적용하고 있는 관찰 추천 방법에 활용 가능한 영재 행동 특성 체크리스트를 개발하는 것을 목적으로 하고 있다. 기존 영재 행동 특성 체크리스트들은 제시한 문항들이 학교생활을 통해 관찰이 불가능하거나 애매한 항목들을 다수 포함하고 있거나, 영재 행동 특성으로서 그 중요도가 떨어지거나, 유사한 특성들이 반복되거나 혹은 다수의 문항으로 인해 실제 관찰 추천에서 활용도가 떨어지는 등의 문제점들이 지속적으로 제기되어 왔다. 이에 본 척도는 기존 연구에서 제시하고 있는 영재 행동 특성 요인들을 바탕으로 학교 현장에서 학생들을 직접 지도하고 있는 영재 교사들에 의해 '실제로' 관찰 가능성이 높은 영재 행동 특성과 각 특성들의 '중요도'를 반영했다는 데 의의가 있다. 본 척도는 현장의 영재 지도교사들을 대상으로 영재 행동 특성 요인과 구체적인 행동 양상에 대한 개방형 설문을 받고, 이를 전문가 그룹의 검토와 예비 검사, 본 검사, 확인적 요인 분석의 과정을 통해 개발하였다. 관찰 가능성과 중요도란 기준 적용으로 개발된 체크리스트는 일부 요인들을 제거하여 최종적으로 10개의 하위요인(논리적 사고, 높은 성취도, 독창성, 완벽주의, 창의적문제해결력, 호기심, 과제집착력, 의사소통 능력, 창의성, 활동성(열정))으로 구성되었으며, 각 요인별로 2~4개 문항이 제시되어 총 32개의 행동 특성 문항으로 개발되었다. 최종 32문항에 대한 내적합치도(${\alpha}$)와 문항-총점 상관을 분석한 결과 모두 양호한 값을 보여 영재 행동 특성 척도의 각 문항이 해당 구인을 일관성 있게 측정하는 것으로 분석되었다. 또한 영재 행동 특성 체크리스트에 대한 확인적 요인 분석 결과 모든 문항들이 각 하위 요인에 높게 부하되어 영재 행동 특성을 측정하는 체크리스트로 적합하며, 현장에서 초등학교 영재 학생들을 관찰 추천할 때 활용할 수 있음을 시사하고 있다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제16권2호
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• pp.119-124
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• 2016

According to the expansion of smartphone penetration and development of wearable device, personal context information can be easily collected. To use this information, the context aware recommender system has been actively studied. The key issue in this field is how to deal with the context information, as users are influenced by different contexts while rating items. But measuring the similarity among contexts is not a trivial task. To solve this problem, we propose context aware post-filtering to apply the context compensation. To be specific, we calculate the compensation for different context information by measuring their average. After reflecting the compensation of the rating data, the mechanism recommends the items to the user. Based on the item recommendation list, we recover the rating score considering the context information. To verify the effectiveness of the proposed method, we use the real movie rating dataset. Experimental evaluation shows that our proposed method outperforms several state-of-the-art approaches.

• Tuberculosis and Respiratory Diseases
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• 제79권3호
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• pp.121-126
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• 2016

Lung function reportedly declines with age and that this decline is accelerated during disease progression. However, a recent study showed that the decline might peak in the mild and moderate stage. The prognosis of chronic obstructive pulmonary disease (COPD) can be improved if the disease is diagnosed in its early stages, prior to the peak of decline in lung function. This article reviews recent studies on early COPD and the possibility of applying the U.S. Preventive Services Task Force recommendation 2008 and 2015 for early detection of COPD in Korea.

• Journal of Dairy Science and Biotechnology
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• 제19권1호
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• pp.30-38
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• 2001

The most important task in Korean dairy industry is to keep the seasonal and annual balance of raw milk supply and demand. Too much surplus milk supply which causes dumping sale of market milk makes dairy industries get in trouble of management, and eventually affects to farmers and consumers economically. As balancing of supply and demand is so important in the fee economic market system, the adaption of the quota system of milk production and seasonal price differentiation has been recommended very often as a method of controlling the milk supply and demand. However, this recommendation did not go through successfully due to the strong objection of dairy farmers. Recently, the voice of consumer's requirement for safer and more hygienic, and high protein, low fat level dairy product is getting stronger. By knowledge of this kind changes, quality improvement in nutrients and hygiene is the most positive way to expand the volume of milk consumption. To meet the consumer's demand, therefore, it is necessary to revise the level of milk fat content and the hygienic grading system for the payment system of raw milk.

• Ocean Systems Engineering
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• 제7권4호
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• pp.319-328
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• 2017

Higher prediction efficacy is a very challenging task in any field of engineering. Due to global warming, there is a considerable increase in the global sea level. Through this work, an attempt has been made to find the sea level variability due to climate change impact at Haldia Port, India. Different statistical downscaling techniques are available and through this paper authors are intending to compare and illustrate the performances of three regression models. The models: Wavelet Neural Network (WNN), Minimax Probability Machine Regression (MPMR), Feed-Forward Neural Network (FFNN) are used for projecting the sea level variability due to climate change at Haldia Port, India. Model performance indices like PI, RMSE, NSE, MAPE, RSR etc were evaluated to get a clear picture on the model accuracy. All the indices are pointing towards the outperformance of WNN in projecting the sea level variability. The findings suggest a strong recommendation for ensembled models especially wavelet decomposed neural network to improve projecting efficiency in any time series modeling.

• Journal of Information Processing Systems
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• 제15권4호
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• pp.931-956
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• 2019

Documents contain information that can be used for various applications, such as question answering (QA) system, information retrieval (IR) system, and recommendation system. To use the information, it is necessary to develop a method of extracting such information from the documents written in a form of natural language. There are several kinds of the information (e.g., temporal information, spatial information, semantic role information), where different kinds of information will be extracted with different methods. In this paper, the existing studies about the methods of extracting the temporal information are reported and several related issues are discussed. The issues are about the task boundary of the temporal information extraction, the history of the annotation languages and shared tasks, the research issues, the applications using the temporal information, and evaluation metrics. Although the history of the tasks of temporal information extraction is not long, there have been many studies that tried various methods. This paper gives which approach is known to be the better way of extracting a particular part of the temporal information, and also provides a future research direction.

• 전자통신동향분석
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• 제34권6호
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• pp.100-107
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• 2019

Recently, reinforcement learning (RL) has expanded from the research phase of the virtual simulation environment to a wide range of applications, such as autonomous driving, natural language processing, recommendation systems, and disease diagnosis. However, RL is less likely to be used in these complex real-world environments. In contrast, inverse reinforcement learning (IRL) can obtain optimal policies in various situations; furthermore, it can use expert demonstration data to achieve its target task. In particular, IRL is expected to be a key technology for artificial general intelligence research that can successfully perform human intellectual tasks. In this report, we briefly summarize various IRL techniques and research directions.

• 해양환경안전학회지
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• 제27권3호
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• pp.421-428
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• 2021

Identifying which international maritime legal instruments are mandatory or recommendatory is complicated task even for maritime regulatory bodies. Although International Maritime Organization (IMO) had tried to ease the complexity by adopting guidelines on uniform wordings for making reference to other instruments in IMO parent conventions, there has still been some confusion identifying the mandatory status of IMO instruments. The aim of this study was to map out a step-based guideline to resolve the complexity of the mandatory status of IMO instruments to the maximum extent possible. This study reviewed the history of IMO rule-making process to find the root cause of the problem, then analyzed the approaches of regulatory enforcement bodies to check the practices. In conclusion, readers are directed to find such information as to legal status of IMO instruments and an improvement is proposed to enhance the transparency of information sharing for maritime industry to make better informed decisions.