• 유통과학연구
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• 제13권10호
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• pp.93-99
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• 2015

Purpose - It has been argued that the regulations restricting entry and opening hours of General Super Markets and Super Super Markets have not been as effective as expected. In contrast, the win-win item scheme that appeared recently has the advantage that it could raise the effectiveness of the system in that win-win items are in principle resigned on the basis of bilateral agreements. This study analyzes the win-win item agreement made between Homeplus at Hap-jung and small traditional markets to examine the practical effectiveness of the win-win item scheme. While existing literature studying the regulatory effects have concentrated on the restrictions around store entry or opening hours of large retailers, it can be said that there have been few empirical studies on the effect of win-win items agreement with large retailers. Research design, data, and methodology - Homeplus at Hap-jung made a win-win items agreement with nearby small traditional market traders in 2013. In accordance with this voluntary agreement, Homeplus started by limiting its sales to 15 win-win items. The survey was conducted through one-on-one interviews, April 14 to May 2, 2014, by a professional public opinion research agency. The interviews were targeted at small business retailers in the nearby traditional market. We divided the traditional markets near Homeplus at Hap-jung where the win-win item agreement was achieved into two groups, win-win item agreement markets and non win-win item agreement markets, to compare the performance difference between the two groups. Results - To determine the change in sales of the 15 win-win items, we examined the performance difference between the two groups using two criteria (compared with similar items, and compared to sales volume a year ago). The results show that the individual sales of win-win items in the win-win item agreement markets are more likely to increase than in the non win-win item agreement markets. Total sales volume of individual stores in the agreement markets also showed a more significant increase compared to a year ago than those in non win-win item agreement markets. Conclusions - Contrary to the existing retail regulations that have one-sided and uniform characteristics, it can be pointed out that the win-win item scheme has the effect of increasing the success of the system itself because it is done on the basis of mutual agreement between General Super Markets and traditional markets. The empirical results of this study can be said to support this conjecture. For the successful settlement of a win-win items agreement, the following points should be reviewed. First, it requires a great effort from the selection process of win-win items in order to improve the effectiveness of the agreement. Second, the existing General Super Markets customers should be introduced to the traditional markets or small shops to increase the sales of win-win items. Therefore, voluntary effort is essentially required from the traditional markets to engage customers.

• 한국과학교육학회지
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• 제19권1호
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• pp.146-158
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• 1999

본 연구에서는 과학 탐구능력을 구성하는 하위 요소들 중에서 변인확인 능력을 측정하는 평가 문항의 유형에 따른 차이와 최근에 한층 더 강조되고 있는 수행평가 방법중의 하나인 면접법을 통한 변인확인능력 평가 결과간의 상관 관계를 알아보고자 하였다. 연구 결과에 제시한 바와 같이 선다형 지필 평가 문항 유형별 변인확인 능력은 대체로 높은 상관관계를 나타냈으나, 선다형에 의한 변인확인능력 평가 결과와 수행평가 방법에 의한 평가 결과는 매우 낮은 상관 관계를 나타냈다. 특히, 독립변인 확인 능력과 종속변인 확인 능력은 거의 상관 관계가 없는 것으로 나타나 두 능력 중 어느 한쪽의 인지 여부가 다른 한쪽의 인지 여부를 결정해 주지는 못하는 것으로 볼 수 있다. 이는 과학교육 활동에서 이 두 능력을 동시에 강조하는 과학과 교수 학습 전략의 적용이 필요함을 함의한다. 또한 선다형에 의한 평가 결과와 수행평가에 의한 평가 결과가 상이한 결과를 보이는 것으로 보아 선다형만을 이용한 과학 탐구능력 평가와 그에 관련된 연구보다는 수행평가 방법과 같은 과정 평가를 이용한 정성적 방법을 병행하는 것이 평가의 결과와 연구 결과의 해석에 대한 타당성을 한층 높여줄 것으로 해석된다.

• 한국컴퓨터정보학회논문지
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• 제21권7호
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• pp.9-16
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• 2016

Collaborative filtering(CF) uses the purchase or item rating history of other users, but does not need additional properties or attributes of users and items. Hence CF is known th be the most successful recommendation technology. But conventional CF approach has some significant weakness, such as the new user problem. In this paper, we propose a approach using word embedding with skip-gram for learning distributed item representations. In particular, we show that this approach can be used to capture precise item for solving the "new user problem." The proposed approach has been tested on the Movielens databases. We compare the performance of the user based CF, item based CF and our approach by observing the change of recommendation results according to the different number of item rating information. The experimental results shows the improvement in our approach in measuring the precision applied to new user problem situations.

• 한국전문물리치료학회지
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• 제23권2호
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• pp.35-43
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• 2016

Background: The Functional Gait Assessment (FGA) was developed to measure of gait-related activities. The FGA was translated in Korean but only a few psychometric characteristics had been studied. Objects: The purpose of this study was to evaluate the validity and reliability of the Korean version of FGA scale using Rasch analysis. Methods: The study included 120 patients with stroke (age range=30~83 years; mean${\pm}$standard deviation=$58.3{\pm}11.1$). The FGA and Berg Balance Scale were performed, and were analysed for dimensionality of the scale, item difficulty, scale reliability and separation, and item-person map using Rasch analysis. Results: The 4 rating scale categories of FGA were satisfied with optimal rating scale criteria. The most items of the FGA showed sound item psychometric properties except 2 items ('gait with the horizontal head turns', and 'gait with narrow base of support'), and the 2 misfit items were excluded for all further analyses. The 8 items were arranged in order of difficulty. The most difficult item was 'gait with eyes closed', the middle difficult item was 'gait level surface', and the easiest item was 'gait with vertical head turns.' A person separation reliability was .93 and the person separation index was 3.57. Conclusion: This study suggests that the 8-item Korean FGA are valid measure of assess the gait-related balance performance, and to set the goal of rehabilitation plan in patient with stroke.

• 한국보육지원학회지
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• 제15권3호
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• pp.175-201
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• 2019

Objective: This study aims to develop and validate the musicality level of an individual child, based on the on performance tasks rubrics. Methods: The survey was conducted on 284 children(ages 3-5years old from kindergartens and day care centers), their parents, and their 51 teachers. The collected data were calculated and analyzed using SPSS 22.0 and AMOS 22.0. Results: Consisted of two components, two task types, 17 performance tasks, and 41 items in three dimensions. Rubrics were determined and based on the child's best performance, and categorized into five levels. Lastly, the item difficulty and item discriminating power were defined in order to comprehend the item quality analysis, which showed that average scores varied depending on the performance. Conclusion/Implications: The musicality rating scale for young children is significant in order to comprehend musicality levels through the performances of children aged three to five. This study has educational implications in that teachers can connect the results of the ratings to curriculum and promote the development of teaching and learning methodologies based on the musicality levels of individual children.

• 재활복지
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• 제21권2호
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• pp.169-190
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• 2017

이 연구의 목적은 스포츠수행전략(TOPS) 척도를 지체장애 엘리트선수에게 적용이 가능토록, Rasch 평정척도모형을 적용하여 문항의 적합성을 검증하는 데에 있다. 이를 위해 지체장애 엘리트선수 215명을 대상으로 5요인 24문항으로 구성되어있는 TOPS 척도에 응답토록 하였고, 일차원성 가정은 PCAR 검증을 통해서, 문항의 적합성은 WINSTEPS 3.65 프로그램을 통하여 검증하였다. 그 결과, 첫째, 문항의 응답범주는 문제가 있는 것으로 나타나, 기존 5점 범주 대신 3점 범주로 수정이 필요하다. 둘째, 문항적합성을 분석한 결과 21문항은 적합한 것으로 나타났지만, 3문항은 부적합한 것으로 나타났다. 셋째, TOPS 척도의 문항 신뢰도는 수용이 가능했지만, 응답자 신뢰도는 낮게 나타나, 문항 곤란도를 고려한 문항 순서의 조정이 필요하였다. 넷째, 개인 속성점수와 곤란도를 Item-Person Map을 통해 비교한 결과, 혼잣말 요인을 제외한 나머지 요인들에서 개인 속성점수 분포에 비해 문항 곤란도 분포가 편향되어 있는 것으로 나타내었다. 따라서 후속 연구에서 지체장애 엘리트선수의 TOPS를 적용하기 위해서는 문항의 배열을 곤란도가 낮은 문항에서 높은 문항 순으로 조정하고, 응답범주는 3점 범주로 설정, 아울러 곤란도를 고려한 추가문항을 개발하는 것이 타당한 결과를 산출할 수 있을 것이다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -3
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• pp.1859-1862
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• 2002

The replication of data is used to increase its availability, improve the performance of a system, and advance the fault-tolerance of a system. In this paper, it is required for the information about the location of a primary site of the replicas of each data item. The replicas of each data item are hierarchically organized to a tree based on the fact that the root is the primary replica in partially replicated databases. It eliminates useless propagation since the propagation can be done to only sites having replicas following the hierarchy of data. And our algorithm schedules transactions so that the execution order of updates at each primary site is identical at all sites by using timestamp. Using our algorithm, the consistent data are supplied and the performance of read-only transactions can be improved by using tree structure of replicas of each data item.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2019년도 춘계 학술논문 발표대회
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• pp.93-94
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• 2019

When the fire door is recently installed in the field, there are frequent cases where the fire door is manufactured with fire door having low quality or different structure compared to the performance that the fire door producer has confirmed in the performance test or the construction specification. In order to improve the on-site quality management of the fire door, we comprehensively classify the quality management items of the fire door according to the management subject and the step by stage and set the field quality management procedure, the field quality management inspection item, regulations and standardized checklists were presented.

• Journal of Information Technology Applications and Management
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• 제21권4호
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• pp.203-223
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• 2014

This study proposes a novel context-aware recommender system, which is designed to recommend the items according to the customer's responses to the previously recommended item. In specific, our proposed system predicts the user's emotional state from his or her responses (such as facial expressions and movements) to the previous recommended item, and then it recommends the items that are similar to the previous one when his or her emotional state is estimated as positive. If the customer's emotional state on the previously recommended item is regarded as negative, the system recommends the items that have characteristics opposite to the previous item. Our proposed system consists of two sub modules-(1) emotion prediction module, and (2) responsive recommendation module. Emotion prediction module contains the emotion prediction model that predicts a customer's arousal level-a physiological and psychological state of being awake or reactive to stimuli-using the customer's reaction data including facial expressions and body movements, which can be measured using Microsoft's Kinect Sensor. Responsive recommendation module generates a recommendation list by using the results from the first module-emotion prediction module. If a customer shows a high level of arousal on the previously recommended item, the module recommends the items that are most similar to the previous item. Otherwise, it recommends the items that are most dissimilar to the previous one. In order to validate the performance and usefulness of the proposed recommender system, we conducted empirical validation. In total, 30 undergraduate students participated in the experiment. We used 100 trailers of Korean movies that had been released from 2009 to 2012 as the items for recommendation. For the experiment, we manually constructed Korean movie trailer DB which contains the fields such as release date, genre, director, writer, and actors. In order to check if the recommendation using customers' responses outperforms the recommendation using their demographic information, we compared them. The performance of the recommendation was measured using two metrics-satisfaction and arousal levels. Experimental results showed that the recommendation using customers' responses (i.e. our proposed system) outperformed the recommendation using their demographic information with statistical significance.

• Asia pacific journal of information systems
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• 제25권4호
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• pp.686-711
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• 2015

The performance of a novel medical question-answering engine called CliniCluster and existing search engines, such as CQA-1.0, Google, and Google Scholar, was evaluated using known-item searching. Known-item searching is a document that has been critically appraised to be highly relevant to a therapy question. Results show that, using CliniCluster, known-items were retrieved on average at rank 2 ($MRR@10{\approx}0.50$), and most of the known-items could be identified from the top-10 document lists. In response to ill-defined questions, the known-items were ranked lower by CliniCluster and CQA-1.0, whereas for Google and Google Scholar, significant difference in ranking was not found between well- and ill-defined questions. Less than 40% of the known-items could be identified from the top-10 documents retrieved by CQA-1.0, Google, and Google Scholar. An analysis of the top-ranked documents by strength of evidence revealed that CliniCluster outperformed other search engines by providing a higher number of recent publications with the highest study design. In conclusion, the overall results support the use of CliniCluster in answering therapy questions by ranking highly relevant documents in the top positions of the search results.