• Journal of Distribution Science
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• v.13 no.10
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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.

• Journal of The Korean Association For Science Education
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• v.19 no.1
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• pp.146-158
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• 1999

Since 1960' s. aims of science education have changed from attainment of scientific concepts. principles and laws to improvement of science process(or inquiry) skills. According to the science education philosophy like this. our nation has adopted improvement and evaluation of science process(or inquiry) skills in science education. The purpose of this study was to examine the performance of high school students on 4 types of multiple choice items used to access students ability to identify independent and dependent variables. Stimulus materials were either a question focusing on the relationship between two variables. a hypothesis. a description of an experiment. or a description of results of an experiment. Student performance on these item types was compared to this performance on a standard Piagetian interview task of variable identification. The results of the study included: (1) the "hypothesis" type was the most difficult, while the "question" type appeared to be the easiest; (2) the "procedure" item type had a higher correlation with the total interview than any other item type. Among conclusions reached in this study was that although all four item types operated similarly. they did not correlate very highly with the performance assessment by interview.

• Journal of the Korea Society of Computer and Information
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• v.21 no.7
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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.

• Physical Therapy Korea
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• v.23 no.2
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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.

• Korean Journal of Childcare and Education
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• v.15 no.3
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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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• v.21 no.2
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• pp.169-190
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• 2017

The purpose of this study was to investigate item goodness-of-fit of Scale, Rasch rating scale model was applied to 5 dimensions 24 items of the Test of Performance Strategies (TOPS) in a sample of athletes with physical disabilities (n=215). An assumption to test Rasch Model, which is satisfaction of unidimensionality, is regarded through PCAR test, and WINSTEPS 3.65 program is used to test the goodness-of-fit of items. The results of this study were: First, 3-point rating category was appropriate for the TOPS instead of the existing 5-point rating category. Second, as a result of analyzing the goodness-of-fit of the items, 21 items of the TOPS were suitable, but 3 items were not. Third, the item reliability of person separation of the TOPS was acceptable, but the person reliability of item separation was not suitable and it was necessary to adjust the item order considering the difficulty level of the items. Fourth, as a result of comparing the individual attribute score and the difficulty level through the Item-Person Map, the distribution of the item difficulty distribution was shown to be biased in some factors compared to the personal attribute score distribution.

• Proceedings of the IEEK Conference
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• 2002.07c
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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.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.05a
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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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• v.21 no.4
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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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• v.25 no.4
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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.