• Journal of Educational Research in Mathematics
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• v.19 no.1
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• pp.99-121
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• 2009

This study analyzed the difficulty trend of item which are common with TIMSS 1999, 2003, 2007 and are released since TIMSS 2007. The results show that the 7th curriculum has positive effects on the students' achievement in the domain such as spatial sense of rotation, ratio proportion percent, pattern, calculation of decimal numbers, concept of angle, area of triangle, and qualitative approach to graph. And the results leaved the consideration for the process of scoring, teaching method of statistical probability concept, and making table as a problem solving method.

• 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.

• Korean Journal of Comparative Education
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• v.28 no.5
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• pp.1-19
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• 2018

The purpose of educational assessments such as the Trends in International Mathematics and Science Study (TIMSS) is to compare groups such as countries. When the unit of measurement is above the student level, group-level diagnostic assessment based on multilevel item response theory (ML-IRT) can be considered just as cognitive diagnosis models are developed from item response theory. This study suggests an ML-IRT-based group-level diagnostic assessment model by modifying an item feature model by Park and bolt (2008). The model is illustrated on the recently released TIMSS 2015 Grade 8 mathematics assessment. The results provide skill profiles for the studied countries and the nine cognitive attributes; that is, the attribute effects can be compared across the countries and also across the attributes. By controlling unexplained variance, the suggested model may provide more reliable and more informative group-level comparisons. The results are interpreted using an example. Limitations and directions for future research are also discussed.

• The KIPS Transactions:PartD
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• v.10D no.5
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• pp.837-844
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• 2003

The software reliability have to be improved as one major method to enhance the quality of developed software, and its defect is detected and modified through testing as a direct way to meet the purpose before releasing. Once its reliability grows up to the target and it is released to public. there nay be operational reliability problem. The operational software reliability trend nay be different depending on the condition whether it is universal or dedicated. And its reliability estimation is changed based on the condition if it follows uniform testing efforts or Weibull testing efforts. I study the operational reliability trend of dedicated software, applying two case testing efforts for the released item.

• Journal of Advanced Navigation Technology
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• v.12 no.6
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• pp.681-690
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• 2008

The software reliability have to be improved as one major method to enhance the quality of developed software, and its defect is detected and modified through testing as a direct way to meet the purpose before releasing. Once its reliability grows up to the target and it is released to public. there may be operational reliability problem. The operational software reliability trend may be different depending on the condition whether it is universal or dedicated. And its reliability estimation is changed based on the condition if it follows uniform testing efforts or Weibull testing efforts. I study the operational reliability trend of dedicated software, applying two case testing efforts for the released item.

• Journal of Intelligence and Information Systems
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• v.18 no.4
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• pp.1-17
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• 2012

Personalized smart devices such as smartphones and smart pads are widely used. Unlike traditional feature phones, theses smart devices allow users to choose a variety of functions, which support not only daily experiences but also business operations. Actually, there exist a huge number of applications accessible by smart device users in online and mobile application markets. Users can choose apps that fit their own tastes and needs, which is impossible for conventional phone users. With the increase in app demand, the tastes and needs of app users are becoming more diverse. To meet these requirements, numerous apps with diverse functions are being released on the market, which leads to fierce competition. Unlike offline markets, online markets have a limitation in that purchasing decisions should be made without experiencing the items. Therefore, online customers rely more on item-related information that can be seen on the item page in which online markets commonly provide details about each item. Customers can feel confident about the quality of an item through the online information and decide whether to purchase it. The same is true of online app markets. To win the sales competition against other apps that perform similar functions, app developers need to focus on writing app descriptions to attract the attention of customers. If we can measure the effect of app descriptions on sales without regard to the app's price and quality, app descriptions that facilitate the sale of apps can be identified. This study intends to provide such a quantitative result for app developers who want to promote the sales of their apps. For this purpose, we collected app details including the descriptions written in Korean from one of the largest app markets in Korea, and then extracted keywords from the descriptions. Next, the impact of the keywords on sales performance was measured through our econometric model. Through this analysis, we were able to analyze the impact of each keyword itself, apart from that of the design or quality. The keywords, comprised of the attribute and evaluation of each app, are extracted by a morpheme analyzer. Our model with the keywords as its input variables was established to analyze their impact on sales performance. A regression analysis was conducted for each category in which apps are included. This analysis was required because we found the keywords, which are emphasized in app descriptions, different category-by-category. The analysis conducted not only for free apps but also for paid apps showed which keywords have more impact on sales performance for each type of app. In the analysis of paid apps in the education category, keywords such as 'search+easy' and 'words+abundant' showed higher effectiveness. In the same category, free apps whose keywords emphasize the quality of apps showed higher sales performance. One interesting fact is that keywords describing not only the app but also the need for the app have asignificant impact. Language learning apps, regardless of whether they are sold free or paid, showed higher sales performance by including the keywords 'foreign language study+important'. This result shows that motivation for the purchase affected sales. While item reviews are widely researched in online markets, item descriptions are not very actively studied. In the case of the mobile app markets, newly introduced apps may not have many item reviews because of the low quantity sold. In such cases, item descriptions can be regarded more important when customers make a decision about purchasing items. This study is the first trial to quantitatively analyze the relationship between an item description and its impact on sales performance. The results show that our research framework successfully provides a list of the most effective sales key terms with the estimates of their effectiveness. Although this study is performed for a specified type of item (i.e., mobile apps), our model can be applied to almost all of the items traded in online markets.

• Asia pacific journal of information systems
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• v.20 no.1
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• pp.81-99
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• 2010

Lately, in consumers' markets the number of new items is rapidly increasing at an overwhelming rate while consumers have limited access to information about those new products in making a sensible, well-informed purchase. Therefore, item providers and customers need a system which recommends right items to right customers. Also, whenever new items are released, for instance, the recommender system specializing in new items can help item providers locate and identify potential customers. Currently, new items are being added to an existing system without being specially noted to consumers, making it difficult for consumers to identify and evaluate new products introduced in the markets. Most of previous approaches for recommender systems have to rely on the usage history of customers. For new items, this content-based (CB) approach is simply not available for the system to recommend those new items to potential consumers. Although collaborative filtering (CF) approach is not directly applicable to solve the new item problem, it would be a good idea to use the basic principle of CF which identifies similar customers, i,e. neighbors, and recommend items to those customers who have liked the similar items in the past. This research aims to suggest a hybrid recommendation procedure based on the preference boundary of target customer. We suggest the hybrid recommendation procedure using the preference boundary in the feature space for recommending new items only. The basic principle is that if a new item belongs within the preference boundary of a target customer, then it is evaluated to be preferred by the customer. Customers' preferences and characteristics of items including new items are represented in a feature space, and the scope or boundary of the target customer's preference is extended to those of neighbors'. The new item recommendation procedure consists of three steps. The first step is analyzing the profile of items, which are represented as k-dimensional feature values. The second step is to determine the representative point of the target customer's preference boundary, the centroid, based on a personal information set. To determine the centroid of preference boundary of a target customer, three algorithms are developed in this research: one is using the centroid of a target customer only (TC), the other is using centroid of a (dummy) big target customer that is composed of a target customer and his/her neighbors (BC), and another is using centroids of a target customer and his/her neighbors (NC). The third step is to determine the range of the preference boundary, the radius. The suggested algorithm Is using the average distance (AD) between the centroid and all purchased items. We test whether the CF-based approach to determine the centroid of the preference boundary improves the recommendation quality or not. For this purpose, we develop two hybrid algorithms, BC and NC, which use neighbors when deciding centroid of the preference boundary. To test the validity of hybrid algorithms, BC and NC, we developed CB-algorithm, TC, which uses target customers only. We measured effectiveness scores of suggested algorithms and compared them through a series of experiments with a set of real mobile image transaction data. We spilt the period between 1st June 2004 and 31st July and the period between 1st August and 31st August 2004 as a training set and a test set, respectively. The training set Is used to make the preference boundary, and the test set is used to evaluate the performance of the suggested hybrid recommendation procedure. The main aim of this research Is to compare the hybrid recommendation algorithm with the CB algorithm. To evaluate the performance of each algorithm, we compare the purchased new item list in test period with the recommended item list which is recommended by suggested algorithms. So we employ the evaluation metric to hit the ratio for evaluating our algorithms. The hit ratio is defined as the ratio of the hit set size to the recommended set size. The hit set size means the number of success of recommendations in our experiment, and the test set size means the number of purchased items during the test period. Experimental test result shows the hit ratio of BC and NC is bigger than that of TC. This means using neighbors Is more effective to recommend new items. That is hybrid algorithm using CF is more effective when recommending to consumers new items than the algorithm using only CB. The reason of the smaller hit ratio of BC than that of NC is that BC is defined as a dummy or virtual customer who purchased all items of target customers' and neighbors'. That is centroid of BC often shifts from that of TC, so it tends to reflect skewed characters of target customer. So the recommendation algorithm using NC shows the best hit ratio, because NC has sufficient information about target customers and their neighbors without damaging the information about the target customers.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.27 no.4
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• pp.45-57
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• 2014

Objective : This study aims to provide fundamental data for new directions(the improvement directions) from searching research papers of randomized controlled trials among thesis of Atopic Dermatitis related to oriental medicine in Korea from 2004 to 2014 and identifying the problem and level of a clinical study through an assessment of the quality, CONSORT statement. Methods : Data was collected through the Koreanstudies Information Service System(KISS). Two experts in Oriental Medicine reviewed the title and abstract in thesis, the results of searching the title, "Atopic dermatitis" and topic, "oriental medicine" at KISS, and then they handsearched Randomized Controlled Trials related to oriental medicine in Korea. According to guidelines defined by CONSORT statement, they assessed whether 37 items were followed by guidelines at yes or no answers in order to evaluate the quality as well. They assessed the definition of each item independently. After comparing, they made a decision on the item of different outcomes through an agreement with a third party. Results : Total number of randomized controlled trials in Atopic Dermatitis related to oriental medicine is eleven. A randomized controlled trial was first published in 2007. One or two papers associated it were released every year except 2013. 9 papers of them were approved by Institutional Review Board and were received written consent. The study included between 20 to 40 subjects for 2-arm parallel study design. The effect of treatment was observed for 4 to 8 weeks. On average, the number followed guidelines was 18.64 among those of 37 CONSORT statement and 50.38% of them was followed overall. Conclusion : As an interest about randomized controlled trials was increased, it was needed to care the standard providing information of CONSORT statement on randomized controlled trials related to oriental medicine in Korea. It is suggested to provide more clear information about it, so that it can be a motive for improving quality of the journal in oriental medicine.

• The Korean Journal of Archival Studies
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• no.4
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• pp.131-161
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• 2001

This paper is to examine the bibliographical description of the revolutionary historical archives and the standardization of the archives management in China. The standardization in the field of records and archives management was not initiated on its own way but as a part of national - leveled standardization. As a first step National Committee on Technical Standardization of Literature was established, followed by the establishing of Committee on Technical Standardization of Micro - filming and Committee of Technical Standardization of Paper Form. The standardization of the records and archives management was carried out in the context of functions of these three committees. In 1983 the standardization in the sphere of records and archives management speeded up, when the National Archives Administration formed small organizations which led the standardization work all over the country. A committee of standardization originated from small organizations and it brought a great progress of the standardization. If some opinions on standardization were submitted from records offices or related offices, they were examined by the committee of standardization. The opinions that were submitted by the committee of standardization were examined by the National Archives Administration which proclaimed it officially. The Chinese government commenced to establish the bibliographical data centre for historical archives and materials on the basis of this process of standardization. In the case of the revolutionary historical archives the description was made on the level of sources(provenance), which was sent to the bibliographical data centre for historical archives and materials. The Chinese government set digitalizing as a goal in records and archives management in the middle of 1990's. It was regulated that the description of records item that should be transferred to the center must be digitalized. However, the description of the file level was not made separately being reflected in the process of description of item level. (The second part of the paper will be released in the next volume).

• KIPS Transactions on Software and Data Engineering
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• v.10 no.6
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• pp.211-222
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• 2021

Recently, frozen and refrigerated appliances on the market are being released with additional IoT functions, but there are few tests on IoT functions. In particular, the existing test system does not have IoT test items for IoT-based frozen and refrigerated appliances, making it difficult for companies to find the cause even if defects occur, and test institutions are also restricted from selecting IoT-related test items and conducting correct performance tests. In this paper, we design a test item framework that can identify product defects and identify causes in the performance test process of frozen and refrigerated products with IoT functions among products in the home appliance field, and propose test methods and management measures using them. Through the proposed research, manufacturers and testing institutions can test the correct performance of IoT-based frozen and refrigerated products, thereby enhancing the completeness and securing reliability of the products.