• Journal of Korean Elementary Science Education
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• v.32 no.4
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• pp.423-436
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• 2013

This research purports to analyze released items and G4 students' science achievement from TIMSS 2011 according to their academic achievement levels and gender. By doing so, it aims to draw educational implications for Korea from analyses results. Korea showed a lower rate of students at the advanced international benchmark - the highest achievement level - compared to Singapore. The difference was the smallest in Life Science among three content domains and knowing among three cognitive domains. The results of analysis according to gender showed that male students' achievement was significantly higher in Physical Science and Earth Science, and their achievement was also higher in the cognitive domains of Knowing and Applying. From the analysis of the released items, it was revealed that the students' achievement was low in items related to classification of organisms, functions of heart, matters that combust or emit light, and the concept of rotation. Moreover, students drew some illogical conclusions based on their personal experience. Male students were found to show high achievements in items that were not included in curriculum, constructed-response items in the form of short-answer questions, and multiple-choice items in the Knowing domain. Female students were found to show high achievement in items that were included in curriculum, constructed-response items that require reasons and methods, and items that represent experimental situations. Male students showed high achievement in forces concept and movements concept of bodies in the universe, while female students showed high achievement in solubility concept.

• Journal of the Semiconductor & Display Technology
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• v.21 no.2
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• pp.90-94
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• 2022

In order to minimize the picking time when the products are released from the warehouse, they should be located close to the exit when the products are released. Currently, the warehouse determines the loading location based on the order of the requirement of products, that is, the frequency of arrival and departure. Items with lower requirement ranks are loaded away from the exit, and items with higher requirement ranks are loaded closer from the exit. This is a case in which the delivery time is faster than the products located near the exit, even if the products are loaded far from the exit due to the low requirement ranking. In this case, there is a problem in that the transit time increases when the product is released. In order to solve the problem, we use the idle time of the stocker in the warehouse to rearrange the products according to the order of delivery time. Temporal difference learning method using Q_learning control, which is one of reinforcement learning types, was used when relocating items. The results of rearranging the products using the reinforcement learning method were compared and analyzed with the results of the existing method.

• Proceedings of the KSR Conference
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• 2010.06a
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• pp.2242-2248
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• 2010

Wide range of methodology of reliability prediction for system exists. For railway field, MIL-HDBK-217F, which has not been revised since early in 1990, is used for reliability prediction if historical data is not available. Since this standard has been published, quality and performance of electronic products have been improved rapidly and various kinds of items have been released, however new versions of items could not be released because the prediction standard could not follow up the speed of the production. Thus, this thesis introduces Telcordia SR-332 Issue 2 and would like to compare and analyze the result from MIL-HDBK-217F together with some cases we performed.

• Journal of The Korean Association For Science Education
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• v.26 no.6
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• pp.732-742
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• 2006

This study expects to understand Korean girls' weaknesses in science achievement and to make suggestions for improvement. The analyses of 95 released items in TIMSS 2003 show that Korean girls had few difficulties in 'inference and analysis', 'very hard or very easy' items, 'previously-learned' items, and items presented in context of 'school science'. They achieved lower in items of understanding science concept or factual knowledge. Inference and analysis items, which were favorable to girls, worked unfavorably to them as case science knowledge intervened. Girls outperformed boys in items with 80% or more and with 20% or less percent correct. Also, the boys showed much higher achievement in previously learned and contextualized items, which proves girls' lack of interest in science in everyday life. On the base of item analysis, several suggestions were made for the girl-inclusive science education in Korea: First, girls should have more opportunities for science experience not only in school context but also in everyday life. Second, more teaching and learning programs should be developed to care girls' weaknesses in science learning. Lastly, gender issues in science education should be actively included in curriculum development process and teacher training programs.

• 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.

• KIEAE Journal
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• v.13 no.4
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• pp.49-54
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• 2013

released by IEA, 2010, indicated that Korea's GDP, of 8 countries surveyed-Korea, Frans, Germany, Italy, Japan, the UK, the USA, and Australia-was the lowest, but the electric consumption per head was third, following America and Australia. Thus, our government has been striving to reduce energy usage and especially to lessen the energy used in buildings, proposing a variety of road maps such as 'building energy efficiency rating' and 'energy saving design standards of buildings'. Accordingly, this study investigated the effect of the items of machine part among EPI items on the energy saving rate. I measured energy usage by ECO2 program, for simulation program, that is used for the building energy efficiency rating. Result showed that items concerning control of pumps and fans had much more saving rate than the ones concerning efficiency of heater and cooler that had bigger scores assigned among EPI items. Result showed that items concerning control of pumps and fans had much more saving rate than the ones concerning efficiency of heater and cooler that had bigger scores assigned among EPI items. Therefore, I think that grades assigned to items in energy performance index need to be corrected.

• 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.

• Journal of Korean Society for Atmospheric Environment
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• v.30 no.3
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• pp.211-222
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• 2014

Pork belly meat is one of the most preferred food items for many Korean people. The odorants released from cooking of pork belly meat were measured by three kinds of cooking methods (Charcoal-grill (C), Electric Pan (E), and Gas burner-pan (G)). A total of 16 target compounds including carbonyl compounds, volatile organic compounds, and poly aromatic hydrocarbon were selected and analyzed for comparative purposes. Their emission concentrations were quantified using HPLC-UV, GC-MS, GC-TOF-MS, etc. The gas samples collected by Charcoal-grill cooking showed generally enhanced concentrations of most target compounds among all three kinds of cooking methods. In Charcoal-grill, concentration of benzene, formaldehyde and pyrene went up to 543, 516, and 402 ppb, respectively. It the results are compared in terms of the sum of odor intensity, the highest value (4.25) was also seen from Charcoal-grill. The results of this study confirm that the significantly reduced emission of harmful pollutants can be attained, it pork belly meat is cooked by the Gas or electric pan instead of Charcoal-grill.

• Journal of Environmental Science International
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• v.15 no.4
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• pp.319-324
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• 2006

Release rate is one of the important items for the environmental impact assessment caused by radioactive materials in case of an accidental release from the nuclear facilities. In this study, the uncertainty of the estimated release rate is evaluated using Monte Carlo method. Gaussian plume model and linear programming are used for estimating the release rate of a source material. Tracer experiment is performed at the Yeoung-Kwang nuclear site to understand the dispersion characteristics. The optimized release rate was 1.56 times rather than the released source as a result of the linear programming to minimize the sum of square errors between the observed concentrations of the experiment and the calculated ones using Gaussian plume model. In the mean time, 95% confidence interval of the estimated release rate was from 1.41 to 2.53 times compared with the released rate as a result of the Monte Carlo simulation considering input variations of the Gaussian plume model. We confirm that this kind of the uncertainty evaluation for the source rate can support decision making appropriately in case of the radiological emergencies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.274-280
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• 2020

The purpose of this study was to identify the average cost and present status of non-benefit medical expenses by using the data of tertiary hospitals released by the Health Insurance Review and Assessment Service(HIRA), and to compare the data to find cost variations. The target of analysis was the present status of the non-benefit medical expenses reported by 41 tertiary hospitals among the 44 previously designated hospitals (three were excluded due to revocation or new designation) for 2015, 2016, 2017, and 2018 (until April). This study was conducted after approval of using the released data of the HIRA's data opening system. This study was analyzed by its general characteristics, annual non-benefit medical expenses by frequency analysis, and annual understanding of variation by designating Coefficient of Variation (C.V.). The research found out that the number of details of non-benefit medical expense was gradually increased: the numbers of categories were 51 in 2015, 53 in 2016, and 98 in 2017, but there was a rapid increase in 2018 by 193. As a result, to standardize non-benefit medical expense items across tertiary hospitals due to their variations in the expenses, the government should expand standardized non-benefit medical expenses and make it mandatory for medical institutions to use the standardized items or names of such expenses.