• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.10
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• pp.2241-2246
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• 2015

Recently for efficient management, companies have collected and investigated information about customers' feedback by using a system that analyzes big data from social media. This paper proposes more accurate and efficient evaluation method of collecting and investigating customers' feedback using social big data for travel agency, which is representative company of hospitality industry. First, it designs service model and, as a test-bed, analyzes media channel, customer satisfaction, and brand-image etc. of big 5 travel agencies in Korea. In addition, we suggest an analysis result of evaluating preference with positive rate and negative rate by proposed evaluation method. It allows a travel agency to know which area should be improved corresponding to evaluation item; thus, suggested evaluation method is effective to manage customers even more efficiently.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.9-18
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• 2019

This study investigates the factors affecting the educational satisfaction and the transfer of learning of cyber crime prevention education students in order to confirm the effectiveness of the current education. Based on the CIPP model, we confirmed whether the level of social demand and the level of knowledge in the context evaluation, recency of subjects in the input evaluation and interaction in the process evaluation affect the educational satisfaction and the transfer of learning of the students by conducting the survey for the students. As a result of analysis, it was proved that the level of knowledge, recency of subjects and interaction had a significant relationship with the educational satisfaction and recency of subjects, interaction and educational satisfaction significantly affect transfer of learning. Based on the findings, this study provides a few constructive suggestions to improve the effectiveness of the cyber crime prevention education program.

• Nuclear Engineering and Technology
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• v.54 no.5
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• pp.1726-1746
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• 2022

This paper presents fracture mechanics analysis results for various cracks located at pressurized water reactor pressure vessel nozzle crotch corners taking into consideration constraint effect. Technical documents such as the ASME B&PV Code, Sec.XI were reviewed and then a fracture mechanics analysis procedure was proposed for structural integrity assessment of various nozzle crotch corner cracks under normal operation conditions considering the constraint effect. Linear elastic fracture mechanics analysis was performed by conducting finite element analysis with the proposed analysis procedure. Based on the evaluation results, elastic-plastic fracture mechanics analysis taking into account the constraint effect was performed only for the axial surface crack of the reactor pressure vessel outlet nozzle with cladding. The fracture mechanics analysis result shows that only the axial surface crack in the reactor pressure vessel outlet nozzle has the stress intensity factor exceeding the low bound of upper-shelf fracture toughness irrespectively of considering the constraint effect. It is confirmed that the J-integral for the axial crack of the outlet nozzle does not exceed the ductile crack initiation toughness. Hence, it can be ensured that the structural integrity of all the cracks is maintained during the normal operation.

• Journal of Korea Water Resources Association
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• v.42 no.5
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• pp.397-406
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• 2009

River is able to change by various environmental factors. In order to conduct restoration design of abandoned river channels, it is necessary to evaluate the river through the analysis of past and present river channels. River evaluation requires various data, such as geometry, hydraulic and hydrology, but there is a lot of difficulty to understand topographical information of river change on time and space due to a lack of past data by domestic conditions. This study analyzes the changes in past and present river channels and examines the applicability of river channel evaluation through image analysis using aerial photographs and 1918 year's map. Aerial photograph analysis was conducted by applying the image analysis method and GIS analysis method on Cheongmicheon. As a result of this analysis, we have quantitatively identified the form and size of abandoned channels, changes in the vertical-section and cross-section length of rivers, and micro-landform changes. More importantly, we verified that morphological changes in sandbars due to artificial straightening are important data in identifying the state of current river channels. In these results, although image analysis technique has limitations in two-dimensional information from aerial photographs, we were able to evaluate the changes in river channel morphology after artificial maintenance of the river.

• Journal of The Korean Association For Science Education
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• v.7 no.1
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• pp.53-68
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• 1987

To figure out the present status of Korean middle school science curriculum in the national level is not an easy job. especially in the restricted condition such as this research project. Therefore, to achieve a meaningful result, the case study type of research was adopted In the study five middle schools (2boy's and 3girl's)were selected and examined intensively. In this study, two major works were done. One was the analysis of the present middle school science curriculum and the other was to examine the current status of the administration of the curriculum in schools. This first study focused on the evaluation of the current Curriculum. Acording to the result, the objectives stated in the teachers guide and implied by the testbook were heavily concentrated on the knowledge level in Boom's taxonomy. Achievement on the objectives which were selected as important were very low. The average pass rate for the selected objectives was less than 50% of the students. This means the content level of the present science curriculum is not appropriate. The study suggested that the present middle school science curriculum should be revised and the content should be replaced with easier topics to match the students cognitive level. The study also suggested further studies to measure the cognitive level of Korean students in national scale.

• Journal of the Korea institute for structural maintenance and inspection
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• v.9 no.4
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• pp.149-158
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• 2005

In order to grasp and evaluate the characteristics and the safety of traditional wooden building, we select one of the representative traditional wooden building, Buseoksa Muryangsujeon in this study. After the two and three-dimensional structural analysis of this building are performed, the results are compared and analyzed. Following main conclusion are obtained: 1) By comparison between the results of two and three-dimensional structural analysis, they show that the exterior members of this building tend to transfer more load in the three-dimensional analysis. 2) The result of three-dimensional structural analysis shows that the every member stress of Buseoksa Muryangsujeon except Chobang and Jangyon is below allowable stress. 3) For exact modelling of joints of members in traditional wooden building such as Gongpo, it is necessary to accumulate and analyze the technical data through structural test and systematic analysis study.

• KIEAE Journal
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• v.13 no.5
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• pp.79-88
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• 2013

This study creates the evaluation criteria to analyze the $CO_2$ emission quantity in the complex of apartment house among domestic buildings and proposes how to calculate the $CO_2$ emission quantity by the only simple information of apartment house. The study shows that in order to create the index of carbon emission evaluation criteria, $CO_2$ emission quantity for its input materials in these 27 apartment houses are 445,412g-$CO_2/m^2$ for apartment building, 474,322g-$CO_2/m^2$ for the basement parking lot, 483,523g-$CO_2/m^2$ for welfare facility, 729,957g-$CO_2/m^2$ for sales facility, 743,560g-$CO_2/m^2$ for other facility, 26,782g-$CO_2/m^2$ for public facility, 43,659g-$CO_2/m^2$ for landscape, 1,113g-$CO_2/m^2$ for indoor facility, 11,251g-$CO_2/m^2$ for outdoor facility and 891g-$CO_2/m^2$ for common temporary based on the average $CO_2$ emission by facility. We can also see the analysis data that in case of using the selected factors only, the rate of error is 7.51% comparing with the emission quantity by using simplified LCA method this study suggests for the whole range of apartment houses and the rate of error is average 3.24% using selective and main materials. And this it is evaluated that we can get the result which is similar to the actual $CO_2$ emission quantity with only the simple information about the apartment house.

• Science of Emotion and Sensibility
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• v.7 no.2
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• pp.107-121
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• 2004

Although consumer needs for better products force manufactures to put emphasis on design, often development of a product has been done without the formal phase to consider human needs. In order to identify the implicit needs of customers and the areas of potential demand on a product, several analysis scheme such as QFD(quality function deployment) has been developed. For this, first of all, the methods for evaluating consumers satisfaction about their needs must be determined. However there were only few systematic methods on shoe design. In this paper we developed an innovative framework for human satisfaction evaluation of shoes. As a result, we uncovered 29 dominant human satisfaction dimensions for customer-oriented quality evaluation of a comfortable shoes. Here, 29 satisfaction dimensions were identified as the dimensions that represent the human sensitivity and psychological feeling on comfortable shoes. This study helped the designers and developers clarify the conceptual and abstract aspect of the design evaluation by proposing a more systematic and process-oriented method.

• Journal of Information Science Theory and Practice
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• v.10 no.4
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• pp.53-65
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• 2022

Altmetrics or alternative metrics gauge the digital attention received by scientific outputs from the web, which is treated as a supplement to traditional citation metrics. In this study, we performed a meta-analysis of correlations between classic citation metrics and altmetrics indicators of library and information science (LIS) articles. We followed the systematic review method to select the articles and Erasmus Rotterdam Institute of Management Guidelines for reporting the meta-analysis results. To select the articles, keyword searches were conducted on Google Scholar, Scopus, and ResearchGate during the last week of November 2021. Eleven articles were assessed, and eight were subjected to meta-analysis following the inclusion and exclusion criteria. The findings reported negative and positive associations between citations and altmetric indicators among the selected articles, with varying correlation coefficient values from -.189 to 0.93. The result of the meta-analysis reported a pooled correlation coefficient of 0.47 (95% confidence interval, 0.339 to 0.586) for the articles. Sub-group analysis based on the citation source revealed that articles indexed on the Web of Science showed a higher pooled correlation coefficient (0.41) than articles indexed in Google Scholar (0.30). The study concluded that the pooled correlation between citation metrics with altmetric indicators was positive, ranging from low to moderate. The result of the study gives more insights to the scientometrics community to propose and use altmetric indicators as a proxy for traditional citation indicators for quick research impact evaluation of LIS articles.

• Journal of Digital Contents Society
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• v.18 no.3
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• pp.593-598
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• 2017

In this paper, the factors that affect the festival satisfaction level were investigated by using the visitors of the 2016 Seoul Rose Festival as study subjects, and by understanding the factors that have high satisfaction levels, the satisfaction levels were evaluated and analyzed through data mining so as to allow an assessment of future festival satisfaction levels. Surveys were conducted on the visitors of the festival and a regression analysis was performed in order to test the goodness of fit of the collected data. Afterwards, data mining was used to analyze the assessment. As a result of the regression data, amenities were identified as affecting the festival satisfaction levels the most; and the data mining analysis results, as well, showed that the most important category affecting the festival satisfaction level was amenity, similar to the regression analysis.