• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.599-604
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• 2021

In an era where AI artificial intelligence converges into each field, design of AI-CARE function and UI UX design are in the spotlight. The application of shape design and the trend of color are important for visual effects to match new features. In this paper, we would like to use this to present an example of the arrangement and application of form trends and to present design directions. In the introduction, the latest design environmental factors were analyzed and studied in the direction of the new proposal. In the text, the design direction and consideration of the design in the planning were studied by separating the functional design form, and the direction of the design work was presented. At the stage of form and color, a plan was proposed to match the flow of minimalism, universal design, and affordance design. A study method based on case practice is a consideration of how to consider content on shapes and colors specialized in the partial design work, and proposed to enable graphic production of new areas of UI UX in content images to be feasible. Through this study, the design direction and planning of the derivative method of shape and color was reached by suggesting design directionality and validity for each AI CARE bed PART.

• Journal of The Korean Association of Information Education
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• v.25 no.3
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• pp.459-469
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• 2021

In this paper, a case study of basic data science practice education for field teachers and pre-service teachers was studied. In this paper, for basic data science education, spreadsheet software was used as a data collection and analysis tool. After that, we trained on statistics for data processing, predictive hypothesis, and predictive model verification. In addition, an educational case for collecting and processing thousands of public big data and verifying the population prediction hypothesis and prediction model was proposed. A 34-hour, 17-week curriculum using a spreadsheet tool was presented with the contents of such basic education in data science. As a tool for data collection, processing, and analysis, unlike Python, spreadsheets do not have the burden of learning program- ming languages and data structures, and have the advantage of visually learning theories of processing and anal- ysis of qualitative and quantitative data. As a result of this educational case study, three predictive hypothesis test cases were presented and analyzed. First, quantitative public data were collected to verify the hypothesis of predicting the difference in the mean value for each group of the population. Second, by collecting qualitative public data, the hypothesis of predicting the association within the qualitative data of the population was verified. Third, by collecting quantitative public data, the regression prediction model was verified according to the hypothesis of correlation prediction within the quantitative data of the population. And through the satisfaction analysis of pre-service and field teachers, the effectiveness of this education case in data science education was analyzed.

• Journal of Internet Computing and Services
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• v.23 no.3
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• pp.35-45
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• 2022

Even in recent years, treatment of first-aid patients is still often delayed due to a shortage of medical resources in marginalized areas. Research on automating the analysis of medical data to solve the problems of inaccessibility for medical services and shortage of medical personnel is ongoing. Computer vision-based medical inspection automation requires a lot of cost in data collection and labeling for training purposes. These problems stand out in the works of classifying lesion that are rare, or pathological features and pathogenesis that are difficult to clearly define visually. Anomaly detection is attracting as a method that can significantly reduce the cost of data collection by adopting an unsupervised learning strategy. In this paper, we propose methods for detecting abnormal images on chest X-RAY images as follows based on existing anomaly detection techniques. (1) Normalize the brightness range of medical images resampled as optimal resolution. (2) Some feature vectors with high representative power are selected in set of patch features extracted as intermediate-level from lesion-free images. (3) Measure the difference from the feature vectors of lesion-free data selected based on the nearest neighbor search algorithm. The proposed system can simultaneously perform anomaly classification and localization for each image. In this paper, the anomaly detection performance of the proposed system for chest X-RAY images of PA projection is measured and presented by detailed conditions. We demonstrate effect of anomaly detection for medical images by showing 0.705 classification AUROC for random subset extracted from the PadChest dataset. The proposed system can be usefully used to improve the clinical diagnosis workflow of medical institutions, and can effectively support early diagnosis in medically poor area.

• Journal of Korea Entertainment Industry Association
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• v.14 no.2
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• pp.1-14
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• 2020

This study was initiated by the interest in identifying what the characteristics of BTS' preference is in the expanded K-Pop market. For this study, a survey was conducted to Taiwan, Thailand, Vietnam, and Korea where BTS is popular. The results of this study show that Vietnam and Thailand have the most positive perceptions of most of the BTS preferences, and the factors affecting the highest quality were analyzed by the differentiating sense of BTS. BTS' preference is an independent variable consisting of five factors: singers and music, a discriminative sense, global communication, meditative lyrics and Korean sentiment. And it has been shown to have a statistically significant influence on both the fandom star and the fan community at a high level. In particular, the Identification desire for fandom star shows that the discriminative sense and meditative lyrics affect the positive at a high level. Also, the identification desire for the fan community's found that the attraction of singers and music affects the highest level of affection. This study was extended to Southeast Asian and Korean fans through a wide range of survey participants, and it is meaningful that a new perspective on the BTS preference was available. Nonetheless, Failure to take into account the various variables that may affect the fandom effect and the intent to purchase, and the lack of a survey of fans in the U.S. and Europe, which has more fans worldwide, could be a limitation of the study.

• Journal of the Korean Chemical Society
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• v.66 no.5
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• pp.376-389
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• 2022

The purpose of this study was to investigate the effects of implementing semantic mapping reading strategy in the science class on high school students' science text reading ability. 3^rd grade students of science core high school in a small and medium-sized city participated in this study for a semester. Texts with socio-scientific issues and chemistry subjects were used to implement semantic mapping reading strategy in the science class. To investigate the changes in students' science text reading ability, experimental group students participated in the pre-reading and post-science reading ability tests and the results were analyzed. The results of this study showed that the mean of the science reading ability test score of experimental group was significantly higher than that of the comparison group. We found that drawing a semantic mapping before solving a reading task made it easier for students to find information and infer meaning from text. It can be seen that students also recognize that the semantic mapping is helpful in understanding the text because it is easy to understand the relationship between concepts by visualizing the content of the text, and can connect their background knowledge with the text content.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.2
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• pp.91-108
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• 2022

In most cases, optical images have been used as training data of DL (Deep Learning) models for object detection, recognition, identification, classification, semantic segmentation, and instance segmentation. However, properties of 3D objects in the real-world could not be fully explored with 2D images. One of the major sources of the 3D geospatial information is DSM (Digital Surface Model). In this matter, characteristic information derived from DSM would be effective to analyze 3D terrain features. Especially, man-made objects such as buildings having geometrically unique shape could be described by geometric elements that are obtained from 3D geospatial data. The background and motivation of this paper were drawn from concept of the intrinsic image that is involved in high-level visual information processing. This paper aims to extract buildings after classifying terrain features by training DL model with DSM-derived information including slope, aspect, and SRI (Shaded Relief Image). The experiments were carried out using DSM and label dataset provided by ISPRS (International Society for Photogrammetry and Remote Sensing) for CNN-based SegNet model. In particular, experiments focus on combining multi-source information to improve training performance and synergistic effect of the DL model. The results demonstrate that buildings were effectively classified and extracted by the proposed approach.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.15 no.5
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• pp.328-334
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• 2022

The process that one may consciously focuses on necessary stimulation among tremendous amount of stimulation through human sensory systems is called attention in psychology. It is known that the attention can be affected by many factors such as room temperatures, humidity level, etc. In the field of sports science, ice packs are widely used for recovery from exercise fatigue providing fast heat transfer by conduction. However, the effect on attention by so-called iced-pack-cooling has not been tested. This research focuses on the attention levels when one is provided with a special cooling pad on their dorsal and lateral cervices. 40 subjects were divided into four groups and their attention level was evaluated based on the exposure conditions of combinations in reading and light walking with and without the cooling pad. The Frankfruter Aufmerksamkeits-Inventar, FAIR was used to evaluate the attention levels; the performance index, quality index, and continuity index consist of the FAIR test indicating the selectiveness of the attention, correctness of the attention, and maintaining term of the attention, respectively. Analysis of variance was carried out for those variables and post-hoc if applicable. When visual attention is constantly used for reading and studying, application of conductive heat transfer by the cooling pads is significantly helpful for improvement in selectiveness of the attention and maintaining terms of the attention levels. Also, light walking yielded improvement in selectiveness of the attention and maintaining terms of the attention levels; however one should presupposedly consider the loss of reading time.

• Journal of the Korean Society of Earth Science Education
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• v.14 no.1
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• pp.33-47
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• 2021

This study developed a big data-based STEAM (Science, Technology, Engineering, Art & Mathematics) program using WWT (World Wide Telescope), focusing on content elements of 'solar system', 'star and universe' in the 2015 revised science curriculum, and in order to find out the effectiveness of the STEAM program, analyzed creative problem solving, STEAM attitude, and STEAM satisfaction by applying it to one middle school 176 students simple random sampled. The results of this study are as follows. First, we developed a program to encourage students to actively and voluntarily participating, utilizing the astronomical data platform WWT. Second, in the paired t-test based on the difference between the pre- and post-scores of the creative problem solving measurement test, significant statistical test results were shown in 'idea adaptation', 'imaging', 'analogy', 'idea production' and 'elaboration' sub-factors except 'attention task' sub-factor (p < .05). Third, in the paired t-test based on the difference between the pre- and post-scores of the STEAM attitude test, significant statistical test results were shown in 'interest', 'communication', 'self-concept', 'self-efficacy' and 'science and engineering career choice' sub-factors except 'consideration' and 'usefulness / value recognition' sub-factors (p < .05). Fourth, in the STEAM satisfaction test conducted after class application, the average values of sub-factors were 3.16~3.90. The results indicated that students' understanding and interest in the science subject improved significantly through the big data-based STEAM program using the WWT.

• Korean small business review
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• v.43 no.4
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• pp.95-115
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• 2021

Quality is an important factor influencing organizational performance, so it should be possible to accurately and effectively measure the quality perceived by members. The Consumer Cooperative can be seen as a retail industry by industry classification, and there are various studies based on the dimension of retail quality, but compared to the general retail industry, few studies have been conducted based on the quality level perceived by members. The purpose of this study is to develop quality dimensions and sub-attributes by analyzing in detail and elaborately how the quality of cooperative is viewed from the perspective of members who are both consumers and owners. To this end, the quality dimension of cooperative quality is needed to be newly developed and quality components are demonstrated based on previous studies on the quality dimension. The quality dimension of the cooperative was developed through prior research to suit the value of the cooperative in product, service, and social responsibility, and a survey was conducted to demonstrate the four major cooperative members in Korea. Through this, sub-dimensions were constructed and the quality dimension of the high-order model was demonstrated through exploratory factor analysis and confirmatory factor analysis. It aims to discover key management elements in terms of quality management and provide practical implications to management.

• Journal of the Korea institute for structural maintenance and inspection
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• v.25 no.5
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• pp.94-101
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• 2021

According to the Facility Management System (FMS) operated by the Korea Authority of Land & Infrastructure Safety, it is expected that the number of aging facilities that have been in use for more than 30 years will increase rapidly to 13.9% in 2019 and 34.5% in 2929, and end up with a social problem. In addition, with the revision of "Common Application of Seismic Design Criteria" by the Ministry of Public Administration and Security in 2017, it is mandatory to re-evaluate all existing road facilities and if necessary seismic reinforcement should be done to minimize the magnitude of earthquake damage and perform normal road functions. The seismic performance management-decision support technology currently used in seismic performance management practice in Korea only determines the earthquake-resistance reinforcement priority based on the qualitative index value for the seismic performance of individual facilities. However with this practice, normal traffic functions cannot be guaranteed. A new seismic performance management decision support technology that can provide various judgment data required for decision making is needed to overcome these shortcomings and better perform seismic performance management from a road network perspective.