• Journal of Intelligence and Information Systems
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• v.23 no.4
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• pp.77-110
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• 2017

Recently, the diversification and individualization of consumption patterns through the web and mobile devices based on the Internet have been rapid. As this happens, the efficient operation of the offline store, which is a traditional distribution channel, has become more important. In order to raise both the sales and profits of stores, stores need to supply and sell the most attractive products to consumers in a timely manner. However, there is a lack of research on which SKUs, out of many products, can increase sales probability and reduce inventory costs. In particular, if a company sells products through multiple in-store stores across multiple locations, it would be helpful to increase sales and profitability of stores if SKUs appealing to customers are recommended. In this study, the recommender system (recommender system such as collaborative filtering and hybrid filtering), which has been used for personalization recommendation, is suggested by SKU recommendation method of a store unit of a distribution company that handles a homogeneous brand through a plurality of sales stores by country and region. We calculated the similarity of each store by using the purchase data of each store's handling items, filtering the collaboration according to the sales history of each store by each SKU, and finally recommending the individual SKU to the store. In addition, the store is classified into four clusters through PCA (Principal Component Analysis) and cluster analysis (Clustering) using the store profile data. The recommendation system is implemented by the hybrid filtering method that applies the collaborative filtering in each cluster and measured the performance of both methods based on actual sales data. Most of the existing recommendation systems have been studied by recommending items such as movies and music to the users. In practice, industrial applications have also become popular. In the meantime, there has been little research on recommending SKUs for each store by applying these recommendation systems, which have been mainly dealt with in the field of personalization services, to the store units of distributors handling similar brands. If the recommendation method of the existing recommendation methodology was 'the individual field', this study expanded the scope of the store beyond the individual domain through a plurality of sales stores by country and region and dealt with the store unit of the distribution company handling the same brand SKU while suggesting a recommendation method. In addition, if the existing recommendation system is limited to online, it is recommended to apply the data mining technique to develop an algorithm suitable for expanding to the store area rather than expanding the utilization range offline and analyzing based on the existing individual. The significance of the results of this study is that the personalization recommendation algorithm is applied to a plurality of sales outlets handling the same brand. A meaningful result is derived and a concrete methodology that can be constructed and used as a system for actual companies is proposed. It is also meaningful that this is the first attempt to expand the research area of the academic field related to the existing recommendation system, which was focused on the personalization domain, to a sales store of a company handling the same brand. From 05 to 03 in 2014, the number of stores' sales volume of the top 100 SKUs are limited to 52 SKUs by collaborative filtering and the hybrid filtering method SKU recommended. We compared the performance of the two recommendation methods by totaling the sales results. The reason for comparing the two recommendation methods is that the recommendation method of this study is defined as the reference model in which offline collaborative filtering is applied to demonstrate higher performance than the existing recommendation method. The results of this model are compared with the Hybrid filtering method, which is a model that reflects the characteristics of the offline store view. The proposed method showed a higher performance than the existing recommendation method. The proposed method was proved by using actual sales data of large Korean apparel companies. In this study, we propose a method to extend the recommendation system of the individual level to the group level and to efficiently approach it. In addition to the theoretical framework, which is of great value.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.2
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• pp.66-77
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• 2011

We propose a framework for grouping photographic advertising images that employs a hierarchical indexing scheme based on efficient feature combinations. The study provides one specific application of effective tools for monitoring photographic advertising information through online and offline channels. Specifically, it develops a preprocessor for advertising image information tracking. We consider both global features that contain general information on the overall image and local features that are based on local image characteristics. The developed local features are invariant under image rotation and scale, the addition of noise, and change in illumination. Thus, they successfully achieve reliable matching between different views of a scene across affine transformations and exhibit high accuracy in the search for matched pairs of identical images. The method works with global features in advance to organize coarse clusters that consist of several image groups among the image data and then executes fine matching with local features within each cluster to construct elaborate clusters that are separated by identical image groups. In order to decrease the computational time, we apply a conventional clustering method to group images together that are similar in their global characteristics in order to overcome the drawback of excessive time for fine matching time by using local features between identical images.

• Journal of the HCI Society of Korea
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• v.9 no.1
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• pp.11-21
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• 2014

We present an experimental framework to analyze the physical reactions and causal factors of Visually Induced Motion Sickness (VIMS) using electroencephalography (EEG) signals and vital signs. We studied eleven subjects who are voluntarily participated in the experiments and conducted online and offline surveys. In order to simulate videos including global motions that could cause the motion sickness, we extracted global motions by optical flow estimation method from hand-held captured video recordings containing intense motions. Then, we applied the extracted global motions to our test videos with action movies and texts. Each genre of video includes three levels of different motions depending on its intensity. EEG signal and vital sign that were measured by a portable electrocorticography device and an electronic monometer in real time while the subjects watch the videos including ones with the extracted motions. We perform an analysis of the EEG signals using Distance Map(DM) calculated by correlation among each channel of brain signal. Analysis using the vital signs and the survey results is also performed to obtain relationship between the VIMS and causal factors. As a result, we clustered subjects into three groups based on the analysis of the physical reaction using the DM and the correlation between vital sign and survey results, which shows high relationships between the VIMS and the intensity of motions.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.4
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• pp.497-508
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• 2020

The paradigm focusing on learner-centered classes and the introduction of flipped learning through the connection between online and offline have been increasing. This study proved the educational effect by applying flipped learning to the basic draping course within the fashion practical course and revealed the implications for flipped learning from the instructor's perspective. The research methods are theatrical research and model development research in order to guide basic drape utilizing flipped learning. The study results revealed that learners' satisfaction was very high about the basic draping course combined with flipped learning, and it showed that students were very satisfied with the learning-related video because it can compensate for the decrease in education efficiency according to the number of attendees and improve education. Improvements shall include technical and content supplementation of video learning materials and presentation of documented learning materials, in addition to video materials. From the instructor's perspective, time needs to be set aside for video shooting and editing, a view of the composition of education from the learner's perspective, and an in-depth understanding of the instructor's curriculum for flipped learning design.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.217-225
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• 2021

This study analyzed the perception formed by artificial intelligence users by converging technology readiness index and technology acceptance models and expanding them to models considering artificial intelligence ethics in order to find out the impact of technology acceptance and ethics. Independent variables include optimism, transparency, ethical awareness, user-centeredness, perceived usefulness and perceived ease of use as potential variables affected by independent variables, and defined the intention of use as potential variables as dependent variables. The survey results from an online and offline of men and women aged over 17 years old across the country (N=260) from September 5 to October 12, 2020 were used in the analysis. The findings, first, showed that optimism had a significant static effect on perceived usefulness and ease of use. Second, ethical awareness (transparency, ethical awareness, user-centeredness) did not have a significant impact on perceived usefulness and ease of use. Third, perceived usefulness and ease of use are finally found to have a significant static effect on the intention of use. Fourth, perceived usefulness has a relatively high influence over ease of use.

• 한국노년학
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• v.41 no.4
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• pp.567-586
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• 2021

This study explored what latent classes appear according to the combination of Belief in a Just World (BJW) and social class of middle-aged adults, and examined whether there are differences in career transiton, perceiving a calling, and working as meaning in each class and what characteristics they have. 224 middle-aged people who experienced turnover through online and offline were surveyed and analyzed by Latent Profile Analysis. The participants were divided into 5 latent classes such as; 'Relative self-satisfaction', 'Social contentment', 'Relative deprived', 'Fairness trust' and 'Fairness distrust'. According to the results of MANOVA analysis to figure out if there are differences in career transitions, perceiving a calling, and working as meaning depending on latent classes, significant differences were appeared among latent classes. Finally, multinominal logistic regression analysis was conducted to examine whether demographic characteristics and 'decent work' affect the latent group classification. As a result, the more 'decent work', the higher the probability of belonging to the class with high BJW and social class. On the basis of the results of this study, the implications on the case conceptualization and counseling strategy for adults focusing on BJW and Social class in adults and future research were discussed.

• The Journal of Internal Korean Medicine
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• v.44 no.3
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• pp.366-386
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• 2023

Objective: In this study, a questionnaire survey was conducted for doctors and patients to obtain basic data necessary for the development of an integrated medical system for idiopathic pulmonary fibrosis (IPF). Methods: Questionnaires were developed separately for doctors and patients through an expert group meeting. The survey subjects were recruited online and offline, and finally, responses from 231 doctors and 59 patients were used for statistical analysis. Results: The most important parts in the treatment of IPF for both doctors and patients were the "improvement of respiratory symptoms," "improvement of quality of life," and "prevention of disease progression." Antifibrotic agents were prescribed at a high rate, and 100% of the specialists in Western medicine (WM) and 45.8% of patients reported experiencing side effects. As for the additional payment costs that patients considered as affordable for an integrated medical system, "under 50,000 won (about 38$)" was reported the most in both doctor and patient groups. With regard to the reasons for their reluctance to recommend an integrated medical system for IPF, specialists in WM responded highly to "uncertain evidence for treatment effectiveness." Regarding complementary and alternative medicine therapies that can be beneficial in patients with IPF, "lifestyle management," "diet management," "herb," "relaxation therapy," and "psychotherapy" were ranked high in both doctor and patient groups. Conclusions: In this study, a questionnaire survey on IPF was conducted to review actual treatment status, analyze shortcomings, and identify considerations for the development of an integrated medical system for IPF in the future.

• Journal of Korean Library and Information Science Society
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• v.55 no.3
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• pp.285-312
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• 2024

This study aims to secure basic data for the development of locally customized reading culture programs by closely examining and analyzing the reading practices of local library users, their evaluation and improvement of existing reading culture programs, and the types and directions of reading culture programs they would like to see in the future. To this end, a survey was conducted among users of public libraries in the Busan area and the results were analyzed. The survey was conducted online and offline, with 609 respondents. Based on the results of this study, the following implications can be drawn: First, the definition of reading activities is expanding beyond traditional paper books to various digital media, and it is necessary to reflect this change in future program development. Second, as lack of time and lack of information were identified as the main reasons for non-participation in reading activities, libraries and related organizations should offer programs at more flexible times and expand participation opportunities through effective promotion strategies. Third, the continuity and diversity of library reading culture programs should be strengthened, and fourth, they should be differentiated in terms of topics, time, size, and type by age group. Finally, programs should be improved through continuous user surveys. The results of this study can be used as a basis for improving and developing library reading culture programs in the future.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.6
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• pp.53-69
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• 2016

The purpose of this study is to analyze the factors of Elderly Social Activity (Employment) Programs participatory intention of middle and old aged and to figure out the undertone of research results. To achieve this aims, we conducted a literature survey on Elderly Social Activity Programs and local informatization, and then designed a questionnaire including the demographic information and the five variables, i.e., satisfaction on local informatization, satisfaction on health condition, satisfaction on economic condition, satisfaction on human relationship, and participatory intention of Elderly Social Activity (Employment) Programs. The data were collected through online and offline survey targeted those aged over 50 and participated in information literacy program in Korea. A total of 333 valid data were analyzed using SPSS and AMOS statistical packages. The results can be summarized as follows: satisfaction on local informatization and satisfaction on health condition have a statistically significant effect on Elderly Social Activity (Employment) Programs participatory intention. In the comparative analysis of two groups between economic active group and economic inactive group, only health has a statistically significant effect on their participatory intention in economic active group, not only health but also local informatization has a statistically significant effect on the their participatory intention in economic inactive group. Therefore, local informatization is an essential prerequisite and local informatization should be improved for the middle aged and elderlies who have willingness to participate in Elderly Social Activity (Employment) Programs.

• 대한공업교육학회지
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• v.40 no.1
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• pp.105-120
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• 2015

The purpose of this study was to extract of Sub-elements of technological communication skills and to construct of a system model. In order to achieve the goal of the study, it was carried out in two steps: (1)Extraction sub-elements and definitions of technological communication skills, (2)Development of a system model of technological communication skills. Obtained conclusions by the process of this research were as follows. First, sub-elements of the technological communication skills were extracted and they were images, sketches, flowcharts, drawings, prototyping, symbols tables graphs and presentations. Second, using the 'technological communication tools' based on the "collaborative activities in online and offline', technological communication skills were defined as communication skills to be raised through the process of 'Idea through the Communication', 'Realization through the Communication', 'Wrap up through the Communication'. Third, technological communication skills were described as the system, in which 'Idea through the Communication(images, sketches, flowcharts)', 'Realization through the Communication(design, prototyping)', 'Wrap up through the Communication(symbol table graph, presentation)' were collaboratively activated. Fourth, checking tool for the technological communication skills was developed, based on checking tool for the existing communication skills and system model for technological communication skills. And it was improved by the expert validity test.