• Journal of Digital Convergence
• /
• v.19 no.5
• /
• pp.215-227
• /
• 2021

This study empirically studied the factors affecting the intensity of use of mobile social media and fatigue. Theories for the research framework were based on the theory of planned behavior, the theory of private information protection, the theory of flow, and the theory of process incentives. As a result of data analysis, it was found that self-efficacy, user habits, and flow experience positively influence the intensity of mobile social media use. This study assumed that personal information protection issues negatively affect the intensity of mobile social media use, but have little influence on the use intensity. The intensity of media use had a positive effect on media fatigue. In other words, when the intensity of using mobile social media increased, the feeling of fatigue increased. The expected process incentives variable did not show a moderating effect between media use intensity and social media fatigue. The findings will have implications for social media-related companies and organizations that want to use social media tools for business and public services.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.12 no.3
• /
• pp.23-37
• /
• 2002

As the world-wide use of the Internet increases rapidly due to development of computer network the Electronic Commerce for business by treating it is growing as compared to the traditional one for the information exchange in the academic and research areas. The Electronic Payment System used for EC includes the Payment Broker System and the Electronic Purse System. And usually Electronic Purse System operates with IC cards. Saving the money in IC card has a high portability and security. Therefore, the Electronic purse System based on IC card is recently issued in the EC. In this paper, we design and implement of a IC card security system for Common Electronic Purse Specifications in Internet. CEPS is a Electronic Purse System proposed VISA, and conform EMV(Europay Mastercard VISA) security structure. With our system, users easily use Electronic Purse System with only Web browser and IC card. Original EMV paid no regard to using in the Internet. But our system, conforming to CEPS and EMV, is easily used in the Internet.

• The Journal of Industrial Distribution & Business
• /
• v.12 no.4
• /
• pp.35-51
• /
• 2021

Purpose: As the digital environment has expanded opportunity for consumers to acquire information from social media and social network services(SNS), With this environment, influencer has not only promoted products, but also participated in distribution and influencing on their followers. Despite the increasing interest in influencers, there has not been enough research on the structure of fashion influencer, relationship of immersion and purchase intention. This study examined the effects of fashion influencers' characteristics to the immersion of relationship with followers and purchase intention. Research design, data and methodology: For data collection, a pilot survey and the final survey were conducted. The pilot survey data was conducted to 50 female SNS users following fashion influencers. Based on the pilot tests, questionnaire was revised and the final survey was conducted online from august 22 to September 1, 2019 to female SNS users who have followed fashion influencer. A total of 408 data were collected, and exploratory factor analysis, correlation analysis, and structural equational modeling techniques were employed for the data analyses using AMOS 26.0 and SPSS 26.0. Results: First, five factors were extracted for the fashion influencers' characteristics: interactivity, similarity, reliability, expertise and attractiveness. Second, fashion influences' reliability, expertise, similarity, interactivity have a positive (+) effects on relationship immersion; however, attractiveness has no effect on relationship immersion with followers and fashion influencer. It was also determined that relationship immersion had positive (+) influences on purchase intention. The relationship immersion has been found to have a partially mediated effect and similarity has complete mediated effects between interactivity, reliability, and expertise of fashion influencers and purchasing intentions. In terms of fashion opinion leadership, it was found to have a significant influence on purchase intention only for low fashion leadership groups. Conclusions: The present study found the structural relationships among the influencer characteristics, relationship immersion and purchase intentions to provide framework for succeeding research. This research revealed academic association of intention of purchasing through use of fashion social media and fashion influencer marketing. The results also showed the practical implications that fashion influencers' expertise and reliability perceived by their followers are key determinants to success in influencer marketing.

• Journal of radiological science and technology
• /
• v.45 no.2
• /
• pp.111-116
• /
• 2022

In this study, the applicability of machine learning for the development of a simulator for general X-ray examination education is evaluated. To this end, k-nearest neighbor(kNN), support vector machine(SVM) and neural network(NN) classification models are analyzed to present the most suitable model by analyzing the results. Image data was obtained by taking 100 photos each corresponding to Posterior anterior(PA), Posterior anterior oblique(Obl), Lateral(Lat), Fan lateral(Fan lat). 70% of the acquired 400 image data were used as training sets for learning machine learning models and 30% were used as test sets for evaluation. and prediction model was constructed for right-handed PA, Obl, Lat, Fan lat image classification. Based on the data set, after constructing the classification model using the kNN, SVM, and NN models, each model was compared through an error matrix. As a result of the evaluation, the accuracy of kNN was 0.967 area under curve(AUC) was 0.993, and the accuracy of SVM was 0.992 AUC was 1.000. The accuracy of NN was 0.992 and AUC was 0.999, which was slightly lower in kNN, but all three models recorded high accuracy and AUC. In this study, right-handed PA, Obl, Lat, Fan lat images were classified and predicted using the machine learning classification models, kNN, SVM, and NN models. The prediction showed that SVM and NN were the same at 0.992, and AUC was similar at 1.000 and 0.999, indicating that both models showed high predictive power and were applicable to educational simulators.

• Korean Journal of Organic Agriculture
• /
• v.30 no.2
• /
• pp.129-149
• /
• 2022

In March 2020, the National Assembly revised the Framework Act on Cooperatives, allowing a federation of heterogeneous cooperatives, and in October 2020, the Daegu Gyeongbuk Federation of Local Food Cooperatives was launched as the first federation of heterogeneous cooperatives in the country. The local food movement, which has been promoted upward in the local community as an alternative to the existing global food system, seems to be being activated by the government's food plan policy, but critics say that the government's policy goals are not fully achieved due to the top-down policy promotion and lack of communication. In response, this study first examines the role and significance of the local food federation of heterogeneous cooperatives in solving the problems raised in the process of establishing a food plan. In addition, the current status of the federation was investigated for the successful settlement and development of the Daegu Gyeongbuk Federation of Local Food Cooperatives. A survey of affiliated cooperatives, focus group interviews with managers and experts and related literature surveys were conducted. Based on this, the direction of activities was presented, such as the role of an intermediary in Daegu and Gyeongbuk and the role of an intermediary in the public and private sectors etc. In addition, six joint project tasks were specifically presented, including an integrated information sharing system & a logistics network, a planned production system & a joint processing center, an online sales system & a co-marketing promotion, a joint education system, a management of direct stores & restaurants, a sustainable public-private cooperation system etc.

• Advanced Industrial SCIence
• /
• v.1 no.1
• /
• pp.23-31
• /
• 2022

Cloud services, which started in the early 2000s as a method of using idle servers, are more active with the advent of the 4th industrial revolution, and are being used in many fields as an optimal platform that can be used for business by collecting and analyzing data. On the other hand, the Internet of Things is an environment in which all surrounding objects can freely connect to the Internet network anytime and anywhere to transmit sensed data. In the Internet of Things, data is transmitted in real time, so BaaS, that is, a cloud service for data only has been added. In this paper, among BaaS services for the Internet of Things, a back-end service method that manages data based on Parse Server is explained, and a service that helps patients in rehabilitation is presented using this. For this, a Raspberry Pi is used as a hardware environment, and it is connected to the Internet, collects patient movement information in real time, and manages it through the Parse Server.

• The Journal of Bigdata
• /
• v.6 no.2
• /
• pp.85-98
• /
• 2021

The pandemic of COVID-19 further promoted the imbalance in the volume of imports and exports among countries using containers, which worsened the shortage of empty containers. Since it is important to secure as many empty containers as the appropriate demand for stable and efficient port operation, measures to predict demand for empty containers using various techniques have been studied so far. However, it was based on long-term forecasts on a monthly or annual basis rather than demand forecasts that could be used directly by ports and shipping companies. In this study, a daily and weekly prediction method using an actual artificial neural network is presented. In details, the demand forecasting model has been developed using multi-layer perceptron and multiple linear regression model. In order to overcome the limitation from the lack of data, it was manipulated considering the business process between the loaded container and empty container, which the fully-loaded container is converted to the empty container. From the result of numerical experiment, it has been developed the practically applicable forecasting model, even though it could not show the perfect accuracy.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.05a
• /
• pp.232-234
• /
• 2022

Big data is widely used in customer relationship management, relationship marketing, financial business improvement, credit information and risk management. Moreover, as non-face-to-face financial transactions have become more active recently due to the COVID-19 virus, the use of financial big data is more demanded in terms of relationships with customers. In terms of customer relationship, financial big data has arrived at a time that requires an emotional rather than a technical approach. In relational marketing, it was necessary to emphasize the emotional aspect rather than the cognitive, rational, and rational aspects. Existing traditional financial data was collected and utilized through text-type customer transaction data, corporate financial information, and questionnaires. In this study, the customer's emotional image data, that is, atypical data based on the customer's cultural and leisure activities, is acquired through SNS and the customer's activity image is analyzed with an artificial intelligence CNN algorithm. Activity analysis is again applied to the annotated AI, and the AI big data model is designed to analyze the behavior model shown in the annotation.

• Information Systems Review
• /
• v.26 no.1
• /
• pp.1-17
• /
• 2024

This study analyzes the effect of SNS Advertising Creative Strategy of Hospital. The research was conducted by two-way ANOVA and multiple regression analysis to analyze the effect of Advertising Creative Strategy, consist of message framing, appeal, and advertising models, on CTR (Click Through Rate). The data used in this research was the actual advertisement results impressed from 2018 to the beginning of 2023 through multiple SNS channel (Kakaotalk Channel, YouTube, Instagram, and Facebook) by a liposuction specialized network hospital with 20 branches in Korea. As a result of this study, different SNS Channel effects on CTR and among 'Message Framing (Positive, Negative)', 'Message Appeal (Rational, Emotional)' and 'Advertisement Models (Character, Ordinary, Professional)', only Advertisement Models had a significant effect on CTR. The result of this study is significant in the point that it analyzed the actual SNS advertisements of hospital and adopted CTR to measure the effect of advertising. Based on those findings, theoretical and practical implications, limitations of this study, and directions for further research were suggested.

• International conference on construction engineering and project management
• /
• 2024.07a
• /
• pp.815-822
• /
• 2024

This study aims to facilitate the integration of digital technology into construction supervision by leveraging construction supervision checklists, a fundamental tool for inspections in this field. To achieve this, this research analyzed the tools and practices used in construction supervision, identifying 12 key supervision task types. These task types formed the basis for developing four distinct digital technologies, each tailored to specific inspection tasks based on practical feasibility. A checklist development process followed with the use of predefined criteria. Checklist items from the Ministry of Land, Infrastructure, and Transport of South Korea were analyzed and categorized according to the identified inspection task types. Digital technologies were then integrated for each task type, with corresponding supervision locations documented. This process enhanced the checklist's effectiveness by incorporating methods for digitizing tasks. The findings suggested that approximately 61% of traditional tasks could be potentially replaced by digital technology, highlighting the potential for successful digitization implementation. In addition, surveys among industry professionals provided insights into the level of productivity enhancement achievable through technology adoption compared to traditional practices, offering a basis for predicting productivity improvements across various disciplines. In conclusion, this research supports the effective integration of digital technology into construction supervision through an enhanced checklist. It also sheds light on practitioners' perceptions of technology usage and aids in developing strategies for technology adoption in this domain.