• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.229-234
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• 2021

This study identified the characteristics of video contents related to waste cycle in Korean social media. The contents of broadcasting companies were the most popular among production entities, and mainly current affairs contents and educational contents were popular. Among the solutions to recycle wastes, 'Improvement of systems and policies' was predominantly covered in the video as solutions to the waste circulation problems. 'Broadcasting companies', 'local governments', 'non-profit private organizations' and 'central administrative agencies' actively used the social media to deliver solutions and engage consumers. However, very few contents were produced by companies that are socially responsible for waste. The results of this study show the importance of communication-oriented, public-friendly content development in the process of video production related to waste cycle. These are expected to be useful guidelines for decision-making supporting the development and improvement of related systems and policies.

• Journal of Industrial Convergence
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• v.19 no.6
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• pp.1-10
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• 2021

This study sought ways to strengthen the competitiveness of local governments using public diplomacy, especially in Chungcheongbuk-do, at a time when it is urgent to revitalize the local economy by attracting investment from domestic and foreign companies due to changes in the global supply chain. The main issues that have recently emerged in the global business environment include strengthening the localization of the global value chain, diversifying reshoring and supply chains, and creating an efficient global value chain through digital transformation. Therefore, this study emphasized the necessity of a strategy for public diplomacy based on these changes, and derived the response conditions and detailed strategies of Chungcheongbuk-do through SWOT analysis. In addition, based on the ABCD model, we set up a Chungbuk-type public diplomacy strategy and suggested strategic implications for upgrading Chungbuk's competitiveness.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.5
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• pp.61-72
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• 2022

Web 3.0 is also called the "next-generation Internet" and is a new concept that started in 2018 and is attracting attention as the beginning of the "distributed Internet era". As Web 3.0 became mainstream, non-fungible tokens (NFTs) serving as content as services were distributed, and companies started to introduce NFTs in their marketing campaigns. This is because NFTs can be used to promote brands to new consumers. In this study, using Japan's 「HARTi」 NFT Art as an example, we investigate a new method using urban infrastructure and spaces, not NFTs that exist only in the Japanese art market and online. By analyzing social issues following the introduction of a new digital marketing method based on NFT Art, we will discuss issues and countermeasures in the domestic NFT Art market and present a positive outlook.

• Journal of Convergence for Information Technology
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• v.11 no.5
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• pp.23-29
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• 2021

Recently, a situation in which a specific content service is impossible worldwide has occurred due to a failure of the platform service and a significant social and economic problem has been caused in the global service market. In order to secure the stability of platform services, intelligent platform operation management is required. In this study, big data flow management(BDFM) and implementation method were proposed to quickly detect to abnormal service status in the platform operation environment. As a result of analyzing, BDFM technique improved the characteristics of abnormal failure detection by more than 30% compared to the traditional NMS. The big data flow management method has the advantage of being able to quickly detect platform system failures and abnormal service conditions, and it is expected that when connected with AI-based technology, platform management is performed intelligently and the ability to prevent and preserve failures can be greatly improved.

• Journal of Convergence for Information Technology
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• v.11 no.8
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• pp.185-193
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• 2021

The purpose of this study is to prevent risk of emotional labor and health through verifying the mediating effects of depression on the relationship between emotional labor and somatic symptoms and insomnia in non-medical hospital workers. For this study, a sample of 533 tertiary hospital's non-medical workers completed the questionnaires of the Korean Emotional Labor Scale, PHQ-15, ISI, PHQ-9. The data was analyzed using the SPSS 25.0 program. The results can be summarized as follows. 1. Among the emotional labor sub-factors, emotional dissonance had a significant effect on depression, somatic symptoms and insomnia. Other sub-factors had a relatively small effect or had no effect. 2. The results showed the partial mediating effects of depression on the relationship between emotional labor and somatic symptoms. 3. The results showed the full mediating effects of depression on the relationship between emotional labor and insomnia. On the basis of the results, we suggest the necessity of dealing with emotional dissonance and depression in non-medical hospital workers' emotional labor and health issues.

• Journal of Convergence for Information Technology
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• v.12 no.2
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• pp.142-148
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• 2022

In this paper, the weight reduction design of the yaw gearbox for wind turbine was performed through the finite element analysis method, and the stability was checked by performing the critical speed analysis. The weight reduction product can improve engine efficiency, save parts materials, and earn economic benefits. The yaw gearbox is lightweighted with the goal of achieving a safety rate of 1.3 or higher for wind turbine as indicated by IEC61400-1. In order to reduce the weight of the carrier, a topology optimization method was performed. The safety factor was verified by performing finite element analysis on the carrier. In addition, the housing and carrier were modeled using the finite element method, and the gear train was modeled using MASTA. For the yaw gearbox, the housing and carrier FE model and the gear train model were connected by the partial structural synthesis method to perform the rotational vibration analysis. Vibration excitation sources are mass unbalance and gear mesh frrequemcy, and as a result of the critical speed analysis, it was found that there was no resonance within the operating speed range.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.269-275
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• 2022

As artificial intelligence services targeting humans increase, social demands are increasing that artificial intelligence should also be made on an ethical basis. Following this trend, the government and businesses are preparing policies and norms related to artificial intelligence ethics. In order to establish reasonable policies and norms, the first step is to understand the public's perceptions. In this paper, social data and news comments were collected and analyzed to understand the public's perception related to artificial intelligence and ethics. Interest analysis, emotional analysis, and discourse analysis were performed and visualized on the collected datasets. As a result of the analysis, interest in "artificial intelligence ethics" and "artificial intelligence" favorability showed an inversely proportional correlation. As a result of discourse analysis, the biggest issue was "personal information leakage," and it also showed a discourse on contamination and deflection of learning data and whether computer-made artificial intelligence should be given a legal personality. This study can be used as data to grasp the public's perception when preparing artificial intelligence ethical norms and policies.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.1
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• pp.41-50
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• 2023

Recently, as the Coronavirus disease 2019 (COVID-19) prolongs along with the development of artificial intelligence technology, a non-contact society has become commonplace. Many companies are promoting digital transformation and the activation of artificial intelligence introduction to respond to this which leads to dramatic increase of demand for Chatbot. In addition, a Chatbot has reached the point of processing business transactions from responding simple inquiries. However, it is necessary to develop an API to interface with the legacy system and there are many difficulties in connecting. To solve this, it is becoming important to establish a hybrid Chatbot environment through RPA interface. Recently, the combination of RPA and Chatbot is considered an effective tool for handling many business processes. But, there are many difficulties due to the lack of interface cases and the difficulty in finding a method to development them. This study suggests a method for building a hybrid Chatbot which is an interface Chatbot(Conversational UX) and RPA(Task Automation) from the perspective of hyper-automation based on actual development cases and review of literature review is presented, so that the interface method can be understood and develop more easily. Therefore, there are implications for actively using AI Chatbot for digital transformation.

• Journal of Internet of Things and Convergence
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• v.8 no.3
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• pp.41-46
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• 2022

Smart home in the Internet of Things (IoT) environment aims to provide an optimal living environment for users by connecting all devices in the home. In such a smart home environment, artificial intelligence speakers are being used as a way to manage and control all devices. The existing speaker function is changing from simple music playback to the role of an interface that controls and manages all devices in the smart home space. This study dealt with the market status and usability analysis in the US and Korea, the leader in artificial intelligence speakers. The main target companies were Amazon, Google, and Apple in the US, as well as Kakao, SKT, and KT in Korea. In addition, based on the reaction results of domestic users to artificial intelligence speakers, the derivation of major problems and directions for improvement were described.

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.255-269
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• 2022

In this study, it was necessary to examine consumer acceptance attitudes from an in-depth and multifaceted perspective at a time when the need for chatbot services in various industrial fields is increasing and being activated in earnest. Accordingly, this study conducted a structural equation model to examine not only the structural relationship between ease, usefulness, and playfulness among the main functions of chatbot services and their acceptance attitudes, but also whether there is a mediating effect of service value in the relationship. As a result of the main study of this study, it was identified that the relationship between the ease, usefulness, and playfulness factors, which are the main functional sub-factors of the chatbot service, and their acceptance attitude and service value had a statistically static influence relationship. Based on these research results, the main research conclusions suggest that when companies in various fields provide chatbot services in the future, it is necessary to clearly determine the influencing factors that can affect the chatbot service acceptance attitude and provide these services. Through this, it is expected that the AI chatbot service will strengthen communication with consumers and establish itself as a customized and personalized counseling service.