• THE INDUSTRY AND TECHNOLOGY OF GAS
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• v.2 no.1
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• pp.6-21
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• 1998

에너지는 인류문명발달의 원동력이며 현대 산업사회에서는 모든 산업활동과 국민경제에 필수적인 요소이므로 세계 거의 모든 나라들은 에너지의 안정확보를 국가정책의 제 1로 삼고 있다. 세계적으로 볼 때 시대의 변천에 따라 에너지의 주역도 바뀌어 산업혁명 후 제2차 세계 대전까지는 석탄이 주역이었고, 2차대전 후 1970년대 석유위기 전까지는 석유가 단연 주역이었다가 석유위기 후 1980년대는 천연가스와 원자력이 상당부문 석유를 대체하고 있으며, 21세기에는 가스이용기술의 개발에 따라 편리성과 경제성에서 가스의 우월성으로 타에너지를 대체하고, 특히 지구온난화방지 노력과 관련하여 전세계적인 $CO_2$ 감축 목표에 따라 청정연료로서 타에너지 보다 사용이 크게 늘어 2010년까지는 1995년의 $50\%$가 증가하여 21세기 연료의 주역이 될 것으로 전망된다. 우리나라는 에너지의 $98\%$를 외국에서 도입하는 상황에서 석유의존도가 $60\%$를 넘고 있으며, 원자력발전소의 확장에 어려움이 많고 세계기후변화협약을 비준한 국가로서 지구온난화방지를 위한 의무를 지게 될 것이므로, 에너지 공급원의 다원화를 통한 안정확보와 청정에너지 이용의 확대 및 에너지 산업에 대한 규제완화 등으로 경제성에 입각한 시장경쟁에서 가스는 우위를 확보함으로써 1차 에너지중 가스의 비중이 매우 높아질 것으로 전망되고있다. 따라서 가스산업은 우리나라 에너지산업중 가장 크게 발전하고 또 다른 에너지가 여러면에서 제약을 받게 될 때 이러한 제약을 극복하는 대체에너지로서 역할이 크게 전망되며, 특히 발전, 열병합, 냉방, 자동차 연료부문에서의 사용이 크게 늘어날 것으로 예상되어 이러한 가스이용의 확대에 대비하여 가스자원의 개발, 국내 공급설비의 확충, 연구개발등에 대한 투자와 규제완화에 의한 시장경쟁에 대한 대비가 필요하다.계산모델 및 원자력병원에서 보유하고 있는 방사선 치료계획장치인 CAP-PLAN의 선량계산모델의 계산 결과와 비교하여, 흡수선량은 ${\pm}10\%$ 이내에서 거리로는 0.4mm 이내에서 대부분 일치하였다. 최대 오차는 각각 $11.3\%$ 및 0.8mm로 나타났다. 이상의 결과들로부터 새로 개발한 금으로 된 기구와 Ir-192 seed를 이용한 근접 방사선 치료법으로 안구의 악성종양에 대한 치료를 보다 효과적으로 시행할 수 있을 것으로 기대된다. 구성원을 간소 목적을 위하여 사용할 수 있어야 하겠다 마지막으로 이들 내의 위험 집단을 우선적으로 파악. 접근하여야 할 것이다. 위험 집단으로는 경제적 문제로 적절한 의료 이용을 할 수 없는 저소득층, 문화적으로 열등한 위치에 있는 여성층과 초기 이민 적응에 가장 문제를 일으킬 소지가 있는 노년층을 들 수 있겠다. 이 연구는 몇 가지 제한점을 가진다. 첫째. 연구 대상자 선정이 어려워서 자원자를 대상으로 연구가 행해졌다. 둘째. 적은 수의 연구 대상자를 대상으로 연구가 행해졌다. 셋째. 연구기간이 짧았던 까닭에 좀더 상세한 사례 연구가 이루어질 수 없었다 좀 더 신뢰할 수 있는 표본 추출 방법을 통하여 선정된, 많은 연구 대상자를 가지고, 심도 있는 연구가 추후 반복적으로 이루어져야 할 것이다.더욱 더 발전을 거듭하고 있으며, 외식은 여행과 여가 활동의 필수적인 요소로써 그 역할을 일조하고 있다. 이와 같은 여가시간의 증가는 독신자들에게는 좀더 많은 여유시간을 가족을 이루고 있는 가족구성원들에게는 가족과의 유대를 강화하는 휴식과 오락의 소비 트렌드를 창출시켰다. 이와 더불어 외식은 식사를 해결하기 위한 단순한 수단에서 벗어나 동기와 동반자에 따라 달라지는 행동 패턴을 나타내고 있으며, 연령과 목적에 따라 세분화되는 분명한 선호도를 나타낸다. 지난 10여 년간 외국으로부터 수입된 다양한

• Telecommunications review
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• v.24 no.5
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• pp.677-691
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• 2014

Connectivity is becoming more important keywords recently. For example, many devices are going to be connected to the internet. It is usually called as the IoT(internet of things). Many IoT devices can be evolved as a part of giant system of the world wide web. It is a great opportunity for us, because many new services can have emerged through this paradigm. In this paper, we propose a device virtualization framework for smart home service. The proposed framework connects the many home appliances devices and the internet using a dynamic protocol conversion. After our protocol conversion for device virtualization, our framework provides a RESTful API to access the resources of device through the internet. Therefore, the proposed framework can provide a variety of services, so it also can be developed into the ecosystem for smart home service. The current framework version only supports UPnP enabled devices of the home, but it can easily be extended to many other home middleware solutions. To verify the feasibility of the framework, we have implemented several service scenarios.

• Management & Information Systems Review
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• v.38 no.2
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• pp.29-46
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• 2019

O2O services, a form of mobile commerce, are increasing due to the widespread use of smartphones and the rational consumption trend of young consumers. In addition, the introduction of Social Commerce's O2O service has transformed customer experience into innovation. Therefore, the purpose of this study is to investigate the effect of O2O service characteristics and social commerce provider characteristics on the social commerce 's O2O service as a social psychological image that consumers have at the point of purchase and use time, as a smart shopper feeling and a cheapness shopper feeling. And the relationship between consumer satisfaction and intention to use through Structure Equation Modeling, and to suggest the implications for O2O service management that can provide greater satisfaction to consumers by identifying the process of creating satisfaction of O2O service. The results of the study show that price discounts and scarcity of social commerce's O2O service characteristics have shown that it increases smart shopper feeling. Also, it was confirmed that brand awareness and ease of purchase, which are characteristics of social commerce, confirms the increase of cheapness shopper feeling. We also confirmed the effect of smart shopper feeling and cheapness shopper feeling on satisfaction. This satisfaction has a positive effect on the intention to use. The result of this study is that it is necessary to reduce the cheapness shopper feeling of consumers and to emphasize the price discount and scarcity so that the smart shopper feeling occurs in order to satisfy the consumers who purchase O2O service products.

• Journal of the Korea Society of Computer and Information
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• v.27 no.4
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• pp.169-181
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• 2022

Currently, due to the activation of SNS live broadcasting, online services based on influencer live broadcasting are becoming a major consumption trend around the world. This study aims to verify the relationship between service quality, customer satisfaction, product characteristics, and acceptance intention for influencer broadcasting based on nfluencer broadcasting experiences in an Internet environment. This study conducted a survey of users who experienced live broadcasting on social media in Taiwan from June 29 to August 30, 2020, and a total of 253 copies were used for empirical analysis. The collected data were analyzed through SPSS 25.0. The results of the empirical analysis are summarized as follows. First, it was found that the service quality factors (reliability, tangibility, responsiveness, certainty, and empathy) of Taiwan's influencer live broadcast had a significant effect on live broadcast satisfaction. Second, it was found that the product characteristics of Taiwan's influencer live broadcasting had a significant effect on product satisfaction. Third, it was found that live broadcasting satisfaction and product satisfaction had a significant effect on the acceptance intention of new brands in Taiwan's influencer live broadcasting. This study will provide useful data for establishing efficient marketing strategies to improve live and product satisfaction and increase acceptance of new brands by identifying service quality factors and product characteristics of Taiwan's influencer Live Broadcasting.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.155-161
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• 2021

The purpose of this study is to understand the causal relationship between the safety behavior of delivery man and safety awareness, work environment, and occupational stress, to derive factors for enhancing safety behavior, and to manage them with priority. It seeks to provide basic data on the factors. In this study, with the help of a community site for delivery man, we conducted a questionnaire survey of a total of 119 delivery man working at distribution centers. Questionnaires were created using safety behavior, safety awareness, work environment, and occupational stress measurement tools created using survey questions from other studies. As a result of the analysis, there was a significant difference between safety education and the experience of accidents associated with working period. In addition, there was a significant correlation between safety behavior due to conflicts related to occupational stress, safety awareness and safety behavior, and safety behavior due to the safety system in the work environment. As a result, we investigated whether it was an accident and the factors that influence safety behavior, and concluded that appropriate improvements were needed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.11
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• pp.1599-1607
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• 2022

The data mainly used for the model are as follows: the personal information, the information of insurance product, etc. With the data, we suggest three types of models: content-based filtering model, collaborative filtering model and classification models-based model. The content-based filtering model finds the cosine of the angle between the users and items, and recommends items based on the cosine similarity; however, before finding the cosine similarity, we divide into several groups by their features. Segmentation is executed by K-means clustering algorithm and manually operated algorithm. The collaborative filtering model uses interactions that users have with items. The classification models-based model uses decision tree and random forest classifier to recommend items. According to the results of the research, the contents-based filtering model provides the best result. Since the model recommends the item based on the demographic and user features, it indicates that demographic and user features are keys to offer more appropriate items.

• Journal of the Korea Convergence Society
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• v.12 no.5
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• pp.267-274
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• 2021

This study was designed to investigate the variables affecting Chinese university students' selection factors for Korean drama. Participants in this study were 379 university students from Hunan Province, China. An online survey program(www.wjx.cn) was used to collect data for this study. The tool of this study was 'a tool for measuring the selection factors of Korean Dramas', and it was composed of two areas: completeness of work and recognition. The results of this study are as follows: First, the completeness of work factor are higher than the recognition of Korean dramas by Chinese university students. Second, there are differences in the factors for selection Korean dramas according to the gender, grade, age, major, and Korean Drama watching frequency of Chinese university students. Third, when Chinese university students select Korean Dramas, their preferred genre influences the selection factors for the level of work completion and recognition. Finally, it was discussed according to the results of this study, and suggested for the qualitative re-leap of Korean Dramas in the global era. In order to expand the Korean Wave market in China, cultural contents must be developed to embrace the sentiment of Chinese university students, a propagation strategy that reflects the latest consumption trends of Chinese youth must be established, and the sophisticated visual beauty of Korean Dramas must be realized.

• Korean Association of Arts Management
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• no.58
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• pp.179-204
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• 2021

Not only the consumption trend after the COVID-19 pandemic but also low financial interest rates have stimulated people to invest artworks. With the recent noticeable growth, art investments that mainly conducted by younger generation through online platform can be characterized by a fractional ownership in art market which means several people share one piece of artwork. This study explores 4 fractional ownership platforms in the domestic art market including Art Together, Art & Guide, Tessa, and Pica projects, using a business model canvas that describes nine key elements: Customer Segments, Value Proposition, Channels, Customer Relationships, Revenue Streams, Key Resources, Key Activities, Key Partners and Cost Structure. The four cases have similar business models, but the details of revenue streams are different. The key sources of revenue are the profit and commission of the work. Thus, maximizing the profit margin of artworks is the core of revenue streams, so selecting and purchasing highly profitable artworks are significant. Based on the analysis, there are 3 suggestions to continue fractional ownership platform businesses in art market successfully. First, it is required to have a long-term perspective on art investments, as a way to diverse asset portfolio. Second, business confidence should be increased to maintain customer loyalty. Third, the role of platforms as competent experts is important.

• Journal of Korea Entertainment Industry Association
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• v.14 no.7
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• pp.161-173
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• 2020

In-depth interview in the field of hospitality industry services was conducted in COVID- 19. Introduction of kiosks for non-face-to-face services using untact technology, reservation, pay systems, self-service, service improvement using room service should be carried out. It is also necessary to implement Instagram, Facebook, YouTube, P-blogs, online broadcasting and live commerce through the establishment of m-channel system through untact marketing sales channels in the hospitality industry now that the product composition to solve the pro -blem of untact marketing is drawing attention due to diversification of online sales channe -ls. Now, the recognition of important elements of service education and a establishment of differentiated system of untact marketing, expansion of untact sale channel, implementation of non-face-to-face counseling service and introduction of pre-booking, telecommuting were recognized as urgent parts. In particular, a service differentiation and importance of human services, which were recognized free of charge, have re-recognized as premium, and quality service aspect of the hospitality industry in untact and the direction to diversify marketing channels are presented.

• Journal of the Korea Society of Computer and Information
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• v.27 no.8
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• pp.241-251
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• 2022

Diagnosis and management of customer's skin condition is an important essential function in the cosmetics and beauty industry. As the social media environment spreads and generalizes to all fields of society, the interaction of questions and answers to various and delicate concerns and requirements regarding the diagnosis and management of skin conditions is being actively dealt with in the social media community. However, since social media information is very diverse and atypical big data, an intelligent skin condition diagnosis system that combines appropriate skin condition information analysis and artificial intelligence technology is necessary. In this paper, we developed the skin condition diagnosis system SCDIS to intelligently diagnose and manage the skin condition of customers by processing the text analysis information of social media into learning data. In SCDIS, an artificial neural network model, AnnTFIDF, that automatically diagnoses skin condition types using artificial neural network technology, a deep learning machine learning method, was built up and used. The performance of the artificial neural network model AnnTFIDF was analyzed using test sample data, and the accuracy of the skin condition type diagnosis prediction value showed a high performance of about 95%. Through the experimental and performance analysis results of this paper, SCDIS can be evaluated as an intelligent tool that can be used efficiently in the skin condition analysis and diagnosis management process in the cosmetic and beauty industry. And this study can be used as a basic research to solve the new technology trend, customized cosmetics manufacturing and consumer-oriented beauty industry technology demand.