• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.3
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• pp.83-95
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• 2022

A technology can be newly formed through technological convergence achieved by the intersection of two or more technological fields. As the complexity of technology development increases, related interest is increasing. Researches have been carried out on the concept, related indicators and analysis of technology convergence including method of social networks. This paper intends to suggest an analysis method of technology convergence using social networks based on the company's possessing technologies. According to the similarity of technologies among companies, a social network was constructed and the technology convergence was analyzed using k-core, a social network subgroup method. Using the result of k-core, base and element technologies for convergence was identified with their relations. Using the suggested method, technology convergence was analyzed on real technology data of defense-industry companies. When the minimum technology similarity is 0, the overall technology convergence relations between technology elements can be identified. In the scope of data in this paper, technologies of defense S/W, aircraft structure and structural materials are identified as important base technology for convergence.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.07a
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• pp.573-573
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• 2020

현재 운영되고 있는 대국민 재난 예.경보시스템은 텍스트 및 음성으로만 재난정보를 제공함으로써 고령자 및 외국인, 장애인들과 같이 재난상황 하에서의 사회적 약자에게는 재난대응을 위한 인지가 쉽지 않으며, 제한된 텍스트 정보로 인해 재난상황을 전달하기에 한계가 존재한다. 이를 해결하기 위해서는 다매체를 통한 다양한 멀티미디어 콘텐츠가 포함된 재난정보에 관한 연구와 이를 자동적으로 생성할 수 있는 기술이 필요하다. 국내에서는 디지털사이니지 및 버스정보시스템과 더불어 최신 ICT 기술인 '5G', 'UHD'를 활용한 멀티미디어 재난정보를 수용하여 제공할 수 있는 고도의 인프라 기반이 마련되어 있어 현재보다 많은 재난정보를 전달하여 국민들로 하여금 신속.정확한 재난상황 인지를 가능케 할 수 있다. 다매체에서 활용 가능한 멀티미디어 재난정보 콘텐츠는 행정안전부 '재난정보공동이용시스템'과 기상청 '지진조기경보시스템'에서 제공하고 있는 다양한 관측 및 분석정보를 기반으로 자동적으로 생성된다. 생성된 멀티미디어 재난정보 콘텐츠는 '발생재난 종류'와 '재난발생 일시', '발생지역'과 같은 기본적인 정보를 포함하여 지도기반 '재난발생 위치'와 '대피소 위치', '대응요령', '기타 정보' 등으로 구성된다. 이러한 재난 콘텐츠는 '경보'와 '후속 경보'를 통해 제공되는 정보에 차이를 두어 상황에 맞게 인지할 수 있도록 연구하였다. 다만, 이러한 재난정보 콘텐츠 제공 서비스를 가능케하기 위해서는 현재와 같은 재난정보 전달체계와 더불어 웹서비스 및 양방향 방송망을 활용할 수 있는 전달체계가 확보되어 보다 신속하게 제공될 수 있도록 기반 기술 연구가 필요하다.

• Korean Chemical Engineering Research
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• v.58 no.2
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• pp.197-208
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• 2020

This study was carried out to analyze spatial and temporal incidence characteristics of scrub typhus and predict the future incidence of scrub typhus since the incidences of scrub typhus have been rapidly increased among vector-borne diseases. A maximum entropy (MaxEnt) ecological model was implemented to predict spatial distribution and incidence rate of scrub typhus using spatial data sets on environmental and social variables. Additionally, relationships between the incidence of scrub typhus and critical spatial data were analyzed. Elevation and temperature were analyzed as dominant spatial factors which influenced the growth environment of Leptotrombidium scutellare (L. scutellare) which is the primary vector of scrub typhus. A temporal number of diseases by scrub typhus was predicted by a deep neural network (DNN). The model considered the time-lagged effect of scrub typhus. The DNN-based prediction model showed that temperature, precipitation, and humidity in summer had significant influence factors on the activity of L. scutellare and the number of diseases at fall. Moreover, the DNN-based prediction model had superior performance compared to a conventional statistical prediction model. Finally, the spatial and temporal models were used under climate change scenario. The future characteristics of scrub typhus showed that the maximum incidence rate would increase by 8%, areas of the high potential of incidence rate would increase by 9%, and disease occurrence duration would expand by 2 months. The results would contribute to the disease management and prediction for the health of residents in terms of public health.

• Journal of Korea Port Economic Association
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• v.29 no.4
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• pp.1-25
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• 2013

The purpose of this paper is to estimate economic benefits for the investment of railway transshipment system with non-powered turntable. The freight transport by railway can have decided advantages over trucks in terms of energy efficiency, emissions and cost for certain freight movements, just as transportation in the metropolitan region can have great advantages over driving truck. But the freight transport by truck should gain significant mobility benefits from a freight railway system. Thus, the railway transshipment system with non-powered turntable which is coupled railway transport advantages with load transport advantages has been developed and used in the european countries. This research has conducted the empirical analysis, by calculating the investment of railway transshipment system with non-powered turntable. The key factor for the economic benefits for the non-powered turntable is the utilizing throughputs. This demand is influenced by the throughput in the railway transshipment system. The main results of this paper are as follows: railway transshipment system with non-powered turntable does not have economic benefit for investment. We recommend that the plan for investment has to be considered the modification.

• Journal of the Economic Geographical Society of Korea
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• v.23 no.1
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• pp.56-70
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• 2020

This study identifies the impact of social network service (SNS) on the spatial characteristics of retail stores locations in the hyper-connected society, which have been closely related to the everyday lives of urban residents. In particular, we focus on the changes in the spatial distribution of restaurants since the information retrieval process was added to the decision-making process of a consumer's restaurant selection. Empirically, we analyze restaurants in Seoul, Korea since the smart-phone was introduced. By applying the kernel density estimation and Moran's I index, we examine the changes in the spatial distribution pattern of restaurants during the last ten years for running, newly-open and closed restaurants as well as SNS popular ones. Finally, we develop a spatial regression model to identify geographic features affecting their locations. As the results, we identified geographical variables and online factors that influence the location of restaurants. The results of this study could provide important groundwork for food and beverage location planning and policy formulation.

• Journal of Korea Entertainment Industry Association
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• v.15 no.3
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• pp.289-295
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• 2021

Today, the most important factor affecting the quality of human life is thought to be due to the environment. The importance of environmental monitoring systems to improve human life and improve welfare as the magnitude of the damage increases year by year due to the rapid increase in the frequency of hail, typhoons, collapse of incisions, landslides, etc. Is increasing day by day. Among environmental problems, problems caused by water quality have a very high proportion, and as there is a growing concern that the scale of damage will increase when water pollution accidents occur due to urbanization and industrialization, the demand for social water safety nets is increasing. have. In the last 5 years, 259 cases of water pollution (Han River 99, Nakdong River 31, Geum River 25, Seomjin River and Yeongsan River 19, and 85 others) have occurred in the four major river basins. Caused damage. Therefore, it is required to establish a water quality environment management strategy system based on big data that can minimize the uncertainty of the water quality environment by expanding the target of water quality management from the current water quality management system centered on the four major rivers to small and medium-sized rivers, tributaries/branches, and reservoirs. In this paper, we intend to construct and analyze a water quality monitoring system based on big data that can present useful water quality environment information by analyzing the water quality information accumulated for a long time.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.1087-1094
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• 2009

As online community was revitalized, the internet became the second space for people's everyday life. People enter into a connection with other on-line members and they maintain and extend their relationships. Such relationships can be analyzed and visualized with social network analysis. The method oftentimes envisions the structural elements of complex social life. The study aims at visualizing the relationships among the Cyworld users and designs an application "Blow Blow Your Pinwheel", the main purpose of this application is visualizing social relationships between ego and '1chons' which is a concept of friendship in Cyworld. Designing such an application, the study focuses on closeness of relationships which we think is composed of 1)proximity 2)similarity, 3)familiarity, and 4)reciprocity. The study used these concepts in measuring the strength of relationship between ego and other 1chons(friends). Specifically, we devised survey questionnaires which asked users to evaluate the importance of the above factors of closeness, and implemented the result in calculating the strength of the relationship between ego and other by giving weights for each factor. These measurements then were applied in visualizing the relationships in the application, we designed. Through the application, we can compare on-line relationships with off-line relationships and attempt for the new approach of Social Networks.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.2
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• pp.551-564
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• 2020

The fashion industry in Korea has grown into a core sector that contributes to the development of national industries, but it has shown negative growth due to the advent of a low-growth era. This study aims to explore core texts related to variable factors affecting the apparel industry in Korea (and the environmental change factors of apparel companies) by using network analysis from a diachronic point of view. In addition, we discuss the implications of enhancing the value of fashion industries in Korea based on articles in fashion newspapers over five years. The conclusion of this study is as follows. First, as a suggestion for political and economic aspects, the government should minimize the damage caused by political influence by presenting new policies, or by communicating about the practical aspects of geopolitical issues and changes linked to the fashion industry. Second, as a suggestion of socio-cultural aspects, it is necessary to reduce uncertainty about the future by establishing a strategic system through cooperation with institutions that can predict future directions. Third, as a suggestion for management changes in the apparel industry, apparel companies in Korea should recognize the importance of consciousness of promoting development for a better society from coexistence, rather than corporate profit.

• Journal of Korean Home Economics Education Association
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• v.23 no.4
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• pp.35-48
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• 2011

The purpose of this study was to examine the relationship between attachment and automatic thoughts of adolescents. A sample of 443 students at middle and high schools participated. Adolescents reported parent and peer attachment using the modified version of Inventory of Parent and Peer Attachment (Armsden & Greenberg, 1987) and automatic thoughts using the modified version of Automatic Thought Questionnaire (Hollon & Kendall, 1980; Ingram & Wisnicki, 1988). Multiple regression analyses indicated that effects of attachments were different by the type of automatic thoughts. Specifically, trust in peer relations, trust in father-adolescent relations and communication in mother-adolescent relations were important predictors of positive automatic thought, whereas alienation in father-adolescent relations, alienation in peer relations and trust in mother-adolescent relations were important predictors of negative automatic thought.

• Journal of the Korean Society for information Management
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• v.27 no.3
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• pp.103-123
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• 2010

Recently, research community in Korea has shown a rapid growth in collaborating with Asian countries. In this study, we analyzed research collaboration among Asian countries using network analysis of co-authored papers as well as subject categories. The network of co-authored papers among Asian countries over the 5-year period since 2005 revealed that Japan, China, and Korea were positioned at the central part of the network and highly productive in collaborative research. In the analysis of the subject categories of co-authored papers in four different Asian regions with 2009 data, physics and material science were found the most productive subject fields in collaborative research in Northeast Asia. On the other hand, medical science was the most collaborative subject field in the remaining Asian regions.