• The Journal of Society for e-Business Studies
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• v.22 no.3
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• pp.43-55
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• 2017

The market for medical tourism services in the world is steadily increasing and the medical tourism market in the South Korea is also showing high growth. However, they have also problem such as informal various information and services, irregularity price competition etc. In order to solve this problem, We have designed a medical tourism service model based on ICT specific on domestic medical ecosystem. First, analysis trends of domestic and overseas medical ecosystem and identify current problem of medical tourism. In order to solve existed problem we also have designed a medical tourism strategy. Based on the strategy, we have designed business service model based on ICT platform for as fit as Korea medical tourism status. The proposed medical tourism business service model can provide usability to customer and also can solve current medical tourism problem. We expect industrial effect and contribution to the activation.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.737-739
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• 2022

본 논문은 스마트 축사의 공기/수질/토양 오염을 감시, 살균 및 청소할 드론과 로봇에 관한 연구이다. 서론에서는 서귀포시에서 최근에 개발되어 보급을 시작한 스마트 축사 시스템의 시범서비스와 바른전자의 사례를 통해서 시스템의 발전 방향과 문제점들을 분석한다. 본론에서는 차세대 스마트 축사의 전체 구성도와 서비스 구성표를 작성함으로써 연구개발의 방향을 모색하고, 인공지능, 빅데이터 분석, 드론, 로봇의 협동 방식의 스마트 축사를 구상하여 현존하는 스마트 축사 시스템의 문제점들을 보완하였다. 결론적으로, 본 논문은 차세대 스마트 축사의 환경오염과 자연생태계위협을 근원적으로 해결할 입체적인 감지정보처리 및 실시간으로 오염/전염병의 예방과 선제적 대응을 포함한, 축사에서 발생할 오염 및 전염병 사고/사건을 관할 당국에 신고하고 행정명령을 처리하는 ICT기반시설을 제안한다.

• Journal of Digital Convergence
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• v.12 no.4
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• pp.85-92
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• 2014

In recent years, the government has pushed ahead with the convergence and innovation of science technology and information technology in order to realize the creative economy. So, a creative economy ecosystem has been set up to realize the creative economy for small businesses growth and small business happiness. According to proliferation of mobile area taking the lead in the recent IT transition, development of various convergence technologies related to mobile such as mobile Apps, SNS, and big data have been promoted. For realizing government's creative economy, systematic raising plan to create newly value-added market and occupation being considered with developing technology for mobile convergence based on imagination and creativity of small businesses is proposed in this paper.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.560-563
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• 2016

The changes in the medical and healthcare are started from the digital technology. The new field of digital healthcare has started fused with existing healthcare, medical technology, and digital technology. It can increase the service effect and reduce healthcare costs by applying ICT skills such as ICBM(Internet of Things, Cloud, Big data and Mobile), artificial intelligence, robotics, virtual, augmented reality, and wearable devices to healthcare services including healthcare, disease management. Recently there has been grafted an artificial intelligence technologies such as AlphaGo of Google and Watson of IBM onto the healthcare area. In this study, we analyze the main technology, ecosystem, platforms for digital healthcare, and lastly future changes in health care services and issues of digital healthcare.

• Journal of Information Technology Services
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• v.11 no.4
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• pp.277-294
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• 2012

The purpose of this research is to analyze big data structure and various objects in big data industry based on ecological perspective. Big data is rapidly emerging as a highly valuable resource to secure competitiveness of enterprise and government. Accordingly, the main issues in big data are to find ways of creating economic value and solving various problems. However big data is not systematically organized, and hard to utilize as it constantly expands to related industry such as telecommunications, finance and manufacturing. Under this circumstance, it is crucial to understand range of big data industry and to which stakeholders are related. The ecological approach is useful to understand comprehensive industry structure. Therefore this study aims at confirming big data structure and finding issues from interaction among objects. Results of this study show main framework of big data ecosystem including relationship among object elements composing of the ecosystem. This study has significance as an initial study on big data ecosystem. The results of the study can be useful guidelines to the government for making systemized big data ecosystem and the entrepreneur who is considering launching big data business.

• 한국벤처창업학회:학술대회논문집
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• 2021.04a
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• pp.61-65
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• 2021

세계적으로 창업 생태계가 구축되면서 기술창업 분야가 두각을 보이고 있다. 기술창업은 기술력을 통한 지속력뿐 아니라 혁신적으로 변화를 진행시키므로 기술에 대한 투자 동향을 날이갈수록 높아지고 있다. 하지만 기술이 발전하면서 함께 주목되고 있는 분야가 사회적 가치를 가지고 있는 소셜벤처이다. 특히 UN에서 발표한 지속가능한 발전목표(SDGs)의 경우 필수적으로 사업 비즈니스 모델적으로 채택된 분야를 갖고 있어야하며 비재무적성과를 판단하는 기준인 ESG 또한 필수적인 사회적 가치 요소로 떠오르고 있다. 이러한 흐름 속에서 기술 역량을 내세웠을 때와 사회적 가치를 내세웠을 때 투자자들은 어떤 역량과 특성을 더 선호하며 투자 유무가 결정되는지를 분석해보고자 한다. 결국 기술 역량 또는 사회적 가치 둘중 하나를 내세운다는 것은 기업의 이미지를 나타내는것과 같은 의미이다. 이에 기술역량과 사회적 가치가 기업이미지를 유능 또는 따뜻함 중 어떻게 나타나는지 알아보고 투자 유무에 미치는 영향을 보고자 한다. 본 연구에서는 기술창업 기업 기술 범위를 인공지능(AI), 빅데이터, 사물인터넷(IoT), 바이오(Bio)로 총 4개로 분류하였다. 기술 창업의 기술범위를 독립변수로 설정하였으며 기술창업에서 기술역량 또는 사회적 특성을 내세웠을 때 기업이미지가 유능하게 보여지는지 따뜻하게 보여지는지를 알아보고자 한다. 기업이미지가 유능함 또는 따뜻함으로 비춰졌을 때 벤처투자에서 투자 유무가 결정되는지를 검증하고자 한다. 검증 방법에서는 벤처투자자가 아닌 창업교육을 이수하는 대학생들을 대상으로 모의투자를 통해 연구를 진행하고자 한다.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.216-216
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• 2021

해저지진, 해저붕괴 및 해저화산분출 등에 발생되는 지진해일은 파장이 수십에서 수백 km에 이르는 장파로서 에너지 손실없이 먼 거리를 전파할 수 있으며, 수심이 상대적으로 얕은 해안가에 도달하면 범람에 의해 인명 및 재산피해를 야기시킬 수 있다. 예를 들어, 2004년 12월 26일에 발생한 수마트라 지진해일은 약 30만명의 인명피해와 약 10조원의 재산피해를 가져왔으며, 2011년 3월 11일에 발생한 동일본 지진해일은 약 2만명의 인명피해와 약 330조의 재산피해를 유발시켰다. 더욱이, 지진해일에 의해 폭발한 후쿠시마 원자력발전소에서의 방사능 유출은 10년이 지난 현재도 생태계 교란, 방사능 피폭 등의 피해를 일으키고 있다. 우리나라도 1983년 5월 26일 발생한 동해 중부지진해일에 의해 삼척시 임원항 및 인근에서 인명피해(1명 사망, 2명 실종)와 약 2억원의 재산피해가 발생하였다. 최근, 4차 산업혁명으로서 빅데이터를 기반으로 한 다양한 인공지능기술이 개발되고 있으며, 많은 분야에서 이 기술을 적용하고자 노력하고 있다. 특히, 과학 및 공학분야에서도 이를 융합하는 연구 및 활용하는 사례가 증가하고 있다. 본 연구에서는 1983년 발생한 중부지진해일에 의해 인명 및 재산피해가 발생한 임원항을 대상으로 지진해일 수치모형실험을 수행하며, 수치모형실험 결과를 토대로 인공지능 모델 중 합성신경망 (Convolution Neural Network)을 활용하여 인공지능을 통한 지진해일 범람구역을 산정 및 평가하고자 한다.

• Journal of Industrial Convergence
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• v.21 no.3
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• pp.1-15
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• 2023

Expectations for wireless communication technology are rising as a base technology that promotes innovation in various industries in line with the paradigm of digital transformation in the 21st century beyond the stage of being used only for communication service itself. In this study, in order to compare 6G technological competitiveness between Korea and leading countries, technological competitiveness was confirmed through PFS, CPP, and network analysis based on GaN Integrated Circuit patent data. Korea's 6G technological competitiveness was 0.62 in PFS and 3.93 in CPP, which were 32.8% and 19.9%, respectively, compared to leading countries. In addition, as a result of network analysis, the collaboration rate in the 6G field was 7.2%, and the collaboration ecosystem was very insufficient in most countries. In contrast, it was confirmed that Korea, unlike leading countries, has established a small-scale collaboration ecosystem linked by industry and academia. Thus, it is necessary to establish a strategy for 6G communication technology at the national level so that communication technology can be advanced based on a relatively well-established collaborative ecosystem.

• The Journal of the Korea Contents Association
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• v.19 no.7
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• pp.360-375
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• 2019

This paper tries to study the ecosystem after constructing the network of the continuing transactions associated with distribution industry with the data of more than 50 thousands firms provided by the Korean enterprise data (KED) for 2015. After applying the clustering method, one of social network analysis tools, we find the firms in the network grouped into 732 clusters occupying about 80% of whole distribution industry sales in KED data. The firms in a cluster have most of their transactions with other firms in the cluster. But the clusters have smaller firm numbers in the cluster and sales portion of the biggest firms in the industry than the case of the manufacturing industry. The Input-output analysis for the biggest distribution firms show that the small and medium size enterprise(SME)s have very high sale dependency on a main firm in some clusters. This fact implies more efficient fair transaction policies within the clusters. And small number of big distribution firms have very high rear production linkage effects on SMEs or on the 10th or 31th group with high portion of SME employment. They should be considered important in the SME growth and employment policies.

• Journal of Intelligence and Information Systems
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• v.22 no.4
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• pp.139-155
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• 2016

The purpose of this study is to find the research identity of the Korea Intelligent Information Systems Society through the profiling methods and co-word analysis in the most recent three-year('2014~'2016) study to collect keyword. In order to understand the research identity for intelligence information system, we need that the relative position of the study will be to compare identity by collecting keyword and research methodology of The korea Society of Management Information Systems and Korea Association of Information Systems, as well as Korea Intelligent Information Systems Society for the similar. Also, Korea Intelligent Information Systems Society is focusing on the four research areas such as artificial intelligence/data mining, Intelligent Internet, knowledge management and optimization techniques. So, we analyze research trends with a representative journals for the focusing on the four research areas. A journal of the data-related will be investigated with the keyword and research methodology in Korean Society for Big Data Service and the Korean Journal of Big Data. Through this research, we will find to research trends with research keyword in recent years and compare against the study methodology and analysis tools. Finally, it is possible to know the position and orientation of the current research trends in Korea Intelligent Information Systems Society. As a result, this study revealed a study area that Korea Intelligent Information Systems Society only be pursued through a unique reveal its legitimacy and identity. So, this research can suggest future research areas to intelligent information systems specifically. Furthermore, we will predict convergence possibility of the similar research areas and Korea Intelligent Information Systems Society in overall ecosystem perspectives.