• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.2
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• pp.370-379
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• 2018

The Korean government announced plans for the International Science Business Belt as a spatial area for promoting the linkage between scientific knowledge and commercialization in 2009. R&D and entrepreneurial activities are essential for the success of the International Science Business Belt. In particular, prioritizing the types of businesses is critical at the cluster establishment stage in that this largely affects the features and development of clusters comprising the International Science Business Belt. This research aims to predict the entry and growth of firms that specialize in four industrial clusters, including Big Science Cluster, Frontier Cluster, ICT Cluster, and Bio-Healthcare Cluster. For this purpose, we employ the Swann & Prevezer's industrial clustering model to identify sectors that affect the establishment and growth of industrial clusters in the International Science Business Belt, focusing on ICT, Bio-Healthcare and Frontier clusters. Data was collected from the 2014 Korean Innovation Survey (KIS) and University Alimi for the ICT cluster, 2014 National Bio Industry Survey and University Alimi for the Bio-Healthcare Cluster, and the 2015 National Nano Convergent Industry Survey and Annual Report of Nano Technology for the Frontier cluster. Empirical results show that the ICT service sector, bio process/equipment sector, and Nano electronic sector promote clustering in other sectors. Based on the analysis results, we discuss several policy implications and strategies that can attract relevant firms for the development of industrial clusters.

• Review of Korea Contents Association
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• v.15 no.3
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• pp.27-33
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• 2017

• Review of KIISC
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• v.30 no.4
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• pp.35-38
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• 2020

반려견·반려묘 등 반려동물이 사람인구 대비 1/5인 수준인 1000만 개체로 급증하고, 이에 따른 팻산업이 6조원 규모로 급성장하는 추세와 함께 RFIP칩 신체내부이식하는 형태의 동물등록제 실시에 대한 부정적인 시각과 거부감으로 인하여 최근 들어 반려동물의 비문(일명 코지문)·홍채 등 바이오인식기술을 이용한 개체식별기술에 대한 니즈가 증대되고 있는 실정이다. 이에 따라 2019년 부터 반려동물에 대한 바이오인식기술을 접목한 개체식별기술을 활용하는 동물등록제 적용을 위하여 동물보호법 개정작업이 활발히 진행될 것으로 전망되며, 반려동물의 유사한 품종에 대한 개체식별 필요성에 따라 팻보험 사기예방·유기견 예방·디지털 동물병원 헬스케어서비스·팻레저·팻복지 등의 다양한 팻산업 응용분야에서 바이오인식기술을 이용한 반려동물 개체식별의 필요성은 날로 증대될 것으로 전망된다. 이에 따라 본 논문에서는 텔레바이오인식기반의 반려동물 개체식별기술에 대한 연구필요성과 함께 TTA PG505 등 국내표준화 추진현황과 ITU-T SG17 등 국제표준화 추진현황을 살펴보고자 한다.

• Journal of the Korean Regional Science Association
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• v.39 no.2
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• pp.19-30
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• 2023

This study analyzed intra-regional disparities by using the concentration index of industrial organization theory. And the range of study is 11 cities in Chungcheongbuk-do province. This study aims to clarify the characteristics of the intra-regional disparities by using concentration ratio(CR) and Herfindahl-Hirschman Index. After the review of previous studies, we intend to study the intra-regional disparities using these two indexes. Target is the bio-health industry that all povinces in South Korea want to develop competitively. In addition the analysis was conducted by dividing the bio-health industry into four detailed fields(pharmaceuticals, medical devices, health functional foods, and cosmetics). These fields are based on the results of the city and county competitiveness-enhancing industry. The research results derived the intra-regional disparities index based on sales, the number of workers, and R&D expenses by detailed field. As a result it was confirmed that the strengths according to the detailed fields differed by region. It can be used as basic data in establishing differentiated industrial development strategies for each region in the future.

• Electronics and Telecommunications Trends
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• v.27 no.5
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• pp.64-72
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• 2012

물질의 상태를 알기 위해 사용되는 센서 기술은 전기적 신호와 정보 등을 감지하는 전자 기술뿐만 아니라 생물학을 포함한 바이오 기술과 나노 기술과의 융합을 통해 진화하고 있다. 이러한 진화는 아이폰을 시작으로 하는 IT 산업의 변화를 이끌 뿐만 아니라, 헬스케어 분야를 중심으로 빠르게 적용되고 있는 기술로써 첨단기술의 상징으로 자리매김하고 있다. 이미 많은 사람들이 알고 있는 유비쿼터스 사회에서 꼭 필요한 스마트 센서로써의 현주소를 파악하기 위해서 산업동향과 국 내외 주요 연구결과물들을 살펴보고, 향후 발전방향을 예측해 보고자 한다.

• Journal of Korea Society of Industrial Information Systems
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• v.26 no.4
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• pp.1-9
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• 2021

This study was to investigate the types of emergencies transported by the Southwestern Coast Guard, the need for telemedicine guidance, and the perception and attitude of smart glasses as a communication method targeting 31 coast guards. A relatively high frequency and training requirement were confirmed for bleeding, abrasion, and abdominal pain. The demand for telemedicine guidance on medication and triage was higher, and the perceived usefulness and attitude scores for the use of smart glasses were 3.76±0.61 and 3.64±0.45, respectively. A moderate correlation between perceived usefulness and attitude toward smart glasses was confirmed (r=.630, p<.01). With the development of technology, it is time to actively introduce new devices such as smart glasses.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.563-565
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• 2023

Acupuncture and acupressure apply needles or pressure to anatomical points for therapeutic benefit. The over 350 mapped acupuncture points in the human body can each treat various conditions, but anatomical variations make precisely locating these acupoints difficult. We propose a computer vision technique using the real-time hand and face tracking capabilities of the MediaPipe framework to identify acupoint locations. Our model detects anatomical facial and hand landmarks, and then maps these to corresponding acupoint regions. In summary, our proposed model facilitates precise acupoint localization for self-treatment and enhances practitioners' abilities to deliver targeted acupuncture and acupressure therapies.

• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.1
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• pp.139-149
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• 2022

The study aims to understand the impact the consumption value changed by COVID-19 has on the purchasing behavior of industry foodservices dietitians and to provide baseline data in setting the marketing strategies for the food materials distribution companies in the future. The main survey was conducted for eight days from May 13th to 20th 2021 and 260 copies were collected and analyzed. Through the results of the study, the following conclusion elicited. First, consumption values that impact purchasing behaviors of industry foodservices dietitians are functional value and situational value. Second, for dietitians working at directly managed foodservice establishments, the higher the functional value of the food materials is, the higher the purchasing behavior. But such correlation was not found in the case of dietitians at consignment establishments. Third, compared to before and after COVID-19, the importance of functional value of food materials decreased, while the importance of situational value increased. Therefore, it is assumed that establishing marketing strategies differentiated by direct and consignment management will contribute to the energetic sales of the food material companies in the era of post COVID-19.

• Information Systems Review
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• v.25 no.3
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• pp.163-177
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• 2023

This research aims to identify key initiatives and a policy approach to support the industrialization of the sector. The research collected a total of 91,873 news data points relating to healthcare between 2013 to 2022. A total of 20 topics were derived through topic modeling analysis, and as a result of time series regression analysis, 4 hot topics (Healthcare, Biopharmaceuticals, Corporate outlook·Sales, Government·Policy), 3 cold topics (Smart devices, Stocks·Investment, Urban development·Construction) derived a significant topic. The research findings will serve as an important data source for government institutions that are engaged in the formulation and implementation of Korea's policies.

• Proceedings of the Korea Contents Association Conference
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• 2015.05a
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• pp.231-232
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• 2015

최근 유전체학, NGS(Next Generation Sequencing) 기술, IT/NT 장비의 발전 등에 따라 방대한 양의 바이오-메디컬 데이터가 생산되고, 이에 따라 빅데이터를 활용한 헬스케어 산업이 급속히 발달하고 있으며, 이와 관련된 빅데이터 기술은 국민의 건강 증대와 건강한 고령 삶을 제공하는 핵심 기술로 급부상하고 있다. 패스웨이는 단백질, 유전자, 세포 등의 생체적 요소 간의 역학관계 혹은 상호작용 등을 네트워크 형식으로 표현한 생물학적 심층지식으로, 바이오-메디컬 빅데이터 분석에 있어서 널리 활용되고 있다. 하지만 패스웨이는 매우 다양한 형태를 갖고 용량이 매우 큰 빅데이터로 이를 분석하는데 많은 시간이 소요된다. 그래서 본 논문에서는 세계적으로 가장 우수하고 방대한 양의 패스웨이를 제공하는 KEGG 패스웨이 데이터베이스로부터 사용자가 관심 갖는 패스웨이만을 자동 수집하고 패스웨이 간 계층구조를 기반으로 네트워크를 구성 후, 해당 패스웨이 네트워크에 대한 클러스터링과 핵심 패스웨이 선정을 통해 패스웨이 간의 역학관계 또는 상호작용을 직관적으로 분석할 수 시스템을 제안했다.