• 한국병원경영학회지
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• 제spc호
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• pp.51-60
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• 2016

The forms of healthcare service delivery emerges from the interaction between technological progress and institutional changes. Building a healthcare system which enables effective and efficient patient care is a imperative to a sustainable operation of a society. Identifying of a promising medical technologies and diffusing them consists of the basic tasks of a good healthcare system. Inducing of a promising innovation in healthcare and utilization of the innovation requires a deep understanding of healthcare innovation system and delicate governmental intervention to the effective functioning of the system. Therefore, the support for R&D in healthcare field should be given to social and institutional technologies for the better organization of healthcare delivery and consumption system as well as basic and applied medical sciences.

• 한국빅데이터학회지
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• 제9권1호
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• pp.197-208
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• 2024

오늘날 대학에서 소속 교원을 종합적으로 평가하기 위해 실시하고 있는 교원업적평가는 제도의 취지와는 달리 정량적 평가 중심 시스템으로 인해 제도의 취지와 다른 결과가 나타나고 있다. 특히 연극예술분야는 다른 학문분야에 비해 성과물의 주관적인 성격이 강해 기존의 정량적 평가 방법으로는 연구 및 창작업적의 성과를 공정하고 객관적으로 측정하기 어렵다는 특성이 있다. 이에 본 연구에서는 연극예술분야 연구 및 창작업적평가 개선을 위해 빅데이터 활용 방안을 제안하였다. 먼저 국내 주요 대학의 연극예술 관련 학과에서 시행 중인 연구 및 창작업적평가 기준과 방법을 조사하고, 현재 국내 연극예술분야 연구 및 창작업적평가 시스템과 관련한 주요 쟁점을 분석한 다음, 공연예술통합전산망(KOPIS)의 빅데이터를 활용한 연극예술분야 연구 및 창작업적평가 시스템의 개선 방안을 제시하였다. 본 연구를 통해 연극예술분야 교원들의 연구와 창작활동을 보다 효과적으로 지원하고, 대학 경쟁력을 강화할 수 있는 방안이 마련될 수 있기를 기대한다.

• Journal of Forest and Environmental Science
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• 제28권2호
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• pp.84-96
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• 2012

A special type of indigenous knowledge on plants utilization and farming system was explored by the Garo tribe community in the North-East region of Bangladesh, which correspond to the severe dependence on homestead forest. Results show that the Garo are totally dependent on the natural resources and that the extent of their dependency is faithfully reflected in their ethno-botanical knowledge. Dependencies that the study addressed focused on various aspects of food, fruit, energy, timber and health care on plants products. Garo tribe community in Bangladesh followed agrosilvipastoral system in their homesteads. They have indigenous hunting procedure to trap the animal in the forest. A total of 9 foods, 15 fruits, 12 energy-producing and 11 timber species was found and recorded that the Garo used in their daily life. Moreover, Garo used 23 medicinal plants species and have vast indigenous knowledge about using herbal medicine in daily health care practices. The Garo women do mostly the household activities, managing homestead forest and helping agricultural field where men perform all hard working activities like ploughing, cutting trees, digging the soil, preparation of horticultural and agricultural land, hunting, etc. The overall quality of life of the Garo could be considerably upgraded if ethno-botanical issues and their own indigenous knowledge will complement with scientific knowledge. The findings of the study conclude that the conservation of the indigenous knowledge of the Garo tribe related to plants utilization can also be turned to good account in forest conservation and is an important tool in this tribal area of Bangladesh.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2022년도 춘계학술대회
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• pp.304-305
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• 2022

최근 디지털 통신기술이 해사(海事)분야에도 널리 적용되기 시작하면서 대용량의 데이터가 축적되고 있으며, 이에 따라 데이터과학 및 인공지능 기술을 활용하여 새로운 가치를 창출하기 위한 시도가 널리 이루어지고 있다. 대표적으로 우리나라 해양수산부는 LTE-Maritime 통신망을 기반으로 지능형 해상교통정보 서비스를 2021년부터 국민들에게 제공하고 있으며, 이와 함께 대용량의 해상교통정보를 데이터과학 기반으로 분석하여 서비스를 개선하는 등 부가가치를 창출하기 위한 연구개발이 진행되고 있다. 한편 이러한 해사 분야의 데이터 기반 연구를 수행하기 위해서는 연구자가 원하는 데이터를 적시에 제공받아 활용할 수 있는 법제도적 연구 환경의 조성이 필수적이다. 이번 연구에서는 우리나라 해사 분야 데이터의 종류를 살펴보고, 과학적 분석 및 활용과 관련된 법제도를 식별하였다. 연구 결과 개별 해사데이터의 활용을 제한하는 법제도적 요인이 있음을 확인하였으며, 이를 개선하여 데이터 기반 연구개발을 촉진하기 위한 방안을 제시하였다.

• 전기학회논문지
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• 제67권12호
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• pp.1577-1586
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• 2018

The emergence of the Smart Grid is an integrated solution for the next generation power system that combines IT technology in the power system to create optimal energy utilization and various services. However, these convergence technologies (power systems and information communications) are not only improving the related technologies but also producing various problems especially exposure to cyber risk. In particular, the intelligent power grid has security vulnerabilities through real-time information sharing among various organically linked systems, and it is more complicated than the cyber risk problem in the existing IT field and is directly connected to national disaster accidents. Therefore, in order to construct and operate a more stable smart grid, this paper analyzes the system of power system control system in Korea, and proposes a cyber security element definition and a countermeasure establishment method of power monitoring & control systems based on security standards of smart grid (No. SPS-SGSF-121-1-1).

• 한국빅데이터학회지
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• 제8권1호
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• pp.35-47
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• 2023

It is crucial to develop effective and efficient big data analytics methods for problem-solving in the field of business in order to improve the performance of data analytics and reduce costs and risks in the analysis of customer data. In this study, a big data-driven data analysis system using artificial intelligence techniques is designed to increase the accuracy of big data analytics along with the rapid growth of the field of data science. We present a key direction for big data analysis systems through missing value imputation, outlier detection, feature extraction, utilization of explainable artificial intelligence techniques, and exploratory data analysis. Our objective is not only to develop big data analysis techniques with complex structures of business data but also to bridge the gap between the theoretical ideas in artificial intelligence methods and the analysis of real-world data in the field of business.

• KEPCO Journal on Electric Power and Energy
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• 제7권1호
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• pp.115-123
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• 2021

Through machine learning-based load prediction, it is possible to prevent excessive power generation or unnecessary economic investment by estimating the appropriate amount of facility investment in consideration of the load that will increase in the future or providing basic data for policy establishment to distribute the maximum load. However, in order to secure the reliability of the developed load prediction model in the field, the performance comparison verification between the distribution line load prediction models must be preceded, but a comparative performance verification system between the distribution line load prediction models has not yet been established. As a result, it is not possible to accurately determine the performance excellence of the load prediction model because it is not possible to easily determine the likelihood between the load prediction models. In this paper, we developed a reliability verification system for load prediction models including a method of comparing and verifying the performance reliability between machine learning-based load prediction models that were not previously considered, verification process, and verification result visualization methods. Through the developed load prediction model reliability verification system, the objectivity of the load prediction model performance verification can be improved, and the field application utilization of an excellent load prediction model can be increased.

• 대한예방한의학회지
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• 제21권2호
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• pp.23-34
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• 2017

Objectives : The aim of this study was to survey the present utilization of pattern identification(PI) by chronic disease and using PI system in the clinical field among Korean medicine doctors. Methods : This survey was conducted from Oct. 1 to Oct. 31, 2014 by face-to-face interview using structured questionnaire. The subjects were 400 Korean medicine doctors who worked in hospitals or clinics. The questionnaire consisted of whether use clinical experience by chronic disease and the utilization of PI, the utilization of PI systems, the PI utilization rate, and the correlation between utilization PI and so on. General elements consisted of sex, age, clinical experience, place of work, district and so on. Results and Conclusions : This study revealed that clinical experience by chronic disease used 24.0-90.8%. The most chronic diseases were chronic fatigue and chronic pain, and least disease was cancer. Experience of the utilization of PI among Korean medicine doctors who have clinical experience was 87.8-97.1%. Also, the most utilized disease was chronic gastritis & gastric ulcer, and least disease was dyslipidemia. In this case, the most common cases were using the one PI between the utilization of PI systems, and the utilization ratio of Visceral PI was the highest. Phi coefficient between the PI systems in chronic diseases divided into positive correlation and negative correlation. The correlation of dementia between Triple energizer PI and Six excesses PI was the highest at positive correlation, and the frequency of occurrence between Defense, Qi, Nutrient and Blood PI was the highest at positive correlation. The correlation of osteoarthropathy between Meridian and Collateral PI and Sasang Constitutional Medicine was the highest at negative correlation. Also the frequency of occurrence between Qi, Blood, Fluid and Humor PI and Sasang Constitutional Medicine was the highest at negative correlation. We hope that additional studies on systematic PI research of chronic disease which needed to be in korean oriental medicine and meet the needs of clinical consumer continue based on this study.

• 한국컴퓨터정보학회논문지
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• 제25권12호
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• pp.173-186
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• 2020

본 논문에서는 지하공간 통합지도를 탐사 현장에서 활용하기 위한 모바일 단말기용 서비스 시스템을 설계 구현한다. 모바일 단말기용 현장활용 서비스 시스템은 지하공간 통합지도 관리 시스템에서 제공하는 타일맵, 3차원 지형정보, 지하구조물, 지하시설물, 지반정보 등을 현재 위치에 따라 3차원으로 가시화하도록 설계되었고, 현장 탐사로 얻어진 결과를 실시간으로 반영하도록 설계되었다. 또한, 제안된 시스템은 모바일 단말기의 무선 네트워크 및 기기 특성에 따른 제약 문제로 지하공간 통합지도를 glTF 포맷 형태로 전송 후 가시화 하도록 구현하였다. 구현된 모바일 서비스 시스템은 지하공간 탐사 현장에서 3차원으로 지도 및 공간 객체들을 가시화하여 사용자에게 정확하고 통합된 지하공간 데이터를 제공함으로써 탐사 현장에서의 사고 발생을 방지할 수 있다. 그리고, 갱신된 지하공간 데이터를 실시간으로 지하공간 통합지도 관리 시스템에 전송하여 최신성과 정확성을 유지할 수 있다.

• 토지주택연구
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• 제2권2호
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• pp.145-155
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• 2011

It is very important for successful construction to estimate the soil volume conversion factor of domestic weathered ground accurately and reasonably. However, it is very difficult to quantify the weathering degree of weathered ground at the field, so that the soil volume conversion factor used in Korea is often dependent upon the standard of foreign countries. Besides, the soil volume conversion factor of domestic weathered ground has been rarely studied and the use and accuracy of the soil volume conversion factor have been questioned persistingly. This study suggests a simple but robust method for estimating the soil volume conversion factor and measuring the weathering degree reasonably, and attempts to establish the utilization of a soil volume conversion factor measurement system based on experimental and analytical results. We made relationship between electrical resistivity and weathering degree presented from weathering index obtained through laboratory tests using field samples, and an estimation method of in-situ weathering degree for granites and a calculation method of soil volume conversion factor using electrical resistivity. And also, we suggested the photogrametry measurement-equipment system for measuring the volume of cargo box and the application plan of stand equipment and RFID for calculating the earth volume and distinguishing buggies in order to design the measurement system for soil volume conversion factor applicable to the field. Ultimately, the Weathered Earth-work Management Program (WEMP) was developed, so field managers may easily obtain the information about earth volume and soil volume conversion factor at the weathered ground.