• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.3
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• pp.285-290
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• 2016

In rural area, our farmers confront decreasing benefits owing to imported crops and increased cost. Recently, the government encourage the 6th Industry that merges farming, rural resources, and information and communication technology. Therefor the government makes an investment in supplying 'smart greenhouse' in which a farmer monitor growing crops and environment information to control growing condition. The objective of this study is developing an Moving Monitor and Control System for crops in green House. This system includes a movable sensing unit, a controlling unit, and a server PC unit. The movable sensing unit contains high resolution IP camera, temperature and humidity sensor and WiFi repeater. It rolls on a rail hanging beneath the ceiling of a green house. The controlling unit contains embedded PC, PLC module, WiFi router, and BLDC motor to drive the movable sensing unit. And the server PC unit contains a integrated farm management software and home pages and databases in which the images of crops and environment informations. The movable sensing unit moves widely in a green house and gathers lots of information. The server saves these informations and provides them to customers with the direct commercing web page. This system will help farmers to control house environment and sales their crops in online market. Eventually It will be helpful for farmers to increase their benefits.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.665-667
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• 2014

Wellness is IT fused with the user manage and maintain the health of a service can help you. If you are using an existing Fitness Center to yourself by choosing appliances that fit with the risk of injury in order to learn how the efficient movement had existed for a long time was needed. To resolve, use the personal training but more expensive cost of people's problems, and shown again in the habit of exercising alone will have difficulty. This paper provides a variety of smart phones based on a hybrid app with compatibility with the platform and personalized training market system. Users of the Fitness Center is built into smart phones in the history of their movement sensors or transmits to the Web by typing directly. This is based on exercise programs tailored to users via the training market. Personal training marketplace has a variety of users, check the history of this movement he can recommend an exercise program for themselves can be applied by selecting the. This provides users with the right exercise program can do long-term exercise habits can be proactive and goal setting.

• Journal of Korean Society of Disaster and Security
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• v.14 no.3
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• pp.1-16
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• 2021

Recently, large-scale projects are required in the water resources sector considering safety and publicitythe due to uncertainty of securing water resources and changes in the ecological environment by climate change. Among these large-scale projects, the projects that fall under the preliminary feasibility study are determined by comprehensive analysis based on economic analysis, policy analysis, and balanced regional development analysis. However, most of the results of the preliminary feasibility study showed a tendency to depend heavily on economic analysis. For this reason, projects in non-metropolitan areas sometimes fail in the preliminary feasibility study. To supplement this point, the Korea Development Institute revised the standard guidelines for preliminary feasibility studies for water resources sector projects that place a high weight on policy feasibility analysis. Therefore, the objective of this study is to analyze the cases of the preliminary feasibility study conducted previously and to suggest the direction of policy analysis in the preliminary feasibility study for water resources sector projects. For this, we analyze preliminary feasibility studies conducted for 18 years from 2002 to 2019, and suggest direction of policy analysis method using the benefit items not included in the economic analysis.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.328-328
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• 2016

우리나라는 생활용수의 대부분을 지표수에 의존하고 있는 실정이다. 그러나 지표수는 가뭄과 같은 기상변화, 수질사고 등으로 물 공급의 안정성에 문제가 되기도 한다. 향후 기후변화는 가뭄의 빈도와 강도를 증대시킬 것으로 파악되므로 수질 및 수량의 문제를 더욱 악화시킬 것으로 예상된다. 이러한 문제점을 해결하기 위해 지표수를 대수층 내에 인공적으로 함양한 뒤 대수층의 자연정화 기능에 의해 여과된 양질의 청정원수를 생산하는 기술을 본 연구에서 현장에 실증 적용하는 시설을 구축하였다. 이러한 기술은 기존의 지하 대수층을 이용하는 강변여과 등이 갖는 장점을 취하고 단점을 보완하였으며 친환경적이며 지속가능한 용수공급뿐만 아니라 청정 원수 확보를 통해 정수처리비용을 절감, 장기간의 가뭄이나 지표수 수질사고 시에 비상용수 공급 등 기존 취수원들과 달리 많은 장점을 갖고 있는 대규모 청정지하저수지 시험시설이다. 청정 지하저수지 기술이 주로 적용되는 지역은 해안지역 또는 하구 델타지역을 대상으로 한다. 해안 또는 델타지역은 해수침투로 인하여 염지하수가 부존되어 있기 때문에 지하수자원 활용에 매우 제한적이다. 따라서 지표수(담수)를 전처리하여 대수층에 인공적으로 함양을 하여 염지하수 대수층 안에 담지하수(담수체)를 형성할 수 있다. 이는 염수와 담수의 밀도차에 의해 희석되지 않는 특성을 이용한 기술이다. 청정 지하저수지 시험시설은 크게 지표수 취수시설, 전처리시설, 주입정, 양수정, 운영시스템으로 나눌 수 있다. 주입정 및 양수정은 원형의 형태로 지하저수지 조성범위 중심부에 9개의 주입정과 외각에 8개의 양수정을 설치하였다. 시험시설의 운영 과정은 하천수를 취수하여 전처리시설에서 탁도를 제거한 후, 피압대수층 염지하수에 동력으로 주입을 한다. 이때 기존에 부존되어 있던 염지하수를 밀어내고 담수체 지하수 형성을 유도한다. 일정기간 주입을 통해 목표 담수체를 만들어 내면 양수정에서 담수를 취수하되, 대수층의 모래자갈층을 일정거리 이동하여 취수하는 방식이다. 즉, 하천수를 대수층에 함양하고, 일정거리를 이동하여 취수하는 ASTR 방식의 대체수자원 확보 기술이다. 시험시설은 통합운영센터를 통해 원격감시 및 각종 제어/계측을 실시하며, 모니터링된 자료는 운영시스템에서 관리한다. 본 연구시설에서는 대수층 주입, 관정폐색, 미생물/지화학 수질반응, 지하수모니터링, 지반변형 등이 주요 핵심 연구를 진행하고 있도록 시설을 구성하였다. 본 시험시설은 2015년 8월 착공하여 2016년 4월에 완공 예정이며, 2016년 3월부터 주입을 시작하여 6개월간 피압대수층에 주입을 실시하고 이후부터 주입과 양수를 병행할 계획이다.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.267-278
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• 2020

ESS is an essential requirement for resolving power shortages and power demand management and promoting renewable energy at a time when the energy paradigm changes. In this paper, we propose a cost-effective ESS Peak-Shaving operation plan through load and solar power generation forecast. For the ESS operation plan, electric load and solar power generation were predicted through RMS, which is a statistical measure, and a target load reduction guideline for one hour was set through the predicted electric load and solar power generation amount. The load and solar power generation amount from May 6th to 10th, 2019 was predicted by simulation of load and photovoltaic power generation using real data of the target customer for one year, and an hourly guideline was set. The average error rate for predicting load was 7.12%, and the average error rate for predicting solar power generation amount was 10.57%. Through the ESS operation plan, it was confirmed that the hourly guide-line suggested in this paper contributed to the peak-shaving maximization of customers.Through the results of this paper, it is expected that future energy problems can be reduced by minimizing environmental problems caused by fossil energy in connection with solar power and utilizing new and renewable energy to the maximum.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.4
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• pp.189-196
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• 2023

As the manufacturing paradigm shifts, various collaborative robots are creating new markets. Demand for collaborative robots is increasing in all industries for the purpose of easy operation, productivity improvement, and replacement of manpower who do simple tasks compared to existing industrial robots. However, accidents frequently occur during work caused by collaborative robots in industrial sites, threatening the safety of workers. In order to construct an industrial site through robots in a human-centered environment, the safety of workers must be guaranteed, and there is a need to develop a collaborative robot guard system that provides reliable communication without the possibility of dispatch. It is necessary to double prevent accidents that occur within the working radius of cobots and reduce the risk of safety accidents through sensors and computer vision. We build a system based on OPC UA, an international protocol for communication with various industrial equipment, and propose a collaborative robot guard system through image analysis using ultrasonic sensors and CNN (Convolution Neural Network). The proposed system evaluates the possibility of robot control in an unsafe situation for a worker.

• The Bulletin of The Korean Astronomical Society
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• v.45 no.1
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• pp.56.1-56.1
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• 2020

한국의 고문헌 중에는 다양한 고천문 기록들이 한문 형태로 존재하며, 이를 학술적으로 활용하기 위해서는 전문 번역가 투입에 따른 많은 비용과 시간이 요구된다. 이에 인공신경망 기계학습에 의한 인공지능 번역기를 개발하여 비록 초벌 번역 수준일지라도 문장 형태의 한문을 한글로 자동번역해 주는 학술 도구를 소개하고자 한다. 이 자동번역기는 한국천문연구원이 한국정보화진흥원이 주관하는 2019년도 Information and Communication Technology 기반 공공서비스 촉진사업에 한국고전번역원과 공동 참여하여 개발 완료한 것이다. 이 연구는 고천문 도메인에 특화된 인공지능 기계학습용 데이터인 천문 고전 코퍼스를 구축하여 이를 기반으로 천문 고전 특화 자동번역 모델을 개발하고 번역 서비스하는 것을 목적으로 한다. 이를 위해 구축되는 시스템은 크게 세 가지이다. 첫째, 로그인이 필요 없이 누구나 웹 접속을 통해 사용이 가능한 클라우드 기반의 고문헌 자동번역 대국민서비스 시스템이다. 둘째, 참여 기관별로 구축된 코퍼스와 도메인 특화된 번역 모델의 생성 및 관리할 수 있는 클라우드 기반의 대기관 서비스 플랫폼 구축이다. 셋째, 개발된 자동번역 Applied Programmable Interface를 활용한 한국천문연구원 내 자체 서비스가 가능한 AITHA 시스템이다. 연구 결과로서 먼저 구축된 천문 고전 코퍼스 60,760건에 대한 샘플링 검수 결과는 품질 순도 99.9% 이상이다. 아울러 도출된 천문 고전 특화 번역 모델 총 20개 중 대표 모델에 대한 성능 평가 결과는 기계 번역 텍스트 품질 평가 알고리즘인 Bilingual Evaluation Understudy 평가에서 40.02점이며, 전문가에 의한 휴먼 평가에서 5.0 만점 중 4.05점이다. 이는 당초 연구 목표로 삼았던 초벌 번역 수준에 충분하며, 현재 개발된 시스템들은 자체 시험 운영 중이다. 이 연구는 특수 고문헌에 해당되는 고천문 기록들의 번역 장벽을 낮춰 관련 연구자들의 학술적 접근 및 다양한 연구에 도움을 줄 수 있다는 점에서 의의가 있다. 또한 고천문 분야가 인공지능 자동번역 확산 플랫폼 시범의 첫 케이스로써 추후 타 학문 분야 참여 시 시너지 효과도 기대해 볼 수 있다. 고문헌 자동번역기는 점차 더 많은 학습 데이터와 학습량이 쌓일수록 더 좋은 학술 도구로 진화할 것이다.

• The Journal of Bigdata
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• v.8 no.2
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• pp.125-131
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• 2023

Globally, drug side effects rank among the top causes of death. To effectively respond to these adverse drug reactions, a shift towards an active real-time monitoring system, along with the standardization and quality improvement of data, is necessary. Integrating individual institutional data and utilizing large-scale data to enhance the accuracy of drug side effect predictions is critical. However, data sharing between institutions poses privacy concerns and involves varying data standards. To address this issue, our research adopts a federated learning approach, where data is not shared directly in compliance with privacy regulations, but rather the results of the model's learning are shared. We employ the Common Data Model (CDM) to standardize different data formats, ensuring accuracy and consistency of data. Additionally, we propose a drug monitoring system that enhances security and scalability management through a cloud-based federated learning environment. This system allows for effective monitoring and prediction of drug side effects while protecting the privacy of data shared between hospitals. The goal is to reduce mortality due to drug side effects and cut medical costs, exploring various technical approaches and methodologies to achieve this.

• The Journal of Bigdata
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• v.8 no.2
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• pp.73-82
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• 2023

With 78% of current fisheries workers being elderly, there's a pressing need to address labor shortages. Consequently, active research on smart aquaculture technologies, centered on object detection and tracking algorithms, is underway. These technologies allow for fish size analysis and behavior pattern forecasting, facilitating the development of real-time monitoring and automated systems. Our study utilized video data from cameras outside aquaculture facilities and implemented fish detection and tracking algorithms. We aimed to tackle high maintenance costs due to underwater conditions and camera corrosion from ammonia and pH levels. We evaluated the performance of a real-time system using YOLOv7 for fish detection and the SORT algorithm for movement tracking. YOLOv7 results demonstrated a trade-off between Recall and Precision, minimizing false detections from lighting, water currents, and shadows. Effective tracking was ascertained through re-identification. This research holds promise for enhancing smart aquaculture's operational efficiency and improving fishery facility management.

• Journal of Engineering Education Research
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• v.12 no.1
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• pp.3-16
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• 2009

The purpose of this study is to prepare diverse measures to enhance the utilization of national authorized qualification. The detail objectives of this study are first, to re-establish the utilization scope and range of national authorized qualification through analysis of advance research and theory in various fields of learning on the function of qualification; and second, to set the direction to strengthen the utilization of national authorized qualification. Based on discussions on the various fields of learning on the function of qualification, this study divided the utilization scope of qualification into personal utilization for the benefit of the qualification acquirer him or herself and public utilization for the social and economic benefits. And according to this distinction, we prepared measures to strengthen the utilization of national authorized qualification. First of all, as a way to strengthen personal utilization of the national authorized qualification, we prepared measures to enhance accessibility and facilitate further improvement. As a means to enhance accessibility, we proposed restriction on setting the application condition, diversification of qualification authorization method, facilitation of partial qualification system and minimization of expense required to acquire qualification. Also for the further improvement, we proposed creation of job-level centered grade system and development of job-level centered qualification item by stage. For strengthening the public utilization of national authorized qualification, we come up with ways of strengthening flexibility, transparency, public trust and compatibility. As a way to strengthen flexibility, we proposed establishment of qualification demand monitoring system, expansion of direct participation of users on qualification management, establishment of qualification expiration period and its renewal. For the strengthening of transparency, we proposed to build general qualification information system and to utilize qualification recommendation system. To strengthen public trust, we proposed to strengthen the management of qualification management regulation, secure independency, establish internal audit system and strengthen post management of national authorized qualification. And lastly, we suggested that compatibility comparison standard between qualification and qualification level standard be developed for the strengthening of compatibility.