• Journal of Korean Tunnelling and Underground Space Association
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• v.23 no.4
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• pp.221-232
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• 2021

Most of measurement sensors used for maintenance are continuously exposed to various environmental factors such as transportation and rainfall, so the possibility of breakage increases gradually. The maintenance measurement sensor of domestic subway tunnel shows an average of 14.2% to 14.8% of loss rate after about 5 to 6 years from installation, and it shows a sensor loss rate of about 13.9% in case of foreign countries. As a result, it can be seen that an average of 15% of maintenance measurement sensors at home and abroad cannot send measuring values after 5~6 years. In order to continuously collect accurate data, measurement data must be recovered by performing repair or replacement of the sensor, but some lost measurement sensors are buried after installation. So, there are many difficulties in repairing sensors, including cost and time. Therefore, in this paper, we propose lost measurement sensor data estimation technology based on data trend analysis using adjacent sensors.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.50-55
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• 2019

Recently Ransomware attacks are continuously increasing, and new Ransomware, which is difficult to detect just with a basic vaccine, continuously has its upward trend. Various solutions for Ransomware have been developed and applied. However, due to the disadvantages and limitations of existing solutions, damage caused by Ransomware has not been reduced. Ransomware is attacking various platforms no matter what platform it is, such as Windows, Linux, servers, IoT devices, and block chains. However, most existing solutions for Ransomware are difficult to apply to various platforms, and there is a limit that they are dependent on only some specific platforms while operating. This study analyzes the problems of existing Ransomware detection solutions and proposes the onboard module based Ransomware detection system; after the system defines the function of necessary elements through analyzing requirements that can actually reduce the damage caused by the Ransomware from the viewpoint of users, it supports various OS without pre-installation and is able to restore data even after being infected. We checked the feasibility of each function of the proposed system through the analysis of the existing technology and verified the suitability of the proposed techniques to meet the user's requirements through the questionnaire survey of a total of 264 users of personal and corporate PC users. As a result of statistical analysis of the questionnaire results, it was found that the score of intent to introduce the system was at 6.3 or more which appeared to be good, and the score of intent to change from existing solution to the proposed system was at 6.0 which appeared to be very high.

• Journal of The Korean Society For Urban Railway
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• v.6 no.4
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• pp.233-241
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• 2018

Recently, integrated railway safety monitoring and control system, which is a convergence system based on data distribution service for railway safety monitoring and control, is under development. It collects safety data of vehicle, signal, power and safety monitoring facilities in real time and adopts communication middleware based on distributed service for mass data processing. However, in the case of a server device used as an existing control server, the performance of the distributed service middleware can not be exhibited due to low hardware performance due to safety reasons. In the safety control system, 200,000 packets per second were set as the transmission target, but the performance test of the LAB was not satisfied. In this paper, we analyze the characteristics of railway data to improve the data collection performance of existing equipment and apply DDS-based streaming transmission method to the data model of signal facilities and vehicle facilities with large packet amount according to the analysis result. As a result, it was confirmed that the throughput was improved about 30.4 times when the hardware performance was the same. We plan to improve the data processing performance by applying it to real-time railway safety integrated monitoring and control system in the future.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.301-310
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• 2019

This study aims to examine eligibilities, services and delivery of services for the current end-of-life care and analyze the quality control of services for end-of-life care. We analyzed the literature and laws on end-of-life systems in Korean and the United States. Current end-of-life care, hospice and palliative care in Korea is being provided mainly in hospital setting. Quality control for the services focuses on setting the criteria for structures in hospitals (i.e. staffing, facilities and equipment). Whereas American end-of-life care system has much broader eligibility for service beneficiaries and provides care mostly at home. Also quality control for services includes process (delivering service) and outcomes, such as monitoring performance indicators and consumer's satisfaction. This is linked to annual payment. The comparative analysis findings contributed to give the next direction of current Korean end-of-life care system. It is nessary to establish the better and extensive end-of-life care system in Korea in considering other countries' end-of-life care systems based on more future research.

• Proceedings of the Korean Society for Information Management Conference
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• 2017.08a
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• pp.100-100
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• 2017

100년의 역사를 지닌 한국지질자원연구원(KIGAM)은 국내 유일의 지질자원 전문연구기관으로서 그간 생산한 조사 연구데이터는 우리나라 과학기술의 귀중한 역사적 학술적 가치가 큰 유산으로써 보존 가치가 매우 크다고 할 수 있다. 하지만 현재 KIGAM의 상황은 최종성과물 위주로 자료관리가 이루어지고 있으며, 조사 연구 과정에서 생산된 암석 토양 지하수샘플이나 조사 탐사장비를 통해 얻어지는 자료는 연구자 또는 연구실 팀에서 개별적으로 관리하고 있다. 이러한 자료관리체계는 자료의 공동 활용이 어렵고, 자료를 보유하고 있는 연구자의 퇴직이나, 조직개편으로 인한 팀 실의 분리 과정에서 자료의 손실과 훼손 가능성이 높고, 누가 어디에 어떤 자료를 무슨 형태로 보관하고 있는지 찾기 어려워 자료의 재활용도가 떨어질 뿐만 아니라, 이로 인한 중복 조사 연구 가능성도 배제할 수 없다. KIGAM은 지질자원분야 국가데이터센터 구축을 목표로 연구과정에서 생산되는 연구데이터의 체계적인 관리와 공유, 활용체계 구축을 위해 2015년도에 기획사업을 통해 중장기 로드맵을 포함한 추진전략을 수립하였으며, 한국과학기술정보연구원(KISTI)의 DataNest를 기술이전받아 지질자원 연구데이터 리포지토리 시스템(GDR: Geoscience Data Repository)를 개발하였다. GDR 시스템 개발을 위해 연구데이터 분류코드를 작성하였으며, 2016년부터 데이터관리계획(DMP: Data Management Plan)을 주요사업 연구계획서 양식에 포함시켜 제출하도록 하였다. 과거 KIGAM은 연구데이터를 수집, 관리하기 위해 몇 차례에 걸쳐 시도를 했지만 실패한 경험을 가지고 있다. 실패 요인에는 (1) 관련 정책, 제도, 조직, 인력, 예산 등 데이터 관리 인프라 부재, (2) 연구사업에서 생산된 데이터는 개인소유라는 인식 및 공유 의식 부족, (3) 데이터 관리 활동은 귀찮은 것이고, 시간 낭비라는 인식, (4) 데이터 관리 공개 공유 활동에 대한 보상체계 부재 등을 꼽을 수 있다. 즉, 제도를 포함한 인프라 부족과 경영진과 구성원의 인식부족이 제일 큰 원인으로 판단된다. 성공적인 연구데이터 관리를 위해서는 지속적이고 꾸준한 투자가 이루어져야 하지만 경영진의 의지에 따라 사업이 중단되기도 한다. 이러한 과거의 실패 요인에 대한 해결 없이 지난 1년 6개월 정도의 GDR 운영은 지지부진하였다. 이러한 문제점을 해결하기 위해서는 국가차원의 제도적 뒷받침이 따라야 한다. 즉 국가 R&D 성과물 관리차원에서 연구데이터를 주요 성과물로 관리해야 할 것으로 판단된다. 연구사업계획서에 DMP를 포함시키고, 연구주제 및 분야별로 데이터센터(혹은 데이터 리포지토리)를 지정하고, 국가 R&D에서 생산되는 연구데이터를 의무적으로 제출하도록 하는 것이다. 또한 데이터센터의 안정적이고 지속적인 운영을 위해 연구사업비 항목에 데이터 관리비를 신설하여 데이터센터의 운영비로 사용하도록 하면 예산문제도 어느 정도 해결 될 수 있을 것으로 본다. 또한 데이터 제출 및 인용도에 따라 데이터 생산부서 혹은 생산자에게 평가점수를 부여하는 등 보상체계 마련을 위한 연구도 필요할 것으로 보인다. 국가 R&D 연구데이터의 수집, 관리, 공유, 활용을 제대로 성공시키려면 국가 R&D 최고정책결정자의 지속적인 관심과 지원이 필수적이다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.1
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• pp.203-209
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• 2019

In this work, a new land-specific resistance measuring device (GM) and a measuring probe (Grounding Rod) are connected to the WENNER quadrant as power-line communication (PLC). In groups of two (P1,P2) probes, five to ten probes are installed in series on the ground at intervals of 1m, 2m, 4m, 8m, and 16m, respectively. If the PLC signal from the GMD is detected by the receiver of the Probe 1 (P1) for measurement, the minute voltage and current for measurement flow from the PSD (power supply) attached to the probe to the ground, and then, through the soil between P1 and P2, enters the Probe 1 (P2). The resistance value is then measured by the principle of voltage drop due to ground resistance. Measure the earth resistance every T seconds up to 1 trillion and store the measured data on the Arduino Server mounted on the main equipment. Stored measurement data can be derived from formulas by Ohm's Law and from inherent resistance (here,). Data obtained in real time will be linked to CDGES programs installed on Main PC, enabling data analysis and real-time monitoring of the ground environment on land. In addition, a three-dimensional display is possible with 3D graph support by identifying seasonal characteristics such as temperature and humidity of land (soils). The limitations of the study will require specific application measures of Test Bed for commercial access to a model that has been developed and operated experimentally.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.24 no.1
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• pp.18-29
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• 2019

ROV surveys were conducted using 500 meter mini class ROV with HD video camera, 2 LED lights, a simple manipulator and 8 thrusters near the Dokdo and Simheungtaek seamount. Total six dives have been conducted using the ROV "V8 SII" from Sweden and ROV's support ship, "KOSAL V" at 4 stations between 45 and 370 meters with diving time ranged from 30 to 120 minutes. Dense communities of sea anemone (Actinostolidae sp.) and ophiuroids (Ophiuridae sp.) on the surface of rocky bottom and snow crab on the soft bottom with muddy-sand were observed at northwestern part of Simheungtaek seamount. We obtained the following results 1) habitats information for snow crab, one of the major fisheries resources, and deep-sea fauna, 2) observation on the specific topography and sediment conditions, 3) observation of the seabed surface covered with the discarded fishing gears. This study represents the first report of in situ visual observation of deep-sea organisms and their habitats near the Dokdo slopes and flat top of the Simheungtaek seamount in the East Sea. These results indicated that immediate oceanographic survey using the mini class ROV is available in the East Sea.

• Korean journal of applied entomology
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• v.60 no.1
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• pp.135-143
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• 2021

Aerospace and geospatial technologies have become more accessible by researchers and agricultural practitioners, and these technologies can play a pivotal role in transforming current pest management practices in agriculture and forestry. During the past 20 years, technologies including satellites, manned and unmanned aircraft, spectral sensors, information systems, and autonomous field equipment, have been used to detect pests and apply control measures site-specifically. Despite the availability of aerospace and geospatial technologies, along with big-data-driven artificial intelligence, applications of such technologies to apple IPM have not been realized yet. Using a case study conducted at the Korea Apple Research Institute, this article discusses the advances and limitations of current aerospace and geospatial technologies that can be used for improving apple IPM.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.1-8
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• 2021

This study developed low-cost and high-efficiency pavement condition monitoring technology to produce the key information required for pavement management. A noise and artificial intelligence-based monitoring system was devised to compensate for the shortcomings of existing high-end equipment that relies on visual information and high-end sensors. From idea establishment to system development, functional definition, information flow, architecture design, and finally, on-site field evaluations were carried out. As a result, confidence in the high level of artificial intelligence evaluation was secured. In addition, hardware and software elements and well-organized guidelines on system utilization were developed. The on-site evaluation process confirmed that non-experts could easily and quickly investigate and visualized the data. The evaluation results could support the management works of road managers. Furthermore, it could improve the completeness of the technologies, such as prior discriminating techniques for external conditions that are not considered in AI learning, system simplification, and variable speed response techniques. This paper presents a new paradigm for pavement monitoring technology that has lasted since the 1960s.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.620-626
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• 2021

The purpose of this study is to examine the characteristics and industrial structure and to present a future vision through analysis of industrial agglomeration, growth, and industrial efficiency targeting the Chungnam display industry nurtured by regional industrial policies since 2002. The industrial scale and aggregate status were analyzed through the business scale quotient and location quotient, and the growth and pace of structural change in the industry were analyzed through the industrial growth rate and change of industrial structure. Analysis results found the display industry shows its solid status based on industrial agglomeration. The RLQ, added value ratio, and employment coefficient have a relatively high comparative advantage. However, the growth rate has declined, and the pace of structural change has become lower. The regional competitiveness has been deteriorating. It is necessary to develop strategies to help the industry evolve into a convergence display industry to secure competitiveness by forming value chains. The regional industrial policy 'Regional Innovation Growth Plan' should be utilized to foster local industries that consider the regional characteristics and development directions and to promote the shared growth of related subsidiary industries through fostering specialized complexes for materials, parts, and equipment.