Recently, supercomputers have entered the era of exascale beyond petascale. Overcoming the exascale barrier, which is the biggest problem with a large number of computing nodes and energy efficiency, was possible by using GPUs for computation in artificial intelligence, machine learning, and various high-performance computations. As evidenced by this, seven out of the ten world’s highest performing supercomputers are heterogeneous computing systems using GPUs. Accordingly, we developed a tool that can easily and conveniently monitor multiple vendors GPUs to support heterogeneous computing systems that are widely used in artificial intelligence and high-performance computations.

스마트팜 요소들 중에서 중요한 요인 중 하나는 환경 계측이 다. 본 연구에서는 오픈 소스 프로그램인 아두이노, 앱 인벤터 와 노드 레드를 이용하여 로라와 블루투스 무선 통신을 통한 환 경 계측 모니터링 시스템을 설계하였다. 이 시스템은 아두이 노, 로라 쉴드, 온습도 센서(SHT10), 이산화탄소 센서(K30) 로 구성되었다. 아두이노(Arduino) 프로그램에서 사용된 라 이브러리로는 LoRa.h, Sensirion.h, LiquidCrystal_I2C.h와 K30_I2C.h를 사용하였다. 일정한 주기로 센서에서 환경 데 이터를 받을 때, 데이터의 안정화를 위해 평균값을 사용한 코 딩을 사용하였다. 사용자 인터페이스로 노드 레드와 앱 인벤 터 프로그램을 이용하여 안드로이드 기반의 앱을 개발하였다. 아두이노의 시리얼 화면과 스마트 폰의 화면 및 노드 레드의 사용자 인터페이스에 출력되는 화면으로 센서에 위한 환경 자 료가 잘 수집되어 디스플레이되는 것을 볼 수 있었다. 이러한 오픈소스 기반의 플랫폼과 프로그램들은 다양한 농업 응용 분 야에 적용될 것이다.

본 연구는 낙동강하굿둑 개방으로 인한 하구 인근의 식생 변화를 모니터링하기 위해서 현재 식생에 대해서 조사하고, 하구수변식생평가지수를 통해서 식생의 건강성을 평가하였다. 장기모니터링의 첫 번째 조사로 낙동강하구 인근의 6개 구역에 대해서 2021년 7월과 10월 2차례 수행하였으며, 식생모니터링 및 수생식물, 수변식물, 육상식물의 종조성, 분포밀도 조사를 진행하였다. 조사구역 내에서 확인된 관속식물은 82과 192속 230종 1아종 28변종 3품종 262분류군으 로 파악되었다. KREVI를 통한 식생건강성 평가 결과는 1, 6번 구역이 두 차례 조사에서 모두 ‘매우 좋음’ 등급이었고, 2, 4번 구역은 ‘매우 좋음’에서 ‘좋음’으로 2차 조사결과가 낮게 산정되었으며, 3, 5번 구역은 1차 조사에 비해 2차 조사결과가 1등급 상향되었다. 조사구역 대부분의 건강성 등급이 대체로 높게 평가되었다. 기수역 조성을 위한 수문개 방 후 잠재자연식생의 대부분은 갈대군락으로 이루어질 것으로 예상되며, 수역과 인접한 버드나무군락의 경우 다소 면적이 좁아질 수 있으나 군락 형태를 유지하고, 염분농도가 매우 낮은 내륙지역 담수역의 경우 갈대가 대부분을 차지하며, 일부 물억새, 부들 등의 군락이 분포할 것으로 사료된다. 장기모니터링을 통해 이런 예상되는 변화를 관찰하 며, 건강한 기수역이 조성될 수 있도록 하굿둑 개방 운영방안 등 대책이 수립되어야 할 것으로 판단된다.

식물의 생장과 발달은 지하부 환경에도 영향을 받으므로 근 권 환경의 변수들을 관수전략의 수립에 고려하는 것이 매우 중요하다. 본 연구의 목적은 수분이동 특성이 다른 2종류의 암 면배지에서 FDR센서를 활용하여 체적함수율(VWC)과 Bulk EC(ECb) 그리고 식물의 뿌리가 이용하는 Pore EC(ECp)에 대한 관계를 분석하고, 이를 활용하여 이용가능한 근권 환경 데이터 수집과 보정 방법을 확립하고자 진행되었다. 실험은 물리적 특성이 다른 2종류의 암면배지(RW1, RW2)를 사용 하였다. FDR 센서를 활용하여 함수율(MC)과 ECb를 측정하 였으며, ECp는 체적함수율(VWC) 10－100%에서 배지 중 앙부위에 일회용 주사기를 이용하여 배지 잔류 양액을 추출 후 측정하였다. 이후 2종류 배지(RW1, RW2)에 서로 다른 농 도(증류수, 0.5－5.0)의 배양액을 각 체적함수율 범위(0－ 100%)로 공급하여 ECb와 ECp를 측정하였다. RW1, RW2 배지에서 ECb와 ECp의 관계는 3차 다항식에 가장 적합하였 다. 체적함수율(VWC) 범위 3차 다항식에 따른 ECb와 ECp 의 관계는 낮은 체적함수율(VWC) 10－60% 구간에서 큰 오 차율을 보였다. 체적함수율(VWC)범위에 따른 센서 측정값 (ECb) 및 식물 뿌리가 이용하는(ECp)의 상관관계는 2종류 배 지(RW1, RW2) 모두 Paraboloid 식에서 결정계수값이 각각 0.936, 0.947로 가장 높았다.

사물인터넷(IoT) 기술을 활용한 전력 사용량 모니터링은 스마트팜 운영비 절감 기술 개발을 위한 기초자료로 필요성이 부각되고 있다. 본 연구에서는 멜론 생산 스마트팜 운영 중 실시간 전력사용량 모니터링 시스템을 설치한 예를 소개하고 이 를 이용하여 수집된 데이터를 실시간으로 활용하는 방법을 제 안한다. 전력사용량 모니터링 시스템의 실증을 위하여 멜론 스마트팜에서 3개월의 멜론 재배기간 동안 보일러, 양분분배 시스템, 자동제어기, 순환팬, 보일러제어기, 기타 IoT 관련 유 틸리티 등 스마트팜 시설에서 사용하는 개별 전원 기구들의 전력사용량 데이터를 수집하였다. 모니터링 결과를 이용하여 전기에너지 소비패턴의 예시를 분석하고, 측정 데이터를 최 적으로 활용하기 위해 필요한 고려사항을 제시하였다. 본 논 문은 전력사용량 모니터링 시스템을 새로이 구축하고자 하는 유저들에게 기술적 진입장벽을 낮추고 생성된 데이터 활용 시 시행착오를 줄이는 데 유용한 자료가 될 것으로 사료된다.

When the leakage of radioactive material or radiation to the environment or a concern, it is important to accurately understand the impact on the environment. Therefore, environmental effects evaluation using modeling based on meteorological data and source-term data is carried out, or environmental radiation monitoring which is an emergency response activity that directly measures dose is performed. As lessons learned from the Fukushima accident, environmental effects evaluation and modeling cannot utilize during the emergency and decision-making process for protective action for the public. Thus, rapid environmental radiation monitoring is required. In Korea, when an emergency is issued at a nuclear facility, urgent environmental radiation monitoring is conducted based on the national nuclear emergency preparedness and response plan, which can provide important information for decisionmaking on public protective actions. A review of strategies for urgent environmental radiation monitoring is important in performing efficient emergency responses. The main purpose of urgent environmental radiation monitoring is to gather data for decisionmaking on public protective actions to minimize the damage from the accident. For effective data collection and distribution, support from the national and local government and local public organizations and radiation expertise groups, and nuclear facility licensee are required. In addition, an emergency environmental radiation monitoring manual is required to immediately perform environmental monitoring in an emergency situation. The manual for emergency monitoring should include the activities to be conducted according to the phases of the emergency. The phases of the emergency are divided into pre-leakage, post-leakage, intermediate, and recovery. The reasons for establishing strategies are government and public information, the implementation of urgent population protection countermeasures, predicting and tracking plume trajectory, and detection of any release, the protection of emergency and recovery workers, the implementation of agricultural countermeasures and food restrictions, the implementation of intermediate- and recovery-phase countermeasures, contamination control. Besides meteorological data, ambient dose rate and dose, airborne radionuclide concentration, environmental deposition, food, water, and environmental contamination, individual dose, and object surface contamination data are also required for making information for the public.

As the decommissioning and decontamination (D&D) of nuclear power plants (NPPs) has actively proceeded worldwide, the management of radiation exposure of workers has become more critical. Radioactive aerosol is one of the main causes of worker exposure, contributing to internal exposure by inhalation. It occurs in the process of cutting radioactive metal structures or melting radioactive wastes during D&D, and its distribution varies according to decommissioning strategies and cutting methods. Among the dominant radionuclides in radioactive aerosols, Fe-55 is known to be the most abundant. Fe-55, which decays by electron capture, is classified as a difficult-to-measure (DTM) radionuclide because its emitted X-rays have too low energy to measure directly from outside of the container. Generally, for measuring DTM nuclides, the liquid scintillation counting (LSC) method and the scaling factor (SF) method are used. However, these methods are not suitable for continuous monitoring of the D&D workplace due to the necessity of sampling and additional analysis. The radiation measurement system that can directly measure the radionuclides collected at the aerosol filter could be more useful. In this study, as preliminary research on developing the radioactive aerosol monitoring system, we fabricated a gamma-ray spectrometer based on a NaI (Tl) scintillator and measured the energy spectrum of Fe-55. A beryllium window was applied to the scintillator for X-ray transmission, and the Fe-55 check source was directly attached to the scintillator assuming that the aerosol filter was equipped. 5.9 keV photopeak was clearly observed and the energy resolution was estimated as 44.10%. Also, the simultaneous measurement with Cs-137 was carried out and all the peaks were measured.

Plastic scintillators can be used to find radioactive sources for portal monitoring due to their advantages such as faster decay time, non-hygroscopicity, relatively low manufacturing cost, robustness, and easy processing. However, plastic scintillators have too low density and effective atomic number, and they are not appropriate to be used to identify radionuclides directly. In this study, we devise the radiation sensor using a plastic scintillator with holes filled with bismuth nanoparticles to make up for the limitations of plastic materials. We use MCNP (Monte Carlo N-particle) simulating program to confirm the performance of bismuth nanoparticles in the plastic scintillators. The photoelectric peak is found in the bismuth-loaded plastic scintillator by subtracting the energy spectrum from that of the standard plastic scintillator. The height and diameter of the simulated plastic scintillator are 3 and 5 cm, respectively, and it has 19 holes whose depth and diameter are 2.5 and 0.2 cm, respectively. As a gamma-ray source, Cs-137 which emits 662 keV energy is used. The clear energy peak is observed in the subtracted spectrum, the full width at half maximum (FWHM) and the energy resolution are calculated to evaluate the performance of the proposed radiation sensor. The FWHM of the peak and the energy resolution are 61.18 keV and 9.242% at 662 keV, respectively.

Republic of Korea (ROK) is operating the Integrated Environmental Radiation Monitoring Network (IERNet) in preparation for a radioactive emergency based on Article 105 of the Nuclear Safety Act (Monitoring of Nationwide Radioactive Environment). 215 radiation monitoring posts are monitoring a wide area, but their location is fixed, so they can’t cover areas where the post is not equipped around the Nuclear Power Plants (NPPs). For this, a mobile radiation monitoring system was developed using a drone or vehicle. However, there are disadvantages: it is performed only at a specific cycle, and an additional workforce is required. In this study, a radiation monitoring system using public transportation was developed to solve the above problems. Considering the range of dose rates from environmental radiation to high radiation doses in accidents, the detector was designed by combining NaI (TI) (in the low-dose area) and GM detector (in the high-dose area). Field test was conducted by installed on a city bus operated by Yeonggwang-gun to confirm the performance of the radiation monitoring system. As a result of the field test, it was confirmed that data is transmitted from the module to the server program in both directions. Based on this study, it will be possible to improve the radiation monitoring capability near nuclear facilities.

Investigations and monitoring of environmental radiation are important for preventing expected accidents or for early detection of unexpected accidents, in nuclear facilities and the surrounding. In the event of an environmental radiation accident, it should be possible to identify and analyze the radiation-contaminated area. Therefore, a rapid radiation monitoring system is required for immediate response and necessary measures. In this study, the distribution of radiation mapping is performed on a contaminated area using 2-dimensional or 3-dimensional contour mapping techniques. The entire surrounding area can be understood at a glance by displaying the radiation contour line on the map of the measured area.

Considering the Fukushima nuclear accident and the marine discharge plan of contaminated (or treated) water, it is necessary a seafood monitoring system for radioactive material screening. Currently, radioactivity tests in seafood are conducting in Korea. Although current method using a HPGe detector can provide very low uncertainty in determining radioactivity, there is a limitation in that rapid inspection cannot be performed because of a time-consuming pretreatment process as well as long measurement time (typically 10,000 s). To overcome this limitation, we are developing an insitu inspection device, a kind of screening system, which can monitor the radioactivity in seafood in a near real-time basis. In this study, the actual seafood with a check source was measured to verify the reliability of the Monte Carlo simulation model. The detector used in the experiment was a 5-cm-thick polyvinyl toluene (PVT) plastic scintillator with a 0.5-cm-thick lead shield for background reduction. A Cs-137 check source was placed within seafood. The seafood used in the experiment was fishcake, raw oyster, and dried laver, which is the representative seafood of fish, shellfish, and seaweed. These three seafood products of the same size and shape as the manufacturing process were used to predict the performance realistically. We compared the energy spectrum of the Cs-137 check source obtained from measurements and simulations. The region of interest (ROI) around the Compton edge was set to reduce the influence of the background and electronic noise. The results showed that the measured and simulated spectrum were in good agreement.

For highly contaminated elements such as reactor pressure vessels or reactor internals, it is a viable option to cool-down and dismantle these elements in submerged (e.g. underwater) state. Several tools and processes such as saw cutting, water jet cutting or plasma cutting are currently used for underwater cutting, with each of them having their own advantages and disadvantages. The main disadvantage of these existing methods, especially saw and water jet cutting, is the generation of secondary waste that then needs to be filtered out of the water. In addition, in the case of water jet cutting, a considerable amount of abrasive material is added, which must also be stored. To overcome this drawback, the feasibility of using laser cutting under water to minimize secondary waste production has been actively studied recently. One of the challenges with the underwater laser cutting is to visually monitor the cutting process. Flowing air bubbles generated by the cutting gas and the flashing light emitted from the laser and melting material prohibit visual monitoring of the cutting process. This study introduces a method to enhance the video from a monitoring camera. Air bubbles can be detected by computing optical flows and the video quality can be enhanced by selective removal of the detected bubbles. In addition, suppressing the frame image update from flashing light area can also effectively enhance the video quality. This paper describes the simple yet effective video quality enhancement method and reports preliminary results.