Climate change has led to a significant increase in jellyfish populations globally, causing various problems. For power plants that use nearby seawater for cooling, the intrusion of jellyfish into intake systems can block the flow, leading to reduced output or even shutdowns. This issue is compounded by other small marine organisms like shrimp and salps, making it urgent to develop solutions to prevent their intrusion. This study addressed the problem using the BioSonics DT-X 120 kHz scientific fish finder to conduct preliminary tank experiments. We also deployed underwater acoustic and camera buoys around the intake of nuclear power plant, utilizing a bidirectional communication system between sea and land to collect data. Data collection took place from July 31, 2023 to August 1, 2023. While harmful organisms such as jellyfish and salps were not detected, we successfully gathered acoustic data on small fish measuring backscattering strength (SV). Analysis showed that fish schools were more prominent in the evening than during the day. The highest fish distribution was observed at 3:30 AM on July 31 with an SV of -44.8 dB while the lowest was at 12:30 PM on the same day with an SV of –63.4 dB. Additionally, a solar-powered system was used to enable real-time data acquisition from sea buoys with smooth communication between the land server and the offshore buoy located 1.8 km away. This research developed an acoustic-based monitoring system for detecting harmful organisms around the intake and provided foundational data for preventing marine organism intrusion and planning effective measures.

Due to climate change and the rise in international transportation, there is an emerging potential for outbreaks of mosquito-borne diseases such as malaria, dengue, and chikungunya. Consequently, the rapid detection of vector mosquito species, including those in the Aedes, Anopheles, and Culex genera, is crucial for effective vector control. Currently, mosquito population monitoring is manually conducted by experts, consuming significant time and labor, especially during peak seasons where it can take at least seven days. To address this challenge, we introduce an automated mosquito monitoring system designed for wild environments. Our method is threefold: It includes an imaging trap device for the automatic collection of mosquito data, the training of deep-learning models for mosquito identification, and an integrated management system to oversee multiple trap devices situated in various locations. Using the well-known Faster-RCNN detector with a ResNet50 backbone, we’ve achieved mAP (@IoU=0.50) of up to 81.63% in detecting Aedes albopictus, Anopheles spp., and Culex pipiens. As we continue our research, our goal is to gather more data from diverse regions. This not only aims to improve our model’s ability to detect different species but also to enhance environmental monitoring capabilities by incorporating gas sensors.

본 연구에서는 탄소나노튜브(CNT) 패치 센서를 기반으로 하여 구조물의 이상 거동을 감지하고 대 응할 수 있도록 하는 첨단 스마트 모니터링 시스템을 제안한다. 복합소재로 제작되는 CNT 센서는 유 연한 특성을 갖게 되어 다양한 형태의 구조물 표면에 적용할 수 있으며, 이를 통해 충격이나 피로 등 에 의해 발생되는 균열과 같은 비정상적인 거동을 감지할 수 있다. CNT 센서를 통해 수집한 데이터 는 IoT 시스템을 통해 실시간으로 분석되어 구조물의 거동 상태를 확인하고 건전성을 모니터링 할 수 있게 한다. 이 시스템의 성능 검증 및 사용성 검토를 위해 미국 소재 교량에서 실증 테스트를 하였으 며, 테스트 결과 CNT 센서를 이용한 구조물 거동 감지 시스템을 통해 구조물의 이상 거동을 효과적 으로 감지하고 모니터링하여 구조물에서 발생 될 수 있는 잠재적 문제를 사전에 예방할 수 있음을 확 인하였다. 이와 같은 기술은 추후 다양한 분야에서 적극적으로 활용될 수 있을 것으로 기대된다.

최근, 국토교통부에서 시행한 “국가 보행교통 실태조사”로 인해 보행안전과 보행환경에 대한 중요성이 증가하고 있으며, 전반적으로 대로에서는 보행환경이 양호하나 생활도로에서는 보도가 미설치되거나 보도폭이 협소하여 보행환경이 미흡하고 보행 만족도도 낮은 것으며 생활도로의 약 34%가 유효보도폭 기준을 충족하지 못하고 있다고 조사되었다. 국가 주요 사회간접자본(SOC)인 도로, 교량, 터 널, 공공건물, 환승센터 등에 비하여 상대적으로 보행공간을 대상으로한 정보화 속도가 늦어 정보화 연구개발에 대한 추진이 시급한 실정이다. 이에 정부에서도 국가공간정보정책 기본계획에 따른 국가공간정보정책 시행계획이 확정되어 신산업 기반으로서의 역할과 안전한 시설관리를 위한 디지털 트윈 관련 기술개발 등에 투자를 확대하고, 디지털 트윈 등의 기반 정보인 고정밀 공간정보 생산 등 에 중점적으로 투자하고 있다. 현재 한국건설기술연구원, 서울시, 경기도 등에서 활용하고 있는 조사장비(PES, KRISS)는 도로포장(차 도)에서 상태 모니터링을 진행하고 있으나 이와 같은 장비들은 고가의 장비들로 실질적으로 사용하기에는 어려움이 있다. 또한, 보행 도로에서는 상태 모니터링을 수집할 장비가 없기 때문에, 보행 공간 경사, 노면 상태 등을 측정ㆍ수집하는 방법은 인력에게 의존해왔 다. 또한, 현재 보행자도로에 대한 서비스수준 산정 방식은 한국도로용량편람(2013)의 보행자시설편에서 제공하고 있는 산정 방식으로 도로용량편람에서 제시하는 보행자도로의 분석 방법을 적용하여 서비스수준을 산출할 경우, 차량과 동일한 교통량-속도-밀도 관계에 의존하여 산출하기 때문에 현실적인 보행자도로의 서비스수준을 반영하지 못하고 있는 실정이다. 이러한 문제로 인해 보행공간에 대 한 이용자의 안전 및 편의성에 대한 연구가 미흡한 상황이다. 따라서, 본 연구는 모바일매핑시스템(Mobile Mapping System)과 인공지 능(AI), 무인비행장치(Drone)를 활용한 보행공간 상태 모니터링 시스템 구축 방안을 제시하고자 한다.

In this study, we have developed a movable defect detection system based on a vision module with machine-learning algorithm for distinguishing product quality. Machine-learning model determined the results in good or no good through images acquired from the vision module consisting of a camera, processor unit, and lighting. To ensure versatility for use in a variety of settings, we have integrated a robot arm and cart for the movable defect detection system, and the robot arm that adjusts the focus length is made to be able to rotate in all directions. The type of defect was divided into eccentricity defect and printing defect. As a result, it was confirmed that classification accuracy showed 0.9901 in our developed device.

High-temperature molten salts not only demonstrate exceptional thermal and chemical stability but also offer significant advantages in catalyzing chemical reactions. Consequently, they have garnered attention as a promising medium for next-generation nuclear reactors and a wide range of electrochemical processes. Nevertheless, the challenging experimental conditions in molten salts make applying conventional analytical methods to understand reaction mechanisms a formidable task. This underscores the imperative need for more intuitive approaches to investigate molten salt chemistry. One of the simplest yet potent methods involves real-time visual monitoring of the reaction system as chemical reactions progress. In light of this, we have developed an experimental system enabling real-time visual monitoring of the internal dynamics of molten salt media. This system can capture high-resolution videos and images within molten salts, surpassing existing methodologies. We have applied this system in various electrochemical experiments using the molten LiCl-KCl eutectic salt medium. Among them, this study primarily focuses on two challenging experimental scenarios that became comprehensible through our proposed system’s application: (1) the transpassivation of Zr metal and the agglomeration of potassium hexachlorozirconate (K2ZrCl6) solid salt, and (2) the solvation of electrons during the oxidation of Li metal within the molten LiCl-KCl eutectic salt.

In the semiconductor manufacturing clean room, contamination that directly affects process yield is managed through the operation of a monitoring system that measures molecular contamination in the air. In this study, I presented the component inspection method, test conditions, and judgment criteria through the life test of the solenoid valve that will be applied to the sampling module of the AMC Monitoring System.

본 연구에서는 뇌혈류 신호를 측정할 수 있는 시변자계 기반의 비접촉식 직물센서를 설계하여 뇌혈류 신호 검출 및 감성평가의 가능성을 탐색하고자 하였다. 직물센서는 40 denier의 은사를 30합사 한 후 컴퓨터 기계 자수하여 코일 형 센서로 구현하였다. 뇌혈류 측정 실험을 위해 코일형 센서를 경동맥 부위에 부착하고, ECG (Electrocardiogram) 전극과 RSP (Respiration) 측정 벨트를 부착 및 착용하도록 하였으며, 동시에 초음파 진단기기를 사용해 도플러 초음 파 검사(Doppler Ultrasonography)를 수행하여 혈류 속도를 측정하였다. 피험자에게 Meta Quest 2를 착용시키고, 실 험을 위해 조작된 영상 시각 자극을 보여주면서 혈류 신호를 측정한 후 시각 자극에 대한 감성평가 설문지를 작성하 도록 하였다. 측정 결과, 도플러 초음파 검사를 통해 측정된 혈류 속도 신호에 변화가 생길 때 직물센서로 측정한 신호도 함께 변화하는 것으로 나타났다. 이를 통해 코일형 직물센서를 이용하여 뇌혈류활동 신호를 측정할 수 있다 는 것을 검증하였다. 또한, 감성평가를 위하여 ECG 신호와 PLL 신호(직물센서 신호)에서 추출한 HRV를 계산해서 비교한 결과, 시각 자극으로 인한 교감신경계와 부교감신경계의 활성화에 따른 비율의 변화에 대해서는 직물센서로 측정한 신호와 ECG 신호를 이용해 계산한 값이 비슷한 경향을 보이는 것으로 나타났다. 결론적으로, 본 연구에서 개발된 시변자계 기반의 코일형 직물 센서를 통해 뇌혈류 변화 측정 및 감성 모니터링이 가능할 것으로 사료된다.

In this study, we proposed a simulator for the development of a digital multi-process welding machine and a welding process monitoring system. The simulator, which mimics the data generation process of the welding machine, is composed of process control circuit, peripheral device circuit, and wireless communication circuit. Utilizing this simulator, we aimed to develop a welding process monitoring system that can monitor the welding situations of four multi-process welding machines and three processes each, with data transmission through wireless communication. Through the operation of the proposed simulator, sequential digital processing of multi-process welding data and wireless communication were achieved. The welding process monitoring system enabled real-time monitoring and accumulation of the process data. The selection of upper and lower limits for process variables was carried out using a deep neural network based on allowable changes in bead shape, enabling the management of welding quality by applying a process control technique based on the trend of received data.

In-situ gamma spectrometer with mobile equipment can be used for rapid determination of radioactivity in the environment within a very short interval. 2”×2” NaI(Tl) scintillator are used to build a mobile radiation measurement system (called as Monitoring of Ambient Radiations of KAERI for Backpack, MARK-B3) with a signal processing unit, and GPS and interface units to a PC for wireless controlling system. Development of the survey system is to measure ambient gamma-ray spectrometry for estimating ground radioactivity and radiation dose in the environment. The ambient dose rate is estimated using G-factor method. For determination of G-factor, we conducted MCNP simulations in assumptions of various incident photons into the detector system. And the scintillator was exposed to Cs-137 source in the range of 1- 300 mGy/hr. Calculated dose rates for different simulation results were compared to the irradiated dose rate to derive correction factor of G-factor. To evaluate performance of the MARK-B3, in-situ gamma spectrometry was conducted in Jeju island.

At Nuclear Power Plant (NPP), aging management is performed as part of the Periodic Safety Review (PSR) in accordance with the Nuclear Safety Act. The purpose of the aging management program (AMP) is to manage the integrity of structures, systems and components (SSCs) in NPPs over time and use. Through this, aging deterioration is mitigated to increase equipment life and secure long-term operation safety. Fuel Oil Chemistry is one of the AMPs. Through this program, aging management is performed for storage tanks, piping and other metal components that contact with diesel fuel oil. The program is focused on managing loss of material due to general, pitting, crevice, and microbiologically-influenced corrosion (MIC) and fouling that leads to corrosion of the diesel fuel tank internal surfaces. The fuel oil aging management method currently applied to NPPs in Korea measures the concentration of water and particulate contamination in the oil, analyzed the trend, and periodically cleans and inspect the inside of tanks. Among them, in monitoring MIC, a direct analysis and monitoring of the amount of microorganisms may be more effective. In this study, a method for improving the MIC monitoring system for diesel fuel oil systems was reviewed by reviewing reference documents including NUREG 1801 and examining the methods actually applied in US NPPs.

After the Fukushima nuclear accident in Japan in March 2011, many Koreans were concerned that products exposed to radioactive materials released from the nuclear power plant would be imported into Korea. Systematic radiation monitoring was required for food and daily necessities imported from the nuclear accident area. The need for a legal system to support systematic radiation monitoring was also demanded. The Act on Protective Action Guidelines against Radiation in the Natural Environment was enacted to resolve concerns regarding environmental radiation in Korea in July 2011. According to this law, radiation monitoring equipment has been installed and operated at major airports and ports nationwide. This paper aims to review the radiation monitoring system of the Korean government comprehensively. The legal system and the legal basis for radiation monitoring of imported cargo conducted by each department were investigated by analyzing the laws and regulations of radiation monitoring for the relevant cargo items. In addition, the current status of radiation monitoring by the government departments was examined to determine how radiation monitoring for imported cargo is performed within the legal system. The investigation of the current radiation monitoring system for imported cargo in Korea confirmed that radiation monitoring is conducted by classifying cargo items under the jurisdiction of each government department for all imported cargo. However, the reduction in efficiency of radiation monitoring of imported cargoes, unclear legal grounds for radiation monitoring of imported cargo by some departments, the occurrence of overlapping inspections by departments, and the difficult process of issuing the radiation test certificate required for customs clearance by the Korea Customs Service were also identified. As a result of the analysis, it was found that the current radiation monitoring system for imported cargo in Korea ought to be improved, taking into account efficiency, overlapping inspection, legal background, and the difficult process of issuing the certificates.

기술의 발전에 따라 전 세계적으로 교량은 대형화되고 있으며, 또한 노후 교량의 수도 급격히 증가하고 있다. 이들 대형, 노후 교량 에 대한 구조건전성 모니터링은 대형 사고 예방을 위해 필수적이다. 본 연구에서는 LoRa LPWAN 기반 무선계측시스템의 적용에 대 한 연구를 수행하였으며, 전남 신안군에 위치한 천사대교의 사장교 구간에 LoRa 무선계측시스템을 구축하였다. 교량의 주탑, 케이블, 보강거더에 대하여 계측시스템을 구축하여 기구축되어 운영 중인 유선기반 모니터링 시스템과 성능 및 경제성을 비교하여 LoRa LPWAN 기반 무선 모니터링 시스템의 대형 교량에서의 적용성을 검토하였다.