• 센서학회지
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• 제31권6호
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• pp.441-447
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• 2022

This study describes a novel method for detecting and measuring partial discharge (PD) on an electrical facility such as an insulated power cable or switchgear using fiber optic sensing technology, and a distributed acoustic sensing (DAS) system. This method has distinct advantages over traditional PD sensing techniques based on an electrical method, including immunity to electromagnetic interference (EMI), long range detection, simultaneous detection for multiple points, and exact location. In this study, we present a DAS system for PD detection with performance evaluation and experimental results in a simulated environment. The results show that the system can be applied to PD detection.

• ETRI Journal
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• 제44권2호
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• pp.300-312
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• 2022

Recently, public safety services have attracted significant attention for their ability to protect people from crimes. Rapid detection of dangerous situations (that is, abnormal situations where someone may be harmed or killed) is required in public safety services to reduce the time required to respond to such situations. This study proposes a novel danger detection technology based on multimodal data, which includes data from multiple sensors (for example, accelerometer, gyroscope, heart rate, air pressure, and global positioning system sensors), and multilog data, which includes contextual logs of humans and places (for example, contextual logs of human activities and crime-ridden districts) over time. To recognize human activity (for example, walk, sit, and punch), the proposed technology uses multimodal data analysis with an attitude heading reference system and long short-term memory. The proposed technology also includes multilog data analysis for detecting whether recognized activities of humans are dangerous. The proposed danger detection technology will benefit public safety services by improving danger detection capabilities.

• International Journal of Computer Science & Network Security
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• 제23권1호
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• pp.1-10
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• 2023

Open surface water body extraction is gaining popularity in recent years due to its versatile applications. Multiple techniques are used for water detection based on applications. Different applications of Radar as LADAR, Ground-penetrating, synthetic aperture, and sounding radars are used to detect water. Shortwave infrared, thermal, optical, and multi-spectral sensors are widely used to detect water bodies. A stereo camera is another way to detect water and different methods are applied to the images of stereo cameras such as deep learning, machine learning, polarization, color variations, and descriptors are used to segment water and no water areas. The Satellite is also used at a high level to get water imagery and the captured imagery is processed using various methods such as features extraction, thresholding, entropy-based, and machine learning to find water on the surface. In this paper, we have summarized all the available methods to detect water areas. The main focus of this survey is on water detection especially in small patches or in small areas. The second aim of this survey is to detect water hazards for unmanned vehicles and off-sure navigation.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2020년도 봄 학술논문 발표대회
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• pp.206-207
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• 2020

Accurate estimation of concrete strength development at early ages is a critical factor to secure structural stability as well as to speed up the construction process. The temperature generated from the heat of hydration is considered as a key parameter in predicting the early age strength. Conventionally, concrete temperature has been measured by temperature sensors installed inside concrete. However, considering the measurement on building structures with multiple floors, this method requires reinstallation and repositioning of hardware such as sensors, data loggers and routers for data transfer. This makes the temperature monitoring work cumbersome and inefficient. Concrete temperature monitoring by using thermal remote sensing can be an effective alternative to supplement those shortcomings. In this study, image processing was carried out through K-means clustering technique, which is a unsupervised learning method, and the classification results were analyzed accordingly. In the future, research will be conducted on how to automatically recognize concrete among various objects by using deep learning techniques.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2022년도 추계학술대회
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• pp.153-153
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• 2022

There is a growing need to develop ion sensors for agriculture. As a result, several technologies have been developed, such as colorimetry, spectrophotometry, and ion-selective electrode (ISE). Among them, ISE has some advantages compared to others. First, it does not require pre-treatment processes and expensive equipment. Second, it is possible for the portable detection system by introducing small-sized electrodes. Finally, real-time and multiple detections of several ions are pursued. It is well-known that N, P, and K nutrients are critical for crop growth. With the development of agriculture techniques, the importance of soil nutrient analysis has attracted much attention for cost-effective and eco-friendly agriculture. Among several issues, minimizing the use of fertilizers is significant through quantitative analysis of soil nutrients. As a result, it is highly important to analyze certain nutrients, such as N (ammonium ion, nitrate ion, nitrite ion), P (dihydrogen phosphate ion, monohydrogen phosphate ion), and K (potassium ion). Therefore, developing sensors for accurate analysis of soil nutrients is highly desired. n this study, several ISEs have been fabricated to detect N, P, and K. Their performance has been intensively studied, such as sensitivity, selectivity coefficient, and concentration range, and compared with commercialized ISEs. In addition, preliminary tests on the in-situ N, P, and K monitoring have been conducted inside the soil.

• 센서학회지
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• 제32권5호
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• pp.259-266
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• 2023

The use of various adulterants and harmful chemicals is rapidly increasing in various sectors such as agriculture, food, and pharmaceuticals, and they are also present in our surroundings in the form of pollutants. The regular and repeated intake of harmful chemicals often adversely affects human health. The prolonged exposure of living beings to such adverse components can lead to severe health complications. To avoid the unlimited utilization of these chemical components, a sensing technology that is sensitive and reliable for low-concentration detection is beneficial. Surface-enhanced Raman spectroscopy (SERS) is a powerful method for identifying low-range concentrations of analytes, leading to great applications in molecular identification, including various diagnostic biomarkers. SERS in chemical, gas, and biological sensors can be an excellent approach in the sensing world to achieve rapid and multiple-analyte detection, leading to a new and efficient approach in healthcare monitoring.

• 한국구조물진단유지관리공학회 논문집
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• 제13권3호통권55호
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• pp.101-109
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• 2009

FBG센서로 변형율을 계측하고 추정 가능한 일부 저차모드를 중첩하여 교량의 동적변위를 추정하는 알고리즘을 제안하였다. 모드별 진동형상은 단순보의 이론식에서 유도하였고, 일반화좌표는 FBG센서에서 계측한 변형율에서 유도하였다. 일반 교량의 저차모드에서 발생하는 휨 및 비틀림모드는 각 거더별 혹은 구간별로 분리하여 단순보의 이론적 휨모드로 고려함으로써 다양한 형식의 교량에 적용할 수 있도록 하였다. 알고리즘의 적용에 고려해야 할 진동모드의 개수 및 변형율 센서의 개수를 결정하는 기준은 이론적으로 제시되었다. 제안된 방법의 효용성을 다양한 형식의 교량에 대한 수치예제, 모형교량에 대한 실내실험 및 자기부상열차용 PC Box 거더교에 대한 현장실험을 통해 검증하였다. 수치예제에서는 교량 진동형상의 오차 및 변형률 측정 오차가 동적변위 추정 결과에 미치는 영향을 분석하였다.

• Bulletin of the Korean Chemical Society
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• 제33권10호
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• pp.3368-3372
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• 2012

The $Bi_2O_3$ nanowires are highly sensitive to low concentrations of $NO_2$ in ambient air and are almost insensitive to most other common gases. However, it still remains a challenge to enhance their sensing performance and detection limit. This study examined the influence of the encapsulation of ${\beta}-Bi_2O_3$ nanorods with $In_2O_3$ on the $NO_2$ gas sensing properties. ${\beta}-Bi_2O_3-core/In_2O_3-shell$ nanorods were fabricated by a two-step process comprising the thermal evaporation of $Bi_2O_3$ powders and sputter-deposition of $In_2O_3$. Multiple networked ${\beta}-Bi_2O_3-core/In_2O_3-shell$ nanorod sensors showed the responses of 12-156% at 1-5 ppm $NO_2$ at $300^{\circ}C$. These response values were 1.3-2.7 times larger than those of bare ${\beta}-Bi_2O_3$ nanorod sensors at 1-5 ppm $NO_2$. The enhancement in the response of ${\beta}-Bi_2O_3$ nanorods to $NO_2$ gas by the encapsulation by $In_2O_3$ can be accounted for based on the space-charge model.

• 한국위성정보통신학회논문지
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• 제12권3호
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• pp.15-21
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• 2017

2012년 5월 다목적실용위성 KOMPSAT-3 발사 성공 이후, 2013년 8월 KOMPSAT-5, 2015년 3월 KOMPSAT-3A의 발사 성공으로 국내는 광학, 레이더, 열적외선 센서를 통합 운영할 수 있게 되었으며, 각 센서들의 특성을 융합 활용할 수 있는 기반을 마련하였다. 단일 센서가 가지고 있는 활용의 적용 범위나 산출물 정확도에 한계점을 극복하고자 다중 센서들의 장점을 취하고 단점은 상호 보완하는 다종센서간 영상융합기술이 대두하게 되었다. 본 논문에서는 다목적실용위성 군을 활용한 영상 융합 및 고부가 산출물 생성을 위한 소프트웨어(InFusion) 개발에 대하여 소개하고자 한다. 먼저 각 센서들의 특징 설명과 융합 소프트웨어 개발의 필요성에 대하여 기술하고, 개발 전과정에 대하여 상세히 설명하고자 한다. 국내외 다목적실용위성 군의 자료 활용성을 증대시키고 고부가 제품생성을 통한 국내 소프트웨어의 우수성을 알리는 계기가 되고자 한다.

• 한국인터넷방송통신학회논문지
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• 제16권6호
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• pp.141-146
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• 2016

굴착 현장 인접 구조물의 안정성을 확보하기 위해 현장 주변 지반의 변형을 모니터링하는 것은 중요하다. 지반특성과 굴착 깊이에 따라 굴착 중 벽체의 변형이 다르게 발생하며, 이를 정확하게 예측하는 것은 불가능하다. 따라서 굴착지지 벽체 후방에 인클리노미터를 탑재한 센서를 설치하여 이를 모니터링한다. 본 논문에서는 굴착과정에서 벽체의 변형을 모니터링하기 위해 무선 센서 노드를 사용한 모니터링 시스템을 설계하였다. 또한 배터리 기반의 센서 노드의 수명을 연장하기 위해 굴착 진행 과정과 인클리노미터의 계측 값에 따라 위험도 등급을 설정하고 해당 등급에 따라 활성/휴면 구간을 적응적으로 변경하는 기법을 제안하였다. 지연시간 분석을 통해 제안기법은 굴착현장과 같이 위험도가 다른 데이터가 동적으로 발생하는 환경에서 고정 듀티사이클링 기법에 비해 지연시간을 크게 줄일 수 있음을 확인한다.