• 제목/요약/키워드: multi sensor

검색결과 2,015건 처리시간 0.03초

Comparative optimization of Be/Zr(BH4)4 and Be/Be(BH4)2 as 252Cf source shielding assemblies: Effect on landmine detection by neutron backscattering technique

  • Elsheikh, Nassreldeen A.A.
    • Nuclear Engineering and Technology
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    • 제54권7호
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    • pp.2614-2624
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    • 2022
  • Monte Carlo simulations were used to model a portable Neutron backscattering (NBT) sensor suitable for detecting plastic anti-personnel mines (APMs) buried in dry and moist soils. The model consists of a 100 MBq 252Cf source encapsulated in a neutron reflector/shield assembly and centered between two 3He detectors. Multi-parameter optimization was performed to investigate the efficiency of Be/Zr(BH4)4 and Be/Be(BH4)2 assemblies in terms of increasing the signal-to-background (S/B) ratio and reducing the total dose equivalent rate. The MCNP results showed that 2 cm Be/3 cm Zr(BH4)4 and 2 cm Be/3 cm Be(BH4)2 are the optimal configurations. However, due to portability requirements and abundance of Be, the 252Cf-2 cm Be/3 cm Be(BH4)2 NBT model was selected to scan the center of APM buried 3 cm deep in dry and moist soils. The selected NBT model has positively identified the APM with a S/B ratio of 886 for dry soils of 1 wt% hydrogen content and with S/B ratios of 615, 398, 86, and 12 for the moist soils containing 4, 6, 10, and 14 wt% hydrogen, respectively. The total dose equivalent rate reached 0.0031 mSv/h, suggesting a work load of 8 h/day for 806 days within the permissible annual dose limit of 20 mSv.

CNN based data anomaly detection using multi-channel imagery for structural health monitoring

  • Shajihan, Shaik Althaf V.;Wang, Shuo;Zhai, Guanghao;Spencer, Billie F. Jr.
    • Smart Structures and Systems
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    • 제29권1호
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    • pp.181-193
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    • 2022
  • Data-driven structural health monitoring (SHM) of civil infrastructure can be used to continuously assess the state of a structure, allowing preemptive safety measures to be carried out. Long-term monitoring of large-scale civil infrastructure often involves data-collection using a network of numerous sensors of various types. Malfunctioning sensors in the network are common, which can disrupt the condition assessment and even lead to false-negative indications of damage. The overwhelming size of the data collected renders manual approaches to ensure data quality intractable. The task of detecting and classifying an anomaly in the raw data is non-trivial. We propose an approach to automate this task, improving upon the previously developed technique of image-based pre-processing on one-dimensional (1D) data by enriching the features of the neural network input data with multiple channels. In particular, feature engineering is employed to convert the measured time histories into a 3-channel image comprised of (i) the time history, (ii) the spectrogram, and (iii) the probability density function representation of the signal. To demonstrate this approach, a CNN model is designed and trained on a dataset consisting of acceleration records of sensors installed on a long-span bridge, with the goal of fault detection and classification. The effect of imbalance in anomaly patterns observed is studied to better account for unseen test cases. The proposed framework achieves high overall accuracy and recall even when tested on an unseen dataset that is much larger than the samples used for training, offering a viable solution for implementation on full-scale structures where limited labeled-training data is available.

우크라이나 군사정보팀의(Military Intelligence Team) 핀셋작전 분석과 시사점 (Analysis and implications on Ukrainian Military Intelligence Team's Decapitation Operation)

  • 조상근;안드레이;박성준;권범준;서강일;박상혁
    • 문화기술의 융합
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    • 제8권6호
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    • pp.435-439
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    • 2022
  • 2022년 2월 24일, 우크라이나-러시아 전쟁이 발발했다. 이 전쟁에서 특이한 현상들이 발생하고 있는데, 그중에 하나가 2차 세계대전 이후 장군들의 전사율이 가장 높다는 것이다. 이것은 우크라이나군이 러시아군의 장군들만을 제거하는 핀셋작전을 전개하고 있기 때문이다. 이를 위해, 우크라이나군은 군사정보팀이라는 특수작전 부대를 운용하고 있는데, 이들은 자체, 미군·나토군, 민간 등의 자산을 융복합하여 다영역에서 활용함으로써 시너지를 창출하고 있다. 특히, 이들은 스타링크를 활용하여 '감시-결심-타격' 활동을 실시간 초연결함으로써 생존성과 작전효용성을 극대화하고 있다. 한국군 또한 다양한 특수작전부대를 보유하고 있고, 한반도에는 대량살상무기 위협이 내재되어 있다. 따라서 우크라이나군에서 운용하는 군사정보팀의 조직편성, 무기체계 및 운용 방법은 한국군이 미래 위협을 상쇄하는데 방향성을 제공할 수 있다.

다성분계 물성을 예측하기 위한 BaTiO3기반 계산과학 플랫폼 구축 (Establishment of a BaTiO3-based Computational Science Platform to Predict Multi-component Properties)

  • 이동건;이한욱;임원빈;고현석;조성범
    • 센서학회지
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    • 제31권5호
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    • pp.318-323
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    • 2022
  • Barium titanate (BaTiO3) is considered to be a beneficial ceramic material for multilayer ceramic capacitor (MLCC) applications because of its high dielectric constant and low dielectric loss. Numerous attempts have been made to improve the physical properties of BaTiO3 in response to recent market trends by employing multicomponent alloying strategies. However, owing to its significant number of atomic combinations and unpredictable physical properties, finding a traditional experimental approach to develop multicomponent systems is difficult; the development of such systems is also time-consuming. In this study, 168 new structures were fabricated using special quasi-random structures (SQSs) of Ba1-xCaxTi1-yZryO3, and 1680 physical properties were extracted from first-principles calculations. In addition, we built an integrated database to manage the computational results, and will provide big data solutions by performing data analysis combined with AI modeling. We believe that our research will enable the global materials market to realize digital transformation through datalization and intelligence of the material development process.

Derivation of Surface Temperature from KOMPSAT-3A Mid-wave Infrared Data Using a Radiative Transfer Model

  • Kim, Yongseung
    • 대한원격탐사학회지
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    • 제38권4호
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    • pp.343-353
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    • 2022
  • An attempt to derive the surface temperature from the Korea Multi-purpose Satellite (KOMPSAT)-3A mid-wave infrared (MWIR) data acquired over the southern California on Nov. 14, 2015 has been made using the MODerate resolution atmospheric TRANsmission (MODTRAN) radiative transfer model. Since after the successful launch on March 25, 2015, the KOMPSAT-3A spacecraft and its two payload instruments - the high-resolution multispectral optical sensor and the scanner infrared imaging system (SIIS) - continue to operate properly. SIIS uses the MWIR spectral band of 3.3-5.2 ㎛ for data acquisition. As input data for the realistic simulation of the KOMPSAT-3A SIIS imaging conditions in the MODTRAN model, we used the National Centers for Environmental Prediction (NCEP) atmospheric profiles, the KOMPSAT-3Asensor response function, the solar and line-of-sight geometry, and the University of Wisconsin emissivity database. The land cover type of the study area includes water,sand, and agricultural (vegetated) land located in the southern California. Results of surface temperature showed the reasonable geographical pattern over water, sand, and agricultural land. It is however worthwhile to note that the surface temperature pattern does not resemble the top-of-atmosphere (TOA) radiance counterpart. This is because MWIR TOA radiances consist of both shortwave (0.2-5 ㎛) and longwave (5-50 ㎛) components and the surface temperature depends solely upon the surface emitted radiance of longwave components. We found in our case that the shortwave surface reflection primarily causes the difference of geographical pattern between surface temperature and TOA radiance. Validation of the surface temperature for this study is practically difficult to perform due to the lack of ground truth data. We therefore made simple comparisons with two datasets over Salton Sea: National Aeronautics and Space Administration (NASA) Jet Propulsion Laboratory (JPL) field data and Salton Sea data. The current estimate differs with these datasets by 2.2 K and 1.4 K, respectively, though it seems not possible to quantify factors causing such differences.

최근 터치스크린 Readout 시스템의 연구 경향 (Recent Research Trends in Touchscreen Readout Systems)

  • 이준민;함주원;장우석;이하민;구상모;오종민;고승훈
    • 한국전기전자재료학회논문지
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    • 제36권5호
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    • pp.423-432
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    • 2023
  • With the increasing demand for mobile devices featuring multi-touch operation, extensive research is being conducted on touch screen panel (TSP) Readout ICs (ROICs) that should possess low power consumption, compact chip size, and immunity to external noise. Therefore, this paper discusses capacitive touch sensors and their readout circuits, and it introduces research trends in various circuit designs that are robust against external noise sources. The recent state-of-the-art TSP ROICs have primarily focused on minimizing the impact of parasitic capacitance (Cp) caused by thin panel thickness. The large Cp can be effectively compensated using an area-efficient current compensator and Current Conveyor (CC), while a display noise reduction scheme utilizing a noise-antenna (NA) electrode significantly improves the signal-to-noise ratio (SNR). Based on these achievements, it is expected that future TSP ROICs will be capable of stable operation with thinner and flexible Touch Screen Panels (TSPs).

산불로 인해 훼손된 비봉산 산림유역의 수질 영향 평가 (Evaluation of the Water Quality Impact of Bibong Mountain Forest Basin for Forest Fire Damage)

  • 안성훈;김의석;안용빈;홍은미
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2023년도 학술발표회
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    • pp.416-416
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    • 2023
  • 전 국토의 산지 비율이 높은 우리나라는 산림지의 특성이 수질에도 많은 영향을 미치고 있다. 산림지역의 화재에 있어 산림이 갖는 수질, 토성의 변화와 발생한 연소 퇴적물, 유기물로 인해 수자원에도 악영향을 끼치게 된다. 산불은 단순한 산림지의 자원 유실뿐만 아니라 토양층의 물리적약화와 강수저류 효과를 떨어뜨려, 산불 후 유출의 증가를 보인다. 삼척시의 산불 선행연구에 따르면, 산불 발생 직후, 지역의 직접 유출이 기저 유출보다 높게 나타났다. 이에 따라, 모든 수질인자의 평균 농도는 비발생지역에 비해 발생 지역의 농도가 현저하게 증가하였으며, 이 중 T-N, T-P, SS의 농도가 특히 크게 나타났다. 또한, 계류 수질의 경시적 변화를 분석한 결과, BOD와 COD는 산불 발생 최소 4개월의 기간을 거친 후 점차 안정화하는 모습을 보였다. 다만, 산불로 인해 훼손된 물 환경의 상황을 복구하고자 하는 연구의 데이터가 부족한 실정이다. 따라서 본 연구는 2022년 4월 산불이 발생한 강원도 양구군 양구읍 송청리 비봉산 일대의 산불 유역을 대상으로 산불에 따른 물 환경의 변화를 밝힘으로써 산불로 훼손된 지역의 효과적인 수질 회복과 물 환경 보전 대책 수립을 위한 자료를 제공하고자 수행하였다. 2023년 4월 양구 비봉산의 산불 복구 작업이 본격적으로 시작되는데 복구 전 현재 수질의 상황을 살펴봤다. 조사 지역은 비봉산 일대의 산불 지역과 비발생 지역, 오봉산 일대까지의 유역 출구 총 7개의 지점을 선정하였다. 기본 수질항목은 현장에서 YSI PROPLUS (Mobile Multi Sensor Meter)를 이용하여 측정하였고 채취한 시료는 무균 채수 병에 담아 실험실로 운반하여 SS (Suspended Solids), TP(Total Phosphorus), TOC (Total Organic Carbon) 항목에 대해 수질오염공정시험기준에 의거하여 분석하였다. SS, TOC, t-p의 경우, 지정학적 특성, 산불에 의한 퇴적물들의 변화와 토양의 형태 및 식생의 변화로 인한 결과의 차이를 보였다. 1년이 지난 지금 산불 직후처럼 높은 수치는 보이지 않았다. 그러나 아직 복구 작업이 제대로 진행되지 않아 그 영향에 대해 무시할 정도로 안정화되지 않았다. 본 연구는 산불 발생 후 강우 및 토사유출에 대한 비 산불 지역과의 차이를 살펴봄으로써 수질 오염원으로 작용할 수 있는 가능성을 기초자료로 제공될 것이다. 또한, 수처리 기술개발을 포함한 예방책을 만들어 내는데, 기초자료로 활용할 수 있길 바란다.

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Multi-camera-based 3D Human Pose Estimation for Close-Proximity Human-robot Collaboration in Construction

  • Sarkar, Sajib;Jang, Youjin;Jeong, Inbae
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.328-335
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    • 2022
  • With the advance of robot capabilities and functionalities, construction robots assisting construction workers have been increasingly deployed on construction sites to improve safety, efficiency and productivity. For close-proximity human-robot collaboration in construction sites, robots need to be aware of the context, especially construction worker's behavior, in real-time to avoid collision with workers. To recognize human behavior, most previous studies obtained 3D human poses using a single camera or an RGB-depth (RGB-D) camera. However, single-camera detection has limitations such as occlusions, detection failure, and sensor malfunction, and an RGB-D camera may suffer from interference from lighting conditions and surface material. To address these issues, this study proposes a novel method of 3D human pose estimation by extracting 2D location of each joint from multiple images captured at the same time from different viewpoints, fusing each joint's 2D locations, and estimating the 3D joint location. For higher accuracy, the probabilistic representation is used to extract the 2D location of the joints, considering each joint location extracted from images as a noisy partial observation. Then, this study estimates the 3D human pose by fusing the probabilistic 2D joint locations to maximize the likelihood. The proposed method was evaluated in both simulation and laboratory settings, and the results demonstrated the accuracy of estimation and the feasibility in practice. This study contributes to ensuring human safety in close-proximity human-robot collaboration by providing a novel method of 3D human pose estimation.

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플라우 및 로터리 작업 시 농업용 관리기의 엔진 부하율 분석 (Analysis of Engine Load Factor for Agricultural Cultivator during Plow and Rotary Tillage Operation)

  • 이시언;김택진;김용주;임류갑;김완수
    • 드라이브 ㆍ 컨트롤
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    • 제20권2호
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    • pp.31-39
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    • 2023
  • The aim of this study was to measure and analyze engine load factor (LF) according to working conditions (operation type and gear stage) of small agricultural multi-purpose cultivator to estimate the emission of air pollutants. To calculate LF, a torque sensor capable of collecting torque and rotational speed was installed on the engine output shaft and DAQ was used to collect data. A field test was conducted with major operation of a cultivator and tillage operations (plow tillage and rotary tillage). Engine power was calculated using engine torque and rotational speed and LF was calculated using real-time power and rated power. In addition, unified LF was calculated using the weight for each operation and the average LF for each operation. As a result, average LF values at 1.87 and 3.10 km/h by plow tillage were 0.50 and 0.69, respectively. Average LF values at 1.87 and 3.10 km/h by rotary tillage were 0.70 and 0.78, respectively. Furthermore, unified LF calculated in consideration of the weight factor showed a value of 0.65, which was 135% higher than the conventional LF (0.48). Results of this study could be used as basic information for realizing LF values in the field of agricultural machinery.

A grid-line suppression technique based on the nonsubsampled contourlet transform in digital radiography

  • Namwoo Kim;Taeyoung Um;Hyun Tae Leem;Bon Tack Koo;Kyuseok Kim;Kyu Bom Kim
    • Nuclear Engineering and Technology
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    • 제55권2호
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    • pp.655-668
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    • 2023
  • In radiography, an antiscatter grid is a well-known device for eliminating unexpected x-ray scatter. We investigate a new stationary grid artifact suppression method based on a nonsubsampled contourlet transform (NSCT) incorporated with Gaussian band-pass filtering. The proposed method has an advantage that extracts the Moiré components while minimizing the loss of image information and apply the prior information of Moiré component positions in multi-decomposition sub-band images. We implemented the proposed algorithm and performed a simulation and an experiment to demonstrate its viability. We did this experiment using an x-ray tube (M-113T, Varian, focal spot size: 0.1 mm), a flat-panel detector (ROSE-M Sensor, Aspenstate, pixel dimension: 3032 × 3800 pixels, pixel size: 0.076 mm), and carbon graphite-interspaced grids (JPI Healthcare, 18 cm × 24 cm, line density: 103 LP/inch and 150 LP/inch, ratio: 5:1, focal distance: 65 cm). Our results indicate that the proposed method successfully suppressed grid artifacts by reducing them without either reducing the spatial resolution or causing negative side effects. Consequently, we anticipate that the proposed method can improve image acquisition in a stationary grid x-ray system as well as in extended x-ray imaging.