• 제목/요약/키워드: detection board

검색결과 382건 처리시간 0.03초

An Investigation on the Extraction and Quantitation of a Hexavalent Chromium in Acrylonitrile Butadiene Styrene Copolymer (ABS) and Printed Circuit Board (PCB) by Ion Chromatography Coupled with Inductively Coupled Plasma Atomic Emission Spectrometry

  • Nam, Sang-Ho;Kim, Yu-Na
    • Bulletin of the Korean Chemical Society
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    • 제33권6호
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    • pp.1967-1971
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    • 2012
  • A hexavalent chromium (Cr (VI)) is one of the hazardous substances regulated by the RoHS. The determination of Cr (VI) in various polymers and printed circuit board (PCB) has been very important. In this study, the three different analytical methods were investigated for the determination of a hexavalent chromium in Acrylonitrile Butadiene Styrene copolymer (ABS) and PCB. The results by three analytical methods were obtained and compared. An analytical method by UV-Visible spectrometer has been generally used for the determination of Cr (VI) in a sample, but a hexavalent chromium should complex with diphenylcarbazide for the detection in the method. The complexation did make an adverse effect on the quantitative analysis of Cr (VI) in ABS. The analytical method using diphenylcarbazide was also not applicable to printed circuit board (PCB) because PCB contained lots of irons. The irons interfered with the analysis of hexavalent chromium because those also could complex with diphenylcarbazide. In this study, hexavalent chromiums in PCB have been separated by ion chromatography (IC), then directly and selectively detected by inductively coupled plasma atomic emission spectrometry (ICP-AES). The quantity of Cr (VI) in PCB was 0.1 mg/kg.

Molecular methods for diagnosis of microbial pathogens in muga silkworm, Antheraea assamensis Helfer (Lepidoptera: Saturniidae)

  • Gangavarapu Subrahmanyam;Kangayam M. Ponnuvel;Kallare P Arunkumar;Kamidi Rahul;S. Manthira Moorthy;Vankadara Sivaprasad
    • International Journal of Industrial Entomology and Biomaterials
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    • 제47권1호
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    • pp.1-11
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    • 2023
  • The Indian golden muga silkworm, Antheraea assamensis Helfer is an economically important wild silkworm endemic to Northeastern part of India. In recent years, climate change has posed a threat to muga silk production due to the requirement that larvae be reared outdoors. Since the muga silkworm larvae are exposed to the vagaries of nature, the changing climate has increased the incidence of microbial diseases in the rearing fields. Accurate diagnosis of the disease causing pathogens and its associated epidemiology are prerequisites to manage the diseases in the rearing field. Although conventional microbial culturing methods are widely used to identify pathogenic bacteria, they would not provide meaningful information on a wide variety of silkworm pathogens. The information on use of molecular diagnostic tools in detection of microbial pathogens of wild silk moths is very limited. A wide range of molecular and immunodiagnostic techniques including denaturing gradient gel electrophoresis (DGGE), random amplified polymorphism (RAPD), 16S rRNA/ITSA gene sequencing, multiplex polymerase chain reaction (M-PCR), fluorescence in situ hybridization (FISH), immunofluorescence, and repetitive-element PCR (Rep-PCR), have been used for detecting and characterizing the pathogens of insects with economic significance. Nevertheless, the application of these molecular tools for detecting and typing entomopathogens in surveillance studies of muga silkworm rearing is very limited. Here, we discuss the possible application of these molecular techniques, their advantages and major limitations. These methods show promise in better management of diseases in muga ecosystem.

Ship Detection for KOMPSAT and RADARSAT/SAR Images: Field Experiments

  • Yang Chan-Su;Kang Chang-Gu
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.144-147
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    • 2004
  • Two different sensors (here, KOMPSAT and RADARSAT) are considered for ship detection, and are used to delineate the detection performance for their data. The experiments are set for coastal regions of Mokpo Port and Ulsan Port and field experiments on board pilot boat are conducted to collect in situ ship validation information such as ship type and length. This paper introduce mainly the experiment result of ship detection by both RADARSAT SAR imagery and landbased RADAR data, operated by the local Authority of South Korea, so called vessel traffic system (VTS) radar. Fine imagery of Ulsan Port was acquired on June 19, 2004 and in-situ data such as wind speed and direction, taking pictures of ships and natural features were obtained aboard a pilot ship. North winds, with a maximum speed of 3.1 m/s were recorded. Ship's position, size and shape and natural features of breakwaters, oil pipeline and alongside ship were compared using SAR and VTS. It is shown that KOMPSAT/EOC has a good performance in the detection of a moving ship at a speed of 7 kts or more an hour that ship and its wake can be imaged. The detection capability of RADARSAT doesn't matter how fast ship is running and depends on a ship itself, e.g. its material, length and type. Our results indicate that SAR can be applicable to automated ship detection for a VTS and SAR combination service.

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소모전력 감소를 위한 단일 전원 휴대용 방사선 검출장치 구현 (Realization of single supply to reduce power on portable radiation detection device)

  • 오재균;남혜진;김영길
    • 한국정보통신학회논문지
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    • 제19권4호
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    • pp.1024-1030
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    • 2015
  • 현재 해운물류의 안전과 보안이 국제적으로 강화되고 있다. 그로 인해 국내에서는 해운물류의 안전과 보안을 위한 기술에 대한 연구가 진행되고 있다. 관련한 기술 중에 컨테이너 검색의 강화에 따라 휴대용 방사선 검출장치의 필요성이 증가하고 있다. 본 논문에서는 Cortex-A9을 기반으로 한 휴대용 방사선 검출 장치의 구현에 관한 연구와 소모 전력을 감소시켜 시스템의 사용시간을 향상시키는 연구를 제안하고자한다. 휴대용 방사선 검출장치의 구성은 아날로그 보드와 디지털 플랫폼 그리고 센서 모듈로 크게 구성된다. 아날로그 보드의 각 단에서 사용되는 전원이 다양하다. 다양한 전원을 사용하기 위해 스위칭 레귤레이터를 사용하는데 이로써 스위칭 노이즈가 발생해 결과에 오차를 발생시킨다. 이를 줄이고 소모 전력을 감소시키는 기법에 대한 연구를 제안하였다.

DSP 기반의 실시간 이동물체 검출 및 추적 (Real-time Detection and Tracking of Moving Objects Based on DSP)

  • 아욱재;김양수;이상락;최한고
    • 융합신호처리학회논문지
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    • 제11권4호
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    • pp.263-269
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    • 2010
  • 본 연구는 무인 영상감시를 위한 이동물체의 실시간 탐지 및 추적을 다루고 있다. 고정 카메라로부터 획득한 영상을 사용하여 영상 내의 모든 이동물체를 검출하고 이동물체를 에워싸는 사각형 박스로 물체를 표시하여 추적한다. 추적방법은 TI DSK6455 키트와 키트 상에 연결된 FPGA 보드로 구성되는 임베디드 시스템에 구현하였다. DSP 키트에서는 이동물체의 검출과 추적을 위한 영상처리 알고리즘을 처리하며, 영상획득과 표시를 위해 설계된 FPGA 보드에서는 라인별로 영상을 읽고 DMA 데이터 전송 방식으로 DSP 프로세서로 영상 데이터를 보내며 또한 처리된 영상 데이터를 VGA 모니터로 보낸다. 실험결과에 의하면 이동물체의 추적은 만족스럽게 추적속도는 $320{\times}240$ 영상 해상도에서 초당 30 프레임의 속도로 수행하였다.

음향반응에 의한 계란의 크랙검출에 관한 연구 (Crack Detection in Eggshell by Acoustic Responses)

  • 조한근;최완규;백진하
    • Journal of Biosystems Engineering
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    • 제23권1호
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    • pp.67-74
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    • 1998
  • A nondestructive quality inspection technique using acoustic impulse response method was developed for eggshell inspection. An experimental system was built to generate the impact force, to measure the response signal and to analyze the frequency spectrum. This system includes an impulse generating unit, an egg holding seal a microphone with preamplifier, and a DSP board installed on Personal Computer. A simple algorithm .was developed for crack detection. Using the developed system with algorithm, crack detection ability was evaluated and the error rate to estimate the normal egg as cracked was found to be 4% and the error rate to estimate the cracked egg as normal was also found to be 4%. This system could be adopted in industry with some modification.

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Design of Improved Detection Instrumentation for the Annulus Gas System for Wolsong 2

  • Kim, Seog-Nam;Koo, Jun-Mo;Chang, Ik-Ho;Jung, Ho-Chang;Han, Sang-Joon
    • Nuclear Engineering and Technology
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    • 제28권4호
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    • pp.423-430
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    • 1996
  • The improved and advanced Annulus Gas System(AGS) has been developed for Wolsong 2 to satisfy the requirements of the regulatory body. The Atomic Energy Control Board(AECB) required a shorter detection time following a small leak from a pressure tube and/or calandria tube. This paper describes licensing requirements, functional requirements and detail design description for the AGS. The Wolsong unit No. 1 AGS was designed to operate as a stagnant system normally requiring only pressure regulation and having provisions for purging. no improved AGS involves the adoption of gas recirculation in AGS, duplication of dew point indicators with additional instrumentation and sampling provisions to prompt operator action. The improved system operates in the recirculation mode with continuous dew point measurement for leak detection. An AGS with improved detection instrumentation is provided.

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월쉬변환을 이용한 IC엔진의 다중실화검출 (The detection of IC engine's Mutiple misfire using Walsh transform)

  • 김종부;이태표어정수임국현
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1998년도 하계종합학술대회논문집
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    • pp.235-238
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    • 1998
  • This paper presents the detection of internal combustion engine's multiple misfire. The primary cause of air pollution by vehicles is imperfect conbustion of fuel. The CARB(California Air Resources Board) have imposed regulations for the detection of misfiring in automotive engines. The OBD-II regulations requir that misfire should be monitored by the diagnostic system, and that the goal of OBD-II is to alert the driver to the presence of a malfunction of the emission control system. Present invention based upon measurements of engine roughness as derived from crankshaft angular velocity measurements with special signal processing method. Crankshaft angular velocity signals are processed by walsh-fourier transform. Experimental work confims that it's possible to apply walsh-fourier transform for the detection of multiple misfires in no-load idle and road testing.

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어안 이미지의 배경 제거 기법을 이용한 실시간 전방향 장애물 감지 (Real time Omni-directional Object Detection Using Background Subtraction of Fisheye Image)

  • 최윤원;권기구;김종효;나경진;이석규
    • 제어로봇시스템학회논문지
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    • 제21권8호
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    • pp.766-772
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    • 2015
  • This paper proposes an object detection method based on motion estimation using background subtraction in the fisheye images obtained through omni-directional camera mounted on the vehicle. Recently, most of the vehicles installed with rear camera as a standard option, as well as various camera systems for safety. However, differently from the conventional object detection using the image obtained from the camera, the embedded system installed in the vehicle is difficult to apply a complicated algorithm because of its inherent low processing performance. In general, the embedded system needs system-dependent algorithm because it has lower processing performance than the computer. In this paper, the location of object is estimated from the information of object's motion obtained by applying a background subtraction method which compares the previous frames with the current ones. The real-time detection performance of the proposed method for object detection is verified experimentally on embedded board by comparing the proposed algorithm with the object detection based on LKOF (Lucas-Kanade optical flow).

Development of a Real-Time Automatic Passenger Counting System using Head Detection Based on Deep Learning

  • Kim, Hyunduk;Sohn, Myoung-Kyu;Lee, Sang-Heon
    • Journal of Information Processing Systems
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    • 제18권3호
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    • pp.428-442
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    • 2022
  • A reliable automatic passenger counting (APC) system is a key point in transportation related to the efficient scheduling and management of transport routes. In this study, we introduce a lightweight head detection network using deep learning applicable to an embedded system. Currently, object detection algorithms using deep learning have been found to be successful. However, these algorithms essentially need a graphics processing unit (GPU) to make them performable in real-time. So, we modify a Tiny-YOLOv3 network using certain techniques to speed up the proposed network and to make it more accurate in a non-GPU environment. Finally, we introduce an APC system, which is performable in real-time on embedded systems, using the proposed head detection algorithm. We implement and test the proposed APC system on a Samsung ARTIK 710 board. The experimental results on three public head datasets reflect the detection accuracy and efficiency of the proposed head detection network against Tiny-YOLOv3. Moreover, to test the proposed APC system, we measured the accuracy and recognition speed by repeating 50 instances of entering and 50 instances of exiting. These experimental results showed 99% accuracy and a 0.041-second recognition speed despite the fact that only the CPU was used.