• Title/Summary/Keyword: CO Detection

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Spliced Image Detection Using Characteristic Function Moments of Co-occurrence Matrix (동시 발생 행렬의 특성함수 모멘트를 이용한 접합 영상 검출)

  • Park, Tae-Hee;Moon, Yong-Ho;Eom, Il-Kyu
    • IEMEK Journal of Embedded Systems and Applications
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    • v.10 no.5
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    • pp.265-272
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    • 2015
  • This paper presents an improved feature extraction method to achieve a good performance in the detection of splicing forged images. Strong edges caused by the image splicing destroy the statistical dependencies between parent and child subbands in the wavelet domain. We analyze the co-occurrence probability matrix of parent and child subbands in the wavelet domain, and calculate the statistical moments from two-dimensional characteristic function of the co-occurrence matrix. The extracted features are used as the input of SVM classifier. Experimental results show that the proposed method obtains a good performance with a small number of features compared to the existing methods.

Spinel Nanoparticles ZnCo2O4 as High Performance Electrocatalyst for Electrochemical Sensing Antibiotic Chloramphenicol

  • Van-Cuong Nguyen;HyunChul Kim
    • Journal of Electrochemical Science and Technology
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    • v.15 no.1
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    • pp.152-160
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    • 2024
  • In this study, ZnCo2O4 nanoparticles were synthesized via the coprecipitation method using different annealing temperatures from 200℃ to 800℃. By varying the treatment temperature, the morphology changed from amorphous to tetragonal, and finally to polygonal particles. As temperature increased, the sizes of the nanoparticles also changed from 5 nm at 200℃ to approximately 500 nm at 800℃. The fabricated material was used to modify the working electrode of a screen-printed carbon electrode (SPE), which was subsequently used to survey the detection performance of the antibiotic, chloramphenicol (CAP). The electrochemical results revealed that the material exhibits a good response to CAP. Further, the sample that annealed at 600℃ displayed the best performance, with a linear range of 1-300 μM, and a limit of detection (LOD) of 0.15 μM. The sensor modified with ZnCo2O4 also exhibited the potential for utilitarian application when the recovery in a real sample was above 97%.

Amperometric Morphine Detection Using Pt-Co Alloy Nanowire Array-modified Electrode

  • Tao, Manlan;Xu, Feng;Li, Yueting;Xu, Quanqing;Chang, Yanbing;Wu, Zaisheng;Yang, Yun-Hui
    • Bulletin of the Korean Chemical Society
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    • v.31 no.7
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    • pp.1968-1972
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    • 2010
  • Pt-Co alloy nanowire array was directly synthesized by electrochemical deposition with polycarbonate template at -1.0V and subsequent chemical etching of the template. The use of Pt-Co alloy nanowire array-modified electrode (Pt-Co NAE) for the determination of morphine (MO) is described. The morphology of the Pt-Co alloy nanowire array has been investigated by scanning electron microscopy (SEM) and energy disperse X-ray spectroscopy (EDS) analysis), respectively. The resulting Pt-Co NAE offered a linear amperometric response for morphine ranging from $2.35\times10^{-5}$ to $2.39\times10^{-3}$ M with a detection limit of $7.83\times10^{-6}$ M at optimum conditions. This sensor displayed high sensitivity and long-term stability.

High-$T_c$ SQUID Application for Roll to Roll Metallic Contaminant Detector

  • Tanaka, S.;Kitamura, Y.;Uchida, Y.;Hatsukade, Y.;Ohtani, T.;Suzuki, S.
    • Progress in Superconductivity
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    • v.14 no.2
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    • pp.82-86
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    • 2012
  • A sensitive eight-channel high-Tc Superconducting Interference Device (SQUID) detection system for magnetic contaminant in a lithium ion battery anode was developed. Finding ultra-small metallic foreign matter is an important issue for a manufacturer because metallic contaminants carry the risk of an internal short. When contamination occurs, the manufacturer of the product suffers a great loss from recalling the tainted product. Metallic particles with outer dimensions smaller than 100 microns cannot be detected using a conventional X-ray imaging system. Therefore, a highly sensitive detection system for small foreign matter is required. We have already developed a detection system based on a single-channel SQUID gradiometer and horizontal magnetization. For practical use, the detection width of the system should be increased to at least 65 mm by employing multiple sensors. In this paper, we present an 8-ch high-Tc SQUID roll-to-roll system for inspecting a lithium-ion battery anode with a width of 65 mm. A special microscopic type of a cryostat was developed upon which eight SQUID gradiometers were mounted. As a result, small iron particles of 35 microns on a real lithium-ion battery anode with a width of 70 mm were successfully detected. This system is practical for the detection of contaminants in a lithium ion battery anode sheet.

Bagged Auto-Associative Kernel Regression-Based Fault Detection and Identification Approach for Steam Boilers in Thermal Power Plants

  • Yu, Jungwon;Jang, Jaeyel;Yoo, Jaeyeong;Park, June Ho;Kim, Sungshin
    • Journal of Electrical Engineering and Technology
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    • v.12 no.4
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    • pp.1406-1416
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    • 2017
  • In complex and large-scale industries, properly designed fault detection and identification (FDI) systems considerably improve safety, reliability and availability of target processes. In thermal power plants (TPPs), generating units operate under very dangerous conditions; system failures can cause severe loss of life and property. In this paper, we propose a bagged auto-associative kernel regression (AAKR)-based FDI approach for steam boilers in TPPs. AAKR estimates new query vectors by online local modeling, and is suitable for TPPs operating under various load levels. By combining the bagging method, more stable and reliable estimations can be achieved, since the effects of random fluctuations decrease because of ensemble averaging. To validate performance, the proposed method and comparison methods (i.e., a clustering-based method and principal component analysis) are applied to failure data due to water wall tube leakage gathered from a 250 MW coal-fired TPP. Experimental results show that the proposed method fulfills reasonable false alarm rates and, at the same time, achieves better fault detection performance than the comparison methods. After performing fault detection, contribution analysis is carried out to identify fault variables; this helps operators to confirm the types of faults and efficiently take preventive actions.

Development of a wireless radiation detection backpack using array silicon-photomultiplier (SiPM)

  • Kim, Jeong Ho;Back, Hee Kyun;Joo, Koan Sik
    • Nuclear Engineering and Technology
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    • v.52 no.2
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    • pp.456-460
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    • 2020
  • In this research, a radiation detection backpack to be used discreetly or by a wide range of users was developed using array silicon-photomultiplier (SiPM) and CsI (Tl), and its characteristics were evaluated. The R-squared value, which indicates the responsiveness of a detector based on the signal intensity, was determined to be 0.981, indicating a good linear responsivity. The energy resolutions for gamma radiation energies of Co-57 (122 keV), Ba-133 (356 keV), Cs-137 (662 keV), and Co-60 (1332 keV) were found to be 13.40, 10.50, 6.77, and 3.16%, respectively. These results confirm good energy resolution characteristics. Furthermore, in the case of mixed sources, the gamma radiation peaks were readily distinguishable, and the R-squared value for energy linearity was calculated to be 0.999, demonstrating an exceptional energy linearity. Further research based on the results of this study would enable the commercialization of lightweight SiPM-based wireless radiation detection backpacks that can be used for longer durations by replacing the photomultiplier tube, which is mainly used as the optical sensor in existing radiation detection backpacks.