• Title/Summary/Keyword: detection technique

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Nondestructive evaluation of wall thinning covered with insulation using pulsed eddy current (펄스와전류를 이용한 보온재 비해체식 배관감육 평가기술)

  • Park, Duck-Gun;Babu, M.K.;Lee, Duk-Hyun
    • Transactions of the Korean Society of Pressure Vessels and Piping
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    • v.10 no.1
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    • pp.90-95
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    • 2014
  • Local wall thinning is a point of concern in almost all steel structures such as pipe lines covered with a thermal insulator made up of materials with low thermal conductivity(fiberglass or mineral wool); hence, Non Destructive Technique(NDT) methods that are capable of detecting the wall thinning and defects without removing the insulation are necessary. In this study we developed a Pulsed Eddy Current(PEC) system to detect the wall thinning of Ferro magnetic steel pipes covered with fiber glass thermal insulator and shielded with Aluminum plate. The developed system is capable of detecting the wall thickness change through an insulation of thickness 10cm and 0.4mm aluminum shielding. In order to confirm the thickness change due to wall thinning, two different sensors, a hall sensor and coil sensor were used as a detecting element. In both cases, the results show a very good change corresponding to the thickness change of the test specimen. During these experiments a carbon steel tube of diameter 210mm and a length of 620mm, which is covered with insulator of 95mm thickness was used. To simulate the wall thinning, the thickness of the tube is changed for a specified length such as 2.5mm, 5mm and 8 mm from the inner surface of the tube. A 0.4mm thick Aluminum plate was covered on the Test specimen to simulate the shielding of the insulated pipelines. For both hall sensor and coil detection methods Fast Fourier transform(FFT) was calculated using window approach and the results for the test specimen without Aluminum shielding were summarized which shows a clear identification of thickness change in the test specimen by comparing the magnitude spectra. The PEC system can detect the wall thinning under the 95 mm thickness insulation and 0.4 mm Al shielding, and the output signal showed linear relation with tube wall thickness.

Study on the Adaption Technique for Detection of Termites using Microwave (극초단파(Microwave)를 이용한 흰개미 탐지기술 적용연구)

  • Kim, Dae-Woon;Jeong, Seon-Hye;Lee, Sang-Hwan;Chung, Yong-Jae
    • Journal of Conservation Science
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    • v.26 no.1
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    • pp.77-83
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    • 2010
  • The damage from the underground termite cannot be discovered with peculiar appearance of building but hollow phenomenon will occur. But there is no case in Korea as a non-destructive measurement of termite activation. Therefore, this research constructs non-destructive diagnostic techniques for wooden cultural properties using microwave detector (Termatrac, Australia). Result of maximun distance were measured 16cm (Pine tree, sensitivity 5, 6), 17cm (Zelkova and Douglas fir, sensitivity 5, 6). These results are expected that can be applied in the field. Result of field test using microwave detector, 33.8% of the wooden cultural properties were damaged by termites, and until now 7.8% (18 buildings) are being damaged in nationwide (total 231 buildings). Based on the above results, microwave detector will be able to be utilized effectively for detecting termite, preventing intrusion in wooden structure, and making full use of monitoring system periodically. In addition, it could be of great worth in preventing insect and microorganism in wooden structure.

Determination of Captan, Folpet, Captafol and Chlorothalonil Residues in Agricultural Commodities using GC-ECD/MS (GC-ECD/MS를 이용한 농산물 중 Captan, Folpet, Captafol 및 Chlorothalonil의 잔류분석법)

  • Lee, Su-Jin;Hwang, Young-Sun;Kim, Young-Hak;Kwon, Chan-Hyeok;Do, Jung-A;Im, Moo-Hyeog;Lee, Young-Deuk;Choung, Myoung-Gun
    • Korean Journal of Environmental Agriculture
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    • v.29 no.2
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    • pp.165-175
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    • 2010
  • A gas chromatographic (GC) method was developed to determine residues of captan, folpet, captafol, and chlorothalonil, known as broad-spectrum protective fungicides for the official purpose. All the fungicide residues were extracted with acetone containing 3% phosphoric acid from representative samples of five agricultural products which comprised rice, soybean, apple, pepper, and cabbage. The extract was diluted with saline, and dichloromethane partition was followed to recover the fungicides from the aqueous phase. Florisil column chromatography was additionally employed for final cleanup of the extracts. The analytes were then determined by gas chromatography using a DB-1 capillary column with electron capture detection. Reproducibility in quantitation was largely enhanced by minimization of adsorption or thermal degradation of analytes during GLC analysis. Mean recoveries generated from each crop sample fortified at two levels in triplicate ranged from 89.0~113.7%. Relative standard deviations (RSD) were all less than 10%, irrespective sample types and fortification levels. As no interference was found in any samples, limit of quantitation (LOQ) was estimated to be 0.008 mg/kg for the analytes except showing higher sensitivity of 0.002 mg/kg for chlorothalonil. GC/Mass spectrometric method using selected-ion monitoring technique was also provided to confirm the suspected residues. The proposed method was reproducible and sensitive enough to determine the residues of captan, folpet, captafol, and chlorothalonil in agricultural commodities for routine analysis.

Investigation of Ne and He Buffer Gases Cooled Ar+ Ion Clouds in a Paul Ion Trap

  • Kiai, S.M. Sadat;Elahi, M.;Adlparvar, S.;Nemati, N.;Shafaei, S.R.;Karimi, Leila
    • Mass Spectrometry Letters
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    • v.6 no.4
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    • pp.112-115
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    • 2015
  • In this article, we examine the influences of Ne and He buffer gases under confined Ar+ ion cloud in a homemade Paul ion trap in various pressures and confinement times. The trap is of small size (r0 = 1 cm) operating in a radio frequency (rf) voltage only mode, and has limited accuracy of 13 V. The electron impact and ionization process take place inside the trap and a Faraday cup has been used for the detection. Although the experimental results show that the Ar+ ion FWHM with Ne buffer gas is wider than the He buffer gas at the same pressure (1×10-1 mbar) and confinement time is about 1000 μs, nevertheless, a faster cooling was found with He buffer gas with 500 μs. ultimetly, the obtanied results performed an average cloud tempertures reduced from 1777 K to 448.3 K for Ne (1000 μs) and from 1787.9 K to 469.4 K for He (500 μs)

An Automated Code Generation for Both Improving Performance and Detecting Error in Self-Adaptive Modules (자가 적응 모듈의 성능 개선과 오류 탐지를 위한 코드 자동 생성 기법)

  • Lee, Joon-Hoon;Park, Jeong-Min;Lee, Eun-Seok
    • Journal of KIISE:Software and Applications
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    • v.35 no.9
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    • pp.538-546
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    • 2008
  • It has limits that system administrator deals with many problems occurred in systems because computing environments are increasingly complex. It is issued that systems have an ability to recognize system's situations and adapt them by itself in order to resolve these limits. But it requires much experiences and knowledge to build the Self-Adaptive System. The difficulty that builds the Self-Adaptive System has been problems. This paper proposes a technique that generates automatically the codes of the Self-Adaptive System in order to make the system to be built more easily. This Self-Adaptive System resolves partially the problems about ineffectiveness of the exceeded usage of the system resource that was previous research's problem and incorrect operation that is occurred by external factors such as virus. In this paper, we applied the proposed approach to the file transfer module that is in the video conferencing system in order to evaluate it. We compared the length of the codes, the number of Classes that are created by the developers, and development time. We have confirmed this approach to have the effectiveness.

Acoustic Target Strength Characteristics of Two Species of Multiple Jellyfishes, Aurelia aurita and Cyanea nozakii, in the Southern Coast of Korea (남해 연안에 분포하는 해파리(Aurelia aurita, Cyanea nozakii)의 복수 개체에 의한 음향 표적강도 특성)

  • Kang, Don-Hyug;Kim, Jung-Hun;Lim, Seon-Ho
    • Ocean and Polar Research
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    • v.32 no.2
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    • pp.113-122
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    • 2010
  • Understanding the abundance and distribution of massive jellyfish is necessary to forecast where or when their blooms will happen. The acoustic technique is one of the most useful methods of obtaining information if the acoustic characteristics of the targets are known. This study was conducted to determine the acoustic target strength (TS, dB) of two jellyfish species, Aurelia aurita and Cyanea nozakii, in the southern coast of Korea. For the ex situ measurements, 120, 200, and 420 kHz split beam transducers were used, and jellyfish with various bell lengths were arranged to prepare multiple jellyfish. Under 2 vertical individuals, the mean TS for multiple A. aurita at 120, 200, and 420 kHz was -72.7, -71.7, and -68.2 dB, respectively. In the case of 5 vertical individuals, the mean TS of the species was -71.3, -68.2, and -62.0 dB. Finally, the mean TS of C. nozakii at 120, 200, and 200 kHz was -62.0, -60.3, and -58.2 dB under 2 individuals and -58.1, -57.4, and -54.0 dB under 4 individuals, respectively. For both species, higher numbers of jellyfish resulted in a higher TS. In addition, higher frequencies were associated with a higher TS for the same jellyfish. These TS results for two species can be used as essential data for the acoustic detection of jellyfish in an open ocean or coastal area.

Nasal Administration of Granisetron to Rats (흰쥐를 이용한 Granisetron함유 경비 투여제제의 평가 및 그 적용)

  • Woo, Jong-Soo
    • Journal of Pharmaceutical Investigation
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    • v.36 no.6
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    • pp.363-369
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    • 2006
  • Granisetron is a selective 5-HT3 receptor antagonist that is used therapeutically for the prevention of vomiting and nausea associated with emetogenic cancer chemotherapy. Although this drug is commercially available for intravenous and oral dosage, there is a need for intranasal delivery formulations in specific patient populations in which the use of these dosage forms may be unfeasible and/or inconvenient. A rapid and specific high-performance liquid chromatography method with mass spectrometric detection(LC-MS) was developed and validated for the analysis of granisetron in plasma after nasal administration in rats. This method has been validated for concentrations ranging from 5 to 1000 ng/ml with simple treatment. This technique has high level reproducibility, accuracy, and sensitivity. The method described was found to be suitable for the analysis of all samples collected during preclinical pharmacokinetic investigations of granisetron in rats after nasal administration. This study was aimed to investigate the feasibility of nasal delivery of granisetron for the elimination of vomiting. The effects of osmolarity, dosage volume at the same dose and applied dose on the nasal absorption of granisetron in rats were observed. No significant difference in the effect of osmolarity and dosage volume at the same dose was observed. As the applied dose of granisetron in nasal formulation increased, the absorption increased linearly. Based on these results it appears that only the applied dose(drug mass) determines the nasal absorption of granisetron. The bioavailability of granisetron on nasal administration of 4 mg/kg appeared to be comparable to that of intravenous administration of the same dose. These results suggest that granisetron can be efficiently delivered nasally and the development of nasal formulation will be feasible.

An Automated Water Nitrate Monitoring System based on Ion-Selective Electrodes

  • Cho, Woo Jae;Kim, Dong-Wook;Jung, Dae Hyun;Cho, Sang Sun;Kim, Hak-Jin
    • Journal of Biosystems Engineering
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    • v.41 no.2
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    • pp.75-84
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    • 2016
  • Purpose: In-situ water quality monitoring based on ion-selective electrodes (ISEs) is a promising technique because ISEs can be used directly in the medium to be tested, have a compact size, and are inexpensive. However, signal drift can be a major concern with on-line management systems because continuous immersion of the ISEs in water causes electrode degradation, affecting the stability, repeatability, and selectivity over time. In this study, a computer-based nitrate monitoring system including automatic electrode rinsing and calibration was developed to measure the nitrate concentration in water samples in real-time. Methods: The capabilities of two different types of poly(vinyl chloride) membrane-based ISEs, an electrode with a liquid filling and a carbon paste-based solid state electrode, were used in the monitoring system and evaluated on their sensitivities, selectivities, and durabilities. A feasibility test for the continuous detection of nitrate ions in water using the developed system was conducted using water samples obtained from various water sources. Results: Both prepared ISEs were capable of detecting low concentrations of nitrate in solution, i.e., 0.7 mg/L $NO_3-N$. Furthermore, the electrodes have the same order of selectivity for nitrate: $NO_3{^-}{\gg}HCO_3{^-}$ > $Cl^-$ > $H_2PO_4{^-}$ > $SO{_4}^{2-}$, and maintain their sensitivity by > 40 mV/decade over a period of 90 days. Conclusions: The use of an automated ISE-based nitrate measurement system that includes automatic electrode rinsing and two-point normalization proved to be feasible in measuring $NO_3-N$ in water samples obtained from different water sources. A one-to-one relationship between the levels of $NO_3-N$ measured with the ISEs and standard analytical instruments was obtained.

Automatic Leather Quality Inspection and Grading System by Leather Texture Analysis (텍스쳐 분석에 의한 피혁 등급 판정 및 자동 선별시스템에의 응용)

  • 권장우;김명재;길경석
    • Journal of Korea Multimedia Society
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    • v.7 no.4
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    • pp.451-458
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    • 2004
  • A leather quality inspection by naked eyes has known as unreliable because of its biological characteristics like accumulated fatigue caused from an optical illusion and biological phenomenon. Therefore it is necessary to automate the leather quality inspection by computer vision technique. In this paper, we present automatic leather qua1ity classification system get information from leather surface. Leather is usually graded by its information such as texture density, types and distribution of defects. The presented algorithm explain how we analyze leather information like texture density and defects from the gray-level images obtained by digital camera. The density data is computed by its ratio of distribution area, width, and height of Fourier spectrum magnitude. And the defect information of leather surface can be obtained by histogram distribution of pixels which is Windowed from preprocessed images. The information for entire leather could be a standard for grading leather quality. The proposed leather inspection system using machine vision can also be applied to another field to substitute human eye inspection.

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Analysis Process based on Modify K-means for Efficiency Improvement of Electric Power Data Pattern Detection (전력데이터 패턴 추출의 효율성 향상을 위한 변형된 K-means 기반의 분석 프로세스)

  • Jung, Se Hoon;Shin, Chang Sun;Cho, Yong Yun;Park, Jang Woo;Park, Myung Hye;Kim, Young Hyun;Lee, Seung Bae;Sim, Chun Bo
    • Journal of Korea Multimedia Society
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    • v.20 no.12
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    • pp.1960-1969
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    • 2017
  • There have been ongoing researches to identify and analyze the patterns of electric power IoT data inside sensor nodes to supplement the stable supply of power and the efficiency of energy consumption. This study set out to propose an analysis process for electric power IoT data with the K-means algorithm, which is an unsupervised learning technique rather than a supervised one. There are a couple of problems with the old K-means algorithm, and one of them is the selection of cluster number K in a heuristic or random method. That approach is proper for the age of standardized data. The investigator proposed an analysis process of selecting an automated cluster number K through principal component analysis and the space division of normal distribution and incorporated it into electric power IoT data. The performance evaluation results show that it recorded a higher level of performance than the old algorithm in the cluster classification and analysis of pitches and rolls included in the communication bodies of utility poles.