• 제목/요약/키워드: Determination of Defects

검색결과 97건 처리시간 0.025초

동시계수 양전자 소멸 측정에 의한 양성자 조사된 BaSrFBr:Eu 박막 특성 (The Characterization of Proton Irradiated BaSrFBr:Eu Film by the Coincidence Doppler Broadening Positron Annihilation Spectroscopy)

  • 김주흥;;이종용
    • 한국진공학회지
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    • 제18권6호
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    • pp.447-452
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    • 2009
  • 동시 계수 도플러 넓어짐 양전자 소멸 분광법과 양전자 소멸 수명 측정법으로 BaSrFBr:Eu의 박막 시료에 0, 3, 5, 7.5 MeV 에너지의 양성자 조사에 의한 결함을 측정하여 박막구조 특성에 대하여 조사하였다. 양전자와 전자의 쌍소멸로 발생하는 511 keV 감마선 스펙트럼의 수리적 해석 방법인 S-변수를 사용하여, 박막 구조 변화를 측정하였다. 본 연구에서 측정된 S-변수가 박막에 조사된 양성자의 빔 에너지에 따라 변하지 않고 거의 일정한 값을 보였다. 따라서 양성자 조사에너지의 세기 변화에 따라 결함이 증가하지 않았으며, 그 이유는 양성자 조사 에너지에 따른 Bragg 피크 때문에 박막 시료의 특정 깊이에 결함을 형성하여 박막전체의 결함으로 잘 나타나지 않기 때문으로 판단된다. 향후, 박막의 두께에 따른 결함의 분포를 측정하기 위해서는 양전자 선원 Na의 사용 대신 양전자 빔을 이용하여야 한다.

객체지향 메트릭을 이용한 결함 예측 모형의 임계치 설정에 관한 실험 (An Experiment for Determining Threshold of Defect Prediction Models using Object Oriented Metrics)

  • 김윤규;채흥석
    • 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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    • 제15권12호
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    • pp.943-947
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    • 2009
  • 소프트웨어의 결함을 예측하고 검증과 확인 활동을 통하여 효율적인 자원을 관리하기 위하여 많은 연구에서 결함 예측 모형을 제안하고 있다. 하지만 기존의 연구는 예측율이 최대 효과를 보이는 임계치에 결함 예측 모형의 예측율을 평가하고 있다. 이는 측정 시스템의 결함 정보를 알고 있는 가정하에서 평가가 이루어지는 것이기 때문에 실제 결함 정보를 알 수 없는 시스템에서는 최적의 임계치를 결정할 수 없다. 그러므로 임계치 선정의 중요성을 확인하기 위하여 본 연구에서는 결함 예측 모형으로 타 시스템의 결함을 예측하는 비교 실험을 하였다. 실험은 기존에 제안된 3개의 결함 예측 모형과 4개의 시스템을 대상으로 하였고 결함 예측 모형의 임계치별 예측의 정확성을 비교하였다. 실험결과에서 임계치는 모형의 예측율과 높은 관련이 있었지만 실제 결함 정보가 확인 안 되는 시스템에 대하여 결함을 예측하는 경우에는 임계치를 선정할 수 없음을 확인하였다. 따라서 결함 예측 모형을 타 시스템에 적용하기 위하석 임계치 선정에 관한 추후 연구가 필요함을 확인하였다.

인공 신경망을 이용한 실시간 용접품질 예측에 관한 연구 (A Study on the Prediction of Welding Flaw Using Neural Network)

  • 조재형;고상현
    • 디지털융복합연구
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    • 제17권5호
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    • pp.217-223
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    • 2019
  • 자동차 분야에서 저항 점용접의 결함 및 품질을 실시간으로 예측할 수 있는 연구는 원가절감과 고품질 생산을 위한 필수 불가결한 연구 분야라 할 수 있다. 용접 품질은 전단강도와 너깃의 크기에 의해서 결정되며 여러 가지 독립변수에 따라 결과가 달라진다. 실시간 예측시스템을 개발하기 위하여 다중 회귀분석을 실시하여 3개의 독립변수로 두 가지 종속변수를 충분한 통계적 결과로 구하였으나 회귀식에 의한 품질 예측은 정확도를 보장할 수 없었다. 본 연구에서는 다층 신경망 회로를 구축하였다. 10가지의 동저항 변수에 의한 신경망은 3개의 은닉층을 구축하여 실행 함수와 가중치 행렬을 구하였다. 그러나 이 경우, 입력 변수가 너무 많아 실시간 제어에 어려움이 있을 수 있으므로 회귀분석에 의한 3개의 독립변수로 신경망을 구축하였다. 그 결과 모든 시험데이터를 불량, 부분 불량, 양품으로 구분하는데 성공하였다. 따라서 다중 회귀분석에 의해서 구한 3개의 독립변수에 의한 실시간 용접 품질 판정 시스템을 완성할 수 있었다.

컴포넌트 소프트웨어 품질 평가 모듈 설계 (Design of Quality Evaluation Criteria for Component Software)

  • 유지현;이병걸
    • 인터넷정보학회논문지
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    • 제4권1호
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    • pp.39-52
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    • 2003
  • 사회 및 경제가 발전함에 따라 소프트웨어 품질에 관심이 많아지며 고품질의 소프트웨어 생산을 위한 노력이 많이 이루어지고 있다. 이러한 소프트웨어의 가치를 평가하기 위해 ISO/IEC 9126 등의 표준안들이 많이 제공되고 있지만, 이러한 표준안들은 소프트웨어 항목 특성 및 평가 프로세스의 모형만을 제시하고 있을 뿐 평가 시 측정되는 평가 항목의 가중치에 대한 언급은 없다. 이에 본 논문에서는 ISO/IEC 9126의 지침에 따라 소프트웨어의 품질을 평가함에 있어 평가 항목간의 중요도 관계를 나타내는 평가 항목 가중치를 객관적이고 정량적인 방법으로 산출하여 품질 평가의 신뢰성을 높이고자 한다. 이러한 평가 항목에 대한 가중치 계산 방법의 바탕이 되는 이론으로, 각각의 평가 항목에 대한 신뢰 함수를 사용하여 평가 기준의 불확실성을 제거할 수 있게 하는 Dempster-Shafer 이론을 사용하며 더 나아가 Dempster-Shafer이론의 결합 규칙의 문제점을 개선하여 상호 배타적인 가설들의 결합 문제에도 효율적으로 적용하였다. 또한 평가자들의 정성적 인 표현으로부터 기초확률할당함수 값을 도출하는 정량화 기법의 사용으로 보다 효율적인 가중치 결정 기법을 제안하였다.

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Effects of particle size and loading rate on the tensile failure of asphalt specimens based on a direct tensile test and particle flow code simulation

  • Q. Wang;D.C. Wang;J.W. Fu;Vahab Sarfarazi;Hadi Haeri;C.L. Guo;L.J. Sun;Mohammad Fatehi Marji
    • Structural Engineering and Mechanics
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    • 제86권5호
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    • pp.607-619
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    • 2023
  • This study, it was tried to evaluate the asphalt behavior under tensile loading conditions through indirect Brazilian and direct tensile tests, experimentally and numerically. This paper is important from two points of view. The first one, a new test method was developed for the determination of the direct tensile strength of asphalt and its difference was obtained from the indirect test method. The second one, the effects of particle size and loading rate have been cleared on the tensile fracture mechanism. The experimental direct tensile strength of the asphalt specimens was measured in the laboratory using the compression-to-tensile load converting (CTLC) device. Some special types of asphalt specimens were prepared in the form of slabs with a central hole. The CTLC device is then equipped with this specimen and placed in the universal testing machine. Then, the direct tensile strength of asphalt specimens with different sizes of ingredients can be measured at different loading rates in the laboratory. The particle flow code (PFC) was used to numerically simulate the direct tensile strength test of asphalt samples. This numerical modeling technique is based on the versatile discrete element method (DEM). Three different particle diameters were chosen and were tested under three different loading rates. The results show that when the loading rate was 0.016 mm/sec, two tensile cracks were initiated from the left and right of the hole and propagated perpendicular to the loading axis till coalescence to the model boundary. When the loading rate was 0.032 mm/sec, two tensile cracks were initiated from the left and right of the hole and propagated perpendicular to the loading axis. The branching occurs in these cracks. This shows that the crack propagation is under quasi-static conditions. When the loading rate was 0.064 mm/sec, mixed tensile and shear cracks were initiated below the loading walls and branching occurred in these cracks. This shows that the crack propagation is under dynamic conditions. The loading rate increases and the tensile strength increases. Because all defects mobilized under a low loading rate and this led to decreasing the tensile strength. The experimental results for the direct tensile strengths of asphalt specimens of different ingredients were in good accordance with their corresponding results approximated by DEM software.

Determination of the critical diabetes duration in a streptozotocin-induced diabetic rat calvarial defect model for experimentation regarding bone regeneration

  • Kim, Hyun Ju;Jung, Bo Hyun;Yoo, Ki-Yeon;Han, Jin-Woo;Um, Heung-Sik;Chang, Beom-Seok;Lee, Jae-Kwan
    • Journal of Periodontal and Implant Science
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    • 제47권5호
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    • pp.339-350
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    • 2017
  • Purpose: The purpose of this study was to determine the critical diabetes duration in a streptozotocin (STZ)-induced diabetic rat calvarial defect model for experimentation regarding bone regeneration by evaluating the association between diabetes duration and bone healing capacity through histological and radiographic analyses. Methods: Experimental diabetes was induced in 50 of 60 rats by an STZ injection. The rats were divided into 5 groups, including a control group (group 1), according to diabetes durations of 0, 2, 4, 6, and 8 weeks, respectively. Eighteen rats survived: 4 in group 1, 4 in group 2, 4 in group 3, 5 in group 4, and 1 in group 5. Calvarial defects were created at 0, 2, 4, 6, and 8 weeks after STZ injection in groups 1-5. Cone-beam computed tomography scanning was performed at baseline and at 5 and 7 weeks after surgery. The rats were sacrificed 7 weeks after surgery, followed by histological evaluation. Results: The voxel gray values (VGVs) of group 1 and group 2 increased, whereas the VGVs of group 3 and group 4 decreased starting 5 weeks after surgery, although this trend did not reach statistical significance between groups. On the reconstructed 3-dimensional images and based on an analysis of histological features, groups 1 and 2 showed apparent bone regeneration, while groups 3-5 showed very limited bone regeneration. Conclusions: The critical diabetes duration in an STZ-induced diabetic rat calvarial defect model for experimentation regarding bone regeneration was between 2 and 4 weeks. It is suggested that researchers who use STZ-induced diabetic rats wait for more than 2 weeks following diabetes induction before placing implants or conducting bone regeneration studies to allow definite disturbances in bone healing to emerge.

Automatic Detection of Malfunctioning Photovoltaic Modules Using Unmanned Aerial Vehicle Thermal Infrared Images

  • Kim, Dusik;Youn, Junhee;Kim, Changyoon
    • 한국측량학회지
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    • 제34권6호
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    • pp.619-627
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    • 2016
  • Cells of a PV (photovoltaic) module can suffer defects due to various causes resulting in a loss of power output. As a malfunctioning cell has a higher temperature than adjacent normal cells, it can be easily detected with a thermal infrared sensor. A conventional method of PV cell inspection is to use a hand-held infrared sensor for visual inspection. The main disadvantages of this method, when applied to a large-scale PV power plant, are that it is time-consuming and costly. This paper presents an algorithm for automatically detecting defective PV panels using images captured with a thermal imaging camera from an UAV (unmanned aerial vehicle). The proposed algorithm uses statistical analysis of thermal intensity (surface temperature) characteristics of each PV module to verify the mean intensity and standard deviation of each panel as parameters for fault diagnosis. One of the characteristics of thermal infrared imaging is that the larger the distance between sensor and target, the lower the measured temperature of the object. Consequently, a global detection rule using the mean intensity of all panels in the fault detection algorithm is not applicable. Therefore, a local detection rule was applied to automatically detect defective panels using the mean intensity and standard deviation range of each panel by array. The performance of the proposed algorithm was tested on three sample images; this verified a detection accuracy of defective panels of 97% or higher. In addition, as the proposed algorithm can adjust the range of threshold values for judging malfunction at the array level, the local detection rule is considered better suited for highly sensitive fault detection compared to a global detection rule. In this study, we used a panel area extraction method that we previously developed; fault detection accuracy would be improved if panel area extraction from images was more precise. Furthermore, the proposed algorithm contributes to the development of a maintenance and repair system for large-scale PV power plants, in combination with a geo-referencing algorithm for accurate determination of panel locations using sensor-based orientation parameters and photogrammetry from ground control points.

치아회분과 석고혼합제제 매식후 Digital Subtraction Radiography에 의한 골량 변화의 평가 (Evaluation of Bone Change by Digital Subtraction Radiography after Implantation of Tooth Ash-plaster Mixture)

  • 김재덕;김광원;조영곤;김동기;최의환
    • 치과방사선
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    • 제29권2호
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    • pp.423-433
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    • 1999
  • Purpose : To assess the methods for the clinical evaluation of the longitudinal bone changes after implantation of tooth ash-plaster mixture into the defect area of human jaws. Materials and methods : Tooth ash-plaster mixtures were implanted into the defects of 8 human jaws. 48 intraoral radiograms taken with copper step wedge as reference at soon, 1st, 2nd, 4th, and 6th week after implantation of mixture were used. X-ray taking was standardized by using Rinn XCP device customized directly to the individual dentition with resin bite block. The images inputted by Quick scanner were digitized and analyzed by NIH image program. Cu­equivalent values were measured at the implanted sites from the periodic digital images. Analysis was performed by the bidirectional subtraction with color enhancement and the surface plot of resliced contiguous image. The obtained results by the two methods were compared with Cu­equivalent value changes. Results : The average determination coefficient of Cu-equivalent equations was 0.9988 and the coefficient of variation of measured Cu values ranged from 0.08~0.10. The coefficient of variation of Cu-equivalent values measured at the areas of the mixture and the bone by the conversion equation ranged from 0.06 ~0.09. The analyzed results by the bidirectional subtraction with color enhancement were coincident with the changes of Cu-equivalent values. The surface plot of the resliced contiguous image showed the three dimensional view of the longitudinal bone changes on one image and also coincident with Cu-equivalent value changes after implantation. Conclusion : The bidirectional subtraction with color enhancement and the surface plot of the resliced contiguous image was very effective and reasonable to analyze clinically and qualitatively the longitudinal bone change. These methods are expected to be applicable to the non-destructive test in other fields.

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Monitoring of white striping and wooden breast cases and impacts on quality of breast meat collected from commercial broilers (Gallus gallus)

  • Malila, Yuwares;U-chupaj, Juthawut;Srimarut, Yanee;Chaiwiwattrakul, Premsak;Uengwetwanit, Tanaporn;Arayamethakorn, Sopacha;Punyapornwithaya, Veerasak;Sansamur, Chalutwan;Kirschke, Catherine P.;Huang, Liping;Tepaamorndech, Surapun;Petracci, Massimiliano;Rungrassamee, Wanilada;Visessanguan, Wonnop
    • Asian-Australasian Journal of Animal Sciences
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    • 제31권11호
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    • pp.1807-1817
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    • 2018
  • Objective: This study aimed at investigating white striping (WS) and wooden breast (WB) cases in breast meat collected from commercial broilers. Methods: A total of 183 breast samples were collected from male Ross 308 broilers slaughtered at the age of 6 weeks (n = 100) and 7 weeks (n = 83). The breasts were subjected to meat defect inspection, meat quality determination and histology evaluation. Results: Of 183, 4 breasts from 6-week-old broilers were classified as non-defective while the others exhibited the WS lesion. Among the 6-week-old birds, the defective samples from the medium size birds (carcass weight ${\leq}2.5kg$) showed mild to moderate WS degree with no altered meat quality. Some of the breasts from the 6-week-old birds with carcass weight above 2.5 kg exhibited WB in accompanied with the WS condition. Besides of a reduction of protein content, increases in collagen matter and pH values in the defective samples (p<0.05), no other impaired quality indices were detected within this group. All 7-week-old broilers yielded carcasses weighing above 2.5 kg and showed abnormal characteristics with progressive severity. The breasts affected with severe WS and WB showed the greatest cook loss, hardness, springiness and chewiness (p<0.05). Development of WB induced significantly increased drip loss in the samples (p<0.05). Histology indicated necrotic events in the defective myofibers. Based on logistic regression, increasing percent breast weight by one unit enhanced the chance of WS and WB development with advanced severity by 50.9% and 61.0%, respectively. Delayed slaughter age from 6 to 7 weeks increased the likelihood of obtaining increased WS severity by 56.3%. Conclusion: Cases of WS and WB defects in Southeast Asia have been revealed. Despite few cases of the severe WS and WB, such abnormal conditions significantly impaired technological properties and nutritional quality of broiler breasts.

강판형교에서의 효율적인 결함검출을 위한 AE기법의 적용 (An Effective Application of AE Technique for the Detection of Defects in Steel Girder Bridges)

  • 김상효;윤동진;이상호;김형석;박영진
    • 한국강구조학회 논문집
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    • 제9권3호통권32호
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    • pp.287-300
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    • 1997
  • 본 연구에서는 음향방출기술을 적용한 실내모형실험을 통하여 강판형교의 피로 취약부위에서의 결함을 효과적으로 검출할 수 있는 AE기법을 제시하였다. 잔존수명의 산정에 의해 부재간의 상대적인 취약도를 비교 분석하면 교량의 안전점검시 점검대상의 우선순위와 범위를 결정할 수 있어 보다 효율적인 AE기술의 적용이 가능함을 알 수 있었다. 경제적이고 효율적인 AE기술의 적용을 연구하기 위하여 실시한 실험을 통한 주파수 분석 결과 차량통행시 잡음은 100~200 kHz사이에 집중되었고 균열에서의 AE신호는 400~500kHz 사이에 편중됨을 알았다. 따라서 R30 센서가 강판형교의 결함검출에 적합한 센서라고 판단되었다. 균열을 도입하여 실험한 결과 모의 AE발생원에 의해 결정된 위치 표정방법이 실제 균열이 발생할 때에도 잘 적용되며, 하중의 증가와 균열의 진전길이 등을 AE신호의 발생빈도와 비교한 결과 거의 선형적으로 비례함이 밝혀졌다. 그리고. 강교량과 같은 대형구조물에 적합한 경제적이고 효율적인 위치표정방법도 실험을 통하여 검증하였다.

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