• 제목/요약/키워드: 검사모델

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Line-of-Sight (LOS) Vector Adjustment Model for Restitution of SPOT 4 Imagery (SPOT 4 영상의 기하보정을 위한 시선 벡터 조정 모델)

  • Jung, Hyung-Sup
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.28 no.2
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    • pp.247-254
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    • 2010
  • In this paper, a new approach has been studied correcting the geometric distortion of SPOT 4 imagery. Two new equations were induced by the relationship between satellite and the Earth in the space. line-of-sight (LOS) vector adjustment model for SPOT 4 imagery was implemented in this study. This model is to adjust LOS vector under the assumption that the orbital information of satellite provided by receiving station is uncertain and this uncertainty makes a constant error over the image. This model is verified using SPOT 4 satellite image with high look angle and thirty five ground points, which include 10 GCPs(Ground Control Points) and 25 check points, measured by the GPS. In total thirty five points, the geometry of satellite image calculated by given satellite information(such as satellite position, velocity, attitude and look angles, etc) from SPOT 4 satellite image was distorted with a constant error. Through out the study, it was confirmed that the LOS vector adjustment model was able to be applied to SPOT4 satellite image. Using this model, RMSEs (Root Mean Square Errors) of twenty five check points taken by increasing the number of GCPs from two to ten were less than one pixel. As a result, LOS vector adjustment model could efficiently correct the geometry of SPOT4 images with only two GCPs. This method also is expected to get good results for the different satellite images that are similar to the geometry of SPOT images.

Modeling of Radiation Beams from Ultrasonic Transducers in a Single Medium (단일 매체에서의 평면 초음파 탐촉자의 방사 음장 모델링 기법)

  • Song, Sung-Jin;Kim, Hak-Joon
    • Journal of the Korean Society for Nondestructive Testing
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    • v.20 no.2
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    • pp.91-101
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    • 2000
  • Modeling of radiation beam from ultrasonic transducers has been investigated extensively, since it is one of the most important, fundamental issues that have great influence on the accuracy of an ultrasonic measurement model. Here, three popular radiation models, namely the Rayleigh-Sommerfeld integral model, the boundary diffraction wave model and the edge element model, are discussed briefly, and the radiation beam fields from ultrasonic transducers with planar, circular and rectangular cross-sections are calculated using these three models. Then, the accuracy and the time-efficiency of these methods are compared based on the calculation results.

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Study on the Selection Criteria of 3D Collision Detection Model (3D 충돌 검출 모델의 선정 기준에 관한 연구)

  • Kang, Yun-Mi;Park, Young-B.
    • Journal of IKEEE
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    • v.7 no.2 s.13
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    • pp.253-259
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    • 2003
  • In a good 3D engine, objects interactions are similar to those of real-world. Collision is one of the interactions. It includes whether collision took place or not, where collision took placed, and reaction after collision took place. More precise collision detection needs more time. If there exist required precision, detection time can be controlled by choosing appropriate detection model. Therefore, we need a selection mechanism for the collision detection with respect to required precision and detection time. In this paper, a collision detection model with seven different precision levels is examined. And relationship between detection time and precision is analyzed. Consequently, we propose a selection mechanism for collision detection model.

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Validating the Translated Version of CARS(Changes in Attitude About the Relevance of Science), Exploring Variables Related to CARS Scores, and Constructing Two Equivalent Test Sets of CARS (과학 관련성 태도 변화 검사도구(CARS-Changes in Attitude about the Relevance of Science) 번역본의 타당도와 관련 변인 탐색 및 동형 검사 도구 구성)

  • Park, Eunju;Lee, Sangeui;Rachmatullah, Arif;Ha, Minsu
    • Journal of Science Education
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    • v.41 no.2
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    • pp.179-194
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    • 2017
  • The purpose of this study is to construct two equivalent science relevance recognition test tool after confirming the reliability and validity of the CARS(Changes in Attitude of Relevance to Science) questionnaire to determine the applicability of the items to Korean students and to compare gender and school differences. For this study, 59 items of the CARS scientific relevance test were translated and assigned to 787 middle and high school students (analyed the answer of 300 middle school students and 431 high school students). In order to determine the fit of the CARS question to Korean students and to overcome the limitation of the number of questions, we used the item-linking method of the Rasch model. By analyzing the results of the research, we constructed two equivalent scientific relevance recognition questionnaires of CARS-A and CARS-B with 25 items. The Pearson correlation coefficient of the Rasch scores of the two equivalent test was 0.78. The two types of scientific relevance recognition test tools generated through this study can be used to confirm students' attitude of scientific relevance to daily life, or to confirm the change after a certain class or grade. Through this study, we will discuss the implications of students' perceptions of science associations in science education, and the development and application of tools.

A Method of Machine Learning-based Defective Health Functional Food Detection System for Efficient Inspection of Imported Food (효율적 수입식품 검사를 위한 머신러닝 기반 부적합 건강기능식품 탐지 방법)

  • Lee, Kyoungsu;Bak, Yerin;Shin, Yoonjong;Sohn, Kwonsang;Kwon, Ohbyung
    • Journal of Intelligence and Information Systems
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    • v.28 no.3
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    • pp.139-159
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    • 2022
  • As interest in health functional foods has increased since COVID-19, the importance of imported food safety inspections is growing. However, in contrast to the annual increase in imports of health functional foods, the budget and manpower required for inspections for import and export are reaching their limit. Hence, the purpose of this study is to propose a machine learning model that efficiently detects unsuitable food suitable for the characteristics of data possessed by government offices on imported food. First, the components of food import/export inspections data that affect the judgment of nonconformity were examined and derived variables were newly created. Second, in order to select features for the machine learning, class imbalance and nonlinearity were considered when performing exploratory analysis on imported food-related data. Third, we try to compare the performance and interpretability of each model by applying various machine learning techniques. In particular, the ensemble model was the best, and it was confirmed that the derived variables and models proposed in this study can be helpful to the system used in import/export inspections.

Accuracy Urinalysis Discrimination Method based on high performance CNN (고성능 CNN 기반 정밀 요검사 판별 기법)

  • Baek, Seung-Hyeok;Choi, Hong-Rak;Kim, Kyung-Seok
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.6
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    • pp.77-82
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    • 2021
  • There are three types of urinalysis: physical test, chemical test, and microscopic test. Among these, the chemical urinalysis is an easily accessible method of the general public to compare the chemical reaction of urinalysis strip with a standard colorimetric table by sight or purchase the portable urinalysis machine separately. Currently, with the popularization of smartphone, research on the urinalysis service using smartphone is increasing. The urinalysis screening application is one of the urinalysis services using a smartphone. However, the RGB values of the urinalysis pad taken by the urinalysis screening application have large deviations due to the effect of lighting. Deviation of RGB value debases the accuracy of urinalysis discrimination. Therefore, in this paper, the accuracy of urinaylsis pad image discrimination is improved through CNN after classifying urinalysis strips taken by the urinalysis screening application based on smartphone by urinalysis pad items. Urinalysis strip was taken from various backgrounds to generate CNN image, and urinalysis discrimination was analyzed using the ResNet-50 CNN model.

An Inspection Method for Injection Molded Automotive Parts using Line-Scan (라인스캔을 이용한 자동차 사출성형 부품의 검사 기술)

  • Yun, Jae-Sik;Kim, Jin-Wook;Huh, Man-Tak;Kim, Seok-Tae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.05a
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    • pp.805-807
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    • 2011
  • In this paper, we propose a method to inspect defects of injection molded automotive parts. In order to inspect them, we developed and used a line detection algorithm and a defect analysis algorithm. The line detection algorithm defines center point of a laser line and the inspection algorithm determines the defects of automotive parts using pattern data of inspected objects and the data results from the line detection algorithm. We evaluated the accuracy and the processing time of inspection and they showed good performance.

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Effects of HyangsosanGamibang on the $PPAR{\gamma}$ in the bronchial asthma mouse model (천식 백서(喘息 白鼠)에서 향소산가미방(香蘇散加味方)의 $PPAR{\gamma}$에 대한 효과)

  • Park, Eun-Jung;Lee, Hai-Ja;Oh, Ji-Eun
    • The Journal of Pediatrics of Korean Medicine
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    • v.21 no.1
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    • pp.41-51
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    • 2007
  • 목적 : OVA에 유도된 천식 쥐 모델에 향소산가미방을 투여한 후 $PPAR{\gamma}$의 변화를 조사하여 향소산가미방의 천식 치료 기전을 알아보고자 하였다. 대상 및 방법 : 8주된 암컷 BALB/c 마우스에 첫 날과 14일 후에 20 ${\mu}g$의 OVA를 알루미니윰 하이드록사이드 1mg과 혼합한 후 총 200 ${\mu}g$를 복강 내로 주입하여 감작시켰다. 처음 감작시킨 날로부터 21,22,23일 후에 천식 모델에 사용하는 초음파 분무기를 이용하여 세 번째 감작시켜서 천식 마우스 모델을 만들었다. 천식 마우스 모델을 만드는 기간 중 OVA를 복강 내로 주입한 후 19일째에 24시간의 간격으로 향소산가미방을 7일 동안 경구 투여하여 향소산가미방의 효과를 조사하였다. 기관지폐포세척술은 마지막 감작 후 72시간 후에 실행하고 기관지폐포 세척액의 총 세포수를 측정하였다. $PPAR{\gamma}$의 발현은 천식 마우스 모델의 폐와 향소산가미방을 투여한 마우스 모델의 폐를 적출한 후 Western blotting 방법을 아용하여 측정하였다. 병리 조직학적 검사는 hematoxylin 2 and eosin-Y 염색을 이용하여 조사하였다. 결과 : 정상 군과 비교하여 OVA감작 천식 쥐 모델에서는 72시간 후에 총 세포 수가 증가하였다. 특히 OVA감작 천식 군에서 증가된 호산구의 수가 향소산가미방을 투여 한 쥐 군에서는 유의하게 감소하였다. OVA감작 천식 쥐 모델에서 72시간 후에 정상 군과 비교하여 핵 내에서의 $PPAR{\gamma}$단백질의 발현이 약간 증가하였다. 그러나 향소산가미방을 투여한 쥐 모델에서는 세포질과 핵 내에서 $PPAR{\gamma}$단백질의 발현이 유의하게 증가하였다. 조직학적 검사상 정상 군과 비교하여 OVA 감작된 천식 쥐 모델에서는 폐포, 세기관지, 기도내강 주변에 많은 염증 세포들이 있었다. 그러나 가미향소산 을 투여 한 후에는 염증 세포들이 유의하게 감소하였다. 결론 : 가미향소산은 $PPAR{\gamma}$작용제로서 역할을 하며, 천식에 대한 치료제 또는 예방제를 개발하는 데 후보 물질이 될 것으로 사료된다.

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Simulations for Internal Defect Inspection Using Laser Generated Ultrasonic Wave in Ablation Regime (어블레이션 영역 레이저 초음파의 시뮬레이션과 내부결함 검사)

  • Kim, Jin-Gyum;Choi, Sungho;Jhang, Kyung-Young
    • Journal of the Korean Society for Nondestructive Testing
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    • v.34 no.3
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    • pp.226-232
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    • 2014
  • In the present study, the characteristics of laser ultrasound in the ablation regime are investigated using simulations and experiments. The laser ultrasonic technique has been recognized as a noncontact method in the field of nondestructive tests (NDTs). In hostile environments (such as hot temperatures), this method has various advantages over the conventional contact ultrasonic method. In particular, in the ablation regime, the laser ultrasonic technique is suitable for inspecting internal defects because of the high amplitude and directivity of the longitudinal wave. In this paper, a simulation model for laser ultrasound in the ablation regime was developed. This model was subsequently applied to a defective specimen using the B-scan method to locate defects. Finally, we performed an experimental test to verify the simulation results. Consequently, the simulation demonstrated good agreement with the experimental test.

Development of PC-Based Client/Server Puretone Audiometer supporting Multiple Subject Concurrently (다수 피검자를 동시 검사할 수 있는 PC 기반 클라이언트/서버 순음청력검사 시스템 개발)

  • Song, Bok-Deuk;Kang, Deok-Hun;Lee, Wan-Jik;Shin, Bum-Joo;Kim, Jin-Dong;Kong, Soo-Keun;Lee, Il-Woo;Jeon, Gye-Rok;Wang, Soo-Geun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.6
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    • pp.2225-2233
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    • 2010
  • Current puretone audiometer takes an operation model, so called face-to-face model, in which model an audiometrist assesses only one subject at a time. Such model results in high cost and long waiting time when there exist many patients. In order to solve such a disadvantage of face-to-face model, we have developed PC-based audiometer supporting client/server model, in which model one audiometrist is able to measure several subjects concurrently. This model has an architecture like that several PCs for subjects are connected to an audiometrist's PC through LAN and each assessment process of subjects are displayed onto audiometrist's monitor in real time. And if necessary, it makes possible for audometrist to adjust the assessment progress of particular subject like as a face to face model.