• Title/Summary/Keyword: automatic test

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An Automatic Diagnosis Methods for Impact Location Estimation

  • Kim, Jung-Soo;Lyu, Joon
    • Journal of IKEEE
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    • v.3 no.1 s.4
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    • pp.101-108
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    • 1999
  • In this paper, a real time diagnostic algorithm for estimating the impact location by loose parts is proposed. It is composed of two modules such as the alarm discrimination module (ADM) and the impact-location estimation module(IEM). First, ADM decides whether the detected signal that triggers the alarm is the impact signal by loose parts or the noise signal. Second, IEM by use of the arrival time method estimates the impact location of loose parts. In order to validate the application of this method, the test experiment with a mock-up (flat board and reactor) system is performed. The experimental results show the efficiency of this algorithm even under high level noise and potential application to Loose Part Monitoring System (LPMS) for improving diagnosis capability in nuclear power plants.

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Extraction of Iris Codes for Personal Identification Using an Iris Image (홍채를 이용한 생체인식 코드 추출)

  • Yang, Woo Suk
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.8 no.6
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    • pp.1-7
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    • 2008
  • In this paper, we introduce a new technology to extract the unique features from an iris image, which uses scale-space filtering. Resulting iris code can be used to develop a system for rapid and automatic human identification with high reliability and confidence levels. First, an iris part is separated from the whole image and the radius and center of the iris are evaluated. Next, the regions that have a high possibility of being noise are discriminated and the features presented in the highly detailed pattern are then extracted. In order to conserve the original signal while minimizing the effect of noise, scale-space filtering is applied. Experiments are performed using a set of 272 iris images taken from 18 persons. Test results show that the iris feature patterns of different persons are clearly discriminated from those of the same person.

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A Case Report of Diabetic Retinopathy Vitreous Hemorrhage (당뇨망막병증성 유리체출혈 환자 치험 1례 보고)

  • Lee, Deuk-Joo;Lee, Ma-Eum;Kwon, Kang;Seo, Hyung-Sik
    • The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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    • v.31 no.2
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    • pp.152-159
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    • 2018
  • Objectives : The aim of this study is to report the effect of Korean medicine treatment on diabetic retinopathy vitreous hemorrhage. Methods : A 66-year-old female who had diabetes for over 20 years showed vitreous hemorrhage of Grade 4 at initial visit. For about 2 months, acupuncture, moxibustion and herbal medicine treatment were performed. Prognosis was confirmed by funduscopic examination, automatic refractive examination and visual acuity test. Results : In the fundus photographs, we can observe the recovery of turbidity in Grade 4, which decreases to Grade 1, and the result of refraction in the right eye and visual acuity that was not measured when the turbidity is severe. Conclusions : This study was a case of a patient with diabetic retinopathy vitreous hemorrhage complaining of decreased visual acuity. Patients were given herbal medication, acupuncture and moxibustion. Through the funduscopic examination, the treatment effect on the absorption of vitreous hemorrhage was confirmed.

Mushroom Image Recognition using Convolutional Neural Network and Transfer Learning (컨볼루션 신경망과 전이 학습을 이용한 버섯 영상 인식)

  • Kang, Euncheol;Han, Yeongtae;Oh, Il-Seok
    • KIISE Transactions on Computing Practices
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    • v.24 no.1
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    • pp.53-57
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    • 2018
  • A poisoning accident is often caused by a situation in which people eat poisonous mushrooms because they cannot distinguish between edible mushrooms and poisonous mushrooms. In this paper, we propose an automatic mushroom recognition system by using the convolutional neural network. We collected 1478 mushroom images of 38 species using image crawling, and used the dataset for learning the convolutional neural network. A comparison experiment using AlexNet, VGGNet, and GoogLeNet was performed using the collected datasets, and a comparison experiment using a class number expansion and a fine-tuning technique for transfer learning were performed. As a result of our experiment, we achieve 82.63% top-1 accuracy and 96.84% top-5 accuracy on test set of our dataset.

An Android BLE Emulator for Developing Wearable Apps (웨어러블 어플리케이션 개발을 위한 안드로이드 BLE 에뮬레이터)

  • Moon, Hyeonah;Park, Sooyong;Choi, Kwanghoon
    • KIISE Transactions on Computing Practices
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    • v.24 no.2
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    • pp.67-76
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    • 2018
  • BLE (Bluetooth Low Energy) has been extensively used for communication between mobile applications and wearable devices in IoT (Internet of Things). In developing Android applications, wearable devices, on which the applications can run, should be available because the existing Android SDK does not support any BLE emulation facility. In this study, we have designed and implemented the first Android BLE emulator. Using this, we are able to develop and test BLE-based Android applications even when without wearable devices. We have also proposed an automatic generation method of Android BLE scenarios based on graph model. We have shown that the method is useful for systematically testing BLE application protocols by running the generated scenarios on the Android BLE emulator.

Fundamental Research on Spring Season Daytime Sea Fog Detection Using MODIS in the Yellow Sea

  • Jeon, Joo-Young;Kim, Sun-Hwa;Yang, Chan-Su
    • Korean Journal of Remote Sensing
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    • v.32 no.4
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    • pp.339-351
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    • 2016
  • For the safety of sea, it is important to monitor sea fog, one of the dangerous meteorological phenomena which cause marine accidents. To detect and monitor sea fog, Moderate Resolution Imaging Spectroradiometer (MODIS) data which is capable to provide spatial distribution of sea fog has been used. The previous automatic sea fog detection algorithms were focused on detecting sea fog using Terra/MODIS only. The improved algorithm is based on the sea fog detection algorithm by Wu and Li (2014) and it is applicable to both Terra and Aqua MODIS data. We have focused on detecting spring season sea fog events in the Yellow Sea. The algorithm includes application of cloud mask product, the Normalized Difference Snow Index (NDSI), the STandard Deviation test using infrared channel ($STD_{IR}$) with various window size, Temperature Difference Index(TDI) in the algorithm (BTCT - SST) and Normalized Water Vapor Index (NWVI). Through the calculation of the Hanssen-Kuiper Skill Score (KSS) using sea fog manual detection result, we derived more suitable threshold for each index. The adjusted threshold is expected to bring higher accuracy of sea fog detection for spring season daytime sea fog detection using MODIS in the Yellow Sea.

Utilization of SketchUp for Efficient 3D Modeling of Buildings

  • Park, Joon Kyu;Lee, Keun Wang
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.35 no.5
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    • pp.431-438
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    • 2017
  • The information management system for urban planning, urban management and related decision making is increasing an importance in recent years. Especially, the information about 3D buildings in urban area is necessary for urban management related precise location based service. However, it takes a lot of time, effort, and costs to produce 3D modeling data of buildings. These problems have been found in many studies, but the research to solve these problems is still necessary. In this study, we have tested an efficient 3D modeling method of building to solve these problems. SketchUp was used to test 3D modeling methods with OSM(OpenStreetMap) data. The other 3D modeling method using a digital map was tested. The 3D modeling of building data was efficient using PlaceMaker, which can use OSM data. In addition, modeling was possible through simple editing of the digital map and automatic building generation. The efficiency of the research results is presented by comparing with the traditional method based on the regulation and the stadard man power issued by Korean government. These two 3D modeling methods of building tested through the study can be used as basic data for related research and work. Additional studies should be conducted to improve the accuracy of the building model and determine how to obtain height data efficiently.

Development of the Variable Parametric Performance Model of Torque Converter for the Analysis of the Transient Characteristics of Automatic Transmission (자동변속기의 과도특성 분석을 위한 토크 컨버터의 변동 파라미터 성능 모델 개발)

  • 임원식;이진원
    • Transactions of the Korean Society of Automotive Engineers
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    • v.10 no.1
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    • pp.244-254
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    • 2002
  • To enhance the acceleration performance and fuel consumption rate of a vehicle, the torque converter is modified or newly-developed with reliable analysis model. Up to recently, the one dimensional performance model has been used for the analysis and design of torque converter. The model is described with constant parameters based on the concept of mean flow path. When it is used in practice, some experiential correction factors are needed to minimize tole estimated error. These factors have poor physical meaning and cannot be applied confidently to the other specification of torque converter. In this study, the detail dynamic model of torque converter is presented to establish the physical meaning of correction factors. To verify the validity of model, performance test was carried out with various input speed and oil temperature. The effect of oil temperature on the performance is analysed, and it is applied to the dynamic model. And, to obtain the internal flow pattern of torque converter, CFD(Computational Fluid Dyanmics) analysis is carried out on three-dimensional turbulent flow. Correction factors are determined from the internal flow pattern, and their variation is presented with the speed ratio of torque converter. Finally, the sensitivity of correction factors to the speed ratio is studied for the case of changing capacity factor with maintaining torque ratio.

Feasibility for Ultrasound Pad Material for the Evaluation Axillary Region of Automated Breast Ultrasound Equipment (자동유방초음파 장비의 액와부 평가를 위한 초음파 패드 물질의 타당성)

  • Seo, Eun-Hee;Seoung, Youl-Hun
    • Journal of radiological science and technology
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    • v.41 no.3
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    • pp.231-240
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    • 2018
  • Automated breast ultrasound (ABUS) equipment is a new innovative technique for 3D automatic breast scanning, but limited for the examination in the concave axillary region. The purpose of this study was to determine feasible candidate materials for the ultrasonic wave propagation media in ABUS, enabling the evaluation of the axillary region. Ultrasonography was performed using an ABUS system ($Invenia^{TM}ABUS$, GE, USA) on the ultrasound-specific phantom (UC-551M-0.5, ATS Laboratories, USA) covered by different candidate materials. The validity of feasible candidate materials was evaluated by image quality. Three independent radiological technologists, with more than 10 years of experience, visually assessed on the images. The inter-observer agreements according to the candidate materials were tested using Cronbach's alpha. Unenveloped solidified carrageenan can be a feasible material for the use of ABUS with excellent test reliability. Therefore, the coverage of the axillary region with carrageenan may be effective for ABUS which was originally developed for the convex anatomic structure as female breast.

Laboratory Experiment to Characterize Thermal Properties of Recycled-Aggregate Backfill (실내시험을 통한 송배전관로 뒤채움재용 순환골재의 열적 특성 평가)

  • Wi, Ji-Hae;Hong, Sung-Yun;Lee, Dae-Soo;Han, Eun-Seon;Choi, Hang-Seok
    • Proceedings of the Korean Geotechical Society Conference
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    • 2010.09a
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    • pp.1231-1238
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    • 2010
  • Recently, the utilization of recycled aggregates for backfilling a power transmission pipeline trench has been increasing due to the issues of eco-friendly construction and shortage of natural aggregate resource. It is important to investigate the physical and thermal properties of the recycled aggregates that can be used as a backfill material. This study presents the thermal properties of two types of recycled aggregates with various particle size distributions. The thermal properties of the recycled aggregate were measured using the transient hot wire method and the probe method after performing the standard compaction test using an automatic compactor. Similar to silica sand, the thermal resistivity of the recycled aggregates decreased when the water content increased. This study shows that the recycled aggregate can be a promising backfill material substituting for natural aggregate when backfilling the power transmission pipeline trench.

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