• Title/Summary/Keyword: accuracy test

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Accuracy Assessment of DTM by Airborne Laser Mapping System (항공 레이저 매핑 시스템에 의한 DTM 생성의 정확도 분석)

  • 김영배;서정헌;임삼성
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.20 no.2
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    • pp.105-110
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    • 2002
  • For the accuracy assessment of DTM obtained by Airborne Laser Mapping Systems (ALMS), we selected 500 m spaced test points and analyze the accuracy of the DTM by various methods including GPS survey. To estimate the height at the point in between the test points of the DTM we produced a TIN, and to analyze the accuracy we use a GPS coverage map overlaid with the TIN. Compared with the existing method, DTM by ALMS is shown to be relatively accurate, and therefore, ALMS is applicable to 1/5000 digital terrain mapping.

A Benchmark Study on the Stereo-lithography-type Rapid Prototyping Apparatus using Transparent Materials (투명 재료를 사용하는 광조형 방식 쾌속조형 장비의 성능 비교 시험)

  • Kim, Gi-Dae;Sung, Joo-Hyung
    • Journal of the Korean Society for Precision Engineering
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    • v.24 no.6
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    • pp.138-145
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    • 2007
  • Among various rapid prototyping processes, stereo-lithography process which can manufacture transparent prototype is known to be the greatest in the form & dimensional accuracy and surface roughness. In this paper, bench mark tests of 4 stereo-lithography-type rapid prototyping apparatus were carried out using transparent materials. The test includes measurement of mechanical properties, form accuracy, building speed and manufacturing cost. It was observed that ViperPRO of 3D systems is advantageous in the mechanical properties and building speed, RM600011 of CMET in sub-milli scale form accuracy and manufacturing cost, and relatively economical Eden500V of Objet is great in tensile strength at room temperature.

Development of Rain Gauge and Observation Error (우량계 개발과 측정 오차)

  • 김대원;이부용
    • Journal of Environmental Science International
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    • v.11 no.10
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    • pp.1055-1060
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    • 2002
  • A new method of automatic recording raingauge is developed to measure rainfall 1200mm full scale with high accuracy and resolution. The principle of new instrument is to detect a weight change of a buoyant weight according to a change in water level of raingauge measured by the use of a strain gauge load cell. This method has the advantage of increasing measurement accuracy, since no moving equipment is used. Laboratory test of the instrument was recorded 0.4% error of 190mm rainfall amount. The validity of new instrument was examined by comparing its measured values with values recorded by automatic weather station on June 24 to 25 2001 at Daegu Meteorological Station, when there is 148.3mm rainfall amount. In spite of much rainfall there is only 0.77mm difference of total rainfall amount. This instrument was accomplished high accuracy and resolution at field test in much rainy day.

Accuracy Evaluation of Regional Wall Motion Abnormality in Echocardiography and Cardiac Enzymes in the Diagnosis of Ischemic Heart Disease (허혈성심장질환 진단에서 심장초음파의 국소벽운동이상과 심장효소의 정확성 평가)

  • Kim, Hee-Young;Ji, Tae-Jeong
    • Journal of radiological science and technology
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    • v.45 no.4
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    • pp.321-330
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    • 2022
  • Echocardiography and cardiac enzymes test are the tests to assess ischemic heart disease. The purpose of this study was to verify the accuracy by comparing and analyzing two tests for the diagnosis of ischemic heart disease. A retrospective study was conducted on 393 study subjects who underwent echocardiography and cardiac enzymes test. As a result of the study, regional wall motion abnormality (RWMA) increased as the age of the study subjects increased. As a result of ROC analysis, RWMA showed a larger area under the curve (AUC) than cardiac enzymes. RWMA showed the highest accuracy with 81.1% of all cardiac enzymes. Among cardiac enzymes, cTnI showed the highest accuracy. Thus, It was confirmed that RWMA of echocardiography is more accurate than cardiac enzyme is in diagnosing ischemic heart disease.

Machine Learning-based Bedscore Stage Classification Algorithm (머신러닝 기반 욕창 단계 분류 알고리즘)

  • Cho, Young-bok;Yoo, Ha-na
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.326-327
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    • 2022
  • This study is an algorithm for clinical decision-making using machine learning, and it is an algorithm to classify pressure sores to be used in the development of a system to help prevent pressure sores when nursing staff care for patients who lie down for a long time. As a result of machine learning, the learning accuracy of the algorithm was 82.14% and the test accuracy was 82.58%.

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Comparative study in marginal accuracy of several all ceramic crowns (전부도재관의 변연 적합도 비교평가)

  • Kim, Jeong-Mi;Jeoung, Su-Ha
    • Journal of Technologic Dentistry
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    • v.30 no.2
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    • pp.87-92
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    • 2008
  • Purpose: In this study, we tried to compare marginal accuracy when produce ceramic crown using all ceramic materials and existent metal-ceramic system. Material and methods: All-ceramic systems were E-max (Ivoclar/Vivadent, Lichtenstein), Lava(3M, U.S.A.) and Wol-ceram(Teamziereis, Germany). Metal-ceramic system(PFG) was composed of Au-Pt alloy (Metalor, Switzerlandand) and overlying ceramic(D-sign, Ivoclar/Vivadent, Lichtenstein). We fabricated metal master die with upper diameter of 7.95mm, bottom diameter of 9.00mm, height of 5.00mm, and taper of $6^{\circ}$. All ceramic system used 0.5mm thickness ceramic coping, while metalceramic system used 0.3 thickness metal coping. By adding dentin and enamel ceramics on each coping, a crown with a proximal thickness of 1.0 mm and occlusal thickness of 2.0mm was fabricated. Pressure of 2kg was applied for 10 seconds on each crown with static load compressor. Before and after cementation, we measured the marginal gap at 4 points of each crown using optical microscope. The data was analyzed using a Student's t test and repeated-measures of analyses of variance(ANOVA) followed by a Bonferroni test. A p value<0.05 was considered significant. Results: As experiment results, marginal accuracy of wol-ceram and Lava is no good when compared with marginal accuracy of PFG. But marginal accuracy of E.max is good when compared with PFG. This result showed not significant. The marginal accuracy of E.max is good when compared with marginal accuracy of wol-ceram and Lava. Conclusion: The marginal accuracy of E.max is very good when compared with marginal accuracy of another group.

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Computerized bone age estimation system based on China-05 standard

  • Yin, Chuangao;Zhang, Miao;Wang, Chang;Lin, Huihui;Li, Gengwu;Zhu, Lichun;Fei, Weimin;Wang, Xiaoyu
    • Advances in nano research
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    • v.12 no.2
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    • pp.197-212
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    • 2022
  • The purpose of this study is to develop an automatic software system for bone age evaluation and to evaluate its accuracy in testing and feasibility in clinical practice. 20394 left-hand radiographs of healthy children (2-18 years old) were collected from China Skeletal Development Survey data of 1998 and China Skeletal Development Survey data of 2005. Three experienced radiologists and China-05 standard maker jointly evaluate the stages of bone development and the reference bone age was determined by consensus. 1020 from 20394 radiographs were picked randomly as test set and the remaining 19374 radiographs as training set and validation set. Accuracy of the automatic software system for bone age assessment is evaluated in test set and two clinical test sets. Compared with the reference standard, the automatic software system based on RUS-CHN for bone age assessment has a 0.04 years old mean difference, ±0.40 years old in 95% confidence interval by single reading, a 85.6% percentage agreement of ratings, a 93.7% bone age accuracy rate, 0.17 years old of MAD, 0.29 years old of RMS; Compared with the reference standard, the automatic software system based on TW3-C RUS has a 0.04 years old mean difference, a ±0.38 years old in 95% confidence interval by single reading, a 90.9% percentage agreement of ratings, a 93.2% bone age accuracy rate, a 0.16 years of MAD, and a 0.28 years of RMS. Automatic software system, AI-China-05 showed reliably accuracy in bone age estimation and steady determination in different clinical test sets.

Experimental Investigations of Accuracy Improvement in Wind Tunnel Testing Using Design of Experiments (실험설계법 기반 풍동실험 정밀도 향상 실험연구)

  • Oh, Se-Yoon;Park, Seung-O;Ahn, Seung-Ki
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.42 no.4
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    • pp.291-297
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    • 2014
  • A Design of Experiments(DOE) approach to an experimental study of fuselage drag and stability characteristics of a helicopter configuration was applied to achieve an accuracy improvement in the wind tunnel testing. The impact of blocking the test was assessed by comparing the ANOVA table for the blocked and unblocked cases. For a second-order response model, the role of blocking resulted in a substantial increase in the accuracy of test results. These accuracy improvement could be achieved through randomization, blocking, and replication of the data points i.e. a re-ordering of the test sequence where the data were acquired.

The Relation of Time Resolution and Radial Velocity Accuracy of a CW Doppler Radar (CW 도플러 레이더의 시각 분해능과 시선 속도 정확도의 관계)

  • Ryu, Chung-Ho;Jang, Yong-Sik;Choi, Ik-Hwan
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.23 no.7
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    • pp.815-821
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    • 2012
  • A CW Doppler radar can measure radial velocity of an object. It detects a Doppler frequency shift that is proportioned to radial velocity of a moving object. To detect a Doppler frequency shift, FFT(Fast Fourier Transform) is conducted. In this process, the time domain received signal is transformed to a frequency domain. A number of FFT affects not only the time resolution but also signal to noise ratio of received signal. So finally it is related with a radial velocity accuracy. Therefore in this paper, it is described the relation of time resolution and the radial velocity accuracy.

Investigating the Regression Analysis Results for Classification in Test Case Prioritization: A Replicated Study

  • Hasnain, Muhammad;Ghani, Imran;Pasha, Muhammad Fermi;Malik, Ishrat Hayat;Malik, Shahzad
    • International Journal of Internet, Broadcasting and Communication
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    • v.11 no.2
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    • pp.1-10
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    • 2019
  • Research classification of software modules was done to validate the approaches proposed for addressing limitations in existing classification approaches. The objective of this study was to replicate the experiments of a recently published research study and re-evaluate its results. The reason to repeat the experiment(s) and re-evaluate the results was to verify the approach to identify the faulty and non-faulty modules applied in the original study for the prioritization of test cases. As a methodology, we conducted this study to re-evaluate the results of the study. The results showed that binary logistic regression analysis remains helpful for researchers for predictions, as it provides an overall prediction of accuracy in percentage. Our study shows a prediction accuracy of 92.9% for the PureMVC Java open source program, while the original study showed an 82% prediction accuracy for the same Java program classes. It is believed by the authors that future research can refine the criteria used to classify classes of web systems written in various programming languages based on the results of this study.