• Title/Summary/Keyword: set test

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Sample size determination for conducting a pilot study to assess reliability of a questionnaire

  • Mohamad Adam Bujang;Evi Diana Omar;Diana Hui Ping Foo ;Yoon Khee Hon
    • Restorative Dentistry and Endodontics
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    • v.49 no.1
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    • pp.3.1-3.8
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    • 2024
  • This article is a narrative review that discusses the recommended sample size requirements to design a pilot study to assess the reliability of a questionnaire. A list of various sample size tables that are based on the kappa agreement test, intra-class correlation test and Cronbach's alpha test has been compiled together. For all calculations, type I error (alpha) was set at a maximum value of 0.05, and power was set at a minimum value of 80.0%. For the kappa agreement test, intra-class correlation test, and Cronbach's alpha test, the recommended minimum sample size requirement based on the ideal effect sizes shall be at least 15, 22, and 24 subjects respectively. By making allowances for a non-response rate of 20.0%, a minimum sample size of 30 respondents will be sufficient to assess the reliability of the questionnaire. The clear guideline of minimum sample size requirement for the pilot study to assess the reliability of a questionnaire is discussed and this will ease researchers in preparation for the pilot study. This study provides justification for a minimum requirement of a sample size of 30 respondents specifically to test the reliability of a questionnaire.

Estimating pile setup parameter using XGBoost-based optimized models

  • Xigang Du;Ximeng Ma;Chenxi Dong;Mehrdad Sattari Nikkhoo
    • Geomechanics and Engineering
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    • v.36 no.3
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    • pp.259-276
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    • 2024
  • The undrained shear strength is widely acknowledged as a fundamental mechanical property of soil and is considered a critical engineering parameter. In recent years, researchers have employed various methodologies to evaluate the shear strength of soil under undrained conditions. These methods encompass both numerical analyses and empirical techniques, such as the cone penetration test (CPT), to gain insights into the properties and behavior of soil. However, several of these methods rely on correlation assumptions, which can lead to inconsistent accuracy and precision. The study involved the development of innovative methods using extreme gradient boosting (XGB) to predict the pile set-up component "A" based on two distinct data sets. The first data set includes average modified cone point bearing capacity (qt), average wall friction (fs), and effective vertical stress (σvo), while the second data set comprises plasticity index (PI), soil undrained shear cohesion (Su), and the over consolidation ratio (OCR). These data sets were utilized to develop XGBoost-based methods for predicting the pile set-up component "A". To optimize the internal hyperparameters of the XGBoost model, four optimization algorithms were employed: Particle Swarm Optimization (PSO), Social Spider Optimization (SSO), Arithmetic Optimization Algorithm (AOA), and Sine Cosine Optimization Algorithm (SCOA). The results from the first data set indicate that the XGBoost model optimized using the Arithmetic Optimization Algorithm (XGB - AOA) achieved the highest accuracy, with R2 values of 0.9962 for the training part and 0.9807 for the testing part. The performance of the developed models was further evaluated using the RMSE, MAE, and VAF indices. The results revealed that the XGBoost model optimized using XGBoost - AOA outperformed other models in terms of accuracy, with RMSE, MAE, and VAF values of 0.0078, 0.0015, and 99.6189 for the training part and 0.0141, 0.0112, and 98.0394 for the testing part, respectively. These findings suggest that XGBoost - AOA is the most accurate model for predicting the pile set-up component.

End-to-end Document Summarization using Copy Mechanism and Input Feeding (Copy Mechanism과 Input Feeding을 이용한 End-to-End 한국어 문서요약)

  • Choi, Kyoungho;Lee, Changki
    • 한국어정보학회:학술대회논문집
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    • 2016.10a
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    • pp.56-61
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    • 2016
  • 본 논문에서는 Sequence-to-sequence 모델을 생성요약의 방법으로 한국어 문서요약에 적용하였으며, copy mechanism과 input feeding을 적용한 RNN search 모델을 사용하여 시스템의 성능을 높였다. 인터넷 신문기사를 수집하여 구축한 한국어 문서요약 데이터 셋(train set 30291 문서, development set 3786 문서, test set 3705문서)으로 실험한 결과, input feeding과 copy mechanism을 포함한 모델이 형태소 기준으로 ROUGE-1 35.92, ROUGE-2 15.37, ROUGE-L 29.45로 가장 높은 성능을 보였다.

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Performance Improvement of Triangular-type V-belt Clutch (삼각벨트 클러치의 성능 향상에 관한 연구)

  • 신범수;김상헌;박희찬
    • Journal of Biosystems Engineering
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    • v.24 no.2
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    • pp.99-106
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    • 1999
  • This study was conducted to provide a direction for improving the performance of triangular-type belt clutch. The power transmission characteristics and the wear of belt were investigated for two types of pulley set theoretically and experimentally. The results of research were summarized as follows: 1) Based on the theoretical analysis for the life time of belt, the wear of belt could be reduced by increasing the sizes of driving V-pulley and tension pulley, and by decreasing the tension on V-belt. 2) The pulley set # 2 could transmit more power than the pulley set # 1 could at the same slop rate. While the slip rate was 2.36% on the pulley set # 2 at the maximum power transmission, the slip rate on the pulley set # 1 was increased up to 12.2% at the same condition. 3) From the 16 hours' fatigue test, the wear of belt used n the pulley set # 1 was observed severer than that in the pulley set#2. Also, it was found that the tensile strength of belt used in the pulley set # 2 was greater than that of belt used in the pulley set # 1.

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Changes in Total Work, Total Work Ratio, Heart Rate, and Blood Lactate during 75% 1-RM Bench Press Exercise

  • Kim, Ki Hong;Kim, Byung Kwan
    • Medical Lasers
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    • v.10 no.3
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    • pp.153-160
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    • 2021
  • Background and Objectives This study was conducted to investigate the change of total work and total work ratio for each set, peak heart rate during exercise, and blood lactate for each set during the 5-set bench press exercise at 75% one repetition maximum test (1-RM). Materials and Methods Seven men in their 20s with more than 6 months of experience doing resistance exercises were selected as subjects, and their 1-RM bench press was measured two weeks before the experiment and 75% 1-RM was measured one week before the experiment. In this study, total work was measured for each set, and heart rate was measured during rest and set-by-set exercise. Blood lactate was measured during rest time after each set. The raw data were analyzed by repeated one-way ANOVA. Results Total work and total work ratio decreased from 1 set to 4 sets (p < .05), p < .001), heart rate increased from stable at the start of exercise (p < .001) and decreased between 3 sets and 4 sets (p < .05). Blood lactate increased continuously up to 2 sets (p < .001, p < .01). Conclusion In conclusion, total work and heart rate decreased with muscle fatigue during exercise, and blood lactate continuously increased. The results of this study are expected to be useful references for constructing resistance exercise programs in the future.

Design Conformance Verification of Military FM Radio Set Automatic Test Equipment (군용 FM 무전기 세트 자동시험장비(ATE) 설계 적합성 검증)

  • Kim, Byung-Jun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.3
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    • pp.389-396
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    • 2020
  • In order to obtain a good quality product, a proper verification of production/test facilities must be preceded before the quality conformity inspection of the product. Among the various production/test facilities, ATE is widely used in the civilian industry such as the automotive industry, aerospace industry, semiconductor industry today. In addition, ATE is actively used in the defense industry production and performance tests. This paper is the result of systematically verifying the Design Conformance of ATS which is ATE of military FM radio set using various methods. And It is expected to be a good reference at the present time when the design conformity verification procedure for ATE for military supplies is not documented.

Characteristics of Uplift Resistance According to Shape Factor and Contact Area of Wooden Piles (나무말뚝 형상과 접촉면적에 따른 인발저항력 특성)

  • Song, Chang Seob;Kim, Myeong Hwan;Park, Oh Hyun;Woo, Jea Kuen;Kim, Gi Beom
    • Journal of The Korean Society of Agricultural Engineers
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    • v.63 no.3
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    • pp.27-33
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    • 2021
  • Reclaimed land was mainly used as agricultural land for rice production. As a higher value-added business in the agriculture has recently been activated, green houses are being constructed. In case of green house construction on the reclaimed land, it is generally soft ground with high soil water content, so it is important to design the foundation for greenhouse construction. The object of this study, a pull-out test was conducted to derive the base line data of the wooden pile foundation when constructing a green house. To reproduce the actual site, 30% of soil saturation and 70% of soil saturation were created in the soil box. Groove number and depth were set as design factors of the wooden pile, and a pull-out test was conducted. As a result of the test, pull resistance increased as the number of grooves increased, pull-out resistance according to groove depth was different according to soil saturation. Also, after the experiment, we want to compare the set-up effects over time.

Template Matching-Based Target Recognition Algorithm Development and Verification using SAR Images (SAR 영상을 이용한 템플릿 매칭 기반 자동식별 알고리즘 구현 및 성능시험)

  • Lim, Ho;Chae, Daeyoung;Yoo, Ji Hee;Kwon, Kyung-Il
    • Journal of the Korea Institute of Military Science and Technology
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    • v.17 no.3
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    • pp.364-377
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    • 2014
  • In this paper, we have developed a target recognition algorithm based on a template matching technique using Synthetic Aperture Radar (SAR) images. For efficient computations, Radon transform-based azimuth estimation algorithm was used with the template matching. MSTAR data set was divided into two groups according to the depression angles, which were a train set and a test set. Template data were generated by rotating and cropping chips which were from MSTAR train set using the azimuth estimation algorithm. Then the template matching process between test data and template data was performed under various conditions. Performance variation according to contrast enhancement preprocessing which is scarce in open literature was also presented. The analysis results show that the target recognition algorithm could be useful for the automatic target recognition using SAR images.

QSO Selections Using Time Variability and Machine Learning

  • Kim, Dae-Won;Protopapas, Pavlos;Byun, Yong-Ik;Alcock, Charles;Khardon, Roni
    • The Bulletin of The Korean Astronomical Society
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    • v.36 no.2
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    • pp.64-64
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    • 2011
  • We present a new quasi-stellar object (QSO) selection algorithm using a Support Vector Machine, a supervised classification method, on a set of extracted time series features including period, amplitude, color, and autocorrelation value. We train a model that separates QSOs from variable stars, non-variable stars, and microlensing events using 58 known QSOs, 1629 variable stars, and 4288 non-variables in the MAssive Compact Halo Object (MACHO) database as a training set. To estimate the efficiency and the accuracy of the model, we perform a cross-validation test using the training set. The test shows that the model correctly identifies ~80% of known QSOs with a 25% false-positive rate. The majority of the false positives are Be stars. We applied the trained model to the MACHO Large Magellanic Cloud (LMC) data set, which consists of 40 million lightcurves, and found 1620 QSO candidates. During the selection, none of the 33,242 known MACHO variables were misclassified as QSO candidates. In order to estimate the true false-positive rate, we crossmatched the candidates with astronomical catalogs including the Spitzer Surveying the Agents of a Galaxy's Evolution (SAGE) LMC catalog and a few X-ray catalogs. The results further suggest that the majority of the candidates, more than 70%, are QSOs.

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Establishment of reverse transcription polymerase chain reaction for detection of Getah virus infection in livestock

  • Lee, Seung Heon;Yang, Dong-Kun;Kim, Ha-Hyun;Choi, Sung-Suk;Cho, In-Soo
    • Korean Journal of Veterinary Research
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    • v.57 no.1
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    • pp.37-42
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    • 2017
  • Getah virus (GETV) infection causes sporadic outbreaks of mild febrile illness in horses and reproductive failure in pigs. In this study, we established a reverse transcription polymerase chain reaction (RT-PCR) method to detect GETV from suspected virus-infected samples. The reaction conditions were optimized and validated by using RNA extracted from GETV propagated in cell culture. A GETV-specific GED4 primer set was designed and used to amplify a 177 bp DNA fragment from a highly conserved region of the E1 glycoprotein gene in the GETV genome. RT-PCR performed with this primer set revealed high sensitivity and specificity. In the sensitivity test, the GED4 primer set detected GETV RNA at the level of $10^{2.0}\;TCID_{50}/mL$. In the specificity test, the GED4 primer set amplified only a single band of PCR product on the GETV RNA template, without non-specific amplification, and exhibited no cross-reactivity with other viral RNAs. These results suggest that this newly established RT-PCR method is useful for accurate identification of GETV infection in animals.