• Structural Engineering and Mechanics
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• 제72권1호
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• pp.31-41
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• 2019

Structural integrity assessment of piping components is of paramount important for remaining life prediction, residual strength evaluation and for in-service inspection planning. For accurate prediction of these, a reliable fracture parameter is essential. One of the fracture parameters is stress intensity factor (SIF), which is generally preferred for high strength materials, can be evaluated by using linear elastic fracture mechanics principles. To employ available analytical and numerical procedures for fracture analysis of piping components, it takes considerable amount of time and effort. In view of this, an alternative approach to analytical and finite element analysis, a model based on relevance vector machine (RVM) is developed to predict SIF of part through crack of a piping component under fatigue loading. RVM is based on probabilistic approach and regression and it is established based on Bayesian formulation of a linear model with an appropriate prior that results in a sparse representation. Model for SIF prediction is developed by using MATLAB software wherein 70% of the data has been used for the development of RVM model and rest of the data is used for validation. The predicted SIF is found to be in good agreement with the corresponding analytical solution, and can be used for damage tolerant analysis of structural components.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권1호
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• pp.38-59
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• 2022

Web services instances can be classified into two categories, namely trusted and untrusted from users. A web service with high throughput (TP) and low response time (RT) instance values is a trusted web service. Web services are not trustworthy due to the mismatch in the guaranteed instance values and the actual values achieved by users. To perform web services selection from users' attained TP and RT values, we need to verify the correct prediction of trusted and untrusted instances from invoked web services. This accurate prediction of web services instances is used to perform the selection of web services. We propose to construct fuzzy rules to label web services instances correctly. This paper presents web services selection using a well-known machine learning algorithm, namely REPTree, for the correct prediction of trusted and untrusted instances. Performance comparison of REPTree with five machine learning models is conducted on web services datasets. We have performed experiments on web services datasets using a ten k-fold cross-validation method. To evaluate the performance of the REPTree classifier, we used accuracy metrics (Sensitivity and Specificity). Experimental results showed that web service (WS1) gained top selection score with the (47.0588%) trusted instances, and web service (WS2) was selected the least with (25.00%) trusted instances. Evaluation results of the proposed web services selection approach were found as (asymptotic sig. = 0.019), demonstrating the relationship between final selection and recommended trust score of web services.

• Journal of Electrical Engineering and information Science
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• 제2권6호
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• pp.116-122
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• 1997

The audible noise produced by corona discharge in high voltage transmission lines is the most important line design consideration. In this paper, more accurate and useful formulas for predicting the A-weighted audible noise during heavy and light rain in alternative current (AC) transmission lines are proposed through comparison with the existing formulas. The proposed formulas are developed by the applications of evolutionary computations (ECs) to audible noise data base from long-term measurement.

• 대한치과교정학회지
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• 제37권1호통권120호
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• pp.16-28
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• 2007

본 연구는 청소년의 교정 치료 시 중요한 교정 환자의 성장 평가 및 잔여 성장량 예측 방법을 개발하기 위하여 시행되었다. 이를 위하여 한국인의 전국적 표본 자료 중에서 $2\;{\sim}\;20$세 남자 4,893명, 여자 4,987명의 키 자료를 이용하여 성별 연령별 키에 대한 성장 곡선을 3차 스플라인 함수(NCSF)로 구현하였다. 이후 성장 예측 알고리즘을 개발하고 이를 임의로 선택된 200명의 종단 성장 자료를 이용하여 검증하였다. 검증에는 최종 키 예측 정확성과 검증 표본의 모든 연령에 대한 키 예측 오차 분석 및 NCSF 성장 곡선의 적합성 검사가 포함되었다. 그 결과 NCSF 성장 곡선은 기준 성장 곡선을 표현하는데 매우 적합한 것으로 나타났으며 최종 키 예측 정확성도 높았다. 또한 예측 정확성은 남자 보다 여자가 유의하게 높았다. 이러한 결과에도 불구하고 검증 표본의 모든 연령에 대한 키 예측 오차의 양상이 독립성과 정규성이 부족한 단점도 나타났다. 결론적으로 본 연구 결과 도출된 NCSF 성장 곡선을 이용한 성장 예측 방법의 높은 정확성에도 불구하고 개인의 종단 성장에 좀 더 적합한 성장 모형의 개발이 필요할 것으로 생각되었다.

• Asian-Australasian Journal of Animal Sciences
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• 제31권10호
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• pp.1670-1676
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• 2018

Objective: This study was conducted to enable on-line prediction of primal and commercial cut weights in Korean slaughter pigs by AutoFom III, which non-invasively scans pig carcasses early after slaughter using ultrasonic sensors. Methods: A total of 162 Landrace, Yorkshire, and Duroc (LYD) pigs and 154 LYD pigs representing the yearly Korean slaughter distribution were included in the calibration and validation dataset, respectively. Partial least squares (PLS) models were developed for prediction of the weight of deboned shoulder blade, shoulder picnic, belly, loin, and ham. In addition, AutoFom III's ability to predict the weight of the commercial cuts of spare rib, jowl, false lean, back rib, diaphragm, and tenderloin was investigated. Each cut was manually prepared by local butchers and then recorded. Results: The cross-validated prediction accuracy ($R^2cv$) of the calibration models for deboned shoulder blade, shoulder picnic, loin, belly, and ham ranged from 0.77 to 0.86. The $R^2cv$ for tenderloin, spare rib, diaphragm, false lean, jowl, and back rib ranged from 0.34 to 0.62. Because the $R^2cv$ of the latter commercial cuts were less than 0.65, AutoFom III was less accurate for the prediction of those cuts. The root mean squares error of cross validation calibration (RMSECV) model was comparable to the root mean squares error of prediction (RMSEP), although the RMSECV was numerically higher than RMSEP for the deboned shoulder blade and belly. Conclusion: AutoFom III predicts the weight of deboned shoulder blade, shoulder picnic, loin, belly, and ham with high accuracy, and is a suitable process analytical tool for sorting pork primals in Korea. However, AutoFom III's prediction of smaller commercial Korean cuts is less accurate, which may be attributed to the lack of anatomical reference points and the lack of a good correlation between the scanned area of the carcass and those traits.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제7권6호
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• pp.205-220
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• 2018

소프트웨어 결함 예측은 결함이 자주 발생하는 모듈에 집중함으로써 소프트웨어 품질 보증 활동에 귀중한 프로젝트 리소스를 효과적으로 할당하는 데 도움이 될 수 있다. 회사 내에서 수집 된 충분한 기록 데이터를 사용하여 정확한 결함 발생 가능성이 높은 모듈 예측에 대해 WPDP (프로젝트 내 결함 예측)를 사용할 수 있다. 회사가 과거 데이터를 유지하지 못한 경우 CPDP (Cross-Project Defect Prediction) 메커니즘을 기반으로 오류를 예측하는 분류기를 만드는 것이 도움이 될 수 있다. CPDP는 다른 조직에서 수집 한 다른 프로젝트 데이터를 사용하여 분류기를 작성하기 때문에 정확한 분류기를 만드는데 가장 큰 장애물은 소스와 대상 프로젝트 간의 서로 다른 분포이다. 이 문제의 해결을 위해 효과적인 유사도 측정 기술을 식별하는 것이 중요하므로, 본 논문에서는 다양한 유사도 측정 기술을 CPDP 모델에 적용하여 성능을 비교한다. 유사도 가중치의 유효성을 평가하고, 통계적 유의성 검정 및 효과 크기 검정을 통해 결과를 검증한다. 실험 결과, k-Nearest Neighbor (k-NN), LOcal Correlation Integral (LOCI) 및 Range 방법이 유사도 측정 기술 중 상위 3 개에 속했고, 이들을 사용하는 CPDP 예측 성능이 WPDP의 성능과 유사하였다.

• 인터넷정보학회논문지
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• 제2권1호
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• pp.23-30
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• 2001

ILP 프로세서는 고성능을 유지하기 위해 정확한 분기예상 방법을 요구한다. Two-Level 분기예상 방법은 높은 분기예상 정확성을 갖는 것으로 알려져 있다. 그러나, 한 분기 명령이 다른 분기 명령에 의해 갱신된 PHT 엔트리를 사용할 때 간섭이 발생하며, 간섭 중 부정적 간섭은 잘못된 예상(misprediction)을 유발하여 성능에 부정적 영향을 주게 된다. Agree분기예상 방법에서는 BTB에 bias 비트를 추가하여 부정적 간섭을 긍정적 간섭으로 변환하여 예상 정확도를 높였으나, bios 비트를 잘못 설정하는 경우에는 오히려 부정적 간섭이 증가하게 된다. 본 논문에서는 이러한 부정적 간섭을 감소시키는 새로운 동적 분기예상 방법을 제안한다. 제안한 분기예상 방법은 수행시간에 bias 비트를 동적으로 변경시키기 위해 BTB의 엔트리에 hit 비트를 추가하였다. 그 결과 부정적 간섭을 효과적으로 감소시켜 예상 정확도를 향상시켰다. 제안된 방법의 효율성을 보여주기 위해, SPEC92int 벤치마크를 사용하여 성능을 평가한 결과, 제안된 방법이 기존의 방법보다 성능이 우수함을 확인하였다.

• Asian-Australasian Journal of Animal Sciences
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• 제14권11호
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• pp.1511-1515
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• 2001

A prediction of 305 d milk production from early records using an empirical Bayes method (EBM) was performed. The EBM was compared with the best predicted estimation (BPE), test interval method (TIM), and the linearized Wood's model (LWM). Daily milk yields were obtained from 606 first lactation Japanese Holstein cows in three herds. From each file of 305 daily records, 10 random test day records with an interval of approximately one month were taken. The accuracies of these methods were compared using the absolute difference (AD) and the standard deviation (SD) of the differences between the actual and the estimated 305 d milk production. The results showed that in the early stage of the lactation, EBM was superior in obtaining the prediction with high accuracy. When all the herds were analyzed jointly, the AD during the first 5 test day records were on average 373, 590, 917 and 1,042 kg for EBM, BPE, TIM, and LWM, respectively. Corresponding SD for EBM, BPE, TIM, and LWM were on average 488, 733, 747 and 1,605 kg. When the herds were analyzed separately, the EBM predictions retained high accuracy. When more information on the actual lactation was added to the prediction, TIM and LWM gradually achieved better accuracies. Finally, in the last period of the lactation, the accuracy of both of the methods exceeded EBM and BPM. The AD for the last 2 samples analyzing all the herds jointly were on average 141, 142, 164, and 214 kg for LWM, TIM, EBM, and BPE, respectively. In the current practices of collecting monthly records, early prediction of future milk production may be more accurate using EBM. Alternatively, if enough information of the actual lactation is accumulated, TIM may obtain better accuracy in the latter stage of lactation.

• 대한원격탐사학회지
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• 제36권1호
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• pp.15-27
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• 2020

Accurate knowledge of land use/land cover (LULC) features and their relative changes over upon the time are essential for sustainable urban management. Urban sprawl growth has been always also a worldwide concern that needs to carefully monitor particularly in a developing country where unplanned building constriction has been expanding at a high rate. Recently, remotely sensed imageries with a very high spatial/spectral resolution and state of the art machine learning approaches sent the urban classification and growth monitoring to a higher level. In this research, we classified the Quickbird satellite imagery by object-based image analysis of Dempster-Shafer (OBIA-DS) for the years of 2002 and 2015 at Karbala-Iraq. The real LULC changes including, residential sprawl expansion, amongst these years, were identified via change detection procedure. In accordance with extracted features of LULC and detected trend of urban pattern, the future LULC dynamic was simulated by using land transformation model (LTM) in geospatial information system (GIS) platform. Both classification and prediction stages were successfully validated using ground control points (GCPs) through accuracy assessment metric of Kappa coefficient that indicated 0.87 and 0.91 for 2002 and 2015 classification as well as 0.79 for prediction part. Detail results revealed a substantial growth in building over fifteen years that mostly replaced by agriculture and orchard field. The prediction scenario of LULC sprawl development for 2030 revealed a substantial decline in green and agriculture land as well as an extensive increment in build-up area especially at the countryside of the city without following the residential pattern standard. The proposed method helps urban decision-makers to identify the detail temporal-spatial growth pattern of highly populated cities like Karbala. Additionally, the results of this study can be considered as a probable future map in order to design enough future social services and amenities for the local inhabitants.

• Structural Engineering and Mechanics
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• 제88권1호
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• pp.95-107
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• 2023

In this study, circular thin-walled reinforced high strength concrete-filled steel tube (RHSCFST) stub columns with various tube thicknesses (i.e., 1.8, 2.5 and 3.0mm) and reinforcement ratios (i.e., 0, 1.6%, 2.4% and 3.2%) were fabricated to explore the influence of these factors on the axial compressive behavior of RHSCFST. The obtained test results show that the failure mode of RHSCFST transforms from outward buckling and tearing failure to drum failure with the increasing tube thickness. With the tube thickness and reinforcement ratio increased, the ultimate load-carrying capacity, compressive stiffness and ductility of columns increased, while the lateral strain in the stirrup decreased. Comparisons were also made between test results and the existing codes such as AIJ (2008), BS5400 (2005), ACI (2019) and EC4 (2010). It has been found that the existing codes provide conservative predictions for the ultimate load-carrying capacity of RHSCFST. Therefore, an accurate model for the prediction of the ultimate load-carrying capacity of circular thin-walled RHSCFST considering the steel reinforcement is developed, based on the obtained experimental results. It has been found that the model proposed in this study provides more accurate predictions of the ultimate load-carrying capacity than that from existing design codes.