• 대한두경부종양학회지
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• 제8권1호
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• pp.31-36
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• 1992

Neck mass is common neoplasms, but it poses a diagnostic dilemma for the physician. The differential diagnosis include neoplastic, inflammatory and developmental causes. The FNAC is one of the most valuable tests in the initial assessment and differential diagnosis of the neck mass. FNAC was performed with 267 cases of the neck mass, during the period from April, 1988 to October, 1990 at the department of General Surgery, Soon Chun Hyang. University Hospital. Thyroid lesions were excluded from this analysis. Final diagnosis was based on resection histology in 58 cases, and surgical specimens were compared with FNAC. The following results were obtoired ; 1) Of 267 cases, there we re 9 cases(3.4%) of congenital lesion, 74 cases(27.7%) of inflammatory lesion, 40 cases(15.0%) of benign tumor, 12 cases(4.5%) of primary malignant tumor, 37 cases(13.8%) of metastatic tumor, 75cases(28.1%) of reactive hyperplasia, 20 cases(7.5%) of unsatisfactory. In the pathologic classification, inflammatory lesion was the most common. 2) In the 58 cases of excisional biopsy, sensitivity 93.8%, specificity 95.2%, false positive 11.8%, false negative 2.4%, positive predictive value 88.2%, negative predictive value 97.6%, accuracy 94.8%. 3) The most common disease was the tuberculous lymphadenitis (53 cases, 19.8%). sensitivity 57.9%, specificity 100.0%, false positive 0.0%, false negative 17.0%, positive predictive value 100.0%, negative predictive value 83.0%, accuracy 86.2%.

• 대한수의학회지
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• 제36권4호
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• pp.941-948
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• 1996

The accuracy of rectal palpation and ultrasonography for predicting the presence of a functional corpus luteum in subestrous dairy cows was investigated, using the result of a radioimmunoassay for progesterone in plasma. Luteal status (high or low progesterone concentrations) was diagnosed in 820 cows, using rectal palpation and B-mode transrectal ultrasonography, and the results of rectal palpation and ultrasonography were compared in $2{\times}2$ contingency table with plasma progesterone concentrations. A $2{\times}2$ contingency table analysis allowed the calculation of sensitivity, specificity and predictive values for rectal palpation and ultrasonography. The sensitivity, specificity, predictive value of a positive test and predictive value of a negative test were 81.9%, 67.5%, 79.0% and 71.4% for rectal palpation, and 96.3%, 88.8%, 94.5% and 92.4% for ultrasonography, respectively. The percentages of observed agreement and expected agreement between rectal palpation and ultrasonography were 71.8% and 57.1%, respectively. An evaluation of agreement between rectal palpation and ultrasonography, the value of Kappa was 0.34. It was concluded that a ultrasonography was more sensitive and specific than rectal palpation in predicting the presence of a functional corpus luteum. Therefore, ultrasonographic examination is a reliable method for assessing the functional status of ovarian structures in subestrous dairy cows.

• 한국지형학회지
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• 제24권3호
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• pp.105-118
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• 2017

The debris slope landforms which are existent in Korean mountains is generally on the steep slopes and mostly covered by vegetation, it is difficult to investigate the landform. Therefore a scientific method is required to come up with an effective field investigation plan. For this purpose, the use of Remote Sensing and GIS technologies for a spatial analysis is essential. This study has extracted the potential area of debrisslope landform formation using Fuzzy set and Bayesian Predictive Discriminate Model as mathematical data integration methods. The first step was to obtain information about debris locations and their related factors. This information was verified through field investigation and then used to build a database. In the second step, the map that zoning the study area based on the degree of debris formation possibility was generated using two modeling methods, and then cross validation technique was applied. In order to quantitatively analyze the accuracy of two modeling methods, the calculated potential rate of debrisformation within the study area was evaluated by plotting SRC(Success Rate Curve) and calculating AUC(Area Under the Curve). As a result, the prediction accuracy of Fuzzy set model wes 83.1% and Bayesian Predictive Discriminate Model wes 84.9%. It showed that two models are accurate and reliable and can contribute to efficient field investigation and debris landform management.

• 대한통합의학회지
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• 제10권3호
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• pp.107-117
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• 2022

Purpose : The purpose of this study was to establish a model of the predictive factors for success or failure of examinees undertaking the Korean physical therapist licensing examination (KPTLE). Additionally, we assessed the pass/fail cut-off point. Methods : We analyzed the results of 10,881 examinees who undertook the KPTLE, using data provided by the Korea Health Personnel Licensing Examination Institute. The target variable was the test result (pass or fail), and the input variables were: sex, age, test subject, and total score. Frequency analysis, chi-square test, descriptive statistics, independent t-test, correlation analysis, binary logistic regression, and receiver operating characteristic (ROC) curve analyses were performed on the data. Results : Sex and age were not significant predictors of attaining a pass (p>.05). The test subjects with the highest probability of passing were, in order, medical regulation (MR) (Odds ratio (OR)=2.91, p<.001), foundations of physical therapy (FPT) (OR=2.86, p<.001), diagnosis and evaluation for physical therapy (DEPT) (OR=2.74, p<.001), physical therapy intervention (PTI) (OR=2.66, p<.001), and practical examination (PE) (OR=1.24, p<.001). The cut-off points for each subject were: FPT, 32.50; DEPT, 29.50; PTI, 44.50; MR, 14.50; and PE, 50.50. The total score (TS) was 164.50. The sensitivity, specificity, and the classification accuracy of the prediction model was 99 %, 98 %, and 99 %, respectively, indicating high accuracy. Area under the curve (AUC) values for each subject were: FPT, .958; DEPT, .968; PTI, .984; MR, .885; PE, .962; and TS, .998, indicating a high degree of fit. Conclusion : In our study, the predictive factors for passing KPTLE were identified, and the optimal cut-off point was calculated for each subject. Logistic regression was adequate to explain the predictive model. These results will provide universities and examinees with useful information for predicting their success or failure in the KPTLE.

• 한국항해항만학회지
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• 제48권1호
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• pp.27-33
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• 2024

코로나 팬데믹 이후 컨테이너 터미널 내 혼잡도 증가에 따라 반출입 차량 작업 대기 및 체류시간이 급증하여 반출입 작업 비효율이 극심한 실정이다. 이에 항만 당국은 반출입예약시스템(Vehicle Booking System; VBS)을 구축하여 시범운영 중에 있으나 이해관계자 간 정보공유 문제 및 컨테이너 운송 주체의 미온적 참여 등으로 인해 개선효과가 뚜렷하지 않다. 따라서 본 연구에서는 반출입 차량의 작업 대기 및 체류시간 문제의 해결을 위한 기초자료로써, 딥러닝 기반의 반출입 차량 체류시간 예측 모형을 제시하였다. 실제 컨테이너 터미널의 반출입 운영 데이터를 통해 제시한 예측 모형을 실험하고 실제 데이터와 비교하여 예측 정확도를 검증한 결과 제시한 예측 모형이 높은 예측 정확도를 보이는 것을 확인하였다.

• 대한산업공학회지
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• 제34권2호
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• pp.160-171
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• 2008

MU's mobility patterns can be found from a movement history data. The prediction accuracy and model complexity depend on the degree of application of history data. The more data we use, the more accurate the prediction is. As a result, the location management cost is reduced, but complexity of the model increases. In this paper, we classify MU's mobility patterns into four types. For each type, we find the respective optimal number of application of history data, and predictive location area by using the simulation. The optimal numbers of four types are shown to be different. When we use more than three application of history data, the simulation time and data storage are shown to increase very steeply.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2007년도 추계학술대회 및 정기총회
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• pp.388-394
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• 2007

In wireless network, we propose a predictive location update scheme which considers mobile user's(MU's) mobility patterns. MU's mobility patterns can be found from a movement history data. The prediction accuracy and model complexity depend on the degree of application of history data. The more data we use, the more accurate the prediction is. As a result, the location management cost is reduced, but complexity of the model increases. In this paper, we classify MU's mobility patterns into four types. For each type, we find the respective optimal number of application of history data, and predictive location area by using the simulation. The optimal numbers of four types are shown to be different. When we use more than three application of history data, the simulation time and data storage are shown to increase very steeply.

• 복합신소재구조학회 논문집
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• 제5권4호
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• pp.11-17
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• 2014

A progressive failure analysis procedure for composite laminates is completed in here. An anisotropic plastic constitutive model for fiber-reinforced composite material is implemented into computer program for a predictive analysis procedure of composite laminates. Also, in order to describe material behavior beyond the initial yield, the anisotropic work-hardening model and subsequent yield surface are implemented into a computer code, which is Predictive Analysis for Composite Structures (PACS). The accuracy and efficiency of the anisotropic plastic constitutive model and the computer program PACS are verified by solving a number of various fiber-reinforced composite laminates with and without geometric discontinuity. The comparisons of the numerical results to the experimental and other numerical results available in the literature indicate the validity and efficiency of the developed model.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 하계학술대회 논문집 B
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• pp.1220-1222
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• 2004

In this paper, we propose a new discrete-time predictive current controller for a PM-LSM(permanent magnet linear synchronous motor). The main objectives of the current controllers are to ensure that the measured stator currents tract the command values accurately and to shorten the transient interval as much as possible, in order to obtain high-performance of ac drive system. A new control strategy is seen the scheme that gets the fast adaptation of transient current change, the fast transient response tracking and is proposed simplified calculation. Moreover, the simulation results will be verified the improvements of predictive controller and accuracy of the current controller.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2015년도 전력전자학술대회 논문집
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• pp.522-523
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• 2015

This paper proposes a deadbeat current controller using predictive current method for three-phase shunt active power filter (SAPF). In proposed controller, the compensating current reference which is necessary for the deadbeat control is estimated by using the predictive current method. This method can improve the accuracy of compensation and ensure the fast dynamic response of SAPF. Simulations have been carried out to demonstrate the perfomance of SAPF using proposed control method.