• Title/Summary/Keyword: Regress

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A Study on Quantifier Raising. (양화사 인상 : ACD 구문을 중심으로)

  • 곽희신
    • Korean Journal of English Language and Linguistics
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    • v.2 no.4
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    • pp.471-494
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    • 2002
  • May(1985) argued that the regress problem of antecedent-contained deletion (ACD) construction could be resolved easily by positing QR. But the proposal has some conceptual and empirical problems. To resolve the problems of QR account on ACD, Hornstein(1994) suggested a new approach viz. LF A-movement approach. In the Minimalist framework, an object raises to the [Spec, Agro] to check the accusative case. Through this movement, the regress problem can be resolved naturally without QR. But the LF A-movement account has the same conceptual problem as the QR approach. In addition to the conceptual problem, it has also empirical problems which were pointed out by Kennedy(1997). To solve the problems, I propose that the object raise to [Spec Agro] overtly as Koizumi(1993, 1995) and Lasnik(1995) insisted. In addition to the proposal, I adopt another assumption that only the copy of a quantifier could become a variable by the vehicle change, which was suggested by Brody(1995). With the above proposals, the unnatural QR operation could be dispensed with and the conceptual and empirical problems which were made concerning the LF A-movement approach could be resolved.

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Continuous Blood Pressure Prediction Using PTT During Exercise (PTT를 이용한 자전거 운동 중 지속적인 혈압의 예측)

  • Kim, Chul-Seung;Moon, Ki-Wook;Kwon, Jung-Hoon;Eom, Gwang-Moon
    • Journal of Biomedical Engineering Research
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    • v.27 no.6
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    • pp.370-375
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    • 2006
  • The purpose of this work is to predict the systolic blood pressure (BP) during exercise from pulse transit time (PTT) for warning of possible danger. PTT was calculated as the time between R-peak of ECG and the peak of differential photoplethysmograph (PPG). For the PTT-BP model, we used regress equations from previous studies and 3 kinds of new models combining linear and nonlinear regress equation. The model parameters were estimated with the data measured under low to middle intensity exercise, and then was tested with the data measured under high intensity exercise. Predicted BP values after high intensity exercise were compared with those measured by cuff-type sphygmomanometer. The results showed that the error between measured and predicted values were acceptable for the monitoring BP. We tested PTT-BP models 1 month after the identification without further calibration. Models could predict the BP and the errors between measured and predicted BP were about 5mmHg. The suggested system is expected to be helpful in recognizing any danger during exercise.

Influence of Structural Parameters on the Dowel Action of Reinforcing Bar in Reinforced High Strength concrete Members (고강도 철근콘크리트 부재에서 철근의 장부작용에 대한 구조변수의 영향)

  • 최도수;신장호;김상식
    • Proceedings of the Korea Concrete Institute Conference
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    • 1994.10a
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    • pp.350-355
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    • 1994
  • This study is aimed at the experimental investigation of the influence of the structural parameters such as concrete cover, width of specimen and bar size on the dowel action of reinforcing bari in high strength concrete members. Based on the proper combination of these parameter, a total of 46 specimens has been cast for fc'= 500 ㎏/㎠ and another 46 specimens for fc'= 700 ㎏/㎠, and cured at the laboratory. Comparative analyses have been made for the parametric contribution to the dowel strength from the test results, and a regress equation has been suggested.

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Patent ductus arteriosus associated with mitral regurgitation (승모판막 폐쇄부전증이 동반된 개방성 동맥관의 치험 10예)

  • 이철주
    • Journal of Chest Surgery
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    • v.15 no.3
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    • pp.321-324
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    • 1982
  • Patent ductus arteriosus is not uncommon congenital heart disease. Patent ductus arteriosus associated with mitral regurgitation is very rare, however especially nonrheumatic in character. In such a case, a ligation of ductus arteriosus alone makes it regress the symptoms and signs of mitral regurgitation. Till recent days, we have experienced 10 cases of patent ductus arteriosus with mitral regurgitation who had been undergone a ligation of ductus arteriosus alone with good clinical benefits. In 5 cases among above patients, we have followed up the patients from 4 months to 6 years. Herewith, we report these cases with review of some literatures.

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Rapid Growing Fungal Ball after Resection of Cardiac Rhabdomyoma (심장 횡문근종 절제 후 급속히 성장한 진균성 증식조직)

  • 박한기;박영환
    • Journal of Chest Surgery
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    • v.29 no.6
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    • pp.655-659
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    • 1996
  • Primary cardiac tumors are known to be rare. Of the benign primary tumors, rhabdomyoma predominates in neonates and infants. Tuberous sclerosis is found in hall of the patients with rhabdomyomas. Rhabdomyomas demonstrate benign pathological characteristics and may regress spontaneously that resection of the intracavitary obstructing portion of these tumors are recommended. We performed resection of intraatrial rhabdomyoma which had been obstructing mitral valve orifice and caused heart failure in a neonate. Postoperatively, fungal endocarditis developed and after 3 days, rapid growth and extension of the vegetation in the aorta obstructed the flow through the ascending aorta and resulted in hemodynamic deterioration.

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A study on the multivariate sliced inverse regression (다변량 분할 역회귀모형에 관한 연구)

  • 이용구;이덕기
    • The Korean Journal of Applied Statistics
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    • v.10 no.2
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    • pp.293-308
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    • 1997
  • Sliced inverse regression is a method for reducing the dimension of the explanatory variable X without going through any parametric or nonparametric model fitting process. This method explores the simplicity of the inverse view of regression; that is, instead of regressing the univariate output varable y against the multivariate X, we regress X against y. In this article, we propose bivariate sliced inverse regression, whose method regress the multivariate X against the bivariate output variables $y_1, Y_2$. Bivariate sliced inverse regression estimates the e.d.r. directions of satisfying two generalized regression model simultaneously. For the application of bivariate sliced inverse regression, we decompose the output variable y into two variables, one variable y gained by projecting the output variable y onto the column space of X and the other variable r through projecting the output variable y onto the space orthogonal to the column space of X, respectively and then estimate the e.d.r. directions of the generalized regression model by utilize two variables simultaneously. As a result, bivariate sliced inverse regression of considering the variable y and r simultaneously estimates the e.d.r. directions efficiently and steadily when the regression model is linear, quadratic and nonlinear, respectively.

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Long-term Changes of Shoreline at the East Coast in South Korea 2 - South East Coast (우리나라 동해안 해안선의 장기적 변화 2 -남부 동해안)

  • Kim, Dae Sik
    • Journal of The Geomorphological Association of Korea
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    • v.20 no.3
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    • pp.27-39
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    • 2013
  • This study grasped long-term changing tendency of shoreline during lately about 30 years in five region of South East coast, and analyzed long-term changing tendency of East coast shoreline and the factors that synthesized studies of Central and South East coast. As a result of calculating of shoreline variations using DSAS, each shoreline of Mangyangjeong and Josa region regressed mean 28.9m and 6.4m, but each shoreline of Goraebul, Daejin and Bonggil region progressed mean 25.0m, 10.6m and 18.8m. Synthesizing changing tendency of East coast shoreline, 1) progressive and regressive zones of shoreline in all regions seem to repeat. 2) looking at shoreline of south zone adjacent to lately constructed or extended breakwater progressed, because it is thought due to effect of a longshore current flowing north. 3) zones using beach relatively tends to regress shorelines. 4) progress and regress of shoreline in zones including estuary of stream are various features as change of deposit supply from a upstream region.

A Study on the Use of Machine Learning Models in Bridge on Slab Thickness Prediction (머신러닝 기법을 활용한 교량데이터 설계 시 슬래브두께 예측에 관한 연구)

  • Chul-Seung Hong;Hyo-Kwan Kim;Se-Hee Lee
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.5
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    • pp.325-330
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    • 2023
  • This paper proposes to apply machine learning to the process of predicting the slab thickness based on the structural analysis results or experience and subjectivity of engineers in the design of bridge data construction to enable digital-based decision-making. This study aims to build a reliable design environment by utilizing machine learning techniques to provide guide values to engineers in addition to structural analysis for slab thickness selection. Based on girder bridges, which account for the largest proportion of bridge data, a prediction model process for predicting slab thickness among superstructures was defined. Various machine learning models (Linear Regress, Decision Tree, Random Forest, and Muliti-layer Perceptron) were competed for each process to produce the prediction value for each process, and the optimal model was derived. Through this study, the applicability of machine learning techniques was confirmed in areas where slab thickness was predicted only through existing structural analysis, and an accuracy of 95.4% was also obtained. models can be utilized in a more reliable construction environment if the accuracy of the prediction model is improved by expanding the process

Technical Change of World Industry: a Malmquist Index Approach (Malmquist지수에 의한 세계 철강산업의 기술변화)

  • 김진한;정기대
    • Journal of Korea Technology Innovation Society
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    • v.4 no.3
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    • pp.369-382
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    • 2001
  • In this research, the world top steel companies' technical changes were measured by the nonparametric Malmquist index. Steel industry's production frontier which was composed of multiple inputs and multiple outputs was defined by using real data of the companies from 1986 to 1998, and then the variability of technical progress(or regress) was analyzed during that period. The dynamics of individual steel companies\` technical changes, periodical technical changes, and each country's technical chanties were explained. A matrix which was based on technical chanties, technical efficiency changes, and scale efficiency changes was designed to assist to find out current position and In build up future strategies. This research results will be an valuable input to the early stage of formulating competitive strategy because the technical core capability is an important source of the each companies's competitiveness.

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The Effect of Public Report on Antibiotics Prescribing Rate (급성상기도감염 항생제 처방률 공개 효과 분석)

  • Kim, Su-Kyeong;Kim, Hee-Eun;Back, Mi-Sook;Lee, Suk-Hyang
    • Korean Journal of Clinical Pharmacy
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    • v.20 no.3
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    • pp.242-247
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    • 2010
  • Controlling inappropriate antibiotics prescribing for acute upper respiratory infections(URI) is a very important for prudent use of antibiotics and resistance control. Health Insurance Review and Assessment Service (HIRA) introduced Prescribing Evaluation Program and publicly reported antibiotics prescribing rate for URI of each health institution. We performed segmented regression analysis of interrupted time series to estimate the effect of public report on antibiotics prescribing rate using national health insurance claims data. The results indicate that just before the public report period, clinics' monthly antibiotics prescribing rate for URI was 66.7%. Right after the public report, the estimated antibiotics prescribing rate dropped abruptly by 12.3%p. There was no significant changes in month-to-month trend in the prescribing rate before and after the intervention.