• 제목/요약/키워드: empirical modeling

검색결과 965건 처리시간 0.036초

An Economic Modeling Study of Helicobacter pylori Eradication: Comparison of Dual Priming Oligonucleotide-Based Multiplex Polymerase Chain Reaction and Empirical Treatment

  • Gweon, Tae-Geun;Kim, Joon Sung;Kim, Byung-Wook
    • Gut and Liver
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    • 제12권6호
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    • pp.648-654
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    • 2018
  • Background/Aims: Dual priming oligonucleotide-based multiplex polymerase chain reaction (DPO-based PCR) can detect the presence of clarithromycin resistance without culture. The aim of this study was to investigate the cost-effectiveness of DPO-based PCR for Helicobacter pylori eradication. Methods: From 2015 to 2016, medical records of patients who received H. pylori eradication therapy were analyzed. Patients were divided into two groups: tailored group patients who were treated based on DPO-based PCR and empirical group patients. Eradication rate and medical cost, including diagnostic tests, eradication regimens, and $^{13}C$-urea breath tests, were compared between the two groups. Cost for one successful eradication was calculated in each group. The expected cost of eradication for empirical treatment was investigated by varying the treatment duration and eradication rate. Results: A total of 527 patients were analyzed (tailored group 208, empirical group 319). The eradication success rate of the first-line therapy was higher in the tailored group compared to that in the empirical group (91.8% vs 72.1%, p<0.01). The total medical cost for each group was $114.8{\pm}14.1U.S.$ dollars (USD) and $85.8{\pm}24.4USD$, respectively (p<0.01). The total medical costs for each ultimately successful eradication in the tailored group and in the empirical group were 120.0 USD and 92.4 USD, respectively. The economic modeling expected cost of a successful eradication after a 7- or 14-day empirical treatment was 93.8 to 111.4 USD and 126.3 to 149.9 USD, respectively. Conclusions: Based on economic modeling, the cost for a successful eradication using DPO-based PCR would be similar or superior to the expected cost of a successful eradication with a 14-day empirical treatment when the first-line eradication rate is ${\leq}80%$.

Three Reasons We May Shun the Research Practice That Employs Formative Measurement in the Endogenous Position

  • Kim, Gimun;Shin, Bongsik;Kim, Kijoo
    • Journal of Information Technology Applications and Management
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    • 제20권3호
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    • pp.129-141
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    • 2013
  • When the formative construct is placed in the endogenous position, there are clear theoretical, mathematical, and empirical issues in model estimation. Nonetheless, scholars who have adopted structural equation modeling for empirical research and those who are engaged in debates on the viability of formative modeling fail to recognize the fundamental problems of employing formative measurement in the endogenous position. This manuscript is intended to set a corrective path by discussing three reasons why this frequented practice may be avoided in both theoretical and empirical research.

Case Analysis of Modeling Lessons

  • Noh, Jihwa
    • East Asian mathematical journal
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    • 제35권2호
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    • pp.217-237
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    • 2019
  • This Modeling is a cyclical process of creating and modifying models of empirical situations to understand them better and improve decisions. The role of modeling and teaching mathematical modeling in school mathematics has received increasing attention as generating authentic learning and revealing the ways of thinking that produced it. In this paper and interactive lecture session, we will review a subset of the related literature, discuss benefits and challenges in teaching and learning mathematical modeling, and share our attempts to improve traditional textbook problems so that they can become more authentic modeling activities and implications for instruction and assessment as well as for research.

Development and Estimation of a Burden Distribution Index for Monitoring a Blast Furnace Condition

  • Chu, Young-Hwan;Choi, Tai-Hwa;Han, Chong-Hun
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.1830-1835
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    • 2003
  • A novel index representing burden distribution form in the blast furnace is developed and index estimation model is built with an empirical modeling method to monitor inner condition of the furnace without expensive sensors. To find the best combination of index and modeling method, two candidates for the index and four modeling methods have been examined. Results have shown that 3-D index have more resolution in describing the distribution form than 1-D index and ANN model produces smallest RMSE due to nonlinearity between the indices and charging mode. Although ANN has shown the best prediction accuracy in this study, PLS can be a good alternative due to its advantages in generalization capability, consistency, simplicity and training time. The second best result of PLS in the prediction results supports this fact.

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다중 프로세서에서의 캐시접근 실패율을 위한 경험적 모델링 (Empirical Modeling for Cache Miss Rates in Multiprocessors)

  • 이강우;양기주;박춘식
    • 한국정보과학회논문지:시스템및이론
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    • 제33권1_2호
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    • pp.15-34
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    • 2006
  • 본 논문에서는, 소규모 시뮬레이션을 통하여 수집된 표본에 통계적인 추정방법을 적용하여 모델을 구하는 경험적 모델링 기법을 제안한다. 이 기법을 이용하여 대칭형 구조를 갖는 다중프로세서 시스템에서의 캐시접근실패율을 위한 두 종류의 모델을 구하였다. 목표시스템의 사양이 고정되었을 때 입력데이타의 크기변화에 따르는 모델과, 입력데이타의 크기가 고정되었을 때 목표시스템의 프로세서 수의 변화에 따르는 모델이다. 모델의 정확성을 제고하기 위하여 한 프로그램에 존재하는 공유데이타들에 대하여 종류별 캐시접근실패에 대한 개별적인 모델들을 구한 후 이들을 종합함으로써 최종적인 모델을 구하였다. 또한 최소 제곱 추정법과 로버스트 추정법을 병용하여 이탈점으로 인한 왜곡을 최소화함으로써 모델의 정확도를 향상시켰다. 경험적 모델링은 표본에 대한 분석이 필요 없으면서도 모델의 정확도가 매우 높다. 또한 소규모의 시뮬레이션만 수행하면 되고, 실험을 통하여 일련의 표본을 수집할 수만 있으면 모든 분야의 연구에 적용할 수 있다. 경험적 모델을 이용한 24가지 경우의 예측시도 중 17번의 경우에는 $1\%$ 미만의 예측오차율을 보였으며, 나머지 경우에도 매우 높은 정확도를 보였다. 특히 프로그램의 실행양식이 불규칙하거나, 표본의 수가 충분하기에는 부족한 경우에도 좋은 결과를 보여준다.

Empirical Modeling of Fouling Rate of Milk Pasteurization Process : A case study

  • Budiati, Titik;Wahyono, Nanang Dwi;Hefni, Muh.
    • International journal of advanced smart convergence
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    • 제4권1호
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    • pp.11-17
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    • 2015
  • Fouling in heat exchanger becomes a major problem of dairy industry and it increases the production cost. These are lost productivity, additional energy, additional equipment, chemical, manpower, and environmental impact. Fouling also introduces the risk of food safety due to the improper heating temperature which allow the survival of pathogenic bacteria in milk, introducing biofilm formation of pathogenic bacteria in equipments and spreading the pathogenic bacteria to milk. The aim of this study is to determine the fouling rate during pasteurization process in heat exchanger of pasteurized milk produced by Village Cooperative Society (KUD) "X" in Malang, East Java Indonesia by using empirical modeling. The fouling rate is found as $0.3945^{\circ}C/h$ with the heating process time ranged from 0 to 2 hours and temperature difference (hot water inlet temperature and milk outlet temperature) ranged from 0.654 to $1.636^{\circ}C$. The fouling rate depends on type and characteristics of heat exchangers, time and temperature of process, milk type, age of milk, seasonal variations, the presence of microorganism and more. This results will be used to plan Cleaning In Place (CIP) and to design the control system of pasteurization process in order to maintain the milk outlet temperature as standard of pasteurization.

액체 추진제 공급시스템의 정특성 모델링 및 검증 (Modeling and Validation of a Liquid Propellant Supply System in Steady States)

  • 이주연;기원근;허환일;노태성;이형진
    • 한국추진공학회지
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    • 제24권6호
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    • pp.143-154
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    • 2020
  • 액체로켓엔진의 추진제 공급시스템의 각 요소와 전체 시스템에 대한 보편적 모델에 실험계수를 적용한 수학적 모델링 기법을 소형 액체로켓엔진을 모사한 수류 시험 장치를 통한 실험 결과로부터 검증하였다. 유체저항요소와 펌프의 압력 변화에 대한 예측을 수행하였으며 예측 정확도 향상을 위해 구성요소 모델링에 대하여 실험계수를 적용하였다. 이를 위해 각 구성요소에 대해 유동의 지배방정식이나 이미 알려진 경험식을 기반으로 실험계수의 도출 방안에 대하여 정리하였으며 사용한 상용품의 실험계수를 제시하였다. 모델링을 통한 예측 결과는 실험 데이터와 비교적 잘 일치하였다. 실험데이터와의 검증을 통해 시뮬레이션의 정확도에 영향을 미치는 인자에 대해 분석하고 시스템 해석의 정확도 향상 방안에 대하여 제안하였다.

Empirical Modeling of Steering System for Autonomous Vehicles

  • Kim, Ju-Young;Min, Kyungdeuk;Kim, Young Chol
    • Journal of Electrical Engineering and Technology
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    • 제12권2호
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    • pp.937-943
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    • 2017
  • To design an automatic steering controller with high performance for autonomous vehicle, it is necessary to have a precise model of the lateral dynamics with respect to the steering command input. This paper presents an empirical modeling of the steering system for an autonomous vehicle. The steering system here is represented by three individual transfer function models: a steering wheel actuator model from the steering command input to the steering angle of the shaft, a dynamic model between the steering angle and the yaw rate of the vehicle, and a dynamic model between the steering command and the lateral deviation of vehicle. These models are identified using frequency response data. Experiments were performed using a real vehicle. It is shown that the resulting identified models have been well fitted to the experimental data.

초등학생의 계절 변화 원인에 관한 지구본 활용 모델링 분석 (Analysis of Elementary Students Modeling Using the Globe on the Cause of Seasonal Change)

  • 석윤수;윤혜경
    • 한국초등과학교육학회지:초등과학교육
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    • 제41권4호
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    • pp.673-689
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    • 2022
  • 계절 변화를 이해하기 위해서는 3차원 공간 속에서 천체들의 관계를 이해하는 것이 필요하며 이를 위해 학생들이 직접 3차원 모델을 구성하여 사용하고, 평가 및 수정하는 모델링 활동이 중요하다. 이 연구에서는 초등학생이 지구본과 전구를 사용하여 계절 변화 원인으로서 지구의 운동을 3차원 공간에서 모델링하는 과정을 분석하였다. 초등학교 6학년 17명이 참여하였으며 모델링 수업은 계절 변화와 관련된 현상과 개념을 탐색한 뒤 현상의 원인이 되는 지구의 운동을 지구본과 전구를 사용하여 학생들이 직접 모델을 구성하고 이를 활용하여 계절 변화를 설명하는 과정으로 진행되었다. 학생들의 모델링 과정을 녹화한 비디오 자료, 학생들의 활동지, 사후 면담 전사본을 연구 자료로 사용하였고, 삼각 검증을 통해 자료의 신빙성을 확보하였다. 모델링 수준 분석 틀은 선행 연구를 기초로 구성하였으며 모델에 대한 이해와 모델링 실행뿐만 아니라 지구의 운동 관련 개념을 고려하여 구성하였다. 최종 확정된 분석틀에서는 3차원 모델링 수준을 1수준부터 3수준까지 구분하였고 각 수준에서 나타날 수 있는 학생의 수행을 구체화하였다. 연구 결과, 계절 변화를 설명하기 위한 초등학생의 지구본 활용 모델링 수준은 크게 두 가지로 나타났다. 지구의 자전 및 자전축의 기울기, 지구의 공전을 고려하였으나 경험적 증거를 활용하지 못하는 수준(2수준)과 지구의 자전 및 자전축의 기울기, 공전을 고려하고 경험적 증거를 활용하는 수준(3수준)으로 나타났다. 그러나 학생들이 경험적 증거를 활용하여 모델링을 하는 경우도 과학적 모델 구성으로 이어지지 못하였는데, 이 연구에서는 그 원인을 모델링 시 사용하는 도구의 특징과 관련지어 탐색하였다.

Modified Structural Modeling Method and Its Application: Behavior Analysis of Passengers for East Japan Railway Company

  • Nagata, Kiyoshi;Umezawa, Masashi;Amagasa, Michio;Sai, Fuyume
    • Industrial Engineering and Management Systems
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    • 제7권3호
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    • pp.245-256
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    • 2008
  • In order to cope with the ill-defined problem of human behavior being immanent uncertainty, several methodologies have been studied in game theoretic, social psychological and political science frameworks. As methods to arrange system elements systematically and draw out the consenting structural model concretively, ISM, FSM and DEMATEL based on graph theory etc. have been proposed. In this paper, we propose a modified structural modeling method to recognize the nature of problem. We introduce the statistical method to adjust the establishment levels in group decision situation. From this, it will become possible to obtain effectively and smoothly the structural model of group members in comparison with the traditional methods. Further we propose a procedure for achieving the consenting structural model of group members based on the structural modeling method. By applying the method to recognize the nature of ill-defined problems, it will be possible to solve the given problem effectively and rationally. In order to inspect the effectiveness of the method, we conduct a practical problem as an empirical study: "Behavior analysis of passengers for the Joban line of East Japan Railway Company after new railway service of Tsukuba Express opened".