• 제목/요약/키워드: Technology Selection Criteria

검색결과 335건 처리시간 0.031초

Selection of Well Labelled Insulin Fractions for Radioimmunoassay Use

  • Awh, Ok-Doo;Kim, Jae-Rok
    • Nuclear Engineering and Technology
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    • 제12권2호
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    • pp.121-126
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    • 1980
  • 효과적인 저농도 인슈린 방사면역 측정법 확립 및 표지인슈린의 면역학적 환성과 탄소분말에 대한 흡착력의 상관관계를 밝히기 위하여 이들 두 다른 기준에 기초를 둔 두가지의 최적표지 인슈린선정방법을 비교한결과 탄소분말흡착에 의한 방법은 부적당함을 알 수 있었다. 일반적으로 표지인슈린의 방사능, 항체결합능, 탄소분말흡착능등은 서로 일치하지 않았다. 따라서 측정신뢰도를 높이기 위해서는 매 표지때마다 항체결합능으로 최적표지 인슈린을 선정해야 하며 탄소분말 흡착력으로 선정하면 안된다고 본다. 항체결합능에 따라 선정된 표지 인슈린을 써서 대조혈청중의 인슈린량이 정화히 측정되었으며 정온유지시간을 96시간으로 연장함으로써 5 $\mu$U/ml 하의 표준 인슈린투여 량에 대해서도 매우 예리한 응답곡선을 얻을 수 있었다.

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Robust Backup Path Selection in Overlay Routing with Bloom Filters

  • Zhou, Xiaolei;Guo, Deke;Chen, Tao;Luo, Xueshan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제7권8호
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    • pp.1890-1910
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    • 2013
  • Routing overlay offers an ideal methodology to improve the end-to-end communication performance by deriving a backup path for any node pair. This paper focuses on a challenging issue of selecting a proper backup path to bypass the failures on the default path with high probability for any node pair. For existing backup path selection approaches, our trace-driven evaluation results demonstrate that the backup and default paths for any node pair overlap with high probability and hence usually fail simultaneously. Consequently, such approaches fail to derive a robust backup path that can take over in the presence of failure on the default path. In this paper, we propose a three-phase RBPS approach to identify a proper and robust backup path. It utilizes the traceroute probing approach to obtain the fine-grained topology information, and systematically employs the grid quorum system and the Bloom filter to reduce the resulting communication overhead. Two criteria, delay and fault-tolerant ability on average, of the backup path are proposed to evaluate the performance of our RBPS approach. Extensive trace-driven evaluations show that the fault-tolerant ability of the backup path can be improved by about 60%, while the delay gain ratio concentrated at 14% after replacing existing approaches with ours. Consequently, our approach can derive a more robust and available backup path for any node pair than existing approaches. This is more important than finding a backup path with the lowest delay compared to the default path for any node pair.

Impact of nonphysician, technology-guided alert level selection on rates of appropriate trauma triage in the United States: a before and after study

  • Megan E. Harrigan;Pamela A. Boremski;Bryan R. Collier;Allison N. Tegge;Jacob R. Gillen
    • Journal of Trauma and Injury
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    • 제36권3호
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    • pp.231-241
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    • 2023
  • Purpose: Overtriage and undertriage rates are critical metrics in trauma, influenced by both trauma team activation (TTA) criteria and compliance with these criteria. Analysis of undertriaged patients at a level I trauma center revealed suboptimal compliance with existing criteria. This study assessed triage patterns after implementing compliance-focused process interventions. Methods: A physician-driven, free-text alert system was modified to a nonphysician, hospital dispatcher-guided system. The latter employed dropdown menus to maximize compliance with criteria. The preintervention period included patients who presented between May 12, 2020, and December 31, 2020. The postintervention period incorporated patients who presented from May 12, 2021, through December 31, 2021. We evaluated appropriate triage, overtriage, and undertriage using the Standardized Trauma Assessment Tool. Statistical analyses were conducted with an α level of 0.05. Results: The new system was associated with improved compliance with existing TTA criteria (from 70.3% to 79.3%, P=0.023) and decreased undertriage (from 6.0% to 3.2%, P=0.002) at the expense of increasing overtriage (from 46.6% to 57.4%, P<0.001), ultimately decreasing the appropriate triage rate (from 78.4% to 74.6%, P=0.007). Conclusions: This study assessed a workflow change designed to improve compliance with TTA criteria. Improved compliance decreased undertriage to below the target threshold of 5%, albeit at the expense of increased overtriage. The decrease in appropriate triage despite compliance improvements suggests that the current criteria at this institution are not adequately tailored to optimally balance the minimization of undertriage and overtriage. This finding underscores the importance of improved compliance in evaluating the efficacy of TTA criteria.

Machine Learning Perspective Gene Optimization for Efficient Induction Machine Design

  • Selvam, Ponmurugan Panneer;Narayanan, Rengarajan
    • Journal of Electrical Engineering and Technology
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    • 제13권3호
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    • pp.1202-1211
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    • 2018
  • In this paper, induction machine operation efficiency and torque is improved using Machine Learning based Gene Optimization (ML-GO) Technique is introduced. Optimized Genetic Algorithm (OGA) is used to select the optimal induction machine data. In OGA, selection, crossover and mutation process is carried out to find the optimal electrical machine data for induction machine design. Initially, many number of induction machine data are given as input for OGA. Then, fitness value is calculated for all induction machine data to find whether the criterion is satisfied or not through fitness function (i.e., objective function such as starting to full load torque ratio, rotor current, power factor and maximum flux density of stator and rotor teeth). When the criterion is not satisfied, annealed selection approach in OGA is used to move the selection criteria from exploration to exploitation to attain the optimal solution (i.e., efficient machine data). After the selection process, two point crossovers is carried out to select two crossover points within a chromosomes (i.e., design variables) and then swaps two parent's chromosomes for producing two new offspring. Finally, Adaptive Levy Mutation is used in OGA to select any value in random manner and gets mutated to obtain the optimal value. This process gets iterated till finding the optimal value for induction machine design. Experimental evaluation of ML-GO technique is carried out with performance metrics such as torque, rotor current, induction machine operation efficiency and rotor power factor compared to the state-of-the-art works.

네트워크분석과정(ANP)을 이용한 기술개발 성공 예측 : MRAM 기술을 중심으로 (An Analytic Network Process(ANP) Approach to Forecasting of Technology Development Success : The Case of MRAM Technology)

  • 전정환;조현명;이학연
    • 산업공학
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    • 제25권3호
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    • pp.309-318
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    • 2012
  • Forecasting probability or likelihood of technology development success has been a crucial factor for critical decisions in technology management such as R&D project selection and go or no-go decision of new product development (NPD) projects. This paper proposes an analytic network process (ANP) approach to forecasting of technology development success. Reviewing literature on factors affecting technology development success has constructed the ANP model composed of four criteria clusters : R&D characteristics, R&D competency, technological characteristics, and technological environment. An alternative cluster comprised of two elements, success and failure is also included in the model. The working of the proposed approach is provided with the help of a case study example of MRAM (magnetic random access memory) technology.

Selecting and scaling ground motion time histories according to Eurocode 8 and ASCE 7-05

  • Ergun, Mustafa;Ates, Sevket
    • Earthquakes and Structures
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    • 제5권2호
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    • pp.129-142
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    • 2013
  • Linear and nonlinear time history analyses have been becoming more common in seismic analysis and design of structures with advances in computer technology and earthquake engineering. One of the most important issues for such analyses is the selection of appropriate acceleration time histories and matching these histories to a code design acceleration spectrum. In literature, there are three sources of acceleration time histories: artificial records, synthetic records obtained from seismological models and accelerograms recorded in real earthquakes. Because of the increase of the number of strong ground motion database, using and scaling real earthquake records for seismic analysis has been becoming one of the most popular research issues in earthquake engineering. In general, two methods are used for scaling actual earthquake records: scaling in time domain and frequency domain. The objective of this study is twofold: the first is to discuss and summarize basic methodologies and criteria for selecting and scaling ground motion time histories. The second is to analyze scaling results of time domain method according to ASCE 7-05 and Eurocode 8 (1998-1:2004) criteria. Differences between time domain method and frequency domain method are mentioned briefly. The time domain scaling procedure is utilized to scale the available real records obtained from near fault motions and far fault motions to match the proposed elastic design acceleration spectrum given in the Eurocode 8. Why the time domain method is preferred in this study is stated. The best fitted ground motion time histories are selected and these histories are analyzed according to Eurocode 8 (1998-1:2004) and ASCE 7-05 criteria. Also, characteristics of both near fault ground motions and far fault ground motions are presented by the help of figures. Hence, we can compare the effects of near fault ground motions on structures with far fault ground motions' effects.

프로젝트 특성에 따른 발주방식 선정기준;공동주택 건설 사업을 중심으로 (The Selection Criteria of Delivery Method based on Project Characteristics;focused on the Multi-Housing Projects)

  • 문현석;조규만;현창택;구교진;홍태훈
    • 한국건설관리학회:학술대회논문집
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    • 한국건설관리학회 2006년도 정기학술발표대회 논문집
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    • pp.390-395
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    • 2006
  • 오늘날 건설수요는 고도화, 프로젝트의 대형화, 공사여건의 복잡화와 같은 외부환경에 의해 변하고 있다. 이에 정부에서는 외부환경의 변화에 적절히 대응하고자 선진화된 발주방식을 도입하였다. 그러나 이러한 의도와는 달리, 기 발주된 프로젝트에서는 발주방식별 장${\cdot}$단점 등이 효과적으로 나타나지 못하고 있다. 이러한 원인은 사업의 기획단계에서 발주방식을 선정할 때 사업의 특성을 충분히 반영하지 못하는 현재의 "대형공사 입찰방법 심의기준"에서 그 원인을 찾을 수 있다. 따라서 본 연구는 프로젝트의 특성에 따른 적절한 발주방식을 적용하기 위하여 발주방식 선정기준을 위한 모델을 제시하고자 한다.

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외국인 유학생의 치과진료 이용실태와 치과의료기관 선택기준에 관한 연구 (Foreign Students' Use of Dental Treatment and Dental Institutions Study on Selection Criteria)

  • 심연수;안소연;박소영
    • 융합정보논문지
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    • 제11권7호
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    • pp.172-180
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    • 2021
  • 본 연구의 목적은 외국인 유학생을 대상으로 치과진료 이용실태 및 치과의료기관 선택기준을 파악하여 이들의 치과의료 이용에 대한 문제점을 파악하고 구강건강관리 방안을 개선하기 위한 기초자료를 제공하고자 수행하였다. 연구방법은 S 대학교 외국인 유학생 145명을 대상으로 설문조사를 하였으며, 수집된 자료는 SPSS 24.0 프로그램(SPSS Inc. Chicago. IL, USA)을 이용하여 기술통계, 교차분석 및 회귀분석을 실시하였다. 분석결과 치과진료경험에서 일본, 중국, 말레이시아, 기타 유학생 모두 치아우식치료가 가장 많았으며, 건강보험에 가입자는 35.9%에 불과하였다. 치과의료기관 선택기준의 문항별 평균점수는 구강보건교육 프로그램의 제공이 가장 많았으며, 구강보건교육 프로그램이 중요한 경우에 향후 치과진료이용의 의지가 긍정적이었다. 따라서 향후에는 외국인 유학생들을 위한 구강보건교육 프로그램 활성화 및 보건의료 정보제공이 요구된다.

초등학교 급식에서 구매자 - 공급자 관계의 성공요인에 관한 연구 - 구매자의 관점에서 - (A Study on Success Factors of Buyer - Supplier Relationship in Elementary School Lunch : From the buyer's viewpoint)

  • 이윤주;박경숙
    • 대한영양사협회학술지
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    • 제8권1호
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    • pp.1-8
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    • 2002
  • The purpose of this study is to clarify success factors for desirable relationship between buyer and supplier in elementary school. Therefore, the survey questionnaire consisted of general background, past success, success difference, buyer-supplier relationship characteristics(trust, supporting status, communication behavior, conflict resolution techniques, supplier selection process). The subjects were 66 dieticians of elementary school in Inchon. The statistical analysis of data was completed using SPSS program. The results were summarized as follows : Average total cost/day per one person ₩1,156. The number of suppliers per one school were 6. 92.3% of the subjects were in favor of private contract, regarding contract methods of purchasing food materials. For the past success, degree of satisfaction about past their supplier showed 3.49 score. The present success difference was shown higher than the past success. There was significant correlation between the past success and the present success difference. Trust about suppliers showed 3.40score. Supplying companies hardly support for buying school. Among information quality(timely, accurate, adequate, complete, credible), timely and complete showed lower score than the other kind of elements. Among the buyer-supplier relationship characteristic elements, only trust correlated with satisfaction about suppliers significantly. Among the conflict resolution techniques, joint problem solving and persuasive attempts were often made use of by subjects. The supplier selection criteria were shown quality(7.47), supplier's capabilities(6.46), management plan(6.00), price(5.73), scale(5.48), assets(5.27), considers delivery(4.76) and technology(2.39). As results, trust was needed for the desirable relationship between buyers and suppliers. This study has some limitations. The data in this study were collected from only buyer. It is more desired to acquire data from suppliers also.

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NEIS시스템 수행평가를 위한 데이터마이닝 기술을 적용한 루브릭 자동제작 프로그램 설계 및 구현 (Design And Implementation Of The Automatic Rubric Generation System For The NEIS Based Performance Assessment Using Data Mining Technology)

  • 권형규;조미헌;이은정
    • 정보교육학회논문지
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    • 제9권1호
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    • pp.113-124
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    • 2005
  • 본 연구는 학습자 특성을 고려한 교사의 수행평가기준 선택 및 개발을 돕기 위한 툴의 설계 및 개발을 목적으로 한다. 본 연구에서는 데이터마이닝의 분류 및 연관규칙 탐사 기법을 적용하여 교사의 선택 경향과 학생의 특성에 따른 수행평가 유형을 분석하였으며, 이를 통하여 기존 루브릭의 활용 및 신규개발에 대한 적용 방안을 제공하였다. 학습자의 환경, 관심 및 능력을 고려한 수행평가기준의 개발 및 활용은 데이터마이닝의 "분류"를 통한 학습자 중심의 루브릭 적용으로 가능하다. 또한 교사의 학습영역별로 축적된 루브릭 선택 성향을 연관규칙을 통해 추출하여 교수자의 루브릭 선택을 지원함으로써 수행평가에 소요되는 노력과 시간을 경감시키는 효과가 있다. 수행평가나 루브릭 간의 연관성과 학생의 특성 및 성취도에 따라 수행평가를 분류하는 본 프로그램은 교육행정 정보시스템(National Education Information System; NEIS)의 수행평가 요소와 연계하여 교수자의 루브릭 선택, 변경 및 생성을 지원한다.

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