• Title/Summary/Keyword: Technical success

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Empirical Analysis on the Relationship between R&D Inputs and Performance Using Successive Binary Logistic Regression Models (연속적 이항 로지스틱 회귀모형을 이용한 R&D 투입 및 성과 관계에 대한 실증분석)

  • Park, Sungmin
    • Journal of Korean Institute of Industrial Engineers
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    • v.40 no.3
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    • pp.342-357
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    • 2014
  • The present study analyzes the relationship between research and development (R&D) inputs and performance of a national technology innovation R&D program using successive binary Logistic regression models based on a typical R&D logic model. In particular, this study focuses on to answer the following three main questions; (1) "To what extent, do the R&D inputs have an effect on the performance creation?"; (2) "Is an obvious relationship verified between the immediate predecessor and its successor performance?"; and (3) "Is there a difference in the performance creation between R&D government subsidy recipient types and between R&D collaboration types?" Methodologically, binary Logistic regression models are established successively considering the "Success-Failure" binary data characteristic regarding the performance creation. An empirical analysis is presented analyzing the sample n = 2,178 R&D projects completed. This study's major findings are as follows. First, the R&D inputs have a statistically significant relationship only with the short-term, technical output, "Patent Registration." Second, strong dependencies are identified between the immediate predecessor and its successor performance. Third, the success probability of the performance creation is statistically significantly different between the R&D types aforementioned. Specifically, compared with "Large Company", "Small and Medium-Sized Enterprise (SMS)" shows a greater success probability of "Sales" and "New Employment." Meanwhile, "R&D Collaboration" achieves a larger success probability of "Patent Registration" and "Sales."

A study on the Development of Systems Engineering Application Model for LRT based on MBSE (전산도구 기반의 경량전철사업 시스템엔지니어링 적용모델 SELRT 개발)

  • Han, Seok Youn;Kim, Joo Uk;Choi, Yo Cheol
    • Journal of the Korean Society of Systems Engineering
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    • v.8 no.1
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    • pp.9-19
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    • 2012
  • The Light Rail Transit Project is a large scaled project which takes several years in building a system. After construction, LRT system is operating for several tens of years. For these characteristics, the right application of systems engineering to LRT project greatly effects the project success. In this paper, we present systems engineering application model to LRT project i.e. SELRT which include systems engineering technical process, core technology management process, project support process. SELRT also has a module for the exchange of outputs in SE tool and PM tool. Systems engineering processes in SELRT mainly base on ISO/IEC 15288. In future, we expand the range of SE processes and improve the usability in SELRT. We expect that this model will contribute to improve the efficiency in LRT project and to success the LRT project.

The Role of Universities in Research and Development and Technical Services (R & D & TS) in Korea

  • Kim, Sheung-Kown
    • IE interfaces
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    • v.2 no.1
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    • pp.79-96
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    • 1989
  • Abundant hard-working and well-educated human resources were the important sources of the spectacular economic success during the last decades. In contrast to the past sources of economic growth during the 1970's when labor and capital along with economies of scale were the dominant factors (the university has played an important role in the national economic success by supplying quality labour and intellectual talent.), the level of science, technological innovation and capital inputs will be of vital importance for future economic growth in Korea. The balance of payments in technology transfer together with the current state of R & D activities has been reviewed and some of the issues and problems underlying the university system that tend to hinder research in collaboration with research institutes and industries have been outlined. Serious imbalance in the allocation of research funds among research sectors was identified as the most serious problem to be fixed. The importance of science and technology education in private universities for the enhancement of the national level of science and technology has been re-examined. Also research and development in engineering and technical services has been emphasized. In conclusion, ways to bolster the role of universities in the research environment in cooperation with industry and research institutes have been suggested.

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3D CACT-assisted Radiofrequency Ablation Following Transarterial Chemoembolization for Hepatocellular Carcinoma: Early Experience

  • Jiao, De-Chao;Han, Xin-Wei;Wu, Gang;Ren, Jian-Zhuang
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.17
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    • pp.7897-7903
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    • 2015
  • Background: To explored the value of 3D C-arm CT (CACT) guidance system in performing radiofrequency ablation (RFA) following transarterial chemoembolizationon (TACE) for hepatocellular carcinomas. Materials and Methods: RFA of hepatocellular carcinomas (HCC) were performed on 15 patients (21 lesions) with the assistance of CACT guidance system. Technical success, procedure time, complications and patient radiation exposure were investigated. The puncture performance level was evaluated on a five-point scale (5-1: excellent-poor). Complete ablation rate was evaluated after two months follow-up using enhanced CT scans. Results: The technical success rate of RFA procedure under CACT navigation system was 100 %. Mean total procedure time was $24.24{\pm}6.53min$, resulting in a mean effective exposure dose of $15.4{\pm}5.1mSv$. The mean puncture performance level rated for CACT guided RFA procedure was $4.87{\pm}0.35$. Complete ablation (CA) was achieved in 20 (95.2%) of the treated 21 tumors after the first RFA session. None of patients developed intra-procedural complications. Conclusions: 3D CACT guidance system enables reliable and efficient needle positioning by providing real-time intraoperative guidance for performing RFA on HCCs.

Implicit Treatment of Technical Specification and Thermal Hydraulic Parameter Uncertainties in Gaussian Process Model to Estimate Safety Margin

  • Fynan, Douglas A.;Ahn, Kwang-Il
    • Nuclear Engineering and Technology
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    • v.48 no.3
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    • pp.684-701
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    • 2016
  • The Gaussian process model (GPM) is a flexible surrogate model that can be used for nonparametric regression for multivariate problems. A unique feature of the GPM is that a prediction variance is automatically provided with the regression function. In this paper, we estimate the safety margin of a nuclear power plant by performing regression on the output of best-estimate simulations of a large-break loss-of-coolant accident with sampling of safety system configuration, sequence timing, technical specifications, and thermal hydraulic parameter uncertainties. The key aspect of our approach is that the GPM regression is only performed on the dominant input variables, the safety injection flow rate and the delay time for AC powered pumps to start representing sequence timing uncertainty, providing a predictive model for the peak clad temperature during a reflood phase. Other uncertainties are interpreted as contributors to the measurement noise of the code output and are implicitly treated in the GPM in the noise variance term, providing local uncertainty bounds for the peak clad temperature. We discuss the applicability of the foregoing method to reduce the use of conservative assumptions in best estimate plus uncertainty (BEPU) and Level 1 probabilistic safety assessment (PSA) success criteria definitions while dealing with a large number of uncertainties.

Stricturing Crohn's disease: what is the role of endoscopic stenting? A systematic review

  • Giorgia Burrelli Scotti;Roberto Lorenzetti;Annalisa Aratari;Antonietta Lamazza;Enrico Fiori;Claudio Papi;Stefano Festa
    • Clinical Endoscopy
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    • v.56 no.6
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    • pp.726-734
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    • 2023
  • Background/Aims: Endoscopic stenting for stricturing Crohn's disease (CD) is an emerging treatment that achieves more persistent dilatation of the stricture over time than endoscopic balloon dilatation (EBD). We aimed to explore the efficacy and safety of stenting for the treatment of CD strictures. Methods: A systematic electronic literature search was performed (PROSPERO; no. CRD42022308033). The primary outcomes were technical success, efficacy, complication rate, and the need for further interventions due to reobstruction. The outcomes of partially covered self-expanding metal stents (PCSEMS) with scheduled retrieval after seven days were also analyzed. Results: Eleven eligible studies were included in the review. Overall, 173 patients with CD were included in this study. Mean percentage of technical success was 95% (range, 80%-100%), short-term efficacy was 100% in all studies, and long-term efficacy was 56% (range, 25%-90%). In patients with a scheduled PCSEMS retrieval, the long-term efficacy was 76% (range, 59%-90%), the mean complication rate was 35% (range, 15%-57%), and the major complication rate was 11% (range, 0%-29%). Conclusions: Endoscopic stenting with scheduled PCSEMS retrieval may be considered a feasible second-line treatment for short CD strictures to postpone surgery. However, larger head-to-head prospective studies are needed to understand the role of stenting as an alternative or additional treatment to EBD in CD.

The Role of Human Factors in Expert System (전문가시스템 개발에 있어서의 인간공학의 역할)

  • 서창교
    • The Journal of Information Systems
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    • v.1
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    • pp.95-109
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    • 1992
  • A number of success story about various application areas including manufacturing, accounting, finance, education, and engineering are reported. MIS professionals predicted that expert systems would improve the productivity enormously. However, the expert system revolution has not happened yet. Although not reported in the open society widely, there are failure stories of expert systems. Most of problems concerning expert system failure stem from the non-technical issues such as cognitive and psychological problems rather than the technical issues. We hypothesize that human factor principle enables designers to handle most of these non-technical problems elegantly and to improve the performance and acceptance of the expert systems. Major reasons for expert system failure and needs of human factors are discussed. Human factor guidelines to expert system make the prospects of the expert systems with human factors clear and understandable.

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Partnership's Affect on Success of IT-Outsourcing (파트너십이 IT 아웃소싱의 성과에 미치는 영향)

  • Yeon, Keyong-Hwa
    • The Journal of the Korea Contents Association
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    • v.7 no.7
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    • pp.171-178
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    • 2007
  • In this paper the Partnership's Influence on the Success of IT-Outsourcing is studied. Especially the role of "Partnership" as Intermediate is mainly researched. As the result we can see the fact that the economic factor does not affect the Partnership and the success of IT-Outsourcing, because the IT-Outsourcing can cause sometimes the increase of the cost. On the other hand strategic factor and technical factor affect directly the Success of IT-Outsourcing. This means that the Success of IT-Outsourcing depends on the close cooperation between customer and service provider, rather than on the following the contents of the Service Level Agreement(SLA). In consequences the Partnership based on the steady and fluent communication and the feeling of sharing the risk and benefit between two parties is the key factor for the Success of IT-Outsourcing.

An Empirical Study on Critical Success Factors of ERP System according to BPR implementation timing (BPR 실시시점에 따른 ERP시스템의 주요성공요인에 관한 실증적 연구)

  • Choi, Kwang-Don
    • Journal of the Korea Society of Computer and Information
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    • v.10 no.4 s.36
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    • pp.315-336
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    • 2005
  • The purpose of this study is to derive critical success factors for ERP system implementation by integrating managerial, technical, human resource and organizational culture factors which have been proposed as influencing factors for the performance of ERP system implementation in previous studies. The main results of this study are as follows. First, it derives 33 success factors through comprehensive review of various factors which may affect ERP system implementation performance, and categorizes them into one of three stages : preparation stage, implement stage, and settle-down and stabilization stage. Second, this study tests whether there are different correlations or not between the success factors of each ERP system implementation stage and ERP system implementation performance depending upon the strategies of ERP system implementation. As a result, it is shown that some of success factors have significantly different correlations with performance variables in accordance with BPR implementation timing.

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Assessing the Success rate of e-Learning Systems Aadoption in Saudi Higher Education Institutions during COVID-19 Pandemic: Student Perspective

  • Aljuhani, Nouf;Matar, Zinah;Alzahrani, Asma;Saeedi, Kawther;Badri, Sahar;Fakieh, Bahjat
    • International Journal of Computer Science & Network Security
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    • v.22 no.3
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    • pp.77-88
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    • 2022
  • In response to the significant COVID-19 outbreak, countries have enforced the use of E-learning systems as an alternative to traditional learning; to contain the virus and minimize the infection rate while maintaining the continuity of the learning experience. However, the effective adoption of E-learning systems requires a well-understanding of critical factors, especially in times of crisis. In this regard, this study intends to assess the success of the E-learning system adoption by Higher Education Institutions (HEIs) during the crisis of COVID-19 by utilizing the Information Systems Success (ISS) model. This study's adopted model consists of nine interdependent dimensions, namely: Technical System Quality, Information Quality, Service Quality, Learner Quality, Perceived Satisfaction, Perceived Usefulness, System Use, Intention to Use, and System Success. An electronic survey was distributed among higher education students from different universities in Saudi Arabia to explore each model's dimension. Structural Equation Modeling (SEM) has been applied via SmartPLS software to test the causal relationships between dimensions. This study's main results revealed that students' Service Quality, Learner Quality, and the Intention to Use by students are essential drives for E-learning System Use during the Covid-19 pandemic. Meanwhile, the Intention to Use the system is significantly influenced by Perceived Satisfaction and Perceived Usefulness dimensions. Further, Perceived Satisfaction, Perceived Usefulness, and System Use are interdependent, and all three have a significant positive impact on E-learning System Success.