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RISS 인기검색어
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- 저자 : Bing Lin (검색결과 141 건)
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Implementation of 3D Human Simulation to the Design of the Design of μ-Assembly Machine
Bing Lin Zhang(장병림),Guan Wang(왕관),Dug Hee Moon(문덕희),Jun-Yeob Song(송준엽),Chang Woo Lee(이창우) 한국생산제조학회 2009 한국공작기계학회 추계학술대회논문집 Vol.2009 No.-
This paper describes a case study of applying 3D human simulation to the design of a u-assembly machine which is a micro semi-automatic machine. Two types of assembly machine are tested and compared. The purpose of our research is to find out a better design considering ergonomics through the implementation of 3D human simulation and RULA analysis. The worker's working postures are analyzed during the simulation of assembly process.
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Implementation of 3D Human Simulation to the Design of the Design of μ-Assembly Machine
Bing Lin Zhang(장병림),Guan Wang(왕관),Dug Hee Moon(문덕희),Jun-Yeob Song(송준엽),Chang Woo Lee(이창우) 한국생산제조학회 2009 한국생산제조시스템학회 학술발표대회 논문집 Vol.2009 No.10
This paper describes a case study of applying 3D human simulation to the design of a u-assembly machine which is a micro semi-automatic machine. Two types of assembly machine are tested and compared. The purpose of our research is to find out a better design considering ergonomics through the implementation of 3D human simulation and RULA analysis. The worker's working postures are analyzed during the simulation of assembly process.
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Negative Market Volatility Risk Premium: Evidence from the LIFFE Equity Index Options
Bing-Huei Lin,Yin-Jung Chen 한국증권학회 2009 Asia-Pacific Journal of Financial Studies Vol.38 No.5
We provide non-parametric empirical evidence regarding negative volatility risk premium using LIFFE equity index options. In addition, we incorporate the moment-adjusted option delta hedge ratio to mitigate the effect of model misspecification. From the results, we observe several interesting phenomena. First, the delta-hedged gains are negative. Second, with a correction for model misspecification, higher-order moments measures show less significance and the volatility risk premium still plays a key role in affecting delta-hedged gains. All empirical evidence supports the existence of negative volatility risk premium in LIFFE equity index options.
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Learning Curve of ROSA ONE Spine System for Transpedicular Screw Placement
Bing-Hung Hsu,Heng-Wei Liu,Kha-Liang Lee,Ming-Chin Lin,Gao Chen,Jang Yu,Chiao-Ling Chen,I-Chang Su,Chien-Min Lin 대한척추신경외과학회 2022 Neurospine Vol.19 No.2
Objective: The study investigated our institutional learning curve for the ROSA ONE spine system (ROSA) based on ROSA usage time. Methods: ROSA was designed to provide high accuracy for spinal pedicle screw placement through a built-in tracking technique. This study was conducted from November 2018 to January 2021. The time taken to complete each step of the robotic workflow was recorded. Patient demographics, comorbidities, surgical indications, and number of screw placements were examined in subgroup analysis. The Curve Fitting-General package (a part of NCSS 2021 software) was used to fit a mathematical model to the learning curve. Patient demographics, imaging data, and surgical time were reviewed retrospectively. Results: A total of 167 patients who had undergone surgery were included. The mean total ROSA usage time was 107.1 ± 27.3 minutes. The estimated learning rate was 90.4%, and the largest slope change occurred close to the time of the 20th surgery. The observed overall learning trend in the 4-screw group could be attributed to screw planning. The presence of scoliosis (p = 0.73) or spondylolisthesis (p = 0.70) did not significantly influence the mean total time (TT) for all patients; however, the mean TT differed significantly (p < 0.01) among subgroups stratified by body mass index, screw number placement, and thoracic spine involvement. Conclusion: To the best of our knowledge, this is the first study to examine the learning curve for the various crucial steps of ROSA-guided pedicle screw placement. The indicative learning curve involved 20 patients who had undergone surgery.
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Structure of Spot Rates and Duration Hedging
Bing-Huei Lin,Jr-Yan Wang,Shih-Wen Tai 한국증권학회 2011 Asia-Pacific Journal of Financial Studies Vol.40 No.4
The present study proposes a three-factor model using spot rates as proxies for the state variables of the term structure of interest rates. Empirical analysis is carried out on the in-sample explanatory power and the out-of-sample prediction ability of spot-rate models, and comparison is made between the modified Macaulay duration and spot-rate duration hedging for bond portfolios. The results not only show that the optimal three-spot-rate model outperforms the optimal two-spot-rate model proposed by Elton et al. (Journal of Finance, 45, 1990, 629–642) with respect to explanation ability of unexpected changes in the term structure of interest rates, but also illustrate the importance of capturing the curvature characteristic of the term structure of interest rates for spot-rate duration hedging methods. Moreover, the impressive performance of three-spot-rate duration hedging implies that it is feasible to reduce the dimensions of state variables to three for the purposes of risk exposure prediction and risk management of bond portfolios.
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A rapid modeling method and accuracy criteria for common-cause failures in Risk Monitor PSA model
Zhang, Bing,Chen, Shanqi,Lin, Zhixian,Wang, Shaoxuan,Wang, Zhen,Ge, Daochuan,Guo, Dingqing,Lin, Jian,Wang, Fang,Wang, Jin Korean Nuclear Society 2021 Nuclear Engineering and Technology Vol.53 No.1
In the development of a Risk Monitor probabilistic safety assessment (PSA) model from the basic PSA model of a nuclear power plant, the modeling of common-cause failure (CCF) is very important. At present, some approximate modeling methods are widely used, but there lacks criterion of modeling accuracy and error analysis. In this paper, aiming at ensuring the accuracy of risk assessment and minimizing the Risk Monitor PSA models size, we present three basic issues of CCF model resulted from the changes of a nuclear power plant configuration, put forward corresponding modeling methods, and derive accuracy criteria of CCF modeling based on minimum cut sets and risk indicators according to the requirements of risk monitoring. Finally, a nuclear power plant Risk Monitor PSA model is taken as an example to demonstrate the effectiveness of the proposed modeling method and accuracy criteria, and the application scope of the idea of this paper is also discussed.
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( Ji Lin Qing ),( Hai Bing Xiao ),( Lin Zhao ),( Gui Fang Qin ),( Li Hua Hu ),( Zhi Zhong Chen ) 한국미생물 · 생명공학회 2014 Journal of microbiology and biotechnology Vol.24 No.4
TIM-1 (also known as KIM-1 and HAVcr-1) is a type I transmembrane glycoprotein member of the TIM family that may play important roles in innate and adaptive immune responses. The overexpression of proteins associated with membrane proteins is a major obstacle to overcome in studies of membrane protein structures and functions. In this study, we successfully coupled the overexpression of the TIM-1 protein with a C-terminal enhanced green fluorescent protein (GFP) tag in Escherichia coli. To the best of our knowledge, this report is the first to describe the overexpression of human TIM-1 in E. coli. The purified TIM-1-EGFP fusion protein recognized and bound directly to apoptotic cells and did not to bind to viable cells. Furthermore, we confirmed that the interactions of TIM-1-EGFP with apoptotic cells were blocked by TIM-1-Fc fusion proteins. This fusion protein represents a readily obtainable source of biologically active TIM-1 that may prove useful in future studies of human TIM-1.
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