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Pin-Chan Lee,Li-Long Zheng,Tzu-Ping Lo,Danbing Long 대한토목학회 2020 KSCE JOURNAL OF CIVIL ENGINEERING Vol.24 No.3
Risk management of deep excavation is always an important issue. One of the core problems is to accurately simulate and predict the time series of displacement collected from the site sensors to monitor the risk variation. Meanwhile, the applications of building information modelling (BIM) and geographic information system (GIS) can integrate the construction structures into the surrounding environment, visualizing various information and supporting decision making for risk treatment. Therefore, this paper proposes a risk management system to monitor the risk variation for deep excavation based on optimized grey Verhulst model (GVMm), BIM-3DGIS framework and risk monitoring. The grey Verhulst model (GVM) has demonstrated well performance on saturation curve, such as displacement of deep excavation. This paper establishes the GVMm by improving GVM to predict the displacement more precisely. BIM-3DGIS framework is also built by integrating BIM and 3DGIS in the application level for the efficiency of system operation and the interaction with the risk management platform. BIM-3DGIS framework, working with the risk management platform, can monitor the risk variation of deep excavation effectively and provide visual decision-making supports. A real case of deep excavation is used as an illustrative example to verify the practicability. The results show that the prediction precision of GVMm is better than that of GVM. The application scenarios also demonstrate the effectiveness of the risk management system.
Pin-Chan Lee,Wei Xie,Tzu-Ping Lo,Danbing Long,Xiaofei Tang 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.8
The maintenance of historic buildings requires a systematic approach to construct and reuse maintenance knowledge. Maintenance knowledge of historic buildings has extensive and specific knowledge, but a small number of experts provide most of experience. With the rapid development of building information modelling (BIM), it can facilitate maintenance management of historic buildings. Recently, research on connecting ontology and BIM was discussed to promote building knowledge management (BKM). However, BKM is less applied in historic buildings and connection strength is also less discussed. Connection strength of knowledge mapping can increase the performance of knowledge retrieval. Therefore, this study aims to build connection between maintenance ontology of historic buildings and BIM, and also proposes a cloud model-based knowledge mapping method to evaluate the connection strength. This study uses FMEA (failure mode and effects analysis) to connect ontology and BIM, and the grey relational analysis to evaluate the connection strength. Meanwhile, cloud model is integrated into FMEA to better deal with uncertain information to increase the reliability. This study adopts a real case to valid the practicability. The results show the proposed method can evaluate the connection strengths with uncertain information and obtain the maintenance knowledge more efficiently.
Pin-Chan Lee,Junhao Wei,Hsin-I Ting,Tzu-Ping Lo,Danbing Long,Luh-Maan Chang 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.10
Construction has long been seen as a high-risk industry. Many studies conduct risk management by controlling construction risk indicators, but few studies associate risk indicators with time and space to propose long-term risk management methods. Therefore, this study proposes a dynamic analysis and visual tracking method based on behavior-based safety (BBS). This study establishes a BBS observation checklist and records workers’ unsafe behavior. The risk level of unsafe behavior is then determined by grey clustering model. When a high risk occurs, an improved grey correlation model is used to track key indicators that affect risk. In order to achieve visual risk management, this study develops semantic logic to predefine the relationship between components and space. In schedule simulation of BIM, the key indicators of BBS are transformed into an executable visual inspection between work items, components, and space through ARC. This method makes it easier for construction managers to combine time and space to manage safety risk and to adopt appropriate strategies in a timely manner to improve the efficiency of safety management.
An Efficient Design Support System based on Automatic Rule Checking and Case-based Reasoning
Pin-Chan Lee,Tzu-Ping Lo,Ming-Yang Tian,Danbing Long 대한토목학회 2019 KSCE Journal of Civil Engineering Vol.23 No.5
A well building design support system can not only meet the rules but also automatically recommend the appropriate alternatives for designers, but most modifications now are conducted in the manual way. Although the method of automatic rule checking can effectively identify the compliance of rules in Building Information Modeling (BIM) models, recommendation supports are still lacked in applications. This paper aims to propose a design support system, using automatic rule checking to identify the compliance of rules and adopting case-based reasoning to provide recommendations via ontology and semantics. The AHP-TOPSIS (Analytic hierarchy process-Technique for Order Preference by Similarity to an Ideal Solution) method is used to give reliable recommendations rank. A real case is adopted as an illustrative example. Results show that the proposed system can increase the design efficiency in both design checking and modifying. Similar applications can be extended to other fields and rules.
The Real-time Video Stabilization for the Rescue Robot
Jen-Pin Hsiao,Cheng-Chung Hsu,Tzu-Chiang Shih,Pau-Lo Hsu,Syh-Shiuh Yeh,Bor-Chyun Wang 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
When rescue robots navigate in a rough terrain, significant vibration of the video occurs unavoidably and a video stabilization system is proposed in this paper to reduce the disturbance on the visual system of the present rescue robots. The Kalman filter is applied to estimate the motion vector of the robot and the false estimation occurrence can be thus greatly reduced by applying analysis of correlation and variance of the motion vector estimation. With a hierarchical searching algorithm implemented on the TI DSP 6437, the frame rate can be improved from 10 fps to 28 fps to realize the real-time video stabilization and furthermore, the cooperative mission of multiple rescue robots has been achieved by applying the developed visual servo technique. The proposed virtual bounded motion control algorithm further leads the robots approaching the target precisely with cooperation of multiple rescue robots. The demo video is available at: http://lab816.cn.nctu.edu.tw/DemoVideo/.
( Chen Wang Chang ),( Shu Chen Wei ),( Jen Wei Chou ),( Tzu Chi Hsu ),( Chiao Hsiung Chuang ),( Ching Pin Lin ),( Wen Hung Hsu ),( Hsu Heng Yen ),( Jen Kou Lin ),( Yi Jen Fang ),( Horng Yuan Wang ),( 대한장연구학회 2014 Intestinal Research Vol.12 No.4
Background/Aims: Only moderate to severe Crohn`s Disease (CD) patients without a satisfactory conventional therapy effect are eligible to get reimbursement from the National Health Insurance of Taiwan for using adalimumab. These are more stringent criteria than in many Western countries and Japan and Korea. We aim to explore the efficacy of using adalimumab in CD patients under such stringent criteria. Methods: A retrospective analysis was conducted in nine medical centers in Taiwan and we collected the results of CD patients receiving adalimumab from Sep 2009 to Mar 2014. The clinical characteristics, response measured by CDAI (Crohn`s Disease Activity Index), adverse events and survival status were recorded and analyzed. CR-70, CR-100, and CR-150 were defined as attaining a CDAI decrease of 70, 100 or 150 points compared with baseline. Results: A total of 103 CD patient records were used in this study. Sixty percent of these patients received combination therapy of adalimumab together with immunomodulators. CR-70 was 68.7%, 74.5% and 88.4% after week 4, 8 and 12 of treatment, respectively. The steroid-free rate, complications and survival were 47.6%, 9.7% and 99% of patients, respectively. In considering the mucosal healing, only 25% patients achieve mucosal healing after treatment for 6 to12 months. Surgery was still needed in 16.5% of patients. Combination treatment of adalimumab with immunomodulators further decreased the level of CDAI at week 8 when compared with the monotherapy. Conclusions: Even under the stringent criteria for using adalimumab, the response rate was comparable to those without stringent criteria. (Intest Res 2014;12:287-292)
Eunice Jia-Shiow Yuan,Shiau-Shian Huang,Chia-An Hsu,Jiing-Feng Lirng,Tzu-Hao Li,Chia-Chang Huang,Ying-Ying Yang,Chung-Pin Li,Chen-Huan Chen 한국보건의료인국가시험원 2023 보건의료교육평가 Vol.20 No.-
Purpose Coronavirus disease 2019 (COVID-19) has heavily impacted medical clinical education in Taiwan. Medical curricula have been altered to minimize exposure and limit transmission. This study investigated the effect of COVID-19 on Taiwanese medical students’ clinical performance using online standardized evaluation systems and explored the factors influencing medical education during the pandemic. Methods Medical students were scored from 0 to 100 based on their clinical performance from 1/1/2018 to 6/31/2021. The students were placed into pre-COVID-19 (before 2/1/2020) and midst-COVID-19 (on and after 2/1/2020) groups. Each group was further categorized into COVID-19-affected specialties (pulmonary, infectious, and emergency medicine) and other specialties. Generalized estimating equations (GEEs) were used to compare and examine the effects of relevant variables on student performance. Results In total, 16,944 clinical scores were obtained for COVID-19-affected specialties and other specialties. For the COVID-19-affected specialties, the midst-COVID-19 score (88.51–3.52) was significantly lower than the pre-COVID-19 score (90.14–3.55) (P<0.0001). For the other specialties, the midst-COVID-19 score (88.32–3.68) was also significantly lower than the pre-COVID-19 score (90.06–3.58) (P<0.0001). There were 1,322 students (837 males and 485 females). Male students had significantly lower scores than female students (89.33–3.68 vs. 89.99–3.66, P=0.0017). GEE analysis revealed that the COVID-19 pandemic (unstandardized beta coefficient=-1.99, standard error [SE]=0.13, P<0.0001), COVID-19-affected specialties (B=0.26, SE=0.11, P=0.0184), female students (B=1.10, SE=0.20, P<0.0001), and female attending physicians (B=-0.19, SE=0.08, P=0.0145) were independently associated with students’ scores. Conclusion COVID-19 negatively impacted medical students' clinical performance, regardless of their specialty. Female students outperformed male students, irrespective of the pandemic.