- Reliability and Maintenance Optimization
- Probabilistic and Robust Engineering Design
- Elevator Systems and Control
- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Smart Parking Systems Research
- Acute Ischemic Stroke Management
- Artificial Immune Systems Applications
- Optimization and Mathematical Programming
- Statistical Distribution Estimation and Applications
- Optimization and Packing Problems
- Manufacturing Process and Optimization
- Antiplatelet Therapy and Cardiovascular Diseases
- Metaheuristic Optimization Algorithms Research
- Venous Thromboembolism Diagnosis and Management
- Advanced Authentication Protocols Security
- Facility Location and Emergency Management
- Online and Blended Learning
- Innovative Teaching and Learning Methods
- Software Reliability and Analysis Research
- Evolutionary Algorithms and Applications
- Stroke Rehabilitation and Recovery
- RFID technology advancements
- Traffic control and management
- Vehicle Routing Optimization Methods
Changhua Christian Hospital
2009-2024
National Formosa University
2011-2023
Asia University
2009-2022
Thales (Portugal)
2020-2021
China Medical University Hospital
2020
China Medical University
2020
Chinese Culture University
2017
Chang Bing Show Chwan Memorial Hospital
2017
Taichung Veterans General Hospital
2017
National University of Formosa
2006-2015
Adaptive learning for individual learners has recently become popular in education. This study aims to fill the void existing literature by building an adaptive e-learning system with self-assessment rubrics based on dynamic scaffolding theory response different student needs. Meanwhile, purpose of this is explore effectiveness using scaffoldings and fostering students' outcomes. An experimental design was conducted evaluate satisfaction Excel (spreadsheet) course developed system. Sixty...
Due to the well-developed technology and its variety of applications, radio frequency identifications (RFIDs) become more popular. In many applications such as authentication, RFID systems need security mechanism resist all possible attacks threats. However, most mechanisms always too complex on computation or large memory space that they are not suit for low-cost RFIDs. this paper, we propose a new ultralightweight authentication protocol with mutual authentication. The requires only simple...
The major contribution of present study is to revisit how consumer obtain high adoption intention artificial intelligence (AI)’s production/service based on symmetric and asymmetric thinking in data analysis. In recent years, technology involving AI has become key for success worldwide received prominence among academics practitioners. Accordingly, it necessary identify the relationships relationship marketing, perceived usefulness, ease use, risk, intention. main approach (i.e., SEM,...
3D printed mussel-inspired polydopamine-coated β-TCP/polycaprolactone scaffolds have been considered potential grafts that facilitated not only the physicochemical behaviors but also stimulated formation of neo-bone tissue in femur defects.
Due to the well-developed technology, radio frequency identification (RFID) is widely used in all areas. For some applications, RFID system simply worked as a memory card without security mechanism. However, many systems need mechanism for authentication. In scenario such e-passport, even protect userpsilas privacy. 2004, Gao et al. proposed supply chain, and their has drawbacks. 2007, Chen an improved enhance security. this paper, we will show that al.'s protocol not so secure they claimed....
The neural network (NN) is a technique using an artificial intelligent concept in predicting outcomes by various input variables. Tacrolimus pharmacokinetics has wide inter- and intra-subject variability it often difficult to predict its blood concentrations dose alone. objectives of this study are select the clinically significant variables concentration tacrolimus liver transplant patients NN combined with genetic algorithm (GA). A total thirty-two adult from University Iowa Hospitals...
The cancer classification through gene expression patterns becomes one of the most promising applications microarray technology. It is also a significant procedure in bioinformatics. In this study grid computing based evolutionary mining approach proposed as discriminant function for selection and tumor classification. on infrastructure establishing best attributes set. analysis vector distant median method evaluation genetic algorithm which lays stress find key set data to establish...
Objective To compare the test-retest reliabilities and minimal detectable change (MDC) of Short Portable Mental State Questionnaire (SPMSQ) Montreal Cognitive Assessment (MoCA) in patients with stroke. Methods 63 were recruited from 1 medical center. The SPMSQ MoCA administered twice, 2 weeks apart. Results Both measures showed high intraclass correlation coefficients (SPMSQ: 0.87; MoCA: 0.89) acceptable MDC%s 14.8%; 19.6%). A small ( r = 0.30) was found between absolute difference average...