作者：
Ye Wang;Huiwei Wei;Jing Wen;Jiayuan He;Pengcheng Li*
期刊：
Annals of Nuclear Energy,2025年211:110896 ISSN：0306-4549
通讯作者：
Pengcheng Li
作者机构：
[Ye Wang; Jiayuan He] School of Nuclear Science and Technology, University of South China, Hengyang, Hunan 421001, China;[Huiwei Wei] School of Economics, Management and Law, University of South China, Hengyang, Hunan 421001, China;[Jing Wen] School of Resources Environment and Safety Engineering, University of South China, Hengyang, Hunan 421001, China;[Pengcheng Li] Human Factor Institute, University of South China, Hengyang, Hunan 421001, China
通讯机构：
[Pengcheng Li] H;Human Factor Institute, University of South China, Hengyang, Hunan 421001, China
作者机构：
[Zhang, Meihui; Li, Yu; Dai, Licao] Univ South China, Inst Human Factors, Hengyang 421001, Peoples R China.;[Li, Yu] Univ South China, Sch Comp Sci, Hengyang 421001, Peoples R China.;[Zhang, Meihui] Univ South China, Sch Nucl Sci & Technol, Hengyang 421001, Peoples R China.
通讯机构：
[Licao Dai] I;Institute of Human Factors, University of South China, Hengyang 421001, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
clustering;eyes’ blink rate;fatigue;mouse velocity;nuclear power plant main control room;PERCLOS;supervised learning
期刊：
2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT),2023年:856-865
作者机构：
[Licao Dai] Human Factor Institute, University of South China, Hengyang, China;[Xiangyu Han] College of Computer Science, University of South China, Hengyang, China
摘要：
Fatigue recognition of operators in a complex human-machine interface can effectively avoid human error. Aiming at improving the operator's vigilance in the digital control room of nuclear power plants, this paper proposes a multimodal fatigue state recognition technique. It combines deep learning and eyelid feature information to recognize the fatigue state of operators. Temporal Convolutional Network (TCN) is integrated with the 3D Residual Network (ResNet3D) to retain the temporal and spatial features of the eyelid. By using a custom cosine annealing learning rate decay algorithm to avoid the training process of the model falling into the local optimum. In this study, experiments were conducted on a variety of eyelid feature information for different timesteps. The UTA-RLDD and DROZY datasets were used to train and validate the model. The experimental results show that the fusion recognition of eyelid images and eyelid aspect ratio (EAR) using ResNet3D and TCN multimodal model can achieve better recognition results. With the increase of the timestep, there is a significant increase in the effect of recognition of mental states. In addition, the study set up an eyelid fatigue dataset to better fit the working environment of the digital main control room in a nuclear power plant. When the timestep is set to 160, the recognition recall of the model for this test dataset is 88%. The multimodal model can detect the state of low vigilance and drowsiness in real-time. Compared with other methods, the recognition accuracy of the model is improved by an average of 2.25%.
作者机构：
[常猛; 李鹏程] Nuclear and Radiation Safety Center, Ministry of Ecology and Environment, Beijing;100082, China;[王茹; 刘珍; 刘晓慧] Human Factor Institute, University of South China, Hunan, Hengyang;421001, China;[常猛] 100082, China
作者：
LE, Trang Quang;WU, Wann-Yih;LIAO, Ying-Kai;PHUNG, Thuy Thi Thu
期刊：
Journal of Distribution Science (유통과학연구),2022年20(2):1-9 ISSN：1738-3110
通讯作者：
Phung, T.T.T.
作者机构：
[LE, Trang Quang; WU, Wann-Yih] Department of Business Administration, Nanhua University, Chiayi County, Taiwan;[LIAO, Ying-Kai] Program of International Business, Nanhua University, Chiayi County, Taiwan;[PHUNG, Thuy Thi Thu] Faculty of Sport Science, Ton Duc Thang University, Ho Chi Minh City, Viet Nam
通讯机构：
Faculty of Sport Science, Ton Duc Thang University, Ho Chi Minh City, Viet Nam
关键词：
Hedonic shopping value;Impulse buying behavior;Marketing stimuli;Meta-analysis;Online distribution channels;S-o-r
期刊：
Progress in Nuclear Energy,2022年144:104086 ISSN：0149-1970
通讯作者：
Pengcheng Li
作者机构：
[Luo, Zhuhua; Li, Pengcheng; Liu, Yahua; Dai, Licao] Univ South China, Sch Resources Environm & Safety Engn, Hengyang 421001, Hunan, Peoples R China.;[Jin, Xiao; Luo, Zhuhua; Li, Pengcheng; Liu, Yahua; Liu, Zhen; Dai, Licao] Univ South China, Human Factor Inst, Hengyang 421001, Hunan, Peoples R China.
通讯机构：
[Pengcheng Li] S;School of Resources, Environment and Safety Engineering, University of South China, Hengyang 421001, Hunan, People's Republic of China<&wdkj&>Human Factor Institute, University of South China, Hengyang 421001, Hunan, People's Republic of China
关键词：
Team situation awareness;Human reliability analysis;Dynamic Bayesian network;Digital nuclear power plants
摘要：
Team situation awareness (TSA) reliability is an important factor for team reliability. Moreover, situation awareness (SA) is a prominent problem in digital nuclear power plants (NPPs). Currently, since there is no suitable method to dynamically assess TSA reliability, we constructed a dynamical assessment method of TSA reliability based on a dynamic Bayesian network (DBN) to evaluate TSA reliability. First of all, a TSA causal concept model through qualitative analysis, expert group discussion and sample data analysis. On this basis, the quantitative assessment method of TSA reliability was constructed based on DBN and obtained probability distribution of variables. A standardized method was established to obtain the probability distribution of variables. Furthermore, we evaluated TSA dynamic reliability in a steam generator tube rupture (SGTR) accident. The results showed that the error probability of TSA decreased, and the level of TSA reliability continuously increased in SGTR. TSA reliability can be dynamically predicted by causal reasoning, the most important cause of TSA error could be identified by diagnostic reasoning, which provided theoretical support for the targeted prevention of human error. Finally, this established method was proved to be reasonable through sensitivity analysis.
作者：
NGUYEN, Phuong Minh Binh;DO, Yen Thi;WU, Wann Yih
期刊：
Journal of Asian Finance, Economics and Business,2021年8(6):1091-1099 ISSN：2288-4637
作者机构：
[NGUYEN, Phuong Minh Binh] Department of Hospitality Management, Faculty of Tourism, Van Lang University;[DO, Yen Thi; WU, Wann Yih] Department of Business Administration, College of Management, Nanhua University
关键词：
Social Media;Technology Acceptance Model;Knowledge Sharing Factors;Social Influence Factors
摘要：
The main objective of this study is to investigate the consumers' attitude and intention toward using social media by adopting the Technology Acceptance Model (TAM). This study further develops a comprehensive framework by identifying Knowledge Sharing Factors and Social Influence Factors as moderating variables that influence the relationship of attitude and behavior intention toward using social media. Based on the literature review, a research framework questionnaire is developed and conducted to test the research hypothesis in this study. The questionnaire survey method is employed to collect data from relevant social media, whereby 309 valid responses are used in the analysis. The results reveal that three TAM factors, namely, the impact of perceived usefulness, perceived ease of use, and perceived enjoyment are indeed the antecedents of attitude and behavior intention toward social media adoption. Also, the results indicate that social influence factors (social networking, social norms, and social trusts) and knowledge sharing factors (altruism, expected reciprocal benefit, and expected relationships) have moderating effect on the relationship between attitude and behavior intention toward social media. This research provides a comprehensive framework as important reference for professionals to develop social media marketing plan as well for academicians to conduct further validation.
作者：
Wann-Yih WU;Thi-Yen DO;Phuoc-Thien NGUYEN;Nadia ANRIDHO;Minh-Quan VU
期刊：
Journal of Asian Finance, Economics and Business,2020年7(8):371-381 ISSN：2288-4637
作者机构：
[Phuoc-Thien NGUYEN] Faculty of Economics-Management, Dong Nai Technology University;[Minh-Quan VU] International School, Vietnam National University;[Nadia ANRIDHO] Department of Accountancy, Universitas Airlangga;[Thi-Yen DO] Phd Student, Department of Business Administration, Nanhua University;[Wann-Yih WU] College of Management, Nanhua University
