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Zi-Xing Liu,Zi-Yun Wang,Yan Wang,Zhi-Cheng Ji 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.6
To manage the state estimation and fault-diagnosis problem of linear discrete uncertain systems with time delay, a state estimation and fault-diagnosis algorithm based on an improved zonotopic Kalman filter is proposed under the assumption that the process interference and measurement noise of the systems are unknown but bounded. First, zonotopes are used to contain the nonzero initial conditions of the system with time delay, and an optimal zonotopic Kalman filter is designed by using an iterative replacement method to determine the relationship between the current time and the delayed time. Subsequently, the optimal observer gain of the optimal zonotopic Kalman filter is designed by minimizing the size of the zonotopic sets to estimate the state sets. Next, the fault occurrence is detected by determining whether the true output value of the system is within the upper and lower bounds of the estimated output value, and the fault identification process is completed by the matching probability of the fault type. Finally, the fault-diagnosis of a numerical system, and the pitch system of a wind turbine are used as examples to demonstrate the effectiveness and feasibility of the proposed method for systems with time delay by analyzing the fault diagnosis results. A comparison with a normal fault-matching method indicates that the proposed fault-diagnosis algorithm is more rapid in fault identification.
Yan Zi,Song Chengcheng 서울대학교 사회발전연구소 2021 Journal of Asian Sociology Vol.50 No.3
The twenty-first century witnessed dramatic changes in family structure, demographics, and values in East Asian societies. However, little is known about how gender role attitudes influence values toward caring for older adults among contemporary East Asian societies. By using individual-level data from the 2012 China General Social Survey, the 2012 Japan General Social Survey, and the 2012 Korean General Social Survey, this study sheds light on how adult children (aged 20-60) think about caring for older adults in a context of changing family structure, demographics, and social norms. Binary logistic regression estimation results reveal that, first, compared with Japan, traditional filial piety was less eroded in China and South Korea. Second, gender role attitudes play a significant role in adult children’s values toward caring for older adults, especially among Japanese adult children; maintaining traditional gender role attitudes would intensify adult children’s familial filial piety. Third, compared with men, women are less likely to prefer individual and family as caregivers for their older parents.
Yan Hua Wang,Jing Lv,Yan Feng,Bo Wen Dai,Cheng Wang,Jing Wu,Zi Yan Chen 국제구조공학회 2021 Smart Structures and Systems, An International Jou Vol.28 No.2
Substructure pseudo-dynamic hybrid simulation (SPDHS) is an advanced structural seismic testing method which combines physical experiment and numerical simulation. Generally, the key components which display nonlinearity first are taken as experimental substructures for actual test, and the remaining parts are modeled in simulation. Model updating techniques can be effectively applied to enhance the model precision of nonlinear numerical elements. Specifically, the constitutive model of the experimental substructure is identified online by the instantaneously-measured data, and the corresponding numerical elements with similar hysteretic behaviors are updated synchronously. Artificial neural network (ANN) can recognize the system which cannot be represented by definite numerical model, and thus avoids the structural response distortion caused by the inherent numerical model defects. In this study, a framework for online model updating in SPDHS with ANN method is expanded to implement actual test validation. Moreover, the effectiveness of ANN method is demonstrated by practical tests of a two-story frame model with bending dampers. Additionally, the unscented Kalman filter technique and offline ANN identification approach are both examined in the test validation. The experimental results show that, under the identical loading history, the online ANN method can significantly reduce the model errors and improve the accuracy of SPDHS.
Research on the Use Behavior of BIM Information Technology in the Context of Smart City Construction
Yan-Yan Li,Zi-Yang Liu,Mei-Ying Niu 사회혁신기업연구원 2023 혁신기업연구 Vol.8 No.2
With the development of the new round of technological revolution, the intelligent city construction background, vigorously promote the intelligent construction of this innovative development model has become inevitable. In particular, the use of new BIM technology in the construction industry can realize the management of the whole life cycle of the project, thus improving the overall productivity and management level of the construction industry. However, the adoption and utilization of BIM in the construction industry is still low at this stage, which seriously hinders the construction and development of smart cities. So effectively grasping the reasons for the poor utilization of information technology in the construction industry has become a key concern for the construction industry. Based on this, this study takes a user resistance perspective to explore the factors influencing employees' usage behaviors by using Chinese construction workers as the respondents. The results show that there is a significant relationship between perceived switching costs, perceived switching benefits and dispositional resistance to change and a negative relationship between dispositional resistance to change and adoption intentions, and verify that negative emotions mediate the relationship between perceived switching costs, perceived switching benefits and dispositional resistance to change. In-depth analysis of the formation mechanism of user boycott is helpful for managers to formulate targeted preventive measures and then accelerate the construction of smart cities.
( Zi Yan ),( Bonnie G. Berger ),( David A. Tobar ),( Bradley J. Cardinal ) 한국스포츠정책과학원(구 한국스포츠개발원) 2015 International Journal of Applied Sports Sciences Vol.27 No.1
Background. People exercise for different reasons. Reasons for exercise may influence exercise behavior via influencing important psychological factors of habitual exercisers, exercise enjoyment, and self-efficacy. The aim of this study was to explore how different reasons for exercise are associated with exercise enjoyment and self-efficacy by males and females from differing cultural backgrounds. Method. Undergraduate students from a midwest university in the United States (males = 42, females = 171, age M = 21.68 years) and a national university in China (males = 64, and females = 149, age M = 21.47 years) participated in the study. Reasons for exercise, exercise enjoyment, and exercise self-efficacy were measured by questionnaire. Results. Individuals who exercised for non-appearance based reasons reported higher levels of exercise enjoyment compared to students who exercised for appearance based reasons, and this finding was irrespective of cultural background or gender. Women who exercised for mood alteration reasons reported higher self-efficacy compared to women who exercised for other reasons. In addition, gender and cultural differences were related to reasons for exercise and self-efficacy. Conclusion. Understanding exercise participants`` reasons for exercise and how these relate to their exercise enjoyment and self-efficacy may help to foster greater rates of physical activity participation.
Ren, Zi Yan,Zhang, Dian Hai,Pham, Minh Trien,Koh, Chang Seop Trans Tech Publications, Ltd. 2012 Materials science forum Vol.721 No.-
<P>A novel reliability calculation algorithm is developed and applied to a robust optimization of electromagnetic device with uncertain design variables taken into account. The proposed algorithm, to calculate the reliability of a given design, incorporates sensitivity analysis based on finite element method with Monte Carlo simulation (MCS) method so that it has higher numerical efficiency than conventional methods: MCS and first-order reliability methods. Through numerical examples, its applicability to a reliability-based robust optimal design of electromagnetic device is demonstrated.</P>
Du, Zi-Yan,Shi, Min-Hua,Ji, Cheng-Hong,Yu, Yong Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.4
Aims: Pleiotrophin (PTN), an angiogenic factor, is associated with various types of cancer, including lung cancer. Our aim was to investigate the possibility of using serum PTN as an early indicator regarding disease diagnosis, classification and prognosis, for patients with non-small cell lung cancer (NSCLC). Methods: Significant differences among PTN levels in patients with small cell lung cancer (SCLC, n=40), NSCLC (n=136), and control subjects with benign pulmonary lesions (n=21), as well as patients with different pathological subtypes of NSCLC were observed. Results: A serum level of PTN of 300.1 ng/ml, was determined as the cutoff value differentiating lung cancer patients and controls, with a sensitivity and specificity of 78.4% and 66.7%, respectively. Negative correlations between serum PTN level and pathological differentiation level, stage, and survival time were observed in our cohort of patients with NSCLC. In addition, specific elevation of PTN levels in pulmonary tissue in and around NSCLC lesions in comparison to normal pulmonary tissue obtained from the same subjects was also observed (n=2). Conclusion: This study suggests that the serum PTN level of patients with NSCLC could be an early indicator for diagnosis and prognosis. This conclusion should be further assessed in randomized clinical trials.
Yan-chao Wang,Jin-miao Lu,Hui-zi Jin,Ai-niu Ma,Jin-yang Zhang,Nian Gong,Qi Xiao,Bin Zhu,Ying-fang Lv,Na Yu,Wei-dong Zhang,Yong-xiang Wang 한국영양학회 2014 Nutrition Research and Practice Vol.8 No.2
BACKGROUND: Groundwater is believed to possess many beneficial effects due to its natural source of various minerals. In this study, we examined the effects of natural Jeju groundwater S1 (SamdasooTM), S2 and S3 pumped up from different locations of Jeju Island, Korea, along with local tap water, on body weight gain, serum lipids and lipoproteins, and liver histopathology in high-fat diet-induced hyperlipidemic rats. MATERIALS/METHODS: Rats were randomly and equally divided into 6 groups. Different water samples were supplied to the hyperlipidemic rats as their daily drinking water and the widely-used anti-hyperlipidemic drug simvastatin was used as a positive control. Body weight, serum lipids and lipoproteins were measured weekly. Liver weight, liver index and liver histopathology were examined after the execution of the rats. RESULTS: After drinking Jeju groundwaters for two months, S2 but not S3 significantly reduced weight growth and serum triglycerides levels and increased high density lipoprotein-C (HDL-C) without affecting total cholesterol or LDL-C. S1 and particularly S2 significantly reduced the severity of liver hypertrophy and steatosis. All Groundwaters had much higher contents of vanadium (S3>S2>S1>>tap water) whereas S1 and S2 but not S3 markedly blocked autoxidation of ferrous ions. CONCLUSION: Jeju Groundwater S1 and particularly S2 exhibit protective effects against hyperlipidemia and fatty liver and hypothesize that the beneficial effect of Jeju Groundwaters may be contributed from blockade of autoxidation of ferrous ions rather than their high contents of vanadium.