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An Improvement on Robust H<SUB>∞</SUB> Control for Uncertain Continuous-Time Descriptor Systems
Hung-Jen Lee,Shih-Wei Kau,Yung-Sheng Liu,Chun-Hsiung Fang,Jian-Liung Chen,Ming-Hung Tsai,Li Lee 대한전기학회 2006 International Journal of Control, Automation, and Vol.4 No.3
This paper proposes a new approach to solve robust H∞ control problems for uncertain continuous-time descriptor systems. Necessary and sufficient conditions for robust H∞ control analysis and design are derived and expressed in terms of a set of LMIs. In the proposed approach, the uncertainties are allowed to appear in all system matrices. Furthermore, a couple of assumptions that are required in earlier design methods are not needed anymore in the present one. The derived conditions also include several interesting results existing in the literature as special cases.
GreenIoT Architecture for Internet of Things Applications
( Yi-wei Ma ),( Jiann-liang Chen ),( Yung-sheng Lee ),( Hsin-yi Chang ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.2
A power-saving mechanism for smartphone devices is developed by analyzing the features of data that are received from Internet of Things (IoT) sensors devices to optimize the data processing policies. In the proposed GreenIoT architecture for power-saving in IoT, the power saving and feedback mechanism are implemented in the IoT middleware. When the GreenIoT application in the power-saving IoT architecture is launched, IoT devices collect the sensor data and send them to the middleware. After the scanning module in the IoT middleware has received the data, the data are analyzed by a feature evaluation module and a threshold analysis module. Based on the analytical results, the policy decision module processes the data in the device or in the cloud computing environment. The feedback mechanism then records the power consumed and, based on the history of these records, dynamically adjusts the threshold value to increase accuracy. Two smart living applications, a biomedical application and a smart building application, are proposed. Comparisons of data processed in the cloud computing environment show that the power-saving mechanism with IoT architecture reduces the power consumed by these applications by 24% and 9.2%.
FROM BUSINESS STRATEGY AND SOCIAL CAPITAL PERSPECTIVE TO TRAVEL AGENCIES’ COMPETITIVE ADVANTAGE
Chih-Hsing Liu,Jeou-Shyan Horng,Sheng-Fang Chou,Yung-Chuan Huang,Bernard Gan,Wei-Long Lee 글로벌지식마케팅경영학회 2018 Global Marketing Conference Vol.2018 No.07
Many firms see organizational learning systems as critical to facilitating competitive advantage. However, until now, few tourism studies have empirically investigated and identified how the different characteristics of highly competitive organizations, such as travel agencies, influence competitive advantage in a dynamic environment. This study uses a mediation-moderation analysis for such an empirical examination. A total of 288 travel agencies from Taiwan were analysed. The authors found that travel agencies’ shared goals may influence competitive advantage through characteristics of dynamic capability development, differential strategy implication and social capital accumulation. Greater levels of organizational learning may positively strengthen the relationships between (a) shared goals and dynamic capability, (b) shared goals and social capital, and (c) social capital and competitive advantage. Implications of these findings for managerial and theoretical frameworks are also discussed.
Tsai Li-Jen,Chung Chi-Hsiang,Lin Chien-Jung,Su Sheng-Chiang,Kuo Feng-Chih,Liu Jhih-Syuan,Chen Kuan-Chan,Ho Li-Ju,Kuo Chih-Chun,Chang Chun-Yung,Lin Ming-Hsun,Chu Nain-Feng,Lee Chien-Hsing,Hsieh Chang-H 한국한의학연구원 2022 Integrative Medicine Research Vol.11 No.2
Background: Diabetic patients are at high risk of developing cancer. Traditional Chinese medicine (TCM) has become increasingly popular as an adjuvant treatment for patients with chronic diseases, and some studies have identified its beneficial effect in diabetic patients with cancer. The purpoes of this study was to outline the potential of TCM to attenuate hospitalization and mortality rates in diabetic patients with carcinoma in situ (CIS). Methods: A total of 6,987 diabetic subjects with CIS under TCM therapy were selected from the National Health Insurance Research Database of Taiwan, along with 38,800 of 1:1 sex-, age-, and index year-matched controls without TCM therapy. Cox proportional hazard analysis was conducted to compare hospitalization and mortality rates during an average of 15 years of follow-up. Results: A total of 3,999/1,393 enrolled-subjects (28.62%/9.97%) had hospitalization/mortality, including 1,777/661 in the TCM group (25.43%/9.46%) and 2,222/732 in the control group (31.80%/10.48%). Cox proportional hazard regression analysis showed a lower rate of hospitalization and mortality for subjects in the TCM group (adjusted HR=0.536; 95% CI=0.367–0.780, P<0.001; adjusted HR=0.783; 95% CI=0.574– 0.974, P = 0.022). Kaplan-Meier analysis showed that the cumulative risk of hospitalization and mortality in the case and control groups was significantly different (log rank, P<0.001 and P = 0.011, respectively). Conclusions: Diabetic patients with CIS under TCM therapy were associated with lower hospitalization and mortality rates compared to those without TCM therapy. Thus, TCM application may reduce the burden of national medical resources.