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Taichung, Taiwan

In wireless environments, data broadcast can offer unlimited mobile users up-to-date and shareable information in the meantime. Traditional schemes favor popular queries and thus sacrifice unpopular queries. This paper considers a broadcast scheduling problem, minimizing the worst access time for both popular and unpopular queries. Five useful heuristics and one anomaly are discovered, by which we can deal with this NP-hard problem properly. In our findings, the problem can be solved optimally if mobile users' access patterns present in some particular forms. Three algorithms are proposed and their near-optimality is shown in the experimental results. © 2012 Elsevier Inc. All rights reserved.


The purpose of this research is to explore people's intention to use telecare and evaluate the degree of influence that behavioral factors on individuals' acceptance of telecare. The subjects are residents of Taiwan. The Structural Equation Modeling (SEM) technique was used to analyze the forecasting model applied to telecare. The results show that this model has good explanatory power for the behavioral intentions of using telecare. Among factors influencing the behavioral intentions of using telecare, the strongest factor is attitude, followed by the perceived usefulness, the perceived ease of use, subjective norms, and personal innovativeness, respectively. The findings of this study may serve as a reference to future studies. © 2013 Elsevier Ltd.


Huang J.-C.,Hungkuang University
Computers in Biology and Medicine | Year: 2011

As a superiority to conventional statistical models, grey models require only a limited amount of data to estimate the behaviour of unknown systems. Grey system theory can be used in the effective factor assessment, and used in large samples where data are not available or uncertain whether the data was representative. Therefore, the purpose of this study was to adopt grey system theory to discuss older adult users opinions on the telecare and its effect on their quality of life. This study surveyed the older adult users of Taiwan as subjects. User perception of the telecare services was collected via face-to-face interview. The grey system theory was used to examine the model. The results showed that the overall living quality has the greatest effect on the perceived effects of the telecare on their quality of life, followed by the acquisition of information, accessibility of medical care services, and safety. This finding may serve as a reference to future studies and it also shows that the grey system theory is a feasible analysis method. © 2011 Elsevier Ltd.


In this study, angiotensin I-converting enzyme (ACE) inhibitory peptides, which had previously been identified in an active gelfiltration fraction from tuna cooking juice, were examined for the stability of their inhibitory properties and composition changes during processing and in the presence of gastrointestinal proteases. Results indicated that ACE inhibitory peptides reserved almost the same composition before and after various temperatures (20-100 °C), levels of pressure (50-300 MPa) and pH (2-10) treatments. ACE inhibitory peptides retained 95-99% activity after simulated digestion. High Performance Liquid Chromatography (HPLC) chromatograph peptide mappings exhibited slight differences before and after temperature (100 °C), pressure (300 MPa) and pH (2, 10) treatments. Our results indicate that tuna cooking juice-derived ACE inhibitory peptides possess some degree resistance to the influence of temperature, pressure, pH treatments, and gastrointestinal proteases. © 2010 Elsevier Ltd. All rights reserved.


In this article, I extend Balkhi ((2001), 'On a Finite Horizon Production Lot Size Inventory Model for Deteriorating Items: An Optimal Solution', European Journal of Operational Research, 132, 210-223), by considering a generalised mathematical production-inventory model for deteriorating items with partial backlogging. The demand, production and backlogging rates are assumed to be continuous and varying with time. The objective is to find the optimal production restarting and stopping time to keep the total relevant cost as low as possible. To ascertain the optimal solution exists, the conditions for the total relevant cost in the system which attains its global minimum are provided. In addition, based on the minimum total relevant cost, an alternative among the proposed four cases is also suggested. Finally, a numerical example and sensitivity analysis is illustrated and some management insights are presented. © 2011 Taylor & Francis.

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