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With the increasing stress and unhealthy lifestyles in people's daily life, mental health problems are becoming a global concern. In particular, mood related mental health problems, such as mood disorders, depressions, and elation, are seriously impacting people's quality of life. However, due to the complexity and unstableness of personal mood, assessing(More)
Understanding the relationship between sleep and daily life can provide insights into a healthy life style since the sleep quality is one of the most important indicators of people's health status. This paper studies the extent to which a per-son's sleep quality can be predicted by his/her daily context information. A combination of the machine learning(More)
—We propose a service-oriented web application framework named iWeb, which enables web application adap-tive to both context and QoS. In iWeb, a context model is established and context information is collected systematically according to the context model. An innovative service selection approach based on context and QoS is proposed in the framework as the(More)
Linked Open University Data applies semantic web and linked data technology to university data scenario, aiming at building inter-linked semantic data around university information, providing possibility for unified inner-and inter-school information query and comparison. This paper proposes a general process of building linked open university data, with(More)
The People's Republic of China has nearly the highest incidence of both diabetes mellitus (DM) and tuberculosis (TB) worldwide. DM increases the risk of TB by two to three times and adversely affects TB treatment outcomes. The increasing epidemic of DM in the People's Republic of China is due to decreased physical activity, unhealthy diet, and obesity. Over(More)
Traditional robot calibrations implement model-based and modeless methods. The calibration of position error in model-based method implements four steps: kinematic model definition of the robot, measurement process of the robot's positions, identification of the kinematic model of the robot and compensation of the position errors. This method is both time(More)