With the acceleration of global aging, the service of the aged has been widely concerned by the whole society. The traditional service mode has been challenged, and it is difficult to meet the needs of the aged. In order to provide better services for the aged, the construction of emotional intelligent service based on Internet of things is proposed in this article. First, the framework is introduced, and the architecture of the whole system is given. Second, the key technologies of emotional intelligence and Internet of things are described, which mainly include affective computing and data collection of Internet of things. Third, the implementation of the software and hardware is given, and the core functional modules are analyzed. As a whole, there are two main contributions of this article. One is to give the framework of emotional intelligence service system for the aged based on Internet of things, and the other is to analyze the emotional state and the physical data of the aged so that the early-warning and intelligent services can be provided for them.
The evaluation of drugs is a professional and time consuming process which involves a series of clinical trials and evidence-based verifications. However, an innovative drug may still suffer from unpredictable risks after coming into market due to the complex circumstances in practical utilization. Owing to the popularization of information networks and social media, big data analytics exhibits a new perspective of social evaluation as the supplementary means on this issue. This paper designed a Hadoop platform for data collection and processing, and explored the social evaluation of innovative drugs based on big data analytics. Through the analysis of mined data and affective computing on online comments, a new Chinese drug extracted from marine organisms can be evaluated comprehensively by the proposed method. Furthermore, the potential utilization of fullerene materials may be considered for improving its curative effects. Research work of this paper provides a big data analytics method for social evaluation of innovative drugs as well as their promising improvements.
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