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发布时间: 2016-04-06 浏览次数: 103

2016年4月11日(周一) 下午1:30—地点:旭日楼306室Part I: The Internet of  Things (IoT) allows objects to be sensed and managed over the networks, which  creates opportunities for more direct integration between the physical world and  computer-based systems. People-centric sensing or social sensing transforms how  we sense the world. Today, social sensing (e.g., mobile apps) complements  physical sensing (e.g., IoT) by substantially extending the horizon we know  about the world in real time. We discuss how we can integrate physical and  social sensing to enable better and smarter services. We use city mobility  services to demonstrate the potential of the proposed integration.  Part II: Assessing  service quality proves very subjective, varying with objectives, methods, tools,  and areas of assessment in the service sector. Customers’ perception of services  usually plays an essential role in assessing the quality of services. Mining  customers’ opinions in real time becomes a promising approach to the process of  capturing and deciphering customers’ perception of their service experiences. We  first discuss a big data-mediated approach and system that facilitates  capturing, understanding, and evaluation of customers’ perception of provided  services in real time. We will explain a big data based frameworkin support of  data retrieving, aggregations, transformations, and visualizations by focusing  on public ratings and comments from different data sources. An implementation  with smart evaluation services using the US higher education services as an  examplewill be mainly presented.We will also discuss how the proposed approach  can be adopted in enhancing applications used in thepatient-centric healthcare  service community.  Biography