The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Services are expected to be a promising way for people to use information and computing resources in the emerging ubiquitous network society. In this study, we propose a metaphoric concept called flowable service. It is defined as a logical stream that organizes and provides circumjacent services in such a way that they are perceived by individuals as those naturally embedded in their surrounding...
To realize the integration of the information space and physical space contained man-machine cooperation, auto-adaptation system, and intelligent management of engineering quality, in the construction quality management, this paper proposes a distributed hierarchical context-aware model which is a universal service for construction quality management system. Context-aware technology plays an important...
Pervasive learning is a branch of mobile learning with an emphasis on context-awareness. Pervasive learning spaces (PLSs) create bridges from the real world to the virtual world, allowing the context-sensitive utilization of real-world objects and information in the learning process. Thus far, no model of technology integration for PLSs exists. We present a three-year process during which several...
Service process usually needs to be tailored for reuse because of change of context. In this paper, we present a mining approach to mining process change sequences based on different context using partial derivatives of the factors affecting the change context, thus finding the best feasible sequence.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.