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Project report on mobile computing

WPF Mobile Computing

the college CyberDesk system consists of five main components: a queen Registry, information services, figure 7. The Registry maintains a list of components in the system and the interfaces that each supports. An Integrator, and a user interface. When the user enters the kitchen, for example, create and display a list of recipes that can be made with available ingredients and knowing what kind of food the user likes View important report reminders and notes. We have used the CyberDesk inferencing engine to create a mobile scenario as well. Type converters, user creates a rich contact entry. With a few extensions. He may be provided with the following list of suggestions: Obtain a list of fridge items At mealtime, it behaves similarly to the system previously described,

Project report on mobile computing

So, he selects the phone number and mailing address lookup service ( Figure 6 ). He then creates a new entry in the contact manager with this new information. Figure 6. Resources and References The CyberDesk project is aimed at providing a software architecture that dynamically integrates software modules. This integration is driven by a user's context, where context includes the user's physical, social, emotional, and mental (focus-of-attention) environments. The type converters accept announced data from the system and convert it recursively to other forms of data that may be useful (e.g. a string being converted to a URL). The Integrator uses the Registry to automatically find matches between user data and the services that can use the data, a task that would normally be performed by the system designer. There hasn't been a lot of work in the area of context-aware computing, mainly due to the fact that there was not enough hardware infrastructure to support and create a compelling application. Figure 2. Content of User's E-mail Message. The user is interested in the research discussed, highlights the URL in the message, and CyberDesk offers the following suggestions through its interface ( Figure 3 search for the selected text using AltaVista, find pages that reference this URL using AltaVista, and display the URL in Netscape. These extensions include the addition of context types (user position, identification of others in the environment, identification of objects in the environment) and allowing the user to be mobile, using either a series of networked wall-based displays mounted in various rooms or a device the user can carry. We are using face recognition to identify the primary user and others in the room. We use an infrared positioning system to track both users and the wireless mobile computing devices. For example, when Switchboard is given a name, it returns a phone number and mailing address. When WhoWhere is given a name, it returns a corresponding e-mail address. The extension we made to CyberDesk takes advantage of these services, by automatically feeding these services with captured context and using the returned data as additional context. More recent work has dealt solely with knowledge of the information a user is attending to: OpenStep's notion of facilities 2, Apple Data Detectors 3, and Intel's Selection Recognition Agent 9.

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Project report on mobile computing
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