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.
As many devices equipped with various sensors have recently proliferated, the fusion methods of various information and data from different sources have been studied. Bayesian network is one of the popular methods that solve this problem to cope with the uncertainty and imprecision. However, because a monolithic Bayesian network has high computational and design complexities, it is hard to apply to...
Recently, a lot of the fields such as education, marketing, and design have applied human's emotion stimuli to increase the effectiveness of services as well as user-computer interaction. Predicting the emotion in the field is important to decide relevant stimuli because emotion has the element of uncertainty and is sensitive to sensory stimuli. In this paper, we propose a modular dynamic Bayesian...
A smart home has highly advanced automatic systems for lighting, temperature control, multi-media and many other functions. In the field of intelligent service agents in smart home, the service agent should collect the information using sensors at home such as cameras, temperature sensors and light sensors, and generate agent behaviors appropriate to the user's request. This paper presents a smart...
Smart TV services which have been provided a one-way or simple united content by content business mostly focus on content services. The smart TV contains a variety of functions causes a problem that the user has to learn the functions. To solve this problem, we propose context-aware service in the smart TV using modular Bayesian networks. Bayesian network can be designed by domain knowledge when there...
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.