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.
Mobile app testing and evaluation requires exposing the app to a wide array of real world context conditions viz. location, sensor values, network conditions etc. Such comprehensive context conditions are difficult to create in a development environment on a real device, therefore, simulating them in a mobile emulator is a promising alternative. We present ContextMonkey, a framework for context generation...
Big Data Era brings two main dimensions, which are heterogeneity and contextual data. The heterogeneity may occur at syntax and semantic levels. Ontologies are largely used to reduce these heterogeneities. Data has limited value if not paired with its context. Usually the internal data of companies are not connected to the rest of data universe including news, weather, user profiles, etc. In Engineering...
We present an approach to accurately simulate the temporal behavior of binary embedded software based on timing data generated using static analysis. As the timing of an instruction sequence is significantly influenced by the mi-croarchitecture state prior to its execution, which highly depends on the preceding control flow, a sequence must be separately considered for different control flow paths...
The aim of this work is to propose four methods for composer classification in symbolic data based on melodies making use of the Prediction by Partial Matching (PPM) algorithm, and also to propose data modeling inspired on psycho physiological aspects. Rhythmic and melodic elements are combined instead of using only melody or rhythm alone. The models consider the perception of pitch changing and note...
Pervasive healthcare systems facilitate various aspects of research including sensor technology, software technology, artificial intelligence and human-computer interaction. Researchers can often benefit from access to real-world data sets against which to evaluate new approaches and algorithms. Whilst more than a dozen data sets are currently publicly available, their use of heterogeneous mark-up...
The diversity of terminals used by the user to access resources (personal digital assistant, mobile phone, etc.) using several types of networks (wireless, local, etc.) generates a growing need to adapt services dynamically to the user's context. In this article, we present our architecture that aims at adapting content and presentation of services to the user's context. We realize the content adaptation...
This paper describes the IDEF1 information modeling technique, its key concepts, modeling approach, rules, and graphical notation. A step-by-step example is presented, which illustrates use of IDEFl as a conceptual database development tool. The example demonstrates the four phases of IDEFl model development, concentrating on the modeling process and its application to a typical information modeling...
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.