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Thanks to the proliferation of mobile technologies that enable devices to use the network for providing (publish) or requiring (subscribe) information according to specific applications aims, the Internet of Things (IoT) can be considered as the biggest challenge that the industry is currently facing. During the last years several application domains for IoT have emerged and among these the Smart...
The great expansion of the Internet of Things in every aspect of daily life requires expertise and considerable skills in different fields and at different levels to create ad-hoc applications, and deliver suitable user experience. Developers have to deal with heterogeneous technologies, communication formats and protocols. They, in general, ask for new solutions that speed up the prototyping of applications,...
The world of education is changing substantially to satisfy new needs requested both from teachers and students. A very important role in this changing process is played by emerging hi-technologies, such as mobile phones, tablet computers, Collaborative Virtual Environments (CVE), and auto-identification (Auto-ID) solutions (e.g. QR code, RFID, NFC). Several attempts to renovate traditional classrooms...
We describe an agent based approach to control a heterogeneous and dynamic device ensemble. The resulting controller provides pro-active assistance to the users of the environment. For this, roles defining the functionality are attached to dynamically constructed agents. Those roles are assigned based on the current situation, that is the accessible state of all devices and the currently assigned...
Ambient Intelligence systems use many sensors and actuators, with a diversity of networks, protocols and technologies which makes it impossible to access the devices in a common manner. This paper presents the HomePort software, which provides an open source RESTful interface to heterogeneous sensor networks, allowing a simple unified access to virtually any kind of protocol using well known standards...
We present and discuss a context aware publish subscribe system. This allows for efficient communication between different components within distributed environments. For this we introduce context-awareness into the subscription handling. Our middleware allows to attach context properties to event subscriptions. Only if those properties are satisfied by the current state of the world, the events are...
The need to prolong the ability for older adults to live at home independently has become an important area of smart environment research. In this proposal, we demonstrate a web-based visualization system (CASASviz) that integrates monitoring, analysis, and automated recognition of residents behavior patterns in smart environments. In our data collection module, we collect real sensor data from the...
The following topics are dealt with: pervasive computing; context reasoning; quality of service; mobile peer-to-peer computing; ubiquitous communication; social networking; pervasive learning; health care; wireless sensor network; middleware; pervasive wireless networking; smart environment; and World Wide Web.
One of most perspective techniques for sensing in ubiquitous computing systems is neural networks. In this paper we describe features of usage of neural networks in ubiquitous computing and its implementation for solving of some tasks in middleware ubiquitous computing system for smart environment.
In order to screen heterogeneity of sensor hardware and support rapid development of applications in context-awareness, the idea of middleware is widely adopted. In this paper, the middleware is proposed to support the application development of context- awareness under the new-type networks environment represented by wireless sensor networks. It applies the updated service-oriented and light-weight...
Automatically determining the situation of an ad-hoc group of people and devices within a smart environment is a significant challenge in pervasive computing systems. Current approaches often rely on an environment expert to correlate the situations that occur with the available sensor data, while other machine learning based approaches require long training periods before the system can be used....
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