Context Aware

Currently, power systems (PS) already accommodate a substantial penetration of DG and operate in competitive environments. In the future PS will have to deal with large-scale integration of DG and other distributed energy resources (DER), such as storage means, and provide to market agents the means to ensure a flexible and secure operation. This cannot be done with the traditional PS operation. SCADA (supervisory control and data acquisition) is a vital infrastructure for PS. Current SCADA adaptation to accommodate the new needs of future PS does not allow to address all the requirements. In this paper we present a new conceptual design of an intelligent SCADA, with a more decentralized, flexible, and intelligent approach, adaptive to the context (context awareness). Once a situation is characterized, data and control options available to each entity are re-defined according to this context, taking into account operation normative and a priori established contracts. The paper includes a case-study of using future SCADA features to use DER to deal with incident situations, preventing blackouts.

This paper describes a location – aware enhancement of a learning environment supported by mobile devices. Such an extension is proposed in order to facilitate the learning process and to provide a solid framework for introducing a more situative approach to learning and teaching into an everyday classroom experience. Introducing location sensing into an existing system creates a framework not only to determine students' locations in a learning environment but to introduce context – awareness and location -awareness into the learning process as well. What is more, location – awareness is a solid base for numerous services in a modern – mobile device supported learning environment since looking into the summary data on students' locations gives a better insight into their habits and needs, both individual and within a group. It is our belief that location – awareness presents a significant step towards creating a learning environment even more oriented to students and their n...

Chronic diseases are one of the principal causes of mortality in the globe. This dramatic health status conducts many researchers to investigate and explore new solutions using the advantages of mobile health technology. For that reason, we propose an adaptive, context-aware and low-cost intelligent solution, providing a real-time alert system and an efficient management of critical cases. This paper stands for a state of art of mobile health proposed solutions managing this kind of diseases. It leads to a new approach in medical mobile application's design based on patient's needs, health professional's concerns, and other solution’s lacks. Our new platform's design can be considered as a novel intelligent mobile assistant for chronic diseases.

Modern personalized information systems have been proven to support the user with information at the appropriate level and in the appropriate form. In specific environments like museums and exhibitions, focusing on the control of such a system is contradictory to establishing a relationship with the artifacts and exhibits. Preferably, the technology becomes invisible to the user and the physical reality becomes the interface to an additional virtual layer: by naturally moving in the space and/or manipulating physical objects in our surroundings the user will access information and operate the virtual layer. The LISTEN project is an attempt to make use of the inherent “everyday” integration of aural and visual perception, developing a tailored, immersive audio-augmented environment for the visitors of art exhibitions. The challenge of the LISTEN project is to provide a personalized immersive augmented environment, an aim which goes beyond the guiding purpose. The visitors of the museum implicitly interact with the system because the audio presentation is adapted to the users’ contexts (e.g. interests, preferences, motion, etc.), providing an intelligent audio-based environment. This article describes the realization and user evaluation of the LISTEN system focusing on the personalization component. As this system has been installed at the Kunstmuseum Bonn in the context of an exhibition comprising artworks of the painter August Macke, a detailed evaluation could be conducted.

The idea of ubiquitous learning is to create a network of devices, people and situation that allows learning experiences to play out. This idea is attractive but it is not easily implemented. The GlobalEdu is a ubiquitous learning architecture integrated in ISAM, a software architecture that manages a large-scale pervasive environment. This paper presents a context-aware model implemented in GlobalEdu. Especially, we present the context management educational service and its interface with a pedagogical agent. A scenario application will be present too

Existing driving behaviour models have a strong emphasis on the driver's cognitive components including aspects such as motivation, risk assessment, attention, compensation, capability, workload, individual traits and experience. Each existing model was designed specifically for a particular driving situation such as speeding or fatigue. A general and comprehensive model is still unavailable despite 60 years of research on the topic. No consensus has been reached mainly due to the inability to generalize, operationalise and validate these subjective cognitive models in real driving conditions. This paper defines a framework for a new context aware driving behaviour model capable of predicting driver's behaviour. This approach broadens the cognitive focus of existing driving behaviour models to integrate contextual information related to the vehicle, environment, driver and the interactions between them. The theoretical model is an information processing, probalistic based ...

Automatic classification of everyday activities can be used for promotion of health-enhancing physical activities and a healthier lifestyle. In this paper, methods used for classification of everyday activities like walking, running, and cycling are described. The aim of the study was to find out how to recognize activities, which sensors are useful and what kind of signal processing and classification is required. A large and realistic data library of sensor data was collected. Sixteen test persons took part in the data collection, resulting in approximately 31 h of annotated, 35-channel data recorded in an everyday environment. The test persons carried a set of wearable sensors while performing several activities during the 2-h measurement session. Classification results of three classifiers are shown: custom decision tree, automatically generated decision tree, and artificial neural network. The classification accuracies using leave-one-subject-out cross validation range from 58 to 97% for custom decision tree classifier, from 56 to 97% for automatically generated decision tree, and from 22 to 96% for artificial neural network. Total classification accuracy is 82% for custom decision tree classifier, 86% for automatically generated decision tree, and 82% for artificial neural network

We are in the midst of an explosion of emerging human- computer interaction techniques that redefine our understanding of both computers and interaction. We propose the notion of Reality-Based Interaction (RBI) as a unifying concept that ties together a large subset of these emerging interaction styles. Based on this concept of RBI, we provide a framework that can be used to understand, compare, and relate current paths of recent HCI research as well as to analyze specific interaction designs. We believe that viewing interaction through the lens of RBI provides insights for design and uncovers gaps or opportunities for future research.

In most of today's campus-like learning settings, students are frequently confronted with e-learning systems that do not only deliver and display learning content, but are equipped with a number of integrated tools for file sharing, communication, personalisation (personal annotations, text marking, etc) and cooperation. However, recent observations show that these functions are rarely used. One reason for not using the technological opportunities for informal communication and interaction is the poor design of such ...