Existing processes for patients' vital data collection require a great deal of labor work to collect, input and analyze the information. These are usually slow error-prone, introducing latency that prevents real-time accessibility. This scenario restrains clinical diagnostics monitoring capabilities. We propose solution automate this process by using ¿sensors¿ attached existing medical equipments inter-connected exchange service. The proposal is based on concepts utility computing wireless...

With the growing number of mobile devices receiving daily notifications, it is necessary to manage variety information produced. New smart are developed every day with ability generate, send, and display messages about their status, data, other devices. Consequently, notifications received by a user increasing tolerance may decrease in short time. this, develop management system notification controls. In this context, work proposes alert called PRISER. Its focus on profiles environments,...

In this work, we introduce a middleware for grid computing that supports network of sensors, like in management environment. We present its features, such as manageability, data communication, services directory, resources discovery and security; discuss about inherent problems, and; propose solutions.

Privacy control and management in ubiquitous environments is not a trivial task.Especially heterogeneous with different criteria parameters related to communication, devices, users, features of the environment itself.This work presents study algorithms that best fit criteria, parameter, information for treatment data privacy based on user's history environment.For this, prototype adapted UbiPri middleware was developed necessary characteristics historical called UbiPri-His.They were tested,...

This paper presents the development of a control system for learning environments specialized in special education. Amongst its various possible uses, focuses on managing class attendance education students, teachers and other classroom users through use pervasive ubiquitous technologies. For developing tests obtaining results, electronic devices that monitor environment were used, particular, SunSpot devices. These nodes detect store environmental data an omnipresent distributed database....

The identification of users in pervasive and ubiquitous environments can be performed using various devices techniques, among which the use wireless sensor networks (WSN), radio frequency identifiers (RFID), Smartphones, Bluetooth, others. However, it is necessary to implement management techniques control privacy these heterogeneous environments. Thus, we a study artificial neural order perform processing information identified only generating an output Percontrol.

Due to the nature of ubiquitous systems, nodes (e.g., Sensors) are frequently prone failures. Such systems must, therefore, present self-healing capabilities in order detect failures and make necessary adjustments prevent their impact on applications. In such a context, this work proposes new flexible unreliable failure detector, denoted as Impact detector (FD), for system environments. The output FD concerns confidence whole. By expressing relevance each node by an factor value well margin...

Delay or Disruption Tolerant Networks (DTN) are characterized by long delays and intermittent connectivity, requiring efficient energy consumption for increasing the mobile nodes lifetime. The movements of modify network topology, changing number connection opportunities between nodes. This paper proposes a new technique saving on DTN using trajectory inference model powered machine learning techniques. objective this work is to reduce mobility prediction method. Experimental results...

Mobile grid environments can be broadly divided into two different types of configurations. In the first case, devices are used as interfaces. second configuration, mobile considered to resources. However, interaction between and wired networks still has overcome several difficulties before it produce an operational infrastructure, in either type configuration. Examples these challenges include submission distributed applications execute tasks a coordinated manner, frequent disconnections,...

Opportunistic Networks are able to exploit social behavior create connectivity opportunities.This paradigm uses pair-wise contacts for routing messages between nodes.In this context we investigated if the "six degrees of separation" conjecture small-world networks can be used as a basis route in Networks.We propose simple approach that outperforms some popular protocols simulations carried out with real world traces using ONE simulator.We conclude static graph models not suitable underlay...

Control and data management in ubiquitous environments is not a trivial activity owing to the heterogeneity of users, applications devices, required exchange information. However, various problems have been found literature with regard privacy information related used environments. This paper offers solution by means statistical classification algorithms that can be for control management. On basis tests, it proved possible manage providing definitions variables parameters

Context-aware applications are capable of recognizing environmental changes and adapting their behavior to the new context. This process can be divided into three stages: monitoring, context recognition adaptation. On monitoring layer, raw information about environment is collected from sensors. The layer processes data acquired transforms it which useful for adaptation process. With this information, system determine what correct application in each different paper proposes a server called...

Social urban sensing is a new paradigm which exploits human-carried or vehicle-mounted sensors to ubiquitously collect data for large-scale sensing. A challenge of such scenario how transmit sensed in situations where the networking infrastructure intermittent unavailable. In this context, paper outlines our researches novel engine that uses Opportunistic Networks underlie transmission social applications. It applies Situation awareness, Fuzzy logic and Machine Learning approaches perform...

With the perspective of ubiquitous computing becoming more common form technology in our everyday lives, increasing dependency on these systems will require them to be always available, failure-free, fully operational and safe. They also enable activities carried out provide new opportunities for solving problems. In view potential offered by challenges it raises, this work proposes a self-healing architecture support applications aimed at healthcare The goal is continuously reliable...

In this article, we describe a grid of sensors to collect patients' vital data and allow real time monitoring patients in heath-care centres. We analyse the problem scenario identify components involved towards construction an integrated homogeneous management system. Finally, present case study demonstrate applicability our approach

Social urban sensing is a new paradigm which exploits human-carried or vehicle-mounted sensors to ubiquitously collect data for large-scale sensing. A challenge of such scenario how transmit sensed data in situations where the networking infrastructure intermittent unavailable. In this context, paper outlines early stages our research concerned with novel engine that uses Opportunistic Networks underlie transmission social applications. It applies Situation awareness, Neural...

Social urban sensing is a new paradigm which exploits humancarried or vehicle-mounted sensors to ubiquitously collect data for large-scale sensing. A challenge of such scenario how transmit sensed in situations where the networking infrastructure intermittent unavailable. In this context, paper outlines our researches on an engine that uses Opportunistic Networks underlie transmission social applications. It also applies Situation awareness, Fuzzy Logic and Neural perform routing, adaptation...

This paper presents the results regarding a technique that can be used as an underlying mechanism for situation prediction. We analysed hybrid neural network called Multi-output Adaptive Neural Fuzzy Inference System (MANFIS) and compared its predictive ability with Multi-Layer Perceptron (MLP). The demonstrate that, depending on application, use of networks considered to good approach prediction, when combined other techniques.Key words: situation, context, networks, MANFIS.