Abstract
Dynamic (or volatile) network: A network which structure changes over time, some nodes and edges may appear and disappear Local property: A metric that describes a topological aspect on the local neighborhood of a node Structural role: The structural position of a node in the network, characterized by its local properties Transition pattern: A typical role change, characterized by its time interval and by the origin and destination role Definition Many networks are intrinsically dynamic and change over time. These networks can be very volatile, with a significant number of edges and nodes appearing and disappearing. The majority of the existing network mining methodologies are however geared toward a more static scenario, with a single graph describing the topology of the system being analyzed. There is still a need for measurements and tools that allow the temporal dimension on network analysis to be….

Abstract
Within collaborative networks, information sharing and knowledge creation are the main drives for value creation, wherever collaborative spaces (CS) has been used as the means to enable collaboration among the different social actors involved. Despite of technological availability, CS still a challenge in practice, mainly due to the lack of methods to support its development and to its tight coupling with the collaboration model adopted by the network. Thus, the main focus of this paper in on enhancing information sharing through the design of what we call agnostic collaborative spaces (ACS), supported by linked data approaches. Beyond this new perspective over CS, it is discussed a technological solution through which ACS are implemented.

Abstract
New technologies such as Plug-in Electric Vehicles or PEVs bring new trends in areas where multi entities interact. One of these areas is the facilities in cities for better manipulation of technologies. Encouraging the utilization of PEVs necessitates the provision of charging stations. In this regard, PEV Parking Lots (PLs) can be a great help as they can solve both urban and electrical problem of PEVs. On the other hand, gathering numerous PEVs in one point like PLs provides the system operator with the opportunity of PEVs batteries that can be used as potential storages. Therefore, in this paper, the optimum behavior of PEV PLs is modeled while they contribute their batteries' capacity in both energy and reserve market. The charging schedule of PLs with various numbers of stations has been reported as well as their share in the market as an energy source during peak hours.

Abstract
The work presented herein addresses the development, implementation, and evaluation of a new wearable system for monitoring bio-signals and physical human activity, namely for gait analysis and cardiovascular surveillance. It consists of a wearable textile substrate (pantyhose and/or T-shirt) with embedded conductive yarns interconnecting custom electronic devices, in a mesh or other network type, that acquire bio-signals and/or inertial data. All data are aggregated in a central processing module from where they are sent via a wireless link to a mobile phone or personal computer for final processing. The network topology, sensor nodes architecture and results obtained with first prototypes are presented.

Abstract
Local descriptors coupled with robust methods for learning visual dictionaries have been a pivotal tool in computer vision. Although the identification of similar patterns is commonly conducted on some stage of the bag-of-words framework, a prior assessment of spatial local similarities can be indicative of specific objects, and thus improved recognition rates. In this work we delve a function of similarity for enhancing the discriminative power of local constrained SIFT descriptors. Motivated by gastrointestinal images where diagnosis through endoscopy plays a decisive role in cancer detection and resulting prognosis, visual cues in these early stages are slim and of difficult perception. In order to capture these patterns we propose a self-similarity approach (based on a neighbourhood analysis of SIFT descriptors) to assess local variances through a weight function. Based on extensive simulations our approach achieved a performance of 88%: 3% higher than the standard SIFT, 10% higher than Haar wavelet and 13% higher than LBPs.

Abstract
During the last decade wood pellets consumption grew rapidly. In this paper the development of the wood pellet production factors for markets in Germany, Sweden and Portugal are compared. Domestic market prices for pellet production factors as well as domestic market prices for pellets variation are analysed. The analysis are based on two model plants, representing the first common technologies for small scale production based on dry sawdust sources, and the second represents large scale production based on wet materials. The results show how differences in costs of raw materials, energy and labour affects wood pellets production. The economic sustainability for European pellet producers depends on their domestic markets as internationally traded pellets are priced lower than their production costs, being Portugal an exception due to lower labour and raw materials costs. Future pellet production will be based on wet raw materials such as logs and wet sawdust. These raw materials are also demanded by pulp and paper or fiberboard industries. The transition from smaller wood pellets plants using dry raw materials to larger plants using wet raw materials, can be expected to follow comparative advantages regarding raw materials, energy costs and economies of scale.