Higher Institute on Territorial Systems for Innovation
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Data mining for energy analysis of a large data set of flats
No full textenergy; statistical analysis; sustainabilit
A customizable virtual reality framework for the rehabilitation of cognitive functions
No full textBrain injury can cause a variety of physical effects and cognitive deficits. Although it has not yet been systematically adopted in clinical settings, virtual reality promises to be an excellent therapeutic tool for regaining both locomotor and neurological capacities. This work presents the design and implementation of VR2 (Virtual Reality Rehabilitation), a customizable rehabilitation framework intended to enable the creation of motivating rehabilitation scenarios based on an ecologically valid semi-immersive system. Following the implementation phase, a study to test the acceptability of VR2 in a group of subjects with cerebral lesions was conducted to investigate the usability of the framework. The group consisted of 11 people from 22 to 70 years of age, who were divided into two groups depending on the chronicity of disorder. The adequacy of the interface between patient and system was verified through questionnaires containing subjective questions, which revealed good overall acceptance and enjoyment of the tool. Moreover, to obtain early results useful for tuning the overall system in preparation for rigorous clinical trials, a set of preliminary cognitive tests concerning the rehabilitation protocol was conducted within the same group. Although the preliminary findings are promising and reveal a positive trend in neurocognitive investigations, the system should undergo clinical trials before being used in real clinical settings
Pedestrian Detection and Tracking
No full textPedestrian detection and tracking constitutes a key element of many intelligent video systems in different application areas, in particular for video surveillance, driving assistance, advanced manufacturing automation, and video indexing and retrieval tasks. Each particular application domain poses significant and, sometimes, different challenges to this task (e.g., applications with static or dynamic cluttered backgrounds, recognition in poor lighting conditions, and occlusion management). For this reason, a considerable amount of literature has been produced in the past to cope with a majority of the given issues. This entry presents the reader with an overview of recent detection and tracking approaches by focusing on their role in computer vision applications, analyzing the associated main challenges, and how they are currently addressed
L'innovazione mancata del Piano dei Servizi lombardo. Alcune considerazioni critiche di riforma
No full textLa L.R. 12/2005 per il Governo del Territorio della Regione Lombardia si trova oggi in un processo organico di revisione che vorrebbe provare a risolvere le problematiche e i nodi critici emersi in maniera evidente nelle sue applicazioni a scala locale . La presente nota si inserisce in tale dibattito attualmente in corso e si pone, pertanto, l'obiettivo di proporre due spunti di riforma a partire dal Piano dei Servizi, il principale strumento di ridisegno del modello di pianificazione lombardo ed innovazione mancata della L.R. 12/200
Modeling, Fabrication and Testing of a Customizable Micromachined Hotplate for Sensor Applications
No full textIn the sensors field the active sensing material frequently needs a controlled temperature in order to work properly. In microsystems technology, micro-machined hotplates represent a platform consisting of a thin suspended membrane where the sensing material can be deposited, usually integrating electrical stimuli and temperature readout. The micro-hotplate ensures a series of advantages such as miniaturized size, fast response, high sensitivity, low power consumption and selectivity for chemical sensing. This work compares the coplanar and the buried approach for the micro-hotplate heaters design with the aim to optimize the fabrication process and to propose a guideline for the choice of the suitable design with respect to the applications. In particular, robust Finite Element Method (FEM) models are set up in order to predict the electrical and thermal behavior of the micro-hotplates. The multiphysics approach used for the simulation allows to match as close as possible the actual device to the predictive model: geometries, materials, physics have been carefully linked to the fabricated devices to obtain the best possible accuracy. The materials involved in the fabrication process are accurately selected in order to improve the yield of the process and the performance of the devices. The fabricated micro-hotplates are able to warm the active region up to 400 °C (with a corresponding power consumption equal to 250 mW @ 400 °C) with a uniform temperature distribution in the buried micro-hotplate and a controlled temperature gradient in the coplanar one. A response time of about 70 ms was obtained on the virtual model, which perfectly agrees with the one measured on the fabricated device. Besides morphological, electrical and thermal characterizations, this work includes reliability tests in static and dynamic modes
On the consolidation of mixed criticalities applications on multicore architectures
No full textIn this paper we propose a hybrid solution to ensure results correctness when deploying several applications with different safety requirements on a single multi-core-based system. The proposed solution is based on lightweight hardware redundancy, implemented using smart watchdogs and voter logic, combined with software redundancy. Two techniques of software redundancy are used: the first one is software temporal triple modular redundancy, used for those tasks with low crit-icality and no real-time requirement. The second software redundancy technique is triple module redundancy for tasks with high criticality and real-time requirements, assisted by a hardware voter. A hypervisor is used to separate each task in the sys-tem in an independent resource partition, thus ensuring that no functional interfer-ence is occurring. The proposed solution has been evaluated through hardware and software fault injection on two hardware platforms, featuring a dual-core processor and a quad-core processor respectively. Results show a high fault tolerance achieved using the proposed architecture
Supporting Web analytics by aggregating user interaction data from heterogeneous devices using viewport-DOM based heat maps
No full textThe players of the digital industry look at network Big Data as an incredible source of revenues, which can allow them to design products, services and market strategies ever more tailored to users' interests and needs. This is the case of data collected by Web analytics tools, which describe the way users interact with Web contents and where their attention focuses onto during navigation. Given the complexity of information to analyze, existing tools often make use of visualization strategies to represent data aggregated throughout separate sessions and multiple users. In particular, heat maps are often adopted to study the distribution of mouse activity and identify page regions that are more frequently reached during interaction. Unfortunately, since Web contents are accessed via ever more heterogeneous devices, region-based heat maps cannot be exploited anymore to aggregate data concerning user's attention, since the same Web content may move to another page location or exhibit a different aspect depending on the access device used or the user agent setup. This paper presents the design of a visual analytics framework capable to deal with the above limitation by adopting a data collection approach that combines information about regions displayed with information about page structure. This way, the well-known heat map-based visualization can be produced, where interactions can be aggregated on a per-element basis independently of the specific access configuration. Experimental results showed that the framework succeeds in accurately quantifying user's attention and replicating results obtained by manual processing