Search results for "processo"

La vittima nel processo penale: un "personaggio in cerca d'autore"

2012

Nell'occasione della nota vicenda giudiziaria scaturita dall'assassinio di una studentessa inglese in Italia, lo studio, partendo dall'analisi del complesso procedimento penale, si sofferma sul ruolo marginale riservato alla parte civile. Ancora oggi infatti l'unico modo affinché la vittima possa intervenire al processo, come parte, si realizza attraverso la richiesta di danni patrimoniali e non, da "monetizzare". Le critiche alla marginalità della persona offesa, o, come in questo caso, degli aventi diritto, sono nette atteso che il processo è giusto se è luogo di garanzia non solo della persona sottoposta ma anche di chi ha avuto leso un bene giuridico, spesso di massimo valore, come in q…

La parola alla vittima. Una voce in cerca di identità e di "ascolto effettivo" nel procedimento penale

2013

Design, Implementation and Experimental Evaluation of a Wireless MAC Processor over commercial WIFI cards

2014

In this thesis we face the problem of wireless network programmability as a solution for coping with context-dependent optimizations, moving from one-for-all standard solutions to the concept of programmable wireless interfaces. Although the wireless research and academic community has proposed interesting platforms (e.g. based on Software Defined Radio) for pushing forward dynamic reprogrammability of devices, we argue that it is important to identify a tradeoff between programmability space and usability of the programmable interface. In this direction, we introduce the concept of Wireless MAC Processor and developed a running prototype over an ultra-cheap wireless card. Wireless MAC proc…

Enabling Cognitive-Radio Paradigm on Commercial Off-The-Shelf 802.11 Hardware

2013

Cognitive Radio paradigm (CR) has been recognized as key enabler for next generation wireless networking: the pos- sibility to access the limited radio spectrum in an oppor- tunistic manner allows secondary users to boost their trans- mission performance without interfering with existing pri- mary networks. Full testing and experimenting with this paradigm, however, is still a tough task, given either the i) limited capabilities above the PHY layer of cheap SDR so- lutions, or the ii) heavy investment required for setting up multi-node testbeds powered by FPGAs. In this demo we show how we leveraged our Wireless MAC Processor archi- tecture to tackle the two issues at the same time, providi…

"Table 1" of "Determination of $alpha_{s}$ in second order {QCD} from hadronic $Z$ decays"

1992

Experimental differential Thrust distributions.

A New Universal-Environment Adaptive Multi-processor Scheduler for Autonomous Cyber-Physical System

2012

International audience; Robot, spaceship and other applications that can be called autonomous Cyber-Physical Systems (CPS) are all smart embedded systems, which usually run in open environment by themselves with inhered intelligent capabilities. Besides the application intelligence, the researches of adaptive platform for such systems have also become topics recently. Based on the analysis of current work, a new environment adaptive scheduler (¦Á-S) for multiprocessor platform of a cyber-physical system is proposed in this article. And then, its related structures, models, and reasoning methods are studied deeply. Different from the existing ones, ¦Á-S can schedule all tasks according to th…

Preprocessing of region of interest localization based on local surface curvature analysis for three-dimensional reconstruction with multiresolution

2009

We present an approach to integrate a preprocessing step of the region of interest ROI localization into 3-D scanners laser or ste- reoscopic. The definite objective is to make the 3-D scanner intelligent enough to localize rapidly in the scene, during the preprocessing phase, the regions with high surface curvature, so that precise scanning will be done only in these regions instead of in the whole scene. In this way, the scanning time can be largely reduced, and the results contain only per- tinent data. To test its feasibility and efficiency, we simulated the prepro- cessing process under an active stereoscopic system composed of two cameras and a video projector. The ROI localization is…

Embedded multi-spectral image processing for real-time medical application

2016

International audience; The newly introduced Kubelka-Munk Genetic Algorithm (KMGA) is a promising technique for the assessment of skin lesions from multi-spectral images. Using five skin parameter maps such as concentration or epidermis/dermis thickness, this method combines the Kubelka-Munk Light-Tissue interaction model and Genetic Algorithm optimization process to produce a quantitative measure of cutaneous tissue. Up to the present, variant improved KMGA implementations have been successfully realized using the recent parallel computing techniques. However, all these achievements are based on the multi-core CPUs. This results in a quite high cost and low practicability for the hardware …

LDR Image to HDR Image Mapping with Overexposure Preprocessing

2013

International audience; Due to the growing popularity of High Dynamic Range (HDR) images and HDR displays, a large amount of existing Low Dynamic Range (LDR) images are required to be converted to HDR format to benefit HDR advantages, which give rise to some LDR to HDR algorithms. Most of these algorithms especially tackle overexposed areas during expanding, which is the potential to make the image quality worse than that before processing and introduces artifacts. To dispel these problems, we . present a new,LDR to HDR approach, unlike the existing techniques, it focuses on avoiding sophisticated treatment to overexposed areas in dynamic range expansion step. Based on a separating principl…

Scheduling independent stochastic tasks on heterogeneous cloud platforms

2019

International audience; This work introduces scheduling strategies to maximize the expected number of independent tasks that can be executed on a cloud platform within a given budget and under a deadline constraint. The cloud platform is composed of several types of virtual machines (VMs), where each type has a unitexecution cost that depends upon its characteristics. The amount of budget spent during the execution of a task on a given VM is the product of its execution length by the unit execution cost of that VM. The execution lengths of tasks follow a variety of standard probability distributions (exponential, uniform, halfnormal, etc.), which is known beforehand and whose mean and stand…