388 research outputs found
Achievable Secrecy Rates of an Energy Harvesting Device
The secrecy rate represents the amount of information per unit time that can
be securely sent on a communication link. In this work, we investigate the
achievable secrecy rates in an energy harvesting communication system composed
of a transmitter, a receiver and a malicious eavesdropper. In particular,
because of the energy constraints and the channel conditions, it is important
to understand when a device should transmit and to optimize how much power
should be used in order to improve security. Both full knowledge and partial
knowledge of the channel are considered under a Nakagami fading scenario. We
show that high secrecy rates can be obtained only with power and coding rate
adaptation. Moreover, we highlight the importance of optimally dividing the
transmission power in the frequency domain, and note that the optimal scheme
provides high gains in secrecy rate over the uniform power splitting case.
Analytically, we explain how to find the optimal policy and prove some of its
properties. In our numerical evaluation, we discuss how the maximum achievable
secrecy rate changes according to the various system parameters. Furthermore,
we discuss the effects of a finite battery on the system performance and note
that, in order to achieve high secrecy rates, it is not necessary to use very
large batteries.Comment: Accepted for publication in IEEE Journal on Selected Areas in
Communications (Mar. 2016
On the uncertainty quantification of the unsteady aerodynamics of 2D free falling plates
The 2Dfree fall cards immersed in a fluid was studied using a numerical approach. The motion is characterized by the fluid-body interaction. The model's predictions were validated using experimental and numerical data available in literature. The fillet radius of the plate was considered a random variable characterized by a uniform PDF introducing uncertainties in plate's trajectory. The analysis was focused on finding the median trajectory and error bar for a CI of 95% for tumbling and flutteringope
Achievable Secrecy Rates of an Energy Harvesting Device with a Finite Battery
In this paper, we investigate the achievable secrecy rates in an Energy Harvesting communication system composed of one transmitter and multiple receivers. In particular, because of the energy constraints and the channel conditions, it is important to understand when a device should transmit or not and how much power should be used. We introduce the Optimal Secrecy Policy in several scenarios. We show that, if the receivers demand high secrecy rates, then it is not always possible to satisfy all their requests. Thus, we introduce a scheme that chooses which receivers should be discarded. Also, we study how the system is influenced by the Channel State Information and, in particular, how the knowledge of the eavesdropper's channel changes the achievable rates
Development of New 3D Pixel Sensors for Phase 2 Upgrades at LHC
We report on the development of new 3D pixel sensors for the Phase 2 Upgrades
at the High-Luminosity LHC (HL-LHC). To cope with the requirements of increased
pixel granularity (e.g., 50x50 or 25x100 um2 pixel size) and extreme radiation
hardness (up to a fluence of 2e16 neq cm-2), thinner 3D sensors (~100 um) with
electrodes having narrower size (~ 5 um) and reduced spacing (~ 30 um) are
considered. The paper covers TCAD simulations, as well as technological and
design aspects relevant to the first batch of these 3D sensors, that is
currently being fabricated at FBK on 6-inch wafers.Comment: 4 pages, 8 figures, 2015 IEEE Nuclear Science Symposium and Medical
Imaging Conferenc
Developing HIV-1 Protease inhibitors through stereospecific reactions in protein crystals
Protease inhibitors are key components in the chemotherapy of HIV infection. However, the appearance of viral mutants routinely compromises their clinical efficacy, creating a constant need for new and more potent inhibitors. Recently, a new class of epoxide-based inhibitors of HIV-1 protease was investigated and the configuration of the epoxide carbons was demonstrated to play a crucial role in determining the binding affinity. Here we report the comparison between three crystal structures at near-atomic resolution of HIV-1 protease in complex with the epoxide-based inhibitor, revealing an in-situ epoxide ring opening triggered by a pH change in the mother solution of the crystal. Increased pH in the crystal allows a stereospecific nucleophile attack of an ammonia molecule onto an epoxide carbon, with formation of a new inhibitor containing amino-alcohol functions. The described experiments open a pathway for the development of new stereospecific protease inhibitors from a reactive lead compound
BIOMECHANICAL ANALYSIS OF THREE DIFFERENT BLOCKING FOOTWORK TECHNIQUES IN VOLLEYBALL: A PILOT STUDY
The purpose of this study was to analyse three different blocking footwork techniques in volleyball. In particular the attention was focused on the correlation between anthropometric and kinematic parameters. Three female athletes playing in the first national league were recruited for a pilot study. Bosco tests were executed to have a morphological classification. A stereophotogrammetric system was used to acquire three blocking footwork techniques: slide step, running and jab cross over patterns. Parameters of interest included the blocking time, the jump height, the horizontal and vertical speed of the centre of mass, the frontal position of the body with respect to the net and the invasion angle of the hands over the net. A correlation between jump height and blocking time was observed only in the running step technique. The time of centre of mass maximum speed was significantly less for the jab cross-over step technique. The most effective blocking technique for every athlete was finally obtained
Miracle: the multi-interface cross-layer extension of ns2
We present Miracle, a novel framework which extends ns2 to facilitate the simulation and the design of beyond 4G networks. Miracle enhances ns2 by providing an efficient and embedded engine for handling cross-layer messages and, at the same time, enabling the coexistence of multiple modules within each layer of the protocol stack. We also present a novel framework developed as an extension of Miracle called Miracle PHY and MAC. This framework facilitates the development of more realistic Channel, PHY and MAC modules, considering features currently lacking in most state-of-the-art simulators, while at the same time giving a strong emphasis on code modularity, interoperability and reusability. Finally, we provide an overview of the wireless technologies implemented in Miracle, discussing in particular the models for the IEEE 802.11, UMTS and WiMAX standards and for Underwater Acoustic Networks. We observe that, thanks to Miracle and its extensions, it is possible to carefully simulate complex network architectures at all the OSI layers, from the physical reception model to standard applications and system management schemes. This allows to have a comprehensive view of all the interactions among network components, which play an important role in many research areas, such as cognitive networking and cross-layer design
Relevance of the cell neighborhood size in landscape metrics evaluation and free or open source software implementations
Landscape metrics constitute one of the main tools for the study of the changes of the landscape and of the ecological structure of a region. The most popular software for landscape metrics evaluation is FRAGSTATS, which is free to use but does not have free or open source software (FOSS). Therefore, FOSS implementations, such as QGIS’s LecoS plugin and GRASS’ r.li modules suite, were developed. While metrics are defined in the same way, the “cell neighborhood” parameter, specifying the configuration of the moving window used for the analysis, is managed differently: FRAGSTATS can use values of 4 or 8 (8 is default), LecoS uses 8 and r.li 4. Tests were performed to evaluate the landscape metrics variability depending on the “cell neighborhood” values: some metrics, such as “edge density” and “landscape shape index”, do not change, other, for example “patch number”, “patch density”, and “mean patch area”, vary up to 100% for real maps and 500% for maps built to highlight this variation. A review of the scientific literature was carried out to check how often the value of the “cell neighborhood” parameter is explicitly declared. A method based on the “aggregation index” is proposed to estimate the effect of the uncertainty on the “cell neighborhood” parameter on landscape metrics for different map
Compact Quantum Random Number Generator with Silicon Nanocrystals Light Emitting Device Coupled to a Silicon Photomultiplier
A small-sized photonic quantum random number generator, easy to be implemented in small electronic devices for secure data encryption and other applications, is highly demanding nowadays. Here, we propose a compact configuration with Silicon nanocrystals large area light emitting device (LED) coupled to a Silicon photomultiplier to generate random numbers. The random number generation methodology is based on the photon arrival time and is robust against the non-idealities of the detector and the source of quantum entropy. The raw data show high quality of randomness and pass all the statistical tests in national institute of standards and technology tests (NIST) suite without a post-processing algorithm. The highest bit rate is 0.5 Mbps with the efficiency of 4 bits per detected photon
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