196,288 research outputs found
‘Perdersi in altri corpi’: su "Salva con nome" di Antonella Anedda
No full textIl saggio attraversa il tema della corporeità nell'opera della poetessa Antonella Anedda, con particolare attenzione alla raccolta "Salva con nome
La desaparecida inscripción de consagración de la iglesia de San Miguel de Escalada: un acercamiento prudente
No full textThis article treats the problems arise from the analysis and study of the lost inscription of consecration of the church of San Miguel de Escalada (León
Urban mobility services based on user virtualization and social IoT
No full textSmart cities are characterized by smart heterogeneous devices that can interact and cooperate with each other by exchanging regularly low amounts of data in the context of IoT. Lately, there has been an increasing interest in enhancing the IoT paradigm to support exchange of multimedia data. This paper focuses on the concept of Urban Mobility Services and in particular on proposing a solution to enable best QoS and load balance in a 5G network context. The paper introduces a novel algorithm for MobilIty Services uSer vIrtualizatiON (MISSION). MISSION employs cloud computing and broadcast of multimedia content in order to reduce the network load, the number of interactions, and user device energy consumption. It also relies on rating of network reputation in the 5G heterogeneous network environment and performing network selection in the quest to maximize QoS parameters. The performance of the proposed solution is compared against that of a TraffictYpe-based DifferEntiated Reputation (TYDER) algorithm. This performance was evaluated in terms of QoS parameters such as delay, latency, packet loss and prediction error. The results show how MISSION outperforms TYDER in urban mobility scenario
Optimal location of resources and Steiner symmetry in a population dynamics model in heterogeneous environments
No full textThe subject of this paper is inspired by Cantrell and Cosner (1989) and Cosner, Cuccu and Porru (2013). Cantrell and Cosner (1989) investigate the dynamics of a population in heterogeneous environments by means of diffusive logistic equations. An important part of their study consists in finding sufficient conditions which guarantee the survival of the species. Mathematically, this task leads to the weighted eigenvalue problem in a bounded smooth domain , , under homogeneous Dirichlet boundary conditions, where and . The domain represents the environment and , called the local growth rate, says where the favourable and unfavourable habitats are located. Then, Cantrell and Cosner (1989) consider a class of weights corresponding to environments where the total sizes of favourable and unfavourable habitats are fixed, but their spatial arrangement is allowed to change; they determine the best choice among them for the population to survive.
In our work we consider a sort of refinement of the result above. We write the weight as sum of two (or more) terms, i.e. , where and represent the spatial densities of the two resources which contribute to form the local growth rate . Then, we fix the total size of each resource allowing its spatial location to vary. As our first main result, we show that there exists an optimal choice of and and find the form of the optimizers. Our proof relies on some results in Cosner, Cuccu and Porru (2013) and on a new property (to our knowledge) about the classes of rearrangements of functions. Moreover, we show that if is Steiner symmetric, then the best arrangement of the resources inherits the same kind of symmetry. (Actually, this is proved in the more general context of the classes of rearrangements of measurable functions
Photovoltaic spectroscopy of exciton structures in Zn(1-x)Cd(x)Se/ZnSe multiple quantum wells
No full textUsing user's position to improve video multicast subgrouping in 5G NR
No full textThis paper addresses the use of machine learning techniques for the determination of subgroups within 5G networks. Currently, the burden of determining the subgroups falls uniquely on the gNB. The aim of this work is to lighten the computation burden of the gNB in estimating the evaluation of the position and mobility of users, with the ultimate aim of determining the optimal modulation and coding scheme (MCS). This work proposes an innovative approach based on machine learning techniques that are interposed among user and gNB, helping the latter to determine the network configuration. The results obtained show how direct communication between UEs and neural network speeds up the determination of the MCS and the allocation of resources to subgroups within 5G technology
Nuclear Magnetic Resonance of 129Xe and 1H as a probe for the characterization of void space in human myoglobin isoforms in solution
No full textThermodynamics of optically assisted desorption of oxygen from TiO2 nanoparticle surface
No full textThe thermodynamics of oxygen desorption from TiO2 crystals under steady
light excitation is investigated. The non-equilibrium photo-induced processes
are explicitly accounted for by considering the rate of entropy
production. The adsorption/desorption properties of oxygen on anatase
nanocrystals are investigated as a function of the pressure of the experimental
room and a generalized Langmuir–Fowler equation is obtained for the
case of photo-assisted surface processes. The kinetic scheme used for this
study involves color centers and surface centers on the Ti3C sites. In particular,
oxygen depletion is forced by recombinations of electrons trapped
in bonding sites and holes trapped in color centers (FC centers)
Additive Logarithmic Weighting for Balancing Video Delivery over Heterogeneous Networks
No full textThe demand of media delivery services has increased with the popularity of social media and with the evolution of the user's devices (i.e., smartphones, laptops, and tablets) pushing towards new contents distribution models. The coexistence of go-live and on-demand media content requires a combined broadcast/unicast delivery model with the efficient management of the wireless access as a key issue. A twofold target needs to be reached: optimizing the load balance among coexisting networks and offering adequate quality of service (QoS) to users. To achieve this target for mobile video service delivery over heterogeneous networks (HetNet) scenarios, this paper proposes a solution based on an additive logarithmic weighting (ALOW) algorithm combining received signal power, network load, packet delay, user's equipment, and user's credit budget. ALOW is optimized by means of a cooperative game theory (GATH) approach. The proposed solution, named ALOWGATH (i.e., ALOW + GATH), has been tested on realistic HetNet scenarios and compared to the state of the art of the network selection and balancing algorithms. Results show an improved performance in terms of throughput, satisfaction index and overall video quality delivered, with reduced computational complexity
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