Multi-agent quality of experience control

In the framework of the Future Internet, the aim of the Quality of Experience (QoE) Control functionalities is to track the personalized desired QoE level of the applications. The paper proposes to perform such a task by dynamically selecting the most appropriate Classes of Service (among the ones supported by the network), this selection being driven by a novel heuristic Multi-Agent Reinforcement Learning (MARL) algorithm. The paper shows that such an approach offers the opportunity to cope with some practical implementation problems: in particular, it allows to face the so-called “curse of dimensionality” of MARL algorithms, thus achieving satisfactory performance results even in the presence of several hundreds of Agents

Multidisciplinary design analysis of a semi-reusable two-stage-to-orbit small payload launch system

This paper contains an analysis of the design trade-ofs for a semi-reusable two-stage to orbit, rocket- powered launch system for small payloads. The system is to be air-launched of a modifed commercial aircraft with a full reusable, flight capable return vehicle. This allows the system to be operational from any suitable space or airport; a increasingly common aim of new, agile launch concepts for small payloads. The system was modelled with a multidisciplinary design optimisation (MDO) framework using two different optimal control solvers: MODHOC, a multi-objective optimiser that combined an evolutionary- based global optimisation together with a collocation-based optimal control solver; and TROPICO, a single-objective optimiser using a direct multi-shooting approach

Multi-objective optimal control of ascent trajectories for launch vehicles

This paper presents a novel approach to the solution of multi-objective optimal control problems. The proposed solution strategy is based on the integration of the Direct Finite Elements Transcription method, to transcribe dynamics and objectives, with a memetic strategy called Multi Agent Collaborative Search (MACS). The original multi-objective optimal control problem is reformulated as a bi-level nonlinear programming problem. In the outer level, handled by MACS, trial control vectors are generated and passed to the inner level, which enforces the solution feasibility. Solutions are then returned to the outer level to evaluate the feasibility of the corresponding objective functions, adding a penalty value in the case of infeasibility. An optional single level refinement is added to improve the ability of the scheme to converge to the Pareto front. The capabilities of the proposed approach will be demonstrated on the multi-objective optimisation of ascent trajectories of launch vehicles

different approaches to ft ir microspectroscopy on x ray exposed human cells

Fourier-Transform Infrared microspectroscopy (μFT-IR) has been usefully applied in the analysis of the complex biological processes occurring during X-ray radiation-cell interaction. Different experimental approaches are available for FT-IR spectra collection (transmission, attenuated total reflection (ATR), and transflection modes) from cells samples. Recently, some problems have been raised about the role of transmitted and reflected components of the infrared beam in transflection mode. For this reason, we investigated two different transflection approaches for collecting spectra from cells exposed to X-ray. In the former approach, cells were grown on MirrIR slides, and for the second approach, cell pellets were prepared. In both cases, SH-SY5Y neuroblastoma cells were used. X-ray exposure was performed at doses of 2 and 4 Gy. Spectra were obtained by using both the approaches in the 600–4000 cm−1 spectral range from exposed and not-exposed samples. The main contributions from proteins, lipids, carbohydrates, and DNA were clearly evidenced in spectra obtained with the two different acquisition approaches. A comparison among them has been also reported

Treatment of pulmonary nodule: from VATS to RATS

The incidental detection of solitary pulmonary nodule (SPN) is currently increasing due to the widespread use of computed tomography (CT) during the follow up in oncological patients or in screening trials. A quick and definitive histological diagnosis of these nodes is mandatory as, in case of primitive lung cancer, an early detection could improve both surgical results and prognosis. The minimally invasive pulmonary resection (MIPR) is the gold standard procedure for diagnosis and treatment of small lung nodules, but it can be difficult to localize deep nonpalpable nodes that lie in the lung parenchyma. Hence, throughout the years several techniques have been developed to better localize deep or sub solid nodes. We describe our experience with radio-guided technique

Memristive Devices for Quantum Metrology

As a consequence of the redefinition of the International System of Units (SI), where units are defined in terms of fundamental physical constants, memristive devices represent a promising platform for quantum metrology. Coupling ionics with electronics, memristive devices can exhibit conductance levels quantized in multiples of the fundamental quantum of conductance G(0) = 2e(2)/h. Since the fundamental quantum of conductance G(0) is related only to physical constants that assume fixed value in the revised SI, memristive devices can be exploited for the practical realization of a quantum-based resistance standard that, differently from quantum-Hall based devices conventionally adopted as resistance standards, can operate in different ambient conditions (air, vacuum, harsh environment), in a wide range of temperatures and without the need of an applied magnetic field In this work, the possibility of using memristive devices for quantum metrology is critically discussed, based on recent experimental and theoretical advances on quantum conductance phenomena reported in literature. Thanks to the high operational speed, high scalability down to the nanometer scale, and CMOS compatibility, memristive devices allow on-chip implementation of a resistance standard required for the realization of self-calibrating electrical systems and equipment with zero-chain traceability in accordance with the revised SI

Un caso di insufficienza renale acuta e miopatia reversibili

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