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L'Accademia ai designer va stretta. La scientificità dei creativi
No full textModalità di comunicazione nel mondo accademico del design attraverso paper, workshop e laborator
Photocurable fluoropolymers improve efficiency and stability of perovskite solar cells
No full textOrganometal halide perovskite solar cells have demonstrated high conversion efficiency but poor long term stability against ultraviolet irradiation and water. We show that rapid light-induced free-radical polymerization at ambient temperature produces multifunctional fluorinated photopolymer coatings that confer luminescent and easy-cleaning features on the front-side of the devices, while concurrently forming a strongly hydrophobic barrier toward environmental moisture on the back contact side. The luminescent photopolymers re-emit ultraviolet light in the visible range, boosting perovskite solar cells efficiency to nearly 19% under standard illumination (Figure 1). Coated devices reproducibly retain their full functional performance during prolonged operation, even after a series of severe aging tests carried out for more than 6 months
Physics-based modeling of FinFET RF variability under Shorted- and Independent-Gates bias
No full textFinFETs operated with varying bias, and in particular with Short-circuited Gates (SG) or Independent Gates (IG), are actively investigated for RF analog applications. The device process variability is known to vary, at least for DC performances, according to the FINFET bias. This paper presents a novel, comprehensive physics-based variability analysis focused on AC parameters for a double-gate (DG) MOSFET (FinFET) both in SG and IG conditions. The analysis is carried out with a numerically efficient Green's Function technique [1], [2], that exploits a nonlinear variability analysis tool in quasi-linear condition. The AC variability analysis of the FinFET includes selected geometrical and physical parameters, such as the fin width, the source/drain-gate distance and the doping level, whose role is especially relevant for the extraction of the device parasitics' variations. We demonstrate that the sensitivity of the AC parameters differs in the IG and SG case, especially concerning gate capacitances
Computer aided diagnosis of Coronary Artery Disease, Myocardial Infarction and carotid atherosclerosis using ultrasound images: A review
No full textThe diagnosis of Coronary Artery Disease (CAD), Myocardial Infarction (MI) and carotid atherosclerosis is of paramount importance, as these cardiovascular diseases may cause medical complications and large number of death. Ultrasound (US) is a widely used imaging modality, as it captures moving images and image features correlate well with results obtained from other imaging methods. Furthermore, US does not use ionizing radiation and it is economical when compared to other imaging modalities. However, reading US images takes time and the relationship between image and tissue composition is complex. Therefore, the diagnostic accuracy depends on both time taken to read the images and experience of the screening practitioner. Computer support tools can reduce the inter-operator variability with lower subject specific expertise, when appropriate processing methods are used. In the current review, we analysed automatic detection methods for the diagnosis of CAD, MI and carotid atherosclerosis based on thoracic and Intravascular Ultrasound (IVUS). We found that IVUS is more often used than thoracic US for CAD. But for MI and carotid atherosclerosis IVUS is still in the experimental stage. Furthermore, thoracic US is more often used than IVUS for computer aided diagnosis systems
Numerical and experimental investigation on a conical poppet relief valve with flow force compensation
No full textNumerical and experimental investigations have been carried out in order to study the effect of the poppet geometry on the flow-pressure characteristic of a direct acting pressure relief valve, which is equipped with a flow deflector for flow force compensation. A dynamic 3D-CFD model was built in ANSYS Fluent™, which is capable of simulating the interaction between the fluid flow and the poppet dynamics by means of mesh deformation and of a user-defined function (UDF). This model was applied to predict the flow-pressure characteristics of the valve for different spring preload settings and deflector geometries. The simulated curves were validated using experimental data acquired at FPRL (Fluid Power Research Laboratory) at the Politecnico di Torino, and an excellent agreement was found. The CFD model was then used to predict the effect of geometric parameters of the poppet, such as the cone angle and the position of the deflector. Finally, a 0D model has been developed in order to predict the flow forces; this model requires very few calibration points using 3D-CFD simulations, and can easily be implemented in lumped parameter simulation tools. It was found that this model leads to a satisfactory prediction of the flow-pressure characteristic of the valve
The normal holonomy of CR-submanifolds
No full textWe study the normal holonomy group, i.e. the holonomy group of the normal connection, of a -submanifold of a complex space form. We show that the normal holonomy group of a coisotropic submanifold acts as the holonomy representation of a Riemannian symmetric space. In case of a totally real submanifold we give two results about reduction of codimension. We describe explicitly the action of the normal holonomy in the case in which the totally real submanifold is contained in a totally real totally geodesic submanifold. In such a case we prove the compactness of the normal holonomy group
Foreword: Special Section on Addressing Signal and Power Integrity in Future Generation Systems—Part 2: Modeling Considerations
No full textLeveraging the Cloud to develop Service Robotics Applications
No full textCloud Robotics is a new research field in robotics. It was first introduced in 2010, and it aims at leveraging internet based technologies to open new possibilities in the development of service robotics applications. Thanks to the cloud, robots can offload part of their computation and storage resources remotely, or can share their knowledge and collaborate with other robots to perform tasks. Hence, Cloud Robotics can push the development of robotics applications to a new level of complexity, and it is a perfect technology to solve common issues in service robotics. However, the cloud introduces new open issues in real applications. This Ph.D. dissertation focuses on the design of general frameworks to enable the development of service robotics applications resorting on the cloud robotics paradigm. This work has been carried out at Politecnico di Torino, in collaboration with Telecom Italia S.p.A. We introduce a Cloud Robotics Platform developed by Telecom Italia, that aims at providing a full infrastructure to develop robotics applications. Then, we present two frameworks to support the development of service robotics applications. Finally, we apply those frameworks to develop two cloud robotics applications that have been tested in real contexts, namely, Robot@CED and PARLOMA. The Robot@CED project aims at developing an autonomous monitoring tool for data center environments, able to automatically inspect data centers rooms with an autonomous robotic platform and inform managers if thermal anomalies occur. On the other hand, PARLOMA aims at developing a telecommunication system for deafblind people, able to transmit information encoded in tactile Sing Languages. As demonstrated by the two applications developed in this work, the Cloud is an enabler for service robotics applications: it opens new technological possibilities to developers and, at the same time, allows producer to develop low cost and general porpoise robotic hardware