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ATLAS is a general purpose particle physics experiment located on the LHC collider at CERN. The ATLAS Trigger system consists of two levels, the first level (L1) implemented in hardware and the High Level Trigger (HLT) implemented in software running on a computing cluster of commodity CPUs. The HLT reduces the trigger rate from the 100 kHz L1 accept rate to 1 kHz for recording, requiring an average...
We present the experimental activity on the development of a Fiber Bragg Grating (FBG) strain sensor for volcano monitoring. We produced and tested a prototype of FBG strain sensor, with a high resolution and accuracy in static measurements and with a low-cost readout system. Here we present the results of a field campaign with a preliminary single-axis FBG strain sensor prototype on Mt. Etna, which...
The GAP project aims at the deployment of Graphic Processing Units (GPU) in real-time applications, ranging from online event selection (trigger) in high-energy physics experiments to medical imaging reconstruction. The final goal of the project is to demonstrate that GPUs can have a positive impact in sectors different for rate, bandwidth, and computing intensity. The relevant aspects under study...
We describe a pilot project for the use of GPUs (Graphics Processing Units) in online triggering applications for high energy physics experiments. Two major trends can be identified in the development of trigger and DAQ systems for particle physics experiments: the massive use of general-purpose commodity systems for data acquisition, such as commercial multicore PC farms, and the reduction of trigger...
In this paper, fuel cell — based hybrid power supplies for household appliances are addressed. The profile of residential power consumption is evaluated during working, non-working days in both summer and winter periods. The worst-case load power demand is therefore highlighted. A 5kW Nuvera PowerFlow proton exchange membrane fuel cell for household appliances is tested. On the basis of the characterization...
This paper presents a novel approach to detect traversable and non-traversable regions of the environment from a depth image that could enhance mobility and safety of mobile robots through integration with localization, control and planning methods. The proposed system is based on Principal Component Analysis (PCA). PCA theory provides a powerful means to analyze 3D surfaces widely used in computer...
One of the most important challenges facing the entire globe is the trend towards an aging population. By 2045, there will be more people over 60 years old than younger than 15, thus raising from 600mln to 2bln worldwide. This will raise the number of patients with age-specific, chronic and degenerative diseases (e.g. cardio-vascular, cancer, diabetes, Alzheimer's, Parkinson's). Minimally-invasive...
The Brazilian Telehealth initiative enables videoconferencing, diagnosis and formative second opinion, continuous and permanent education and web conferencing, by linking university and teaching hospitals via RNP (Rede Nacional de Ensino e Pesquisa), Brazil's national research and education R&E network. It operates two significant national projects: The Telemedicine University Network, RUTE (Rede...
Future mobile robots will have to explore larger and larger areas, performing difficult tasks, while preserving, at the same time, their safety. This will primarily require advanced sensing and perception capabilities. In this respect, laser range sensors represent a feasible and promising solution that is rapidly gaining interest in the robotics community. This paper describes recent work of the...
This paper introduces two analytical matrix descriptions of the differential eigenvalue problem concerning each admissible posture of a two-link flexible manipulator. In the hypothesis of the Euler-Bernoulli beam theory, analytical natural frequencies and mode shapes are derived through both formulations, which are obtained according to an axial and transverse dynamic characterization of the manipulator...
In this paper we present a report on the data quality of a medical database containing clinical and administrative data from hospitals and private clinics in the Bologna district area. In particular, we have analyzed the database according to several data quality dimensions, identifying a number of issues (e.g., inaccuracies and incompleteness) that we have systematized and described in this work.
We consider and analyze a scheme for the reset of a M times N planar array of inductively coupled Josephson flux qubits. We prove that it is possible to minimize the resetting time of an arbitrary chosen row of qubits by properly switching on and off the coupling between pairs of qubits belonging to the same column. In addition, the analysis of the time evolution of the array allows us to single out...
The implementation of more and more efficient nanodevices exploitable in applicative contexts like for example quantum computers often requires a highly challenging miniaturizing process aimed at packing a huge number of point-like basic elements whose dynamics mimics indeed that of a qubit. Stimulated by such a requirement, over the last few years theoretical schemes using the language of the spin...
This manuscript describes an experimental study aimed at determining the existence and the correlation between physiological human performance within the field of heavy goods vehicles and absorbed whole-body vibrations. The reaction times obtained have been compared to those published in open literature and interesting discrepancies and findings have been obtained; the discrepancies are due to the...
Representing the content relations in multimedia data plays a crucial role for the delivery of information navigation services. However, current tools for information extraction and visualisation are still far to be satisfactory. This paper addresses this task providing an unsupervised framework for graph-based multimedia news content representation. The system uses hybrid clustering and a graph partitioning...
This demonstration concerns a system designed and implemented to automatically build multimodal aggregations of informative news items coming from the two domains of digital television and the Web. Though in recent times several technological solutions have addressed the problem of clustering online articles, little is available which is capable of integrating these two sources of information. The...
The non-Markovian correlated projection operator technique is applied to the model of a central spin coupled to a spin bath through non uniform XX Heisenberg coupling. The second order results of the Nakajima-Zwanzig and of the time-convolutionless methods are compared with the exact solution considering a fully polarized initial bath state.
We derive the master equation of a system of two coupled two state systems by taking into account their interaction with two independent bosonic baths [1]. Important features of the dynamics are brought to light, such as the stationary state at general temperatures and the behaviour of the entanglement at zero temperature, presenting the phenomena of sudden death and sudden birth as well as the presence...
Nowadays, the global diffusion of the Internet is enabling the distribution of informative content through dynamic media such as RSS feeds and blogs. At the same time, the decreasing cost of electronic devices is increasing the pervasive availability of the same informative content in the form of digital audiovisual items. Hence, efficient and low-cost solutions for semantic aggregation of heterogeneous...
Broadcast news segmentation is a recognised important task in audiovisual archives retrieval systems. Though research is very active in the field, the problem has not been satisfactorily solved yet. This paper presents a promising novel methodology at segmenting news programmes based on a probabilistic approach, and innovative evaluation framework to assess the performance of the proposed techniques...
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