The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This work deals with the problem of developing embedded multi-core systems, under time-to-prototype and high performance constraints, by exploiting reconfigurable logic. In particular, the paper focuses on the early analysis activities, performed by means of native simulation technologies, and then on the full development of an embedded multi-core platform composed of four LEON3 soft-processors and...
Automatic Dependant Surveillance — Broadcast (ADS-B) is becoming of widespread use in modern Air Traffic Management system. Extending the capacity of a stand-alone ADS-B receiver system into a centralised ADS-B one, with multiple remote receivers, and a centralised processor that merges data, might be one of key factors in the future of next generation systems for both commercial, UAV and civil aviation...
Manufacturing companies need to acquire, analyze and share large amounts of information and data to sustain competitive advantage in complex environments. In the context of complex manufacturing, an increasing number of devices, sensors and people are connected to internal networks dramatically changing the ability to generate, communicate, share and access data. Therefore, the data volume has become...
This paper discusses the role of computer vision to bridge the experiential gap between the cultural and emotional experience of the visitors in museums or cultural heritage sites. We don't argue against the use of multiple sensors to provide a more complete cultural experience but claim the primary role of computer vision for such a task. Although many research challenges are still far to be solved...
In Industry 4.0 the optimal allocation of a pool of available workers is a very important issue. Solving this problem can improve the performance of the company and the life of workers with positive returns on productivity. Moreover, from a computational perspective, this problem is extremely interesting because it could have a combinatorial explosion and become very hard to solve. In this paper,...
A novel nanophotonic platform with a footprint of approximately 1 μm for label-free detection of protein biomarkers is reported in this paper. The platform has been designed by Finite Element Method simulations. The device target application is the early diagnosis of cardiovascular diseases by the fast analysis of a drop of blood. In particular, the biosensor has been designed for the detection (in...
Smartphones are used in the framework of the FARSEEING-InChianti study to gain information on activities of daily living and define objective physical activity profiles. In this study we aimed to investigate the association between mean and extreme values of physical activity and gait characteristics derived from daily living activities and well-established clinical tools. 171 older adults from the...
The paper investigates the possibility or realizing a low-cost gas sensor based on graphene. The gas sensor is realized by means of a microstrip-like circuit where the sensing area is a gap between two copper electrodes, filled by few layer graphene nanoplatelets. Graphene nanoplatelets are here obtained through a solvent-free procedure, from thermal expansion of intercalated graphite, followed by...
Physical inactivity significantly impacts personal health, reduces quality of life, and often leads to mobility disorders, diabetes, and cardiovascular disease. Monitoring daily life activities by means of wearable inertial sensors can provide valuable feedback necessary to improve the quality of daily life and prevent the development of mobility disorders caused by physical inactivity. In this study,...
A neural network inverse procedure has been proposed to solve the Moving Vector Hysteron Model identification. Using the analytic modified Preisach model, a multilayer perceptron neural network is firstly trained to associate the direct relationship among the model parameters and the hysteretic behavior of the material to be modeled both in case of scalar and rotational magnetization. The neural model...
One of the main disabling features of Parkinson's disease (PD) is bradykinesia. Usually, bradykinesia is clinically assessed through the performance of an extremely simple motor task: the finger tapping task. This motor test correlates with the extent of loss of dopaminergic neurons in the substantia nigra, which is responsible for the triggering of Parkinson's disease (PD) and for the subsequent...
Social networking services gain more often interest for research goals in several fields and applications thanks to the big amount of data that users daily post on them. Knowledge that has accumulated in the social sites enables to catch the reflection of real world events. In this work we present a general framework for event detection from Twitter. The framework aims to collect tweets related to...
In the last years, many research projects have focused on the design of complex Building Management Systems (BMSes) aiming at materializing the Smart Buildings vision. Unfortunately, multi-user management is not totally supported in modern BMSes, multi-tenant implications have not been adequately investigated and also some other issues remain unsolved in state-of-the-art approaches. For instance,...
Localization services within Ambient Assisted Living systems often require expensive phases of environment setup and devices calibration/configuration. This research aims to propose innovative methodologies and tools able to keep such phases as simple as possible, looking for low complexity as well as low cost approaches. Localization and tracking techniques that exploit Wireless Sensor Network (WSN)...
Propagation of surface waves in extrinsic silicene is scrutinized, using time dependent density functional theory in linear response regime. Collective charge density oscillations are predicted to occur at energies ranging from a few meV to some eV. These oscillations are analogous to the extrinsic plasmon modes of monolayer graphene, which are generated by two different types of charge carriers,...
The “City of Kerpen” is a rural administration unit of eleven villages near Cologne, Germany. With its 64,000 inhabitants, this region has been strongly dominated by surface mining of brown coal and the generation of electricity burning this fossil energy source in huge power plants. This is going to change dramatically. After having founded municipal utilities which own the majority of the power...
Low-cost carbons derived from recycled materials have been gaining attention recently for their potentials as filler in composites and in other applications. Biochar is one such carbon produced from the pyrolysis of biomasses or other biogenic wastes. In this work, biochar and activaed biochar were used as filler (20 wt%) to produce Epoxy resin-based composites. The activated biochar (12.5 wt%) was...
The use of cloud services is typically regulated by a Service Level Agreement (SLA) that defines the specific parameters of the service that will be provided by a Cloud Provider. The ability of users to negotiate a SLA that meets their requirements is a key issue in cloud computing. In this paper, we illustrate an approach for allowing users to specify their requirements and preferences over these...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.