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In this paper we propose a modulated laser system combining a speckle pattern tracking method for surface tilting changes sensing with an interferometer for surface z-axis changes sensing at the same scan time.
The implementation of a simple, inexpensive optical device for remote fingerprint identification is presented. The sensor is based on temporal tracking of back-reflected secondary speckle patterns generated while illuminating a finger with a laser.
Interconnection networks must meet the communication demands of current High-Performance Computing systems. In order to interconnect efficiently the end nodes of these systems with a good performance-to-cost ratio, new network topologies have been proposed in the last years that leverage high-radix switches, such as Slim Fly. Adversarial traffic patterns, however, may reduce severely the performance...
Comprehensive Geriatric Assessment (CGA) is a multidimensional and multidisciplinary diagnostic instrument that helps provide personalized care to the elderly, by evaluating their physical and mental state. In a social and economic context of growing ageing populations, medical experts can save time and effort if provided with interactive tools to efficiently assist them in doing CGAs, managing standardized...
Data acquisition systems for large-scale high-energy physics experiments have to handle hundreds of gigabytes per second of data, and are typically implemented as specialized data centers that connect a very large number of front-end electronics devices to an event detection and storage system. The design of such systems is often based on many assumptions, small-scale experiments and a substantial...
As scientific data analysis applications become more and more complex, there is a great need to simplify the definition and execution of such applications, particularly when dealing with large datasets. The Data Mining Cloud Framework (DMCF) is a system allowing domain experts to design and execute complex data analysis workflows on cloud platforms, relying on cloud storage services for every I/O...
Plasmons - collective oscillations of electrons in conducting materials - have provided the tools to engineer artificial structures capable of manipulating light over wide spectral and spatial ranges. The emergence of exfoliated 2D materials as excellent plasmonic systems has open new possibilities to explore optical phenomena at atomic scales and their applications in light modulation, sensing, and...
The use of adaptive traffic lights controllers represents an affordable approach to improve vehicular traffic conditions. In isolated intersections or local areas with a limited number of traffic lights, numerous works from the related open literature have achieved excellent results in key performance metrics. Nevertheless, an urban network environment poses important challenges for adaptive control,...
The remarkably-high intrinsic optical nonlinearity of graphene can be pushed even further when the optical frequency is tuned to plasmon resonances hosted by the material when it is doped [1-4]. Atomistic simulations provide an accurate description of these phenomena, although their computational cost is prohibitive for large graphene nanostructures [3, 4]. An alternative formalism consists in relying...
Plasmons — the collective electron excitations in conducting materials-provide interesting research avenues into fundamental phenomena. They are also instrumental in applications to ultrasensitive optical detection, biosensing, spectral photometry, light harvesting, photocatalysis, quantum optics, nonlinear photonics, and metamaterials. Recent developments in this field focus on the consequences of...
High-harmonic generation (HHG) is an extreme nonlinear optical phenomenon that is traditionally realized by driving atomic gases with intense ultrashort optical pulses, and usually relies on bulky laser amplification schemes to reach the enormous requisite electric field intensities. The realization of efficient HHG in solid-state systems is anticipated to pave the way for compact ultraviolet and...
Plasmons provide excellent sensitivity to detect analyte molecules through their strong interaction with the dielectric environment. Plasmonic sensors based on noble metals are, however, limited by the spectral broadening of these excitations. Here we identify a new mechanism that reveals the presence of individual molecules through the radical changes that they produce in the plasmons of graphene...
Electro-optical modulation of visible and near-infrared light is important for a wide variety of applications, ranging from communications to sensing and smart windows. However, currently available approaches result in rather bulky devices, suffer from low integrability [1], and can hardly operate at the low power consumption and fast switching rates of microelectronic drivers. Here we show that planar...
Plasmons-the collective oscillations of electrons in conducting materials-play a pivotal role in nanophotonics because of their ability to couple electronic and photonic degrees of freedom. In particular, plasmons in graphene-the atomically thin carbon material-offer strong spatial confinement and long lifetimes, accompanied by extraordinary optoelectronic properties derived from its peculiar electronic...
The economic impact of forecasting errors in the residual demand curves of the secondary regulation reserve market is analysed in the context of the operation of a closed-loop and daily-cycle pumped-storage hydropower plant. The plant participates in the day-ahead energy market as a price-taker and in the secondary regulation reserve market as a price-maker. The secondary regulation energy due to...
To meet the communication expectations of the future, mobile networks need to evolve quicker than ever toward systems with ultra-low latency, huge traffic volume and higher data rates. Cloud-enabled radio systems have been introduced as a promising solution to meet these demands with the help of network functions virtualization techniques and network edge processing capabilities, which allow for increased...
Robotics is part of K12 curricula in different subjects and countries because it is exciting and formative. To teach, the teacher and the school need a laboratory with robots, and this is a challenge because they are not cheap and they need to be maintained. In this scenario the use of a remote lab for robotics is a good solution. There are several remote labs for robotics, the main advantage of RoboBlock...
Experimentation is crucial in science teaching at any education level. Students' motivation and collaborative work are also essential in order to achieve positive learning outcomes. This article portrays the implementation of remote experimentation using VISIR in a Physics subject at high-school level. Qualitative and quantitative data were analyzed for this particular case study in order to shed...
This paper aims at introducing the first intensive use of a remote lab named as VISIR by lecturers and students from Facultad de Ciencias Exactas, Ingeniería y Agrimensura, Universidad Nacional de Rosario. The research was carried under the VISIR + project. It is a pilot test in which 17 students from the third year of an Electronic Engineering degree took part. The pilot test was developed in order...
The learning of Physics involves building up and using lab experiments. In turn, teachers must be trained in experimenting and using several resources that enable them to design valuable teaching strategies and learning activities. Thanks to Information and Communication Technologies (ICT), virtual and remote labs can provide a framework where physical experiments can be developed. Altough remote...
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