Abstract

Abstract
An interferometric Fabry-Perot cavity based on hollow-core ring photonic crystal fiber combined with a silicone diaphragm is proposed for low pressure sensing. The sensor exhibits a sensitivity of 0.086 nm/mmHg for a pressure range between 0 and 337.5 mmHg. These values are in the range of physiological pressures, such as intravascular pressure. (C) 2014 Wiley Periodicals, Inc.

Abstract
This paper presents ES-SQL, an embedded tool for visually constructing queries over spreadsheets. This tool provides an expressive query environment which has knowledge on the business logic of spreadsheets, and by this knowledge it assists the user in defining the intended queries.

Abstract
Field experiments with a team of heterogeneous robots require human and hardware resources which cannot be implemented in a straightforward manner. Therefore, simulation environments are viewed by the robotic community as a powerful tool that can be used as an intermediate step to evaluate and validate the developments prior to their integration in real robots. This paper evaluates a novel multi-robot heterogeneous cooperative perception framework based on monocular measurements under the MORSE robotic simulation environment. The simulations are performed in an outdoor environment using a team of Micro Aerial Vehicles (MAV) and an Unmanned Ground Vehicle (UGV) performing distributed cooperative perception based on monocular measurements. The goal is to estimate the 3D target position.

Abstract
This paper proposes a new methodology for the generation of quadrature amplitude modulation signals, based on all-optical processing from nonlinear interferometric devices. The degradation of the systems performance is numerically analyzed, as a function of operational parameter's unbalance and physical impairments of the system. The results shows that the probe laser power and the coupling factor of optical couplers are the most sensitive parameters of the proposed format conversion system.

Abstract
In this paper we present a Netlogo simulation model for a Data Mining methodological process: ensemble classifier generation. The model allows to study the trade-off between data characteristics and diversity, a key concept in Ensemble Learning. We studied the re™ search hypothesis that data characteristics should also be taken into account while generating ensemble classifier models. The results of our experiments indicate that diversity is in fact a key concept in Ensemble Learning but regarding our research hypothesis, the findings axe inconclusive.