Michele Lagioia | ESMT - Academia.edu (original) (raw)
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Papers by Michele Lagioia
An investigation and optimization of silicon-on-insulator nanometer slot waveguides for nonlinear... more An investigation and optimization of silicon-on-insulator nanometer slot waveguides for nonlinear applications is proposed by using a novel iterative calculation method.
An investigation and optimization of silicon-on-insulator nanometer slot waveguides for nonlinear... more An investigation and optimization of silicon-on-insulator nanometer slot waveguides for nonlinear applications is proposed by using a novel iterative calculation method.
In this paper, we present two examples of photonic sensors based on ring resonators in Silicon-on... more In this paper, we present two examples of photonic sensors based on ring resonators in Silicon-on-Insulator (SOI) waveguide technology as mass production compatible sensing units for the measurement of: strain, and ultrasound. Furthermore, the sensing units are characterized in extreme conditions to validate their robustness in harsh industrial environments. In addition, the monitoring of these sensing units is presented as an application of an on-chip 3×3 interferometer.
Due to the continuously increasing mobility demand the efficiency of the existing road infrastruc... more Due to the continuously increasing mobility demand the efficiency of the existing road infrastructure should be improved. Advanced control and management techniques offer promising, cost effective and environmentally friendly solutions to the problem. As traffic and vehicle control/management applications become more advanced they require more and more detailed and accurate real-time observations about the surrounding relevant world. The paper describes a road infrastructure based sensing and data interpretation system, which is scalable, robust and delivers the motion state estimation of the individual vehicles in real-time. The system enables a wide spectrum of intelligent transport system functionalities ranging from traffic management to fully autonomous driving. Distinguishing features of the solution that it does not require instrumentation on the vehicles to become detected and it is insensitive to ambient environmental conditions (weather, light, etc.). The paper describes the event driven object tracking algorithm, and its "mapping" to distributed computing platform resulting in an inherently robust implementation.
An investigation and optimization of silicon-on-insulator nanometer slot waveguides for nonlinear... more An investigation and optimization of silicon-on-insulator nanometer slot waveguides for nonlinear applications is proposed by using a novel iterative calculation method.
An investigation and optimization of silicon-on-insulator nanometer slot waveguides for nonlinear... more An investigation and optimization of silicon-on-insulator nanometer slot waveguides for nonlinear applications is proposed by using a novel iterative calculation method.
In this paper, we present two examples of photonic sensors based on ring resonators in Silicon-on... more In this paper, we present two examples of photonic sensors based on ring resonators in Silicon-on-Insulator (SOI) waveguide technology as mass production compatible sensing units for the measurement of: strain, and ultrasound. Furthermore, the sensing units are characterized in extreme conditions to validate their robustness in harsh industrial environments. In addition, the monitoring of these sensing units is presented as an application of an on-chip 3×3 interferometer.
Due to the continuously increasing mobility demand the efficiency of the existing road infrastruc... more Due to the continuously increasing mobility demand the efficiency of the existing road infrastructure should be improved. Advanced control and management techniques offer promising, cost effective and environmentally friendly solutions to the problem. As traffic and vehicle control/management applications become more advanced they require more and more detailed and accurate real-time observations about the surrounding relevant world. The paper describes a road infrastructure based sensing and data interpretation system, which is scalable, robust and delivers the motion state estimation of the individual vehicles in real-time. The system enables a wide spectrum of intelligent transport system functionalities ranging from traffic management to fully autonomous driving. Distinguishing features of the solution that it does not require instrumentation on the vehicles to become detected and it is insensitive to ambient environmental conditions (weather, light, etc.). The paper describes the event driven object tracking algorithm, and its "mapping" to distributed computing platform resulting in an inherently robust implementation.