Abstract:
Aspects of the present disclosure describe physical layer security in optical telecommunications networks wherein a filtering-based physical security is provided by a wavelength tunable distributed fiber optical sensing (DFOS) system operating simultaneously on the telecommunications network.
Abstract:
Aspects of the present disclosure describe hybrid distributed fiber optic sensing systems, methods, and structures that advantageously are extensions of existing fiber optic infrastructure and provide distributed fiber optic sensing (DFOS) functionality to the existing infrastructure
Abstract:
Aspects of the present disclosure describe optical fiber sensing systems, methods and structures disclosing a distributed optical fiber sensor network constructed on a switched optical fiber telecommunications infrastructure to detect temperatures, acoustic effects, and vehicle traffic among others demonstrated with a number of different network topologies.
Abstract:
Aspects of the present disclosure describe systems, methods and structures providing wide-area traffic monitoring based on distributed fiber-optic sensing (DFOS) that employs deep neural network(s) for denoising noisy waterfall traces measured by the DFOS. Such systems, methods, and structures according to aspects of the present disclosure may advantageously monitor multiple highways/roadways using a single interrogator and optical fiber switch(es) which provides traffic information along every sensing point of existing, deployed, in-service optical telecommunications facilities.
Abstract:
Aspects of the present disclosure describe systems, methods and structures and applications of optical fiber sensing. Of significance, systems, methods, and structures according to aspects of the present disclosure may reuse and/or retrofit/upgrade existing optical fiber cables as part of optical fiber sensing that may find important societal application including intrusion detection, road traffic monitoring and infrastructure health monitoring. Combining such optical fiber sensing with artificial intelligence (AI) further enables powerful applications at low(er) cost.
Abstract:
Aspects of the present disclosure describe gas sensor calibration methods and subsequent sensing methods employing same in conjunction with wavelength modulation spectroscopy (WMS). Additional aspects of the present disclosure advantageously employ WMS for highly-sensitive gas concentration measurement across a range of concentrations from ambient to a high concentration environment such as fire/smoke detection. Finally, still further aspects of the present disclosure determine and then employ two calibration factors and during measurement WMS-2f spectra to determine an inflection or turning point and subsequently which one of the two calibration factors to employ at a given concentration.
Abstract:
A method of optical label swapping implemented by a switch used in a software defined network system that in one embodiment includes providing a 400-Gbit/s payload having a Nyquist shaped carrier in a 75-Ghz bandwidth spacing using a payload generator module controlling at least one first optical laser, and inserting a first optical label adjacent to the payload flow in a remainder of a 100-Ghz bandwidth with a label generator controlling at least one second optical laser. The label generator and the payload generator are controlled by a software defined network (SDN). A package of the payload and the first optical label is transmitted to a receiving node. The optical label can be swapped at the receiving node with a flex grid wavelength selective switch (WSS) controlled by the software defined network.