To test optical data link transmitters and receivers at 200 Mb/s, a method was developed to automatically measure the eye opening of the device under test (DUT).
We correlate accumulated chromatic dispersion measured in a live coherent receivers to autonomously identify fiber types in a 11-link network without traffic interruption
We correlate accumulated dispersions measured in coherent receivers to autonomously identify fiber types in a 41-link network without traffic interruption.
We propose and demonstrate an automated method for aligning arrays of fibers to waveguide devices.
In this paper, we address the detection of face-to-face (f2f, i.e., physical) interactions between people from noisy sensor data and determination of groups and communities that individuals form in
Leveraging machine learning (ML) for the detection of network problems dates back to handling call-dropping issues in telephony.
Automated construction of knowledge hierarchies is gaining increasing attention to tackle the infeasibility of manually extracting and semantically linking millions of concepts.
Upon failure detection, IP networks need to reconfigure their routing and forwarding tables. Typically this task is executed by routing protocols such as Open Shortest Path First (OSPF).
Behavioral modelling of blocks is an important step in wireless system verification. In this paper, we describe the application of an automated technique for macromodel extraction.
We present a theory for reduced-order modelling of linear time-varying systems, together with efficient numerical methods for application to large systems.
