Abstract: Aspects of the present disclosure describe a multilayer coding method for physical value measurements in which a multi-pulse pattern is generated through several layers, each of which is encoded with a different cyclic codeword. The total coding gain is the product of the gains of each layer advantageously allowing a long cyclic codeword to be replaced by combining several short cyclic codewords. Of particular advantage, methods according to the present disclosure provide better signal-to-noise characteristics, longer sensing distances and lower computational complexity particularly suitable for high-performance and cost-effective distributed optical fiber sensing (DOFS).

Abstract: Aspects of the present disclosure describe systems, methods, and structures for high speed frequency hopping distributed acoustic sensing using an acousto-optic modulated (AOM), gated re-circulating loop and a frequency shifted receiver local oscillator. Using the re-circulating loop controlled by the AOM to generate frequency-hopping pulse(s) increases DAS acoustic bandwidth overcomes infirmities exhibited in the art that generate multiple frequency patterns that are not suitable for long-distance DAS. Additionally, by employing frequency shifted local oscillator (LO) with asymmetric in band detection, bandwidth requirements are reduced by one half.

Abstract: Aspects of the present disclosure describe Raman based Distributed temperature sensing (DTS) systems with a novel recovery algorithm that improves the spatial resolution of DTS system. The algorithm is based on a linear DTS model and weighted total variation.

Abstract: Aspects of the present disclosure describe systems, methods, and structures for free-space optical communications using Hermite-Gaussian modes resulting in advantageous performance over prior art systems particularly with respect to lateral misalignment.

Abstract: A computer-implemented method for detecting and predicting anomalies in an energy management system is presented. The method includes detecting, in real-time, a first set of outliers for a plurality of energy devices under operation, predicting a second set of outliers for running the plurality of energy devices, analyzing historical energy data of the plurality of energy devices to extract a third set of outliers, receiving feedback, in real-time, from a user regarding each of the first, second, and third sets of outliers, and training the energy management system with the real-time feedback received from the user to automatically optimize a threshold of error detection.

Abstract: Systems and a method are provided for use with a shopping cart in a store. A system includes Radio-Frequency Identification (RFID) tags, including item RFID tags associated with items for sale and reference RFID tags associated with various aisles in the store, for providing RFID data. The system further includes a RFID reader, operatively coupled to the shopping cart, and configured to the read RFID data from the item RFID tags and the reference RFID tags, extract features from the RFID data, identify any of the items having feature values associated therewith greater than a threshold amount as inside-cart items to be processed during an automatic checkout, and perform the automatic checkout on only the inside-cart items.

Abstract: Aspects of the present disclosure describe systems, methods, and structures that advantageously amplify optical signals through the effect of optical pump signals generated by a multicore laser diode and multicore rare-earth doped optical fiber in optical communication with a 3D waveguide structure and a multicore input signal fiber providing a plurality of optical signals for amplification.

Abstract: A computer-implemented method executed by at least one processor for training fast models for real-time object detection with knowledge transfer is presented. The method includes employing a Faster Region-based Convolutional Neural Network (R-CNN) as an objection detection framework for performing the real-time object detection, inputting a plurality of images into the Faster R-CNN, and training the Faster R-CNN by learning a student model from a teacher model by employing a weighted cross-entropy loss layer for classification accounting for an imbalance between background classes and object classes, employing a boundary loss layer to enable transfer of knowledge of bounding box regression from the teacher model to the student model, and employing a confidence-weighted binary activation loss layer to train intermediate layers of the student model to achieve similar distribution of neurons as achieved by the teacher model.

Abstract: Aspects of the present disclosure describe methods of generating an optimized set of constellation symbols for an optical transmission network wherein the optimized constellation is based on GMI cost and considers both fiber nonlinearity and linear transmission noise.

Abstract: Aspects of the present disclosure describe systems, methods, and structures that advantageously provide hybrid free-space optical (FSO)-radio frequency (RF) communication links (HFRCLs) that enable building integrated software-defined network (SDN) infrastructure capable of integrating ultra-high-throughput satellite networks, composite wireless infrastructures, heterogeneous networks (HetNets), hybrid networks, satellite networks, and fiber-optics networks—among others.

Abstract: Aspects of the present disclosure describe systems, methods, and structures for passive optical add/drop multiplexing (POADM) architectures that remove the prior art requirement of an optical amplifier (i.e., repeater-less) at the POADM nodes.

Abstract: Aspects of the present disclosure describe systems, methods, and structures for providing C-band and L-band transmission exhibiting increased power efficiency by diverting a portion of C-band optical energy to an input of L-band optical amplifiers (C-seeding) while optionally employing circulators to eliminate the need for optical isolators.

Abstract: Data is routed in a mesh network of devices that can communicate wirelessly through a plurality of technologies. One or more of such devices receive broadcast message(s) from a destination device intended to receive the data, and generate a first radio link quality metric (RLQM) value based on the broadcast message(s). A source device originates and delivers a quantum of data with an embedded first RLQM value. A set of intermediate devices relays the quantum of data if a forwarding criterion is fulfilled; the forwarding criterion is based in part on the first RLQM value and a second RLQM value generated by an intermediate device in the set of intermediate devices based on the broadcast message(s). The intermediate device exploits an optical interface to transmit the quantum of data. The destination device broadcasts an acknowledgement signal in response to receiving intended data.

Abstract: A machine learning method includes connecting machines in a data-center using a network aware model consistency for stochastic applications; ensuring a communication graph of all machines in the data-center is connected; propagating all updates uniformly across the cluster without update; and preferring connections to a machine with first network throughput over machines with second network throughput smaller than the first network throughput.

Abstract: A system includes first and second data stores, each store having a set of materialized views of the base data and the views comprise a multistore physical design; an execution layer coupled to the data stores; a query optimizer coupled to the execution layer; and a tuner coupled to the query optimizer and the execution layer, wherein the tuner determines a placement of the materialized views across the stores to improve workload performance upon considering each store's view storage budget and a transfer budget when moving views across the stores.

Abstract: Data is routed in a mesh network of devices that can communicate wirelessly through a plurality of technologies. One or more of such devices receive broadcast message(s) from a destination device intended to receive the data, and generate a first radio link quality metric (RLQM) value based on the broadcast message(s). A source device originates and delivers a quantum of data with an embedded first RLQM value. A set of intermediate devices relays the quantum of data if a forwarding criterion is fulfilled; the forwarding criterion is based in part on the first RLQM value and a second RLQM value generated by an intermediate device in the set of intermediate devices based on the broadcast message(s). The intermediate device exploits an optical interface to transmit the quantum of data. The destination device broadcasts an acknowledgement signal in response to receiving intended data.

Abstract: Systems and methods are disclosed for parallel machine learning with a cluster of N parallel machine network nodes by determining k network nodes as a subset of the N network nodes to update learning parameters, wherein k is selected to disseminate the updates across all nodes directly or indirectly and to optimize predetermined goals including freshness, balanced communication and computation ratio in the cluster; sending learning unit updates to fewer nodes to reduce communication costs with learning convergence; and sending reduced learning updates and ensuring that the nodes send/receive learning updates in a uniform fashion.

Abstract: Systems and methods are disclosed for providing distributed learning over a plurality of parallel machine network nodes by allocating a per-sender receive queue at every machine network node and performing distributed in-memory training; and training each unit replica and maintaining multiple copies of the unit replica being trained, wherein all unit replicas train, receive unit updates and merge in parallel in a peer-to-peer fashion, wherein each receiving machine network node merges updates at later point in time without interruption and wherein the propagating and synchronizing unit replica updates are lockless and asynchronous.

Abstract: Systems and methods for communication using an optical transmission system having optical transmitters and receivers includes performing a low-density parity-check (LDPC) encoding; performing nonbinary pm-ary signaling, where p is a prime larger than 2; taking m p-ary symbols at a time and selecting a point from pm-ary signal constellation; after up-sampling and driving amplification, using coordinates of the pm-ary constellation as input of I/Q modulator x (y); combining two independent pm-ary streams corresponding to x and y-polarization states by a polarization beam combiner (PBS) and transmitting data over the optical transmission system.

Abstract: Systems and methods for prioritizing queries in a cloud based database by determining a priority score in real time under an imprecise query execution time; and incrementally maintaining query priority scores.