Abstract: Disclosed are structures and methods for generating a Nyquist superchannel.

Abstract: A computer implemented method for dynamically allocating traffic in a passive optical communication system includes employing an individual wavelength channel to carry different data services from an individual transmitter, configuring an optical network unit into optical network unit groups serving at least two community of users; and providing a flexible remote node with wavelength routing flexibility including switching wavelength traffic from optical network user groups with low capacity requirements to optical network user groups with increased wavelength traffic requirements.

Abstract: A method implemented in a network apparatus used in a network is disclosed. The method includes sensing network topology and network utilization, receiving a request from an application, deciding path setup requirement using network state information obtained from the network topology and the network utilization, and translating the path setup requirement into a rule to be installed. Other methods, apparatuses, and systems also are disclosed.

Abstract: A hybrid electro-optical data center system includes multiple tiers. A bottom tier has one or more bottom tier instances, with each bottom tier instance including one or more racks, an electro-optical switch corresponding to each rack, and a first bottom tier optical loop providing optical connectivity between the electro-optical switches of the respective bottom tier instance. At least one server within each rack is electrically connected to the respective electro-optical switch and at least one super-server within each rack is electrically and optically connected to the respective electro-optical switch. A top tier includes electro-optical switches, each electrically connected to an electro-optical switch in a respective bottom tier instance, a first top tier optical loop providing optical connectivity between the electro-optical switches of the top tier, and one or more optical add/drop modules providing optical connectivity between the first bottom tier optical loop and the first top tier optical loop.

Abstract: Systems and methods are disclosed for protecting privacy in an application software (app) by detecting application repacking; detecting application tainting, including: detecting descrying information leakage; detecting vulnerability espial; and detecting a privacy leak.

Abstract: A system and method for analysis of complex systems which includes determining model parameters based on time series data, further including profiling a plurality of types of data properties to discover complex data properties and dependencies; classifying the data dependencies into predetermined categories for analysis; and generating a plurality of models based on the discovered properties and dependencies. The system and method may analyze, using a processor, the generated models based on a fitness score determined for each model to generate a status report for each model; integrate the status reports for each model to determine an anomaly score for the generated models; and generate an alarm when the anomaly score exceeds a predefined threshold.

Abstract: A joint-optimization method addresses the generalized routing and wavelength assignment problem with variable number of combined 1+1 dedicated and shared connections. The inventive method enables a solution in time that is polynomial of the input size. Thus, the time complexity of the joint-optimization method is significantly less than that of existing methods.

Abstract: We propose an efficient procedure, namely disjoint pair procedure based cloud service embedding procedure that first maps working and backup virtual nodes over physical nodes while balancing computational resources of different types, and finally, maps working and backup virtual links over physical routes while balancing network spectral resources using the disjoint pair procedure.

Abstract: An object detector includes a bottom-up object hypotheses generation unit; a top-down object search with supervised descent unit; and an object re-localization unit with a localization model.

Abstract: Systems and methods for determining whether networked system migrations are successful are disclosed. In accordance with one method, a first set of properties of the networked system on a source platform in a first administrative domain is determined. Further, the method includes transferring the networked system to a destination platform in a second administrative domain. In addition, a second set of properties of the transferred system on the destination platform is determined, where the first and second sets of properties include functional properties and at least one of: performance properties, security properties or reliability properties. The method also includes outputting an indication that the transfer of the system to the destination platform is successful in response to determining that one or more of the properties of the second set are equivalent to corresponding properties of the first set.

Abstract: Methods and systems for combining signals include modulating data onto a first signal at a first frequency and wavelength; modulating data onto a second signal at a second wavelength using a modulation scheme that produces spectral components at the first frequency; filtering the second signal using an optical filter to suppress spectral components that would cause interference to the first signal; and combining the first signal and the second signal onto a transmission medium.

Abstract: Systems and methods are disclosed for classifying histological tissues or specimens with two phases. In a first phase, the method includes providing off-line training using a processor during which one or more classifiers are trained based on examples, including: finding a split of features into sets of increasing computational cost, assigning a computational cost to each set; training for each set of features a classifier using training examples; training for each classifier, a utility function that scores a usefulness of extracting the next feature set for a given tissue unit using the training examples.

Abstract: Systems and methods are disclosed to improve energy efficiency of a farm with livestock wastes by generating a cooling, heating, and power (CCHP) microgrid model; performing on a computer a multi-objective optimization to improve system efficiency of energy utilization and reduce environmental problems caused by animal wastes; and displaying results of the optimization for review.

Abstract: A system/method for data transport, including encoding one or more streams of input data using one or more Low Density Parity Check (LDPC) encoders; employing one or more signal constellations obtained using an optimum signal constellation design (OSCD); determining an optimum mapping rule by comparing cost functions of each of a plurality of mapping rules; combining one or more LDPC-coded OSCD signal constellation data streams with coherent optical-orthogonal frequency division multiplexing (CO-OFDM) coded modulation to achieve channel capacity; and mode-multiplexing and transmitting one or more independent LDPC-coded optimum signal constellation design (OSCD) data streams over a transmission medium.

Abstract: Various methods are provided directed to a compiler-guided software accelerator for iterative HADOOP® jobs. A method includes identifying intermediate data, generated by an iterative HADOOP® application, below a predetermined threshold size and used less than a predetermined threshold time period. The intermediate data is stored in a memory device. The method further includes minimizing input, output, and synchronization overhead for the intermediate data by selectively using at any given time any one of a Message Passing Interface and Distributed File System as a communication layer. The Message Passing Interface is co-located with the HADOOP® Distributed File System.

Abstract: Systems and methods are disclosed for detecting an object in an image by determining convolutional neural network responses on the image; mapping the responses back to their spatial locations in the image; and constructing features densely extract shift invariant activations of a convolutional neural network to produce dense features for the image.

Abstract: The invention is directed to a novel computer implemented method for finding a modulation format that has better receiver sensitivity than modulation formats that are currently being used, with a correlated symbol modulation in which neighboring symbols are coded and decoded together to increase receiver sensitivity.

Abstract: A method for reducing optical components at a receiver which include converting an input signal at a receiver to include an interleaving of alternate signal diversity components, the signal diversity components including phase diversity when the converting includes 0 and 90 degree interleaving and the signal diversity components include polarization diversity interleaving when the converting includes interleaved orthogonal polarizations, and combining the signal diversity components for enabling a single photo detection at the receiver to detect the alternative signal diversity components for subsequent analog-to-digital conversion.

Abstract: Systems and methods of transmitting includes one or more low-density parity-check (LDPC) encoders configured to adaptively encode one or more streams of input data by adjusting error correction strength based upon channel conditions. One or more mappers are configured to map one or more encoded data streams to symbols by associating bits of the symbols to points of an optimum signal constellation design (OSCD) based on one or more encoded data streams, the OSCD being decomposed into two or more sub-constellations. A spectral multiplexer is configured to combine symbol streams for the one or more encoded data streams to provide a plurality of spectral band groups. A mode multiplexer is configured to combine spectral contents of the plurality of spectral band groups allocated to a plurality of spatial modes for transmission over a transmission medium.

Abstract: A method for performing three-dimensional (3D) localization requiring only a single camera including capturing images from only one camera; generating a cue combination from sparse features, dense stereo and object bounding boxes; correcting for scale in monocular structure from motion (SFM) using the cue combination for estimating a ground plane; and performing localization by combining SFM, ground plane and object bounding boxes to produce a 3D object localization.