Patents Assigned to NEC Laboratories America, Inc.
  • Publication number: 20210111794
    Abstract: Aspects of the present disclosure describe systems, methods. and structures in which a hybrid neural network combining a CNN and several ANNs are shown useful for predicting G-ONSR for Ps-256QAM raw data in deployed SSMF metro networks with 0.27 dB RMSE. As demonstrated, the CNN classifier is trained with 80.96% testing accuracy to identify channel shaping factor. Several ANN regression models are trained to estimate G-OSNR with 0.2 dB for channels with various constellation shaping. Further aspects include the tuning of existing optical networks and the characterization of retrofit/upgraded optical networks to estimate capacity—both aspects employing our inventive hybrid neural network methodology.
    Type: Application
    Filed: November 29, 2020
    Publication date: April 15, 2021
    Applicant: NEC Laboratories America, Inc.
    Inventors: Yue-Kai HUANG, Shaoliang ZHANG, Ezra IP, Jiakai YU
  • Publication number: 20210089924
    Abstract: Aspects of the present disclosure describe improving neural network robustness through neighborhood preserving layers and learning weighted-average neighbor embeddings.
    Type: Application
    Filed: September 23, 2020
    Publication date: March 25, 2021
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventors: Erik KRUUS, Christopher MALON, Bingyuan LIU
  • Publication number: 20210088323
    Abstract: Aspects of the present disclosure describe systems, methods and structures that perform linear-grammetry and calibration by simultaneous multilateration using only edge distance estimates via two-way ranging.
    Type: Application
    Filed: September 18, 2020
    Publication date: March 25, 2021
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventors: Mohammad KHOJASTEPOUR, Sampath RANGARAJAN
  • Publication number: 20210081673
    Abstract: Aspects of the present disclosure describe systems, methods, and structures that provide action recognition with high-order interaction with spatio-temporal object tracking. Image and object features are organized into into tracks, which advantageously facilitates many possible learnable embeddings and intra/inter-track interaction(s). Operationally, our systems, method, and structures according to the present disclosure employ an efficient high-order interaction model to learn embeddings and intra/inter object track interaction across the space and time for AR. Each frame is detected by an object detector to locate visual objects. Those objects are linked through time to form object tracks. The object tracks are then organized and combined with the embeddings as the input to our model. The model is trained to generate representative embeddings and discriminative video features through high-order interaction which is formulated as an efficient matrix operation without iterative processing delay.
    Type: Application
    Filed: September 9, 2020
    Publication date: March 18, 2021
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventors: Farley LAI, Asim KADAV, Jie CHEN
  • Publication number: 20210081672
    Abstract: Aspects of the present disclosure describe systems, methods and structures including a network that recognizes action(s) from learned relationship(s) between various objects in video(s). Interaction(s) of objects over space and time is learned from a series of frames of the video. Object-like representations are learned directly from various 2D CNN layers by capturing the 2D CNN channels, resizing them to an appropriate dimension and then providing them to a transformer network that learns higher-order relationship(s) between them. To effectively learn object-like representations, we 1) combine channels from a first and last convolutional layer in the 2D CNN, and 2) optionally cluster the channel (feature map) representations so that channels representing the same object type are grouped together.
    Type: Application
    Filed: September 9, 2020
    Publication date: March 18, 2021
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventors: Asim KADAV, Farley LAI, Chhavi SHARMA
  • Publication number: 20210081728
    Abstract: Aspects of the present disclosure describe systems, methods and structures providing contextual grounding—a higher-order interaction technique to capture corresponding context between text entities and visual objects.
    Type: Application
    Filed: September 8, 2020
    Publication date: March 18, 2021
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventors: Farley LAI, Asim KADAV, Ning XIE
  • Publication number: 20210082144
    Abstract: Aspects of the present disclosure describe systems, methods and structures for an efficient multi-person posetracking method that advantageously achieves state-of-the-art performance on PoseTrack datasets by only using keypoint information in a tracking step without optical flow or convolution routines. As a consequence, our method has fewer parameters and FLOPs and achieves faster FPS. Our method benefits from our parameter-free tracking method that outperforms commonly used bounding box propagation in top-down methods. Finally, we disclose tokenization and embedding multi-person pose keypoint information in the transformer architecture that can be re-used for other pose tasks such as pose-based action recognition.
    Type: Application
    Filed: September 9, 2020
    Publication date: March 18, 2021
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventors: Asim KADAV, Farley LAI, Hans Peter GRAF, Michael SNOWER
  • Publication number: 20200412451
    Abstract: Aspects of the present disclosure describe systems, methods and structures providing bidirectional optical fiber communication and sensing using the same fiber transmission band and bidirectional WDM fiber sharing such that communications channels and optical fiber sensing channel(s) coexist on the same fiber. As a result, nonlinear interaction between communications channels and interrogating pulse(s) of sensing are much reduced or eliminated.
    Type: Application
    Filed: May 27, 2020
    Publication date: December 31, 2020
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventors: Yue-Kai HUANG, Ezra IP, Philip Nan JI, Ming-Fang HUANG
  • Publication number: 20200401784
    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.
    Type: Application
    Filed: June 15, 2020
    Publication date: December 24, 2020
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventors: Milad SALEMI, Ming-Fang HUANG
  • Publication number: 20200403383
    Abstract: Aspects of the present disclosure describe systems, methods and structures for providing semiconductor amplifiers exhibiting a low polarization-dependent gain.
    Type: Application
    Filed: June 17, 2020
    Publication date: December 24, 2020
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventors: Fatih YAMAN, Shinsuke FUJISAWA, Eduardo Mateo RODRIGUEZ, Kohei NAKAMURA, Takanori INOUE, Yoshihisa INADA, Takaaki OGATA
  • Publication number: 20200370948
    Abstract: Aspects of the present disclosure describe multi-frequency coherent distributed acoustic sensing with a single transmitter/receiver pair using an offset Tx/Rx framing scheme and an additional optical IQ modulator to generate the multiple frequency channels for DAS interrogation.
    Type: Application
    Filed: May 20, 2020
    Publication date: November 26, 2020
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventors: Yue-Kai HUANG, Ezra IP
  • Publication number: 20200370928
    Abstract: Aspects of the present disclosure describe amplifier dynamics compensation through feedback control for distributed fiber sensing systems, methods, and structures employing Brillouin optical time-domain reflectometry.
    Type: Application
    Filed: May 20, 2020
    Publication date: November 26, 2020
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventors: Ezra IP, Yue-Kai HUANG
  • Publication number: 20200370949
    Abstract: Aspects of the present disclosure describe systems, methods and apparatus for improving the performance of Rayleigh-based phase-OTDR with correlation-based diversity combining and bias removal.
    Type: Application
    Filed: May 20, 2020
    Publication date: November 26, 2020
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventors: Ezra IP, Yue-Kai HUANG
  • Publication number: 20200370970
    Abstract: Aspects of the present disclosure describe monitoring of optical fiber by distributed temperature sensing (DTS) and determining optical fiber degradation and/or abnormal environmental events including landslides, fires, etc., from DTS data.
    Type: Application
    Filed: May 19, 2020
    Publication date: November 26, 2020
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventors: Ming-Fang HUANG, Yaowen LI
  • Publication number: 20200370950
    Abstract: Aspects of the present disclosure describe Rayleigh fading mitigation via short pulse coherent distributed acoustic sensing with multi-location beating-term combination. In illustrative configurations, systems, methods, and structures according to the present disclosure employ a two stage modulation arrangement providing short interrogator pulses resulting in a greater number of sensing data points and reduced effective sectional length. The increased number of data points are used to mitigate Rayleigh fading via a spatial combining process, multi-location-beating combining (MLBC) which uses weighted complex-valued DAS beating results from neighboring locations and aligns phase signals of each of the locations, before combining them to produce a final DAS phase measurement. Since Rayleigh scattering is a random statistic, the MLBC process allows capture of different statics from neighboring locations with correlated vibration/acoustic signal.
    Type: Application
    Filed: May 20, 2020
    Publication date: November 26, 2020
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventors: Ezra IP, Yue-Kai HUANG, Junqiang HU, Shuji MURAKAMI
  • Publication number: 20200319018
    Abstract: Aspects of the present disclosure describe distributed optical fiber sensing for smart city applications in which distributed optical fiber sensing is integrated with a surveillance system into a single system such that the distributed sensing system may detect an event of interest and the surveillance system including cameras may be reoriented in response to verify and/or examine and/or acquire video of the event. Of particular advantage such distributed fiber sensing may include distributed acoustic sensing (DAS) for vibrational sensing and distributed temperature sensing (DTS) for temperature sensing. The integrated system employs shared optical fiber transport for the distributed sensing and the surveillance.
    Type: Application
    Filed: April 3, 2020
    Publication date: October 8, 2020
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventors: Ming-Fang HUANG, Ting WANG
  • Publication number: 20200319017
    Abstract: Aspects of the present disclosure describe aerial fiber optical cable localization using distributed acoustic sensing (DAS) that advantageously may determine the locality of electrical transformers affixed to utility poles along with the aerial fiber optical cable as well as any length(s) of fiber optical cable between the poles. Further aspects employ survey manned or unmanned, aerial or terrestrial survey vehicles that acoustically excite locations along the fiber optical cable and associate those DAS excitations with global positioning location (GPS).
    Type: Application
    Filed: April 2, 2020
    Publication date: October 8, 2020
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventor: Yue TIAN
  • Publication number: 20200319034
    Abstract: Aspects of the present disclosure describe rapid temperature measurement by wavelength modulation spectroscopy (WMS) that determines gas temperature from 2ƒ signals from two absorption lines by WMS methodologies even when the gas concentration is sufficiently high to saturate optical absorptions. In sharp contrast to the prior art, rapid temperature measurement by WMS according to aspects of the present disclosure employs both a 2ƒ signal ratio and gas concentration determined from the 2ƒ signal.
    Type: Application
    Filed: April 2, 2020
    Publication date: October 8, 2020
    Applicant: NEC LABORATORIES AMERICA, INC
    Inventors: Yue TIAN, Da PAN
  • Publication number: 20200313763
    Abstract: Aspects of the present disclosure describe optical fiber sensing systems, methods and structures disclosing a distributed fiber sensor network constructed on an existing, live network, data carrying, optical fiber telecommunications infrastructure to detect temperatures, acoustic effects, and vehicle traffic—among others. Of particular significance, sensing systems, methods, and structures according to aspects of the present disclosure may advantageously identify specific network locations relative to manholes/handholes and environmental conditions within those manholes/handholes namely, normal, flooded, frozen/iced, etc.
    Type: Application
    Filed: March 25, 2020
    Publication date: October 1, 2020
    Applicants: NEC LABORATORIES AMERICA, INC, VERIZON PATENT AND LICENSING INC.
    Inventors: Ting WANG, Ming-Fang HUANG, Tiejun XIA, Glenn WELLBROCK, Yaowen LI, Philip JI
  • Publication number: 20200249078
    Abstract: Disclosed are improved distributed optical fiber sensing systems, methods, and structures employing disparate point sensors that utilize uni-directional signal transmission via the distributed optical fiber such that a separate communications network for the disparate point sensors is not required.
    Type: Application
    Filed: February 5, 2020
    Publication date: August 6, 2020
    Applicant: NEC Laboratories America, Inc.
    Inventors: Junqiang HU, Ting WANG