Abstract: A method for clip selection includes receiving through an interface to a medical imaging device, a selection of a diagnostic procedure and a target portion of a mammalian body. Thereafter, the device acquires video clip imagery of the target portion and stores the video clip imagery in an image store. Each video clip of the video clip imagery is then image processed to determine a view and a quality of each video clip and a rule is retrieved from a rules base corresponding to the selected diagnostic procedure and target portion. In this regard, the rule specifies a requisite view and quality of the video clip imagery. Finally, the retrieved rule is applied to the video clip imagery as a filter to produce a subset of video clip imagery satisfying the specified requisite view and quality and the subset of video clip imagery is stored in the image store.

Abstract: In one example, the present disclosure describes a device, computer-readable medium, and method for enabling secure video sharing by exploiting data sparsity. In one example, the method includes applying a transformation to a video dataset containing a plurality of video samples, to produce a plurality of sparse vectors in a first dimensional space, wherein each sparse vector of the plurality of sparse vectors corresponds to one video sample of the plurality of video samples, and multiplying each sparse vector of the plurality of sparse vectors by a transformation matrix to produce a plurality of reduced vectors in a second dimensional space, wherein the dimension of the second dimensional space is smaller than a dimension of the first dimensional space, and wherein the plurality of reduced vectors in the second dimensional space hides information about the video dataset while preserving relational properties between the plurality of video samples.

Abstract: The disclosed technology for building an edge convolutional neural network (CNN) system for IoT includes training on-site processors to analyze image data and identify motorized vehicles, bicycles and people in near-real-time, using a big cloud CNN, a small cloud CNN and an on-site CNN. At least five hundred site-specific images from cameras are analyzed using the big cloud CNN to produce a machine-generated training set that includes an image that has regions, and for each region, coordinates of bounding boxes for objects in the region, and classification of contents of the bounding boxes as a motorized vehicle, bicycle or person; and the training set. The machine-generated training set gets used to train the small cloud CNN; and coefficients from the trained small cloud CNN get transferred to the on-site CNN, thereby configuring the on-site CNN to recognize motorized vehicles, bicycles and people in images from the cameras in near-real-time.

Abstract: Provided are a system and method for simultaneously reconstructing an initial three-dimensional (3D) trajectory and velocity of an object by using single camera images. The system for simultaneously reconstructing an initial 3D trajectory and velocity of an object by using single camera images includes a receiver configured to receive 3D world coordinate information of a starting point of an object and object-captured image information of a single camera, a two-dimensional (2D) coordinate acquisition unit configured to acquire 2D image coordinates of the object from the object-captured image information, and a reconstructor configured to simultaneously reconstruct an initial 3D velocity and trajectory of the object by applying a 3D motion equation to the 2D image coordinates and depth information from the single camera to the object.

Abstract: There are provided a system and method of image-based relationship analysis, the method including: obtaining a set of target images each including one or more image representations of one or more individuals, obtaining, for each image representation, a corresponding vector representation, clustering the multiple vector representations to a plurality of clusters of vector representations corresponding to a plurality of unique individuals, and obtaining, for each target image, one or more unique individuals associated therewith, for each given target image of at least one subset of the set, obtaining a set of image parameters; generating a local relationship matrix using the set of image parameters, the local relationship matrix being representative of local mutual relationships between the one or more unique individuals, thereby obtaining a set of local relationship matrices, and generating a global relationship matrix by combining a set of local relationship matrices.

Abstract: A full duplex communication network includes a first coherent optics transceiver having (i) a first receiver, and (ii) a first transmitter configured to transmit a first dual polarized signal. The network further includes a second coherent optics transceiver having (i) a second receiver configured to receive the first dual polarized signal, and (ii) a second transmitter configured to transmit a second dual polarized signal. The network further includes an optical transport medium operably coupling the first coherent optics transceiver to the second coherent optics transceiver, and a first compensation module configured to filter (i) crosstalk between orthogonal components of the first dual polarized signal, and (ii) reflections between the first dual polarized signal and the second dual polarized signal.

Abstract: A redundant backup near-end machine, a far-end machine and a system of a digital optical fiber repeater is disclosed. It includes a near-end machine, a far-end machine and an optical fiber, and the near-end machine includes a near-end duplexer module, at least two near-end digital monitoring modules, and a near-end optical interface board module. The near-end optical interface board module includes a near-end digital optical module, and each near-end digital monitoring module is connected in parallel between the near-end duplexer module and the near-end optical interface board module. The far-end machine includes a far-end optical interface board module, at least two far-end digital monitoring modules, a power amplifier module, and a far-end low noise amplifier duplexer module. The far-end optical interface board module includes a far-end digital optical module.

Abstract: Tracking of signage conditions by vehicular imaging includes receiving image data including at least one image of signage captured at a predetermined location. An expected appearance of the signage is received. The expected appearance is based upon a plurality of images captured at the predetermined location. The at least one image is compared to an expected appearance of the signage to identify an anomaly in the signage. A notification is sent to a subscriber based upon the identified anomaly in the signage.

Abstract: A transmitter can include: at least one primary laser emitter configured to emit primary laser light; at least one primary monitor photodiode optically coupled with the at least one primary laser emitter; and at least one spare laser emitter configured to emit spare laser light. Each spare laser emitter can be adjacent with a corresponding primary laser emitter such that a first primary laser emitter and a first spare laser emitter pair are directed through an optical system and out a common optical fiber.

Abstract: An optical module includes a plurality of ports configured to connect to a multi-fiber cable that includes transmit fibers and receive fibers therein for the plurality of ports; a detector for each of the plurality of ports configured to detect loss of signal at a port level; and a processor configured to perform automatic power reduction only for affected ports of the multi-fiber cable that have a detected loss of signal. The multi-fiber cable can be an MPO cable.

Abstract: A terminal (1050) includes a light receiver (151) that receives a light signal emitted by an apparatus (1000), the light signal including an identifier (SSID) of at least one base station (470); a receiverreceiver (153) that performs a reception process on the received light signal to output reception data; a data analyzer (155) that selects one base station based on the identifier of the at least one base station that is included in the reception data; and a radio device (453) that establishes a wireless connection with the selected base station (470) by using the identifier of the base station (470) and wirelessly communicates with the base station (470).

Abstract: A method for operating a non-track-bound convoy, the convoy having at least one vehicle traveling ahead and at least one vehicle that is contactlessly coupled to the vehicle traveling ahead and directly following the vehicle traveling ahead, in at least a largely automated manner, including: providing that the at least one vehicle directly following the vehicle traveling ahead follows the vehicle traveling ahead by at least largely automatic open-loop/closed-loop control; and effecting a car-to-car communication between the vehicle traveling ahead and the at least one vehicle directly following the vehicle traveling ahead for the automatic open-loop/closed-loop control; in which a photo-optical, an optical-waveguide-less or an optical-fiber-less car-to-car communication is effected in each case between a light wave emitter and a light wave receiver for at least part of the car-to-car communication. Also described is a related driver assistance system and non-track bound convoy.

Abstract: Provided are a mobile terminal and a method for receiving and sending a light fidelity (LIFI) signal of the mobile terminal. The mobile terminal includes a display device. The display device includes a plurality of light emitting elements and a LIFI signal sending control assembly. The LIFI signal sending control assembly is electrically connected to at least one of the plurality of light emitting elements. The display device is configured to control, according to a display signal, the plurality of light emitting elements to emit light for displaying a to-be-displayed picture, and the display device is further configured to control, according to a LIFI sending signal of the LIFI signal sending control assembly, the at least one of the plurality of light emitting elements electrically connected to the LIFI signal sending control assembly to emit a first LIFI signal.

Abstract: The present disclosure relates to passive optical network (PON) systems, optical line terminals (OTLs), and optical network units (ONUs). One example PON system includes an OLT and at least two ONUs. The OLT and the ONUs exchange data on one downstream channel and two upstream channels. The OLT sends downstream data to each ONU on the downstream channel, where the downstream data includes an upstream bandwidth grant used to control each ONU to send upstream data. Each ONU receives the downstream data on the downstream channel, and sends the upstream data on a first upstream channel or a second upstream channel based on the upstream bandwidth grant included in the downstream data. The OLT receives, on the first upstream channel and the second upstream channel, the upstream data sent by each ONU, where a registration function is disabled on the first upstream channel, and enabled on the second upstream channel.

Abstract: An electronic device comprises circuitry implementing a depth map enhancer. The depth map enhancer obtains an initial depth map corresponding to a scene and an image of the scene. The depth map enhancer generates a refined depth map corresponding to the scene using an optimizer, the initial depth map and the image. The refined depth map includes estimated depth indicators corresponding to at least a first depth-information region, identified based at least in part on a first criterion, of the initial depth map. Input based on the refined depth map is provided to an image processing application.

Abstract: A wavelength conversion device includes a light source configured to output an excitation light beam, a modulator configured to phase-modulate the excitation light beam, a polarization adjustor configured to adjust a polarization angle of the excitation light beam to 45 degrees or 135 degrees with respect to a polarization angle of a signal light beam, and a nonlinear medium configured to generate four-wave mixing of the excitation light beam whose polarization angle is adjusted and the signal light beam to generate an idler light beam having a frequency corresponding to a difference between frequencies of the signal light beam and the excitation light beam from the signal light beam.

Abstract: A semiconductor-based Mach-Zehnder modulator (MZM) is configured for push-pull bias dithering to control the MZM bias at a desired set point. When two such MZM modulators are connected in parallel to form an IQ modulator, bias settings for both MZMs and the IQ bias may be controlled from an output of the IQ modulator to minimize both the IQ offset and the quadrature error of the output signal constellation even for non-ideal MZMs with low extinction ratios.

Abstract: An optical network is described that has a first ROADM node, a second ROADM node, and an optical transmission line establishing optical communication between the first ROADM node and the second ROADM node. The optical transmission line including an in-line amplifier node having a total input power and a total output power. The in-line amplifier node has a first monitoring tool configured to measure input optical power of the in-line amplifier node, and a second monitoring tool configured to measure output optical power of the in-line amplifier node. A software defined L0 network controller has circuitry configured to receive the optical power measured by the first and second monitoring tools from the in-line amplifier node, and to configure at least one of a gain and a gain tilt of the in-line amplifier node.

Abstract: A system and method for monitoring qualities of teaching and learning are provided. The system includes at least one receiving interface, a processor, and an output apparatus, wherein the processor is electrically connected to the at least one receiving interface and the output apparatus. The at least one receiving interface receives at least one digital image. The processor identifies at least one facial message from the at least one digital image, identifies at least one body message from the at least one digital image, and determines at least one teaching and learning quality index according to the at least one facial message and the at least one body message. The output apparatus outputs the at least one facial message, the at least one body message, and the at least one teaching and learning quality index.

Abstract: Systems, methods, and structures for overcoming Rayleigh backscatter in wavelength division multiplexed fiber optic systems and in particular fiber optic sensor systems along with method(s) for detecting faults in optical networks employing the intentional temporal separation of share wavelength noise and demarcation signals in conjunction with the use of accumulated Rayleigh noise signal(s) to detect a fault location.