Abstract: Embodiments are generally directed to an adaptive deformable kernel prediction network for image de-noising. An embodiment of a method for de-noising an image by a convolutional neural network implemented on a compute engine, the image including a plurality of pixels, the method comprising: for each of the plurality of pixels of the image, generating a convolutional kernel having a plurality of kernel values for the pixel; generating a plurality of offsets for the pixel respectively corresponding to the plurality of kernel values, each of the plurality of offsets to indicate a deviation from a pixel position of the pixel; determining a plurality of deviated pixel positions based on the pixel position of the pixel and the plurality of offsets; and filtering the pixel with the convolutional kernel and pixel values of the plurality of deviated pixel positions to obtain a de-noised pixel.

Abstract: An electrically controlled depolarizer based on a crossed-slit waveguide (3) includes a horizontal-slit waveguide (1), a 45-degree polarization rotation waveguide (2), a pair of modulation electrodes (4) and the crossed-slit waveguide (3).

Abstract: A proposed fabrication technique for a polarization-absorbing wire grid polarizer avoids the need to etch through the multilayer stack of materials to form the grid structure. Initial reflective metal and dielectric buffer layers are patterned and etched in a conventional manner to create the desired grid topology. A small-angle coating process is then used to complete the fabrication process by first coating the top surface of the patterned dielectric with a polarization-absorbing metal. A second coating process is used to cover the created metal coating with a dielectric cladding material. Maintaining a small angle of incidence between the coating source and the wire grid structure ensures that top portions of the grid are suitably covered to create the desired multilayer wire configuration.

Abstract: A compatible method for a self-service printing background includes: background configuration interface is presented in response to acquired background configuration event, herein background configuration interface is at least configured to configure interaction parameters between biometric feature recognition device and background of biometric feature recognition device and between biometric feature recognition device and printing device; user configuration event is received on background configuration interface; background configuration information of printing device and address of background of biometric feature recognition device are acquired based on user configuration event, herein background configuration information of printing device includes printing parameters of printing device and address of printing device; and configurations between biometric feature recognition device and background of the biometric feature recognition device and between biometric feature recognition device and printing device

Abstract: A chip-type three-dimensional magnetic field sensor includes a light source (1), an input straight waveguide (2), a polarization beam splitting waveguide (3), a 1:1 power beam splitter (4), three 1:2 type Y waveguides, three 2:1 type Y waveguides, three output straight waveguides, three magneto-optical waveguides and three photodetectors. The light source (1) outputs broad-spectrum depolarized light into the input straight waveguide (2), and then the light is divided into TE (transverse electric) polarized light and TM (transverse magnetic) polarized light. The TE polarized light is divided into two beams of TE polarized branch light. The TM polarized light is divided into two beams of TM polarized branch light. One of the two beams of TM polarized branch light is divided into two beams of first TM polarized sub-branch light. Another of the two beams of TM polarized branch light is divided into two beams of second TM polarized sub-branch light.

Abstract: An electrically controlled depolarizer based on a crossed-slit waveguide (3) includes a horizontal-slit waveguide (1), a 45-degree polarization rotation waveguide (2), a pair of modulation electrodes (4) and the crossed-slit waveguide (3).

Abstract: A chip-type three-dimensional magnetic field sensor includes a light source (1), an input straight waveguide (2), a polarization beam splitting waveguide (3), a 1:1 power beam splitter (4), three 1:2 type Y waveguides, three 2:1 type Y waveguides, three output straight waveguides, three magneto-optical waveguides and three photodetectors. The light source (1) outputs broad-spectrum depolarized light into the input straight waveguide (2), and then the light is divided into TE (transverse electric) polarized light and TM (transverse magnetic) polarized light. The TE polarized light is divided into two beams of TE polarized branch light. The TM polarized light is divided into two beams of TM polarized branch light. One of the two beams of TM polarized branch light is divided into two beams of first TM polarized sub-branch light. Another of the two beams of TM polarized branch light is divided into two beams of second TM polarized sub-branch light.

Abstract: Reversibly switchable photoacoustic tomography (RS-PAT), a photoacoustic technique with enhanced sensitivity and resolution, is disclosed. RS-PAT utilizes a subtractive process for the formation of a photoacoustic image of a region containing a plurality of switchable photoacoustic probes. In various aspects, the photoacoustic detection in RS-PAT imaging occurs minimally twice: a first image obtained when the photoacoustic probe is in active (absorbing or ON) state and a second image obtained when the photoacoustic probe is in an inactive (less-absorbing or OFF) state. Subtraction of the second image from the first image is used to obtain the RS-PAT image.

Abstract: Reversibly switchable photoacoustic tomography (RS-PAT), a photoacoustic technique with enhanced sensitivity and resolution, is disclosed. RS-PAT utilizes a subtractive process for the formation of a photoacoustic image of a region containing a plurality of switchable photoacoustic probes. In various aspects, the photoacoustic detection in RS-PAT imaging occurs minimally twice: a first image obtained when the photoacoustic probe is in active (absorbing or ON) state and a second image obtained when the photoacoustic probe is in an inactive (less-absorbing or OFF) state. Subtraction of the second image from the first image is used to obtain the RS-PAT image.

Abstract: Techniques are generally described related to tag refinement strategy. One example method for refining homonyms and synonyms in a plurality of tags may include receiving, by a tag refinement system, a plurality of tagging actions each of which associates one or more of the plurality of tags with a digital object. The method may further include extracting, by the tag refinement system, a first subset of tags from the plurality of tags, wherein the first subset of tags have a higher collective relativity-similarity score comparing to a second subset of tags selected from the plurality of tags, and the first subset of tags, different from the second subset of tags, have a same predetermined tag count as the second subset of tags.

Abstract: Techniques are generally described related to tag refinement strategy. One example method for refining homonyms and synonyms in a plurality of tags may include receiving, by a tag refinement system, a plurality of tagging actions each of which associates one or more of the plurality of tags with a digital object. The method may further include extracting, by the tag refinement system, a first subset of tags from the plurality of tags, wherein the first subset of tags have a higher collective relativity-similarity score comparing to a second subset of tags selected from the plurality of tags, and the first subset of tags, different from the second subset of tags, have a same predetermined tag count as the second subset of tags.

Abstract: Techniques are generally described related to tag refinement strategy. One example method for refining homonyms and synonyms in a plurality of tags may include receiving, by a tag refinement system, a plurality of tagging actions each of which associates one or more of the plurality of tags with a digital object. The method may further include extracting, by the tag refinement system, a first subset of tags from the plurality of tags, wherein the first subset of tags have a higher collective relativity-similarity score comparing to a second subset of tags selected from the plurality of tags, and the first subset of tags, different from the second subset of tags, have a same predetermined tag count as the second subset of tags.

Abstract: A dynamic dada sampling system and method is disclosed for in vivo small animal fluorescence molecular imaging and dual-modality molecular imaging. The system comprises a computer, a rotation stage for animal suspension driven by a motor, and a fluorescence excitation-detection apparatus. The fluorescence excitation-detection apparatus comprises a fluorescence excitation module and a fluorescence detection module. The CCD device of the fluorescence detection module is connected to a computer through an interface controller. The motor is connected to a computer through RS232 interface. The process of dynamic data acquisition is as follows: a fluorescent probe is injected into a small animal in order to target specific cells or tissues; a small animal is vertically hung on a rotation stage after anesthesia; the fluorescence imaging detection module acquires the emitting light continuously. The present invention can provide 360 degree imaging quickly, efficiently, and non-invasively.