CLEAVING FIBERS OF DIFFERING COMPOSITION

A method for cleaving a fiber comprises rotating an actuator to apply a positioning force to a blade in a scoring assembly. The positioning force produces a score in the surface of a fiber, and the method further comprise applying a cleaving force to the fiber to cleave the fiber. The method can further include measuring the magnitude of the positioning force and rotating the actuator until the magnitude corresponds to a pre-determined magnitude. A cleaver comprises a scoring assembly, drive assembly, and a cleaving assembly. The scoring assembly includes a holder having one or more blades, and an actuator. The cleaving assembly secures a fiber in the scoring assembly. The drive assembly rotates the actuator to position one or more blades to score the surface of the fiber. The cleaving assembly applies a cleaving force to the fiber to cleave the fiber at the location of the score. 1. A method for cleaving a fiber , the method comprising:rotating an actuator ring around a scoring assembly to produce a score in a fiber, the fiber positioned within the scoring assembly, the scoring assembly comprising the actuator ring and at least one scoring blade, the actuator ring having an inner surface comprising a first cam, the first cam having a sloped surface, the rotating the actuator ring around the scoring assembly placing the sloped surface of the first cam in contact with a first scoring blade among the at least one scoring blade, the sloped surface of the first cam in contact with the first scoring blade applying a positioning force to the first scoring blade to produce the score in the fiber; and,applying a cleaving force to the fiber to cleave the fiber at a location of the fiber corresponding to the score.2. The method of claim 1 , wherein the rotating the actuator ring around the scoring assembly comprises rotating the actuator ring an angular distance around the scoring assembly to place the first cam in contact with the first scoring blade at a scoring position of ...

Image conduction apparatus for soldering inner void analysis

System and methods for solder void analysis with an optical inspection component are described, including a plurality of optical fibers longitudinally disposed through a glass tube such that ends of the optical fibers are exposed from corresponding ends of the glass tube. A solderable fill encompassing each of the optical fibers by filling spaces between each of the optical fibers and between the optical fibers and the glass tube such that the ends of the glass tube include the ends of the optical fibers surrounded by the solderable fill to form an interface around the optical fibers for soldering one of the ends of the glass tube to a solder pad.

OBJECT COGNITIVE IDENTIFICATION SOLUTION

Embodiments of the present invention provide a computer-implemented method for identifying a specified object. The method includes collecting attributes of a physical object within a physical space, in which the attributes include an object temperature obtained via an (IR) sensor and an object shape obtained via an image sensor. A machine learning algorithm is executed to allocate a coordinate to the object based on the attributes. In response to a request from a user to locate the object, the physical space is scanned via the IR sensor and the image sensor to identify the object and to detect a present location. An indication of a location of the object is then displayed to the user, in which the indication is at least one of the present location of the object or a predicted location of the object. 1. A computer-implemented method for identifying a specified physical object based on a plurality of attributes that are obtained via at least a plurality of sensors , the computer-implemented method comprising:collecting, by a system comprising one or more processors, the plurality of attributes of the specified physical object within a physical space, wherein the plurality of attributes includes a temperature of the specified physical object and a shape of the specified physical object, wherein the temperature of the specified physical object is obtained via one or more infrared (IR) sensors, wherein the shape of the specified physical object is obtained via one or more image sensors;executing, by the system, a machine learning algorithm to allocate a coordinate to the specified physical object based on the plurality of attributes, wherein the coordinate represents a location of the specified physical object within the physical space at a time of the collection of the plurality of attributes;monitoring, by the system, a status of the specified physical object within the physical space over a period of time via at least the one or more IR sensors and the one or more ...

FLUX RESIDUE DETECTION

A system for flux residue detection is provided. The system includes a flux heater, where the flux heater controls a temperature of a flux spray applied to a printed circuit board, and an infrared camera, wherein the infrared camera provides a thermal image of the flux on the printed circuit board. A method, a computer system, and a computer program product for flux residue detection is provided, including setting flux application parameters, applying flux to a printed circuit board, and capturing an infrared image of the flux applied to the printed circuit board. A method, a computer system, and a computer program product for flux residue detection is provided, including setting flux application parameters, applying flux to a printed circuit board, capturing an infrared image of the flux applied to the printed circuit board, and determining there is excess flux residue on the printed circuit board. 1. An apparatus comprising:a flux heater, wherein the flux heater controls a temperature of flux applied to a printed circuit board; andan infrared camera, wherein the infrared camera provides a thermal image of the flux on the printed circuit board.2. The apparatus according to claim 1 , further comprising:an infrared camera controller, wherein the infrared camera controller stores a thermal image of the flux applied printed circuit board.3. The apparatus according to claim 1 , further comprising:a flux spray controller, wherein the flux spray controller determines a pressure of the flux, a temperature of the flux heater, a spray pattern of the flux, a flux duration, and a pre-heater temperature.4. The apparatus according to claim 1 , further comprising:a conveyor for carrying the printed circuit board sequentially through a flux spray, a pre-heater, and a wave solder bath.5. The apparatus according to claim 1 , wherein the flux heater comprises a heating element wrapped around a fluxer claim 1 , the flux is dispensed by the fluxer.6. The apparatus according to claim 1 ...

Flux residue detection

A system for flux residue detection is provided. The system includes a flux heater, where the flux heater controls a temperature of a flux spray applied to a printed circuit board, and an infrared camera, wherein the infrared camera provides a thermal image of the flux on the printed circuit board. A method, a computer system, and a computer program product for flux residue detection is provided, including setting flux application parameters, applying flux to a printed circuit board, and capturing an infrared image of the flux applied to the printed circuit board. A method, a computer system, and a computer program product for flux residue detection is provided, including setting flux application parameters, applying flux to a printed circuit board, capturing an infrared image of the flux applied to the printed circuit board, and determining there is excess flux residue on the printed circuit board.

Precoding method and communication apparatus

Communication apparatus and system

Precoding Method and Communication Apparatus

This application relates to the field of communication technologies, and provides a precoding method and a communication apparatus. The method includes: A terminal device obtains a first reference signal, where the first reference signal is a reference signal precoded by using a first precoding matrix. Then the terminal device sends first information, where the first information is determined based on a measurement result of the first reference signal, and is used to determine a target precoding matrix. Then the terminal device obtains information precoded by using the target precoding matrix.

一种防水卷材生产用加沙装置

本实用新型公开了一种防水卷材生产用加沙装置，包括床体、丝杆、滑杆、转动电机、支杆、沙箱、吸尘风机、洒口、压辊、吸板、传动带轮、联动带、齿辊、驱动带轮和驱动皮带，所述床体两侧对称转动安装有丝杆，所述丝杆端部安装有驱动带轮，且驱动带轮通过驱动皮带传动连接，所述床体一侧的丝杆端部连接安装有转动电机，所述床体两侧对称设有支杆，且支杆底端与丝杆啮合连接，所述丝杆上方固定有滑杆，且滑杆滑动穿过支杆，此防水卷材生产用加沙装置，通过驱动移动的沙箱铺沙，再经过刮板刮平和压辊压实，配合吸板对余沙的回收实现上沙工作，操作便捷，提高了生产效率，而且装置结构简单，成本低，降低投入。

Communication apparatus and system

This application discloses a communication apparatus and system. In the communication apparatus, a first phase difference coupler is coupled to a third phase shifter and a fourth phase shifter, and is coupled to a cross coupler and a first combiner; and a second phase difference coupler is coupled to a fifth phase shifter and a sixth phase shifter, and is coupled to a second phase shifter and a second combiner. A second output port of the first phase difference coupler is coupled to a first input port of the cross coupler, a first output port of the second phase difference coupler is coupled to an input port of the second phase shifter, and an output port of the second phase shifter is coupled to a second input port of the cross coupler. An input port is coupled to an input port of the third phase shifter, an input port of the fourth phase shifter, an input port of the fifth phase shifter, and an input port of the sixth phase shifter. An output port is coupled to an output port of a first phase shifter and an output port of the second combiner. When beamforming is performed by using the communication apparatus, a quantity of used phase shifters can be reduced, a plurality of beams can be flexibly adjusted and controlled, and independent scanning by each beam can be implemented.

Visual inspection training board for artificial intelligence deep learning

A computing system includes an automatic optical inspection (AOI) and a database that stores images of a plurality of visual inspection (VI) training boards. Each of the visual inspection (VI) training boards includes at least one intended defect. The AOI system includes an artificial intelligence (AI) algorithm implemented in an automatic optical inspection (AOI) system. The AOI system trains the AI algorithm to learn at least one target defect based on the at least one intended defect including in the plurality of VI training boards, analyzes a production printed circuit board (PCB), and determines either a non-defective PCB in response to the AI algorithm determining the production PCB excludes the at least one target defect, or a defective PCB in response to the AI algorithm determining the production PCB includes at least one target defect.

Communication apparatus and system

A communication apparatus includes a phase shifter, an input port, and an output port. The phase shifter includes a first structure that includes a first phase difference coupler, a second phase difference coupler, a first, second, third, fourth, a fifth and a sixth phase shifter, a cross coupler, a first combiner, and a second combiner. The first phase difference coupler is coupled to the third and fourth phase shifter, and is further coupled to the cross coupler and the first combiner. The second phase difference coupler is coupled to the fifth and sixth phase shifter, and is further coupled to the second phase shifter and the second combiner. A second output port of the first phase difference coupler is coupled to a first input port of the cross coupler. A first output port of the second phase difference coupler is coupled to an input port of the second phase shifter.