Abstract: A method of calibrating a LiDAR sensor mounted on a vehicle includes positioning the vehicle at a distance from a target including a planar mirror and features surrounding the mirror. The vehicle is positioned and oriented relative to the mirror so that an optical axis of the LiDAR sensor is nominally parallel to the optical axis of the mirror, and the target is nominally centered at a field of view of the LiDAR sensor. The method further includes acquiring, using the LiDAR sensor, a three-dimensional image of the target including images of the features of the target and a mirror image of the vehicle formed by the mirror. The method further includes determining a deviation from an expected alignment of the LiDAR sensor with respect to the vehicle by analyzing the images of the features and the mirror image of the vehicle in the three-dimensional image of the target.

Abstract: Disclosed are a quantum computer operating system and a quantum computer. In the operating system, if the quantity of the free qubits on a certain chip in the quantum chip cluster is not less than the quantity required by the quantum computing task, selecting a first quantum bit whose reading fidelity is within a preset range from the free qubits and obtaining a nearby pair of quantum bits based on the community detection algorithm and the greedy algorithm, and combining them to form a qubit topological structure until the number of quantum bits is equal to the number required by the quantum computing task. Finally, mapping the quantum computing task to be processed with the qubit topological structure to execute the quantum computing task to be processed.

Abstract: The present disclosure relates to the field of biotechnology, and particularly to use of a tomato gene mSlBZR1L in changing the morphology of tomato fruits. The present disclosure discloses a tomato gene mSlBZR1L comprising a nucleotide sequence as set forth in SEQ ID No: 3, and the gene can extend the length of the tomato fruits.

Abstract: Disclosed are a quantum computing task processing method and a quantum computing task processing apparatus, and a quantum computer operating system. The method includes: cutting a quantum circuit corresponding to a quantum computing task into a plurality of quantum sub-circuits based on an evolution process of a quantum state of a qubit in the quantum circuit; separately preparing an initial quantum state of a qubit in each of the quantum sub-circuits; measuring a qubit, obtained after the initial quantum state is prepared, in each of the quantum sub-circuits, to obtain measurement results of each of the quantum sub-circuits; and combining the measurement results of each of the quantum sub-circuits to obtain computation results of the quantum computing task.

Abstract: An automated method for crab meat picking which has an image processing system configured with an imaging sub-system and an image processing sub-system acting in cooperation with each other where the image processing system operates in accordance with a processing routine. An image of a crab to be processed is obtained by the imaging sub-system which is transmitted to the image processing system where the processing routine determines appropriate cut lines to be made on the crab being processed based on instructions from the image processing sub-system. The crab being processed is then cut in accordance with the appropriate cutting lines developed.

Abstract: Systems, methods, and media for machine vision-guided robotic loading are provided. Such systems and methods can allow for more accurate object detection so as to allow for robotic picking or loading of an object from a pile or group of objects. In some embodiments, a camera is controlled to capture a background image of the object or group of objects. One or more illumination sources (such as, e.g., laser illuminators) are controlled to project immunization toward the object or group of objects within the field-of-view of the camera. The camera may be controlled to capture a scan image comprising the projected illumination. Based on the scan image, a depth map can be determined, which is provided to a machine learning model along with the background image. The output of the machine learning model can then provide information associated with one or more objects, such as location information, orientation information, and the like.

Abstract: A non-contact system for the sensing the concentration of a compound includes a hyperspectral imaging device configured to capture a hyperspectral image of a fluid, a flow cell configured to enable the capturing of a hyperspectral image of a fluid, a process, and a memory. The memory includes instructions stored thereon which, when executed by the processor, cause the system to generate a hyperspectral image of the fluid in the flow cell, generate several spectral signals based on the hyperspectral image, provide the spectral signal as an input to a machine learning network, and predict by the machine learning network the concentration of a compound in a fluid.

Abstract: A non-contact system for the sensing of pH includes a hyperspectral imaging device configured to capture a hyperspectral image of a fluid, a flow cell configured to enable the capturing of a hyperspectral image of a fluid, a process, and a memory. The memory includes instructions stored thereon, which, when executed by the processor, cause the system to generate a hyperspectral image of the fluid in the flow cell, generate several spectral signals based on the hyperspectral image, provide the spectral signal as an input to a machine learning network, and predict by the machine learning network a pH of a fluid.

Abstract: Intelligence guided system and method for fruits and vegetables processing includes a conveyor for carrying produces, various image acquiring and processing hardware and software, water and air jets for cutting and controlling the position and orientation of the produces, and a networking hardware and software, operating in synchronism in an efficient manner to attain speed and accuracy of the produce cutting and high yield and low waste produces processing. The 2nd generation strawberry decalyxing system (AVID2) uniquely utilizes a convolutional neural network (AVIDnet) supporting a discrimination network decision, specifically, on whether a strawberry is to be cut or rejected, and computing a multi-point cutline curvature to be cut along by rapid robotic cutting tool.

Abstract: A vision guided intelligent system for automated crab meat picking operates in a fully automated or semi-automatic modes of operation using a crab meat picking routine based on (a) the CNN model localization of back-fin knuckles algorithm, and/or (b) the Deep Learning model which accurately locates not only knuckle positions, but also crab legs and crab cores, with a high pixel accuracy (up to 0.9843), and low computation time. The subject system uses a concept of analyzing crab morphologies obtained from digital crab images, and, using a Deep Learning architecture integrated in the system, segments crab images into five regions of interest in a single step with high accuracy and efficiency. The image segmentation results are used for generating crab cut lines in XYZ and angular directions, determining starting cutting points in Z plane, and guiding cutting tools and end effectors to automatically cut crabs and harvest crab meat.

Abstract: Intelligence guided system and method for fruits and vegetables processing includes a conveyor for carrying produces, various image acquiring and processing hardware and software, water and air jets for cutting and controlling the position and orientation of the produces, and a networking hardware and software, operating in synchronism in an efficient manner to attain speed and accuracy of the produce cutting and high yield and low waste produces processing. The 2nd generation strawberry decalyxing system (AVID2) uniquely utilizes a convolutional neural network (AVIDnet) supporting a discrimination network decision, specifically, on whether a strawberry is to be cut or rejected, and computing a multi-point cutline curvature to be cut along by rapid robotic cutting tool.

Abstract: A thermally conductive composition particularly well suited for use as an underfill composition including a curable resin and filler particles having an average diameter of less than 25 microns, wherein the filler particles are present in an amount sufficient to provide a thermal conductivity of greater than 0.5 W/mK and a viscosity of less than 0.600 Pa·s at 90° C. as measured with a 20 mm parallel plate at shear rate of 30 1/s.