Abstract: A lamp includes a cover plate, a housing, and a light source assembly. At least one side wall of the housing is a light-emitting surface; the cover plate and the housing are enclosed to form an accommodating space; the light source assembly is arranged in the accommodating space; and the light source assembly emits light toward the cover plate.

Abstract: A method for preparing FCBGA package substrate can effectively reduce the size of the connecting hole by using the inductively coupled plasma etching, where the connecting hole having minimum width of 40 ?m or less can be manufactured, and multiple connecting holes having different sizes and/or different shapes can be formed at one time, which can effectively reduce the cost and increase the wiring-density of the FCBGA package substrate. The inductively coupled plasma etching applied to the build-up layer is a chemical reaction, which can avoid the problems of black edges and heat-affected zones caused by thermal ablation and form a metal connecting layer with good adhesion without slag removal, therefore, the present disclosure can prepare the FCBGA package substrate with good reliability and electrical performance by utilizing the inductively coupled plasma etching.

Abstract: Provided is a method for preparing high-purity indium (In). The method for preparing the high-purity In includes: distilling refined In to obtain an In vapor-containing gas; and condensing the In vapor-containing gas to obtain the high-purity In; where the distilling is conducted at a temperature of 1,000° C. to 1,100° C. under a vacuum degree of 1.0×10?3 Pa to 5.0×10?2 Pa; and the condensing is conducted at a temperature of 700° C. to 900° C. under a vacuum degree of 1.0×10?3 Pa to 5.0×10?2 Pa. The In vapor-containing gas is obtained by controlling the temperature and vacuum degree of the distilling to evaporate In and impurities with a vapor pressure higher than the In. The temperature and vacuum degree of the condensing are adjusted to condense the In in the In vapor-containing gas.

Abstract: A method for artificial intelligence recognition of ground penetrating radar images first obtains a noise-free high-resolution simulated ground penetrating radar image through forward simulation; obtains the ground penetrating radar field test data and determines the manual features; establishes a ground penetrating radar graph library based on the simulated ground penetrating radar image and the ground penetrating radar test image; uses a multi-layer convolutional neural network to process the measured image data of the target to determine the autonomous learning features; and finally, determines the final type and final location information of the target disease based on the manual features, the autonomous learning features, and the ground penetrating radar graph library using the committee discrimination method.

Abstract: Disclosed are an irradiation terminal based on a combination of rotating beam lines and an application thereof, the irradiation terminal comprises a combination of rotating beam lines, a rotating gantry, and an operation room. The combination of rotating beam lines includes a rotator beam line, a horizontal beam line, and an inclined beam line at a certain angle to the ground, and can achieve irradiation at different angles; the combination of rotating beam lines is arranged on the rotating gantry, and beam allocation for a plurality of operation rooms at different azimuth angles can be implemented through rotating a single combination of beam lines by 0-360 degrees by the rotating gantry; a plurality of rotating beam lines can be combined to achieve multi-angle beam irradiation in a single operation room.

Abstract: An information processing method, a computer device, and a storage medium are provided. The method includes: acquiring communication information to be processed; extracting a key information character of the communication information to be processed by using a programmable hardware unit of a data processor; and according to the key information character, determining whether there is matching target processing operation information in a generated character mapping table, a character mapping table is generated by the programmable software unit of the data processor according to historical key information characters of historical communication information and their corresponding historical processing operation information, and the target processing operation information includes at least one micro-service processing operation; if yes, executing the micro-service processing operation included in the target processing operation information for the communication information to be processed.

Abstract: The present disclosure is directed at pairing a host electronic device with a peripheral electronic device using visual recognition and deep learning techniques. In particular, the host device may receive an indication of a peripheral device via a camera or as a result of searching for the peripheral device (e.g., due startup of a related application or periodic scanning). The host device may also receive an image of the peripheral device (e.g., captured via the camera), and determine a visual distance to the peripheral device based on the image. The host device may also determine a signal strength of the peripheral device, and determine a signal distance to the peripheral device based on the signal strength. The host device may pair with the peripheral device if the visual distance and the signal distance are approximately equal.

Abstract: The present invention provides a positive electrode active material composition and application thereof. The positive electrode active material composition includes at least the following ingredients: an ingredient A as a first active substance; an ingredient B as a second active substance; the particle size distributions of the first active substance and the second active substance satisfy: the ratio DAmin/DBmin of Dmin is 0.25 to 1.5, the ratio DA10/DB10 of D10 is 0.1 to 0.6, the ratio DA50/DB50 of D50 is 0.1 to 0.35, the ratio DA90/DB90 of D90 is 0.12 to 0.67, and 0.2?[(DA90-DA10)/DA50]/[(DB90-DB10)/DB50]?13. The invention provides a positive electrode active material composition and application thereof, which may effectively improve the volumetric energy density of lithium-ion secondary batteries.

Abstract: The invention provides a positive electrode material, a preparation method thereof, and an electrochemical device. The positive electrode material is a secondary particle formed by the aggregation of primary particles. The secondary particle contains a cavity structure inside. Based on the positive correlation characteristics between the content of an A element in the positive electrode material particles and the cavity ratio, by introducing an appropriate proportion of the A element when the positive electrode material precursor is formed, the accompanying cavity structure formed inside the precursor is at an appropriate cavity ratio, in order to ensure that the positive electrode material may buffer the volume strain during the charge and discharge process through the internal appropriate proportion of the cavity structure, and alleviate the rupture phenomenon of the secondary particle during the cycle, thereby improving the cycle life and volume energy density of the positive battery.

Abstract: A positive electrode material, an electrochemical device, and an electronic apparatus are provided. The positive electrode material includes a first active material and a second active material; the first active material includes a lithium transition metal oxide; a general chemical formula of the second active material is Li1+(a/(2+a))Mn2a/(2+a)M6/(2+a)?2O2; wherein 0.5?a?1, M is selected from one or a plurality of Ni, Co, Mn, Mg, Al, Ti, Zr, Nb, La, Sr, and W, and the second active material produces a MnO2 coating layer when having a lithium potential higher than X volt(V), wherein 4.3?X?4.6. The positive electrode material of the disclosure has higher high-temperature cycle stability when used in a battery.

Abstract: A positive electrode active material, an electrochemical device, and an electronic apparatus are provided. The positive electrode active material includes a secondary particle. An inner side of the secondary particle includes first lithium manganese iron phosphate in a form of a primary particle, and an outer side of the secondary particle includes second lithium manganese iron phosphate in the form of the primary particle. A general chemical formula of the first lithium manganese iron phosphate is LixMnaFe1-a-a?M1a?PO4, 0.9?x?1.10, 0.4?a?0.9, and 0.001?a??0.02, and a general chemical formula of the second lithium manganese iron phosphate in the form of the primary particle is LiyMnbFe1-b-b?M2b?PO4, 0.9?y?1.10, 0<b>0.6, and 0.001?b??0.02, where a>b, M1 and M2 are each one or more of Mg, Ti, V, Ni, Co, and Al. An area ratio (S) of the first lithium manganese iron phosphate to the second lithium manganese iron phosphate satisfies S?(0.4?b)/(a?0.4).

Abstract: A mechanism is described for facilitating deep learning-based real-time detection and correction of compromised sensors in autonomous machines according to one embodiment. An apparatus of embodiments, as described herein, includes detection and capturing logic to facilitate one or more sensors to capture one or more images of a scene, where an image of the one or more images is determined to be unclear, where the one or more sensors include one or more cameras. The apparatus further comprises classification and prediction logic to facilitate a deep learning model to identify, in real-time, a sensor associated with the image.

Abstract: An embodiment of a semiconductor package apparatus may include technology to analyze an electronic image to determine indirect information including one or more of shadow information and reflection information, and provide the indirect information to a vehicle guidance system. Other embodiments are disclosed and claimed.

Abstract: A mechanism is described for facilitating deep learning-based real-time detection and correction of compromised sensors in autonomous machines according to one embodiment. An apparatus of embodiments, as described herein, includes detection and capturing logic to facilitate one or more sensors to capture one or more images of a scene, where an image of the one or more images is determined to be unclear, where the one or more sensors include one or more cameras. The apparatus further comprises classification and prediction logic to facilitate a deep learning model to identify, in real-time, a sensor associated with the image.

Abstract: The present application provides a display panel and a display device. The display panel includes a substrate, a gate electrode, an insulating barrier layer, and an active layer. The active layer is disposed on a side of the gate electrode away from or close to the substrate, and the insulating barrier layer is disposed between the gate electrode and the active layer; wherein band gap widths of materials of the insulating barrier layer are greater than a work function of a material of the gate electrode.

Abstract: A lithium secondary cell having an operating voltage ?4.35V, comprising a cathode comprising a doped LiCoO2 active material, an anode comprising graphite, and an electrolyte comprising a carbonate-based solvent, a lithium salt and both a succinonitrile (SN) and a lithium bis(oxalato)borate (LiBOB) additive wherein during the discharge at 45° C. from a state of charge (SOC) of 100% at 4.5V to a SOC of 0 at 3V at a C/10 rate the difference of the SOC at 4.42V and 4.35V is at least 7% but less than 14%, and wherein the active material is doped by at least 0.5 mole % of either one or more of Mn, Mg and Ti.

Abstract: Disclosed herein are methods and system for training artificial intelligence models configured to execute image segmentation techniques. The methods and system describe a server that receives a first image including a set of pixels depicting multiple objects. The server also receives a second image having a second set of pixels depicting the same set of objects. The server then analyzes the pixels from the first and second images. When a difference between at least one visual attribute of a pixel within the second image and a corresponding pixel within the first image satisfies a predetermined threshold, it will be encoded as spikes to send to the model, the model will be trained using supervised STDP rule by revising weights associated with the nodes within the AI model where the node corresponds to the pixels within the first and/or the second image.

Abstract: Example haptic gloves for virtual reality systems and related methods are disclosed herein. An example apparatus disclosed herein includes a glove to be worn on a hand of a user, an ultrasonic array disposed on an inner surface of the glove, and a control unit to activate the ultrasonic array device to generate haptic feedback on the hand of the user.

Abstract: Various systems and methods for optimizing use of environmental and operational sensors are described herein. A system for improving sensor efficiency includes object recognition circuitry implementable in a vehicle to detect an object ahead of the vehicle, the object recognition circuitry configured to use an object detection operation to detect the object from sensor data of a sensor array, and the object recognition circuitry configured to use at least one object tracking operation to track the object between successive object detection operations; and a processor subsystem to: calculate a relative velocity of the object with respect to the vehicle; and configure the object recognition circuitry to adjust intervals between successive object detection operations based on the relative velocity of the object.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for digital asset management. One of the methods includes: obtaining a request for creating a digital asset corresponding to a tangible asset, wherein the request comprises one or more characteristics of the digital asset; generating a blockchain contract corresponding to the tangible asset based on the one or more characteristics of the digital asset; and deploying the generated blockchain contract on a blockchain, wherein the deployed blockchain contract is executable to issue the digital asset corresponding to the tangible asset.