Abstract: A driving model training method, a driver identification method, an apparatus, a device and a medium are provided. The training method comprises: acquiring training behavior data of a user wherein the training behavior data are associated with a user identifier; acquiring training driving data associated with the user identifier based on the training behavior data; acquiring positive and negative samples from the training driving data based on the user identifier, and dividing the positive and negative samples into a training set and a test set; training the training set using a bagging algorithm, and acquiring an original driving model; testing the original driving model using the test set, and acquiring a target driving model. The training method effectively enhances generalization of the driving model, solves the problem of poor identification results of the existing driving identification model, and improves the accuracy rate of identifying driving of drivers.

Abstract: The present invention relates to a parallel robot system, including: a control apparatus; a parallel robot, including a mounting base, a moving platform, and a driving apparatus arranged between the mounting base and the moving platform, where the driving apparatus is configured to drive the moving platform to make multi-degree-of-freedom movement relative to the mounting base, and the driving apparatus receives a control signal from the control apparatus; a tracer, arranged on the moving platform; a passive arm, where the mounting base of the parallel robot is connected to one end of the passive arm; and an optical positioning and tracking apparatus, configured to track a spatial position of the tracer in real time and to send spatial position data of the tracer to the control apparatus.

Abstract: Provided is a production method of a high-rate lithium iron phosphate positive electrode material comprising first, weighing an iron source and a lithium source in a molar ratio of 1:1-1:1.05, then weighing 5-15% of carbon source and 0-1% of metal ion doping agent based on the total mass of the iron source and lithium source, adding water to the above weighed materials, ball milling and sand grinding the obtained slurry, so that the D50 after the sand grinding is controlled to be 100-200 nm, then spraying the mixture to obtain a precursor, putting the precursor into a sintering furnace for sintering at 650-700° C. under the protection of nitrogen gas, cooling to obtain a sintered material, then pulverizing the sintered material, sieving the pulverized material and removing iron to obtain the lithium iron phosphate. The prepared lithium iron phosphate has a good rate capability and a good cycle stability.

Abstract: A sample rack recovery method after an accidental interruption of operation of a sample rack manipulation device (10), a sample rack manipulation device (10) capable of performing the method, an automatic detection system (1) comprising the device (10), and a computer-readable medium in which a program for executing the method is stored. The device (10) comprises a conveying device (103) adapted to move in a transport area (TB) to convey a sample rack (30) between a loading/unloading area (TA), sampling areas (TD, TE) and a buffer area (TC). The method comprises: a conveying device detection step of detecting the state of a conveying device (103); a sample rack detection step of detecting the position of a sample rack (30) in a sample rack manipulation device (10); and a sample rack recovery step of conveying the sample rack (30) to a loading/unloading area (TA) by the conveying device (103) according to the detection results of the conveying device (103) and the sample rack (30).

Abstract: Systems, methods, and computer program products for recursive modifications are provided. An example imaging system includes a first infrared (IR) imaging device that generates first IR image data of a first field of view of the first IR imaging device at a first time and a computing device operably connected with the first IR imaging device. The computing device receives the first IR image data from the first IR imaging device and determines a first set of pixels and a second set of pixels from amongst a plurality of pixels associated with the first IR image data. The computing device further determines a first modification protocol for the first set of pixels and determines a second modification protocol for the second set of pixels. In response, the computing device generates a recursive modification input based upon the first and second modification protocols.

Abstract: Systems, methods, and computer program products for thermal contrast determinations are provided. An example imaging system includes a first infrared (IR) imaging device that generates first IR image data of a field of view of the first IR imaging device and a computing device connected with the first IR imaging device. The computing device receives probe temperature data from a temperature probe indicative of an external environment of the imaging system and receives the first IR image data from the first IR imaging device. The computing device determines background temperature data based upon the first IR image data, determines gas temperature data based upon the probe temperature data, and determines a thermal contrast for each pixel based upon a comparison between the background temperature data and the gas temperature data. The computing device further determines a detection limit for each pixel as a function of thermal contrast.

Abstract: Disclosed herein are batteries and methods of making batteries. The batteries disclosed herein generally comprise a cathode, an electrolyte capable of conducting protons and/or hydronium ions, and an anode comprising a material capable of absorbing protons and/or hydronium ions, wherein (i) the cathode is in contact with a cathode substance, or (ii) the electrolyte comprises a reduced cathode substance, or (iii) the cathode is in contact with a cathode substance and the electrolyte comprises a reduced cathode substance, and wherein the cathode substance is an oxide of one or more metals or an oxide of a halide.

Abstract: A layered double hydroxide (LDH) material, methods for using the LDH material to catalyse the oxygen evolution reaction (OER) in a water-splitting process and methods for preparing the LDH material. The LDH material includes nickel, iron and chromium species and possesses a sheet-like morphology including at least one hole.

Abstract: Systems, methods, and computer program products for recursive modifications are provided. An example imaging system includes a first infrared (IR) imaging device that generates first IR image data of a first field of view of the first IR imaging device at a first time and a computing device operably connected with the first IR imaging device. The computing device receives the first IR image data from the first IR imaging device and determines a first set of pixels and a second set of pixels from amongst a plurality of pixels associated with the first IR image data. The computing device further determines a first modification protocol for the first set of pixels and determines a second modification protocol for the second set of pixels. In response, the computing device generates a recursive modification input based upon the first and second modification protocols.

Abstract: Systems, methods, and computer program products for infrared (IR) image operations are provided. An example imaging system includes a first IR imaging device configured to generate first IR image data and a second IR imaging device configured to generate second IR image data. The system further includes a computing device that receives the first IR image data from the first IR imaging device and receives the second IR image data from the second IR imaging device. The computing device further determines a first feature representing a position of a gas plume based upon the first IR image data and a second feature representing a position of the gas plume based upon the second IR image data and determines a disparity between the first and second features. The computing device further determines a distance between the imaging system and the gas plume based upon the determined disparity.

Abstract: Systems, methods, and computer program products for multi-model emission determinations are provided. An example imaging system includes an infrared (IR) imaging device configured to generate second IR image data of a first field of view of the IR imaging device at a second time and a computing device operably connected with the IR imaging device. The computing device receives the second IR image data of the first field of view from the IR imaging device and accesses a first detection model associated with the first field of view of the IR imaging device. The first detection model is generated based upon first IR image data of the first field of view of the IR imaging device generated at a first time. The computing device further generates first spectral absorption data based upon the second IR image data and the first detection model for detecting a fugitive emission.

Abstract: Systems, methods, and computer program products for recursive modifications are provided. An example imaging system includes a first infrared (IR) imaging device that generates first IR image data of a first field of view of the first IR imaging device at a first time and a computing device operably connected with the first IR imaging device. The computing device receives the first IR image data from the first IR imaging device and determines a first set of pixels and a second set of pixels from amongst a plurality of pixels associated with the first IR image data. The computing device further determines a first modification protocol for the first set of pixels and determines a second modification protocol for the second set of pixels. In response, the computing device generates a recursive modification input based upon the first and second modification protocols.

Abstract: Systems, methods, and computer program products for infrared (IR) image operations are provided. An example imaging system includes a first IR imaging device configured to generate first IR image data and a second IR imaging device configured to generate second IR image data. The system further includes a computing device that receives the first IR image data from the first IR imaging device and receives the second IR image data from the second IR imaging device. The computing device further determines a first feature representing a position of a gas plume based upon the first IR image data and a second feature representing a position of the gas plume based upon the second IR image data and determines a disparity between the first and second features. The computing device further determines a distance between the imaging system and the gas plume based upon the determined disparity.

Abstract: Systems, methods, and computer program products for fugitive emission determinations are provided. An example imaging system includes a first infrared (IR) imaging device configured to generate first IR image data of a field of view of the first IR imaging device that include one or more data entries associated with a fugitive emission from an emission source. The system further includes a computing device operably connected with the first IR imaging device and configured to receive the first IR image data from the first IR imaging device, generate spectral absorption data based on the first IR image data, and determine a gas amount associated with the fugitive emission based upon the spectral absorption data. The computing device also determines a leak rate and leak duration of the fugitive emission based upon the determined gas amount and determines a total emission loss based on the same.

Abstract: Systems, methods, and computer program products for thermal contrast determinations are provided. An example imaging system includes a first infrared (IR) imaging device that generates first IR image data of a field of view of the first IR imaging device and a computing device connected with the first IR imaging device. The computing device receives probe temperature data from a temperature probe indicative of an external environment of the imaging system and receives the first IR image data from the first IR imaging device. The computing device determines background temperature data based upon the first IR image data, determines gas temperature data based upon the probe temperature data, and determines a thermal contrast for each pixel based upon a comparison between the background temperature data and the gas temperature data. The computing device further determines a detection limit for each pixel as a function of thermal contrast.

Abstract: Methods, apparatuses, and systems for improving gas detecting apparatuses are provided. An example gas detecting apparatus may comprise at least one imaging sensor; and a controller component, wherein the controller component is configured to: obtain image data comprising at least a first frame and a second frame, identify a number of matching features between the first frame and the second frame, and in an instance in which the number of matching features satisfies a predetermined threshold number of matching features, estimate a transformation between the first frame and the second frame, and perform one or more vibration correction operations.

Abstract: Systems, methods, and computer program products for infrared (IR) image operations are provided. An example imaging system includes a first IR imaging device configured to generate first IR image data and a second IR imaging device configured to generate second IR image data. The system further includes a computing device that receives the first IR image data from the first IR imaging device and receives the second IR image data from the second IR imaging device. The computing device further determines a first feature representing a position of a gas plume based upon the first IR image data and a second feature representing a position of the gas plume based upon the second IR image data and determines a disparity between the first and second features. The computing device further determines a distance between the imaging system and the gas plume based upon the determined disparity.

Abstract: The invention relates to a layered double hydroxide (LDH) material and methods for using the LDH material to catalyse the oxygen evolution reaction (OER) in a water-splitting process. The invention also provides a composition, a catalytic material, an electrode and an electrolyser including the LDH material. In particular, the LDH material includes a metal composite including cobalt, iron, chromium and optionally nickel species interspersed with a hydroxide layer.

Abstract: Disclosed is an improved fuel cell apparatus. The fuel cell apparatus comprises at least one fuel cell, the fuel cell comprising two bipolar plates (200a 200b), one providing an anode side, and the other providing a cathode side, the fuel cell being configured to have a fuel inlet and a fuel outlet, and a membrane electrode assembly (422) disposed between the fuel inlets (201) and fuel outlets (203) of the bipolar plates. The at least one fuel cell is retained by a housing, the housing comprising a first outer plate and a second outer plate, each located on an opposite face of the at least one fuel cell. The housing further comprises a cooling element support which is adapted to support one or more fans that are adapted to provide an air flow toward the at least one fuel cell.

Abstract: A catalyst comprising a porous electrically conductive substrate (such as a foam, carbon fibre paper and carbon fibre cloth) and a porous metallic composite of amorphous NiMoP coating at least a portion of the surface or multiple surfaces of the substrate. The composite preferably forms a continuous layer which coats the surfaces and pores of the substrate. Also methods for preparing and using the catalyst, for example in electrolytic water splitting.