Abstract: A quantitative prediction method for gas content of deep marine shale includes: obtaining raw data of known wells; establishing relationship formulas between pore specific surface areas and adsorbed gas contents of a known well in an area as an adsorbed gas content quantitative prediction model; establishing relationship formulas between pore volumes and free gas contents of the known well as a free gas content quantitative prediction model; summing the adsorbed gas contents and corresponding free gas contents to obtain total gas contents; calculating adsorbed gas contents, free gas contents and total gas contents of the known wells; drawing a predicted adsorbed gas content contour map, a predicted free gas content contour map and a predicted total gas content contour map; and reading an adsorbed gas content, a free gas content and a total gas content of an unknown well in the area from the above contour maps.

Abstract: Disclosed are methods and apparatuses for user equipment (UE) selecting and scheduling in an intelligent wireless system. An embodiment of the subject application provides a base station (BS). The BS includes a processor and a wireless transceiver coupled to the processor. The processor is configured to: obtain a number N and a first channel gain threshold, wherein the number N and the first channel gain threshold are determined based at least in part on uplink channel state information between the BS and multiple UEs; transmit, with the wireless transceiver, a scheduling indicator report configuration to each of the multiple UEs; receive, with the wireless transceiver, multiple scheduling indicators; and select the number N of UEs for participating in local model training according to the multiple scheduling indicators.

Abstract: A method for combined characterization of pore structure includes steps as follows. Firstly, CO2, N2 and high-pressure mercury intrusion porosimetry characterization curves are plotted based on actual measurement data, then, average values of the overlapping range of the CO2 and N2 characterization curves are calculated, and a function yi?=ƒ(x) is fitted. Each pore volume yi? corresponding to each pore diameter xi is calculated, and a curve is plotted with xi as a horizontal coordinate and yi? as a vertical coordinate, thereby obtaining a characterization curve of the overlapping range between CO2 and N2 adsorptions. The same data processing is used to process the overlapping range data of the N2 and high-pressure mercury intrusion porosimetry characterization curves, to obtain the characterization curve between them. The characterization curves are spliced with the original CO2, N2, and high-pressure mercury intrusion porosimetry characterization curves to obtain a combined characterization curve.

Abstract: A method for calculating a surface relaxation rate of a shale includes: a relaxation time T distribution curve and a pore throat radius r distribution curve are obtained through experiments; abscissas of the two distribution curves are standardized, and the abscissa of the relaxation time T distribution curve is expanded or shrunk to ensure an abscissa value corresponding to a maximum ordinate value in the transformed relaxation time T distribution curve is same as an abscissa value corresponding to a maximum ordinate value in the pore throat radius r distribution curve; straight lines with a number of N parallel to a y-axis of a combined curve graph including the two distribution curves are drawn and a ? value corresponding to each straight line is calculated; and ? value with the number of N are processed to obtain a final surface relaxation rate ??.

Abstract: The present disclosure relates to active cancellation of frequency noise in lasers. One example embodiment includes a device. The device includes an optical cavity exhibiting a resonant optical frequency. The device also includes a laser. An output of the laser is locked to the resonant optical frequency. A first portion of the laser output is transmitted through the optical cavity to filter out high-frequency noise from the first portion of the laser output to generate a modified signal. Additionally, the device includes an acousto-optic modulator configured to generate a reference signal. Further, the device includes a feedforward circuit configured to receive a first portion of the reference signal and generate a feedforward signal. In addition, the device includes an electro-optic modulator configured to interfere a second portion of the reference signal with a second portion of the modified signal using the feedforward signal to generate an output signal.

Abstract: An unlocking assembly and a human body fixing device. The unlocking assembly includes a fixing plate, locking bodies, and a flexible member; the fixing plate is provided with fixing holes; the locking bodies are movably mounted in the fixing holes; the flexible member is connected to the locking bodies and is configured to drive the locking bodies to move towards a direction extending out of the fixing holes. Because the locking bodies are telescopically mounted in the fixing holes located on the fixing plate, and the flexible member can drive the locking bodies to move towards the direction extending out of the fixing holes, locking between the locking bodies and the fixing holes is released only by remotely controlling the flexible member.

Abstract: The disclosure includes a multiplexed telecommunication-band quantum network that utilizes atomic arrays in optical cavities. An example quantum networking system includes at least one quantum repeater node. The quantum repeater node includes an array of neutral atoms disposed in an optical cavity and a fiber-optic switch (FOS). The FOS is optically coupled to the optical cavity. The quantum repeater node also includes at least one beamsplitter. The at least one beamsplitter is optically coupled to the FOS.

Abstract: A method and device for controlling an autonomous driving vehicle, and an autonomous driving vehicle. Wherein the method comprises: detecting error information of different components in a vehicle, wherein the different components comprise at least one of the following: a power supply, a sensor, a navigation device, a log memory and a processing device; if the error information of any component is detected, feeding back the detected error information to a processor; restarting the vehicle’ automatic driving function based on a feedback result, wherein the feedback result is feedback by the processor according the detected error information. The present invention solves the technical problem that the autonomous driving vehicle in the related art cannot perform error information detection on the components in the vehicle which leads to the low reliability of the autonomous driving vehicle.

Abstract: A data collection device and method, and an autonomous driving system are provided. The data collection device includes multiple sensor modules integrated on a circuit board, and a processor connected to the circuit board. The multiple sensor modules are configured to collect traveling information of a target vehicle in a traveling process. The processor is configured to send the traveling information to an Industrial Personal Computer (IPC) such that the IPC analyzes the traveling information and generates operation instructions.

Abstract: Provided are a method and apparatus for upgrading firmware of a transfer device on a mobile carrier and a non-transitory storage medium. The method includes that: according to present version information of a firmware package of a transfer device and a firmware package version file including update version information, whether the firmware package in the transfer device is able to be upgraded is determined; in a case that it is, determined that the transfer device is able to be upgraded, whether the update version information matches with the present version information is determined; and in a case that the update version information does not match with the present version information, the firmware package in the transfer device is upgraded.

Abstract: Described herein are systems, methods, and non-transitory computer-readable media configured to determine times embedded in a plurality of signals. A time deviation is detected based on the times embedded in the plurality of signals. In response, signal strengths associated with the plurality of signals are determined. Data is timestamped based on time embedded a signal that has a highest signal strength.

Abstract: The invention discloses a method and device for controlling an autonomous driving vehicle, and an autonomous driving vehicle. Wherein the method comprises: detecting error information of different components in a vehicle, wherein the different components comprise at least one of the following: a power supply, a sensor, a navigation device, a log memory and a processing device; if the error information of any component is detected, feeding back the detected error information to a processor; restarting the vehicle' automatic driving function based on a feedback result, wherein the feedback result is feedback by the processor according the detected error information. The present invention solves the technical problem that the autonomous driving vehicle in the related art cannot perform error information detection on the components in the vehicle which leads to the low reliability of the autonomous driving vehicle.

Abstract: Provided are a method and apparatus for upgrading firmware of a transfer device on a mobile carrier and a non-transitory storage medium. The method includes that: according to present version information of a firmware package of a transfer device and a firmware package version file including update version information, whether the firmware package in the transfer device is able to be upgraded is determined; in a case that it is, determined that the transfer device is able to be upgraded, whether the update version information matches with the present version information is determined; and in a case that the update version information does not match with the present version information, the firmware package in the transfer device is upgraded.

Abstract: Described herein are systems, methods, and non-transitory computer-readable media configured to determine times embedded in a plurality of signals. A time deviation is detected based on the times embedded in the plurality of signals. In response, signal strengths associated with the plurality of signals are determined. Data is timestamped based on time embedded a signal that has a highest signal strength.

Abstract: A data collection device and method, and an autonomous driving system are provided. The data collection device includes multiple sensor modules integrated on a circuit board, and a processor connected to the circuit board. The multiple sensor modules are configured to collect traveling information of a target vehicle in a traveling process. The processor is configured to send the traveling information to an Industrial Personal Computer (IPC) such that the IPC analyzes the traveling information and generates operation instructions.

Abstract: The present application discloses a combinatory sensor apparatus. The apparatus includes a sensor mounting frame and at least one sensor; the sensor mounting frame includes a sensor mounting base plate and at least one sensor support component, the sensor mounting base plate is mounted on a top of a driverless vehicle, and the at least one sensor support component is mounted on the sensor mounting base plate for supporting the at least one sensor; and the at least one sensor includes a global positioning system antenna and/or a laser radar. This implementation guarantees the consistency of sensor installation locations.

Abstract: The present invention provides a local trajectory planning method and apparatus for a smart vehicle, pre-acquiring path planning information from a starting location to a destination; the method comprising: determining a target lane; sampling alternative curves from a current location of the smart vehicle to a target lane according to the path planning information; performing speed planning for the sampled alternative curves according to a current travel environment; selecting one of the alternative curves after the speed planning is performed as a target trajectory. Local trajectory planning of the smart vehicle is achieved through the present invention.

Abstract: The present application discloses a combinatory sensor apparatus. The apparatus includes a sensor mounting frame and at least one sensor; the sensor mounting frame includes a sensor mounting base plate and at least one sensor support component, the sensor mounting base plate is mounted on a top of a driverless vehicle, and the at least one sensor support component is mounted on the sensor mounting base plate for supporting the at least one sensor; and the at least one sensor includes a global positioning system antenna and/or a laser radar. This implementation guarantees the consistency of sensor installation locations.

Abstract: The present invention provides a local trajectory planning method and apparatus for a smart vehicle, pre-acquiring path planning information from a starting location to a destination; the method comprising: determining a target lane; sampling alternative curves from a current location of the smart vehicle to a target lane according to the path planning information; performing speed planning for the sampled alternative curves according to a current travel environment; selecting one of the alternative curves after the speed planning is performed as a target trajectory. Local trajectory planning of the smart vehicle is achieved through the present invention.