Abstract: Provided is a movable electro-hydraulic composite drive spraying robot with a large working space, comprising movable bases, there being a plurality of movable bases cooperatively arranged for bearing a drive rope adjustment module, profile supporting columns in the driving rope adjusting module respectively being fixed on the movable bases, the plurality of movable bases encircling an operating space, a adjustable auxiliary motion platform that is movable being erected in the operating space, a rotary motion platform being arranged below the adjustable auxiliary motion platform, the adjustable auxiliary motion platform and the rotary motion platform being connected by means of a hydraulic push rod, the bottom end surface of the rotary motion platform being provided with a spray gun, and a balance mechanism and a fixed support mechanism for balancing the traction force of the rope and maintaining the balance of the mechanism also being mounted on the movable bases.

Abstract: The embodiments of the present disclosure provide a method for troubleshooting potential safety hazards of a compressor in a smart gas pipeline network and an Internet of Things system thereof. The method comprises: performing a purification process on sound data of a gas compressor, and determining a target sound feature; establishing a feature data vector library based on networked data and reference device data; determining a current gas data vector and a current device data vector based on gas data and device data, respectively; searching the feature data vector library based on the current gas data vector and the current device data vector, and determining a reference sound feature and a reference vibration feature that meet a preset condition as a standard sound feature and a standard vibration feature; and predicting whether there is a safety hazard in the gas compressor using a hazard model.

Abstract: The invention provides a non-contact indoor thermal environment control system and a method based on reinforcement learning, which adopts a non-contact measurement mode to collect the video information of indoor personnel and judge the hot/cold state of the personnel through the processing of the video information. It can reduce the intrusiveness caused by the use of measuring equipment. At the same time, the invention adopts the reinforcement learning method to train and obtain the optimal thermal environment control strategy according to the environmental information, the hot and cold state of the personnel and the previous regulation strategy, which not only considers the difference of individual thermal comfort, but also satisfies the dynamic thermal comfort of personnel, improves the regulation efficiency of indoor thermal environment. At the same time, it can reduce the energy consumption of HVAC, achieve a sustainable state of energy saving and environmental protection.

Abstract: Edge device video processing with encryption of confidential image content is provided. The process includes obtaining, by the edge device, a video stream, and partitioning image content of the video stream into a confidential part and a non-confidential part. Further, the process includes encrypting, by the edge device, the confidential part of the image content to obtain encrypted image content from the confidential part and non-encrypted image content from the non-confidential part of the image content. In addition, the process includes encoding, by the edge device, the encrypted image content and the non-encrypted image content into an encoded video stream, and transmitting the encoded video stream to one or more processing servers.

Abstract: The present disclosure relates to a method for generating a novel impedance configuration for a three-degree-of-freedom (3DOF) leg of a hydraulically-driven legged robot. The method includes: separately determining variations of input signals of an inner position-based control loop and an inner force-based control loop of a hydraulic drive unit of each joint based on an obtained mathematical model; generating a novel impedance configuration in which position-based control is performed on a hydraulic drive unit of a hip joint, and force-based control is performed on hydraulic drive units of a knee joint and an ankle joint in a hydraulic drive system of the leg of a to-be-controlled robot; and performing forward calculation by using the leg mathematical model, to obtain an actual position and a force variation of the foot of the leg of the to-be-controlled robot to control motion of the foot of the to-be-controlled robot within motion space.

Abstract: A method, an Internet of Things system, and a medium for smart gas maintenance management order dispatch warning are provided. The method comprises: assigning a gas work order to an order receiver in response to an assignment module, and determining an warning characteristic of the gas work order; wherein, determining the warning characteristic of the gas work order comprise: based on the fault location characteristic of the gas work order, determining the traffic warning value through the traffic warning value determination module; determining the fault warning value based on the gas fault characteristic of the gas work order through the fault warning value determination module; in response to the warning monitoring module monitoring that the warning characteristic meet the preset condition, providing a warning to the order receiver by the warning module.

Abstract: The present disclosure provides a risk assessment method of water inrush in tunnels constructed in water-rich grounds. The method includes the following steps: simulating a tunnel excavation process by finite element software MIDAS GTS NX and fluid-structure interaction; according to a research method of control variables, analyzing effects of a groundwater level, an elastic modulus and advanced pipe shed grouting on the stability of surrounding rock, and improving an algorithm of a radial basis function (RBF) neural network using a Grey Relation Analysis (GRA)-based Partitioning Around Medoid (PAM) clustering algorithm to assess risks of water inrush occurring in Qingdao area.

Abstract: The embodiments of the present disclosure provide methods and systems for energy measuring based on natural gas data of a smart gas meter, including establishing the gas IoT. The object platform obtains consumed gas volume data and location data of the smart gas meter as first data and second data, and sending them to the management platform through the sensor network platform. The management platform generates consumed gas preprocessing data based on the first data and the second data, and generates energy measurement data after performing the computation outside the gas IoT on the consumed gas preprocessing data by the cloud platform outside the gas IoT. The management platform sends the energy measurement data to the user platform configured in a regional pipeline network center through the service platform. The user platform performs gas energy measurement of the smart gas meter based on the energy measurement data.

Abstract: A method for reinforcing soft ground by post-grouting combined with pressurized vacuum preloading is proposed, by pre-burying prefabricated vertical drains and air-boosted pipes in granular material piles, and the air-boosted pipes are used as grouting pipes to reduce the number of times of piling, which not only improves the construction efficiency, but also reduces the structural disturbance of the soil and the influence of smear effect, thus reducing the impact on the radial permeability and the radial consolidation coefficients. The method does not use geotextile bags for granular materials, which can avoid the problem of forming a localized clogging area around the geotextile bags, and the method not only improves the efficiency of vacuum transfer in a pre-consolidation stage, but also improves the grouting effect in the later stage, effectively enhances the strength of soft soil and makes granular material piles and the surrounding soil form composite ground.

Abstract: The present disclosure provides a video definition grade determining method and apparatus, a server, a storage medium and a system.

Abstract: Methods, systems, and devices for wireless communication are described. In some wireless communications systems, a user equipment (UE) may support two or more uplink switching periods for transmit chain switching. The UE may transmit a UE capability message indicating the UE capability to support a first uplink switching period and a second uplink switching period for transmit chain switching. The first uplink switching period and the second uplink switching period may each correspond to different switching periods associated with configuration switches between different transmit chain configurations of the UE. The UE and a base station may select an uplink switching period from among the first uplink switching period and the second uplink switching period. The UE may transmit an uplink data message to the base station after a preparation time that is based on the uplink switching period.

Abstract: A vertical transport field effect transistor (VTFET) comprising: a plurality of FET structures on a substrate; the plurality of FET structures comprising: a first n-type FET structure oriented in a first plane direction relative to the substrate; and a first p-type FET structure oriented in a second plane direction relative to the substrate; wherein the first n-type FET structure and the first p-type FET structure each comprises a FIN having a FIN height, H, wherein H defines the FIN height orthogonal to a surface of the substrate, each FIN being configured to transport charge carriers orthogonal to the surface of the substrate along the FIN height.

Abstract: A laterally diffused metal oxide semiconductor device and a preparation method thereof are disclosed. The semiconductor device includes: a substrate; a body region having a first conductivity type and formed in the substrate; a drift region, having a second conductivity type, formed in the substrate and adjacent to the body region; a field plate structure, formed on the drift region, a lower surface of an end of the field plate structure close to the body region being flush with the upper surface of the substrate, and the end of the field plate structure close to the body region also having an upwardly extending inclined surface; and a drain region, having a second conductivity type, formed in an upper layer of the drift region, and in contact with the end of the field plate structure away from the body region.

Abstract: Embodiments of this application disclose a video classification method performed by a computer device and belong to the field of computer vision (CV) technologies. The method includes: obtaining a video; selecting n image frames from the video; extracting respective feature information of the n image frames according to a learned feature fusion policy by using a feature extraction network, the learned feature fusion policy being used for indicating proportions of the feature information of the other image frames that have been fused with feature information of a first image frame in the n image frames; and determining a classification result of the video according to the respective feature information of the n image frames. By replacing complex and repeated 3D convolution operations with simple feature information fusion between adjacent image frames, time for finally obtaining a classification result of the video is therefore reduced, thereby having high efficiency.

Abstract: A method for optimizing a deep learning operator, includes: calling a method of reading an image object to read target data from an L1 cache of an image processor to the processor in response to detecting the target data in the L1 cache, performing a secondary quantization operation on the target data in the processor to obtain an operation result and writing the operation result into a main memory of the image processor. The target data is fixed-point data obtained after performing a quantization operation on data to be quantized in advance and the data to be quantized is one of the following: float-point data of an initial network layer of the neural network model and fixed-point data outputted from a network layer previous to the current network layer.

Abstract: Introduced here is at least one technique to better estimate interference at a receiver. The technique includes receiving a plurality of reference signals, which each have information indicative of noise. Thus, the technique further includes, for each reference signal, determining a noise estimation and determining a distance metric and log-likelihood ratio (LLR) of the noise estimation. Once the distance metric and LLR of each reference signal is determined, the receiver can determine a final LLR based on the distance metric and LLR of each reference signal. In this manner, a final LLR is determined. This technique can be applied by any device operating on MIMO technology.

Abstract: Disclosed are a method for preparing a porcine-derived interferon-delta 5 (pIFN-?5) and an application of the pIFN-?5, where the method for preparing pIFN-?5 includes the following steps: step S1, obtaining a DNA fragment containing pIFN-?5 gene through reverse transcription-polymerase chain reaction (RT-PCR) amplification by using the total RNA of pretreated porcine small intestinal epithelial cells IPEC-J2; step S2, inserting the DNA fragment containing pIFN-?5 gene into an exogenous expression vector to construct a recombinant expression vector for expressing the pIFN-?5 gene; and step S3, introducing the recombinant expression vector into a suitable host cell, and driving the host cell to express the pIFN-?5 gene to obtain the pIFN-?5. The recombinant pIFN-?5 protein is used to prepare drugs or preparations for inhibiting infection of porcine epidemic diarrhea virus (PEDV), porcine transmissible gastroenteritis virus (TGEV), porcine delta coronavirus (PDCoV) and porcine rotavirus (PRoV).

Abstract: The present disclosure provides an Industrial Internet of Things system for intelligent repair of manufacturing equipment and a control method. The Industrial Internet of Things system includes a management platform, a sensor network platform, and an object platform interacting in sequence. The object platform is configured as a plurality of manufacturing equipment arranged in sequence according to a process sequence on the assembly line. The management platform is configured to issue self-repair instructions and failure handling instructions corresponding to the intelligent repair method to the corresponding manufacturing equipment through the sensor network platform, so as to realize the automatic repair of manufacturing equipment, reduce the cost of manual troubleshooting, and ensure the normal production and manufacturing of the assembly line.

Abstract: The present technology relates to an intelligent road infrastructure system and, more particularly, to systems and methods for a heterogeneous connected automated vehicle highway (CAVH) network in which the road network has various RSU and TCU/TCC coverages and functionalities. The heterogeneous CAVH network facilitates control and operations for vehicles of various automation level and other road users by implementing various levels of coordinated control among CAVH system entities and providing individual road users with detailed customized information and time-sensitive control instructions, and operations and maintenance services.

Abstract: An optical fiber connector includes a connecting unit, an adapter unit, and an attenuation unit. The adapter unit includes an insertion seat connected removably to a main housing of the connecting unit, and two guide frame bodies located respectively at two opposite sides of the insertion seat in a transverse direction. The insertion seat has two insertion holes spaced apart in the transverse direction and extending in a front-rear direction. Each guide frame body extends in the front-rear direction away from the connecting unit. The attenuation unit includes two attenuation components, two rear ferrules, and two front ferrules. The attenuation components are arranged in the transverse direction and disposed within the main housing. The rear ferrules respectively extend rearwardly from rear ends of the attenuation components into the insertion holes. The front ferrules respectively extend forwardly from front ends of the attenuation components through and outwardly of the main housing.