Abstract: The present disclosure provides a method and an Internet of Things system for determining traffic time in a smart city. The method may include: obtaining traffic data information transmitted by the sensor network platform based on at least one object platform, wherein the traffic data information includes itinerary information of a user, vehicle information of a preset route, and channel information of a preset channel; determining a passing time of the preset channel in the preset route from a current location to a target location through processing the traffic data information based on a time prediction model, wherein the time prediction model includes a first embedding layer, a traffic flow distribution layer, a second embedding layer, a queuing distribution layer, and a channel passing time output layer, and the time prediction model is a machine learning model.

Abstract: The embodiments of the present disclosure provide methods and systems for power-supply management in a smart urban based on Internet of things (IoT), performed by an urban power-supply management platform. The method includes obtaining a first power-generation data by a sensor network platform; wherein the first power-generation data is determined by summarizing second power-generation data, and the second power-generation data is residential self-power-generation data; determining a power-supply prediction based on first power-generation data and environmental data; and sending the power-supply prediction to the power-supply company.

Abstract: The present disclosure provides an Industrial Internet of Things system conducive to system scalability and control method thereof. The system comprises a user platform, a service platform, a management platform, a sensor network platform, and an object platform. The service platform or the sensor network platform adopts independent layout. The service platform and the sensor network platform both include sub platforms and each sub platform is provided with a database, a processor, and/or an information channel. The object platform includes a production line, and the production line is configured with a plurality of sensors. In each sub platform of the sensor network platform, a same communication protocol is used with the sensors connected to a same sub platform of the sensor network platform. Any sub platform of the sensor network platform is connected with a unique sub platform of the service platform through the management platform.

Abstract: The disclosure relates to a compact design method for inductive filtering transformer. According to the disclosure, the inductive filtering transformer adopts an approximative zero-impedance design under the premise of satisfying the filtering performance. The direct optimization objective is to minimize the distance from the transformer core center to the outermost winding. This disclosure balances the constraint of winding impedance matching and transformer size optimization and satisfies the application of limited installation space.

Abstract: A method for manufacturing a semiconductor device includes providing a substrate structure including a substrate, an interlayer dielectric layer, multiple trenches in the interlayer dielectric layer including first, second, third trenches for forming respective gate structures of first, second, and third transistors, forming an interface layer on the bottom of the trenches; forming a high-k dielectric layer on the interface layer and sidewalls of the trenches; forming a first PMOS work function adjustment layer on the high-k dielectric layer of the third trench; forming a second PMOS work function adjustment layer in the trenches after forming the first PMOS work function adjustment layer; forming an NMOS work function layer in the trenches after forming the second PMOS work function adjustment layer; and forming a barrier layer in the trenches after forming the NMOS work function layer and a metal gate layer on the barrier layer.

Abstract: The present disclosure provides a broadband cascaded splitting film array waveguide and a display system comprising the same. The cascaded splitting film array waveguide includes a plurality of glass substrates and a splitting film array, each film of the splitting film array is sandwiched between two adjacent glass substrates and consists of a plurality of H coatings and L coatings alternately arranged in sequence, wherein the H coatings are coatings made of a high refractive index material, the L coatings are coatings made of a low refractive index material, each film of the splitting film array has an even number of coatings, and thicknesses an, pn of the coatings of the film are selected based on the band width and angle of the light beam.

Abstract: A method and apparatus for recommending information are provided. The method includes: acquiring, in response to determining that a user enters a preset interface based on a first preset operation of the user, operation information within a preset length of time before the user performs the first preset operation; determining behavior data of the user browsing the preset interface based on the operation information; and determining recommendation information for the user based on the behavior data, and displaying the recommendation information in the preset interface.

Abstract: The present disclosure provides a method, an Internet of Things system and medium for monitoring smart gas harmful components. The method comprises: obtaining composition information of a gas and use information of a user; determining a generation rate of harmful components of the gas based on the composition information and the use information; and generating warning information in response to the generation rate of the harmful components being greater than a generation rate threshold.

Abstract: The embodiments of the present disclosure provide an Industrial Internet of Things system for abnormal analysis, a method, and a storage medium thereof. The Industrial Internet of Things system includes a management platform, and the management platform is configured to obtain an ordered set of instructions for a preset time period, the ordered set of instructions including a plurality of instructions, and instruction content of each instruction of the plurality of instructions including at least one of instruction type, instruction parameter, and instruction execution time; determine whether there is an abnormal instruction based on the ordered set of instructions; and analyze and modify the abnormal instruction in response to a determination that there is the abnormal instruction.

Abstract: The present disclosure discloses a battery module, a power battery, and a vehicle. The battery module includes a plurality of cell layers laminated on each other and a fixation bracket. Each cell layer includes a plurality of cells arranged in parallel. Each cell has an explosion-proof opening. For every two adjacent cell layers of the cell layers, more than half the number of the explosion-proof openings in one cell layer face towards a first direction, and more than half the number of the explosion-proof openings in the other one cell layer face towards a second direction. The first direction is different from the second direction. The fixation bracket is located at each of two sides of the cell layers. Each of both ends of each cell is fixed to the fixation bracket that is on a same side as the end.

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 embodiments of the present disclosure provide a method and an Internet of Things system for processing a work order of a gas platform based on smart gas operation. The method includes: obtaining execution data of the gas work order; determining at least one gas problem corresponding to the gas work order and a reference reason of the at least one gas problem based on the execution data; determining a target processing scheme of the gas work order based on the at least one gas problem and the reference reason, and sending the target processing scheme to a user terminal of an executant; in response to that a feedback of the user terminal satisfies a feedback preset condition, improving a risk level of the gas work order and providing an early warning notification.

Abstract: Provided are CSI feedback and receiving methods, apparatuses, a device, and a storage medium. The method includes: a terminal determines PMI, the PMI includes at least one of: first base vector information, second base vector information, second coefficient amplitude information or phase information; for one transmission layer, a frequency domain resource in one preset frequency domain unit corresponds to one precoding vector, the precoding vector is a linear combination of first base vectors, and weighting coefficients used in the linear combination of the first base vectors are first coefficients; on multiple frequency domain units contained in a CSI feedback band, a vector composed of first coefficients corresponding to a same first base vector is a linear combination of second base vectors, and weighting coefficients used in the linear combination of the second base vectors are second coefficients; and the terminal feeds back CSI containing the PMI to a base station.

Abstract: A mobile edge computing method and apparatus are provided. The method which is implemented by a mobile edge computing (MEC) management network element includes: receiving an MEC virtualization resource request sent by a control plane of a target radio access network (RAN), wherein the control plane belongs to the target RAN to which user equipment (UE) is handed over, and the MEC virtualization resource request includes an MEC computing resource requirement of the UE; creating, based on the MEC virtualization resource request, a new virtual machine (VM) on an MEC server for the UE, wherein the new VM is used on the target RAN side after the handover; and sending first information of the new VM to the control plane, wherein the first information includes an ID of the new VM. According to the application, the efficiency of usage of resources during a handover of UE is significantly improved.

Abstract: Embodiments provide a method, apparatus and device of reconstructing non-Kronecker structured channels, applicable to communications. A weight matrix is determined for emulating link characteristics of a reconstructed channel, and includes a weight corresponding to each ray mapped to a probe antenna. In each cluster, rays mapped to each probe antenna have different weights with each other. For each cluster, a time-varying fading channel impulse response of each ray of the cluster mapped to a probe antenna is calculated using the weight matrix. The time-varying fading channel impulse response includes a transition equation for each probe antenna describing mapping of rays of the cluster to the probe antenna. A transition matrix from each probe antenna to receiving antennas of a device under test is determined. A product of the time-varying fading channel impulse response of the cluster multiplied by the transition matrix serves as a channel impulse response of the cluster.

Abstract: The present disclosure provides a preset management method of a gas pipeline network for a smart gas, which is performed by a smart gas management platform. The smart gas management platform comprises a smart user service management sub-platform, a smart operation management sub-platform and a smart gas data center. The method comprises: obtaining, by the smart gas data center, a region feature of each region within a target range through a smart gas sensing network platform; determining, by the smart operation management sub-platform, a gas demand degree of the each region based on the region feature of the each region; determining, by the smart operation management sub-platform, a region as a first-class region based on the gas demand degree in the region meeting a preset condition, and determining a gas pipeline network opening scheme for the region.

Abstract: Embodiments of the present disclosure provide a method for managing smart gas work order implementation and IoT system, the method being executed by a smart gas management platform, comprising: obtaining gas work order information and user information from a library of work orders to be assigned; and determining an implementation priority of gas work orders based on gas work order information and user information; determining the implementation scheduling scheme for gas work order based on implementation priority; matching a pre-processing scheme for gas work order through a vector database based on at least one of work order type, fault type, and implementation scheduling scheme; and executing the pre-processing scheme at pre-processing time and pushing the pre-processing result to a work terminal of the implementer; determining the implementation scheduling scheme of gas work order according to the implementation priority of gas work order may reasonably arrange gas work order and improve the processing eff

Abstract: A terminal according to an aspect of the present disclosure includes: a control section that, in a case where a first uplink channel and a plurality of second uplink channels having a lower priority than the first uplink channel and not overlapping in a time domain are overlapping, performs control to map at least one of uplink control information corresponding to each of the plurality of second uplink channels to the first uplink channel; and a transmitting section that uses the first uplink channel to transmit at least one of the uplink control information corresponding to each of the plurality of second uplink channels.

Abstract: This disclosure describes methods, non-transitory computer readable media, and systems that can use a machine-learning model to classify or predict a probability of an oligonucleotide probe yielding an accurate genotype call or hybridizing with a target oligonucleotide—based on the oligonucleotide probe's nucleotide-sequence composition. To intelligently identify oligonucleotide probes that are more likely to yield accurate downstream genotyping—or more likely to successfully hybridize with target oligonucleotides—some embodiments of the disclosed machine-learning model include customized layers trained to detect motifs or other nucleotide-sequence patterns that correlate with favorable or unfavorable probe accuracy.

Abstract: The embodiments of the present disclosure provide a method and a system for controlling intelligent street lamps in a smart city based on an Internet of Things, the method is realized by a system for controlling intelligent street lamps in a smart city based on the Internet of Things, the system for controlling intelligent street lamps in a smart city includes a user platform, a service platform, a management platform, a sensor network platform and an object platform, the method is executed by the management platform, comprising: receiving road information acquired by the object platform through the sensor network platform, the road information including ambient light intensities and road images, and the object platform including a first sensor; determining road environment information based on the road images; and determining irradiation intensities of the street lamps on a road based on the ambient light intensities and the road environment information.