Abstract: A damping ratio measuring device for consolidation equipment includes a bracket, a consolidation pressure device and a sleeve. The consolidation pressure device is set at the top of the bracket, and the output direction of the consolidation pressure device is directly below. The bottom of the consolidation pressure device is connected with a pressurized piston. A displacement sensor is set on the pressurized piston. The sleeve is set directly below the consolidation pressure device, the pressurized piston extends from the top of the sleeve, the diameter of the pressurized piston is the same as the inner diameter of the sleeve, the bottom of the sleeve is sealed with a support plate, and there are two bending element sensors at the top of the support plate and the bottom of the pressurized piston.

Abstract: Various embodiments of the present disclosure provide a method performed by a management system. The method comprises instructing at least one robot, which may be a drone, a land robot or an underwater robot, to patrol a path for event detection based on a path database maintained according to people's activities within a predefined area and obtaining data from the at least one robot. The method also comprises detecting an event based on the data obtained from the at least one robot and reporting the event to e.g. any of a person, a police station, rescue people and a server.

Abstract: The present disclosure provides a method and apparatus for calculating carbon emission response based on carbon emission flows. The method includes: calculating a total carbon flow rate of a power system from a carbon flow rate of each of carbon meter users, the carbon flow rate being obtained based on a carbon emission flow of the carbon meter user; determining whether the total carbon flow rate is greater than a carbon emission response threshold; and calculating, in response to determining that the total carbon flow rate is greater than the carbon emission response threshold, a target carbon emission reduction of one or more of the carbon meter users during a carbon emission response period based on target carbon emission response demand, and initiating a carbon emission response based on the target carbon emission reduction.

Abstract: Systems, devices, media and methods are presented for a human pose tracking framework. The human pose tracking framework may identify a message with video frames, generate, using a composite convolutional neural network, joint data representing joint locations of a human depicted in the video frames, the generating of the joint data by the composite convolutional neural network done by a deep convolutional neural network operating on one portion of the video frames, a shallow convolutional neural network operating on a another portion of the video frames, and tracking the joint locations using a one-shot learner neural network that is trained to track the joint locations based on a concatenation of feature maps and a convolutional pose machine. The human pose tracking framework may store, the joint locations, and cause presentation of a rendition of the joint locations on a user interface of a client device.

Abstract: An example system includes an encoder configured to receive a bit string and encode the bit string into a visual representation, and a decoder configured to receive an image including the visual representation and decode the bit string from the visual representation. In some examples, the encoder and decoder are trained as a pair by obtaining a training bit string, encoding the training bit string into a training visual representation using the encoder, decoding the training visual representation using the decoder to generate a decoded bit string, determining an error between the training bit string and the decoded bit string, and updating parameters of the encoder and decoder to reduce the error.

Abstract: Provided is a carbon emission flow calculation method for a regional integrated energy system.

Abstract: Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. For example, embodiments of the present invention can, in response to receiving information, predict availability of respective services deployed in a cloud environment. Embodiments of the present invention can then calculate an elastic index based on the predicted availability of the respective services.

Abstract: Disclosed is a device authentication method used in a server, comprising: (S11) receiving a certification request sent by at least one terminal device; (S12) parsing the certification request so as to perform authentication on physical code information of the terminal device according to a preset device table; (S13) in a situation where the physical code information of the terminal device matches a preset terminal device code, determining that the terminal device passes authentication; (S14) in a situation where the physical code information of the terminal device does not match any preset terminal device code in the preset device table and the total number of preset terminal device codes in the preset device table has not reached a threshold, in response to an add-to-device table operation, adding the physical code information of the terminal device to the preset device table and determining that the terminal device passes authentication.

Abstract: A navigation method, navigation apparatus, color indicating apparatus and transportation guiding apparatus are provided. A navigation method, for providing navigation to a vehicle, comprises locating a position of the vehicle (101); determining a route for the vehicle based on the position and a destination of the vehicle (102); determining a transportation guiding apparatus for guiding the vehicle based on the route and position of the vehicle (103); determining a color associated with the vehicle (104); transmitting an indication of the color to a color indicating apparatus on the vehicle (105); and transmitting, an instruction on color display for guiding the vehicle, to the transportation guiding apparatus (106).

Abstract: A computational heat dissipation structure includes a circuit board including a plurality of heating components; and a radiator provided corresponding to the circuit board; wherein a space between the adjacent heating components is negatively correlated with heat dissipation efficiency of a region where the adjacent heating components are located. Since the space between the adjacent heating components of the disclosure is negatively correlated with the heat dissipation efficiency of the region where the adjacent heating components are located, i.e., the higher the heat dissipation efficiency of the region where the adjacent heating components are located is, the smaller the space between the adjacent heating components in the region will be, the heat dissipation efficiencies corresponding to the heating components are balanced, and load of a fan is reduced.

Abstract: Systems, methods, devices, media, and computer readable instructions are described for local image tagging in a resource constrained environment. One embodiment involves processing image data using a deep convolutional neural network (DCNN) comprising at least a first subgraph and a second subgraph, the first subgraph comprising at least a first layer and a second layer, processing, the image data using at least the first layer of the first subgraph to generate first intermediate output data; processing, by the mobile device, the first intermediate output data using at least the second layer of the first subgraph to generate first subgraph output data, and in response to a determination that each layer reliant on the first intermediate data have completed processing, deleting the first intermediate data from the mobile device. Additional embodiments involve convolving entire pixel resolutions of the image data against kernels in different layers if the DCNN.

Abstract: A method and apparatus for storing data are provided. The method comprises: obtaining a dataset to be stored and a storage model, wherein said dataset comprises a source storage parameter, and the storage model comprises a target storage parameter; in response to determining that the source storage parameter is consistent with the target storage parameter, obtaining a storage key value of said dataset; obtaining raw data that is written into said dataset for the first time and corresponds to the source storage parameter and change data that is in said dataset and corresponds to the source storage parameter; and storing the raw data and the change data in the storage model according to the storage key value.

Abstract: A method for improving alignment between a selective emitters and metal printing, including: providing silicon wafer including first edge and midline parallel to the first edge; texturing and diffusing surface of the silicon wafer; and illuminating the surface of the silicon wafer by laser spots to form the SE. Multiple laser spots are arranged between the first edge and the midline to form spot rows, extension directions of the spot rows are parallel to the first edge, M spot rows are arranged and M is a positive integer and M>1. The M spot rows include N sub-spot regions, N is a positive integer and 1<N?M, the sub-spot regions include at least one spot row, and areas of the laser spots in each sub-spot region are equal. The areas of the laser spots in different sub-spot regions from the midline pointing to the first edge gradually increases.

Abstract: Disclosed are methods for encoding information in a graphic image. The information may be encoded so as to have a visual appearance that adopts a particular style, so that the encoded information is visually pleasing in the environment in which it is displayed. An encoder and decoder are trained during an integrated training process, where the encoder is tuned to minimize a loss when its encoded images are decoded. Similarly, the decoder is also trained to minimize loss when decoding the encoded images. Both the encoder and decoder may utilize a convolutional neural network in some aspects to analyze data and/or images. Once data is encoded, a style from a sample image is transferred to the encoded data. When decoding, the decoder may largely ignore the style aspects of the encoded data and decode based on a content portion of the data.

Abstract: An integrated co-fired inductor and preparation method therefor, comprising: batch filling a magnetic powder in the mold cavity, embedding at least one wire into one layer of the magnetic powder, the two ends of the wire extending out of the mold cavity, sequentially performing compression molding and heat treatment to obtain a magnetic core, and bending and tinning the wire to obtain the co-fired inductor. The preparation method uses an integrated mold forming process to prepare the inductor to avoid an assembly process involving an excessive number of components; heat treatment is performed after the integral forming process, stress is fully released, material hysteresis loss is reduced, and the loss of the device under light load conditions is reduced; no extra gap exists between the wire and the magnetic core, air gaps are uniformly distributed within the magnetic core, and the vibration noise of eddy current loss is reduced.

Abstract: The disclosure provides a battery conveying system, a battery swapping station, and a battery swapping method. The battery conveying system includes a first conveying mechanism and a second conveying mechanism. When the first conveying system and the second conveying system are located at a docking position, a first support structure of the first conveying system is perpendicularly aligned with a channel structure of the second conveying system, such that when the first support structure of the first conveying system is being lifted or lowered relative to a mechanism body, the first support structure can run through the channel structure, such that a support surface of the first support structure is higher or lower than a support surface of the second support structure in a horizontal direction, so as to allow a battery to be transported between the first conveying system and the second conveying system.

Abstract: A computational heat dissipation structure includes a circuit board including a plurality of heating components; and a radiator provided corresponding to the circuit board; wherein a space between the adjacent heating components is negatively correlated with heat dissipation efficiency of a region where the adjacent heating components are located. Since the space between the adjacent heating components of the disclosure is negatively correlated with the heat dissipation efficiency of the region where the adjacent heating components are located, i.e., the higher the heat dissipation efficiency of the region where the adjacent heating components are located is, the smaller the space between the adjacent heating components in the region will be, the heat dissipation efficiencies corresponding to the heating components are balanced, and load of a fan is reduced.

Abstract: This document describes methods, devices, systems, and means for the provisioning of enrollee Wi-Fi devices to a Wi-Fi network. Many Wi-Fi devices have limited or no user interface capabilities, which presents challenges to connecting and, especially, securely connecting many of these devices to a Wi-Fi network. Techniques are described to enhance the Device Provisioning Protocol to solicit and provide feedback from an enrollee device to indicate band support of the enrollee device and provide the status of the enrollee device after attempting to join a provisioned Wi-Fi network.

Abstract: The disclosure provides an approach for dynamic centralized model compilation. Embodiments include receiving, from a client, a request for a machine learning model, wherein the request indicates either one or more attributes comprising one or more of a hardware characteristic, a target precision, or a compiler characteristic, or that one or more default behaviors should be used to compile the machine learning model. Embodiments include determining a compiler for the machine learning model based on the one or more attributes or the one or more default behaviors, wherein the compiler is stored in a registry. Embodiments include compiling the machine learning model using the compiler. Embodiments include providing the compiled machine learning model to the client in response to the request.