Abstract: Thermoplastic compositions include: a polymer base resin including at least one liquid crystal polymer (LCP) resin, at least one polyphenylene ether (PPE) resin, or a combination thereof; and from at least 0.1 wt % to 10 wt % of a low-OAN carbon black. The low-OAN carbon black has an oil absorption number (OAN) of 60 cubic centimeters per 100 grams (cc/100 g) or less. The compositions have good dielectric properties.

Abstract: A crimping system includes a base, a fixing device, and a waste recycling device. The base defines a throwing port that allows waste materials to pass through. The fixing device is fixedly installed on the base and adapted to fix a flexible flat piece. The crimping device is movably installed on the base and is movable in two perpendicular, horizontal directions. The crimping device is adapted to crimp a terminal onto the flexible flat piece when it is moved to a predetermined crimping position aligned with the crimping part on the flexible flat piece. The waste recycling device is fixedly installed on the crimping device and moves synchronously with the crimping device. The waste recycling device is adapted to recover waste materials generated during crimping of the terminal, and to eject recovered waste materials through the throwing port when it is moved to a predetermined position aligned with the throwing port.

Abstract: A fixing device adapted to fix a flexible flat piece comprises a support platform adapted to support the flexible flat piece and a fixture adapted to clamp the flexible flat piece onto the support platform. The support platform includes a vacuum chamber formed therein having multiple vacuum suction holes formed in the top wall of the vacuum chamber. The vacuum suction holes are adapted to secure the flexible flat piece on the top surface of the support platform to prevent the flexible flat piece from being moved as it is clamped by the fixture.

Abstract: Disclosed herein are compositions comprising: from about 30 wt. % to 90 wt. % of polymer component; and from about 1 wt. % to 25 wt. % of a filler component, wherein the filler component comprises from about 5 wt % to about 20 wt % of an electrically conductive filler and from about 0.1 wt % to about 5 wt % of a non-electrically conductive filler based on the total volume of the composition, wherein the non-electrically conductive filler is intrinsically hydrophobic or wherein the non-electrically conductive filler comprises a hydrophobic coating: wherein the composition exhibits a surface resistivity of from about 1×105 Ohm/square to about 1×108 Ohm/square when tested in accordance with ASTM D257, wherein the combined weight percent value of all components does not exceed 100 wt. %, and all weight percent values are based on the total weight of the composition.

Abstract: A method and a system for identifying a glacial lake outburst debris flow (GLODF) are provided. The method is obtained based on considering induced influences of slopes of channels and particle sizes of source particles on the GLODF. The method not only compensates for deficiencies in identifying the GLODF, but also realizes determination of the GLODF, which provides data basis for disaster prevention and control layout such as monitoring and early warning on a glacial lake and assists preventing and managing disasters caused by the GLODF. Meanwhile, multiple parameters used in the method are easy and convenient to obtain, and the parameters can be directly used on site, which saves engineering cost, improves working efficiency, and has high practical and promotional value in environmental protection and disaster prevention and mitigation.

Abstract: A high-efficient quantization method for a deep probabilistic network achieves good result through hybrid quantization, structure reformulation, and type optimization. Firstly, for a directed acyclic graph (DAG) structure, all nodes in the DAG are clustered, and each node is quantized by a specific arithmetic type based on the clustering category, to obtain a preliminarily quantized deep probabilistic network. Secondly, the multi-in nodes in a preliminarily quantized deep probabilistic network are reformulated based on the input weights, structural reformulation converts a multi-in node into a binary tree network containing only two-input nodes, and parametrical reformulation is performed on the reformulated structure. Finally, arithmetic types of all nodes are optimized by using an arithmetic type search method based on power consumption analysis and network accuracy analysis.

Abstract: A method for determining a consistency coefficient of a power-law cement grout includes: determining a water-cement ratio of the power-law cement grout; according to engineering practice requirements, determining a time required to determine the consistency coefficient of the power-law cement grout; and obtaining the consistency coefficient of the power-law cement grout. The method is accurate and reliable, requires less calculation, etc.; and has very high practical value and popularization value in environmental protection and ecological restoration.

Abstract: A method for determining a three-dimensional tortuosity of a loose and broken rock-soil mass, includes the following steps: a particle grading curve of the loose and broken rock-soil mass is obtained by utilizing a particle size analysis, and followed by calculating an equivalent particle size and an average particle size; a porosity of the loose and broken rock-soil mass is obtained by utilizing a moisture content test, a density test, and a specific gravity test; the three-dimensional tortuosity of the loose and broken rock-soil mass is obtained by utilizing the equivalent particle size, the average particle size and the porosity of the loose and broken rock-soil mass. The method has the advantages of simple logic, accuracy and reliability, simple and fast parameter determination, and has high practical value and promotion value in the field of environmental protection and ecological restoration technology.

Abstract: This application discloses a placement location obtaining method, a model training method, and a related device. The method includes: obtaining first size information of an unoccupied area in an accommodation space and second size information of a first object; generating M candidate placement locations based on the first size information and N pieces of second size information, where one candidate placement location indicates one placement location of one determined first object in the unoccupied area; generating a first score value of each candidate placement location based on the first size information by using a first machine learning model; and selecting a first placement location from the M candidate placement locations based on the first score value. This avoids excessive dependence on experience of a technical person, and improves an automation level and efficiency of placing/loading an object in the warehousing and/or logistics field.

Abstract: This application discloses a Wi-Fi Aware link establishment method and system, an electronic device, and a storage medium. The Wi-Fi Aware link establishment method includes: A primary device receives first connection information sent by a secondary device, where the first connection information includes a Wi-Fi Aware service name needed by the secondary device. The primary device sends second connection information to the secondary device based on the Wi-Fi Aware service name needed by the secondary device, where the second connection information includes confirmation information, the confirmation information is notification information indicating that the primary device confirms that there is the Wi-Fi Aware service name needed by the secondary device. The primary device obtains a Wi-Fi Aware data path request frame sent by the secondary device. The primary device completes link establishment with the secondary device based on the Wi-Fi Aware data path request frame.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating unmapped U-turn predictions using a machine learning model. One of the methods includes obtaining features of an agent travelling on a roadway. One or more unmapped U-turn regions in a vicinity of the agent on the roadway are identified. For each of the unmapped U-turn regions and from at least the features of the agent, a respective likelihood score that represents a likelihood that the agent intends to make an unmapped U-turn at the unmapped U-turn region is generated. Based on the respective likelihood scores, one or more of the unmapped U-turn regions are selected. For each selected unmapped U-turn region, data specifying a candidate future trajectory in which the agent makes the unmapped U-turn at the selected unmapped U-turn region is provided as a possible future trajectory for the agent.

Abstract: A composition includes specific amounts of a poly (phenylene ether), a hydrogenated block copolymer of an alkenyl aromatic monomer and a conjugated diene, a polypropylene, a polybutene, a flame retardant, and an ultraviolet absorbing agent comprising a bis(benzotriazole) compound. The composition is particularly useful for forming the jacket layer of electrical and optical cables.

Abstract: Systems and methods for generating a furnishing plan for a property are disclosed. An exemplary system includes a communication interface configured to receive a floor plan of the room and a resident profile. The system further includes at least one processor configured to determine a functionality of the room based at least partially on the resident profile and obtain a set of candidate furnishing items for the room based on the functionality of the room. The at least one processor is further configured to sequentially add furnishing items selected from the set of candidate furnishing items in the placement item set, where the furnishing items added in the furnishing plan collectively meet a predetermined area occupation threshold associated with the floor plan. The at least one processor is also configured to generating the furnishing plan based on the placement item set.

Abstract: A system for estimating a severity of a bearing fault in an induction motor, uses a set of filters and a set of quantitative models designed for a set of fault frequencies. The system, upon receiving the measurements of the stator current, extracts the first fault current from the stator current using the first filter, determine the first mutual inductance variation from the first fault current using the first quantitative model, and classify the first mutual inductance variation with the fault severity classifier to determine the severity of a first type of fault in the induction motor. Similarly, the system classifies a second type of fault using the second filter and the second quantitative model. The system outputs one or combination of the severity of the first type of fault in the induction motor and the severity of the second type of fault in the induction motor.

Abstract: A composition includes specific amounts of a poly (phenylene ether), a hydrogenated block copolymer of an alkenyl aromatic monomer and a conjugated diene, a polypropylene, a polybutene, a flame retardant, and an ultraviolet absorbing agent comprising a bis(benzotriazole) compound. The composition is particularly useful for forming the jacket layer of electrical and optical cables.

Abstract: The present invention provides a live video transmission method and system and an apparatus. According to the method, an M2U device receives a UDP request sent by a client, where the UDP request includes a live channel identifier and is used to request video data of a live channel corresponding to the live channel identifier, and the live channel identifier includes a multicast address or a URL. Then, the M2U device obtains the video data corresponding to the live channel identifier, and obtains a source IP address and a source port of the UDP request, where the source IP address and the source port of the UDP request are used as a destination IP address and a destination port of a UDP unicast packet to be subsequently sent to the client.

Abstract: A composition includes about 20 wt % to about 80 wt % of a first resin consisting of polybutylene terephthalate (PBT); about 1 wt % to about 20 wt % of a second resin that is different from the first resin, wherein the second resin does not include polyethylene terephthalate (PET); from about 0.5 wt % to about 10 wt % of a first processing aid; and from about 10 wt % to about 60 wt % of a reinforcing filler. The composition has a tensile modulus of at least 3,000 MPa and a notched Izod impact strength of at least 50 J/m. Methods of making the composition are also described.

Abstract: A hot live video determining method is provided. A network device first obtains a plurality of video request messages for a target video; then determines statistical information of the target video based on the plurality of video request messages, where the statistical information includes a quantity of video request messages for the target video that are obtained in specified duration and fragment information of a video fragment requested in each video request message; and finally determines, based on the statistical information, whether the target video is a hot live video. According to the method, the network device can identify the hot live video in the Internet, so the network device can carry the hot live video in a multicast manner, to avoid breakdown that is of a network and a video server and that is caused by transmitting the hot live video in a unicast method.

Abstract: A system for estimating a severity of a bearing fault in an induction motor, uses a set of filters and a set of quantitative models designed for a set of fault frequencies. The system, upon receiving the measurements of the stator current, extracts the first fault current from the stator current using the first filter, determine the first mutual inductance variation from the first fault current using the first quantitative model, and classify the first mutual inductance variation with the fault severity classifier to determine the severity of a first type of fault in the induction motor. Similarly, the system classifies a second type of fault using the second filter and the second quantitative model. The system outputs one or combination of the severity of the first type of fault in the induction motor and the severity of the second type of fault in the induction motor.

Abstract: The present disclosure provides a cloud platform and a construction method thereof. The cloud platform includes a plurality of compute nodes and at least two storage backends. The construction method includes: establishing an association relationship between the compute nodes and the at least two storage backends, such that each compute node is associated with one and only one storage backend. Different storage backends are associated with different compute nodes. When the compute node generates an image file, a type of the image file is determined. The type of the image file includes a base image file or an exported image file. The image file is stored according to the type of the image file and the storage backend associated with the compute node that generates the image file. The technical solutions of the present disclosure enhance the overall disaster tolerance and stability of the cloud platform.