Abstract: Architectures and techniques are presented that can provide point-to-point analysis to generate an improved signal strength prediction (SSP) based on, e.g., earth surface image data processing and analysis to draw conclusions of line of sight (LOS) along the propagation path between a BTS or another AP transmitter and CPE receiver. For example, USGS image data and/or elevation data of locations are identified to correspond to signal propagation between the transmitter and receiver can be analyzed for LOS signal quality at a fixed location, in addition to the statistical model prediction of the RF signal quality. As a result, foliage or terrain that obstructs the LOS can be identified and utilized to improve SSP by eliminating the additional pathloss due to LOS obstructions. Such can provide a significant improvement to SSP results that are conventionally predicted by statistical models rather than a point-to-point analysis.

Abstract: This application relates to a content push method performed by a computer device, including: determining candidate mixed content in response to a content push request from an object, the mixed content including first-type content and second-type content; determining a first priority push probability of the first-type content based on the object attribute information, the overall content feature, and the dynamic resource input feature; analyzing a priority push relationship between the content features of all pieces of second-type content, to obtain an internal priority push feature, and performing inter-type priority push relationship analysis based on the object attribute information, the internal priority push feature, and the dynamic resource input feature, to determine second priority push probabilities respectively corresponding to all pieces of second-type content; and selecting content from the mixed content for push based on the first priority push probability and the second priority push probabilitie

Abstract: A method and apparatus for pedestrian re-identification, an electronic device, and a computer-readable storage medium are provided. The method includes that: a pedestrian image to be detected is acquired; global feature information of the pedestrian image to be detected is extracted through multiple convolutional layers of a convolutional neural network; multiple pieces of intermediate feature information of the pedestrian image to be detected are extracted through the multiple convolutional layers of the convolutional neural network respectively, and the multiple pieces of intermediate feature information are merged as local feature information; and the global feature information and the local feature information are assigned as a classification feature of the pedestrian image to be detected, and a classification result of the pedestrian image to be detected is determined according to the classification feature.

Abstract: In various embodiments described herein, a visualization system receives message requests from client devices, wherein the message requests comprise at least location data that identifies a location of a client device, and media content, wherein the media content includes at least one of image data, audio data, and video data. In response to receiving the message requests that comprise the media content, the visualization system analyzes and parses the media content to detect one or more tags embedded within the media content. In response to detecting the tag, the visualization system identifies a campaign or account referenced by or associated with the tag. Based on the identification of the campaign based on the tag within the media content, the visualization system determines a distribution of the campaign based on the location data from the message request.

Abstract: According to some embodiments, systems and methods are provided including an automatic testing (AT) framework including an automatic testing (AT) tool and an AT engine; a processing unit coupled to the automatic testing framework to: generate a JSON file, wherein the JSON file is a test case; upload the generated test case to a database of the AT framework; and execute the test case in response to uploading, wherein execution further comprises: reading the test case from the database; validating the JSON file matches a JSON schema; mocking the test case to generate an executable test, including one or more nullable values based on the generated JSON file; executing the executable test to generate an output; and verifying the generated output by comparing the generated output to an expected output in the test case. Numerous other aspects are provided.

Abstract: A high-strength thermal-stability polyester industrial yarn is prepared by spinning, winding and coordination treatment of a modified polyester after a solid-state polycondensation; wherein the method of coordination treatment comprises: soaking the wound fiber in an aqueous solution of a coordination agent, and the concentration of the aqueous solution of the coordination agent is 0.1-0.2 mol/L; wherein the condition of coordination treatment is 48-72 hours at 80-100° C., and the concentration of the aqueous solution of the coordination agent is 0.1-0.2 mol/L; wherein the polyester segments of the prepared high-strength thermal-stability polyester industrial yarn comprises a terephthalic acid segment, an ethylene glycol segment and a 2,6-pyridinedicarboxylic acid segment, and 2,6-pyridinedicarboxylic acid segments of different polyester segments are coordinated by Fe3+, the molar ratio of the terephthalic acid segment to the 2,6-pyridinedicarboxylic acid segment is 1:(0.03-0.05).

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: 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 for assisting the acquisition of a media content at a scene provided with at least one main acquisition unit connected to a server is disclosed. The method includes performing by a processing unit of the server: receiving, from an electronic device including a secondary acquisition unit, a request for acquiring a media content at the scene, the request including data representative of acquisition conditions at the secondary acquisition unit; and providing in response a first media content generated as a function of data representative of acquisition conditions at the secondary acquisition unit from generic media content outputted by the at least one main acquisition unit.

Abstract: According to some embodiments, systems and methods are provided including an automatic testing (AT) framework including an automatic testing (AT) tool and an AT engine; a processing unit coupled to the automatic testing framework to: generate a JSON file, wherein the JSON file is a test case; upload the generated test case to a database of the AT framework; and execute the test case in response to uploading, wherein execution further comprises: reading the test case from the database; validating the JSON file matches a JSON schema; mocking the test case to generate an executable test, including one or more nullable values based on the generated JSON file; executing the executable test to generate an output; and verifying the generated output by comparing the generated output to an expected output in the test case. Numerous other aspects are provided.

Abstract: Aspects of the subject disclosure may include, for example, obtaining first information indicative of data plane utilization, wherein the data plane is associated with a wireless communications network; obtaining second information indicative of control plane utilization, wherein the control plane is associated with the wireless communications network; applying the first information and the second information to one or more machine learning algorithms; and generating via the one or more machine learning algorithms one or more outputs, wherein the one or more outputs indicates whether one or more network resources should be added to improve the data plane utilization. Other embodiments are disclosed.

Abstract: An oxygen bleaching method of pulp includes the steps of: adding a solution formulated by a magnesium salt and an activator to an unbleached chemical pulp, stirring to be mixed well, and bleaching by introducing oxygen. The activators are nano zero-valent metals that are conventional, low-cost, and recyclable. These activators can activate low-concentration oxygen at low-temperature in neutral aqueous solution to efficiently generate peroxide anion radicals, so as to promote the generation of hydroperoxide anions and peroxide ions, achieving high efficient delignification. The whole process does not generate waste water, the oxygen consumption is only 50-85% of the original process, the yield is increased by 1.5-2.8% compared with the original system, the pulp brightness is increased to 28-32° SR, and the magnesium salt can be recycled and reused.

Abstract: The present provides a concrete and mortar mix and composition thereof with poor quality sand such as desert sand, hydraulic binder (cement) and filamentous cellulose, where the desert sand/spherical sand replaces conventional concrete river sands. The present disclosure also relates a filamentous cellulose, such as, cellulose filaments (CF), cellulose nano filaments, cellulose nanofibrils (CNF) and microfibrillated cellulose (MFC) as a concrete/mortar and sand adhesion additive with hydraulic binder (cement), and to a method of making the concrete. This method also relates to a method to prevent the sliding of individual sand grains against one another and therefor similarly contributes to the stabilization of the building materials.

Abstract: Systems, devices, media, and methods are presented for graphical icon identification within an image or video stream. The systems and methods receive an image including a graphical icon. The systems and methods identify a set of proposed regions of the image, at least one proposed region of the set of proposed regions containing the graphical icon and extract a set of semantic features for each proposed region of the set of proposed regions. Based on the set of semantic features of the set of proposed regions, the systems and methods identify a set of proposed icons corresponding to the graphical icon included in the image and determine a match between the graphical icon and at least one proposed icon of the set of proposed icons.

Abstract: The present disclosure relates to the technical field of computer vision and digital image processing, and more particularly to a light field encoded imaging method and apparatus for a scattering scene. The method includes: obtaining scattering light field data, and extracting a refocusing focal stack corresponding to different offset pixels between views from the scattering light field data; transforming an image in the refocusing focal stack into a saturation domain to form a processed focal stack; comparing boundary sharpness degrees of each region in the processed focal stack when refocusing by different offset pixels, and extracting offset pixels corresponding to the sharpest boundary of each region by using a 1-norm operator; and converting the offset pixels into a depth map of a target based on data parameters of the light field.

Abstract: An isobaric stable isotope-containing phosphorylated protein labeling reagent, and a preparation method and application thereof are provided. The protein labeling reagent is a phosphorylated dipeptide organophosphorus reagent labeled by a stable isotope such as deuterium-2, carbon-13, oxygen-18, or nitrogen-15. The preparation method includes: (1) preparation of an isobaric stable isotope-containing amino acid with N-terminal protection, (2) preparation of an isobaric stable isotope-containing amino acid activated ester Fmoc/Boc-R1-NHS with N-terminal protection, (3) preparation of an isobaric stable isotope-containing dipeptide, (4) preparation of an isobaric stable isotope-containing phosphite, (5) preparation of an isobaric stable isotope-containing phosphite dipeptide, and (6) preparation of a stable isotope-labeled N-phosphorylated amino acid activated ester.

Abstract: A license plate number recognition method includes: extracting license plate number features of an image to be recognized including a license plate number, through a pre-trained convolutional neural network; extracting an intermediate convolution result during extracting the license plate number features, and extracting a first verification feature and/or a second verification feature according to the intermediate convolution result; verifying whether the license plate number features are correct according to the first and/or second verification features; if correct, outputting a predicted license plate number result according to the license plate number features.

Abstract: The application provides a porous carbon block material having high elasticity and high sealing, and provides a method for preparing the same. Particularly, the present application provides a porous carbon block material, wherein the porous carbon block material has a pore size in the range of from 3 nm to 100 nm, a porosity of from 50% to 87%, and the pores in the material are closed pores. In addition, the application provides a method for preparing the porous carbon block material according to the present application. The porous carbon block material according to the present application has small pore size, high porosity, and closed pores, and thus has high strength combined with high elasticity, high sealing property, and low density. Hence, the porous carbon block material according to the present application may be used as a sealing material.

Abstract: Disclosed is an automobile tire burst simulation experiment device, which is fixed on a rim installed with an automobile tire. The automobile tire burst simulation experiment device comprises a pre-tightening triggering device, a retracting device, a storage battery and a controller, the tire burst simulation experiment device according to the present invention uses two drive motors to drive two sets of roller screw slide rails, so as to drive the breakdown device away from and close to the tire to achieve a simulated tire burst and rapid deflation. The experiment device has the characteristics of quick installation, low cost, strong versatility, and adjustable speed; the device can be applied to the tire burst experiment under different vehicle speeds and road conditions of various automobile models. The structure is simple and the simulation control accuracy is high. After the tire burst, the subsequent experiments of the vehicle are not affected.