Abstract: The present disclosure provides a data processing method, a device, a computer apparatus and a storage medium, wherein the method includes: in response to a target disk receiving at least one write request within a preset time period, determining a size threshold value for classifying a data update type according to a size of write data respectively indicated by each write request; determining a data update type corresponding to each write request according to a size of each write request and the size threshold value; dividing write data of the write request to obtain a data block according to a preset data block size, and caching the data block in a cache region of the target disk corresponding to the data update type, the target disk has multiple types of cache regions configured therein, different cache regions are configured to support caching of data with different update frequencies.

Abstract: The present invention provides a morphing cross-medium unmanned craft, wherein the cross-medium unmanned craft includes a main hull, side hulls set on both sides of the main hull and a propeller; the side hulls can be flipped relative to the main hull, so that the side hulls can have different orientation attitudes relative to the main hull, which can make the unmanned craft be variant, realizing the cross-medium navigation function of high-speed flight in the air, energy-saving navigation on the surface of the water; the propeller is used to provide an appropriate power propulsion mode for the unmanned craft when the unmanned craft is in different motion states, so as to improve the matching and reliability of the power propulsion of the unmanned craft in different medium domains of water surface, underwater and air.

Abstract: The present disclosure provides a data processing method, a device, a computer apparatus and a storage medium, wherein the method includes: in response to a target disk receiving at least one write request within a preset time period, determining a size threshold value for classifying a data update type according to a size of write data respectively indicated by each write request; determining a data update type corresponding to each write request according to a size of each write request and the size threshold value; dividing write data of the write request to obtain a data block according to a preset data block size, and caching the data block in a cache region of the target disk corresponding to the data update type, the target disk has multiple types of cache regions configured therein, different cache regions are configured to support caching of data with different update frequencies.

Abstract: The present disclosure provides a data processing method, a device, a computer apparatus and a storage medium, wherein the method includes: in response to a target disk receiving at least one write request within a preset time period, determining a size threshold value for classifying a data update type according to a size of write data respectively indicated by each write request; determining a data update type corresponding to each write request according to a size of each write request and the size threshold value; dividing write data of the write request to obtain a data block according to a preset data block size, and caching the data block in a cache region of the target disk corresponding to the data update type, the target disk has multiple types of cache regions configured therein, different cache regions are configured to support caching of data with different update frequencies.

Abstract: A method for evaluating a damage power of confined explosion, includes: determining a size of a confined case and a thickness of a target plate according to a requirement of evaluation on damage effectiveness of a warhead to establish an explosive damage effectiveness evaluation platform; calibrating parameters of the platform with a series of confined explosion tests of trinitrotoluene (TNT) bare charges in the case to form a relational map, in which a deflection of a mid-point of the target plate changes with a charge mass; obtaining a deflection of the mid-point of the target plate by detonating different warheads, forming different detonation atmosphere and forming different venting configuration in the case, and performing interpolation through the map to obtain an equivalent bare charge as an evaluation index. The method quantitatively evaluates the damage effectiveness of the warhead, and is not limited by the damage component.

Abstract: A method for evaluating a damage power of confined explosion, includes: determining a size of a confined case and a thickness of a target plate according to a requirement of evaluation on damage effectiveness of a warhead to establish an explosive damage effectiveness evaluation platform; calibrating parameters of the platform with a series of confined explosion tests of trinitrotoluene (TNT) bare charges in the case to form a relational map, in which a deflection of a mid-point of the target plate changes with a charge mass; obtaining a deflection of the mid-point of the target plate by detonating different warheads, forming different detonation atmosphere and forming different venting configuration in the case, and performing interpolation through the map to obtain an equivalent bare charge as an evaluation index. The method quantitatively evaluates the damage effectiveness of the warhead, and is not limited by the damage component.

Abstract: A high-barrier biodegradable Doypack and a preparation method therefor. The Doypack consists of two parts, a high-barrier biodegradable self-sealing strip and a five-layered composite high-barrier biodegradable Doypack body. The main base materials of the high-barrier biodegradable self-sealing strip are PLGA and PPC that have excellent barrier performance; and the five-layered composite high-barrier biodegradable Doypack body consists of single side glossy white Kraft paper, a bonding layer, a first barrier layer, a second barrier layer, and a heat-sealing layer, which are integrally formed by using a process combining four-layer co-extrusion and lamination. Compared to conventional non-degradable Doypacks, the high-barrier biodegradable Doypack is substantially equivalent in terms of the physical and mechanical performance and heat-sealing performance, but has a superior barrier performance, and is biodegradable.

Abstract: The present invention discloses a low cost bio-based full degradable film and preparation method thereof, the ratio of each component in parts by mass of the film is as follows: 15-25 parts of a polyglycolic acid, 25-35 parts of corn starch, 35-55 parts of poly(butylene adipate-co-terephthalate), 5 parts of a compatilizer, 3.75-12.25 parts of a starch plasticizer, 0.5-0.7 part of citric acid, 0.75-1.25 parts of acetyl tributyl citrate, 0.3-0.5 part of maleic anhydride, 0.2 part of antioxidant 164, and 0.2 part of 2-(2?-hydroxyl-5?-methylphenyl)benzotriazole. The low cost bio-based full degradable film provided by the present invention has a bio-based content, which can reach 30% or more, a lower cost, and a tensile strength exceeding a traditional PE thin film, and has very important significance for solving the problem of “white pollution” and promoting the popularization and application of full biodegradable materials.

Abstract: A method for remanufacturing an ultra-large copper nut includes steps of: step (1) coarsening treatment; step (2) purifying treatment; step (3) detecting a material of the ultra-large copper nut; step (4) sleeving a thermal insulation device; step (5) preheating the ultra-large copper nut; step (6) melting-deposition shaping; step (7) post-processing; and step (8) detecting. The method of the present invention simultaneously utilizes water, electricity, gas, fire and machine and performs melting-deposition on materials by simultaneously supplying water, electricity, gas, fire and machine according to the designed requirements. The method of the present invention solves problems of large thickness abrasion and remediation of fracture components. The method of the present invention is capable of preventing the ultra-large copper nut from deformation and collapse and is a feasible remanufacturing for decreasing the huge economic loss caused by damages of expensive ultra-large of nonferrous metals.

Abstract: A method for repairing break of a universal connecting rod of a universal coupling includes steps of: cleaning and detecting cracks, providing primary anneal, depositing alloys, providing secondary anneal, manually milling and controlling a quality; wherein depositing the alloys includes forming gradient in an order of a bonding layer, a transition layer, a working layer and a processing layer; wherein the bonding layer: S and P in the depositing area are diluted with an FGM-KM1# material, for removing or reducing the S and P, so as to avoid cold and hot cracks; the transition layer: which is formed by an FGM-KM2# material for improving impact toughness and evacuation stress, and appropriate increasing hardness; the working layer: which is formed by an FGM-KM3# material for improving heat resistance, wear resistance and load capacity; and the processing layer: an FGM-KM4# material is used to reduce surface hardness and improve processing performance.

Abstract: The invention discloses a mobile terminal, comprising a display unit configured to display an image to be displayed in three-dimensional space beyond the mobile terminal, a determination module configured to determine an instruction input by a user through the displayed image via spatial position detection, and a processing module configured to execute an operation corresponding to the determined instruction. In the invention, both the display of the image in the three-dimensional space beyond the mobile terminal and the spatial position detection are beneficial to execute the operation corresponding to the instruction from the user accurately, so that the user can observe the image conveniently, the limitation of a screen size is eliminated, the instruction from the user can be judged and executed accurately, and user experience is improved.

Abstract: A method for remanufacturing an ultra-large copper nut includes steps of: step (1) coarsening treatment; step (2) purifying treatment; step (3) detecting a material of the ultra-large copper nut; step (4) sleeving a thermal insulation device; step (5) preheating the ultra-large copper nut; step (6) melting-deposition shaping; step (7) post-processing; and step (8) detecting. The method of the present invention simultaneously utilizes water, electricity, gas, fire and machine and performs melting-deposition on materials by simultaneously supplying water, electricity, gas, fire and machine according to the designed requirements. The method of the present invention solves problems of large thickness abrasion and remediation of fracture components. The method of the present invention is capable of preventing the ultra-large copper nut from deformation and collapse and is a feasible remanufacturing for decreasing the huge economic loss caused by damages of expensive ultra-large of nonferrous metals.

Abstract: A method for repairing break of a universal connecting rod of a universal coupling includes steps of: cleaning and detecting cracks, providing primary anneal, depositing alloys, providing secondary anneal, manually milling and controlling a quality; wherein depositing the alloys includes forming gradient in an order of a bonding layer, a transition layer, a working layer and a processing layer; wherein the bonding layer: S and P in the depositing area are diluted with an FGM-KM1# material, for removing or reducing the S and P, so as to avoid cold and hot cracks; the transition layer: which is formed by an FGM-KM2# material for improving impact toughness and evacuation stress, and appropriate increasing hardness; the working layer: which is formed by an FGM-KM3# material for improving heat resistance, wear resistance and load capacity; and the processing layer: an FGM-KM4# material is used to reduce surface hardness and improve processing performance.

Abstract: An object recognizing apparatus and method are provided. The apparatus may include: a viewing direction estimating device configured for respectively estimating a first viewing direction of a first object captured by a first camera and a second viewing direction of a second object captured by a second camera; a feature extracting device configured for extracting one or more features respectively from an image containing the first object captured by the first camera and an image containing the second object captured by the second camera; and an object matching device configured for allocating a weight for each of the one or more features according to the first viewing direction and the second viewing direction, and calculating a similarity between the first object and the second object based on the one or more weighted features, to determine whether the first object and the second object are the same object.

Abstract: This invention relates to retrieval for multimedia content, and provides a program endpoint time detection apparatus for detecting an endpoint time of a program by performing processing on audio signals of said program, comprising an audio classification unit for classifying said audio signals into a speech signal portion and a non-speech signal portion; a keyword retrieval unit for retrieving, as a candidate endpoint keyword, an endpoint keyword indicating start or end of the program from said speech signal portion; a content analysis unit for performing content analysis on context of the candidate endpoint keyword retrieved by the keyword retrieval unit to determine whether the candidate endpoint keyword is a valid endpoint keyword; and a program endpoint time determination unit for performing statistics analysis based on the retrieval result of said keyword retrieval unit and the determination result of said content analysis unit, and determining the endpoint time of the program.

Abstract: The present invention provides a device and method for multiclass object detection, wherein the detection device includes: an input unit configured to input data to be detected; and a joint classifier within which a plurality of strong classifiers capable of processing multiclass object data are included, wherein each of the strong classifiers is acquired by adding a set of weak classifiers together, and each weak classifiers performs a weak classification for the data to be detected by using a feature. A list of shared features is included within the joint classifier, and each feature within the list is shared by one or more weak classifiers belonging to different strong classifiers respectively; and the weak classifiers, which use a same feature and belong to different strong classifiers respectively, have different parameter values from one another.

Abstract: The invention discloses a mobile terminal, comprising a display unit configured to display an image to be displayed in three-dimensional space beyond the mobile terminal, a determination module configured to determine an instruction input by a user through the displayed image via spatial position detection, and a processing module configured to execute an operation corresponding to the determined instruction. In the invention, both the display of the image in the three-dimensional space beyond the mobile terminal and the spatial position detection are beneficial to execute the operation corresponding to the instruction from the user accurately, so that the user can observe the image conveniently, the limitation of a screen size is eliminated, the instruction from the user can be judged and executed accurately, and user experience is improved.

Abstract: The present invention discloses a three dimensional human pose recognition method and apparatus, where the three dimensional human pose recognition method includes steps of: a three dimensional pose initial recognition step of performing three dimensional pose recognition on an input image containing a human image to obtain image-based three dimensional human pose information; a sensor information acquisition step of acquiring, by a motion sensor, motion information of human articulation points; and a three dimensional pose correction step of correcting, with the motion information acquired by the sensor information acquisition step, the image-based three dimensional human pose information recognized by the three dimensional pose initial recognition step. According to the technical solution of the invention, it is possible to improve accuracy of the three dimensional human pose recognition efficiently.

Abstract: Provided are a method and device for determining a lean angle of a body and a pose estimation method and device. The method for determining a lean angle of a body of the present invention includes: a head-position obtaining step for obtaining a position of a head; a search region determination step for determining a plurality of search region spaced with an angle around the head; an energy function calculating step for calculating a value of an energy function for the search region; and a lean angle determining step for determining the lean angle of a search region with a largest or smallest value of the energy function as the lean angle of the body. The pose estimation method of the present invention includes a body lean-angle obtaining step, for obtaining a lean angle of a body; and a pose estimation step, for performing a pose estimation based on the lean angle of the body.

Abstract: A method and apparatus that classify an image. The method extracts a feature vector from the image, wherein the feature vector includes a plurality of first features. The extracting of each of the first features includes: acquiring a difference between sums or mean values of pixels of the plurality of first areas in the corresponding combination to obtain a first difference vector in the direction of the first axis, and obtaining a second difference vector in the direction of the second axis. A first projection difference vector is acquired with a second projection difference vector. A sum of magnitudes of the first projection difference vector and the second projection difference vector as the first feature is obtained; and the image according to the extracted feature vector is classified.