958results about How to "Overcoming complexity" patented technology

A terminal device which can access Web contents individually for each window, the terminal device comprising a history storing means for associating each of histories of Web contents with predetermined image information, and storing the histories of the Web contents so that the histories of the Web contents can be managed for each window, an input means for receiving user's input operations, an image retrieving means for retrieving the image information by referring to the histories of each window, when a predetermined input operation is received, an image arranging means for arranging the retrieved image information for each window in a row, which is made to be in correspondence with each window, in a time series by referring to the histories, and displaying the arranged image information on a screen, and a focusing means for focusing on one piece of the arranged image information in response to the input operation.

Disclosed herein are an apparatus and method for providing a haptic effect using a sound effect. The apparatus includes an audio filter storage unit, an acquisition unit, an analysis unit, a message configuration unit, and a haptic output unit. The audio filter storage unit stores a plurality of adaptive audio filters. The acquisition unit obtains sound effects output by an electronic device in response to an application or a user input event. The analysis unit analyzes the frequency components of each of the sound effects. The message configuration unit detects at least one of the adaptive audio filters from the audio filter storage unit, and generates a haptic output message, corresponding to the sound effect. The haptic output unit outputs a haptic effect based on the haptic output message. The adaptive audio filter dynamically varies depending on the application or the user input event.

The invention relates to a method for objectively and quantifiably evaluating noise fret degree in a vehicle based on an auditory model, in particular to an evaluation method of psychoacoustics and vehicle sound quality. The method comprises the following steps: designing a dummy head model; imitating a processing mechanism of the middle ear and the inner ear of a human body to the sound by usingan auditory peripheral calculation model; collecting vehicle noise signals under the working conditions of uniform, accelerated and idle speed; pre-treating the noise sample and processing the loudness in specification; obtaining a psychoacoustics parameter by using a sound quality calculation model; obtaining subjective evaluation result test data by using a grouped and paired comparison method;calculating and painting a correlated scatter plot chart between each parameter and the ranking value of the subjective evaluation result; and analyzing and calculating to obtain the objectively quantifiable model of the subjective fret degree under each working condition. The invention can realize the psychoacoustic parameter calculation of objectively evaluating the sound quality with differentvehicle types, gears and speeds, wherein the calculated value has good pertinence and consistency with the evaluated result of the subjective evaluation method. The invention has stable evaluated result and high reliability, and can improve the sound quality and competitiveness of vehicles combined with the design of new CAE cars.

A licensing attribute certificate enables a trusted computing base to enforce access to a computing resource by a computer application. The licensing attribute certificate can contain enforcement data which limits the use of the computing resource. The licensing attribute certificate can also contain information allowing for the tracking of licensing data about the use of the computing resource. The use of a licensing attribute certificate to enforce access to a computing resource can allow products to be fielded which have their capability limited to a specific subset of functions. The enforcement data, the licensing data, and the data limiting the application to a specific subset of functions are cryptographically bound to the computing resource using a licensing attribute certificate according to the invention. Prior to allowing access to the computing resource by the computer application, a trusted computing base strongly authenticates that usage via the licensing attribute certificate.

A licensing attribute certificate enables a trusted computing base to enforce access to a computing resource by a computer application. The licensing attribute certificate can contain enforcement data which limits the use of the computing resource. The licensing attribute certificate can also contain information allowing for the tracking of licensing data about the use of the computing resource. The use of a licensing attribute certificate to enforce access to a computing resource can allow products to be fielded which have their capability limited to a specific subset of functions. The enforcement data, the licensing data, and the data limiting the application to a specific subset of functions are cryptographically bound to the computing resource using a licensing attribute certificate according to the invention. Prior to allowing access to the computing resource by the computer application, a trusted computing base strongly authenticates that usage via the licensing attribute certificate.

A Self-Sustaining Compressed Air Foam System that utilizes a vacuum proportioning blending console, delivering pre-determined amounts of fire pre-suppressant / suppressant foam concentrate with ratios from 0.01% to 6% and water when used in concert with a vacuum dispensing closure for tight head pails dispensing said foam concentrate that is plumbed to either an air operated pump or solar powered electric pump on the inlet side producing a pre-suppressant foam solution. A second blender / mixer / agitator conjoins an inert pressurized gas or air at the outlet of the pump variables to produce the finished pre-suppressant / suppressant foam product for various applications including structure protection in wild fire events. A special nozzle can be used as the applicator that reduces pressure / velocity of the finished foam to allow the user to work in confined areas and / or in areas that are normally out of reach of the foam stream projected.

A drive mechanism for the wings of miniature ornithopter is composed of a worm-gear speed reducer and two sets of 4-connection-rod unit consisting of crank with one end fixed to the axle of worm gear, connection rod with one end linked to crank, and rocker arm linked between rocker arm and wing.

The invention discloses a method for preparing nano copper conductive ink, which can be applied in the field of printing electronic technology, in particular ink jet printing technology. The preparation method comprises the following steps of: dissolving copper salt and protective agent into a solvent, heating and stirring the solution, adding a small amount of alkali solution to adjust the pH ofthe solution to between 7 and 10, dripping a reducing agent into the solution, continuously stirring the solution to react for 30 to 60 minutes, and then cooling the reaction solution to room temperature to obtain nano copper dispersion; performing centrifuging, washing and vacuum drying at room temperature on the nano copper dispersion to obtain nano copper granules; and dispersing the nano copper granules into an organic solvent, and ultrasonically treating the solution to obtain the nano copper conductive ink. The method solves the problems of complex preparation process and long preparation period in the prior art, has the advantages of simple and convenient operation, low production cost, short flow and no harmful waste generation, and realizes the goals of environmental protection and economy; and the prepared nano copper conductive ink has good dispersion property and high stability.

A remote sensing image target detection method based on a deep neural network is provided. The method comprises: obtaining a training sample and carrying out a scaling preprocessing operation on the training sample; carrying out multiple types of labeling operations on a training sample image containing a remote sensing target and a remote sensing background in the preprocessed training sample; based on the maximum number of iterations, carrying out pre-training and fine-tuning operations on a selected deep convolutional neural network model to obtain a fine-tuned deep convolutional neural network model; processing a full-connected layer of the fine-tuned deep convolutional neural network model to obtain a fine-tuned deep full convolutional network model; and detecting the remote-sensing image target based on the fine-tuned deep convolutional neural network model and the fine-tuned deep full convolutional network model. The method has the advantages of a high detection speed and high detection accuracy, and can be widely used in the fields such as target detection, target tracking, intelligent navigation, urban planning and the like.

The invention belongs to the technical field of electronic circuits, and particularly relates to a ripple compensation control circuit for a DC-DC converter. The benefit of the invention is that an internally integrated feedback ripple compensation circuit is designed to free a COT (constant on time) control system from the dependence on output capacitance ESR (equivalent series resistance) and to widen the optional range of output capacitance cells, thereby ensuring stable operation of the system. The on-chip ripple compensation technology is adopted to solve the problem that the traditional off chip compensation method has the disadvantages of complex structure and large occupied area, thereby reducing the total cost of a converter, expanding the applicable range of circuits, improving circuit accuracy and reducing circuit consumption. The invention is particularly suitable for a DC-DC converter.

The present invention discloses a transition metal coordinate catalyst after oligomerization of ethylene and its application in the oligomerization of ethylene. Said ivnention provides the structure formula of said catalyst. Said catalyst is simple in preparation process, easy to purify, its compound stability if good, and is convenient for large-scale production, and its activity reproducibility is good.

The invention discloses a low eutectic solvent for aromatic hydrocarbon separation. The low eutectic solvent is obtained by mixing hydrogen bond receptors and hydrogen bond donors according to a certain ratio (the molar ratio of 1: 1 to 1:10), and stirring till being in a uniform transparent state at 70-100 DEG C. The low eutectic solvent is low in toxicity, environment-friendly and high in efficiency, and can be applied to the process of separating aromatic hydrocarbons from non-aromatic hydrocarbons in coal tar and petroleum oil.

The invention discloses an ASIP based on an extensible processor architecture and a realizing method thereof, which mainly solve the problem of high circuit complexity and large resource consumption in the prior art. Aiming at the extensible processor architecture after optimization, the invention adopts a five-level-pipeline realizing method, and adopts a data orientation technology and a branch non-execution strategy to solve data hazards and control hazards in pipeline treatment respectively. The ASIP comprises an instruction fetch unit, a decoding unit, an execution unit, a memory access unit, a write-back unit, a pipeline control unit, a timer and an interrupt controller. According to the ASIP and the method, the characteristics of a pipeline processor and an FPGA (field-programmable gate array) are considered sufficiently, the pipeline structure is partitioned reasonably, and the hardware resources of the FPGA are utilized to the utmost extent; and the ASIP and the method have the advantages of simple circuit design, low resource consumption, high processor performance and low power consumption, and are highly suitable for large-scale parallel processing.

The invention discloses a dynamic gesture identification method in an interactive system, comprising the following four steps of: acquiring an image, and obtaining a current image frame after denoising; obtaining a moving region of the image by calculating the difference of the current image frame and a reference image frame, and obtaining a binary image by a skin color detection method; carrying out gesture segmentation on the binary image by a gray level projection method to obtain a gesture region and a barycentric position; and obtaining a final identification result by a classification identification method according to the barycentric position and fingertip characteristics. The method can be used for overcoming the problems of high complexity, low real-time quality and low identification rate in traditional algorithms, has the advantages of simplicity in implementation, good real-time quality and high identification rate, and can be applied to the dynamic gesture identification very well. Moreover, the method can tolerate the translation of a definition gesture, the scale and the transformation of a rotation angle, and has a good robustness.

The invention discloses a cross-domain federal learning model and method based on a value iteration network, and the model comprises a data preparation unit which is used for taking a path planning field of a grid map as a training environment, and taking observation states of two different parts in the same map as inputs of the two fields of federal learning; an Federated-VIN network establishingunit is used for establishing a Federhead-VIN network structure based on a value iteration network; the VIN network structure constructs the full connection of the value iteration modules of the source domain and the target domain, and defines a new joint loss function about the two domains according to the newly constructed network; the iteration unit is used for carrying out forward calculationon the VI modules in the two fields in the training process, and value iteration is achieved for multiple times through the VI modules; and the backward updating unit is used for carrying out backward calculation to update the network parameters, and carrying out backward updating on the VIN parameters and the full connection parameters in the two fields according to the joint loss function.

The invention relates to an adaptive optical aster target imaging system based on image clearing principle, mainly comprising receiving telescope, spectroscope, reflection deformable mirror, high-voltage amplifier, photo detector, main control computer, control algorithm, high-speed digital processor and image-quality diagnosis system. The invention can make use aster target itself as beacon. It is not need that dear wave-front sensor is used to measure the wave-front error of beam from space target. Image clearing index, which can reflect wave-front error information, can be used to measure quality factor for system imaging ability. By controlling the reflection deformable mirror to correct the wave-front error the quality factor can achieve or approach the optimal value. The invention is provided with simple structure, easy regulation, real-time imaging, convenient control, and eliminating or decreasing bacon no-isoplanatic error. Under the condition of very strong atmospheric turbulence aster target can be imaged effectively. The cost of conventional adaptive optical system for imaging compensation of aster target can be decreased greatly.

The invention discloses a preparation method of a chiral fluorescent nanoparticle based on a hyperbranched conjugated polymer. The method is characterized by comprising the following steps of: preparing a hyperbranched polymer containing 9,9-dioctylfluorene and a bithiophene unit into a trichloromethane solution of which the solubility is 1*10<-3> to 1*10<-1> mg / mL; and adding one of (R)-limonene or (S)-limonene into the trichloromethane solution of the copolymer together with methanol, and mixing uniformly to obtain a stable turbid solution, wherein the volume ratio of the (R)-limonene or (S)-limonene to the methanol to the copolymer is (1-8):(8-1):1. In the method, a solvent chiral transfer technology is applied to the preparation of a hyperbranched polymer chiral fluorescent nanoparticle with a hyperbranched polymer, so that the problems of high price of a chiral reagent, complex synthesis steps and the like existing in the conventional method for synthesizing the hyperbranched polymer chiral fluorescent nanoparticle are solved.

The invention discloses a biology base polymer aerogel oil absorption material. The oil absorption material is prepared by the following steps: at first, crosslinking biology base polymers by a crosslinking agent, to obtain a precursor liquid, then freeze-drying the precursor liquid to obtain aerogel, and finally grafting silane onto the aerogel surface to obtain the hydrophobic biology base polymer aerogel oil absorption material. The density of the oil absorption material is 3.8 to 23.1 kg / m3. The water contact angle is at least 117.8 degrees. The adsorption capacities on gasoline, paraffin oil, chloroform, and crude oil are 30.5-109.0 g / g, 33.2-131.2 g / g, 58.2-163.0 g / g, and 24.7-95.8 g / g. After 50 times of gasoline adsorption-extrusion circulation, the retention rate of adsorption capacity is 43 to 99%. The disclosed aerogel oil absorption material has the advantages of large oil absorption capacity and high oil absorption efficiency. Moreover, the oil absorption material can be repeatedly used by simply extruding the oil absorption material, while a high retention rate of adsorption capacity can be maintained. At the same time, the raw material sources are wide, the raw materials are cheap and easily available, the preparation is simple, the technology is matured, the method is environment-friendly, and the requirements of sustainable development can be met.

The invention discloses a hyperspectral and panchromatic image fusion method for extracting spatial features based on AAE, which solves the problems of serious spectral distortion and insufficient spatial detail injection in the existing hyperspectral image fusion, and comprises the following implementation steps of: obtaining an image data set for preprocessing; constructing and training a hyperspectral image spectrum constraint adversarial auto-encoder network; extracting spatial features of the hyperspectral image; acquiring space details of the enhanced panchromatic image; fusing the spatial information of the hyperspectral image and the enhanced panchromatic image; constructing a gain matrix; and obtaining a hyperspectral image with high spatial resolution. Hyperspectral and panchromatic image space information is considered at the same time, deep space features are extracted through AAE, spectral loss is effectively reduced, and the space resolution is effectively improved. Simulation proves that the hyperspectral image fusion method is better in fusion index and visual effect space and spectral performance, better in space detail maintenance and more perfect in spectral information, and is used for hyperspectral image fusion processing.

Selection and display of adaptive rate video streams in a video security system in which user devices such as mobile computing devices mix and display multiple streams concurrently from security cameras on the user devices. A client application running on the user devices determines available buffer resources on the user devices, and enables selection of one or more video streams from a grid displayed on a display of the user devices. In response to the determined resources, the client application obtains higher bit rate video streams for the selected video streams and lower bit rate video streams for the non-selected video streams. The client application then displays the higher bit rate streams in visually distinct focus panes that attract the attention of an operator and displays the lower bit rate streams in less visually distinct periphery panes. In a preferred embodiment, operators can select a stream from the periphery panes to display as higher bit rate stream in a focus pane.

The invention provides a multi-axis linkage numerical control laser processing system, which is structurally characterized in that a workbench is provided with a linear guide rail, two ends of the guide rail are provided with a workbench tail seat and a headstock respectively, and two open center brackets are movably arranged on the guide rail and are positioned between the workbench tail seat and the headstock; a guide rail stand is arranged beside the workbench, the guide rail stand is provided with another parallel guide rail, and a movable sliding stand is movably arranged on the guide rail; a robot is fixed on the movable sliding stand, and a laser processing head is arranged at the tail end of a last joint of the robot; and a controller is connected with the robot and the movable sliding stand through control wires respectively so as to control the robot and control the movable sliding stand to drive the robot to move on the guide rail stand. The system solves the problem that a joint robot laser processing system has a small processing range, and can meet the numerical control laser processing requirements of parts of large size and super-large size.

The invention discloses a mobile robot image visual positioning method in a dynamic environment. A Kinect depth camera is fixed to a mobile robot, and for the two adjacent frames of images, the three-dimensional point cloud of the depth image is obtained and a matching point pair of the RGB color image is obtained; an initial pose transformation matrix between the two adjacent frames of images isobtained through an iterative nearest point algorithm; the three-dimensional point cloud clustering transformation is carried out, and the residual difference between the three-dimensional point cloudclusters of the two adjacent frames of images is calculated; the matching point pair and the three-dimensional point cloud in a static background repeatedly processed to obtain a more accurate pose transformation matrix, the pose transformation matrix between every two adjacent frames of images is calculated, and the image visual positioning of the mobile robot is realized. According to the invention, the hardware cost is reduced, the complexity of recovering the pixel depth value is overcome, the positioning error of the robot is corrected, and the moving track of the moving robot in the room is estimated more accurately.

The present invention relates to the field of catalyst molding, and particularly provides a titanium-silicon molecular sieve molding method, which comprises: mixing a titanium-silicon molecular sieve and a water-containing mixture, carrying out hydrothermal treatment under a sealed condition, molding the slurry obtained from the hydrothermal treatment to obtain a molding body, and calcining the molding body, wherein the water-containing mixture contains a silicon element, a titanium element and a nitrogen element, and is at least partially derived from the crystallization mother liquor of the titanium silicon molecular sieve. The present invention provides a molding catalyst prepared according to the preparation method, and applications thereof. The invention further provides a cyclohexanone oxidation method. According to the present invention, with the titanium-silicon molecular sieve molding method, the industrial waste liquid is effectively utilized, and the problems of complex process, corrosion on equipment, harmful emission and the like of the traditional process are overcome; and the molding catalyst has characteristics of high titanium-silicon molecular sieve content, high pore volume, high crushing resistance, and high selectivity to the target product.

The invention discloses a LoRa-based remote pig house environment multi-parameter measurement and control system and a LoRa-based remote pig house environment multi-parameter measurement and control method thereof. The LoRa-based remote pig house environment multi-parameter measurement and control system comprises a LoRa terminal, an aggregation node and a pig house group master server, wherein the LoRa terminal comprises a data acquisition module, a power supply module, a controller module, an execution device and a camera module; the aggregation node comprises a LoRa module and a GPRS module; the pig house group master server comprises an on-site monitoring computer, a database module and a functional module; the data acquisition module, the power supply module and the execution device are connected with the controller module, the controller module is connected with the LoRa module via a wireless network, and the GPRS module is connected with the remote master server via an Ethernet.The functional module of the system is capable of displaying pig house on-site videos and environmental parameter values of corresponding points, so that a farmer can log into a website to check theon-site condition of a pig house remotely, thereby realizing intelligent farming. The LoRa-based remote pig house environment multi-parameter measurement and control system and the LoRa-based remote pig house environment multi-parameter measurement and control method combined with a LoRa wireless technology can realize the function of acquiring data of a plurality of terminals and simple networking, are suitable for environment monitoring of livestock breeding farms and have the advantages of remote data acquisition and low power consumption.

The invention provides a small infrared aerial target detection method based on non-downsampling contourlet transformation. The method includes the following steps of 1, non-downsampling contourlet transformation, wherein non-downsampling contourlet transformation first-level decomposition is performed on a small infrared target image, and a band pass sub-band is discomposed into four-direction high-frequency sub-bands; 2, background suppression, wherein low-frequency influences are removed, and thresholding processing is performed on a high-frequency portion; 3, coefficient mapping, wherein coefficients left by the four-direction high-frequency sub-bands are mapped to a gray level space in a linear mode; 4, high-frequency image segmentation, wherein four-direction high-frequency sub-band images are segmented into binaryzation images; 5, binary high-frequency image noise reduction, wherein small bright noise points in the binary high-frequency images are eliminated; 6, detection of related small targets in dimension, wherein the four-direction high-frequency sub-band images get along with each other to obtain a small target single-frame detection result; 7, small target sequence detection, wherein comprehensive vote is performed on multi-frame images to intercept and capture small targets. According to the method, the problem of small aerial target detection under the complicated infrared background is solved.

The invention discloses a short circuit fault self-detection method in a single battery. The method comprises the following steps of: S1, building a first-order equivalent circuit model of the battery, determining a function relation between a state of charge (SOC) and an open-circuit voltage (OCV), and recognizing model parameters, S2, measuring load current and terminal voltage of the battery inreal time, S3, calculating ampere-hour increments at adjacent moments, estimating the SOC of the battery online by adopting a closed-loop state observer, and calculating an internal short circuit current according to the obtained ampere-hour increments and an SOC change value, S4, filtering the estimated internal short circuit current, and identifying the internal short circuit resistance of thebattery online by adopting a recursive least square method with an adaptive forgetting factor according to the filtered internal short circuit current and load voltage. According to a preset internalshort circuit resistance threshold, the internal short circuit state of the battery is compare3d and judged. Online identification of the short circuit resistance in the single battery can be realizedonly by measuring the terminal voltage and the load current of the single battery, and other single battery information in the battery pack is not needed.

The invention discloses a rapid object recognition method for a mobile robot based on deep learning, and the method comprises the following steps: 1), the obtaining of a mobile image; 2), the preprocessing of image data; 3), the extracting of the features of the image; 4), image prediction output; 5), environment constrained optimization; 6), image recognition output. Through the unified integration of detection and recognition results, the method overcomes the shortcomings of the complexity and instability of a conventional object recognition system which needs to employ an object. Through a multilayer residual error network design and the generation of environment gravity constraint conditions, the method irons out the defect that an integrated object recognition system is poor in accuracy. The integration of detection and recognition tasks can guarantee the processing efficiency of a system, and improves the sensing capability of the robot in a moving process.

The invention discloses a high-resolution SAR image individual building extraction method, and the method comprises the steps: firstly carrying out domain ontology modeling through combining the imaging features of a high-resolution SAR image individual building and the characteristics of a complex morphological structure, and constructing an individual building body semantic model in a high-resolution SAR image; secondly obtaining image regions with the good homogeneity and clear boundary through employing SAR image segmentation based on an object, wherein the image regions are the basic processing units extracted by building base units; combining with the related rule of the building base units in the body model, wherein the extracted image object characteristics comprise regional features, shape features, geometric features, texture features, and topological features; forming the object expression of body semantic description according to the body semantic rule and the object features, guiding the image objects to be automatically recognized as the building base units, and achieving the large-scale individual building recognition which takes the semantic knowledge as the center. The method can extract a large-scale individual building in the high-resolution SAR image accurately and quickly.

The invention discloses a production of food packaging film and the method for preparation, specifically a degradable complex film prepared with degradable nanometer PA polymer as the obstruct material. Said complex film has a layer structure containing at least two outer layers and one interlayer, at least one layer among which is the obstruct layer, the obstruct layer being made up of degradable nanometer PA polymer, and others being made up of degradable polyolefin or polyolefin. Compared with the high-obstruct film prepared with PVDC, the invention overcomes the shortcomings that the manufacture is hard, the cost is high, environmental pollution is serious, and the recovery is hard. And the high-obstruct packaging film prepared mainly with nanometer PA has identical obstruct effect with PVDA film.