609results about How to "Reduce operation" patented technology

A tracking device includes feature information detection means for detecting feature information from a photographic image and tracking object matching means for comparing the feature information with tracking object information in which feature information of a plurality of figures are registered so that the feature information corresponds to a priority indicating tracking order of the feature information and for determining whether or not the feature information is information of the tracking object. The tracking device also includes priority acquisition means for acquiring the priority of the feature information detected from the tracking object information where it is determined that the feature information detected is the information of the tracking object and control means for controlling the photographing section, based on the priority acquired, so as to continuously include, in the photographic image from which the feature information is detected, feature information that has a highest priority in the photographic image.

A method for controlling mobilizing and immobilizing a vehicle using a valid passive entry-passive start key includes detecting that a vehicle operator exits the vehicle, determining that the key is absent from the vehicle, automatically immobilizing the vehicle by preventing vehicle propulsion; if a power source of the vehicle is immobilized after the operator exits the vehicle, automatically mobilizing the vehicle to allow vehicle propulsion when a key authorized to operate the vehicle is detected in the vehicle after a vehicle door is opened and closed, and automatically placing the vehicle in a low energy consumption operating state, if a reference period expires after the operator exits the vehicle with the power source running.

The invention relates to an electric power system mass data management system and a use method thereof. The system comprises a simulation data distributed storage subsystem and a mass simulation data processing subsystem. The simulation data distributed storage subsystem stores data in a plurality of independent interconnecting devices in a dispersed manner, adopts a clustering mode and includes a metadata server master and a file server. The mass simulation data processing subsystem distributes the data onto different database servers through segmentation rules, accesses a specific database in a routing manner through routing rules and comprises a data access layer, a data management layer and a data storage layer. The method includes a simulation data distributed storage subsystem data processing method and a mass simulation data processing subsystem processing method.

The invention discloses a deep learning face identification method based on multiple-characteristic fusion. The method comprises the steps of firstly performing 2D gabor transforming on a to-be-tested orl face database and extracting the face database with a gabor characteristic; because of overlarge dimension of the picture being 92*112, reducing the dimension of the image to 32*32 according to a bilinear interpolation method; then fusing the original orl face database with the face database with the gabor characteristic; and finally coding in a stack type self-coding manner in deep learning, and calculating a weight parameter in a sofmax regression manner, and predicting an identification accuracy. According to the deep learning face identification method, after multiple characteristics are fused under a precondition that the testing accuracy of the characteristic through singly utilizing the algorithm is not lower than 80%, higher accuracy and high algorithm stability are realized; and even after random initialization, identification accuracy is basically unchanged.

The invention discloses a multi-feature fusion-based deep learning face recognition method. The multi-feature fusion-based deep learning face recognition method comprises performing feature extractionon images in ORL (Olivetti Research Laboratory) through a local binary pattern and an oriented gradient histogram algorithm; fusing acquired textual features and gradient features, connecting the twofeature vectors into one feature vector; recognizing the feature vector through a deep belief network of deep learning, and taking fused features as input of the deep belief network to layer by layertrain the deep belief network and to complete face recognition. By fusing multiple features, the multi-feature fusion-based deep learning face recognition method can improve accuracy, algorithm stability and applicability to complex scenes.

An assembly for fixing a module to a surface of a tire. The assembly includes a base having a sole plate with a mounting face, for permanent connection to the surface of the tire and a bearing face. The base also has holding means for holding the module in place on the bearing face. The holding means includes a resilient strap located opposite the bearing face of the sole plate and connected to the sole plate by two opposite ends of the resilient strap. A case encloses the module, and the casing is, under normal operating conditions of the tire, held in place between the strap and the bearing face of the sole plate by resilient restoring forces developed by the resilient strap.

A semiconductor memory device capable of achieving a sufficient operating margin without increasing an area penalty even in the case of miniaturization is provided. An error correction system composed of a data bit of 64 bits and a check bit of 9 bits is introduced to a memory array such as DRAM, and an error correction code circuit required therein is disposed near a sense amplifier array. In addition to normal memory arrays composed of such memory arrays, a redundant memory array having a sense amplifier array and an error correction code circuit adjacent thereto is provided in a chip. By this means, the error which occurs in the manufacture can be replaced. Also, the error correction code circuit corrects the error at the time of an activate command and stores the check bit at the time of a pre-charge command.

The invention discloses an encryption and search method for revocable keyword search public keys in cloud storage and belongs to the technical field of network security. The method includes: setting system public parameters and dividing system time into z time segments, and creating a public-private key pair at a client; when data storage requests occurs, selecting a keyword collection of a data file, selecting optional symmetrical encryption algorithm to encrypt the data file, utilizing the public key and the current time segment to encrypt the keyword collection, and transmitting the encrypted keyword collection to the cloud server; when the next time segment arrives, generating keyword collection cipher again, and updating the cloud server on a server; when a keyword search request occurs, by the client, utilizing the private key and the current time segment to calculate trap door information of the keywords, transmitting the trap door information to the cloud server, and by the cloud server, obtaining the search results and sending back file cipher containing the search keywords to users. The encryption and search method is suitable for cloud storage with high safety requirements, safe, and efficient, and has the capability of revoking server search.

Disclosed is an adaptive transform method based on an in-screen prediction, and an apparatus using the method. A method for encoding an image can comprise a step of determining in-screen prediction mode groups, and a step of transforming by using a different transform method according to the in-screen prediction mode group. As a result, transforming can be performed by applying the different transform method according to the in-screen prediction mode group.

The invention discloses a remote control method of wireless terminal equipment. The method comprises that the wireless terminal equipment establishes a long connection channel with a long connection server cluster; the long connection server cluster establishes the mapping relation between an MAC address of the wireless terminal equipment and an identification of the long connection channel; a cloud server transmits the MAC address and the identification contained by a remote control instruction to the long connection server cluster; and the long connection server cluster selects a corresponding long connection channel according to the identification of the long connection channel, and the wireless terminal equipment transmits and receives the remote control instruction via the selected long connection channel. The wireless terminal equipment and the cloud server realize a reliable transmission mechanism of TCP long connection via the long connection server cluster, crossing of different NAT is realized by utilizing an asynchronous non-obstruction communication transmission manner, it is ensured that the service server is actively connected to a wireless intelligent terminal placed behind the different NAT, the wireless intelligent terminal is managed remotely, symmetrical NAT is supported, it is not required to transmit heartbeat packets frequently, and the operation and network transmission pressure is reduced.

The invention discloses a method for detecting a human body hidden item in a passive millimeter wave image, comprising an image preprocessing step in which a collected original passive millimeter wave image is enhanced through three times of iterative enhancement after interpolation reconstruction to acquire a passive millimeter wave image and distinguish between the target and the background of the passive millimeter wave image, a human body area detection step in which human body target detection is carried out through prejudgment on whether there is a human body based on the preprocessed passive millimeter wave image to get a human body area, and a hidden item detection step in which hidden item detection is carried out in the human body area through two times of iteration segmentation and a detected hidden item area is marked.

The invention relates to a polar code SC decoding-based partial sum method. The objective of the invention is to solve the problem of complex computation in a decoding process of polar codes. The method includes the following steps that: as for the input signals U<N>1 of N information bits, hierarchical polarization coding is performed on U<N>1 according to a coding direction, wherein U<N>1 is expressed by an equation described in the descriptions of the invention; V<N>1 is the sequence of partial sum computation, the maximal term of the V<N>1 is partial sum S<N>il=U<N>1Pi; a computation generation sequence expression V<N>1 of the partial sum is inferred through utilizing the generation rules of the partial sum; the computation rules of T1,T2...Tk is proved through utilizing an induction method; and a bit estimated value u<^>i=hi(y<N>1, u<^i-1>1) is determined; and the likelihood ratio (LR) of an N-dimensional channel is determined; and the likelihood ratio (LR) is determined when N is 1. The polar code SC decoding-based partial sum method of the invention is applied to the partial sum filed of SC decoding.

An embodiment of the invention provides a camera control method, a device thereof, a mobile terminal and a storage medium. The camera control method is applied to the mobile terminal. The mobile terminal comprises a terminal main body and a camera arranged on the terminal main body. The camera can be moved out and retracted relative to the terminal main body. The method comprises the following steps: performing real-time monitoring on the application of the camera to be called in operation; controlling the camera to move out of the terminal body when a change of a first type of state of the application is detected; when a second type of change in the state of the application is detected, controlling the camera to be retracted to the terminal body. The method can automatically control the movement of the camera according to the state of the application program and improve the user experience.

The invention belongs to the technical field of communication, and provides a shooting method and a mobile terminal. The shooting method comprises the following steps: when a shooting function of the mobile terminal is opened, and if a face image is detected in a current preview screen, obtaining the area of the face image; obtaining the area of the current preview screen, and calculating a ratio of the area of the face image to the area of the current preview screen; and selecting a corresponding shooting mode to shoot the current preview screen according to the ratio of the area of the face image to the area of the current preview screen. By adoption of the shooting method provided by the invention, manual adjustment of a camera by a user can be avoided, and the shooting efficiency is improved.

The invention provides a system information sending method, which comprises the following steps of: calculating the autocorrelation matrix of a feedback signal X; and calculating the cross correlation matrix of the conjugate matrix Y* of the feedback signal X and a sending signal Y and calculating a pre-distortion parameter W, wherein RW is equal to B. The invention also provides a system information sending device. The problem of huge calculation amount during matrix decomposition is solved according to the technical scheme provided by the invention. In the technical scheme provided by the invention, based on a geometrical orthogonality principle the feedback signal and the sending signal of digital pre-distortion (DPD) form a nonlinear correlation matrix and an optimal nonlinear evaluation parameter is obtained, so that the acquisition time of the DPD coefficient after the optimization is greatly shortened, and a highly efficient and feasible algorithm is provided for the application of the DPD to products.

The invention is applicable to the technical field of block chain, and provides an electronic bill circulation system, which is applied in the block chain, comprising: a supervision node, an invoicingnode and a reimbursement node; A supervisory node, configured to manage access and authority of the invoicing node; An invoicing node, configured to issue an electronic bill in response to the invoicing request, and write the electronic bill into the current invoicing node and broadcast the whole network invoicing; The reimbursement node is used for receiving and verifying the electronic bill broadcast by the invoicing node, and performing reimbursement marking and network-wide reimbursement broadcasting on the verified electronic bill. The electronic bill circulation system of the inventionestablishes the life cycle of the electronic bill on the circulation ecological chain, The trusted authentication mechanism based on block chain and the multi-center chain dominated by supervisory node can improve the system security and reliability through diversified and open supervisory flow mode, and the operation and supervision cost is low, and the whole operation process is not prone to repetitive safeguard and other problems, and the supervision efficiency is high.

A ceiling fan including a connecting fitting fixed to a ceiling, and a ceiling fan main body suspended from the connecting fitting via a suspension device. The ceiling fan main body includes a motor for rotating a plurality of blades attached in a horizontal direction, a shaft protruding to an upper part of the motor, and a joint portion fixed on an upper part of the shaft. The suspension device includes a first connecting portion capable of being movably mounted on the connecting fitting, and a second connecting portion located in a lower part of the first connecting portion. The joint portion is movably mounted on the second connecting portion.

In a method for the gas-tight packing of objects with film material bearing tightly against the objects, by means of a vacuum, wherein the object is inserted in a bowl and a deep-drawable film is connected to the bowl for sealing the bowl, and wherein a bowl with at least one peripheral edge is used for forming the packaging material, the deep-drawable film is cut to the dimension of the peripheral edge and the deep-drawable film is subsequently or simultaneously applied to the peripheral edge in a gas-tight manner. A further film is then cut to the dimension of the peripheral edge during the application of the deep-drawable film, or after its application, and the further film is subsequently or simultaneously applied to the peripheral edge. The further film remains approximately in the plane of the peripheral edge after its application. A system for the gas-tight packing of objects with a first cutting device for a deep-drawable film has at least one cutting device for a further film.

The invention discloses a map video generation method. A PISA algorithm is used to find out a significance area in a video frame, and a target area is determined according to the size of the significant area and is tracked. The map content is synthesized into a video according to a tracking data file. The invention further discloses a corresponding map video generator and a map video generation client. A user adds a map to a video frame, and the map can automatically move along with a target during a video playback process. The map no longer stays silly at a fixed position. The intelligence of a map video technology is improved. The interaction quality is effectively improved.

The embodiment of the invention provides a control method for a breathing lamp of a mobile terminal and belongs to the field of electronic equipment. The breathing lamp is an LED lamp array which comprises a plurality of colorful LED light-emitting units. The control method comprises the steps of acquiring current status data of the mobile terminal, converting the current status data into a dot-matrix graphic matched with the LED lamp array and controlling the colorful LED light-emitting units in the LED lamp array to display the dot-matrix graphic. The embodiment of the invention further provides the mobile terminal. Under the control conducted through the method, the LED lamp array can be made to display the graphic corresponding to the current data status, the display content of the breathing lamp is enriched, and more intelligent interactions between the breathing lamp and a user can be achieved, that is, the user can acquire more information directly through the breathing lamp; hence, more operation is omitted, and the experience feeling of the user is effectively enhanced.

The invention discloses a fine grained streaming media video encryption and decryption method based on an HLS protocol. The encryption method comprises the following steps: a first layer encryption step: encrypting video fragments generated by an HLS protocol fragment server by suing a video key according to an symmetric encryption algorithm, and storing the video key in an m3u8 index file; a second layer encryption step: encrypting the m3u8 index file by using an index key according to the symmetric encryption algorithm; and a third layer encryption step: encrypting the index key according to an attribute encryption algorithm and a user access control strategy. According to the fine grained streaming media video encryption and decryption method disclosed by the invention, by means of the three-layer streaming media video encryption scheme, fine grained video access authority control is realized, and meanwhile the security of streaming media data transmission is also guaranteed.

The invention relates to a 3D spectral imaging system and method based on a scattering medium. The system comprises a light source module, a collimation correction module, a to-be-tested object, a scattering medium and a detector that are arranged in sequence along the optical path direction. The light source module is used for generating a light beam with the random wavelength. The collimation correction module is configured to perform collimation correction and impurity astigmatism filtering on the light beam. The beam after the collimation correction and impurity astigmatism filtering irradiates the to-be-tested object. The scattering medium is configured to scatter light passing through the to-be-tested object to form a speckle pattern. The detector is configured to receive the speckle pattern. According to the provided system and method, with the scattering medium for replacing the conventional single lens, a PSF database containing spectral and spatial depth information is established and a target is rebuilt by combining a deconvolution method, so that the spectral information and three-dimensional structural information of the to-be-tested object are simultaneously displayed. Therefore, the 3D spectral imaging system and method have the good spectral resolution and good imaging result.

The invention discloses an embedded variable-rotation-speed bearing fault diagnosis device. The device comprises a signal input module, a rotation speed adjustment module, a core computation module, a core control module and a power supply module. The device is of an FPGA+DSP+ARM structure and is structurally characterized in that an FPGA is adopted in the rotation speed adjustment module, vibration signals collected under a variable-rotation-speed condition are converted into uniform angle sampling results, and therefore the requirement for bearing fault diagnosis under the variable-rotation-speed condition is met; a DSP with a high computation speed and a large number of on-chip peripherals is adopted in the core computation module, and data analysis of the sampling results can be well completed; an ARM serves as the core of the core control module, and data analysis result diagnosis, data analysis result storage, data analysis result man-machine interaction and other functions can be completed with the assistance of peripheral hardware devices like an LCD touch screen; an empirical mode decomposition order spectrum analysis algorithm is adopted in the core computation module, it is the first time that the algorithm has been applied to embedded hardware, and bearing fault diagnosis accuracy and rapidity are improved.

The invention provides touch input equipment, electronic equipment and a mobile phone. The electronic equipment comprises a touch acquisition module, a touched object positioning module and a processing module, wherein the touch acquisition module is provided with an input area and is used for executing touch acquisition operation, wherein the input area comprises a first area and a second area; the touched object positioning module is used for determining an initial position of touch operation according to data acquired by the touch acquisition module; and the processing module is used for computing a first result for indicating the coordinate of the touched object according to the data acquired by the touch acquisition module when the initial position of the touch operation is positioned in the first area, and is used for computing a second result for indicating the action of the touched object according to the data acquired by the touch acquisition module when the initial position of the touch operation is positioned in the second area. The invention can avoid unnecessary calculation so as to improve the utilization rate of computing resource and power resource.

A vehicle convertible roof including a rearmost roof member, a side roof rail, an actuator and a link having a length that varies between a first length and a second as the rearmost roof member moves between a nominal and raised position. The adjustable length link is fixed at the second length during retraction and extension of the side roof rail of the vehicle convertible roof.

The invention provides a large-scale sparse matrix multiplication method based on mapreduce. Suppose that the large-scale sparse matrixes are A and B, and a multiplication matrix of A and B is C. The method includes the following steps: step 10, a mapreduce Job finishes transposing of the matrix A and outputting of a matrix A'; step 20, a transformational matrix B converts a storage mode using the matrix B as a coordinate point into a storage mode of sparse vector, and outputs a matrix B'; step 30, connecting the matrix A' and the matrix B', calculating a product component, obtaining the product component of a column number K on the matrix A and column number K on the matrix B of Cij; step 40, merging the product components, calculating Cij through accumulation of the product components Cij_k. The large-scale sparse matrix multiplication is converted into basic operations of transposition and transformation, connection and merging and the like which are suitable for mapreduce calculation, and the problem of resource limit of a single machine large-scale sparse matrix multiplication is solved.