225results about How to "Simplify the acquisition process" patented technology

There is provided a group registration device or the like which is capable of simplifying registration processing to readily perform group registration while retaining secure registration processing.

A group registration device 10 includes a registration request detecting unit, a session ID generating unit for generating a session ID, a registration request message sending unit, a registration reply message receiving unit, a verification unit 231 for verifying non-redundancy of a message, and a storage unit 241 for storing an ID list included in a registration reply message in a storage region so as to be associated with a group ID. Within the same registration session, the registration request message is sent once, the registration reply message is received once, and processing is restricted to sending of the registration request message and receiving of the registration reply message.

The invention discloses a micro inertial parameter adaptive attitude determination method based on carrier flight mode judgment. The method comprises the following steps of outputting data by a sensor; calculating a long-period characteristic parameter and a short-period characteristic parameter of the sensor; judging a motion mode of a carrier according to the variation and range of the parameters; designing an adaptive adjustment strategy of a kalman filtering parameter according to the error variation characteristics of a micro attitude reference system of the carrier in different motion modes; observing the variation of residual sequence quadratic sum according to the attitude in a kalman filter; and carrying out online difference evaluation for the quality of filter effect of the current parameter, and feeding back the evaluation result in a form of parameter confidence to adjust a filter parameter of the kalman filter. According to the method, selection and setting operations of a judgment threshold in the conventional micro inertial attitude determination method are simplified, the influence of the flying height of the carrier and drifting error of the sensor on a judgment condition is avoided, dynamic and static running characteristics of the micro attitude reference system are considered comprehensively, and the dynamic adaptability and the static stability of the micro attitude reference system are improved effectively.

The invention relates to an indoor environment 3D semantic map construction method based on point cloud deep learning. The indoor environment 3D semantic map construction method comprises the following four parts: (1) acquiring a color map and a depth map of an indoor environment by using a depth camera; (2) constructing a point cloud deep learning network to obtain 3D semantic information of an object in the environment; (3) detecting a dynamic object and removing dynamic feature points; (4) solving a camera motion realization visual odometer, and constructing and optimizing a local map; (5)constructing a target semantic library through the obtained 3D point cloud semantic information; and (6) performing semantic fusion on the local map according to the target semantic library, and constructing an octree semantic map. Compared with a conventional method, the method has the advantages that the feature points in the dynamic object mask are eliminated by combining the semantic categoryinformation, the influence of the dynamic object on positioning and mapping is effectively reduced, the adopted 3D semantic acquisition mode is more direct and efficient, and better positioning and mapping capacity and semantic perception effect are achieved.

The invention provides a hand-eye calibration method for a laser line structured light sensor. The hand-eye calibration method includes the steps that a sensor coordinate system is established on the sensor, a structured light stripe is generated from a structured light plane projected by a mid-laser device of the sensor to a target, the pose of a robot is adjusted, the stripe and a straight line on a calibration template are intersectant to form feature points, and a pose parameter of the robot and output data of the sensor of this moment are recorded; outputting of the sensor is combined with geometrical parameters of the sensor, and three-dimensional coordinates, under the sensor coordinate system, of all the points on the laser stripe can be obtained; the feature points generated when the stripe and the straight line on the calibration template are intersectant are extracted. The process is repeated, N sets of different robot pose parameters and the feature points corresponding to all the parameters are obtained, the calibration problem is converted into the least square problem through N sets of data collected under a constraint of space straight lines, and the problem is solved through the optimization algorithm. The hand-eye calibration method is simple and convenient and easy to conduct, the position and the pose are accurately controlled, the efficiency is high, the quality is good, and the hand-eye calibration method has the high practical value.

The invention discloses a left and right foot dynamic recognition method based on plantar pressure distribution information. The method includes the steps of plantar pressure data filtering, plantar pressure data clustering, single-step footprint image processing and left and right foot dynamic recognizing. An improved type IMF filtering algorithm is adopted for the plantar pressure data filtering. A K-means clustering algorithm is adopted for the analysis on the plantar pressure data clustering. The single-step footprint image processing includes the substeps of footprint image bilinear interpolation amplification, median filtering, morphological processing and the like. The left and right foot dynamic recognizing is achieved by conducting judgment on the basis of the extreme value distribution situations of fitted footprint profile curves and footprint width curves. By means of the method, plantar pressure data can be processed and analyzed in real time, and gait feature parameters in the walking process are calculated according to the starting and stopping time of each step of a footprint sequence. The method is simple, the recognition speed is high, the recognition accuracy is high, high robustness is achieved, and the method can be applied and popularized in hospitals, rehabilitation organizations and colleges, universities and research institutions working on related gait research.

The invention provides a content scheduling method based on a CDN and a P2P network and a communication network. The method comprises the following steps: a content list server acquires a data request sent by a first super-node; the content list server determines a target edge server corresponding to target data by searching a first content list; and the data request is orientated to the target edge server to ensure that the target edge server sends the target data to a first node. Thereby, the content list server is arranged in the CDN and the P2P network to store a mapping relationship between the edge server and the contents stored by the edge server, and thus when the node requests the target data through the first super-node, the target data can be rapidly acquired from the edge server that corresponds to the target data according to the mapping relationship, the network burden can be reduced, the acquisition process of personalized data can be simplified, the acquisition time of the personalized data can be saved, and the user experience can be improved.

The invention provides a method for acquiring an overdrive lookup table. The method comprises the following steps: step 202, acquiring a first testing frame image and a second testing frame image need to be played in sequence, wherein pixel gray levels of the testing frame images are a first gray level and a second gray level in a designated area; step 204, carrying 3D display by utilizing a real-time overdrive valve; step 206, identifying the first testing frame to be a left-eye image or a right-eye image, and acquiring comprehensive brightness and image brightness; and step 208, storing the real-time overdrive valve to the overdrive lookup table if the comprehensive brightness is matched with the image brightness; and if the comprehensive brightness is not matched with the image brightness, returning to the step 204. Correspondingly, the invention also provides a device for acquiring the overdrive lookup table and a display device. Through the technical scheme, the suitable overdrive value can be rapidly obtained so as to promote the picture display effect.

The present invention discloses a method for pushing service change information, a device and a system thereof, wherein, the method comprises the following steps: determining change of a service provider on a service node by the service node, wherein the service node is in a distributed cooperation service system; and pushing service change information by the sever node to service consumers who pay attention to the service that is provided by the service provider, wherein the service change information is used for indicating change information of the service provider. Through the method of the invention, the service consumer can perceive the change information of the service provider in time and changes the information of the service provider in time, thereby realizing quick dynamic on-line and off-line services. The method for pushing the service change information further has the following advantages: reducing error probability of service configuration, simplifying service configuration and acquisition of the consumer, and optimizing customer experience.

The invention provides an X-ray diagnostic system and an X-ray image shooting method. The X-ray image shooting method comprises the steps that firstly, orientation parameters including height data of a basis point part of a certain specific part of a diagnosis object is taken as the reference to acquire orientation parameters including position height data of the to-be-detected part, and a shooting position from the X-ray image shooting device to the to-be-detected part is adjusted based on the orientation parameters. The X-ray diagnostic system comprises an X-ray image shooting unit for shooting the X-ray image on the to-be-detected part of the diagnosis object, a basis point part height measurement unit for acquiring the basis point part height data of the diagnosis object, a to-be-detected part orientation analysis unit for acquiring the orientation parameters of the to-be-detected part based on the basis point part height data, and an X-ray image shooting position shooting control unit controlling an X-ray generator and/or detector to move to the to-be-detected part. According to the X-ray diagnostic system and the X-ray image shooting method, positioning of the X-ray generator and/or detector is automatically controlled through the shooting control unit so as to replace detector positioning adjustment through artificial visual estimation, the X-ray image shooting process is simplified, and the shooting efficiency is improved.

An embodiment of the invention discloses a Bluetooth pairing method and a terminal. The method includes: when a Bluetooth pairing control instruction is received, graphic code information of a Bluetooth pairing device is scanned; the graphic code information is analyzed and processed, thereby obtaining Bluetooth pairing information of the Bluetooth pairing device; and Bluetooth pairing is performed according to the Bluetooth pairing information. The embodiment of the invention also correspondingly discloses a terminal. By adoption of the Bluetooth pairing method and the terminal, the Bluetooth pairing information can be rapidly obtained by scanning and Bluetooth pairing is realized, an obtaining process of the Bluetooth pairing information is simplified, and efficiency of Bluetooth pairing is improved.

The invention discloses a multi-angle face data acquisition method. The multi-angle face data acquisition method comprises steps that an acquisition zone is entered through face identification, and a user is prompted to keep head up; a face image under a head-up state is identified, face characteristic points are extracted, a characteristic proportion value L1 is determined according to the face characteristic points, and the face data under a present attitude is stored; face images not under a head-up attitude are identified, a characteristic proportion value L2 is determined , the characteristic proportion value L1 and the characteristic proportion value L2 are compared, a face attitude is determined according to the relationship between the L2 and the L1, and the face data when the face attitude angle is in a preset section is stored; whether the stored face data in various angles covers all the preset angle sections is determined; if yes, the progress is over. The invention further discloses a multi-angle face data acquisition device. The method is advantaged in that the multi-angle face data acquisition progress is simplified, and integrity and accuracy of multi-angle face data acquisition are improved.

The invention relates to a method and a device for acquiring identification information of a television set top box, a television screen projection system, computer equipment and a storage medium. The method comprises the following steps: receiving an access request of a small application program; determining the IP address of the wireless network according to the access request, and identifying the IP address of the wireless network as the IP address of the television set top box; obtaining television set top box identification information corresponding to the IP address; obtaining user information of an application program corresponding to the small application program as a user identifier of an access user, and sending the user identifier and the television set top box identifier information to the small application program; receiving a screen projection request sent by the small application program, and realizing a screen projection operation from the mobile terminal to the target television according to the screen projection request, wherein the target television is a television connected with the television set top box corresponding to the target television set top box identification information. By adopting the method, the obtaining process of the identification information of the television set top box is simplified, and the flexibility of television screen projection is improved.

The embodiment of the invention provides a recording method, a device and a terminal. The method comprises the steps of receiving a plurality of audio data sent by at least two sound sources; determining the sound source direction and/or location of at least two sound sources based on the received audio data; determining at least two target sectors corresponding to at least two of the sound sources and assigning a sector identifier to each target sector; generating at least one audio file which contains the corresponding relationship between the audio data and the sector identifier. The method provided by the embodiment of the invention is capable of identifying the sector according to the voice of the audio data, setting a sector identifier for each audio data collected by the sound collection device, and then generating at least one audio file which contains the corresponding relationship between the audio data and the sector identifier so that it is possible to easily acquire the audio data corresponding to the sector identifier according to a sector identifier,thereby simplifying the sound content acquisition flow, saving time, and improving the efficiency.

The invention discloses an aciculignosa canopy reflectivity calculation method. The method comprises the steps of S1, recognizing a parameter, wherein a model parameter is input, and the input parameter is preliminarily divided into three types, namely, a leaf parameter, a soil parameter and a canopy parameter; S2, inputting the leaf parameter in the step 1 into a LIBERTY model to conduct single leaf spectral information simulation to obtain the reflectivity and transmittance of an aciculignosa leaf; S3, according to the soil parameter and the canopy parameter in the step 1 and the reflectivity and transmittance of the spectrum of the single leaf, calculating an extinction coefficient and a scattering coefficient, and further calculating to obtain a parameter of the SALI model; S4, inputting the parameter obtained by calculation in the steps 3 into the SALI model, and calculating the related reflection factor and reflectivity of a canopy; S5, according to the reflection factor and the reflectivity in the step 4, calculating the reflectivity of the canopy. The aciculignosa canopy reflectivity calculation method is applicable to continuous aciculignosa canopy parameter inversion.

The invention discloses a public key password calculation method and system based on an Intel SGX mechanism. The method comprises the following steps of 1) generating Public enclave and Private enclave independent of each other, which are application running environments providing isolated execution based on the Intel SGX mechanism respectively; deploying the Public enclave in an encrypted messagesender terminal or a signed message verifier terminal, and deploying the Private enclave in an encrypted message receiver terminal or a signed message generator terminal; and 2) when the Private enclave is started for the first time, generating a private key; and when the Public enclave is started for the first time, executing SGX remote authentication for the Private enclave to request for a public key identical to the private key. According to the public key password calculation method and system, the public key password calculation is realized securely and efficiently.

The invention discloses a method for constructing an alkaline/surfactant/polymer compound system detecting probe, and belongs to the field of biological sensing. A detection probe capable of sensitively detecting to-be-detected molecules such as ochratoxin A is designed by using the established method. The method is characterized by amplifying a detection signal by using a nucleic acid base interworking and nucleic acid chain continuous complementary principle, and belonging to the field of biological sensing. The method comprises the following steps that firstly, after the to-be-detected molecule acts with a nucleic acid chain H1, a configuration of the nucleic acid chain H1 is changed, so that the to-be-detected molecule is in complementary pairing with a base of a nucleic acid chain H2 to ensure that a configuration of the nucleic acid chain H2 is changed, the changed nucleic acid chain H2 can be also in complementary pairing with a base of the nucleic acid chain H1, thus the purpose that a single detection molecule initiates nucleic acid chain reaction is realized. Finally, when chlorhematin exists, peroxidase enzyme simulation sequence on the nucleic acid chain H2 can catalyze hydrogen peroxide to oxidize tetramethyl benzidine, and a colored solution is produced when a hydrochloric acid solution exists. A detection curve of the solution can be obtained according to a relationship between absorbance of the solution at a certain wavelength and the concentration of the to-be-detected molecule.

The invention provides a concrete slump controlling method and a concrete slump controlling system of a mixing station. By using rigorous data acquisition, the influence on the whole data average value by individual abnormal data is avoided; according to host current and a corresponding relation between the host current and the concrete slump degree, the concrete slump degree is accurately acquired; moreover, an operation of an experienced operator is not needed, and personal errors are eliminated, so that the acquisition process of the slump degree is simple and accurate; finally, water addition or reduction parameters are calculated on the basis of the slump degree of the concrete in the acquired stirring device and construction site requirement slump degree, so that the accurate control of the concrete slump degree of the mixing station is realized.

The invention provides an indoor space identification method which comprises the following steps: S1, carrying out video shooting on an indoor space to be identified; S2, framing the shot video into pictures, filtering picture data which do not meet conditions, classifying the pictures according to different spaces, and constructing a training set; S3, utilizing the training set to train the constructed deep convolutional neural network based on the DenseNet to obtain a network model; and S4, constructing a mobile terminal APP, enabling a user to initiate a position identification request through the APP, deploying a server computing structure of the network model, and returning a position identification result to the user through a corresponding request of the network. In order to solve the problem of consumer-level indoor positioning, the invention provides a method for realizing indoor positioning based on mobile phone pictures and computer vision, an indoor infrastructure does notneed to be arranged in advance, and other special devices are not needed in the recognition process.

The invention discloses an electronic contract handwritten signature authentication method based on twin neural networks, which relates to the technical field of electronic contract handwritten signature authentication. The invention comprises the following steps: S1, a plurality of user handwritten signatures are left behind in a real name authentication link, and the handwritten signatures are saved as image files; 2, selecting two of a plurality of handwritten signature image files and one of that non-user handwritten signature image file, inputting the two handwritten signature image filesinto a twin neural network model for vector calculation, obtaining a loss function, and obtaining a training set cost function through the loss function; 3, train other handwritten signature image files of that user through an optimization algorithm, and outputting an authentication model; S4: When signing on line, the handwritten signature on the touch screen input device is saved as an image immediately, the identification model is input, the identification result is output, and the preservation and the identification of the handwritten signature are completed. The invention can realize theidentification of the handwritten signature in the electronic contract signing, and the electronic signature is replaced or perfected by the handwritten signature.