117results about How to "Lower application threshold" patented technology

The application relates to a container application deployment method and device, computer equipment and a storage medium. The method includes the following steps: receiving an application deployment request sent by a terminal, wherein the application deployment request includes a code identifier; pulling a corresponding code file in a code repository according to the code identifier; parsing the code file, determining configuration parameters required to deploy a target application corresponding to the application deployment request, and creating a target mirror image according to the configuration parameters; adding the code file to the target mirror image to generate a target mirror image file; and starting the target mirror image file to generate a container application, acquiring an access address of the container application, and returning the access address to the terminal. By adopting the method, the deployment threshold of the container application can be lowered, and the deployment efficiency of the container application can be improved.

The invention discloses a robot shaft hole assembly system and method based on teaching learning. The system comprises a mechanical arm, a six-dimensional force/torque sensor, a passive flexible RCC device and a PC upper computer, wherein the mechanical arm is a multi-axis mechanical arm, the six-dimensional force/torque sensor is arranged at the tail end of the mechanical arm, the passive flexible RCC device is arranged on the six-dimensional force/torque sensor, the passive flexible RCC device is provided with a clamping tool used for clamping a to-be-assembled component, and the PC upper computer can achieve real-time communication with the mechanical arm and six-dimensional force/torque sensor. Firstly, a manual teaching recorder completes the assembly of task data, an assembly skill model is trained by adopting a learning algorithm, then under a control command of the PC upper computer, the mechanical arm carries a pin component to perform shaft hole assembly, and a control systemestablished by the PC upper computer is based on an ROS platform. The robot shaft hole assembly system and method based on teaching learning have the advantages that a flexible behavior of a person when an assembly task is completed is imitated by combining teaching learning, so that the automatic flexible assembly operation of a robot is achieved, and the operation requirements can be met well.

The invention relates to a mobile-network-based system for remotely controlling turning on and turning off of home appliances by the cell phone, belonging to the technical field of remote control; wherein, on one hand, a on-off controller controls opening and closing of electric power source of home appliances to realize turning on and turning off thereof according to serial port information, on the other hand, the on-off controller reads opening and closing state of electric power source of the home appliances and reports the state information to a control server by the serial ports; a client cell phone or a client computer operates Web browser and checks the on-off state of the home appliances by the browser and sends http format on-off control command to the control server; the control server operates a Web browser which reflects the on-off state of the home appliances read from the serial ports and receives the control command sent from the client browser and transforms and sends the command to the on-off controller. The invention dispenses with complex control components, instead, the cell phone is connected to the system control server by a wireless mobile network and the computer by the internet, thus realizing monitoring of the home appliances anytime and anywhere.

The invention discloses a cloud-based blockchain dynamic networking system and method, and the method specifically comprises the steps of enabling a BaaS management platform to store the information of trusted nodes, and provide a query service of a trusted node list for the outside; querying a local trusted node list through a BaaS platform, and setting a networking request instruction accordingto the returned trusted node list; executing a container creation instruction, and deploying the blockchain node into the container to form a new node; sending a node authentication request to the newnode, and sending an encryption authentication mode and trusted node network information in a request message; after receiving the authentication request, the new node performs node authentication, and sends signature information and network information to the trusted node in a message form; adding a new node to the trusted node to send node adding success information to the new node; sending a node adding instruction to the new node, and adding credible node information to send node adding success information to the credible node after the new node receives the request; and after receiving the node adding success message, enabling the trusted node to start data synchronization.

The invention provides identification authentication-based technology, and relates to secret key devices for supporting anonymous authentication. Identification secret keys generated by anonymous identifiers are stored in the secret key devices. The generation method of the secret key devices for supporting the anonymous authentication comprises the following steps of: defining and generating at least one anonymous identifier; defining a seed secret key pair, wherein the seed secret key pair consists of a seed public key and a seed private key; allowing the anonymous identifiers to generate identification private keys corresponding to the anonymous identifiers respectively through the seed private key; and writing the generated identification private keys into each secret key device. The invention also provides a back-up unlocking method of the dual secret key devices. The devices and the method can support requirements of social and publics on anonymous safety service, and reduce theapplication threshold of the authentication technology greatly.

The invention relates to a space-time data processing platform and method based on time and space data models, and belongs to the technical field of space-time big data processing and analysis, a datamodel is established through combination of time and space data, changes of space factors over time can be realized, time, space and attribute characteristics of geographical things and phenomena canbe organically combined, and the geographical things and phenomena can be enriched as an expression content, and meanwhile, the rapid analysis, writing, persistence and multi-latitude aggregate queryof the space-time data are supported.

The invention discloses a human face identification system which comprises a video input interface which is connected with a human face image data acquisition unit and used for receiving human face image data, a human face recognition arithmetic processor used for processing the received human face image data and finishing identification work, a microprocessor unit which is connected with the human face recognition arithmetic processor and used for being responsible for processing various external interfaces, and a communication interface used for being responsible for communication with various application equipment. The human face identification system lowers the complexity of the structure, reduces the size, enhances the stability and the reliability of the system simultaneously and further lowers the application threshold of human face identification, thus being easier to be popularized and applied.

The invention provides an integrated robot joint module. The integrated robot joint module comprises a joint output component, a harmonic reducer, a joint shell, a driving motor main body, a brake mechanism and an integrated circuit module; the joint output component is used for being connected with an external execution mechanism or a load; the harmonic reducer is used for adjusting the rotatingspeed of the joint output component; the joint shell is used for fixing the harmonic reducer and driving the motor main body, the brake mechanism and the integrated circuit module, and the driving motor main body is used for driving the harmonic reducer according to the instruction of the integrated circuit module; the brake mechanism is used for holding the driving motor main body according to aninstruction of the integrated circuit module; and the integrated circuit module drives the working state of the motor main body according to an instruction of an external upper computer, and the working state of the joint output component is used for driving the driving motor main body.

The invention discloses a hardware equipment debugging method, a hardware equipment debugging device and a hardware equipment debugging system. The method comprises the following steps: a debugging terminal and at least one piece of cloud equipment arranged on the cloud establish a communication relationship; the debugging terminal sends a debugging command to the cloud equipment based on an inspector protocol provided by a browser engine; and the debugging terminal receives a debugging result which is generated by the cloud equipment in response to the debugging command. The technical problem in the prior art that lack of development resources or low utilization rate of development resources is caused as the equipment arranged on the cloud cannot be debugged remotely is solved.

The invention provides a lightweight lumbar auxiliary rehabilitation exoskeleton robot. The lightweight lumbar auxiliary rehabilitation exoskeleton robot comprises a back spinal traction mechanism, aspinal lumbar bionic mechanism, a spinal lumbar driving mechanism, an intelligent adjustable elastic waistband, an abdominal fixing supporting mechanism, a spinal rehabilitation exoskeleton leg fixingmechanism, a back supporting mechanism, a spinal exoskeleton handheld terminal and a driving control box, wherein the spinal lumbar driving mechanism moves along the back supporting mechanism under the control of the driving control box to cause the bionic deformation of the spinal lumbar bionic mechanism, thereby driving a wearer to achieve traction exercise training of the lumbar front and rearflexion and extension; the back spinal traction mechanism moves up and down under the control of the driving control box, so that the effect is achieved that human body load above the lumbar vertebrae is transmitted to the spinal exoskeleton leg fixing mechanism through the back supporting mechanism and the abdominal fixing supporting mechanism, and the wearer achieves the rehabilitation trainingof the vertical lumbar traction. The lightweight lumbar auxiliary rehabilitation exoskeleton robot adopts integrated design, has a smaller volume, improves the load-to-weight ratio, and achieves intelligent wearable and multi-pose rehabilitation training.

The invention relates to a medical artificial intelligence public training platform. The platform comprises a data acquisition module, a data analysis system and a disease database, wherein the data analysis system is used for calling a prediction model matched with a feature field of medical data in an automatic field comparison mode, or automatically establishing the prediction model when the matched prediction model does not exist, then inputting features of the medical data into the prediction model, and outputting disease types or morbidity probability by the prediction model; wherein theprocess of automatically establishing the prediction model is the process of continuously adjusting parameters of the algorithm model by taking the characteristics of the medical data as the input ofthe algorithm model and the corresponding disease type or disease probability is taken as the theoretical output of the algorithm model. According to the medical artificial intelligence public training platform, the time for data preparation and data modeling is greatly shortened, and the dependence of the modeling process on statistics families and IT experts is reduced; and the medical artificial intelligence public training platform can be suitable for modeling, diagnosis and prediction of numerous medical big data business scenes.

The invention provides a semantic Web service composite automatic validation method and a semantic Web service composite automatic validation system. According to the method, the Web service of OWL-S description is converted into one atomic process automaton, and the atomic process automaton is combined into composite process automation; the redundancy concurrence and the asynchronous migration of the composite process automation are eliminated to obtain an optimized model; according to compatibility requirements limited by users, the acceptable location set of the composite process automation is determined; according to the validity requirements limited by the users, a logic formula CSV is determined; the optimized model is converted into modeling language of UPPAAL, and the acceptable location set and the logic formula CSV are expressed into a CTL formula; a composition service model described by the modeling language and the CTL formula are input into UPPAAL for validation; the description on the combination process and the atomic process in the OWL-S process is more concrete and complete, the composite operation can be taken without differences, the logic formula and the expression are supported, the description capability is higher, and the validation efficiency is improved.

The invention provides a large-range regional parking lot big data analysis system, which belongs to the technical field of intelligent parking big data, and comprises: A, a system business architecture comprising an intelligent parking platform, the intelligent parking platform comprising system business, data, a deployment place and a deployment environment; B, system user analysis is made: forthe requirements of various types of system users, analyzing the solution of the system users through business stop + roadside + sharing static traffic integration; C: system construction is performedby constructing based on the parking knowledge graph; D: system business process is performed; E, system function architecture is created; F, system technology architecture is performed. The system establishes an intelligent parking big data platform based on big data, artificial intelligence, image recognition and knowledge graph technologies, and plays a supporting role in optimizing parking lot revenue, solving parking congestion, constructing intelligent static traffic and developing automobile aftermarket business.

The invention belongs to the related technical field of cutter state monitoring. The invention discloses a real-time cutter wear prediction method based on wavelet packet decomposition and deep learning. The method comprises the following steps of: (1), synchronously acquiring related sensor signals in a workpiece machining process, selecting stable signal sections as signal sections to be analyzed, and expanding a signal sample to be analyzed to increase the sample size; carrying out wavelet packet decomposition transformation on the to-be-analyzed signal to obtain a plurality of wavelet packet coefficient two-dimensional matrixes; (2), correspondingly taking the wavelet packet coefficient two-dimensional matrix as the input of a feature extraction CNN model block, splicing the one-dimensional feature matrix output by each feature extraction CNN model block into a longer one-dimensional matrix, performing feature fusion, and establishing a two-layer full-connection network, thereby obtaining a convolutional neural network model; and (3), inputting to-be-analyzed signal data into a convolutional neural network model so as to predict the abrasion loss of the cutter in real time. Thecost can be reduced, and the applicability is high.

A flow system comprises background management module custom-made as per flow, flow master module, flow statistic-analysis module and unified standard module.

The invention relates to a method for identifying a face of a living body. The method for identifying the face of the living body comprises the following steps of (1) collecting the face image information; (2) generating at least one group of face image sequences from the face image information; (3) extracting the human face local features from the at least one group of human face image sequences;(4) screening out a low-dimensional feature vector of the face image information from the face local features; (5) inputting the low-dimensional feature vector into a trained classifier to carry outliving body face image recognition; and (6) outputting an identification result. Correspondingly, the invention further relates to a system for identifying the face of the living body. According to the method and the system provided by the invention, the face of the living body can be quickly and accurately identified, and the high requirement of the embedded equipment for the real-time performance can be met.

The invention discloses a sudden death preventing artificial intelligence life monitoring and cardiopulmonary resuscitation mobile phone, the mobile phone comprises an intelligent mobile phone, an inertia measurement unit, a high-sensitivity microphone, a front camera, a fixing strip, a life monitoring client side and an artificial intelligence server. The fixing strip is used for fixing the mobile phone at a chest position and adhered at the middle of the back of the mobile phone, five millimeters at right side is a strong adhesive region, and the other areas are weak adhesive regions, and inuse, the weak adhesive regions are lifted up and placed under the heel of hand. The life monitoring client side is used for receiving environment sound received by a microphone or the high-sensitivity microphone when a user is sleeping, recognizing apnea of the user and making a call to an emergency contact to seek help. The life monitoring client side is used for guiding rescue people to performcardiopulmonary resuscitation when the user is in apnea and no professional medical personnel exists in the field. The life monitoring client side is used for uploading actions of the rescue people taken by the front camera to an artificial intelligence server to judge whether the actions are correct and give guidance.

The invention discloses a coating composition of a colorful material, the colorful material and a preparation method of the colorful material. The preparation method of the colorful material comprises the following steps of 1) coating a base material with a coating composition A through wire rods, enabling nanospheres to pass through periodically arranged gaps among the wire rods during coating by utilizing the periodically arranged gaps, and after drying and volatilizing a solvent thoroughly, enabling the nanospheres to form a regular and periodically arranged morphology on the surface of the polymer base material; and 2) coating the base material with a coating composition B, drying and volatilizing the solvent completely, attaching the solvent to the coating surface of the obtained coating composition A, and carrying out ultraviolet curing to obtain the colorful material. According to the preparation method of the colorful material, ultraviolet curing is adopted, the production efficiency is high, equipment is simple, a nanosphere coating layer can be selectively transferred to any ideal target base material, and the prepared colorful material has excellent practicability while the colorful effect and various mechanical property effects are guaranteed.

The invention discloses a method for constructing a three-dimensional model based on tissue slices. The method comprises 1, continuously slicing tissue to obtain several parts, carrying out dyeing labeling on all the tissue slices and completely pasting the tissue slices to a corresponding glass slide, or 2, slicing tissue to obtain tissue slices with fluorescence signals and completely pasting the tissue slices to a corresponding glass slide without labeling, and 3, orderly naming the tissue slices according to glass slide numbers through the scanned tissue slice images so that all the images can be arranged in a slice original order, carrying out calibration, and carrying out 3D synthesis on the calibrated images to obtain the three-dimensional model based on tissue slices. The method can realize flexible labeling of the conventional IHC technology and can be used as a conventional technology. The 3D-IHC can realizes antigen labeling of the conventional IHC technology.

The invention provides an ETC-POS processing unit, an electronic toll collection system and method, computing equipment and a medium. On the one hand, the ETC-POS processing unit interacts with an RSUroad side unit; on the other hand, the ETC-POS processing unit interacts with a parking lot lane system; only one set of ETC-POS processing unit needs to be deployed in one parking lot for supportingthe simultaneous access of one or more RSU roadside units, and supporting ETC toll collection service of one or more lanes. According to the invention, the unit is high in integration degree, is convenient to use, can greatly reduce the ETC butt joint difficulty of the parking lot, and reduces the application threshold of the ETC technology in the parking lot scene.

The invention discloses a method for predicting the elastic stress and strain of a thick-wall cylindrical shell in the presence of hydrogen. According to the method, based on the hydrogen embrittlement HELP theory, the elastic stress and strain of the cylindrical shell in the hydrogen environment are directly predicted with the elastic stress and strain of the cylindrical shell in the atmospheric environment. Compared with an existing method for predicting structural stress and strain in the hydrogen environment, the method has the advantage of being simple in principle. Compared with an existing method for predicting the elastic stress and strain of a cylindrical shell, the influence of the hydrogen environment on the stress and strain of the cylindrical shell is considered, and the method has certain reference value for engineering design.

The present invention relates to an anti-interference antenna of a satellite system. The anti-interference antenna comprises an antenna array, a plurality of zero intermediate frequency demodulation devices, a baseband processing device and a zero intermediate frequency modulation device. The antenna array comprises a plurality of antenna array elements, each antenna array element is connected with one zero intermediate frequency demodulation device separately, and each zero intermediate frequency demodulation device is connected with the zero intermediate frequency modulation device via the baseband processing device separately. The antenna arrays elements receive the satellite communication signals emitted by a satellite communication system, the zero intermediate frequency demodulation devices demodulate the satellite communication signals to obtain the baseband demodulation signals, the baseband processing device carries out the amplitude phase correction on the baseband demodulation signals to obtain the amplitude phase correction signals, carries out the DC offset compensation on the amplitude phase correction signals to obtain the compensation signals and carries out the interference inhibition processing on the compensation signals to obtain the anti-interference baseband signals, and the zero intermediate frequency modulation device modulates the anti-interference baseband signals to obtain and output the anti-interference output signals.

The invention discloses an all-optical fiber quantum state simulation device. According to the device, a random wave signal generator is used to simulate the intrinsic properties of part of quantum states, and a traditional discrete element is replaced with an all-optical fiber interferometer, so that simulation and display of the all-optical fiber quantum states are realized. The device utilizesthe interferometer to generate random phase noise modulation, so that the device not only can simulate various quantum states but also can simulate various non-classical special states such as cross-phase modulation and the like, and simulation operation is convenient and easy. The invention further discloses an all-optical fiber quantum state simulation method based on the device. Non-quantum classical modulation and interference means are used for the first time to realize intrinsic property simulation and demonstration of the quantum states, so that the difficulty and cost of quantum technology learning and application are greatly reduced. The device has the easy integration characteristic of an all-optical fiber system, has the high stability and the efficient repeatability, and is anexcellent tool and means for quantum state simulation demonstration and learning.