1869results about How to "Scalable" patented technology

The invention discloses a vehicle type recognition method based on a rapid R-CNN deep neural network, which mainly comprises unsupervised deep learning, a multilayer CNN (Convolutional Neural Network), a regional advice network, network sharing and a softmax classifier. The vehicle type recognition method realizes a framework for implementing end-to-end vehicle detection and recognition by using one rapid R-CNN network in a real sense, and is capable of carrying out quick vehicle sub-category recognition with high accuracy and robustness under the environment of being applicable to the shape diversity, the illumination variation diversity, the background diversity and the like of vehicle targets.

The invention discloses a firmware upgrading method based on digital signatures, and a device thereof, wherein the upgrading method comprises the following steps: encapsulation is performed according to a predefined encapsulation structure so as to generate an upgrading file based on a digital signature; a product needing firmware upgrading obtains the upgrading file; a digital signature file is extracted from the upgrading file and decrypted, so as to obtain an XML file; the XML file is analyzed so as to screen out upgrading module files needing to be upgraded; the legitimacy and integrity of every upgrading module file needing to be upgraded are verified respectively, so as to generate an upgrading script for upgrading all the upgrading module files which pass verification; and the upgrading script is executed so as to upgrade the firmware. The invention discloses a firmware encapsulating method based on digital signatures, and a device thereof. The invention verifies the integrity and legitimacy of every upgrading module file in the upgrading file through the digital signature file, and generates the upgrading script to finish upgrading firmware, thereby improving the security and convenience of firmware upgrading.

The invention relates to a multi-platform target tracking and distributed interactive simulation system in the technical field of simulation. The system comprises a target generation module, an aerial sensing platform, an emergency processing platform, a ground control center platform and an HLA distributed interactive simulation module, wherein, the target generation module generates a system tracking object at random; the aerial sensing platform comprises various detecting devices for performing fusion to the detected information and then transmitting the information to the ground control center platform; the ground control center platform integrates all the field information, evaluates the entire field situation and promptly makes an emergency decision; the emergency processing platform receives the information and the commands and realizes target tracking by using airborne equipment; and the HLA distributed interactive simulation module enables the modules to establish an HLA distributed system structure through a distributed network and realizes the multi-information network interconnection. The invention has the advantages of flexibility and extendability, can improve the tracking effect, enhance the visibility of scene demonstration and be widely applied to the fields such as public safety, disaster relief assistance and the like.

The invention discloses a method for the fault diagnosis of wind turbines on the basis of a genetic neural network, in particular to a method for modeling the fault diagnosis of wind turbines on the basis of the genetic neural network capable of learning the operating data of the wind turbines in the history, more particularly a method for judging the probability that faults occur to a gearbox, a generator and a yaw system by reading the real-time operating data of the wind turbines online and calling the diagnosis model of the genetic neural network to carry out the analysis on the real-time data, thus judging the fault state of the wind turbines. Based on the method combining the genetic algorithm with the neural network, the invention can achieve the algorithm complementation, improve the model convergence and diagnostic capacity and ensure higher robustness; and the method capable of carrying out the online monitoring and fault diagnosis on the operating state of the wind turbines on a real-time basis to take maintenance measures as soon as possible can improve the reliability of the wind turbines and reduce the maintenance cost.

The invention provides an integrated millimeter wave active phased-array antenna. The integrated millimeter wave active phased-array antenna is reliable in performance, ensures that the number of chips can be reduced, and reduces cost. According to the technical scheme, an antenna bearing layer is integrally connected to a feed network through an antenna array surface and a TR assembly; micro-strip patches of the antenna array surface are arranged below the antenna bearing layer according to a rectangular grid array and are connected with power amplifier chips of the TR assembly according to a 8*8 array scale, and every four power amplifier chips are connected with a four-channel integrated phase shifter to constitute a 2*2 sub-array circuit to be integrally connected with the feed network downwards; a radio frequency signal is input to a power dividing network through the feed network and is disseminated into four paths of radio frequency signals through a plurality of four-channel integrated phase shifters, and the radio frequency signals are input into corresponding power amplifier chips, are transmitted to the micro-strip patches and are transmitted; sixteen four-channel integrated phase shifters and sixty-four power amplifier chips are controlled by control signals through a low-frequency signal network to finish radio frequency signal space power synthesis and beam scanning.

The invention discloses a device for automatically marking an additional external axis robot based on laser tracking measurement and a method thereof. The device comprises a system platform, a target flange, target mounting holes, a robot guide rail, a robot, a laser tracker, a workpiece, a numerical control finish machining machine tool, a three-coordinate numerical control locator, and an upper computer, wherein the system platform is provided with 9 target mounting holes processed by the numerical control finish machining machine tool, the three-coordinate numerical control locator and the robot guide rail; the workpiece is fixed on the three-coordinate numerical control locator; the robot is arranged on the robot guide rail; the target flange is arranged on the robot; 6 target mounting holes are arranged on the target flange; the targets are arranged on the target mounting holes; the numerical control finish machining machine tool, the laser tracker and the upper computer are installed at the outer side of the system platform. The device has the advantages that: (1) the device is capable of automatically marking the robot coordinate system with the additional external axis; (2) the device is high in marking precision and reliable in marking result; and (3) the device is further simple in marking operation and high in efficiency.

The invention discloses a method for publishing and broadcasting streaming media on the Internet in a live mode. The method is realized based on a system for publishing and broadcasting streaming media on the Internet in a live mode, and the system comprises a publishing client side, a server side and a playing client side, wherein the publishing client side is interactive with the server side through an HTTP method and uploads streaming media blocks to the server side, the server side merges and stores the streaming media blocks into streaming media subsections according to set streaming media subsection time and creates an index corresponding to the sequence of a plurality of streaming media subsections, and the playing client side is interactive with the server side and downloads the streaming media subsections from the server side for playing according to the index sequence. The method for publishing and broadcasting the streaming media on the Internet in the live mode is based on the HTTP protocol system, can be in simple application integration with a collecting side in a low coupling and non-intrusive mode, is easy to realize on various terminal platforms, is short in time delay of live broadcast, is good in robustness and fault tolerance, and supports large-scale deployment on the Internet and a CDN deployment mode.

A city emergency evacuation simulation system based on multi intelligent agent belongs to the complex system simulation in the technical field of computerized emulation and solves the problems of single function of emergency simulation systems of all kinds and lack of intelligence of code of conduct of emergency entity. The system comprise a database module, a communication module, a parameter configuration interface module, a data management module, an intelligent agent generation module, a program execution module, a simulation module, a commanding and decision-making module and an assessment module. The database module comprises a generalized database, a knowledge base and a model base; wherein, the generalized database comprises a dangerous source subdatabase, a resource subdatabase, a foundational geodata subdatabase. The system can establish an efficient intelligent model, describes the precise behavioral process of emergent intelligent agents of all kinds in the state of disasters and emergency from two levels of macroscopy and microcosmic, can custom-make a parameter and expanded intelligent model, has commonality and expansibility, and makes up the shortage and deficiency of the city emergency evacuation simulation study in regionality and comparatively large ranges.

The invention discloses a case legal regulation recommending method. The method comprises the steps of 1, obtaining judgment document information and basic case deciding legal regulation information,and processing sensitive information involved in a judgment document; 2, preprocessing the obtained judgment document to obtain structuralized information and non-structuralized information; 3, vectorizing the structuralized information, conducting sentence splitting and word splitting on the non-structuralized information, afterwards vectorizing the non-structuralized information, and jointly coding the vectorized structuralized information and the vectorized non-structuralized information to form judgment document vectors; 4, inputting the judgment document vectors to a criminal type prediction model to obtain a detailed type of a corresponding case and a legal regulation applied in the type of the case; 5, predicting a criminal type of the case to obtain a relevancy matrix of a legal provision, calculating legal regulation confidence coefficient applied in a similar case, and finally putting forward a legal provision recommending combination applied in the case based on the criminaltype and the similar case.

The invention discloses an intelligent home device remote monitoring device and method which are used for solving the problems of space limit and safety, instantaneity and efficiency of remote monitoring of a remotely monitored mobile terminal, and home devices. The intelligent home remote monitoring device comprises a home control host, a mobile terminal, a remote server and a controlled home device. A monitoring device on the mobile terminal is connected with the home control host under the assistance of the remote server in a P2P connection manner; the home control host is connected with the home device; and the home control host is provided with a configurable, extensible and customizable protocol device used for adapting to the home device. The intelligent home remote monitoring device has wide remote monitoring application range, high safety, high instantaneity and high efficiency.

The invention discloses a distributed system and a data synchronization method thereof. The method comprises the following steps of: when updating of data of a data sheet stored in a main server is monitored, determining whether data of the updated data sheet need to be synchronized to a corresponding service server; if the data of the updated data sheet need to be synchronized to the corresponding service server, acquiring configuration information of the updated data sheet and the address information of the corresponding service server; generating a synchronous notice message according to the acquired configuration information and transmitting the generated synchronous notice message to the service server through the acquired address information; and synchronizing the data of the updated data sheet according to the configuration information in the received synchronous notice message by using the service server. By adopting the method, automatic synchronization of the data sheet is realized, and the civilization complexity is lowered.

The invention discloses a large-data-flow-based network traffic abnormality detection system and method. The large-data-flow-based network traffic abnormality detection method is characterized by comprising the following steps: acquiring network packet information in network equipment in real time in a distributed manner; transmitting the network packet information to a distributed flow processing platform in real time for network data analysis, feature matching and access counting; storing the analyzed and detected network data into a large data platform according to an abnormal status so as to facilitate clustering analysis and classified training of the network data and dynamically update a network data protocol characteristic library. Through the system and the method, real-time detection is achieved through a distributed flow-type processing mechanism; through distributed storage of the large data platform and through the data calculating and analyzing capability, the distributed storage of the network data is achieved and the network data protocol characteristic library can be trained more accurately.

The invention discloses a method for acquiring an aromatic rice strain by targeting a Badh2 gene via CRISPR/Cas9 gene editing technology. The method comprises the following steps: separately targeting sequences, recognizable by Cas9, of every exon and intron of an aromatic gene by using the CRISPR/Cas9 gene editing technology and then cutting a genomic DNA sequence to initiate DNA restoration so as to obtain an afunctional Badh2 gene; with the callus of Indica rice, japonica rice or glutinous rice as a receptor material of genetic transformation and an mature embryo, young ear, ovary or the like as explant, carrying out induction so as to obtain a diploid callus, introducing a targeting vector into cells of the callus by using an Agrobacterium mediated transformation method, screening and identifying positive plants and separating the plants from a T1 colony so as to obtain an aromatic rice strain; and with anther, pollen, unfertilized ovary or the like as explant, carrying out induction so as to obtain a haploid callus, introducing the targeting vector into cells of the callus by using the Agrobacterium mediated transformation method, screening a positive callus, reduplicating the positive callus by using colchicine, carrying out differentiation to form seedlings and identifying genetic transformation positive plants so as to eventually obtain the aromatic rice strain.

The invention relates to a motion-sensing technology based kindergarten intelligent monitoring method, which comprises the steps of installing 3D motion-sensing equipment in a kindergarten, capturing 3D human body skeleton images of children in real time, extracting key joint feature vectors, inputting the feature vectors into a motion classifier so as to carry out motion classification, and finding out motions with the highest matching degree, wherein motion classification is trained in advance through a machine learning method. The method provided by the invention can realize detection, analysis and tracking for human body motion postures and figure motion trails through a three-dimensional visual perception technology, and motions of the children are captured dynamically in real time, so that dangerous behaviors such as fighting, tumbling and boundary crossing can be predicted, and a warning is given out in advance so as to reduce occurrence of kindergarten accidents.

The invention discloses a core algorithm of a blockchain Internet model (golden monkey model) of across-chain transaction. The model is a fully distributed and multi-chain network structure which can more easily carry out expansion, extension and fault tolerance than a traditional centralized structure. Each chain maintains own consistency, the consistency between chains is maintained by a fully distributed mechanism so as to break through the restriction of a centralized model, all chains can be operated in parallel, and transaction efficiency and network operation speed can be improved. The model is a new financial market structure which can be expanded, a financial department can easily enter or level at any time, and a large-scale network and a high transaction amount are supported. The method comprises a participating chain and a middle chain, wherein he participating chain and the middle chain both can be one or one group of financial mechanisms, and the across-chain transaction can be realized. The invention is the core algorithm for the transaction between the chains, especially a protocol algorithm that the middle chain assists in at least two participating chains to carry out mutual transaction, and a situation that a center mechanism maintains the consistency of the whole network is avoided.

The invention relates to an intelligent decision simulating experimental system based on multi-Agent technology, belonging to the crossed field of computer simulation, artificial intelligence and management experiment, and being the breakthrough and the development of a management experimental methodology and an intelligent decision support system on the concept, the theory, the technology and the function. The system is a large-scale experimental platform for carrying out simulation assisted prediction and decision on discrete events in management activities of the real world. In the method, an isomerized Agent and the group collaboration thereof are creatively used as leading roles of transparent processing of a decision experiment and a system simulation, four functional sub-systems, four layers of Agent system structures and four types of local databases are established, and predictions and decisions of four simulating experimental methods are applied to unify a system module. The invention is based on an internet, synthetically uses several new technologies of cloud computing and the artificial intelligence, increases functions of games of strategy, machine planning, knowledge discovery and logic self-building, and has super experimental capability. The invention is a new way for developing the management experimental technology and the intelligent decision support system.

The invention discloses an improved system for sending multi-files. The system comprises a receiving unit, a packing unit, an unpacking unit and a releasing unit, wherein the receiving unit is used for receiving multi-file drag-drop events and sending the request message for packing multi-files to the packing unit; the packing unit is used for receiving the request message for packing multi-files and packing the multi-files in a packing way based on an expansion markup language according to the request message; the unpacking unit is used for unpacking the packed files; the releasing unit is used for asking about the file directory in which the end user wants to save and for releasing the file selected by the end user if the save confirmation message is received from the end user. The invention further discloses an improved method for sending multi-files. The system and method are convenient for the end users to receive a plurality of files at the same time, which not only reduce the operation complexity of the end users, but also improve the success ratio and efficiency of end users in sending files.

The invention provides a multi-type workpieces batch visual measuring system and a method, and belongs to the field of industrial detection automation. The measuring system comprises a data processingterminal, a workpieces detecting unit, an image acquiring unit, a control unit and the like. The measuring method comprises the following steps of: judging whether the to-be-detected workpieces are put into a detecting platform or not; obtaining a local depth image; obtaining a global image; identifying the type and number of the workpieces; and completing the size parameter measurement requiredby the measurement task. According to the multi-type workpieces batch visual measuring system and method, multiple kinds and multiple workpieces can be simultaneously detected at the same time; compared with traditional measurement means, the type and quantity of the workpieces, speed and accuracy and the like in measuring are significantly improved.

The present invention relates to a geographical information system used for electrical power system, wherein the system comprises a human-computer interface module, a basic geography data module, a elementary graph operation module, a view display module, a electric network device management module, a power distribution network equipment input module, a power distribution network equipment attribute maintenance module, a electric power network topology maintenance module, a line maintenance module, a underground pipe network management module, a search statistical form module, a pole tower detailed statement management module, a network topology maintenance module, a electric network topology analysis function module, a single line figure management module, a scheduling system drawing management module, a graph input-output function module and a system administration module, wherein the human-computer interface module connects with every other module mutually. Compared with prior art, the present invention is provided with definite openness, normality, flexibility, expandability, high security and economy, and the like.

The invention discloses a low-complexity quantum circuit simulation system, and belongs to the field of quantum computing. The low-complexity quantum circuit simulation system overcomes the technicalproblems in the prior art that the quantum circuit simulation storage space is too large and the calculation time is too long. The system comprises an input module, a storage module and an output module, the storage process of the storage module for data is as follows: (1) a mathematical model is established to represent the operation of a quantum state and quantum logic gate; (2) quantum bits aregrouped and the serial numbers of the quantum bits are rearranged; (3) degree reduction is conducted on a total operation matrix U0, and an output state is calculated. According to the system, a matrix element of a quantum state vector is directly operated by using an connotative inherent law of a quantum logic gate, at the same time, the method has expandability, in the future, a supercomputer can be used to simulate a quantum computer with more bits.

The invention discloses an autonomous and cooperated type aircraft cluster system and a running method. The aircraft cluster system mainly comprises at least one node aircraft cluster, wherein the node aircraft cluster has an autonomous running capability and a network information connection function, the node aircraft cluster is provided with a resource sharing interface, node aircrafts in the node aircraft cluster are connected with each other by a space self-organizing network, the node aircrafts in the aircraft cluster fly in shared navigation and cluster flight modes, the commutation is realized by the space self-organizing network, and the fleet configuration is automatically adjusted according to the task existing condition. When the aircraft cluster receives a task instruction, the resource scheduling, the task planning, the task reconfiguration and the failure regrouping are autonomously carried out according to the task types, so as to further complete the tasks. The autonomous and cooperated type aircraft cluster system is suitable for quick or maneuvering launching of small carrier rockets, the quick response of the space system is greatly improved, and the risk of the in-orbit failure of the aircrafts is reduced.

The invention provides an intelligent mobile terminal television remote control system, the hardware frame of which comprises: (1) a intelligent handset terminal, used as a remote terminal for realizing multifunctional remote control operation, having a blue tooth communication function and equipped with Microsoft Windows Mobile 5.0 operation system; (2) a media center PC terminal, used as a server side for processing and controlling data, equipped with Microsoft Windows XP Media Center Edition operation system; (3) a high definition television terminal, used as display terminal for receiving television signals transmitted form the media centre PC terminal and displaying the signals on screen; the above hardware frame realizes the mentioned functions by the server side assembly, the intelligent mobile terminal assembly and a data transmitting assembly. The invention adopts blue tooth communication technology and utilizes intelligent handset terminal to completely realize the function of using handset to remote control television and displaying the sub channel program on the intelligent handset. The system has reliability, robustness, easy-maintainability and expansibility, and lays a good base for establishing more and better applications.

The invention relates to an ancient writing identification method and system based on deep learning, which comprises the following steps of: obtaining an ancient writing image data set and making a classification label; preprocessing an image in the image data set, and expanding the data set through image augment; extracting feature on the image data set which has been preprocessed and image augmented through a deep neural network, and classifying extracted features through a classifier so as to realize evolution identification of the seal script of different times; and using artificial designfeatures for performing auxiliary training by using template matching method so as to further classify classification results of the classifier. According to the ancient writing identification methodand system based on deep learning, correct classification can be achieved more accurately according to improved deep convolutional neural network model, and performing auxiliary training by virtue ofthe traditional artificial design features, classification accuracy is further improved, and better experience is provided for the user group with ancient writing identification needs.

The invention provides a digital switch converter with fast transient response capability. The digital switch converter comprises a Buck type switch converter power level main topology structure, an A/D (analog-to-digital) sampling conversion unit, a prediction control unit, a fuzzy PID (proportion integration differentiation) control unit, a DPWM (digital pulse width modulation) unit and a driving unit, wherein the A/D sampling conversion unit respectively samples the analog output voltage value and the analog inductor current value of the sampling switch converter and converts analog signals into digital signals, the prediction control unit predicts the next switch period output voltage value according to the A/D sampling digital signal value combined with the Buck type switch converter main topology structure, the fuzzy PID control unit determines the switch period duty ratio according to the output voltage error value and the output voltage error deviation value, and the DPWM unit and the driving unit output the corresponding on-off state of a power tube of the PWM driving switch converter according to the duty ratio for regulating the output voltage value.

The invention discloses a physical simulation testing device used in graff contaminant transmission under the action of temperature-hydraulic coupling. The testing device comprises a simulation container, an air pressure control device, a temperature control device, a circulating water system and an online control and monitoring system. The testing system can realize physical simulation test of transmission dynamic characteristics of contaminants in rivers, aqueducts, sewage trenches and surrounding soil and ground water, and integrate monitoring, control and data acquisition; moreover, the testing system realizes real-time display and intelligent control of water level, temperature and pressure variations in the testing system, and carries out overall process acquisition, analysis and visualized input and output on testing data through a data acquisition program. The testing system has the characteristics of reasonable structure, convenient operation, high precision of testing data, quick automatic data acquisition, short testing cycle as well as ideal modularization, openness and expansibility, and the like. In addition, the testing system provides parameter basis to disclose the transmission mechanism of contaminants in soil and ground water under complicated environmental conditions and analyze migration and transformation rule, and also provides technical support for appraising pollution control and treatment technical proposals.

The invention provides an embedded-type real-time intelligent traffic monitoring system based on video streaming technique, which mainly comprises two DSP modules, an ARM module and an FPGA logic control module. The two DSP modules perform the high-speed real-time processing of video images. The ARM module controls the operating mode of the two DSP modules and transmits an image processing result to the peripheral equipment via a peripheral interface. The FPGA logic control module supports the coordination control of the system and the cache storage of the images. The embedded-type real-time intelligent traffic monitoring system integrates the functions of the DSP, the ARM and the FPGA, has the advantages of high computing capacity, various interfaces and flexible communication mode, is applicable to various complex traffic conditions, and has wide application range.