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1403results about How to "Avoid blindness" patented technology

Design method for mixing proportion of self-compacting concrete mixture

The present invention belongs to the technical field of concrete construction and particularly relates to a design method for a mixing proportion of a self-compacting concrete mixture. The method comprises the steps of: determining a performance design target; determining mixing strength and a water-binder ratio; determining densest gradation (or a sand rate) of aggregates and void ratios of different packing states; determining the usage amount of binding materials and mixing water; determining the usage amount of the aggregates; determining the usage amount of additives; determining the actual adding amount of the mixing water; and the like. According to the method provided by the present invention, aimed at blindness of material selection during self-compacting concrete mixing proportion design in the prior art, based on a fundamental theory of particulate dense packing and a composition rule of reaching a densest packing state of solid particulate materials with different particulate diameters, a mixing proportion of different materials is determined by an actually measured densest packing state, and relationships are established between the material mixing proportions corresponding to different densest packing states and expected self-compacting performance grades of the mixture, so that the design method used for the mixing proportion of the self-compacting high-performance concrete mixture and based on a use performance as a target is constructed.
Owner:ZHENGZHOU UNIV

Intelligent advertisement pushing system based on face recognition

The invention discloses an intelligent advertisement pushing system based on face recognition. The intelligent advertisement pushing system comprises an advertisement pushing client and a server. The advertisement pushing client comprises a plurality of advertisement machines. Each advertising machine comprises a client processing module, an advertising screen and a camera. The client processing module analyzes an image acquired by the camera, receives the control information of a server and controls the advertisement information displayed on the advertisement screen. The server is used for receiving the face information and the state information sent by the client processing module, and sending control information and the advertisements related to the information to the client processing module by analyzing the state information, forms the optimal strategy of the advertisement displayed in the advertisement screen of each region by analyzing the face information and state information received in each region in the set time, and sends the corresponding advertisement information and control information to the corresponding client processing module. The intelligent advertisement pushing system improves the advertisement conversion rate, reduces the running cost and increases the return rate of the advertisement dealer.
Owner:HOHAI UNIV CHANGZHOU

Character confidence degree-based secondary license plate identification method and apparatus

The invention relates to the field of double dynamic license plate identification, and provides a character confidence degree-based secondary license plate identification method and apparatus for the problems existent in the prior art. The method comprises the steps of performing character identification through template matching; giving out confidence degrees of identification results; for the results with relatively low confidence degrees, performing video super-resolution processing to obtain a frame of high-quality image; and based on the image, performing secondary license plate identification through a neural network classifier. According to the method and the apparatus, a license plate confidence degree threshold Th is preset; a picture is captured from a front end and license plate locating and segmenting are performed; characters of a license plate are identified; character identification confidence degrees and license plate identification confidence degree are calculated; when the character confidence degrees are all higher than the threshold Th, a license plate identification result is directly given, otherwise, the video super-resolution processing is performed; a frame of high-quality image is obtained by utilizing time domain information; and based on the image, the to-be-identified characters are input to classifiers for performing identification according to a position relationship of the to-be-identified characters, so that a final license plate identification result is obtained.
Owner:长信智控网络科技有限公司

Floating vehicle information processing method under parallel road network structure

The invention relates to a method for processing the information of float cars under the structure of a parallel road network, which is mainly applied to the service field of the intelligent dynamic traffic information. The method comprises the steps: step 1, an SVM (Support Vector Machine) sorter is adopted to judge the matching relationship between sampling points and roads, and map match is carried out; step 2, according to map match information, a heuristic route deduction algorithm is adopted to deduce possible running routes of a car, and according to the properties of road chains contained in the routes, whether the car runs in the structure of a parallel road network or not is judged; the shortest running route or a main running route and a subsidiary running route are selectively output in different circumstances, and the reliability of average running speed information provided by the car is estimated; step 3, the D-S (Dempster-Shafer) evidence reasoning theory based on classification is adopted to merge road condition information provided by all the float cars passing by a certain road chain in a current period and consider the reliability of the road condition information in a merging process so as to obtain the mathematical expectations of the average speed and the travel time of the float cars passing by the road chain in the current period. On the basis that the data quality of the prior float cars is kept unchanged, the invention realizes the acquisition of the real-time dynamic traffic information under the structure of a parallel road network.
Owner:BEIHANG UNIV

Method for forecasting advanced geology for tunnel construction

The invention relates to an advanced geological forecast method in the tunnel construction filed, comprising the following steps of: determining a hole prospecting proposal according to a middle or short term forecast and placing a radar antenna in after a hole is drilled to collect radar signals and determine whether any abnormal geologic body exists; if no geologic body exist, continuing construction; if geologic body exists, drilling again, placing a radar antenna in so as to collect signal and determine whether any abnormal geologic body exists; if no geologic body exist, continuing construction; if geologic body exists, drilling again and placing a radar antenna in so as to collect signals. Describing the spatial positions of the abnormal geologic bodies according to the signals obtained during the three times so as to provide operational geologic information for further processing. The advanced geological forecast method can be used in a wide exploration scope, can accurately forecast the abnormal spatial geologic phenomenon in front of an excavating face, provides reliable assurance for reducing collapse and rapid construction, is applicable to exploration of high resolution at deep underground and deep tunnel excavating face and is an uniquely feasible and effective exploration means to deep engineering in many cases.
Owner:CHINA RAILWAY NO 2 ENG GRP CO LTD +1

Intelligent distribution network reconstruction method concerning distributed power generation and energy storage unit

The invention discloses an intelligent distribution network reconstruction method concerning a distributed power generation and energy storage unit. The method comprises the following steps: building a multi-target multi-constraint mathematical model for distribution network reconstruction, encoding control variables in the model, then adopting the improved NSGA-II (Nondominated Sorting Genetic Algorithm II) for solution, repeatedly calling a three-phase load flow calculation module in the calculation process, decoding individuals of all generations of population in the NSGA-II, conducting three-phase load flow calculation to the decoded network reconstruction schemes to further obtain the adaptation degree of all the network reconstruction schemes, and feeding back to the NSGA-II for optimal treatment. The multi-target multi-constraint mathematical model built in the invention can simultaneously concern the influences of the distributed power supply and energy storage unit; the adopted multi-supply three-phase forward-backward sweep method can well put the three-phase unbalance characteristic of the distribution network into consideration, and is high in computing speed; the quick NSGA with the out-of-limit rejection strategy can avoid weight setting blindness, can promptly eliminate infeasible solution and is high in computational efficiency.
Owner:STATE GRID CORP OF CHINA +1

Thread for high-performance computer NUMA perception and memory resource optimizing method and system

ActiveCN104375899ASolve the problem of excessive granularity of memory managementSolve fine-grained memory access requirementsResource allocationComputer architecturePerformance computing
The invention discloses a thread for high-performance computer NUMA perception and a memory resource optimizing method and system. The system comprises a runtime environment detection module used for detecting hardware resources and the number of parallel processes of a calculation node, a calculation resource distribution and management module used for distributing calculation resources for parallel processes and building the mapping between the parallel processes and the thread and a processor core and physical memory, a parallel programming interface, and a thread binding module which is used for providing the parallel programming interface, obtaining a binding position mask of the thread according to mapping relations and binding the executing thread to a corresponding CPU core. The invention further discloses a multi-thread memory manager for NUMA perception and a multi-thread memory management method of the multi-thread memory manager. The manager comprises a DSM memory management module and an SMP module memory pool which manage SMP modules which the MPI processes belong to and memory distributing and releasing in the single SMP module respectively, the system calling frequency of the memory operation can be reduced, the memory management performance is improved, remote site memory access behaviors of application programs are reduced, and the performance of the application programs is improved.
Owner:INST OF APPLIED PHYSICS & COMPUTATIONAL MATHEMATICS

Operation state control decision making method of mine ventilation system

The invention discloses an operation state control decision making method of a mine ventilation system, and belongs to a mine ventilation control decision making method. The method comprises the following steps: (1) establishing or updating a current mine ventilation system model; (2) acquiring and updating ventilation system parameters in real time; (3) inspecting the rationality of the operation state of the ventilation system; (4) adjusting and solving ventilation network air volume in the case of a given mine total air volume when the operation state of the ventilation system is irrational, and adjusting and optimally solving the ventilation network air volume if a feasible solution is not available yet; (5) determining a fan matching working condition, performing air volume adjustment and solving for gradually expanding natural air distribution on an air network according to a maximum air pressure characteristic curve allowed by the fan, and finally determining an optimal executable scheme for air volume adjustment of the mine ventilation system. A mass flow and air density double-layer iteration method is adopted in the air volume adjustment and solving, and a sensor for monitoring underground air density can be saved. Technical support is provided for keeping rational, stable, reliable and high-efficiency operation of the mine ventilation system for a long time.
Owner:CHINA UNIV OF MINING & TECH

Cerebral palsy child rehabilitation training method based on Kinect sensor

InactiveCN104524742AAccurate detection of coordinated actions in real timeImprove coordinationDiagnostic recording/measuringSensorsCerebral paralysisMuscular force
The invention discloses a cerebral palsy child rehabilitation training method based on a Kinect sensor. The method comprises the following steps: S1, acquiring skeleton point data of a child; S2, carrying out limb movement training and judging the tilting angle and uplifting angle of skeleton points of the child, wherein after the child conducts a movement, the movement of the child is captured, and the tilting angle and uplifting angle of the joint points of the head, the upper limbs and the lower limbs are judged; S3, carrying out robust interactive processing on the movement of the child; S4, connecting a game engine and sending child skeleton data obtained after robust interactive processing in the step S3 to the game engine; S5, feeding back the movement of the child in a voice mode to remind the child of non-standard movements and encourage the child to conduct standard movements; S6, estimating the progress of rehabilitation training of the child. According to the method, the movement behavior characteristics of the child in training are acquired based on microsoft Kinect, so that the cardiovascular endurance, muscular endurance, muscular force, balance and flexibility of the child are comprehensively developed.
Owner:HOHAI UNIV CHANGZHOU

Fuzzy rough set and decision tree-based track circuit red light strip fault positioning method

InactiveCN106202886AAttribute reductionAvoid logical operationsCharacter and pattern recognitionInformaticsFuzzy discretizationDiscretization
The invention discloses a fuzzy rough set and decision tree-based track circuit red light strip fault positioning method. The method mainly comprises the following steps of: 1) establishing an initial decision table; 2) carrying out fuzzy discretization on continuous fault feature attributes to establish a fuzzy decision table; 3) inputting fault sample training data to obtain a reduced decision table; 4) establishing a diagnosis decision tree model; 5) inputting measured data into the diagnosis decision tree model, carrying out calculation to obtain a fault diagnosis result, inputting the measured data into a diagnosis positioning decision tree model, carrying out preliminary judgement to obtain a fault positioning result, judging faults of specific equipment by combining expert experiences, and giving corresponding fault maintenance suggestions. The method can rapidly and correctly position fault points of uninsulated frequency shift track circuit red light strip faults, greatly reduce the blindness and complexity of fault diagnosis, have relatively good rule explanation and relatively good robustness, improve the fault positioning speed and correctness and provide a new fault positioning technological means for intelligent fault diagnosis of track circuits.
Owner:CHINA RAILWAYS CORPORATION +1
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