856results about How to "Guaranteed detection effect" patented technology

The present invention provides a method and a system for transmitting the correct/wrong reply message. In a carrier-aggregated frequency division dual (FDD) system, which a base station is provided with a PDSCH scheduled to a certain UE in a plurality of downlink component carriers, PUCCH channels corresponding with the feedback state of the ACK/NACK reply message are respectively selected for two transmission blocks in each downlink component carrier, and the corresponding 2-bit information in the mapping relationship is transmitted on the PUCCH format 1b. According to the invention, the feedback state on each transmission block is transmitted with a mode of channel selection and PUCCH format 1b. Thus the UE can feed back the feedback information of all transmission blocks of the received descending component carrier, therefore the reducing of the system throughput performance is prevented and the system throughput is guaranteed. Simultaneously, when the base station configuration UE is in a receiving mode of space division multiplexing, the channel condition of the UE is better in general, and the detectability of the ACK/NACK reply message is guaranteed.

The invention is suitable for the technical field of face identification and provides a face detection method and a face detection device. The method comprises steps that a cascaded multi-level convolution nerve network is constructed and trained; an image is inputted to the cascaded multi-level convolution nerve network and sequentially passes through each level of the cascaded multi-level convolution nerve network; if the image is eliminated by one level of the cascaded multi-level convolution nerve network, the image is determined to be a non-face image; if the image is outputted from the last level of the cascaded multi-level convolution nerve network, the image is determined to be a face image. According to the method, multiple types of monitoring information are utilized, characteristics with stronger robustness can be learned and utilized, the face detection effect is better compared with a traditional detector, and the cascaded multi-level convolution nerve network can be utilized to guarantee the face detection effect and the face detection speed.

A method of determining a partition into distinct regions of a set of coefficients representative of at least a part of an image in order to insert a watermark comprises the following steps:

• • generation (E501) of a centred pseudo-random sequence (w) equal in size to the cardinal number (N) of the said set of coefficients, formed from centred pseudo-random sub-sequences;
  • modulation (E502) of the said set of coefficients by the said centred pseudo-random sequence (w) in order to insert the same information bit on the said set of coefficients; and
  • checking (E504–E508), over each region, of a criterion of detectability of the information bit inserted by modulation.

Use especially for determining an adaptative partition as a function of a criterion of detectability of an information bit inserted on each region.

The invention discloses a topic detecting device and a topic detecting method based on distributed multistage cluster. The topic detecting device mainly comprises a news acquiring module, a news classifying module, a topic detecting module, a topic integrating module and a topic displaying module. The topic detecting method is characterized by comprising the steps of A, acquiring news; B, classifying the newly acquired news; C, performing multistage cluster for various channels concurrently; and D, computing hotness of all topics, and screening hot topics of a total system and hot topics in each channel. By the topic detecting device and the topic detecting method, a sharp contradiction between a detecting effect and time cost in topic detection under the condition of quick updating of a large number of files in an internet environment can be solved.

The invention discloses a method for detecting the damage defect of a curved tag based on template matching and similarity calculation, and belongs to the technical field of machine vision and video image processing. The method comprises steps of image acquisition, image preprocessing, template area extraction, defect detection and result display. The image acquisition comprises taking different images of a tag to be tested and a template tag from three angles. The preprocessing process realizes the segmentation of a tag area and an image processing operation for converting a curved surface into a flat surface. The template area extraction achieves one-to-one correspondence between the images of the tag to be tested taken from three different angles and a certain area of a template panorama, enables a bottle rotation angle in image extraction not to be restricted, and reduces system implementation difficulty. A defect detection module, based on a method combining the template matching with the similarity calculation, locks possible defective areas by using short time-consuming template matching, determines whether the defect exists by using exact similarity calculation, and improves detection efficiency on the basis of guaranteeing a detection effect.

The invention provides an image detection method and device, electronic equipment and a computer readable medium, and relates to the field of image recognition. The method comprises the steps: carrying out the multiscale processing of a to-be-processed image through a target skeleton network, and obtaining a multiscale feature image; processing the multiscale feature image through a first networkbranch based on an anchor and a second network branch which is not based on an anchor to obtain a first processing result and a second processing result, wherein each of the first and second processing results comprises: the position information of a target detection frame and/or the probability that the target detection frame comprises a target object; carrying out the fusion of the first processing result and the second processing result, and determining a target object detection result of the to-be-processed image based on a fusion result. The method solves a technical problem that the conventional image detection technology is lower in detection performances when the conventional image detection technology is used for detecting an image with the large-scale changes.

The invention discloses a list successive cancellation decoding method for polar codes, belonging to the technical field of wireless channel coding. In searching of a code tree, a candidate path list is updated as follows: each candidate path in a previous layer of candidate path list is expanded, and a reliable measurement value of each expanded path is computed; then, expanded paths, the reliable measurement values of which are less than the reliable measurement threshold of the current layer, are eliminated, it is determined whether the quantity of left expanded paths is greater than a preset maximum list length lmax, if yes, expanded paths among the left expanded paths, the reliable measurement values of which are the minimum, are eliminated, and the quantity of the last remaining expanded paths is not greater than lmax; and finally, the paths are selected adaptively. Loose ranking of the measurement values of the paths is combined with existing self-adaption polar decoder, so that the apparatus is guaranteed to have the same detection performance as conventional decoders, and decoding complexity is greatly lowered.

The invention discloses a rapid face and face key point joint detection method, comprising the following steps: 1, constructing a teacher network and a student network; 2, inputting a batch of training images, and carrying out data enhancement; 3, dividing positive and negative anchor frame samples according to a self-adaptive scale matching strategy; 4, mining positive and negative samples, calculating a multi-task loss function, and updating network parameters; 5, turning to the step 2 until the training converges to obtain a teacher network model; 6, repeating the steps 2 to 5, adding a transfer learning loss function by using the teacher network model, and training to obtain a student network model; and 7, in a test stage, inputting a test image to the student network model to obtain adetection result. The rapid face and face key point joint detection method can obtain face and key point detection results at the same time, and can increase the speed of the face recognition preprocessing process. The lightweight network provided by the invention is high in reasoning speed and can be deployed in embedded equipment with limited computing power.

The invention discloses a high-precision precise workpiece detecting-sorting machine. The machine comprises a first stander and a second stander, wherein a loading mechanism is arranged on the first stander; a first metal rotating disc, a second transparent rotating disc, a first conveying mechanism and an electric control unit are arranged on the second stander, the first metal rotating disc and the second transparent rotating disc are respectively driven by power devices, and the first conveying mechanism is used for conveying a workpiece from the loading mechanism to the first rotating disc; a first sensor, a longitudinal surface size detection mechanism, a second conveying mechanism and a first receiving mechanism are circumferentially arranged on the first rotating disc, and the second conveying mechanism is used for conveying the workpiece on the first rotating disc to the second rotating disc; a second sensor, a transverse surface size detection mechanism, an appearance detection mechanism and a second receiving mechanism are circumferentially arranged on the second rotating disc; the electric control unit is used for coordinating and controlling the action of each component. According to the high-precision precise workpiece detecting-sorting machine, the mechanical production line automatic detection is realized, and the first rotating disc can be subjected to surface polishing in a later machining period, so that the longitudinal surface size detection precision is improved, and the detection and sorting efficiencies are further increased; meanwhile, as workpieces with different shapes can be detected, the universality is enhanced.

Provided is a remaining amount detection sensor (4) which is disposed outside a sub-tank (3) to detect a remaining amount of an ink (20), including: a detection electrode (4a) disposed so as to face the sub-tank (3); a guard electrode (4b) disposed in the same plane as the detection electrode (4a) so as to surround an outer periphery of the detection electrode (4a); and a guard electrode (4d) which is disposed so as to face the detection electrode (4a) with a space in at least a range covering the detection electrode (4a), and has the same potential as that of the guard electrode (4b), in which the remaining amount of the content of the sub-tank (3) can be detected based on a capacitance to be measured by the detection electrode (4a) with the potentials of the guard electrodes (4b) (4d) each being set as a reference potential. Accordingly, in the remaining amount detection sensor and the ink-jet printer using the same, the remaining amount of the content of the container can be detected with high accuracy.

The invention relates to a detecting and warning device for a school bus. The detecting and warning device comprises a power module, a single chip microcomputer (SCM) control module, a detecting module and a warning module, wherein the power module is composed of a main power supply circuit supplied by an automobile power supply and an auxiliary power supply circuit connected with the main power supply circuit in parallel; the SCM control module is used for receiving data information acquired and detected by the detecting module and sending the data to the warning module after analysis and processing; the detecting module is composed of a sound detecting module and a microwave detecting module and used for acquiring and detecting data information about infrared rays in human bodies and sound respectively; and the warning module comprises an automatic bus door opening module, a sound reminding module and a global system for mobile communications (GSM) short message warning module and is used for executing the data information sent by the SCM control module. The detecting and warning device for the school bus overcomes the shortcomings such as weak self-rescue awareness of children,carelessness of people in charge and the like, and can detect children left in automobiles and inform drivers and other related people timely, therefore accidents of smothered children left in automobiles are prevented.

The invention discloses a remote sensing image change detection method based on watershed and treelet algorithms, belonging to the technical field of image processing. The remote sensing image variation detection method comprises the steps of: imputing two remote sensing images with different phases, denoising each image to obtain two denoised images with different phases and constructing a difference-value difference image; applying the watershed algorithm to obtain an initial over-segmentation labeled graph of the different image and adopting the treelet algorithm to combine the textural features of an over-segmentation labeled region, obtaining variable and non-variable binary images by clustering, and carrying out spatial restraint on the binary images by virtue of a variable-weight Markov stochastic field model to obtain post-processed images with edge consistency, and combing the communicating regions of the clustered binary images and the images with edge consistency to obtain a final change detection result. The method disclosed by the invention can effectively improve the processing efficiency of change detection and keep the edge information of the images, and can be used for detection of image changes in disaster monitoring and land utilization.

The invention discloses a distributed MIMO radar resource combined optimization method based on radio frequency stealth, and belongs to the technical field of distributed MIMO. According to the method, the upper and lower bounds of transmitting power and residence time of each set of radar are determined according to the battlefield environment and the performance of the radar; then a distributed MIMO radar residence time and power resource combined optimization model based on radio frequency stealth is constructed with minimizing of the interception probability of the system acting as the target under the condition of meeting the target tracking performance, and the model is solved through a nonlinear programming genetic algorithm; and the optimal solution of the residence time and the transmitting power of each set of radar is obtained through numerical calculation so that the minimum interception probability of the distributed MIMO radar system meeting the constraint conditions can be obtained. The interception probability of the distributed MIMO radar system can be reduced and the radio frequency stealth performance of the system can be enhanced.

The embodiment of the invention provides an image processing method, device and system and a computer storage medium. The method comprises the step of generating a generative adversarial network, which comprises a generative model and a discrimination model, through the following way that: inputting an input image into the generative model to obtain an output image, wherein the input image and theoutput image have different styles; inputting the output image into the discrimination model to obtain an output value; according to a pre-defined loss function, training the generative model and thediscrimination mode until convergence is realized; and using the trained generative model to obtain a target image which has different styles with the input image of the trained generative model. Therefore, by use of the embodiment of the invention, the generative model can be obtained through training, on the basis of the generative model of the generative adversarial network, the target image which has different styles with the input image can be obtained, so that a dataset used for vehicle detection can be expanded, and therefore, a vehicle detection effect is guaranteed.

The invention discloses an oil and gas pipeline intelligent internal detection device based on multi-module combined location. The device comprises an internal detector arranged inside an oil and gas pipeline and a floor marker arranged outside the oil and gas pipeline. The internal detector comprises a driving system, a magnetic leakage detecting system, a speed control system, a distance measuring system and a low frequency emitting system, wherein the driving system, the magnetic leakage detection system, the speed control system, the distance measuring system and the low frequency emitting system are relatively fixedly connected together; the floor marker at least comprises a low frequency receiving system; the low frequency emitting system is used for sending detection results obtained by the magnetic leakage detection system out of the oil and gas pipeline; the low frequency receiving system is used for receiving low frequency electromagnetic pulse signals transmitted by the low frequency emitting system. The oil and gas pipeline intelligent internal detection device based on the multi-module combined location can timely obtain the detection data of the pipeline detector and analyze the detection data and accordingly rapidly determine the defect conditions of the pipeline.

The invention relates to a world wide web (WEB) hotlinking protection method and a gateway system thereof. The gateway system comprises a gateway configuration module, a hotlinking protection identification generating and distributing module and a hotlinking protection identification extracting and verifying module. 1) A pre-gateway is built between a client-end and a WEB server, the pre-gateway configurates hotlinking protection file types for the WEB server represented by the pre-gateway, the hotlinking protecting function is activated after the configuration takes effect. 2) According to a request type from the client-end, the pre-gateway judges whether a resource request is in the hotlinking protection file types. 3) The hotlinking protection identification is extracted and verified, the resource request meeting set conditions is transmitted to the WEB server from the pre-gateway. By means of the WEB hotlinking protection method and the gateway system thereof, a hotlinking attack can be confirmed in time, the source request is rejected, the WEB server and the diversity and the differentiation of an operation system are shielded, the software configuration of the server does not need to be changed, the service to WEB is transparent, and the previous management model is not affected.

The invention discloses a method for detecting abnormal events of a wireless sensor network in a distributed way. The method comprises the following steps of: (1) acquiring the initial data of all the sensor nodes, and determining observation number of networks; (2) clustering all the nodes, acquiring the current observation number of each cluster, and constructing an initial vector for each cluster; (3) acquiring the current observation vector of each cluster; (4) acquiring the current reconstructed data vector of each cluster; (5) acquiring the current restored data vector of each cluster; (6) judging whether each node in each cluster has leaking detection or a false detection or not; (7) judging whether the times of weighing base tracing reconstruction of each cluster reach a preset value or not, if so, performing step (10), otherwise, updating weighing matrix parameters of the weighing base tracing reconstruction of each cluster; (8) updating the observation number of each cluster; (9) after updating the random Gauss matrix of each cluster, returning to the step (3); and (10) calculating the total number of elements of which the element value is 1 in the restored data vector of all the clusters.

The invention discloses a kit using a magnetic particle chemiluminiscence method to measure osteocalcin (BGP) content. The kit comprises a calibration article, a quality control article, a resisting reagent, a magnetic particle reagent and a light-emitting substrate, wherein the resisting reagent comprises an antibody marked by fluorescein isothiocyanate and coated by osteocalcin and an antibody marked by alkaline phosphatase and osteocalcin; the magnetic particle reagent is used for connecting magnetic particles with anti-goat FITC. The kit has the advantages that the chemiluminiscence technology is combined with immune magnetic particles, a reaction system close to homogeneous phase is provided, a one-step reaction mode is used, the detection sensitivity and precision of the kit are increased greatly, the detection range of the kit is increased, reaction time is shortened greatly, time from sample feeding to a detecting result is less than 35 minutes, and the detection speed of the kit is evidently higher than that of similar kits; the kit can detect multiple samples at the same time on full-automatic chemiluminescence apparatus, high-throughput and fast measuring of the osteocalcin is achieved, the kit is high in accuracy and high in specificity, and the accuracy and detection efficiency of the kit are increased greatly.

The invention relates to the field of image processing, and provides an image detection method, and the image detection method comprises the steps of preprocessing an inputted image; extracting characteristics of the preprocessed image and compressing the preprocessed image; and contrasting the characteristics of the compressed image, judging the characteristic as similarity if the characteristics satisfy a judgment condition, and otherwise judging the characteristic as dissimilarity. The invention also provides an image detection system. By adoption of the technical scheme, the requirement for real-time detection can be met, and the detection effect of the approximately repeated image can be guaranteed.

The invention discloses a magnetic vortex array imaging detection method and a magnetic vortex array imaging detection device for detecting the defect of a steel plate, wherein the method comprises the following steps: acquiring a characteristic parameter and determining an optimal excitation frequency; exciting a sinusoidal alternating current magnetic field and inducing an alternating vortex current; acquiring an induction alternating magnetic signal near a detected area of the detected steel plate; processing the induction alternating magnetic signal and conducting the first differential transformation operation to obtain a transformed differential signal; judging whether the differential signal is less than the preset threshold, if so, judging that no defect exists, otherwise, judging that the defect exists, and extracting an area signal; inputting the area signal into a constructed neural network model to implement defect reverse inversion to obtain a defect profile parameter; and drawing a defect profile according to the defect profile parameter to realize imaging. The method uses a concentric ring type magnetic vortex array detection array to detect the defect, so that the defect of the steel plate is detected at the high accuracy, the detection accuracy is improved, and the defect imaging effect is improved.