146results about How to "Good detection effect" patented technology

The invention relates to a monitoring anti-theft tracker for a power supply transformer which comprises a GPS tracing positioning module, a monitoring sensor, a wireless communication module, a battery and a power control module which is used for a selecting transformer to charge for the battery or the battery to supply power to an anti-theft processor. A single-phase terminal of the transformer is connected with the power control module. The battery is connected with the power control module which is connected with the anti-theft processor. The anti-theft processor also comprises an anti-theft processing module which is used for sending out an anti-theft alarming instruction according to an abnormal signal of the monitoring sensor and a data transmission module which is used for extracting GPS address information and sending number of the transformer, the GPS address information and the anti-theft alarming instruction to the wireless communication module. The monitoring sensor is connected with the anti-theft processing module. The GPS tracing positioning module and the anti-theft processing module are connected with the data transmission module. The data transmission module is connected with the wireless communication module. The monitoring anti-theft tracker for the power supply transformer has the advantages of good reliability and good detection effect and can trace the position of a stolen transformer in time.

The invention discloses an identity authentication system based on living body detection and face verification, which comprises a face verification module and a lip language recognition and verification module, wherein the face verification module is used for comparing the acquired face of a verified person and the face on an identity card and judging whether to be matched; and the lip language recognition and verification module is used for prompting the verified person to read a randomly-provided number combination after the face verification module passes the verification and judging whether the outer lip contour action of the verified person in a photographed area is matched with the outer lip contour action for reading the number combination, a living body is decided in the case of matching, and the identity authentication is passed. The problem that a bad person uses a photo and a video for cheating is overcome, an identity authentication function with a person and an identity card combined can be realized, the high-precision face recognition and living body detection function can be achieved, and the system has the advantages of good detection effects, high accuracy and quick detection speed, and is used for self-service identity authentication.

The invention discloses a deposited water defect damage detection method and system for the inner part of a composite material based on microwave excitation. The method mainly comprises the following steps: recording surface infrared radiation of a region to be detected and a change process of a temperature field of the region by adopting a thermal infrared imager (5); analyzing a temperature abnormal region by adopting a microwave excitation selective action principle, and displaying the position and the size of the temperature abnormal region and the change of a temperature difference of a peripheral temperature normal region; and outputting a judging result of the existence of deposited water defects and degrees in the inner part of the composite material, wherein according to the microwave excitation selective action principle, the microwave excitation only has effects on deposited water in a non-conductive composite material, the deposited water can be determined when a high-temperature region exists and other defects do not exist. The method has high detection sensitivity and the result is accurate and reliable; and the operation is convenient and the checking time is short.

The present invention belongs to the aerial vehicle positioning, tracking and identification technical field and relates to a passive positioning and identification system for civil unmanned aerial vehicles. The system is composed of three parts, namely, a passive radar, a signal detection and receiving part and a fusion processing part. According to the passive positioning and identification system for the civil unmanned aerial vehicles of the present invention, the passive radar is adopted to detect and position an unmanned aerial vehicle at a low altitude and a low velocity; since the passive radar has a good capability of detecting small targets at low altitudes and low velocities, and therefore, a good unmanned aerial vehicle detection effect can be realized; since the characteristicsof different types of unmanned aerial vehicle remote control and telemetry signals have large differences, so that an unmanned aerial vehicle remote control and telemetry signal detection and receiving analysis method can be adopted to identify unmanned aerial vehicles; the passive radar is adopted to guide the system of remote control and telemetry signal detection and receiving, and therefore,a signal detection and receiving acting distance can be prolonged, and the complexity and cost of signal detection and receiving can be improved; and during work, the entire system does not need to radiate out signals, and therefore, the system is free of electromagnetic pollution and environmentally friendly.

The invention belongs to the technical field of network security, and particularly relates to an Android malicious software detection method and device based on a capsule network, and the method comprises the steps: collecting an Android software file sample, decompressing a to-be-processed file, converting the to-be-processed file into an RGB three-channel color image, and enabling the RGB three-channel color image to serve as training sample data; constructing a capsule network, and training the capsule network by using the sample data to obtain a trained network model containing a graph structure and network parameters, the capsule network realizing transmission between feature vectors in a capsule layer through an iterative dynamic routing algorithm; and inputting the to-be-detected target file into the trained capsule network model for testing, and judging whether the to-be-detected target file is a malicious software file or not through an output result. The method and device canefficiently run on the Android operation platform, occupy few resources, are high in efficiency and accuracy, can realize high-accuracy classification detection tasks even under the condition of small-scale training samples, and achieve the purpose of protecting the Android intelligent mobile terminal.

The invention relates to a method for detecting changes in the surrounding environment of a water body based on the forward and backward heterogeneity of remote sensing images. According to the invention, an SLIC (Simple Linear Iterative Cluster) multi-scale segmentation result of superimposed images is relatively uniform, nearly square ground feature objects can be obtained in regions such as water bodies and vegetation with uniform ground feature distribution, boundary information of ground features in the images are not damaged when regions with complicated ground feature distribution are processed, and the ground feature objects are not be too fragmented, thereby being more in line with true ground feature distribution. In addition, problems are detected through analyzing changes in the surrounding environment of the water body, and a hybrid feature space is built by organically combining spectrum, texture and index features. The method has good effects on processing of pseudo-change information, which shows that the method has good detection effects for pseudo-change information such as water quality changes and vegetation phenological changes.

An unmanned aerial vehicle flight data abnormity detecting method based on LSTM relates to the field of unmanned aerial vehicle detection and system health management. The method aims to settle problems of relatively complicated functions generated in a working process of an unmanned aerial vehicle system and incapability of satisfying a relatively high fitting precision requirement by the approaching capability in performing abnormity detection on flight data of the unmanned aerial vehicle. The method comprises the steps of reconstructing an unmanned aerial vehicle remote measurement data phase space, obtaining an input vector and an output vector, obtaining a training sample set and a testing sample set, building an LSTM basic predication model by means of a TensorFlow deep learning opensource framework and performing parameter optimization, obtaining an optimal LSTM model and furthermore calculating an LSTM predication result; afterwards performing abnormal point detection and abnormal sequence detection, and finally finishing unmanned aerial vehicle flight data abnormity detection.

The invention discloses a pair of force measuring shoes that is used for human zero moment point measurement and relates to the technical fields of robots and sensors, in particular to the technical field of the force measuring shoes that are used for the human zero moment point measurement and the measurement of parameters such as pelma-distributed positive pressure and friction in the human walking process. A pair of force measuring shoes comprises two shoe bodies with a plurality of hobnail-typed sensors arranged under each shoe body, and is characterized in that the hobnail-typed sensor comprises an elastic body, a circuit board and a baseboard, the elastic body is connected with the baseboard, the baseboard is connected with the shoe body, and the circuit board is arranged inside the elastic body. The invention realizes the force measuring shoes that have simple structure, good detecting effect and wide application range, is used for the human zero moment point measurement, can satisfy the walking requirements under different road conditions, and does not affect normal human walking.

The invention provides an auxiliary inspection car device for secondary lining quality. The auxiliary inspection car device comprises a car frame, a movable supporting pipe and an antenna, wherein the movable supporting pipe is fixed to the top of the car frame, and the antenna is fixed to the top of the movable supporting pipe. The movable supporting pipe comprises multiple articulated mechanisms, a diagonal bracing mechanism, a fine adjustment structure, a sleeve structure and a damping mechanism, wherein the diagonal bracing mechanism and the fine adjustment structure limit the relative movement angle between an upper articulation piece and a lower articulation piece, the sleeve structure enables the antenna to stretch and contract in the vertical direction, and the damping mechanism is in the horizontal direction and the vertical direction. The auxiliary inspection car device for secondary lining quality can continuously and accurately inspect secondary lining at the arch waist position and the arch crown position of a tunnel, is good in inspection effect, can achieve the purposes of cost reduction, continuous inspection and reduction of the number of matching personnel, and optimizes quality inspection of secondary lining of highway tunnels.

The invention discloses an android malicious code detection system and method based on Opcode backtracking. The method includes the steps that firstly, a rule base is established, and detection strategies are customized by the rule base according to an object to be detected; an API called initially is placed in a queue as a name to be matched; the name to be matched is read from the queue, and names of functions called by all Opcode instructions are obtained by using a dex analysis and Opcode disassembling module; the names of the called functions are contrasted with the name to be matched, the name of the function where the successfully matched Opcode instruction belongs is placed in the queue as a name to be matched, the operations are repeated until the queue is empty, whether a called relational tree conforms to detection rules customized in the rule base or not is analyzed and judged on the basis of the rule base, and if yes, the relational tree is a malicious sample; otherwise the relational tree is safe. According to the Android malicious mode detection system and method based on Opcode backtracking, the problems of false alarm and alarm failure in an existing malicious code detection method can be well solved.

The invention discloses an aluminum alloy multilayer composite plate bolt hole crack defect in-service electromagnetic detection device, which comprises a sensor frame, a steel ring, a detecting coil, a coil winding frame, a sensor head cover, and a sensor output end interface. The device provided in the invention adopts a ferromagnetic metal shielding ring method, and effectively shields and eliminates the interference of a bolt hexagon head. The detection effect is good, and the speed is fast. If double or more detecting coils are designed, the efficiency can be further improved. The device does not have high experience requirements on the detection staff. And most importantly, without the influence of an interference signal, the device can well display a defect signal and give an alarm, thus really avoiding omission detection.

The invention discloses a dynamic pedestrian detection method of lidar in the technical field of road traffic safety. The method specifically includes the following steps: S1, lidar installation; S2,radar coordinate system setting; S3, lidar data clustering; S4, feature extraction; S5, feature classification; and S6, pedestrian sample collection. The method carries out clustering algorithm analysis for obstacles of laser detection, forms a feature set, has good precision and robustness for pedestrian detection, can detect a single person, can also accurately detect pedestrian targets for non-motorized vehicles and pedestrians moving side by side, and has the characteristics of a good detection effect and high detection precision.

The invention relates to an X-ray orientation device for measuring the crystal orientation deviation of a crystal or a crystal orientation position of a crystal bar processing crystal face. The orientation device has the structure that a sample plate is respectively arranged on the bases of two sample platforms of the orientation device; one end of a support plate is connected with the sample plate, a bearing trolley capable of supporting is installed at the bottom of the other end of the support plate; a T-shaped gib capable of moving backwards and frontwards is installed in a guide rail and is fixed on the support plate; the T-shaped gib is respectively connected with a lower layer plate and a bottom plate of the two sample platforms; the upper layer plate of the right sample platform is connected with the lower layer plate by a rotation axis; the upper layer plate is provided with a trolley group, a triangular thimble is connected with the sample plate, a movable sheath is connected with the triangular thimble, a spring is connected to the movable sheath, and two columns on the left sample platform are fixed on the bottom plate. In order to achieve the purpose that the crystal bar can be processed through orientation once, a clamping device and an adhering device are additionally designed and are matched in use so that the crystal face has simple orientation of the minimum deviation angle, favorable detection effect and shortened check-submitting cycle.

The invention belongs to the technical field of target detection, and especially relates to a range-spread target detection method based on multichannel sequence statistics under the system of a broadband radar. The method comprises the following steps: (an echo signal received by a radar) comprising N pulses; employing range units from an (M+1)-th one to an (L+M)-th to form a detection window, wherein L represents the length of the detection window, and M represents a set natural number; obtaining accumulation values y1 and N of modulus of echo signal vectors of the first range unit in the detection window; arranging the accumulation values y1 and N of modulus of echo signal vectors of each range unit in the detection window in a descending order; enabling a first value located at the first order after arrangement to be represented by y(1, N); setting a terminate decision length K and Q detection channels; obtaining a detection statistical magnitude of each detection channel; determining a detection threshold value of each detection channel; determining that a target exists if the detection statistical magnitude of each detection channel is greater than or equal to the threshold value of the corresponding detection channel; or else, determining that the target does not exist.

The invention discloses a concatenated speech detection system, which comprises a user login module and a speech comparison module. When user login request information is received, the user login module outputs a text to a user, wherein the text contains N same characters and N is less than or equal to 2; the speech comparison module conducts detection and comparison to a speech given by the user and outputs a concatenated speech recognition signal; and if segments with the same pronunciation are detected in the speech given by the user, the output concatenated speech recognition signal is yes, otherwise, the output concatenated speech recognition signal is no. The invention additionally discloses a concatenated speech detection method. By using the system and the method, concatenated speeches can be accurately detected.

The embodiment of the invention discloses a target area detection method, device and terminal, and a storage medium and belongs to the technical field of computers. The method comprises the followingsteps: determining a plurality of sample regions and classification results; acquiring a classifier, wherein the classifier comprises a plurality of classification nodes arranged in sequence; traininga first classification node in the classifier according to a plurality of sample regions and a classification result of a plurality of sample regions; continuing to train the next classification nodeafter the first classification node is trained until the multiple classification nodes are all trained; when it is determined that the currently tracked image does not contain a target region, usingthe trained classifier to classify at least one region in a second image after the currently tracked image; determining a target region in the second image according to the classification result, without the need of detecting each image, thereby reducing unnecessary calculation amount, improving the accuracy of the classifier and further improving the accuracy of the target region.

The invention relates to a video flame detection method based on fusion of multiple classifiers. The method comprises: firstly, using a color space base on YCbCr to primarily segment a candidate flameregion; then extracting a whole moving feature, a texture feature and a stroboscopic feature of flame from the candidate flame region; respectively inputting the three flame features into four classifiers of a support vector machine, a naive Bayesian, a decision-making tree and a stochastic forest for analysis; finally, providing a detection identification method for fusion of multiple classifiers based on a confidence coefficient function (D-S evidence theory), especially when the same feature is input to different classifiers, output results having conflict. The invention provides a rejection criterion to solve the conflict. The invention can effectively improve reliability and applicability of the video flame detection technology, and has characteristics of high accuracy and low falsealarm rate.

The invention relates to the field of ablation catheters, in particular to an ablation catheter having a pressure detecting function. The far end of the ablation catheter comprises an elastomer and a pressure sensor, wherein the elastomer is of a hollow-out tubular structure and comprises a section A and a section B, the section A is provided with a hollow-out structure having increased elasticity and having the end extending to the section B, and the pressure sensor is arranged at the connected area of the section A and the section B. The invention aims to provide an ablation catheter making pressure detection more accurate and a relevant structure including the ablation catheter.

The invention discloses a low, slow and small target detection method based on FDA-MIMO (Multi-Input Multi-Output) radar. The detection method comprises the following steps of: constructing a multi-input multi-output frequency diversity array to transmit and receive electromagnetic wave signals under a multipath condition; performing discrete sampling on the demodulated received signals to construct an echo observation data matrix which is expressed as a vector form; then introducing a target fluctuation model, and deriving an FDA-MIMO radar low, slow and small target detector by adopting a generalized likelihood ratio test method, so that the detection probability of a target can be effectively improved under a certain false alarm probability; and finally, comparing FDA-MIMO, MIMO and FDAradar detection performances so as to simulation verify that the detection effect of the FDA-MIMO radar is more significant. Through combination of the advantages of the FDA radar and the MIMO radar,the influence of the low-altitude multipath effect on target detection can be effectively suppressed, the performance loss caused by fluctuation of a target RCS can be well overcome, and a large space diversity gain is obtained.

The invention discloses a method for intrusion detection base on negative selection and information gain, which mainly aims to solve the problems of poor effects and instability of the conventional negative selection algorithm (NSA) method. The method is implemented by the following steps of: (1) reading a self-mode set in; (2) performing conversion, normalization and discretization processing on data in the read-in self-mode set; (3) calculating the information gain of characteristics of 41 dimensions of the processed data; (4) selecting the characteristics of former N dimensions with higher information gain values according to calculated information gain value results, forming the self-mode set by using the data in the characteristics of the N dimensions, and training the formed self-mode set to generate a detector set; and (5) detecting the data in a test set by utilizing the generated detector set. The method has the advantages of high accurate detection rate, low rate of false alarm and capability of achieving satisfactory detection effects even with relatively less training data, and can be used for timely identifying abnormal network data and ensuring network security.

The invention discloses an inductive thermal imaging non-destructive testing system based on a novel high-efficiency open magnetic yoke coil structure. Through use of a novel high-efficiency magneticyoke coil for replacing the conventional rectilinear wire coil or circular coil, the radiation intensity of a test specimen in any direction is directly proportional to the cosine of the included angle between an observing direction and the normal line of a radiating surface, namely radiation of the test specimen in the normal direction of the radiating surface is the strongest; in addition, a uniform eddy current field is sensed in the test specimen, and a visual field is provided for an infrared thermal imager to acquire thermal field information in the test specimen.

The invention provides an in-situ hybridization probe and a method for identifying a barley chromosome set by adopting the in-situ hybridization probe. The in-situ hybridization probe Oligo-442A01 can be used for marking the barley chromosome, wherein the nucleotide sequence of the in-situ hybridization probe Oligo-442A01 is shown as SEQ ID NO.3, and the nucleotide is subjected to fluorescence labeling, so that the probe is constructed. A probe assembly composed of the probe and (AGG)5 can be used for effectively identifying the barley chromosome set under the condition that chromosome denaturation is not needed, and the method belongs to a good probe assembly method for identifying and distinguishing the barley chromosome set. The probe and the method provided by the invention can be used for accurately marking and identifying the barley chromosome set, have good effects for analyzing the morphology and the behavior of the barley chromosome, and have a good application prospect in the fields of barley molecular cytology and chromosome engineering breeding.

The invention provides a carrier communication module detection device and a carrier communication module detection method. The technical problem that the overall detection cannot be realized in the prior art is solved. The device comprises a multi-way network test cabinet. The multi-way network test cabinet is connected with a concentrator communication cabinet. The concentrator communication cabinet comprises a concentrator. The concentrator communication cabinet is connected with a plurality of carrier meter communication cabinets which are connected in sequence. The carrier meter communication cabinets are connected with a carrier meter set. The carrier meter set comprises a plurality of carrier meters which are connected in series in sequence. The concentrator communication cabinet and the carrier meter communication cabinets are respectively connected with respective spectral instruments. Each carrier meter communication cabinet comprises a second attenuator. The second attenuator in a next carrier meter communication cabinet is connected with a previous carrier meter communication cabinet. The second attenuator in the front-most carrier table communication cabinet is connected with the concentrator communication cabinet. According to the invention, to-be-tested carrier communication meter reading equipment is arranged in the whole system, so that the overall use effect of the carrier communication meter reading equipment can be detected.

The invention provides a periodic signal enhancement detection device and method. The detection device comprises a signal receiving and preprocessing module, a power amplifier, a vibration exciter, a three-steady cantilever beam physical device, a laser displacement sensor, an acceleration sensor and an oscilloscope, wherein an output interface of the signal receiving and preprocessing module is connected with an input interface of the power amplifier; an output interface of the power amplifier is connected with an input interface of the vibration exciter; the three-steady cantilever beam physical device is connected with the working platform of the vibration exciter through bolts; the laser displacement sensor is arranged on a proper stand so as to ensure that a laser beam is aligned with the free vibration end of a cantilever beam in the three-steady cantilever beam physical device; the acceleration sensor is connected onto the three-steady cantilever beam physical device through bolts; output interfaces of the laser displacement sensor and the acceleration sensor are respectively connected onto two different input channels of the oscilloscope. The detection device and method have the advantages of being simple in principle, physical in realization, good in detection effect, strong in universality and the like.

The invention belongs to the technical field of computer software and discloses a citrus surface defect detecting method based on surface fitting correction and a computer program. The method comprises the steps of image acquisition, background removal, mask extraction, citrus image extraction, surface fitting, abnormal point removal, surface fitting once again, image correction, and defect extraction. The method and the computer program in the invention aim at the effects of fruit shape, illumination, and the like on the gray scale of a defect region on the irregular globoid citrus surface and the complex situations of being intersected with brightness of a normal region and being discontinuous, fully consider the change of surface shape of the fruit and adaptively complete image gray scale regression and correction; and the citrus surface defects can be detected by adopting a global threshold segmentation method. The method in the invention is simple and practical, and has application prospects in machine vision detection of surface defects of citrus and other globoid fruits.

The invention relates to the field of information processing technology and sensing signal processing and more particularly to a broadband background noise and voice separation detection system. The system comprises a current frame time-domain energy calculation circuit, a background noise calculation circuit, a time-domain voice detection long-and-short-time average energy comparison circuit, a frequency-domain voice detection length time-frequency-domain energy comparison circuit, a background noise comparison circuit, a sub-band energy distribution uniformity voice detection circuit, and a voice frame number counting circuit. The invention also discloses a broadband background noise and voice separation detection method. The system and the method use a three-level voice detection means, has a very good detection effect on high-low-frequency background noise, and has a very good detection effect on the noise of the accidental intermittent line, and greatly improves the accuracy of voice detection in the complicated noise environment.

The invention discloses an information entropy-based multi-radar hybrid detection method. The method includes the following steps that: S1, square-law detection is performed on multi-channel echoes formed by a plurality of radars, so that post-detection signals can be obtained; S2, square-law detection is performed according to the post-detection signals, so that a first detection result can be obtained, information entropy detection is performed on the post-detection signals, so that a second detection result can be obtained; and S3, whether a target exists is judged based on the first detection result and the second detection result. According to the information entropy-based multi-radar hybrid detection method of the invention, the information entropy detection and the square-law detection are combined together, and therefore, targets can be well detected under the SNR (signal noise ratio) differences of different channels, and multi-radar target detection performance can be greatly improved.

The invention discloses a anti-procalcitonin high-affinity nano antibody. The nano antibody has three unique complementary determining regions CDR1, CDR2 and CDR3. The invention further provides an expression vector containing the variable region coding sequence of the nano antibody, and a host cell containing the expression vector. The invention further provides a fusion protein of the nano antibody variable region and alkaline phosphatase, the application of the nano antibody in preparation of a procalcitonin detection kit, a method for carrying out procalcitonin immunodetection by using thenano antibody, and a corresponding detection kit. The anti-procalcitonin nano antibody provided by the invention has specific recognition and binding capacity on procalcitonin. The affinity of the nano antibody can reach 3.773 E to 9. The nano antibody has a unique antigenic determinant recognition site, and can acquire an excellent detection effect in procalcitonin detection, and especially in adouble-antibody sandwich method.

The invention, which belongs to the field of soil detection, in particular relates to an intelligent soil detection device, thereby solving problems that the existing soil detection does not have timeliness and soil with different depths cannot be detected through one-time drilling. The detection device comprises a fixed frame with an inverted U-shaped cross section, pedals are installed on the outer side walls of the two sides of the bottom end of the fixed frame. Fixing blocks are welded to the inner walls of the two sides of the bottom end of the fixed frame. Threaded rods are rotationallyconnected between the fixing blocks and the side walls of the top ends of the fixed frame; each threaded rod is in threaded connection with a movable block; a fixed ring is welded between the two movable blocks; a vertically-arranged drill rod is fixed to the fixed ring, a vertically-arranged through hole is formed in the side wall of the drill rod, and a vertically-arranged rotating rod is rotatably connected into the through hole. The device is convenient to use, capable of achieving detection of soil of three different depths under the ground at a time and good in detection effect.