57results about How to "Detection helps" patented technology

The invention relates to a method for assisting object detection through semantic segmentation. The method comprises the following steps: selecting a trunk network, and setting parameters: semantic segmentation and object detection share the trunk network; designing a spatial information feedback module: fusing the output characteristics of the two modules Block 4' and Block 5' after the semanticsegmentation branch with the output characteristics of the object detection branches Block 4 and Block 5, and feeding the output characteristics of the semantic segmentation branch back to the objectdetection branch to enhance the characteristics of the object detection; design of global attention mechanism module; and designing a semantic segmentation auxiliary object detection structure based on the selected backbone network and the designed spatial information feedback module and global attention mechanism module.

The invention provides a zero-speed correction method based on sole pressure detection in pedestrian navigation. Static sections are judged through the combination of the sole pressure value, the acceleration value and the angular speed value during motion, the speed values in the static sections serve as quantities of a Kalman filter to be measured, and error parameters are estimated and speed, position and posture errors are corrected through Kalman filtering. By setting multiple static section threshold values and judgment conditions, the accuracy of detecting the static sections is improved, detection of the static sections under high dynamic is promoted, meanwhile, the errors are corrected through the Kalman filter, and the positioning precision of pedestrian navigation is improved.

The invention discloses an arbitrary-scale high-resolution image small target detection method. The method comprises the following steps: obtaining a marked and cleaned target data set, and dividing the target data set into a training set and a test set; calculating a preset anchor box for the data set through an optimization clustering algorithm; designing a convolutional neural network, obtaining a feature map through feature extraction, adding patches to the prediction network to enable the feature map obtained through up-sampling and the feature map corresponding to the feature extractionlayer to be consistent in dimension, and performing multi-scale detection on the feature maps of different scales; training the data set by using a convolutional neural network, and obtaining a neuralnetwork model with small target detection capability after the performance evaluation indexes converge; and detecting the test data set to obtain a target category and position coordinates. The method is suitable for the image input network of any size, avoids the loss of small target features on the feature map after being reduced to the fixed-size input network or the loss of edge target context information caused by image cutting, facilitates the detection of a small target of a high-resolution image, and is wide in applicability.

A method for screening and prognosis-estimating lung cancer includes catching lung cancer protein set in external biological sample by utilizing means of using magnetic bead to support substrate, using magnetic separator to separate magnetic bead and sample then using mass spectrography to carry out analysis. The mass spectrum kit used for screening and prognosis-estimating lung cancer is also disclosed.

The invention relates to a vibrio cholerae typing and virulence gene detection kit and a vibrio cholerae typing and virulence gene detection method. The kit comprises DNA extracting solution, PCR reaction solution, a Taq enzyme system, a positive quality control product and a negative quality control product, wherein the PCR reaction solution consists of PCR reaction buffer, four pairs of forward and reverse primers for the specificity of vibrio cholerae and four probes for the specificity of the vibrio cholerae; the primers and probes are designed according to the specificity conservative areas of nucleic acid sequences of a hemolysin gene, an O-antigen gene of O139 type vibrio cholerae, the O-antigen gene of O1 type vibrio cholerae and the virulence gene of cholera toxin (CTX). The detection kit and the detection method ensure a reliable and stable result, are easy and fast to operate and can realize the typing of the vibrio cholerae and fast judgment about whether the vibrio cholerae has a virulence gene or not, thereby facilitating the tracing and detection of the public health-related events caused by the vibrio cholerae and facilitating the routine monitoring of the vibrio cholerae.

The invention discloses a current detection circuit of a switch power supply and a switch power supply, relating to the current detection technology field. The current detection circuit of the switch power supply comprises a first current mutual inductor, a second current mutual inductor, a sampling resistor and a control system; the second current mutual inductor converts second current which is transmitted from the secondary of a transformer TX1 to an upper side diode to small current which is then supplied to a sampling resistor; the second current mutual inductor converts second current which is transmitted from the secondary of a transformer to an upper side diode to small current which is then supplied to the sampling resistor; and the control system obtain voltage on two ends of the sampling resistor which is converted to corresponding current. Through the clever choice of the current detection point, the current mutual inductor can be used to participate in current detection, the current mutual inductor can convert big current to the small current, and the small current can be supplied to the sampling resistor, which greatly reduce the loss of the sampling resistor, reduces the cost, and improves the precision and design difficulty. Besides, the switch power supply can realize the detection of the charging current, which can benefit the control of the charging current.

The invention discloses a hyperspectral target detection method and a system based on a feedback abundance constraint, a storage medium and a processor. The method is characterized by calculating a spectral characteristic d of a target ground object and an autocorrelation matrix R; calculating abundance information f(ri) corresponding to each pixel ri in a hyperspectral image; extracting a space characteristic ff(ri) of the target ground object, feeding the extracted ff(ri) back to and fusing to the spectral characteristic of the hyperspectral image and updating; carrying out linear normalization processing on the abundance information f(ri) and defining a spectral autocorrelation matrix as R'; carrying out target ground object detection so as to acquire target ground object abundance information fc(ri); and carrying out binarization processing so as to acquire the target ground object to be detected. In the invention, when an autocorrelation matrix is used to restrain the pixel, an influence of a foreign matter cospectrum phenomenon can be reduced, which is good for detection of the target ground object; simultaneously, space information is integrated into the spectral characteristic so as to increase detection precision and solve a problem in the prior art.

The embodiment of the invention discloses a face detection method and device. The method comprises: determining a human face candidate area in the to-be-detected image according to a human face detection model comprising a multi-layer convolutional network, determining that the face candidate area is a corresponding small-scale face according to the size parameters of the face candidate area; facedetection is carried out on the face candidate area through a first detection model; performing face detection on a face candidate region; obtaining projection characteristics of the face candidate area on a characteristic pattern output by at least two layers of convolutional networks in the face detection model, fusing the projection feature of the first convolutional network and the projectionfeature of the second network to obtain a fusion feature. Compared with the prior art, the method has the advantages that the feature resolution ratio is high, more semantic information is carried, the small-scale face can be detected easily, and therefore when the fusion feature serves as the projection feature of the first convolutional network and face detection is conducted on the face candidate area according to the projection features of at least two layers of convolutional networks, the detection precision of the small-scale face can be improved.

The invention provides a method, a kit and an oligonucleotide for detecting relative expression of the MLL5 gene in a sample, and all relate to an upstream primer MLL5-F for detection, an upstream primer MLL5-R for detection and a probe MLL5-Probe for detection, and an upstream primer ABL-F for the internal reference gene ABL, a downstream primer ABL-R and a probe ABL-Probe. The relative expression of the MLL5 gene in clinical samples can be rapidly detected. The invention can be applied to evaluation of therapeutic effect and prediction of prognosis.

The invention relates to a magnetic bead supporting substrate method for capturing cervical cancer proteome in biological sample in vitro, which uses magnetic separator to separate magnetic bead and sample, without centrifugation of samples. Then fingerprint technique is used to analyze protein with mass spectrometry method. The invention can be used in kits for testing squamous cell carcinoma negative antigen cervical cancer sample and normal person in vitro and for protein fingerprint or mass spectrometry polypeptide mapping of prognosis. The method is accurate, convenient and fast.

The invention discloses a preparation method for a porous boron-doped diamond composite electrode with a bimetallic synergistic effect and application of the porous boron-doped diamond composite electrode in detection of glucose, relates to a preparation method and application for the porous boron-doped diamond composite electrode and aims at solving the problems that the method of preparing the porous boron-doped diamond composite electrode does not exist at present, and the glucose detection sensitivity by utilizing a boron-doped diamond electrode nonenzymatic glucose sensor is relatively low at present. The preparation method comprises the following steps of 1, preparation of a boron-doped diamond film; and 2, sputtering coating and annealing treatment. The application is used for detecting glucose. The invention is used for preparing the porous boron-doped diamond composite electrode with the double-metal synergistic effect and the application of the porous boron-doped diamond composite electrode in detection of the glucose.

The invention discloses a pesticide residue detection and traceability analyzer, which includes an analyzer main body. The analyzer main body is composed of a casing arranged on the side of the analyzer main body, an internal microcomputer and a base at the bottom of the analyzer main body. The analyzer for residue detection and traceability has improved the disadvantages of the original product such as complex internal structure, inaccurate detection results, and excessive volume. This new pesticide residue detection and traceability analyzer has the characteristics of simple internal structure, accurate detection results and small volume. The interior of the product is only composed of a microcomputer, a built-in thermal printer, a detection and analysis room and a cooling fan, which realizes a simple internal structure, and the device is small in size and light in weight, which is convenient for the staff to move and install. The stirring rod improves the detection accuracy of the analyzer, brings great help to people, and also makes this product more widely used in the market.

The invention discloses a human body sleep signal detecting method, wherein the method includes steps of performing continuous periodic sampling on an output signal of a piezoelectric film sensor, and transforming the sampling data to waveform data; dividing the waveform to be two frequency sections of waveform data by a digital filter, wherein the frequency sections are 0.1-0.5 Hz frequency section and 1-15 Hz frequency section; respectively solving the cycle of the waveform data of two frequency sections; calculating frequencies of two frequency sections of waveform data. The human body sleep signal detecting method provided by the embodiment of the invention is convenient to detect sleep, and includes dynamic and fuzzy signal processing methods; the method solves the difficulty that the existed method cannot exactly acquire the monitoring data set by the non-contact type detecting, and improves the accurate rate of the sleep detecting data.

The invention relates to a proteome acquiring method which utilizes the method of bead supporting stroma to capture the protein group in the biology samples, and utilizes the magnetic separator to separate the bead and the sample without eccentric samples, and then utilizes the matter hidden method to analyze. The type of the protein molecular weight obtained by the analysis is a bar code format (protein fingerprint) which can be read by a computer. The invention provides a meaning which confirms the matter hidden bar code format in a certain sample. The confirmations of the bar code format (protein fingerprint) and the meaning of the bar code belt (molecular weight) adopt the addition and subtraction, namely adding or subtracting a certain matter to confirm the meanings of the mass spectrum molecular weight or the biological sign chart. The method of the invention can be used for the identification of the protein fingerprint of the normal people and patients. The significant meaning of the protein fingerprint altas is that the protein fingerprint altas regularly inspects the dynamic changes of mass spectrum polypeptide chart, protein fingerprint and significant biology sing chart in the human activity or blood. The protein single protein fingerprint and the molecule sequence in the protein fingerprint can be used in the testing method of the reagent box of the body liquid part away from the body. The method is accurate, convenient and quick.

The invention discloses a lesion detection method and device for a lesion image. The method comprises the following steps: extracting a background priori feature map from a preset lesion image according to a preset priori clustering algorithm; obtaining a potential target area in the background prior feature map through an adaptive threshold segmentation algorithm, and calculating normalized coordinates of a potential target center of the potential target area to obtain a center prior feature map; a preset Log-Gabor filter is adopted to perform band-pass filtering processing on the preset lesion image, so that a frequency prior feature map can be obtained; performing feature map fusion processing on the background prior feature map, the center prior feature map and the frequency prior feature map to obtain a fused prior feature map; and adopting a preset image segmentation algorithm to carry out smooth optimization processing on the fused prior feature map to obtain a target lesion detection result. According to the invention, the technical problem of poor detection effect on lesion images with poor image quality, small lesion area and fuzzy boundary in the prior art is solved.

The invention relates to a method of a magnetic bead support matrix used for capturing gastric cancer proteome in an in vitro biological sample, by a magnetic separator separating the magnetic bead and the sample which does not need to be centrifuged. Then, the mass spectrometric method is used for carrying out an analysis of the protein fingerprint technique. The method of the invention can be used in a kit of protein fingerprint or mass spectrum peptide atlas for the in vitro sample detection and the prognosis judgment of normal people and people with negative CEA gastric cancer. The method is accurate, convenient and rapid.

The invention discloses an automatic test system which comprises a test platform; a clamping device arranged on the test platform and used for clamping tested pipes; a detection device arranged on the test platform and used for measuring the tested pipes clamped on the clamping device; and a control device in control connection with the clamping device and the detection device. The control device determines a clamping scheme of the clamping device and adjusts the clamping device according to nodes of the tested pipes to enable the clamping device to clamp the tested pipes, and then, controls the detection device to measure the tested pipe clamped on the clamping device, and judges whether the tested pipe accords with the product requirements according to the measurement result. The invention also discloses an automatic test method adopted in the automatic test system. The beneficial effect of the automatic test system and method are that the pipes in complex space shape structures can be detected accurately, clamping requirements of different pipes can be met, and detection application range is wider.

The present invention relates to a magnetic beads support substrate method to capture colorectal cancer proteome in biology sample using magnetic separator separating magnetic beads and sample without centrifugation sample, and protein fingerprint method analyzed by mass spectrometry. The present invention is suitable for detecting person and CEA negative colorectal cancer and reagent kits of prognosis estimation protein fingerprint or mass spectrometry polypeptide atlas. The method of present invention is accurate, convenient and rapid.

The standard substance kit is a standardization quality-controlled blood serum sampler packaged in tubule. Under -80 deg. C, the pooled serum is taken out and is diluted in U9 buffer solution in 1:2 mixing ratio; saving it at 25 deg. C. A quantification mass spectrographic analysis under the control of standardization quality-controlled O type blood serum is used for test.

The invention belongs to the field of biotechnology detection, and particularly provides a Prader-Willi Syndrome detection kit and a use method thereof. According to the present invention, snO-lncRNA1, snO-lncRNA2, snO-lncRNA3, snO-lncRNA4 and snO-lncRNA5 are extremely highly expressed in human embryonic stem cells, and abnormally stable, so that the detection kit prepared by taking snO-lncRNA1, snO-lncRNA2, snO-lncRNA3, snO-lncRNA4 and snO-lncRNA5 as detection genes can detect samples such as common blood, saliva, urine and the like so as to provide guarantee for realizing non-invasive examination of Prader-Willi Syndrome; the use method is simple to operate and has low requirements on instruments and equipment; the input amount of the required sample is small, and the sample source is highly inclusive; the kit has the characteristics of high sensitivity, high specificity and the like; the detection result is visual, simple and easy to understand; and by using the detection method, Prader-Willi Syndrome can be detected in a short time.

The invention relates to an underground staff detecting instrument and a staff monitoring system based on miner light weak light detection. The detecting instrument is provided with a light detector with high sensitivity, a light detector with low sensitivity, and an electronic control module which is electrically connected with the two light detectors; a comparing unit and a storing unit are arranged in the electronic control module; a preset illumination lower limit value is stored in the storing unit; the comparing unit is used for comparing a practical illumination value detected by the light detector with low sensitivity with the illumination lower limit value; when the practical illumination value detected by the light detector with low sensitivity reaches or exceeds the illumination lower limit value, the electronic control module controls the light detector with high sensitivity to stop working; and the system comprises a plurality of detecting instruments, a plurality of transmission substations and a management master station which are connected and communicated pairwise. According to the underground staff detecting instrument and the staff monitoring system based on miner light weak light detection, detection and alarm for miner light weak light can be realized, and whether people are in a blasting area or not can be judged under the condition without adding personal operation equipment of miners, so that burdens of the miners can be reduced, and the difficulty in managing the equipment is reduced.

The invention provides oligonucleotide and a method for detecting ABCG2 gene relative expression quantity in a sample. According to a double-standard-curve method, quantitative standard curves of a reference gene actin and an ABCG2 target gene are constructed respectively by combining a real-time fluorescence PCR technology with a Tapman probe; and expression of ABCG2 in the body of a testee is detected. According to the invention, accurate detection is realized; the test sensitivity is high; and the operation is simple and convenient. A reference and basis can be provided for formulation of chemotherapy regimens of lung cancer patients and individualized treatment of the patients is facilitated.

The invention discloses a preparation method of a noble metal-doped zinc oxide nanorod glucose sensor. The noble metal-zinc oxide nanocomposite material and glucose oxidase are jointly modified on a glassy carbon electrode to prepare an electrochemical biosensor. The preparation method of the electrochemical glucose biosensor of the present invention comprises the following steps: (1) preparing the zinc oxide nanocomposite material doped with noble metal; (2) dispersing the zinc oxide nanocomposite material doped with noble metal under ultrasound In deionized water, an aqueous solution of noble metal-doped zinc oxide is formed; (3) a pretreated glassy carbon electrode is prepared; (4) an electrochemical glucose biosensor is prepared. The sensor prepared by the invention is simple, fast, low in cost, high in sensitivity, good in reproducibility and stability. Can be used for the detection of glucose concentration.

The invention discloses oligonucleotide, a method and a kit for detecting an NonO-TFE3 fusion gene in a sample. The oligonucleotide comprises upstream and downstream primers and a probe for 1-type NonO-TFE3, upstream and downstream primers and a probe for 2-type NonO-TFE3, and upstream and downstream primers and a probe for beta-actin internal reference genes. The oligonucleotide can quickly detect whether the sample contains the NonO-TFE3 fusion gene and an expression quantity of the fusion gene. A detection result completed by use of the method is accurate and sensitive and can assist in making an individual treatment scheme for an Xp11.2 translocation / TFE3 fusion gene-related kidney cancer patient.

The invention provides a skin image detection device. The skin image detection device comprises a light source part, an amplification objective lens, a first polarizing film and a second polarizing film, Wherein the light source part is arranged behind the first polarizing film and is used for emitting light; Wherein the polarization direction of the first polarizing film is perpendicular to the second polarizing film, the light rays irradiate the surface of the skin through the first polarizing film, and the second polarizing film is used for filtering out the light directly reflected from the surface of the skin; And the amplification objective lens is arranged behind the second polaroid. The invention also provides a skin image analysis system based on the device. Through the skin imagedetection device and the skin image analysis system, a clear original image can be observed without direct contact with the skin, manual squeezing of the skin is reduced, the skin image detection device and the skin image analysis system are particularly suitable for image observation of the head and face part, especially at mucosa of mouth, eyes, nose and the like and sensitive skin, and the visibility of skin lesion is improved.

The invention discloses an electric insulation safety tool performance detection device, which comprises a machine body, a lifting mechanism and a processing device, and is characterized in that the top end of the lifting mechanism is fixedly connected with the top of the inner wall of the machine body, the processing device is arranged at the output end of the lifting mechanism, and the top end of an arc-shaped supporting rod is fixedly connected with the bottom edge of a driving turntable; the clamping testing device is arranged at the bottom end of the arc-shaped supporting rod, the top end of the arc-shaped pressing rod is hinged to the surface of the base body, the pressing head device is arranged at the bottom end of the arc-shaped pressing rod, the curve elastic piece is fixed between the two corresponding sides of the surface of the arc-shaped pressing rod and the surface of the fixing plate, and the testing device is arranged in the center of the bottom of the base body. The invention relates to the technical field of electrical equipment detection. According to the performance detection device for the electric insulation safety tool, the elastic clamping effect is achieved, elastic clamping can be carried out, the device is not prone to being affected by clamping force, then the situation of clamping marks or damage is not prone to occurring, safety and reliability are achieved, and the working efficiency and the use performance are improved.

The present invention relates to RF impedance model based fault detection. A method for detecting latent fault in a plasma system is described. The method comprises accessing models of one or more parts of the plasma system. The method also comprises receiving data relative to providing RF power to a plasma cavity. The RF power is provided by using arrangement comprising one or more status. The method also comprises using the data to generate model data at the model output portion. The method comprises inspecting the model data. The inspection relates to inspecting one or more variables representing performance of the plasma process of the plasma system. The method comprises identifying the faults of the one or more variables. The method also comprises determining a predetermined time period of fault appearance so as to identify the faults as incidents. The method comprises classifying the incidents.

A chip leakage protection system disclosed by the present invention comprises a data storage module, the output end of the data storage module is connected with a PLC control module, the output end of the PLC control module is connected with a comparative analysis module and an alarm module, and the output end of the comparative analysis module is connected with a judgment module. The output end of the judgment module is connected with a power-off tripping module and an alarm module. The current detection module is connected to the input end of the PLC control module, and the output end of the alarm module is connected with an information sending module and a timing module. Compared with an existing device, the chip leakage protection system can execute sound and light alarm processing through the alarm module when data is abnormal, the information sending module can send abnormal conditions to maintenance personnel in time to remind the maintenance personnel to come for maintenance, and the alarm module can give an alarm when the abnormal conditions are overtime and are not processed. And delay of maintenance time caused by the fact that maintenance workers do not receive information is avoided.