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32results about How to "High overlap rate" patented technology

A visual target detection and labeling method

The present invention discloses a visual target detection and labeling method. The method includes: an image inputting step, to input an image to be detected; a candidate region extracting step, to extract a candidate window as the candidate region from the image to be detected using selectively search algorithm; a feature description extracting step, to perform feature description on the candidate region using a pre-trained large-scale convolutional neural network and output the feature description of the candidate region; a visual target predicting step, to predict the candidate region based on the feature description of the candidate region using a pre-trained object detection module, to estimate regions having the visual target; and a position labeling step, to labeling the position of the visual target according to the estimated result. Experiments show that, compared with the mainstream week supervision visual target detection and labeling method, the present invention has a stronger ability to excavate positive samples and a more general application prospect, and is suitable for visual target detection and automatic labeling tasks on the large-scale data set.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI

Method for three-dimensionally segmenting insubstantial pulmonary nodule based on fuzzy membership model

InactiveCN102324109AHigh overlap rateError Volume Percentage LowImage data processingPulmonary noduleMedicine
The invention relates to a method for three-dimensionally segmenting an insubstantial pulmonary nodule based on a fuzzy membership model. The method comprises the following steps of: manually acquiring a region of interest, which includes the insubstantial pulmonary nodule, and performing subsequent processing in the region of interest; removing substantial parts which have larger gray values and comprise blood vessels, calcified points and the like by using threshold operation; establishing the fuzzy membership model of the insubstantial pulmonary nodule, calculating the membership, of each volume pixel, of the insubstantial pulmonary nodule according to the fuzzy membership model, and classifying the volume pixels based on the calculated membership by using a linear discriminant function; and for the insubstantial pulmonary nodule which is connected with the blood vessels, removing the blood vessels by using a Hessian matrix characteristic value, and thus obtaining a final segmentation result by using a three-dimensional connected region mark. Compared with other domestic and foreign methods for segmenting the insubstantial pulmonary nodule in recent years, the method for three-dimensionally segmenting the insubstantial pulmonary nodule based on the fuzzy membership model has the advantage that: the segmentation accuracy of the insubstantial pulmonary nodule is effectively improved.
Owner:UNIV OF SHANGHAI FOR SCI & TECH

Fluorescent probe for detecting hydrogen sulfide and hypochlorous acid in cell lysosomes simultaneously or respectively as well as preparation method and application of fluorescent probe

The invention discloses a fluorescent probe for detecting hydrogen sulfide (H2S) and hypochlorous acid (HClO) in cell lysosomes simultaneously or respectively as well as a preparation method and application of the fluorescent probe, and belongs to the field of analytical chemistry. The molecular formula of the probe disclosed by the invention is C44H43N9O7, and the structural formula of the probe is shown in the formula (I). According to the invention, multiple target molecules (H2S, HClO and H2S / HClO) are simultaneously or respectively detected by a single probe, and different signal responses can be produced for different target molecules. The probe of the invention has the specificity of selecting H2S and HClO, and strong capacity of resisting interference of other molecules. The fluorescent probe disclosed by the invention can be applied to detection of H2S and HClO in a water environment and a cellular level, is a simple, fast and sensitive molecular specificity detection reagent of H2S and HClO and has broad application prospects in the field of biomolecule detection.
Owner:UNIV OF JINAN

Mitochondria target hydrogen peroxide molecular fluorescent probe and preparation method and application thereof

The invention discloses a mitochondria target hydrogen peroxide molecular fluorescent probe and a preparation method and application thereof and belongs to the technical field of analytical chemistry. A molecular structural formula of the probe is shown as the formula I and is short as Mito-H2O2. The preparation method of the probe molecule is simple, achieves quick detection on hydrogen peroxide molecules, is good in selectivity and strong in antijamming capability, can be used for detecting hydrogen peroxide molecules in mitochondria of cells, has the characteristics of being quick, simple and flexible and has wide application prospect in the biological molecular detection field.
Owner:UNIV OF JINAN

Information classification method and device

The invention provides an information classification method and device. The method comprises the following steps of: obtaining a plurality of example feature tags and obtaining a relationship between each example feature tag and a to-be-classified subject directory; carrying out word segmentation on a plurality of to-be-classified sentences so as to obtain a to-be-processed word set; carrying out similar word replacement processing on to-be-processed words to obtain an updated word set; generating a to-be-classified feature tag according to the frequency of a first word combination included in each to-be-classified sentence in the updated word set; calculating a maximum semantic similarity between the to-be-classified feature tag and the plurality of example feature tags, and when the maximum semantic similarity b is greater than or equal to a preset similarity threshold value, taking an example feature tag corresponding to the maximum semantic similarity as a target feature tag of the to-be-classified feature tag; and labelling the to-be-classified sentence corresponding to the to-be-classified feature tag as a subject directory corresponding to the target feature tag. The method and device provided by the invention can be used for enhancing the information classification efficiency.
Owner:SHANGHAI XIAOI ROBOT TECH CO LTD

Image labeling method and device based on multi-model fusion, computer equipment and storage medium

The invention relates to the field of image detection, and the labeling effect is improved by fusing a binary classification result of a classification model based on a DenseNet network and a binary segmentation result of a segmentation model based on a Vnet network and an FPN network. The invention particularly discloses an image labeling method and device based on multi-model fusion, computer equipment and a storage medium. The method comprises the steps of acquiring a to-be-labeled image, and the to-be-labeled image is preprocessed to obtain a plurality of instance images; inputting each instance image into a classification model based on a DenseNet network for binary classification; splicing the binary classification results corresponding to the plurality of instance images to obtain classification result images; inputting each instance image into a segmentation model based on a Vnet network and an FPN network to carry out binarization segmentation; splicing the binarization segmentation results corresponding to the plurality of instance images to obtain a segmentation result image; calculating a binarized fusion image according to the classification result image and the segmentation result image; and extracting the contour of the fused image to mark the region of interest in the to-be-marked image according to the contour.
Owner:PING AN TECH (SHENZHEN) CO LTD

Nitrosyl hydrogen molecular fluorescent probe for mitochondria targeting and preparation method and application thereof

The invention discloses a nitrosyl hydrogen molecular fluorescent probe for mitochondria targeting and a preparation method and application thereof, and belongs to the technical field of analysis chemistry. The probe molecule has the structure formula (I) (please see the formula in the description) and is a first-synthesized fluorescent probe for detecting HNO molecules in cell mitochondria. The synthesis method of the probe is easy, high in yield, simple in post-treatment process. The selective rapid detection of the HNO molecule probe is achieved, selectivity is high, and the capacity of resisting interference of other molecules is high. The probe is a simple, rapid and sensitive HNO molecule specificity detection agent and has wide application prospects in the field of biomolecular detection.
Owner:UNIV OF JINAN

Application of fluorescent probe to hydrogen peroxide molecule detection

The invention discloses application of a fluorescent probe to hydrogen peroxide molecule detection. The fluorescent probe is used for sensing and detecting the content of hydrogen peroxide in a water environment and a cytolysosome by the processes of fluorescent detection, visual quantitative detection and cell imaging detection. The H2O2 molecular probe can realize selective quick detection and is good in selectivity and strong in ability to resist interference of other molecules. Besides, color changes of a solution can be observed with the naked eyes, and the fluorescent color changes can also be observed under a UV lamp, so that the fluorescent probe has a chromophoric sensing function. The probe can be used for detecting hydrogen peroxide in the cytolysosome, and compared with a commercial lysosome dye, the imaging superposition rate of hydrogen peroxide in the lysosome is high, and the co-localization coefficient of two dyes is 0.94.
Owner:UNIV OF JINAN

Vegetation roundabout automation extraction method facing high-resolution remote sensing images

The present invention discloses a vegetation roundabout automation extraction method facing high-resolution remote sensing images. The method comprises four steps: image segmentation facing objects and extraction based on rules, road classification based on a support vector machine, road cavity extraction and detection topology relation of roundabout blocks and cavities. The image segmentation facing objects comprise two steps of segmentation and fusion, the segmentation comprises two modes consisting of edge and intensity, and the edge mode is preferentially selected; and the fusion has two modes consisting of a full [Lambda] mode or a fast [Lambda] mode, and the full [Lambda] mode is preferentially selected. The road classification based on the support vector machine has four functions taken as the alternative of a kernel function, the four functions comprise linearity, polynomial, a radial basis function and an S shape, and the radial basis function is preferentially selected. The vegetation roundabout automation extraction method facing high-resolution remote sensing images can effectively extract roundabouts comprising vegetation, and is high in accuracy, high in adaptability and automatic, and does not depend on other auxiliary data, etc.
Owner:WUHAN UNIV

Social network information propagation method based on forgetting law

The invention relates to a social network information propagation method based on a forgetting law in order to solving the problems that in the prior art, the fact that the influence continuously reduced along with time is not taken into account, and the different responses generated when people receives information at the first time and receives information after the first time are not taken into account. The method comprises the specific steps that 1, an initial activating node set S is set; 2, an activated-state node activates a nonactivated-state neighbor node v at tx; 3, if the nonactivated-state neighbor node v is successfully activated, the nonactivated-state neighbor node v is converted to be in an activated state at tx+1 and tries to activate a nonactivated node x adjacent to the nonactivated-state neighbor node v, and otherwise the nonactivated-state neighbor node v does not change; 4, the step 2 and the step 3 are repeatedly conducted until no non-diffused activated node exists, and then the propagation process is finished. The method is applied to the field of network information propagation.
Owner:HARBIN ENG UNIV

Naphthalimide-rhodamine-based compound and application thereof

The invention discloses a naphthalimide-rhodamine-based compound. The compound is represented by general formula (I) shown in the description, and all substituent groups in the formula (I) are as defined in the description. The invention also discloses a detection composition and a detection kit of the naphthalimide-rhodamine-based compound, and a use of the detection composition or the detectionkit in the detection of mercury ions in a water environment and a biological cell system as a fluorescent probe for lysosomal targeted detection of mercury ions. The compound realizes the rapid detection of mercury ions by the fluorescent probe, has a good selectivity, and is a fluorescent probe having a chromogenic sensing function.
Owner:EAST CHINA UNIV OF SCI & TECH

Light emitting diode with nitrogen polar surface n-type electron blocking layer

The invention discloses a light emitting diode with a nitrogen polar surface n-type electron barrier layer. The light emitting diode comprises a substrate, a nitrogen polar nitride layer, a polarity reversal nitride layer, an n-type nitride ohmic contact layer, the n-type nitrogen polar surface electron barrier layer, a non-doped superlattice structure layer, a multi-quantum well active layer and a p-type nitride ohmic contact layer distributed from bottom to top in sequence; and an n-type electrode and a p-type electrode are respectively arranged on the n-type nitride ohmic contact layer and the p-type nitride ohmic contact layer. The nitrogen polar surface n-type electron blocking layer can limit spatially the number of electrons entering an active region; and since a traditional p-type doped electron barrier layer is removed, the injection rate of the holes can be increased, the number of the holes and the number of the electrons injected into the active region are kept at a balanced level, and the probability of electron and hole radiation recombination luminescence in the active region can be improved, so that the performance of the light emitting diode is improved.
Owner:SOUTHEAST UNIV

Order grouping processing method for personalized customized furniture

The invention belongs to the technical field of furniture processing and system planning, and particularly relates to an order grouping processing method for personalized customized furniture. According to the multi-order personalized customized furniture production system, the order classification and gathering, part marking, part clustering and grouping, part sorting according to orders and part packaging according to orders are carried out in sequence, and the purpose that multi-order personalized customized furniture can be integrally and efficiently machined and produced is achieved. The method has the following advantages that 1, order products are divided into parts, the parts are produced in groups according to a plurality of division standards, and it is guaranteed that when the parts in the same group are produced, the stack cutting rate is high, the raw material plate utilization rate is high, and the overall production efficiency is high; 2, the processing cycles of the groups are reasonably matched, and the whole processing cycle of all orders is shortened; and 3, the overall planning of part grouping processing is reasonable and efficient, the subsequent sorting and packaging operation is simple and convenient, and finally finished orders are low in cost, high in quality and short in delivery time.
Owner:DEHUA TB NEW DECORATION MATERIAL CO LTD +1

Well drilling method for horizontal well

The invention provides a well drilling method for a horizontal well. The well drilling method for the horizontal well includes the following steps that S1, a magnetic declination value and a well track deviation value are detected; S2, the influence of the magnetic declination value on a well track deviation value signal is eliminated through a measure while drilling (MWD) system, and a return track of a drill bit is obtained; S3, a well drilling direction of the drill bit is corrected according to the return track of the drill bit; and S4, well drilling continues through the drill bit. The errors caused by magnetic declination are eliminated and the drilling direction of the drill bit is corrected repeatedly, so that the good coinciding rate of a well drilling track and a preset track is achieved.
Owner:PETROCHINA CO LTD

A method for adaptively extracting an MR image of a cervical tumor

The invention relates to the technical field of medical image processing, and provides a method for adaptively extracting an MR image of a cervical tumor, and the method comprises the steps: 1, carrying out the anisotropic filtering of an original MR image, eliminating noise, and keeping the edge of a tumor; Step 2, for the filtered MR image, setting a proportionality coefficient in combination with the numerical relationship between the average gray scale of each image and the average gray scale of the tumor, and improving a traditional adaptive region growth method to obtain a roughly segmented tumor region image; And step 3, performing fine segmentation on the tumor region by using morphological operation to enable the current region to be communicated and smooth the edge. According tothe method, an improved adaptive region growth method is utilized, the coincidence rate of an obtained segmentation result and a tumor region gold standard manually drawn by a doctor is high, the complexity of manually setting a threshold value is avoided, the artificial participation degree is reduced, artificial subjective deviation is reduced, universality is achieved, and a reasonable reference is provided for clinical diagnosis.
Owner:NORTHEASTERN UNIV

Steel bar mechanical connecting device

The invention provides a reinforcing steel bar mechanical connecting device which is used for connecting a first reinforcing steel bar and a second reinforcing steel bar which are oppositely arranged, a lengthened reinforcing steel bar wire head is machined at the end of the first reinforcing steel bar, and a reinforcing steel bar wire head is machined at the end of the second reinforcing steel bar. The reinforcing steel bar mechanical connecting device comprises a threaded sleeve and a connecting sleeve, an internal thread of the threaded sleeve and a reinforcing steel bar wire head of a second reinforcing steel bar can form second threaded connection, and an internal thread at one end of the connecting sleeve and a lengthened reinforcing steel bar wire head of a first reinforcing steel bar can form first threaded connection. The internal thread at the other end of the connecting sleeve can form third threaded connection with the external thread of the threaded sleeve; a protruding shoulder is formed at the end, close to the second steel bar, of the threaded sleeve. According to the invention, a larger thread pair axial adjusting gap is formed by three pairs of matched threads, so that the probability of superposition of spiral tracks is greatly improved, and the connection of reinforcing steel bars becomes very convenient and rapid.
Owner:CENT RES INST OF BUILDING & CONSTR CO LTD MCC GRP +1

Method for three-dimensionally segmenting insubstantial pulmonary nodule based on fuzzy membership model

InactiveCN102324109BHigh overlap rateError Volume Percentage LowImage data processingPulmonary noduleMedicine
The invention relates to a method for three-dimensionally segmenting an insubstantial pulmonary nodule based on a fuzzy membership model. The method comprises the following steps of: manually acquiring a region of interest, which includes the insubstantial pulmonary nodule, and performing subsequent processing in the region of interest; removing substantial parts which have larger gray values and comprise blood vessels, calcified points and the like by using threshold operation; establishing the fuzzy membership model of the insubstantial pulmonary nodule, calculating the membership, of each volume pixel, of the insubstantial pulmonary nodule according to the fuzzy membership model, and classifying the volume pixels based on the calculated membership by using a linear discriminant function; and for the insubstantial pulmonary nodule which is connected with the blood vessels, removing the blood vessels by using a Hessian matrix characteristic value, and thus obtaining a final segmentation result by using a three-dimensional connected region mark. Compared with other domestic and foreign methods for segmenting the insubstantial pulmonary nodule in recent years, the method for three-dimensionally segmenting the insubstantial pulmonary nodule based on the fuzzy membership model has the advantage that: the segmentation accuracy of the insubstantial pulmonary nodule is effectively improved.
Owner:UNIV OF SHANGHAI FOR SCI & TECH

Application of a Fluorescent Probe in the Detection of Molecular Hydrogen Peroxide

The invention discloses the application of a fluorescent probe in the detection of hydrogen peroxide molecules. The fluorescent probe is used for sensing and detecting the content of hydrogen peroxide in the water environment and cell lysosomes; the sensing detection includes Fluorescence detection, visual qualitative detection, cell imaging detection. The invention realizes the selective and rapid detection of the H2O2 molecular probe, and has good selectivity and strong anti-interference ability of other molecules. In addition, the change of the color of the solution can be observed with the naked eye, and the change of the fluorescent color can also be observed under the ultraviolet light. It is a fluorescent probe with a color sensing function. This probe can be applied to the detection of hydrogen peroxide in intracellular lysosomes. Compared with commercial lysosomal dyes, it has a high overlap rate for imaging hydrogen peroxide in lysosomes, and the co-localization of the two dyes The coefficient is 0.94.
Owner:UNIV OF JINAN

A lysosome-targeted hypochlorous acid molecular fluorescent probe and its preparation method and application

The invention discloses a lysosome targeted fluorescence probe for detecting hypochlorous acid molecules, as well as a preparation method and application thereof, and belongs to the technical field of analytical chemistry. The molecular formula of the fluorescence probe is C37H35N5O5S, with a structure represented by formula I shown in the description. The synthesis of the probe includes four steps, and the after-treatment process is relatively simple; the selective quick detection of the hypochlorous acid molecule probe is achieved, the selectivity is good, and the capability of resisting interference from other molecules is strong; in addition, the change in color of the solution can be observed with the naked eyes, and the change in fluorescence color can also be observed under an ultra-violet lamp, therefore, the fluorescence probe for detecting hypochlorous acid molecules is one with the chromogenic sensing function, can be applied to detection of hypochlorous acid in lysosome in the cells of the biological system, and can be used as a probe for detecting hypochlorous acid in lysosome in the cells. The lysosome targeted fluorescence probe for detecting hypochlorous acid molecules, provided by the invention, is a simple, quick and sensitive reagent for detecting the hypochlorous acid molecules, and has a wide application prospect in the field of biomolecule detection.
Owner:UNIV OF JINAN

Traffic sign recognition model training method based on YOLOv4 and system

PendingCN113505724AEasy to detectAlleviate the problem of unbalanced data distributionCharacter and pattern recognitionNeural architecturesTraffic sign recognitionData set
The invention provides a traffic sign recognition model training method based on YOLOv4, and the method comprises the following steps: obtaining a traffic sign data set, and dividing the traffic sign data set into a training set and a test set; obtaining a YOLOv4 network structure, and replacing a BiFPN network with a PANet path aggregation network of a backbone network in the YOLOv4 network structure to generate a target training model; and training the target training model through the training set, and testing the trained target training model through the test set to generate the traffic sign recognition model. The backbone network has a better detection effect, the problem of unbalanced data distribution is relieved, and the feature extraction capability of the network is enhanced.
Owner:SHANGHAI INST OF TECH

Joint modeling method of indoor and outdoor scenes based on line features

The invention discloses an indoor and outdoor scene joint modeling method based on line characteristics, comprising the following steps: obtaining original point cloud data, wherein the original pointcloud data comprises an indoor point cloud and an outdoor point cloud; extracting wall surfaces of the indoor point cloud and the outdoor point cloud respectively to obtain a wall surface point cloud; extracting a line structure for the wall surface point cloud; based on the line structure, the indoor point cloud and the outdoor point cloud being registered. The invention can process different quality point clouds, and the expression is simple. The invention improves the coincidence rate of indoor and outdoor scenes by extracting the wall surface, and further improves the success rate of registration.
Owner:厦门思总建设有限公司

A method and device for classifying information

An information classification method and device, the method comprising: obtaining a plurality of sample feature labels, and obtaining the relationship between each sample feature label and a subject category to be classified; performing word segmentation processing on a plurality of sentences to be classified, Obtain the word set to be processed; The words to be processed are replaced by similar words to obtain the word set after the update; According to the frequency of occurrence of the first word combination that each sentence to be classified in the word set after the update, generate the feature label to be classified; Calculate The maximum semantic similarity between the feature label to be classified and a plurality of sample feature labels, when the maximum semantic similarity is greater than or equal to the preset similarity threshold, the sample feature label corresponding to the maximum semantic similarity As the target feature label of the feature label to be classified; mark the sentence to be classified corresponding to the feature label to be classified as the subject category corresponding to the target feature label. The method and device can improve the efficiency of information classification.
Owner:SHANGHAI XIAOI ROBOT TECH CO LTD

A social network information dissemination method based on the law of forgetting

The invention relates to a social network information propagation method based on a forgetting law in order to solving the problems that in the prior art, the fact that the influence continuously reduced along with time is not taken into account, and the different responses generated when people receives information at the first time and receives information after the first time are not taken into account. The method comprises the specific steps that 1, an initial activating node set S is set; 2, an activated-state node activates a nonactivated-state neighbor node v at tx; 3, if the nonactivated-state neighbor node v is successfully activated, the nonactivated-state neighbor node v is converted to be in an activated state at tx+1 and tries to activate a nonactivated node x adjacent to the nonactivated-state neighbor node v, and otherwise the nonactivated-state neighbor node v does not change; 4, the step 2 and the step 3 are repeatedly conducted until no non-diffused activated node exists, and then the propagation process is finished. The method is applied to the field of network information propagation.
Owner:HARBIN ENG UNIV

Multi-primary-color LED light-emitting system

The invention relates to the technical field of LED illumination, and provides a multi-primary-color LED light-emitting system, which comprises a multi-channel power supply control module, light-emitting modules, a sensor and data operation module and a light uniformity control module, and is characterized in that the light-emitting modules are independently controlled by the multi-channel power supply control module through current change, the sensor and operation module can calibrate each light-emitting module by controlling the multi-channel power supply module to ensure that the spectrum of the device can coincide with a standard spectrum, and the light-emitting module comprises four single-color light-emitting modules with different colors. According to the invention, the different light-emitting modules are adopted for cooperative use so as to improve the light-emitting efficiency, the spectrum coincidence rate is improved based on mixing of the multiple different light-emitting modules, the spectrum of a T84 standard light source can be achieved through the multi-primary-color LED, and the LED light source has the advantages of environmental protection, low energy consumption, variable volume and the like, and is suitable for wide application.
Owner:XUYU OPTOELECTRONICSSHENZHEN CO LTD

A fluorescent probe for simultaneously or separately detecting hydrogen sulfide and hypochlorous acid in cell lysosomes and its preparation method and application

The invention discloses a fluorescent probe for detecting hydrogen sulfide (H2S) and hypochlorous acid (HClO) in cell lysosomes simultaneously or respectively as well as a preparation method and application of the fluorescent probe, and belongs to the field of analytical chemistry. The molecular formula of the probe disclosed by the invention is C44H43N9O7, and the structural formula of the probe is shown in the formula (I). According to the invention, multiple target molecules (H2S, HClO and H2S / HClO) are simultaneously or respectively detected by a single probe, and different signal responses can be produced for different target molecules. The probe of the invention has the specificity of selecting H2S and HClO, and strong capacity of resisting interference of other molecules. The fluorescent probe disclosed by the invention can be applied to detection of H2S and HClO in a water environment and a cellular level, is a simple, fast and sensitive molecular specificity detection reagent of H2S and HClO and has broad application prospects in the field of biomolecule detection.
Owner:UNIV OF JINAN

Multi-color led lighting system

This application relates to the technical field of LED lighting, and provides a multi-color LED lighting system, including a multi-channel power supply control module, a light-emitting module, a sensor and a data operation module, and a module for controlling light uniformity, wherein the light-emitting modules are respectively controlled by a multi-channel power supply. The modules are individually controlled by current changes; the sensor and computing module can calibrate each light-emitting module by controlling the multi-channel power supply module to ensure that the spectrum of the device can coincide with the standard spectrum; further, the light-emitting module includes four monochromatic light-emitting modules of different colors, At the same time, the use of different light-emitting modules can improve the luminous efficiency, and based on the mixing of multiple different light-emitting modules, the spectral overlap rate can be improved, so that the multi-color LED can realize the spectrum of the Tl84 standard light source, and the LED light source is environmentally friendly and energy-consuming. It has the advantages of small size and variable volume, and is suitable for wide use.
Owner:XUYU OPTOELECTRONICSSHENZHEN CO LTD
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