Abstract: Provided is a point cloud attribute compression method based on a KD tree and optimized graph transformation, wherein same, with regard to point cloud data, reduces the influence of a sub-graph issue on the graph transformation efficiency by means of a new transformation block division method, optimizes a graph transformation kernel parameter, and improves the compression performance of the graph transformation, and comprises: point cloud pre-processing, point cloud KD tree division, graph construction in the transformation block, graph transformation kernel parameter training, and a point cloud attribute compression process.

Abstract: Disclosed are a shadow removing method for an image and an application. The shadow removing method comprises a shadow-free feature analysis process, a shadow-free transformation parameter acquisition process and a shadow-free feature imaging process. The application is for road surface detection, a detection method comprising: firstly, using a shadow-free feature extraction method to select a region of interest and extract a feature; next, performing image filtering, segmentation and road surface region selection; lastly, performing image morphology filtering and hole filling. The method may remove shadows in color images, thus serving as a pre-processing step applied in various machine vision fields, and the application in road surface detection may solve the problem of detecting a road surface in dark shadows. The method has the advantages of having low complexity, high processing speed and high accuracy.

Abstract: The present invention discloses a method for enhancing a low-illumination image based on a camera response characteristic, including: selecting an exposure model and obtaining a camera response equation model corresponding thereto; determining a parameter of the camera response equation model; estimating an exposure ratio of a multi-exposure image sequence to be generated to an original image so as to generate the multi-exposure image sequence; and performing image fusion on multi-exposure images to obtain an enhanced image with a better visual effect and less distortion. The method can solve the problem that existing low-illumination image enhancement algorithms introduce more artificial traces while enhancing images, and can obtain the enhanced image with the better visual effect and less distortion, thereby obtaining the enhanced image preserving naturalness.

Abstract: An image representation method and processing device based on local PCA whitening. A first mapping module maps words and characteristics to a high-dimension space. A principal component analysis module conducts principal component analysis in each corresponding word space, to obtain a projection matrix. A VLAD computation module computes a VLAD image representation vector; a second mapping module maps the VLAD image representation vector to the high-dimension space. A projection transformation module conducts projection transformation on the VLAD image representation vector obtained by means of projection. A normalization processing module conducts normalization on characteristics obtained by means of projection transformation, to obtain a final image representation vector.

Abstract: Disclosed in the present invention is a video foreground extraction method for a surveillance video, which adjusts a size of a block to adapt to different video resolutions based on an image block processing method; and then extracts a foreground object in a moving state by establishing a background block model, the method comprising: representing each frame of image I in the surveillance video as a block; initializing; updating a block background weight, a block temporary background and a temporary background; updating a block background and a background; saving a foreground, and updating a foreground block weight and a foreground block; and performing binarization processing on the foreground to obtain a final foreground result.

Abstract: A gas chromatography-ion mobility spectrometry detector and a hyphenated apparatus, the gas chromatography-ion mobility spectrometry detector comprises a gas chromatography mechanism and an ion mobility spectrometry mechanism. The gas chromatography mechanism comprises a chromatographic column and a sample injection port. The ion mobility spectrometry mechanism comprises a mobility tube and a connecting body, while a metal connection plate of the connecting body comprises a chromatographic metal plate, an ion mobility metal plate and a semipermeable membrane; on the ion mobility metal plate there are provided an ion mobility sample and carrier gas inlet, an ion mobility sample chamber and a sample injection port; the chromatography sample chamber and the ion mobility sample chamber are separated by semipermeable membrane.

Abstract: A sampling adsorber, a heat desorption chamber device, a sampling apparatus and an analyzer apparatus. The sampling adsorber includes an outer barrel, which includes an outer barrel first end and an outer barrel second end, and a core located in the outer barrel, the core having a core first end and a core second end, and the outer barrel first end and the core first end are located at a same side of the sampling adsorber. The core includes an adsorbent portion configured to adsorb a sample and a core body portion, the adsorbent portion connected to the core body portion. Sizes of the outer barrel and the core are formed such that a gap is provided between them to allow external gas to enter the gap through the adsorbent portion and to subsequently be discharged from a downstream portion of the gap.

Abstract: A cross-media search method using a VGG convolutional neural network (VGG net) to extract image features. The 4096-dimensional feature of a seventh fully-connected layer (fc7) in the VGG net, after processing by a ReLU activation function, serves as image features. A Fisher Vector based on Word2vec is utilized to extract text features. Semantic matching is performed on heterogeneous images and the text features by means of logistic regression. A correlation between the two heterogeneous features, which are images and text, is found by means of semantic matching based on logistic regression, and thus cross-media search is achieved. The feature extraction method can effectively indicate deep semantics of image and text, improve cross-media search accuracy, and thus greatly improve the cross-media search effect.

Abstract: The present disclosure provides a device for collecting semi-volatile or non-volatile substance, including an air nozzle, a front cavity and a collecting body. The air nozzle is configured to eject air to a sample attachment surface. The front cavity has an upper port. The collecting body is sealingly connected to a lower end of the front cavity, inside of which is provided with a cylindrical cavity and a conical cavity arranged vertically coaxially, and bottom of which is provided with a sample outlet. The collecting body is provided with an air intake passage which is non-coplanar with respect to an axis of the cylindrical cavity and is disposed obliquely downward and inward. The collecting body is further provided with an air exhaust passage one end of which is a discharge port connected to the interior of the cylindrical cavity, the other end is connected to an air pump.

Abstract: A method and a device for extracting local features of a 3D point cloud are disclosed. Angle information and the concavo-convex information about a feature point to be extracted and a point of an adjacent body element are calculated based on a local reference system corresponding to the points of each body element. The feature relation between the two points can be calculated accurately. The property of invariance in translation and rotation is possessed. Since concavo-convex information about a local point cloud is contained during extraction, the inaccurate extraction caused by ignoring concavo-convex ambiguity in previous 3D local feature description is resolved.

Abstract: The present disclosure relates to a gas purification apparatus and a trace substance detection device. The gas purification apparatus includes a first purification component, a second purification component and a switching component, wherein the switching component can be switched between a first state and a second state, the first purification component and a component to be purified form a gas purification loop in the first state, and the second purification component can provide a regeneration gas for the first purification component in the second state, so that water vapor and impurities in the first purification component are discharged to outside.

Abstract: The present disclosure relates to the technical field of safety detection, and in particular to a sample collecting and introducing device and a detection system. The sample collecting and introducing device provided by the present disclosure includes a sampling device for collecting a sample, and a semipermeable membrane device for extracting the sample collected by the sampling device and conveying the extracted sample to detection equipment, wherein the sampling device is provided with an air guide cavity, the air guide cavity is configured to guide airflow carrying the sample to flow to the semipermeable membrane device, the semipermeable membrane device is provided with a semipermeable membrane which is arranged outside the sampling device. In the present disclosure, the size of the semipermeable membrane is no longer limited by the sampling device, and therefore the difficulty of increasing the area of the semipermeable membrane is reduced.

Abstract: Disclosed is a video background removal method, which relates to the technical field of video analysis, and in particular to a background removal method based on an image block, a Gaussian mixture model and a random process. Firstly, the concept of blocks is defined, and a foreground and a background are determined by means of comparing a difference between blocks; a threshold value is automatically adjusted by using a Gaussian mixture model, and at the same time, the background is updated by using the idea of random process; and finally, an experiment is made on a BMC dataset, and a result shows that this method surpasses most of the current advanced algorithms, and the accuracy is very high. This method has wide applicability, can be applied to monitor video background subtraction, and is applied very importantly in the field of video analysis.

Abstract: The present disclosure provides an ion mobility spectrometer, which comprises: a power supply circuit, configured to provide a power supply voltage; a corona discharge configured to generate ions to be subjected to measurement, through corona discharge; an ion migration circuit configured to control migration of the ions; a migration zone structure configured to realize, under control of the ion migration circuit, mobility spectrum measurement of the ions which pass through the migration zone structure; a redundant charge extraction electrode arranged between the corona discharge structure and the migration zone structure, so that the ions which are generated by the corona discharge structure can pass therethrough to reach the migration zone structure; and a redundant charge extraction circuit, wherein the redundant charge extraction electrode is connected to the ground through the redundant charge extraction circuit.

Abstract: Disclosed is a video background removal method, which relates to the technical field of video analysis, and in particular to a background removal method based on an image block, a Gaussian mixture model and a random process. Firstly, the concept of blocks is defined, and a foreground and a background are determined by means of comparing a difference between blocks; a threshold value is automatically adjusted by using a Gaussian mixture model, and at the same time, the background is updated by using the idea of random process; and finally, an experiment is made on a BMC dataset, and a result shows that this method surpasses most of the current advanced algorithms, and the accuracy is very high. This method has wide applicability, can be applied to monitor video background subtraction, and is applied very importantly in the field of video analysis.

Abstract: Disclosed in the present invention is a video foreground extraction method for a surveillance video, which adjusts a size of a block to adapt to different video resolutions based on an image block processing method; and then extracts a foreground object in a moving state by establishing a background block model, the method comprising: representing each frame of image I in the surveillance video as a block; initializing; updating a block background weight, a block temporary background and a temporary background; updating a block background and a background; saving a foreground, and updating a foreground block weight and a foreground block; and performing binarization processing on the foreground to obtain a final foreground result.

Abstract: The present invention relates to the biomedicine field, in particular to an anti-human PD-L1 humanized monoclonal antibody and its applications. The invention obtains an anti-human PD-L1 humanized monoclonal antibody with good specificity, high affinity and stability by screening, and the antibody can specifically bind to human PD-L1 instead of binding to members of B7 family, and it can bind to active T-cells to strengthen the activation of T-cells, so it can significantly inhibit the growth of tumor.

Abstract: The present invention relates to the biomedicine field, in particular to an anti-human PD-1 humanized monoclonal antibody and its applications. The invention obtains an anti-human PD-1 humanized monoclonal antibody with good specificity, high affinity and stability by screening, and the antibody can specifically bind to human PD-1 instead of binding to other members of CD28 family, block the binding of PD-L1 and PD-1 with CD80 and partially restore functions of T-cells, so it can significantly inhibit the growth of tumor.

Abstract: A method and a device for MCMC framework-based sub-hypergraph matching are provided. Matching of object features is performed by constructing sub-hypergraphs. In a large number of actual images and videos, objects vary constantly, and contain various noise points as well as other interference factors, which makes image object matching and searching very difficult. Perform object feature matching by representing the appearance and positions of objects by sub-hypergraphs allows for faster and more accurate image matching. Furthermore, a sub-hypergraph has several advantages over a graph or a hypergraph: on one hand, a sub-hypergraph has more geometric information (e.g. angle transformation, rotation, scale, etc.) than a graph, and has a lower degree of difficulty and better extensibility than a hypergraph. On the other hand, the disclosed method and device have stronger capabilities to resist interference and good robustness, and are adaptable to more complex settings, especially with outliers.

Abstract: A method and a device for image matching are disclosed. The method includes acquiring a template image and a target image; acquiring a group of template features according to the template image; extracting a group of target features according to the target image; and according to template features and target features, calculating an degree of image similarity between the template image and each frame of target images, and using a target image with the maximum degree of image similarity as a matched image the template image. In the disclosed image-matching method and image-matching device, image matching is performed by means of respectively calculating an degree of image similarity between a template image and each target image according to a degree of image similarity between template features and target features, so that non-redundancy of features in an image matching process and correct image matching can be guaranteed, and the image matching accuracy can be improved.