286results about How to "Reduce fit" patented technology

This invention relates to polyolefin compositions. In particular, the invention pertains to elastic polymer compositions that can be more easily processed on cast film lines, extrusion lamination or coating lines. The compositions of the present invention preferably comprise an elastomeric polyolefin resin and a high pressure low density type resin.

This invention relates to polyolefin compositions. In particular, the invention pertains to elastic polymer compositions that can be more easily processed on cast film lines, extrusion lamination or coating lines. The compositions of the present invention preferably comprise an elastomeric polyolefin resin and a high pressure low density type resin.

This invention relates to polyolefin compositions. In particular, the invention pertains to elastic polymer compositions that can be more easily processed on cast film lines, extrusion lamination or coating lines. The compositions of the present invention preferably comprise an elastomeric polyolefin resin and a high pressure low density type resin.

The invention relates to an indoor positioning method based on a BP neural network and improved a centroid algorithm, belonging to the field of wireless communication and intelligent control. The indoor positioning method comprises the steps of: carrying out data acquisition under an indoor environment, recording and storing reference node coordinates, blind node coordinates, a distance d between a reference node and a blind node and corresponding receiving signal strength indicators (RSSI) during experimenting; training an established BP neutral network by using the RSSI and the distance d; training and checking the established BP neutral network by using an actual RSSI and the corresponding distance d to obtain a function; calling the function to obtain the distance d of the reference node and the blind node; obtaining more than three reference nodes with the distance d from the blind node; taking the three reference nodes with highest RSSI, obtaining three circles with the distance d as a radius; and solving two points of lines of centers of three circles in pairs with two points crossed with two circumferences to obtain six points, and solving centroids of the six points, i.e. the blind node coordinates. The method is more accurate in positioning, thus algorithms are simplified.

The invention provides a human body temperature measurement method, device and system based on face recognition, equipment and a storage medium. The method comprises a face detection step in which a face is detected in real time; a temperature measurement area detection step in which when an effective face is detected, a temperature measurement area capable of performing temperature measurement inthe face is detected; a body temperature measurement step in which the body temperature of the temperature measurement area is measured by using a temperature measurement device; and a comparison andjudgment step in which the obtained human body temperature is compared with a preset temperature value range to judge whether the human body temperature is abnormal or not. According to the invention, a temperature measurement method which is low in investment cost, low in user matching degree, full-automatic, accurate and efficient can be realized, and the user experience is improved.

The invention provides a peelable glue coating composition and a peelable glue coating as well as a preparation method and an application of the peelable glue coating. The peelable glue coating composition comprises the following components in parts by weight: 80-120 parts of an acrylate type oligomer, 8-20 parts of a dilutive monomer, 0.1-1.5 parts of a peeling force modifying agent, 2-12 parts of a triggering agent and 30-50 parts of an organic solvent. The peelable glue coating composition is relatively high in transparency and relatively high in light transmittance and relatively low in haze after film formation. Meanwhile, a coating formed by curing the peelable glue coating composition is relatively high in high temperature resistance and relatively high in peelability. By the high temperature resistance, the coating is good in adhesion property on the surface of a functional hardened layer, and the problems of air bubbles and warping can be effectively improved. By the peelability, the problem of glue layer residues caused during peeling of the coating can be reduced.

The invention relates to an image classification method based on a convolution neural network. The convolution neural network structure is improved. A feature filtering layer is added in a hidden layer. A large number of features are filtered by extracting the convolution network. A part of features with more noise are removed. The convolution network training efficiency is improved. The training time is reduced. The memory use requirement is reduced. A variety of training techniques are gathered, so that the convolution neural network training is converged a better solution to prevent training parameters from falling into a local minimum area. By reducing the number of network parameters, the over-fitting possibility of the neural network is reduced. The image classification accuracy and efficiency can be effectively improved.

A cryocooler cold end assembly is disclosed. The assembly includes a unitary external, outer housing. By constructing the housing from a single unitary metal shell, part count is reduced from prior art assemblies. Additionally, all brazing requirements previously necessary to secure and seal the components are eliminated. Further, due to one or more machining steps subsequent to manufacturing / forming the external sealed housing, the tolerances are improved. This allows for shrink to fit assembly of several components and also results in improved straight-line accuracy between the piston bore and the displacer cylinder. Due to this latter improvement, the need for a displacer liner is eliminated.

The invention provides a landslide displacement prediction method based on wavelet transform-rough set-support vector regression (WT-RS-SVR) combination. By means of the method, according to the characteristics of the influence factors of landslide displacement, the complex displacement process and landslide displacement monitor data measured in real time, accumulative displacement of a typical monitor point is decomposed into trend-term displacement and periodic-term displacement through WT, and a trend-term displacement prediction function is obtained through curve fitting; screening is conducted on the influence factors of the landslide displacement through an RS algorithm, and selected factor sets are used as input factor sets of an SVR machine, accordingly a landslide displacement optimization prediction model based on WT-RS-SVR combination is established, and the precision of a prediction result is analyzed and evaluated. The prediction result of the landslide displacement prediction method can well embody the development and change tendency of the landslide displacement. The landslide displacement prediction method has high prediction capacity, and is accurate, effective and practical.

The invention discloses a hydraulic self-elevating template for a vertical shaft. The hydraulic self-elevating template comprises a template device, a mold withdrawal device, an anchoring device and a climbing frame device which is arranged below the template device and is used for climbing of a whole template assembly, wherein according to the climbing frame device, a plurality of climbing frame guide rails are connected with an anchor cone through a suspension shoe; the climbing frame is connected with the suspension shoe through a suspension box; one end of a hydraulic jack is connected with the suspension box, and the other end of the hydraulic jack is connected with a locking device; and the locking device is connected with the climbing frame guide rails. According to the hydraulic self-elevating template, the whole device can self climb in the vertical shaft so as to finish pouring, and the fit between the vertical shaft and a ground platform is reduced. The template device, the climbing frame device and a four-layer working platform form an integral system, under the action of power provided by the hydraulic jack, the integral system can self climb in the vertical shaft, and the template is easy and convenient to operate and high in construction efficiency; and therefore, the construction quality of concrete is guaranteed, and the construction safety is improved; and moreover, the hydraulic self-elevating template is suitable for construction of the vertical shaft in a high-depth concrete structure, and working conditions that the template is required to be transferred by a plurality of times.

The invention discloses a magnetism-increasing decoupling axial-flux switching dual-rotor motor. A rotor of the motor adopts a disc-type salient pole structure, and a stator is embedded between a first rotor and a second rotor, is of a salient pole structure and comprises a stator core, a tangential permanent magnet, a magnetism-increasing permanent magnet, a radial permanent magnet and an armature winding. In the magnetism-increasing decoupling axial-flux switching dual-rotor motor, the magnetism-increasing permanent magnet is additionally arranged on the central surface of the stator core of the motor, the whole magnetic path of the motor is divided into a left part and a right part, the magnetism-increasing permanent magnet plays a role in suppressing coupling of the left rotor magnetic path and the right rotor magnetic path, the coupling of the left rotor magnetic path and the right rotor magnetic path can be reduced to a certain extent, and thus, the left rotor and the right rotor have abilities of independent running. Meanwhile, a magnetism gathering effect is generated among the magnetism-increasing permanent magnet, the tangential permanent magnet and the radial permanent magnet, the gap flux density of the motor is further increased, and the power density of the motor is improved. No winding and no permanent magnet are arranged on the rotors, the magnetism-increasing decoupling axial-flux switching dual-rotor motor has the characteristics of simplicity in structure, low cost and small rotational inertia, is applicable for running at a high speed, and can be rapidly started, and a few iron core materials are required for the disc-type structured rotor.

The invention relates to a plate-rolling-free construction method for a vertical cylindrical storage tank and a clamp thereof. The method comprises the following steps: during construction, not using a plate roller to roll a wall plate of the storage tank, correspondingly welding at least one vertical welding line positioning plate at two edges inside the wall plate, welding at least one wall plate positioning frame at the upper edge and the lower edge, regulating radians of most wall plates by adopting the elasticity of the most wall plates for direct installation, and regulating the width of the vertical welding lines at the joint of each wall plate, the radians of the wall plates, the vertical positioning of each wall plate, and the like by using a special vertical welding line adjusting clamp and other normal clamps, to achieve assembly installation of the wall plates at the cylindrical part of the tank. The method has the advantages of simple and easily-mastered installation construction process, simple structure and low cost of the required clamps, fewer constructors and auxiliary facilities, low intensity of labor, short construction period, low cost, good installation quality, wide application range, and the like. Compared with the plate rolling construction method, the method can save labor by more than 5 percent, can reduce the construction period and the construction cost by more than 10 percent, and has great popularization value.

The invention relates to a medical image sample screening method and device, computer equipment and a storage medium, for carrying out intelligent screening on unlabeled medical image samples. The medical image sample screening method includes the steps: carrying out model training on a labeled sample set by utilizing a Mask-RCNN model so as to obtain a focus target detection depth model; predicting the unlabeled medical image sample set according to the focus target detection depth model to obtain a prediction result of each medical image sample and judge a labeling value; and selecting a medical image sample with high annotation value to perform annotation confirmation, performing iterative updating on the focus target detection depth model, and ending the iterative updating until the performance of the focus target detection depth model cannot continue to annotate a new sample. According to the medical image sample screening method, under the condition of limited computing resourcesor annotation cost, the high-value small data set is actively mined and extracted, and efficient diagnosis and decision making are achieved by simulating a medical expert intelligent learning mode, and the intelligent degree is high, and the processing speed is high, and the problem that the annotation efficiency is low is effectively solved.

The invention relates to the technical field of display, and provides a flexible display panel and a preparation method thereof, a display device and a display module. The flexible display panel comprises a plane area, a first bending area, a second bending area and a corner bending area, the first bending area is connected to the first edge of the plane area in the first direction, the second bending area is connected to the second edge of the plane area in the second direction, and a set angle is formed between the second direction and the first direction; a corner bending area is connectedto the corner of the plane area; a corner bending area is arranged on the base and connected between the first bending area and the second bending area, the corner bending area is provided with a plurality of first hole sets, after the corner bending area is bent, the width of the first hole set located in the middle of the corner bending area is increased, and the width of the first hole set located in the edge area of the corner bending area is decreased. Tensile strain and compressive strain are absorbed through the first hole set, and attaching cracks and edge area wrinkles of the flexibledisplay panel are reduced. No bubbles can be generated.

The invention provides a flexible touch display screen. The flexible touch display screen comprises an OLED (organic light emitting diode) display layer and a driving module, wherein a cathode layer connected with the driving module and a packaging layer covering the cathode layer are stacked on the OLED display layer sequentially, and the cathode layer forms an inductive electrode layer or a touch driving electrode layer; corresponding to the inductive electrode layer or the touch driving electrode layer of the cathode layer, a touch driving electrode layer or an inductive electrode layer is arranged on the packaging layer, the driving module applies display driving voltage to the cathode layer at the display stage of the flexible touch display screen, and touch voltage is applied to the inductive electrode layer or the touch driving electrode layer on the cathode layer at the touch stage of the flexible touch display screen. The invention further discloses a manufacturing method of the flexible touch display screen.

The invention discloses an ultra-short-term wind power prediction method considering the historical sample similarity, and the method comprises the following steps: analyzing the correlation between acurrent power value and a historical power value and the correlation between the current power value and a meteorological factor historical value, screening attributes with higher correlation, constructing historical samples, and reflecting the information of the power of a fan at the current moment. After dimension reduction of a historical sample matrix is conducted through a principal component analysis method, K-means clustering is carried out, and an appropriate clustering category K is selected according to a prediction effect, wherein K different clustering categories represent power generation conditions of different wind conditions; according to the category labels, historical numerical weather forecast information is adopted as input, the wind power value at the current moment is adopted as output, corresponding K support vector machine prediction models are established, and hyper-parameters such as the penalty coefficient and the kernel function bandwidth of the support vector machine are determined through a cuckoo search algorithm. According to the method, the problems that all external information cannot be reflected and overfitting are solved, the prediction precision can be effectively improved, and therefore the wind power absorption capacity is improved.

This invention discloses a high penetration light-increasing optical component including forming a LC film of the cholesterin phase and an 1 / 4 wavelength delay film on a matrix orderly and further including forming a polarized film on the delay film, in which, the first two films are formed by coating and the polarized film is formed by coating or adhering a pre-formed polarized film on the delay film. This invention with the polarized film combines the high penetration light increasing optical component with the backlight module of the LED with the polarized film as the brightness increased polarized light source of a LED.

The invention provides a construction method for a network connection adaptive deep convolutional model. The method comprises the steps that first, weight vectors in a convolutional neural network areorthogonalized; second, connection between layers in the convolutional neural network is deleted according to a norm; and third, an activation function is constructed. According to the method, data relevancy is lowered through weight vector orthogonalization; the connection between layers in the convolutional neural network is deleted based on the p norm, the problem of overfitting in the construction process of the deep convolutional model is effectively lowered, and network connection adaptation is realized; and the activation function is constructed to generalize data information as much as possible on the premise of not changing a parameter scale, and therefore the accuracy of the deep convolutional model is improved.

The invention discloses a diaphragm integrated punching method comprising the following steps: S1, respectively compositing a protection film and a bed die on two sides of a diffusion sheet; S2, usinga first knife mold to make a first die cutting and discharging waste, wherein the first knife mold blade comprises an external blade and an internal blade, the internal blade enclosed shape is same with that of a display panel visual zone, and the external and internal blades are different in depths; punching positioning holes on the bed die edge in the first die cutting; S3, compositing a shading tape with a release PET film on the protection film, and using a second knife mold to make a second die cutting and discharging waste; S4, using a third knife mold to make a third time die cutting and discharging waste, thus forming the integrated diaphragm. The method can improve the pasting efficiency, and the shade and the lower layer can be composited by a bonding sheet, thus saving one filmtearing motion and one pasting motion, improving the assembling efficiency, improving the bonding precision, reducing adverse fitting caused by separated pasting, and improving the yield rate.

The invention provides a 3D lung nodule generation method, a device and an electronic device, which relate to the technical field of image recognition. The method comprises the following steps: obtaining target lung nodule image data; inputting the target lung nodule image data into the 3D lung nodule generation model, and outputting the 3D lung nodule corresponding to the target lung nodule imagedata; the 3D lung nodule generation model being trained by depth convolution based on Wasserstein distance to generate the real nodule data by DCGAN; the real nodule data being obtained by data enhancement processing of lung nodule image data to be trained; a depth convolution based on Wasserstein distance being used to generate a countermeasure network DCGAN to train the real nodule data, wherein, the real nodule data is obtained by data enhancement processing of the lung nodule image data to be trained, which increases the amount of data of model training, improves the model accuracy and reduces the model over-fitting, so that the model has high accuracy in the real application.

The invention discloses an integrated pouring device for installation of a rail column type inspection pit fastening system. The periphery of a stand column reserved steel bar is wrapped by shaping aluminum formworks, wherein the two shaping aluminum formworks parallel to a steel rail above the reserved steel bar are higher than the other two shaping aluminum formworks at the positions perpendicular to the steel rail, and the shaping aluminum formworks are used for fixing a matched pouring funnel. The invention further discloses a laying method of the integrated pouring device. The integrated pouring device replaces traditional woodworking operation wasting time and materials, solves the problems that the formwork supporting effect is slow and parts are prone to contamination in the pouring process, and is short in construction period, low in use cost, convenient to construct, high in efficiency, good in stability and wide in application range.

The invention relates to a hydraulic hanger of a double block type sleeper for a passenger special line, belonging to double block type sleeper product pile and loading devices and comprising a small-sized hydraulic station, lifting eyes, a fixed hanger frame, an execution oil cylinder, a movable telescopic link, movable telescopic integrated suspension arms, a buffer positioning protective rod and movable arm lifting support plates; the movable telescopic integrated suspension arms capable of stretching and retracting are respectively arranged at two ends of the fixed hanger frame so as to form a door type structure, i.e. two movable telescopic integrated suspension arms are respectively connected with two ends of the fixed hanger frame through the execution oil cylinder and the movable telescopic rod which are fixedly arranged on the fixed hanger frame; the fixed hanger frame is symmetrically provided with the lifting eyes; the hydraulic station is arranged on the fixed hanger frame; the buffer positioning protective rod is arranged below the fixed hanger frame; evenly-distributed movable arm lifting support plates are longitudinally arranged inside the movable telescopic integrated suspension arms; and opposite movable arm lifting support plates are positioned on the same plane. The hydraulic hanger has the advantages of flexible operation, orderly piling, safety and reliability, improves the operation efficiency, reduces the labor intensity and ensures the quality of products.

The invention relates to the mechanical technology field, more particularly to a testing apparatus of impact vibration of general curtain air bag (CAB). The apparatus comprises a main body structure consisting of a base plate and a main substrate, stiffeners, a connection block, bolts. The apparatus is characterized in that: the base plate and the main substrate are connected vertically to form the main body structure of an inverted T shape; Fixed orifices are arranged on the main substrate, and the connection block is fixed on the fixed orifices by bolts; and the main body structure of an inverted T shape is provided with the stiffeners. Compared with the prior art, the technology employed in the invention is characterized in that: a T-shaped or a double T-shaped main body structure is employed; and a plurality of stiffeners are combined. In addition, the apparatus with a simple structure enables a center of gravity of combination of the to-be-tested CAB and a clamp to pass an axis of a vibration table easily. Moreover, according to the invention, a frequency coverage range is extended, a processing cycle is effectively shortened, and the modification cost is low; an integrated framework is stable; an assembly structure of the connection block can be adjusted according to an actual demand; Welding deformation is effectively reduced because of the focus of utilization of connection by bolts.

The invention relates to a general positioning method for half-ship refloating and pier falling. The method consists of a positioning guide device, a stabilizer device, a limit device and a series ofweight, cable and precision control schemes to form a set of more versatile positioning methods for the ship to refloat and piers to fall., t, the method is not only applicable to the refloating and piers falling of half-ship products, but also applicable to the secondary docking and lifting piers of various offshore platforms. The invention effectively solves the problem of how to safely and efficiently complete the floating and lifting and the secondary lifting piers of ships under various working conditions, reduces the deformation of the ship hull and shortens the docking period.

The invention discloses a cloth defect detection method and system based on a deep neural network, and belongs to the technical field of pattern recognition. The method comprises the steps that a defect cloth image training set is used for training a deep neural network model, labels are defect types and real frame position information, the deep neural network model is composed of a backbone network and a detection network, and the backbone network is used for extracting three feature maps with different scales from defect cloth images; the detection network includesthree detection sub-networks and the detection result fusion module, wherein the three detection sub-networks are the same in structure. Each detection sub-network is used for detecting a defect type and prediction frame position information from the feature map, and consists of three dense connecting blocks, and the feature channel connection between the dense blocks is used for enhancing feature transfer, and the detection result fusion module is used for performing non-maximum suppression on the prediction result to obtain a final prediction frame and a defect type, and inputting to-be-detected cloth into the traineddeep neural network model to obtain a detection result, so that the type and the position of the defect in the cloth can be detected more quickly and accurately.

The invention discloses a fabrication method of a vertical-structure blue-light LED chip. The fabrication method comprises the steps of firstly, taking a substrate with a low stress buffer layer as a growth foundation; secondly, sequentially growing other epitaxial layers on a smooth u-GaN surface to obtain a blue-light LED epitaxial wafer; and finally, fabricating a vertical-structure LED from the blue-light LED epitaxial wafer, wherein the step of fabricating the vertical-structure LED mainly comprises the following steps of depositing and forming a reflecting mirror on a surface of the LED epitaxial wafer, fabricating a metal electrode pattern, bonding a surface of the metal electrode pattern on a metal substrate by a high-temperature metal bonding process, stripping the substrate by a laser lift-off technology, and fabricating another metal electrode pattern on the u-GaN surface. The vertical-structure LED fabricated according to the method is relatively high in single-chip power, the quantity of LEDs in series and in parallel is reduced, the user demand can be satisfied by a single chip, meanwhile, a driving circuit design is simplified, the reliability of an LED product is greatly improved, and the service lifetime of the LED product is greatly prolonged.