46 results about "Fiber clustering" patented technology

The invention provides a diffusion tensor imaging white matter fiber clustering method. The method includes the steps of pre-processing original rsf magnetic resonance imaging (MRI) data and the original diffusion tensor imaging (DTI) data, registering the pre-processed rsf MRI data into a DTI space, respectively conducting fiber tracking and brain tissue segmentation on the pre-processed DTI data, conducting fiber projection on white matter fiber which can not reach grey matter or exceed a grey matter surface in a white matter fiber obtained by DTI, then calculating functional similarities among the white matter fiber, obtaining a matrix of the similarities and clustering by adopting an affine spread clustering algorithm. Fiber bundle has functional independence, accuracy without need to relay on of a genetic linkage map and require complicated registration.

The invention relates to a method for preparing hollow fiber molecular sieve membranes in batches, which is used for scale preparation of molecular sieve membranes supported by a ceramic hollow fiber supporting bodies. The method comprises the following steps: carrying out surface pretreatment on the hollow fiber ceramic supporting bodies and regularly packaging the hollow fiber ceramic supporting bodies into a cluster; coating molecular sieve seed crystal particles on the surfaces of the hollow fiber supporting bodies and drying to obtain a seed crystal hollow fiber cluster; placing the seed crystal hollow fiber cluster into membrane synthetic fluid to carry out hydro-thermal synthesis, washing by deionized water and drying after finishing hydro-thermal synthesis so as to obtain the hollow fiber molecular sieve membrane cluster. The method has the advantages of high mechanical degree, strong maneuverability, high yield and good repeatability and has important significance for industrial production and application popularization of the hollow fiber molecular sieve membranes.

The present invention refers to a process of making a fibrous structure, wherein roughly graded material is provided to rotating, apertured drums. The drums have at least one needle roll in their inside. The roughly graded material is agitated inside the drums, whereby fibers or small fiber clusters are separated from each other. These fibers and small fiber clusters are flung through the apertures to the outside of the drum, where they are directed onto a foraminous carrier to form a fibrous structure. The fibrous structures are especially useful in absorbent articles.

A spray deposition apparatus comprises a source of aqueous fiber slurry that includes a mixture of milled graphite fibers in suspension. A slurry input of the spray deposition apparatus is coupled to the source of aqueous fiber slurry. The slurry input receives the mixture of aqueous fiber slurry. A gas pressure input receives pressurized gas. A nozzle aspirates the mixture of aqueous fiber slurry with the pressurized gas to produce a stream of fiber cluster droplets.

The invention discloses a sponge type road paving structure for a garden and a construction method of the sponge type road paving structure, and relates to the technical field of garden roads. The sponge type road paving structure for the garden comprises a water permeable brick layer, a water permeable cushion layer, a leveling layer, a fixed grid layer, a base layer and a cushion layer which aresequentially arranged from top to bottom. Water collecting holes are formed in the leveling layer, and fiber clusters are arranged in the water collecting holes; a water collecting pipe is arranged on the fixed grid layer, and a water collecting tank is arranged on the base layer; the water collecting pipe is in communication connection with the water collecting tank, and a filter screen is obliquely and fixedly arranged in the water collecting tank; the water collecting tank is connected with a recovery pipe, and the recovery pipe is connected with a recovery tank; the recovery tank is connected with a ground spray head, and an unloading hole is formed in a side of the water collecting tank; the base layer is provided with an underground urban drainage pipeline, and the underground urbandrainage pipeline is connected with the unloading hole through an unloading pipe; an unloading flashboard assembly is arranged on the water collecting tank; and a structural layer of the road of thegarden is modified, and has functions of improving water permeability, water drainage and recycling of the road of the garden.

The invention discloses a flow box, and belongs to the field of paper-making mechanical equipment. The flow box comprises a cylindrical shell, wherein a pulp inlet and a pulp outlet are formed on the cylindrical shell; a pulp applying device is arranged at the pulp outlet; the pulp inlet is communicated with a pulp distributing device; a roller capable of rotating around the axis thereof is coaxially sleeved inside the cylindrical shell; a clearance is formed between the outer roll surface of the roller and the inner surface of the cylindrical shell. According to the invention, the roller is coaxially sleeved inside the cylindrical shell and the roller can rotate around the axis thereof, so that when the roller rotates at a high speed, under the driving of the pressure difference and the roll surface, pulp flows along with the roll surface in the clearance formed between the roll surface and the cylindrical shell; the flowing speed of the pulp is smaller than the motional speed of the roll surface, so that friction is generated, a turbulent flow is generated in a pulp flow, flocculated fiber clusters in the pulp flow can be dispersed, and thus the evenness of a paper sheet is improved; and the flow box is simple in structure and convenient to manufacture and is applicable to paper-making machines with high, medium and low speeds.

The present invention relates to micro-vibration optic fiber sensor of 2-D optic fiber cluster and its operating method. Micro-vibration optic fiber sensor of 2-D optic fiber cluster comprises housing, supporting point member for optic fiber, coupler for optic fiber, optic fiber cluster, first accommodator, image converting device for processing of optic signals, coupler for optic fiber cluster coupling the first accommodator to the image converting device. The image converting device comprises image converter, second accommodator coupled to the image converter, output port for electric signals and power connectors. The operating method of the micro-vibration optic fiber sensor of 2-D optic fiber cluster is that adjusting the length of the coupler of the optic fiber cluster, installing the housing of the micro-vibration optic fiber sensor of 2-D optic fiber cluster on the sensed object, and placing the image converter at another location.

A LED fiber decorative lamp structure has a base and a plurality of transparence devices mounted on the base to form the whole shape of the LED fiber decorative lamp structure. A plurality of LED luminous sections is fixed on the base, and each LED luminous section has a plurality of LED illuminating settings. Each LED illuminating setting has a hollow fixation device fixed on the base and a fiber cluster having a plurality of fibers colligated together. The colligated end of the fiber cluster being inserted into the hollow fixation device, each fiber of the non-colligated end being set inside the transparence device. The LED is inserted into the other end of the fixation device and the head of the LED being besides the colligated end of the fiber cluster.

The invention relates to a separating device, which is an adjusting fiber filter used for water and aqueous solution comprising a shell body, a water inlet and a water outlet are arranged on the shell body, a fixed orifice plate and a floating orifice plate are arranged in the shell body, a fiber cluster material positioned between a fixed orifice plate and a floating orifice plate is provided with a filter material density adjusting device and the gas mixing equipment, the invention is characterized in that: the filter material density adjusting device has the structures that a frame is arranged on the device for fixedly connecting with the floating orifice plate, a closed water chamber is arranged in the frame, a plurality of aqueducts are arranged in the closed water chamber, a square-cavity of the closed water chamber is connected with an exhaust pipe, a water filling pipe and a drainage pipe by a soft cannula; a directive wheel contacting with the shell body is arranged on the side wall of the frame; the center in the shell body is provided with a guiding support pipe; the floating orifice plate may be a screen mesh. The invention can closely pile and press or fully extend and loosen the fiber cluster material through the filter material density adjusting device, and has advantages of high filtering precision, large area, high capacity of pollutant cutting, long filtering period, large water preparation amount, good filtering quality and reliable performance.

The invention provides a fiber classification method based on spatial similarity and a system realizing the fiber classification method. The fiber classification method comprises the following steps that: a data processing and fiber tracking module is adopted, and data importing, voxel modeling and probabilistic fiber outlet path tracking are carried out; a color coding, spatial mapping and fiber clustering module is adopted, and fiber beams are subjected to color coding in the spatial direction; and an interaction module is adopted, and the fiber is redrawn. The system realizing the fiber classification method comprises the data processing and fiber tracking module, the color coding, spatial mapping and fiber clustering module and the interaction module used for redrawing the fiber.

The invention discloses a method for achieving white matter rapid segmentation and fiber cluster data analysis. The method replaces all fiber distance data problem by neighbor fiber distance data so as to achieve algorithm acceleration, wherein adjacent fiber search uses a binary tree method so as to obviously reduce the calculated quantity of fiber density [rho] and factor dc. The method solves long time consumed in the prior art and well guarantee classification accuracy.

The invention relates to an intelligent whole-process spinning system with a function of sorting and circularly recovering lap waste, and belongs to the technical field of spinning. On the basis of existing intelligent spinning equipment, an existing scutching and dust filtering device, an existing lap waste packaging machine and an existing tail yarn remover, a mode of pipe suction collection andconveying is adopted, the lap waste generated from the intelligent spinning equipment system is conveyed to the scutching and dust filtering device for filtering and impurity removal, and after filtering and impurity removal, fibers are conveyed to the packaging machine for packaging; the whole process is completed continuously and automatically, manual operation is not needed, and the labor costis reduced; in order to ensure smooth and continuous lap waste collection and conveying and solve the problem of pipe blockage, a stirring-type cutter is arranged in the portion, close to the junction of a lap waste inlet end, of a conveying pipe and used for cutting twining fiber clusters or fiber agglomerates. Partial fiber packs formed by the packaging machine are directly carried to an intelligent spinning opening set to recycle the recovered lap waste, the raw material utilization rate is increased, and the cost is reduced.

The invention discloses a self-adaptive control device for a supercritical extraction and separation device, and belongs to the field of supercritical extraction and separation devices. According to the scheme, the self-adaptive control device for the supercritical extraction and separation device can control the pressure intensity in a separation environment through an Internet of Things technology so that the crystallization rate of the target crystal is controlled, the target crystal is not easy to precipitate too slowly, the target crystal grows too slowly, and the target crystal is not easy to precipitate too fast to generate violent growth to cause excessive dispersion of the target crystal. Meanwhile, the capture fiber cluster is arranged in the separation kettle main body so that target crystals are easily separated out and adsorbed on elastic fiber individuals of the capture fiber cluster, and the separated target crystals can grow at a pre-designed specified position; meanwhile, a collecting disc matched with the captured fiber cluster is arranged in the separation kettle main body, subsequent collection and purification of target crystals are facilitated, and the separation efficiency is improved.

The invention discloses a carbon fiber cluster sample preparation device and a carbon fiber cluster preparation method. The device includes a pre-pressing straightening assembly, a restraining ring assembly and a trimming assembly, wherein the pre-pressing straightening assembly is used for pressing and straightening carbon fibers forming a carbon fiber bundle to obtain a cylindrical carbon fiberbundle, the restraining ring assembly includes an upper restraining ring and a lower restraining ring, the upper restraining ring and the lower restraining ring are two semi-rings in the form of snaps, which are butted to form a full circle as a restraining ring for restraining the carbon fiber bundle, the trimming assembly includes a clamping device used for clamping the restraining ring and a cutter used for trimming the clamped carbon fiber bundle. The device is advantaged in that through pre-pressing straightening assembly, smoothness and collimation of a carbon fiber bundle state can be more in line with experimental requirements; through the restraining ring, the carbon fiber bundle sample can be made to acquire accurate volume density and profile dimensions, and the sample preparation device can greatly reduce interference of the sample preparation process of the sample on the experimental result.

An absorbent member (4) of the present invention includes fiber clusters (11) containing synthetic fibers (11F) and includes water absorbing fibers (12F), and a plurality of the fiber clusters (11) are interlaced with each other or with the water absorbing fibers (12F). The content mass ratio of the fiber clusters (11) to the water absorbing fibers (12F) (fiber cluster ratio) is smaller in the side of a skin-facing surface (the side of a topsheet (2)) than in the side of a non-skin-facing surface (the side of a backsheet (3)) of the absorbent member (4). The fiber cluster (11) includes a main portion (110) formed by two opposite base surfaces (111) and a body surface (112) intersecting the base surfaces (111).

The invention relates to a collagen fiber quality judgment method, and belongs to the technical field of collagen detection. The method comprises the following steps of: (1) taking treated and extracted collagen fibers, performing mixing and kneading, carrying out moisture detection, then conducting calculating according to a moisture detection result, supplementing ice water into a collagen fibercluster, and uniformly mixing and kneading the substances; (2) carrying out centrifugal treatment on the collagen fiber cluster; taking out the product and measuring moisture at the upper end and thelower end, and if moisture has no difference, indicating that the fiber water absorption capacity is strong; if the lower moisture is higher than the upper moisture, indicating that the water absorption capacity is weak; and (3) detecting the surface viscosity of the collagen fiber cluster: detecting the surface viscosity of the fiber cluster, and under the condition of the same moisture, the smaller the viscosity is, the better the moisture is bound by the fibers, and the better the opening degree of the collagen fiber bundle is; if collagen fibers are damaged, the water absorption capacitybecomes poor, and the surface viscosity is high. The method is scientific, reasonable, easy and convenient to operate and low in cost, and can better guide production by rapidly judging the quality ofthe collagen fibers.

The invention provides a fiber cut-off device. The fiber cut-off device comprises two shear bodies and a connecting piece. The fiber cut-off device is characterized in that each of the shear bodies comprises a shear handle and a shearing portion which is arc-shaped; a plurality of shearing teeth are arranged on the inner side of the shearing portion, cutting edges are arranged on the shearing teeth, a shaft hole is formed in the outer side of the shearing portion, and the shear handle is arranged on the inner side of the shearing portion. During use, the shearing teeth are inserted into a fiber cluster, and then the shear handle is pressed to perform a cut-off operation of the fiber cluster. By arranging the shearing teeth to increase the contact areas of the cutting edges of the cutting device and the fibers, the fibers are more time- and labor-saving to shear, and the sheared fiber clusters are closer in length.

The invention provides a brain fiber rapid clustering method based on a continuous clustering framework, which comprises the following steps 1) a fiber cluster parameter model is established, which comprises a fiber cluster center, density, intra-group distance and number of fibers; 2) a certain number of fibers are read, and an algorithm initialized parameter model is searched through a density peak value; 3) a new fiber is read, and similarity distance calculation is carried out on the fiber cluster represented by the parameter model, and the new fibers are distributed to a cluster or placedin a cache container according to the similarity distance; 4) step 2) is repeated; and whether the parameter model is updated or not through the threshold value of the cache container is determined until all the fibers are classified and processed; 5) finally, density peak value searching clustering is carried out on all the parameter models, and the brain fiber clustering process is ended. According to the invention, a fiber cluster is represented through a parameter model, and the fiber similarity calculation is carried out on all the fibers in the cluster in the form of a parameter model,and finally clustering is carried out on all the parameter models.