775results about How to "Avoid uneven distribution" patented technology

Expandable sealing means for endoluminal devices have been developed for controlled activation. The devices have the benefits of a low profile mechanism (for both self-expanding and balloon-expanding prostheses), contained, not open, release of the material, active conformation to the “leak sites” such that leakage areas are filled without disrupting the physical and functional integrity of the prosthesis, and on-demand, controlled activation, that may not be pressure activated.

The embodiment of the invention discloses a method, a device and a system for balancing loads of virtual cluster systems, wherein the method comprises the following steps: acquiring load information of a virtual machine in physical nodes in a virtual cluster system, wherein the load information comprises the CPU utilization rate of the virtual machine and the use magnitude of memory; obtaining first load information in a first moment according to the load information and adjusting the CPU utilization rate of the virtual machine in the physical nodes and the use magnitude of memory according to the first load information; and obtaining second load information in a second moment according to the load information and adjusting the migration of the virtual machine among the physical nodes in the virtual cluster system according to the second load information. Due to the embodiment of the invention, the load balance of the virtual cluster system can be realized, and the overhead needed for realizing the load balance is reduced.

A nitride semiconductor device having excellent ESD tolerance, by preventing uneven distribution of the electric current in the p-side nitride semiconductor layer. The p-side nitride semiconductor layer (40) comprises, from the active layer (30) side, (a) a p-side wide band gap layer (12) containing a p-type impurity and (b) a three-layer structure (15) comprising a first p-side nitride semiconductor layer (16), a second p-side nitride semiconductor layer (17), and a third p-side nitride semiconductor layer (18).

The invention discloses a high-low pressure lubricating system for a high power plunger pump. The system comprises a high pressure oilway and a low pressure oilway. The high pressure oilway lubricatesa connecting bearing bush and a crosshead bearing bush in the plunger pump, and the low pressure oilway lubricates a crankshaft bearing, a crosshead slide rail, a reduction box bearing and a reduction box gear pair in the plunger pump. The system has the beneficial effects that oil-taking is carried out by the high pressure oilway and the low pressure oilway, and the high pressure oilway lubricates the connecting bearing bush and the crosshead bearing bush in the plunger pump, and the low pressure oilway lubricates the crankshaft bearing, the crosshead slide rail, the reduction box bearing and the reduction box gear pair in the plunger pump; by supplying oil by two oil pumps, the oil supply mount of each oilway can be better guaranteed, lubricating oil is distributed better, the problem that the lubricating oil amount of each lubricating point is insufficient as the lubricating oil is not distributed uniformly due to too many lubricating branches is avoided, the utilization ratio of the lubricating oil is improved and abnormalities are reduced; the high pressure oilway and the lower pressure oilway adopt two-stage filtration, so that impurities in the lubricating oil can be reduced and the service lives of parts of the plunger pump are prolonged.

The invention discloses a big data deep learning-based stomach cancer pathological diagnosis support system and method. The system comprises an image data obtaining unit, an image data labeling unit, an image database construction unit, a convolutional neural network (CNN) construction unit and a convolutional neural network training unit, wherein the image data obtaining unit is used for obtaining stomach normal tissue slice images and pathological slice images of definite stomach cancer cases as input image data; the image data labeling unit is used for labeling the input image data; the image database construction unit is used for classifying and arranging the labeled image data provided by the image data labeling unit so as to construct a pathological image database; the convolutional neural network (CNN) construction unit is used for constructing a first convolutional neural network model; and the convolutional neural network training unit is used for obtaining an ideal convolutional neural network model. Through the stomach cancer pathological diagnosis support system and method, accurate and efficient intelligent slice reading can be realized so as to assistant the clinical stomach cancer pathological diagnosis work and improve the correctness, work efficiency and work persistent state.

A silica glass member for use with a light having a specific wavelength of 250 nm or shorter, in which the difference in the maximum and the minimum values of hydroxyl group concentration as measured in a plurality of points within a plane vertical to an optical axis whose center is the crossing point of its optical axis with the optical axis of the silica glass member is 50 ppm or lower; and in which the plurality of signed birefringence values obtained based on the birefringence values measured on several points within a plane vertical to an optical axis whose center is the crossing point of its optical axis with the optical axis of the silica glass member and the direction of the fast axis fall within a range of from -2.0 to +2.0 nm/cm. Thus, a silica glass member having high optical transmittance and a high resistance against ultraviolet radiations is provided.

The invention provides a task management method. The task management method comprises the steps of receiving a to-be-underwritten task, and acquiring the task type of the to-be-underwritten task; extracting influence factors which affect the underwritting difficulty from the to-be-underwritten task, and calculating a difficulty coefficient corresponding to each influence factor; determining the difficulty level of the to-be-underwritten task according to the difficulty coefficient corresponding to each influence factor; adding the task type of the to-be-underwritten task and the difficulty level of the to-be-underwritten task into a task pool; receiving a task allocation request and extracting the user information in the task allocation request; according to the user information, determining a corresponding post type and a corresponding function level; determining a task type and a difficulty level corresponding to the post type and the function level; according to the task type and the difficulty level, obtaining a corresponding to-be-underwritten task from the task pool, and allocating the task to a corresponding user. Based on the method, to-be-underwritten tasks can be reasonably allocated, so that the working efficiency is improved. In addition, the invention further provides a task management device, computer equipment and a storage medium.

The invention relates to continuous high efficiency nano spinning solution (15), a nanofiber nonwovens manufacturing method and a manufacturing device which not only has high manufacturing efficiency but form better thickness of the nanofiber nonwovens. The manufacturing device comprises a solution supply system, a solution feeding pipe (8), a connecting mechanism and a metal roller (6); a metal strainer (10) and a fiber receiving web (11) which have the same shaft with the metal roller are sequentially arranged on the outside of the metal roller (6), an unreel roller (12) and a winding roller (13) are arranged on the fiber receiving web (11), and pores (7) are cut on the hollow metal roller (6). The manufacturing method includes the steps: (1), polymer spinning solution (15) is prepared; (2), an electric field is arranged between the metal roller (6) and metal strainer (10); (3), the metal roller (6) is revolved at a certain speed; (4) a measuring pump (4) is led to the metal roller (6) for even internal inputting; (5), the nanofiber is received. The invention is good for the scale manufacturing of static spinning.

The invention discloses a light flexible liquid stab-proof material. Ultrahigh molecular weight polyethylene yarn or aramid fibre is adopted as a raw material to solve the problems of thickness and heaviness, poor comfort and high manufacture cost of the existing stab-proof material. The material is compounded by high strength fiber non-weft cloth, a high strength fiber three-dimensional hollow-structured fabric and liquid with a shear thickening feature by a hot sewing technology, and is in a flexible liquid state when not stressed. Once being impacted, the material hardens and when the impact force disappears, the material restores to the flexible liquid state. The three-dimensional hollow fabric structure can be effectively solving the problem that the original protective materials freely slide after being stacked, playing a role of a bracket and lowering the weaving cost. The non-weft cloth comprises high-performance fiber composite non-weft cloth and a bag-shaped sealed fabric is produced by a hot sewing technology, so the shear thickening liquid leakage problem can be solved. The stab-proof material combines the compression elasticity of the three-dimensional hollow-structured fabric, the anti-leakage property of the non-weft cloth, the feature of shear thickening liquid and the technical advantages of hot sewing, is simple in process and convenient to operate, can effectively protect hurt caused by sharp instruments such as daggers and bayonets, adopts fewer lighter raw materials to motility to ensure the flexibility of a human body in danger, and is not only applicable to supervising officers, city management officers and the like in the police security departments, but also applicable to the civil field such as sports protection (protective clothing for fencing and the like), industrial staff protection (decoration, construction and the like), protection for fishing people and racing drivers of motorcycles, and security protection for cab drivers.

A synchronizing sliding rail assembly includes a transmission mechanism including a first gear meshed between a first toothed rack of a first inner rail of a first sliding rail unit and a second toothed rack of a first outer rail and a second gear meshed between a third toothed rack of a second inner rail of a second sliding rail unit and a fourth toothed rack of a second outer rail, and a transmission rod coupled between a first transmission member that carries the first gear and a second transmission member that carries the second gear, and thus, the first sliding rail unit and the second sliding rail unit are synchronously moved to carry a drawer accurately between an open position and a close position upon operation of the transmission mechanism.

The invention discloses a preparation method of cationic dyeable flame-retardant polyester resin. The manufacturing method is characterized by comprising the following steps: performing an esterification reaction on a halogen-free copolymerized phosphorus-based flame retardant, ethylene glycol and a composite catalyst to prepare an esterification solution of the halogen-free copolymerized flame retardant; performing ester exchange reaction on sulfoisophthalic acid dimethyl ester and the ethylene glycol to prepare a sulfonate-based bis(hydroxyethyl) isophthalate solution; performing an esterification reaction on terephthalic acid (or dimethyl terephthalate), the ethylene glycol and auxiliaries, then adding a catalyst, a stabilizer, the auxiliaries, the esterification solution of the phosphorus-based flame retardant (or a prepolymer solution of the phosphorus-based flame retardant) and the sulfonate-based bis(hydroxyethyl) isophthalate solution, performing condensation polymerization reaction, and cooling and dicing after the end of reaction to prepare the cationic dyeable flame-retardant polyester resin. The cationic dyeable flame-retardant polyester resin prepared by the method disclosed by the invention has the characteristics of good spinnability, polyester fiber cationic dye boiling dyeing under normal pressure conditions, complete chromatogram and strong dye adhesion.

The invention discloses a cutting tool for improving a coating structure. The cutting tool comprises a matrix and a coating covering the matrix. The coating comprises an inner layer B, a transitional layer C and an outer layer D from inside to outside. The inner layer B consists of transitional elements and nonmetal compounds. The transitional layer C comprises a transitional layer C1 and/or a transitional layer C2. The transitional layer C1 and C2 are mainly formed by carbon oxynitride with titanium. The outer layer D has a single phase alpha-Al2O3 structure. The thickness d of the outer layer D is 0.5-4 mu m. The mean grain size S is greater than or equal to 0.2 mu m but less than or equal to 0.5 mu m. The preparation method comprises the following steps of: first, preparing the tool matrix; then, sequentially depositing the inner layer B, the transitional layer C2, the transitional layer C1 and the outer layer D in a same coating period; and then, performing surface treatment to manufacture the cutting tool. The cutting tool provided by the invention is high in hardness and good in wear resistance, and has excellent cutting performance in cutting materials such as steel, stainless steel and cast iron.

The invention relates to the technical field of high polymer materials, and in particular relates to a nano-cellulose reinforced silk fibroin composite material and a preparation method thereof, fibroin fibers and cellulose are dissolved in LiBr as a common solvent, the nano structure of the cellulose is retained by controlling the dissolution degree of the cellulose raw materials, wherein the dissolution temperature of the cellulose is controlled at 80-150 DEG C, the obtained fibroin fiber/cellulose blending solution can quickly form a gel, and the phenomenon of aggregation and uneven distribution of nanocellulose in the solution is avoided; the gel further can be prepared into a membrane and a porous material after being dried, so as to obtain the nano-cellulose reinforced silk fibroin composite material. The preparation process disclosed by the invention is simple and controllable; and the obtained composite material comprises uniformly-distributed nano-cellulose, the strength and the elongation at break of the nano-cellulose reinforced silk fibroin composite material are significantly enhanced compared to regenerated silk fibroin materials.

The invention discloses a method for preparing core-reinforced multi-core MgB2 superconducting wires/strips, which comprises the following steps of: 1, preparing primary composite single-core wires; 2, removing oil stains on the surfaces of the primary composite single-core wires; 3, preparing secondary multi-core composite rods through secondary composite assembly; 4, performing drawing to obtain the core-reinforced multi-core MgB2 superconducting wires; and 5, rolling by using a plain-barrel roller to obtain the core-reinforced multi-core MgB2 superconducting strips. By the method, the kilometer-magnitude core-reinforced multi-core MgB2 superconducting wires/strips of which the strength is enhanced obviously and which have different cross section structures can be prepared, the phenomena of nonuniform and asymmetric distribution of superconducting core wires and the like can be avoided, the practical kilometer-magnitude multi-core MgB2 superconducting wires/strips of which the superconducting core wires and obstruction layers, the core wires and the core wires and wrapping sleeves are tightly bonded and the core wires are uniformly distributed can be prepared, and the requirement of practical application in aspects of superconducting magnets, particularly superconducting nuclear magnetic resonance instruments and the like can be met.

The embodiment of the invention provides a GPU cluster deep learning task parallelization method, a GPU cluster deep learning task parallelization device and electronic equipment, and relates to the technical field of internet. The method comprises the following steps: firstly, analyzing the similarity between a to-be-processed deep learning task and each computing node of a GPU cluster; determining a target computing node of the to-be-processed deep learning task in the GPU cluster, reducing the possibility of computing node resource contention, and improving the utilization rate and the execution efficiency of deep learning task system resources; according to the number of GPUs required by the to-be-processed deep learning task, obtaining a to-be-processed deep learning task; dividing the to-be-processed deep learning task into a plurality of target sub-tasks, analyzing the interference level and the communication cost of the target subtask; determining the target GPU of the target sub-task in the target computing node, and avoiding unbalanced resource allocation on the GPU in the computing node. The high parallelization of the deep learning task is realized. The resource utilization rate of the GPU cluster is improved. Meanwhile, the execution efficiency of the deep learning task is improved.

The invention relates to an evaluation system and method for the efficacy of synchro-neoadjuvant chemoradiotherapy before the rectal cancer surgery. The evaluation system comprises an image acquisition unit used for acquiring pathological biopsy slice scan images and neoadjuvant chemoradiotherapy treatment pre-MRI images of newly diagnosed locally advanced rectal cancer patients, and classifying the rectal cancer patients into a training set, a check set and a test set, to serve as input image data, an image labeling unit used for respectively labeling the pathological biopsy slice scan imagesand the MRI images of the training set, the check set and the test set, a convolutional neural network constructing unit used for constructing a first convolutional neural network model, and a convolutional neural network model training unit used for obtaining a second convolutional neural network model for evaluating the efficacy of synchro-neoadjuvant chemoradiotherapy before the rectal cancersurgery. The evaluation system for the efficacy of synchro-neoadjuvant chemoradiotherapy before the rectal cancer surgery has multiple advantages such as being high in accuracy, short in time consumption, long in working duration, objective and three-dimensional.

The invention discloses a double-layer extrusion blow molding machine die head. The double-layer extrusion blow molding machine die head comprises a material storage cylinder, wherein a material storage core is arranged in a cavity of the material storage cylinder in the axis direction; a sliding space is formed in the middle part of the material storage core in the axis direction; an adjusting rod is slidably arranged in the sliding space; the top end of the adjusting rod is fixed with a servo cylinder; the bottom end of the adjusting rod is fixed with a die core; a middling ring, a material injection piston and an outer layer sleeve are sequentially arranged on the outer side of the material storage core in a sleeving manner and positioned in an actuation space; a first runner space is formed between the middle ring and the material storage core; a second runner space is formed between the outer layer sleeve and the inner wall of the material storage cylinder; the bottom ends of the first runner space and the second runner space are communicated to a material storage space. The double-layer extrusion blow molding machine die head is simple in structure and capable of manufacturing double-layer plastic containers with uniform thickness.

A protection element and a secondary battery device employing the protection element are provided for stably retaining a flux on a soluble conductor at a predetermined position, so as to enable appropriate blowout of the soluble conductor in the event of an abnormality. The protection element has a soluble conductor which is disposed on an insulation baseboard, and which is connected to a power supply path of a device targeted to be protected, and which causes a blowout when a predetermined abnormal electric power, amount is supplied. A flux is coated on a surface of the soluble conductor, and an insulation cover member is mounted on the baseboard and covers the soluble conductor. The protection element also includes a stepped portion for retaining the flux at a predetermined position in contact with the flux, and the stepped portion is formed opposite to the soluble conductor on an interior face of the insulation cover member.

A centralized bandwidth allocation method in a relay network is characterized in comprising: each relay station in the relay network computes bandwidth allocation quantity required by each service priority to obtain the bandwidth allocation statistic of each service priority; the relay stations report bandwidth request messages to a base station with the same reporting period at the same time; the message comprises one or more bandwidth allocation requests, each of which comprises service priority information and bandwidth allocation statistic corresponding to the service priority; and at the end of each reporting period, the base station allocates bandwidth resources to the bandwidth allocation requests according to the service priority sequence or bandwidth allocation statistic sequence. In the inventive method, each relay station computes and reports bandwidth quantity, and the base station sequentially allocates bandwidth resources according to the size of the priority or bandwidth quantity, so that the base station can allocate bandwidth resources by using corresponding strategies after comprehensive consideration of bandwidth request distribution in each relay station in the relay network.

The invention discloses a punctuation mark labeling model and a training method and device thereof, and a storage medium. The method comprises the steps of obtaining a first training corpus containingpunctuation marks; inputting the first training corpus into a preset neural network model with a time sequence for pre-training to obtain a pre-trained language sub-model; obtaining a second trainingcorpus containing punctuation marks, removing the punctuation marks from the second training corpus, and labeling corresponding label combinations at front and rear word segmentation units of the removed punctuation marks to obtain a third training corpus; inputting the third training corpus into an initial punctuation mark labeling model for transfer learning training, obtaining a trained punctuation mark labeling model, the punctuation mark labeling model comprising a pre-trained language sub-model, and the third training corpus comprising a punctuation-free text set and a label sequence set. According to the scheme, a large amount of training data does not need to be manually labeled, the recall rate is increased, and the obtained punctuation mark labeling model has good generalizationability and universality.

The invention discloses a semi-dry circulating cyclone bed desulfurizing tower. By providing a tangential exhaust gas inlet structure of the desulfurizing tower, a rotating flow field is established inside the desulfurizing tower so as to sufficient mixing and contact of exhaust gas, so that the desulfurizing reaction process inside the desulfurizing tower is intensified, a desulfurizing agent is sufficiently utilized, the desulfurizing efficiency is improved; and secondary air is arranged to intensify the intensity of a rotating flow, so that separation of gas from solid is achieved inside the desulfurizing tower. By adopting the structure, an external cyclone separator in a conventional circulating fluidized bed desulfurizing process is omitted, so that the semi-dry circulating cyclone bed desulfurizing tower is compact in structure and easy to install and maintain.

The invention relates to a comprehensive tourism information service multimedia platform. The comprehensive tourism information service multimedia platform comprises a handheld intelligent terminal client, an operator management system, an operation management system, a tourism service provider application system and an interface system. The platform is built in a communication operator IDC (Internet Data Center) machine room, and docked with an existing business system through a special optical fiber network and a tourism sector. Management personnel of project operation accesses the operation management system directly through an operator Intranet, judges a location of a tourist through a positioning system and data of the operator management system, and pushes tourist tourism service system information and a download address of the handheld intelligent terminal client in time. Position coordinates of scenic regions, scenic spots, even tourism service merchants are acquired through a GPS (Global Positioning System) positioning technology. The tourist is guided in tourism through multinational voices and characters, so that precise pushing of tourism information such as accurate tourism routes, scenic regions, scenic spots, ticket services and tourist flow analysis around the current position is realized, and guidance and recommendations of intelligent traffic information are realized.