46results about How to "Optimize" patented technology

A basic life support system (BLSS) includes a processing element and an output element, such as a display screen or an audio output element, for providing an individual with real-time instructions on providing emergency medical care to a patient until paramedics or other healthcare professionals arrive to take over care for the patient. The instructions may be provided as graphics, including animations, as text, audibly, or as a combination of visible and audible elements. The BLSS may be configured for providing emergency medical care to individuals who have suffered from ventricular fibrillation. Accordingly, the BLSS may also include a defibrillation apparatus, an air or oxygen supply, a respiratory interface, one or more sensors, or a combination thereof.

A basic life support system (BLSS) includes a processing element and an output element, such as a display screen or an audio output element, for providing an individual with real-time instructions on providing emergency medical care to a patient until paramedics or other healthcare professionals arrive to take over care for the patient. The instructions may be provided as graphics, including animations, as text, audibly, or as a combination of visible and audible elements. The BLSS may be configured for providing emergency medical care to individuals who have suffered from ventricular fibrillation. Accordingly, the BLSS may also include a defibrillation apparatus, an air or oxygen supply, a respiratory interface, one or more sensors, or a combination thereof.

A method and apparatus using photostimulation to treat or pretreat a sample site prior to analyte property estimation is presented. More particularly, photonic-stimulation at and / or near at least one sample site is used to enhance perfusion of the sample site leading to reduced errors associated with sampling. This allows an analyte property determination in well perfused regions of the body while sampling at a more convenient less well perfused region of the body.

A representative digital circuit of the invention has an on-chip, non-volatile memory, to which chip-specific speed-binning data that characterize performance of the digital circuit are written during production testing. During normal operation, the power controller that controls power-supply signals applied to the digital circuit reads the speed-binning data from the on-chip memory for use as input parameters for dynamic supply-voltage scaling, dynamic clock scaling, and / or adaptive power control that optimize (e.g., minimize) power consumption in the digital circuit. Advantageously over the prior art, the accuracy and efficiency of dynamic and / or adaptive power control arc improved because the chip-specific speed-binning data enable the power controller to better customize the power-management algorithm for the given digital circuit.

The invention discloses an image feature segmentation method based on a graph convolutional network. The method comprises steps of segmenting the preprocessed image by using a uniform grid; Constructing a directed unweighted graph taking the central image block as a vertex, and writing an adjacent matrix, a feature matrix and a degree matrix of each node corresponding to the graph by utilizing therelationship of the image blocks; Setting a weight matrix according to priori knowledge, and using a formula f (X, A) = D-1*A*X*W to carry out first-layer graph convolution on the graph; Updating thenode information by using a convolution result and taking the node information as an initial value of the next layer of convolution; And constructing a new image again, carrying out convolution, andcarrying out layer-by-layer iteration until the feature segmentation of the whole image is completed. According to the method, before a graph convolution network is made, an image is segmented by using uniform grids, the calculation amount of convolution operation is reduced to a great extent, and the accuracy of feature segmentation is improved by adopting a layer-by-layer iteration method. According to the method, image feature segmentation is carried out by using the graph convolutional network, so that the problem that the convolutional neural network cannot process irregular images is solved, the segmentation effect is greatly improved, and an optimization effect on a feature segmentation result is achieved.

The invention discloses a cooling agent circuit, which is characterized by the following: comprising compressor of compression refrigerating agent, gas cooler, evaporator to evaporate cooling agent, ejector and inner heat exchanger; depressing high pressure cooling agent from gas cooler; absorbing in the low pressure cooling agent from the evaporator; mixing; increasing the pressure for mixed cooling agent; discharging with the ejector; separating the mixed cooling agent to gas phase cooling agent and liquid phase cooling agent; turning the gas phase back to the compressor; providing the liquid phase cooling agent to the gas-liquid separator of the evaporator; paralleling the multiple evaporator; connecting multiple strips of cooling agent cycling passage through switch valve; proceeding heat exchange for the high pressure cooling agent and the low pressure cooling agent with the inner heat exchanger. This invention can prevent increasing of high pressure side, which can make the cycling state to reach optimum.

The invention discloses an intelligent workshop production processing system and method based on digital twinning and machine learning technologies. According to the system, data of a physical workshop are transmitted to a workshop service system in real time through the digital twinning technology; a workshop service system iteratively optimizes initial resources, generates an initial productionplan, and transmits production data to a virtual workshop; the virtual workshop carries out simulation analysis and optimization on the production processing process and returns a simulation result tothe workshop service system; the workshop service system transmits a command to a physical workshop by means of process control; and the system predicts the number of workpieces needing processing based on machine learning to obtain the number of workpieces needing processing in the physical workshop. According to the invention, the simulation optimization and machine tool transfer process for workpiece production processing can be performed in the virtual workshop by using the digital twinning technology and the number of workpieces needing processing can be predicted by machine learning, sothat the resources are saved and the efficiency of product research and development is improved; and the production number of enterprises becomes reasonable.

The invention comprises: a mini CPU, a main CPU, a main power supply, a standby power supply and an external instruction inputting unit. Said CPU chip is used to receive the turn-on / stand-by instructions from the external instruction inputting unit and further to control the switch between the main power supply and the standby power supply; the power switch circuit selects the main power supply to provide power for main CPU at time of starting the system, and selects the standby power supply to provide power for the main CPU at the time of system standby; the mini CPU is also connected to other control chips in TV set for providing a resetting signals.

The invention discloses a light field depth estimation method based on a splitting iteration algorithm, and belongs to the field of computer vision and light fields. The method comprises the following steps: A, correcting an input light field image to obtain a corrected light field image; B, obtaining a sub-aperture image I (x + [delta]x) of the other view angle of the corrected light field image I (x) after the displacement [delta]x occurs based on the Fourier phase shift theorem; C, performing stereo matching on all the sub-aperture images, and constructing an energy function to obtain an initial depth map; D, performing confidence calculation on the initial depth map, finding out inaccurate pixel points in the initial depth map, and optimizing the initial depth map; and E, obtaining an optimized depth map. According to the method, the problem that the baseline between the sub-aperture images is too narrow is effectively solved, the matching quality is improved, and the accuracy degree of the depth map is ensured as much as possible in the calculation process of the initial depth map.

The invention relates to an Apriori-based disease data association method, which belongs to the technical field of data mining and recommendation. The Apriori-based disease data association method comprises the steps of: firstly, establishing a disease keyword database; secondly, carrying out word segmentation processing on an applicable symptom text of a drug by adopting a conventional word segmentation program on the basis of the established disease keyword database, extracting keywords of applicable symptoms, regarding each keyword as a candidate 1 item set, and introducing an Apriori algorithm to calculate frequent item sets of different item numbers; secondly, generating corresponding strong association rules by each frequent item set, and calculating a confidence degree of each strong association rule; and finally, performing recommendation sorting on the frequent item sets according to confidence degrees of the strong association rules. Compared with the prior art, the Apriori-based disease data association method mainly provides the Apriori algorithm to play an association recommendation role in diagnosis and editing of diseases, and improves the accuracy and efficiency inediting the symptoms when a doctor writes out a prescription.

The invention discloses a low-carbon and high-efficiency parallel disassembly line balance optimization method. The method comprises the steps that a parallel disassembly model is established, and anoptimization model of parallel disassembly line balance is established. The optimization goal is to reduce carbon emission and reduce disassembly time, and belongs to multi-objective optimization; onthis basis, the parallel disassembly model is established, then practical constraints of a disassembly balance problem are comprehensively considered, the high-efficiency and low-carbon optimization method of a disassembly sequence is established, when the optimization problem is solved, a weight method is used for converting a multi-target problem into a single-target problem, finally a genetic algorithm is used for solving the disassembly line balance problem, it can be seen from a convergence graph that the genetic algorithm has a high convergence speed, and the model has a certain optimization effect on the disassembly time.

The invention relates to artificial insemination liquid and a preparation method thereof, in particular to artificial insemination liquid for acipenser dabryanus and a preparation method thereof. The preparation method comprises the steps of dissolving NaCl, KCl, MgCl2.6H2O, CaCl2, glucose and Tris-base into deionized water to form a mixed solution, and adjusting the pH of the mixed solution by HCl to 7.8 so as to form the artificial insemination liquid for the acipenser dabryanus. Every 500 millimeters of the artificial insemination liquid contains 0.585g of NaCl, 0.0019 of KCl, 0.5083g of MgCl2.6H2O, 0.2775g of CaCl2, 5.4g of glucose and 1.2114g of Tris-base. The artificial insemination liquid for the acipenser dabryanus consists of different ions and macromolecular substances by completely aiming at substances for activating sperms of the acipenser dabryanus; the ions and the macromolecular substances can achieve a certain optimizing effect on the movement of the sperms; the activating rate of the sperms is over 90 percent, the activity of the sperms is obviously improved, and the service life of the sperms is obviously prolonged; the activity of the sperms can be improved from 103-123s to 172s-185s; the fertilization rate is increased from 13-29 percent to 54-58 percent.

The present invention relates to a barium stibium and zinc based p type thermoelectric material and the preparing method and belongs to the thermoelectric conversion material domain. The chemical general expression of the present invention is Bal-uRuZn2-vTvSb2-zSz, wherein the R element is Ca, Sr, Yb or Eu and X is the R with impurity with an arrange X which is no less than zero and no more than zero point two; the T element is Cu or Ag and y is T with impurity with an arrange y which is no less than zero and no more than zero point two; S is element Ge or Sn and z is S with impurity with an arrange z which is no less than zero and no more than zero point two. The present invention is compounded under the vacuum or inertia gas and the present invention adopts the quick plasma sinter(SPS) or the method of heat pressure sinter porcelain sample. The ZT value of barium stibium and zinc can reach zero point thirty eight and will be enhanced after adding impurity; and the present invention can be applicable to the thermoelectricity conversion generating or the refrigeration.

The invention discloses a voltage loading method for inhibiting from starting instantaneous current rush and a device thereof. The method comprises the steps of: setting a voltage initial loading value and a voltage final loading value of a buss; loading voltage to the buss according to the voltage initial loading value; and stopping loading voltage to the buss after the voltage loading value of the buss is smoothly changed into the voltage final loading value from the voltage initial loading value. The device comprises a voltage loading value setting module for setting the voltage initial loading value and the voltage final loading value of the buss; a voltage loading module which is connected with the voltage loading value setting module for loading voltage to the buss according to the voltage initial loading value; and a voltage loading stopping module which is connected with the voltage loading module for stopping loading voltage to the buss after the voltage loading value of the buss is smoothly changed into the voltage final loading value from the voltage initial loading value. The invention can inhibit from starting the instantaneous current rush.

The invention relates to a heat conduction paste coating method which comprises the following steps of acquiring outer contour data of a chip bottom plate and establishing a model; calculating a coating dot matrix based on the outer contour model; and spraying heat conduction paste based on the coating dot matrix. According to the technical scheme, the spraying quantity of the heat-conducting paste can be compensated according to the warping degree of the chip bottom plate, dynamic adjustment can be realized according to different warping degrees of different chip bottom plates, the heat-conducting paste between the contact surfaces of the chip bottom plates and the external radiator is different in thickness, the heat conduction paste is properly compensated at the position where the chipbottom plate and the contact surface are not contacted, and the heat conduction paste can be directly conducted between the chip bottom plate and the contact surface at the position where the chip bottom plate and the contact surface can be contacted, so that the heat conduction paste between the chip bottom plate and the contact surface can just fill a gap between two planes without influencingthe tightly contacted positions of the two planes, the thermal resistance between the contact surfaces of the chip bottom plate and an external radiator is small, a heat transfer effect is good, and the optimization of the heat transfer effect is achieved.

The device includes at least multiple groups of element of detecting efficiencies. Each group of element of detecting efficiencies is connected to each component in bus wire arrangement of main board in order to detect quantity of data flow in bus wire arrangement and operating conditions of components on main board. A chip of controlling efficiencies connected to components on main board adjust operating speeds for these components on main board based on signal from element of detecting efficiencies. The said chip determines whether a component on main board is busy or not, in order to tune up or down operating speed for the component.

Provided are a waveguide forming apparatus having an optimized circuit section and a high versatility, a dielectric line forming apparatus, a pin structure and a high frequency circuit. A waveguide is formed by operating first and second conductive layers (6, 7) together with a plurality of control pins (2). A variable high frequency circuit forming section is freely and simply changed by displacing each control pin (2) over a down-status shown by Z1 and an up-status shown by Z2.

The invention discloses a high-density planting frame with tracks and trays, a post-processing system and a control system. The high-density planting frame comprises a plurality of closely arranged planting frame units, each planting frame unit comprises a plurality of planting layers, and the spacings of the plurality of planting layers are different; a planting layer track is arranged on each planting layer, and a planting tray is arranged on each planting layer track through a pulley system; movable conveying platforms are arranged on the two sides of the planting frame units, and platform rails are arranged on the conveying platforms; and a post-processing platform and a transmission track are further arranged on the periphery of the planting frame units, and functional processing units such as a harvesting module, a cleaning module and a transplanting module are arranged on the transmission track. The high-density planting frame is flexible and convenient, can be applied to any three-dimensional planting platform and is suitable for three-dimensional farms with any layout by using a combined system of various tracks and planting trays, the integration of planting and processing is realized, and the problems of low processing efficiency and large labor demand of the three-dimensional farms are solved.

The invention discloses a special slow-release fertilizer produced by organic fermentation and applied to codonopsis pilosula and a preparation method thereof and belongs to the field of agriculturalscience and technology. The slow-release fertilizer is prepared from the following raw materials in parts by weight: 47-50 parts of fish meal, 3-6 parts of soybean meal, 4-5 parts of wheat bran, 10-20parts of biological carbon, 30-48 parts of pig manure, 4-6 parts of a microbial agent, 20-35 parts of a nitrogen-phosphorus-potassium fertilizer mixture, 5-10 parts of trace elements, 3-5 parts of bentonite and 20-25 parts of a slow-release carrier. The special slow-release fertilizer applied to codonopsis pilosula is capable of enabling the codonopsis pilosula to fully absorb the required nutrients in the whole growth period and greatly increasing the yield of the codonopsis pilosula and has a certain optimization effect on the soil.

The invention discloses a vacuum micro-evaporation molybdenum plating method for diamond particles, and belongs to the technical field of composite materials. The method specifically comprises the following steps that 1, Mo powder particles and diamond powder particles are selected, the molar mass ratio of the Mo powder particles to the diamond powder particles is 10: 1, the average particle sizeof the Mo powder particles is 2 microns, and the particle size of the diamond particles is 50-200 microns; 2, the diamond particles are cleaned and dried; 3, the diamond particles and Mo powder are mixed and then subjected to ball milling; and 4, the mixture obtained after ball milling is placed into vacuum micro-evaporation equipment for evaporation, and the evaporation time and the evaporation temperature are set according to the actually required thickness evaporation. According to the vacuum micro-evaporation molybdenum plating method for the diamond particles, the Mo layers on the surfaces of the diamond particles plated through the method are compact, new carbide is formed, the carbide layers are also compact, the heat conductivity is high, the cost is low, the effect is good, the method is suitable for laboratory research, and the problems that the heat conductivity of diamond / copper materials is low, and the heat conduction interface combination is not tight can be solved.

The invention relates to a device (1) for continuous heat treatment of granulated materials, especially to the crystallization of polymer granulate, such as polyethylenterephthalate (PET) for example.The device comprises several adjacent fluidization chambers (2, 3, 4, 5, 6) respectively provided with a sieve plate (11) through which a fluidization gas used to fluidize the granulate can be insufflated into the respective chamber from below via a gas inlet (9), said gas being able to escape via a gas outlet (10) in the top area of the device. The first chamber (2) takes up the greater part ofthe overall volume of all chambers (2, 3, 4, 5, 6) and neighbouring chambers are, respectively, fluidically connected by means of product throughflow openings (18, 19, 20, 21; 28, 29, 30, 31) in the separating walls (14, 15, 16, 17) arranged therebetween. According to the inventive method, using the inventive device (1), the granulated material is guided through several adjacent fluidization chambers (2, 3, 4, 5, 6), the absolute filling level of the fluidized granulating material in the first chamber (2) being at least as high as the absolute filling level of the other adjacent chambers (3, 4, 5, 6) disposed downstream therefrom.

The invention provides an engine residual life prediction method based on a multi-period rule cascade memory network, and the method combines an automatic expansion cascade long and short term memory network with a plurality of domain knowledge rules, and is used for predicting the residual life of an engine. According to the method, an automatically-expanded cascaded long-short-term memory network is used for preliminarily predicting the residual life of the engine. A plurality of domain knowledge rules in the method are used for further correcting the preliminary prediction result so as to reduce the final prediction error. The engine residual life prediction method based on the multi-period rule cascade memory network can effectively solve the problem that a traditional prediction method is not high in prediction precision, the function of accurately predicting the engine residual life is achieved, the structure of a traditional model and the prediction method are optimized, and the prediction efficiency and prediction precision of a traditional method are improved.

The invention discloses an air guide cover. The air guide cover comprises partition plates and a bottom plate; the partition plates are arranged on one side of the bottom plate; an air duct is formedbetween the partition plates and the bottom plate; and an opening in one end of the air duct is over against a high-temperature part needed to be cooled. By arranging the air duct structure, air flowguide is realized; air flow directly reaches the high-temperature part, so that air volume is not lost; and air flow control effectively reduces machine temperature and part temperature, so that the server performance is optimized.

The invention discloses an automatic horizontal turnover type yarn compression packaging machine. The automatic horizontal turnover type yarn compression packaging machine comprises a main rack, a yarn compression mechanism, a charging barrel turnover mechanism, a packaging bag feeding mechanism, a bag opening mechanism, a bagging mechanism, a plane conveying belt and a bag clamping mechanism. By means of the mode, according to the automatic horizontal turnover type yarn compression packaging machine, multiple sets of module equipment are used for compressing and packaging yarn, a complete automatic process is formed, overall optimization is achieved, and the working efficiency and the using accuracy are greatly improved.