50results about How to "Increase consideration" patented technology

In a MRI system housed within a room there is provided a movable magnet and additional components for other procedures on the patient, a control system is provided for the relative movement of the magnet and components. This includes a plurality of magnetic field sensors mounted on the components for measuring the magnetic field at the location of the component and an optional camera positioning system so that the control system can estimate relative positions of the components relative to the magnet from the sensed field strengths from the set of sensors to avoid collisions during the movements.

The invention relates to a repair method for a component (12) and includes the steps of removal of a damaged region of the component (12) with the formation of at least one separating surface; arrangement of the component (12) in a processing chamber (11) of a device (10) for the additive restoration of at least the region of the component that has been removed; determining first structural data of the component (12) disposed in the processing chamber (11); providing second structural data of the component (12); determining third structural data based on the first and the second structural data; and additive restoration of the component region that has been removed on the at least one separating surface of the component (12). In addition, the invention relates to a device (10) for the additive repair of a component (12).

The invention belongs to the technical field of heat testing of low-dimensional materials and in particular relates to a method and a system for simultaneously measuring the heat conductivity, heat diffusivity and heat capacity of a low-dimensional material. According to the system, a frequency-variable periodic wave type heat source assembly is used as a sine wave heat source; temperature signals of different parts of a sample are collected by using an infrared temperature measurement probe in a non-contact manner; periodic wave type signals with signal-noise ratios are collected by using a phase-locking amplifier in double channels; a computer is used for processing the signals and analyzing data; the heat conductivity, the heat diffusivity and the heat capacity can be simultaneously measured. According to the method, a novel analytic method is disclosed by adding a frequency variable on the basis of an Angstrom method, so that one set of device is capable of simultaneously measuring the heat conductivity, the heat diffusion coefficient and the heat capacity change; a reference quantity heat dissipation term m<2> is increased, so that a real part m<2> is added to the square beta<2> of an amplitude attenuation coefficient; the accuracy and the reliability of the complete set of analytic method in actual use are greatly improved.

The invention discloses an electric vehicle online energy consumption prediction method and system, and the method comprises the steps: loading vehicle type information, and obtaining the average hundred-kilometer energy consumption P0 of a vehicle type, and the energy consumption being energy consumption of a standard driving style, a standard road condition and non-high-temperature or low-temperature weather; calculating an energy consumption correction coefficient ke; acquiring driving information of a preset number of vehicles of the same vehicle type which are driven on the current driving road section, classifying the vehicles according to the personal driving style, the congestion degree and the weather recorded after driving to the destination, averaging the actual energy consumption in each class, and further converting the average hundred-kilometer energy consumption of the road section to obtain the ratio of the average hundred-kilometer energy consumption to the standard hundred-kilometer energy consumption P0, namely ke in different styles, congestion degrees and weathers; and calculating and updating the current hundred-kilometer energy consumption P and the driving range E of the vehicle in real time in each execution period, wherein P is equal to keP0, E is equal to 100 Q.C/P, Q is the current battery capacity percentage, and C is the total energy of the batteryof the vehicle. Therefore, the vehicle type in a traditional algorithm is considered, the driving behavior is additionally considered, and the energy consumption prediction is more accurate.

Hollow fan blades for turbo fan gas turbine engines are formed of two separate detail halves. Each detail half has a plurality of cavities and ribs machined out to reduce weight. These detail halves are subsequently bonded and given an airfoil shape in the forming operation. In the present invention, the ribs are oriented biased to provide stiffness as needed in different sections of the fan blade with smooth transitions between regions. The ribs and cavities do not run solely radially or chordwise, but curve and change direction. The path of each cavity is curved sufficiently to eliminate any regions with long, straight cavities, which would have low inertia in cross sections through the cavity parallel to the rib. Preferably, cavities do not continue straight in any direction for lengths greater than half the blade chord (e.g. leading edge to trailing edge) before curvature causes the rib to intersect cross section.

The invention relates to a data bus in a multi-kernel processor chip, which comprises route control units (102) in one-to-one correspondence to a kernel (101); a kernel data transmission bus is arranged between each route control units (102) and the kernel (101) and two, three or four pairs of route data transmission buses are arranged between adjacent route control units (102). The route control unit (102) further has a static route exchange unit and a dynamic route exchange unit. The bus network structure realizes agile transfer of data variables while realizing data stream transfer with high throughput rate simultaneously.

Composites comprising at least a hollow fiber for the gas- or liquid-transporting ceramic material whose outer surface is in contact with the outer surface of the same or another hollow fiber and the contact sites are joined by sintering are described.

Additional composites include at least one hollow fiber from gas- or liquid-transporting ceramic material and at least a connection element for feed or discharge of fluids on at least one of the ends, in which hollow fibers are joined to the connection element by sintering.

The composites can be used for recovery of gases from gas mixtures.

The invention discloses an image restoration method and a training method of an image restoration model. The method comprises the steps of obtaining a to-be-restored first target image; extracting target image features of the first target image; based on the target image features, target candidate area information and a target reference image are acquired, and the target reference image carries mode information of the first target image; and repairing the first target image based on the target candidate region information and the target reference image to obtain a target repaired image corresponding to the first target image. In the image restoration process, the consideration of the mode information of the image is added, the consideration is comprehensive, the restoration effect of imagerestoration is improved, and the restored image is more natural.

Hollow fan blades for turbo fan gas turbine engines are formed of two separate detail halves. Each detail half has a plurality of cavities and ribs machined out to reduce weight. These detail halves are subsequently bonded and given an airfoil shape in the forming operation. In one embodiment, contiguous cavities are formed around freestanding ends of the ribs to reduce the number of cavities required. The freestanding end of each rib is flared such that it has a larger width than the rest of the rib. The cavity extends continuously around the free, flared end of the rib.

The invention discloses a smelting burdening method based on an optimized ecological niche genetic algorithm, which comprises the following steps: S1, establishing a multi-objective function, proposing indexes of various parameters as multi-constraint conditions, and establishing a burdening optimization mathematical model; S2, performing weighting processing on the multi-objective function basedon a difference particle swarm optimization method, and converting the multi-objective model into a problem of a single-objective function; S3, dividing the population into K clusters according to a K-means clustering algorithm, and determining a clustering center; S4, performing selection, self-adaptive crossover, self-adaptive variation and niche elimination operation; and S5, judging whether atermination condition is met or not to obtain the final addition amount of the ingredients. According to the invention, problems of difficult multi-objective solving and easy falling into a local optimal solution and the like existing in batching optimization are solved; according to the smelting batching method based on the optimized ecological niche genetic algorithm, the three processes of determining the weight of the multi-objective function, the ecological niche radius and crossover and mutation operators are improved, the accuracy of the batching ratio is effectively and remarkably improved, and the cost is saved.

The invention discloses a production operation scheduling method based on a clustering ecological niche genetic algorithm, and the method comprises the following steps: S1, building a multi-objectivefunction, proposing a multi-constraint condition, and building a production operation scheduling optimization mathematic model; S2, performing weighting processing on the multi-objective function based on a particle swarm weight optimization method, and converting the multi-objective model into a problem of a single-objective function; S3, dividing the population into K clusters according to a K-means mean clustering algorithm, and determining a clustering center; S4, performing selection, self-adaptive crossover, self-adaptive variation and niche elimination operation; and S5, judging whethera termination condition is met or not to obtain a final production scheduling scheme. The method aims at solving the problems that existing multiple targets in scheduling are difficult to solve and prone to falling into a local optimal solution. According to the scheduling method based on the clustering niche genetic algorithm, the three processes of determining the weight of the multi-objectivefunction, the radius of the niche and crossover and mutation operators are improved, the production scheduling capacity is effectively and remarkably improved, and the production cost is effectively saved.

The present invention refers to generating of cooperation areas in a communications network, wherein each cooperation area is defined by at least two base stations of said communications network, which are cooperating when communicating with mobile nodes in said communications network. In particular, a number of sets of possible interferers is transmitted to at least one mobile node by a base station, wherein with each set of possible interferers an index value associated to said set of possible interferers is transmitted. Then, said mobile node selects a set of possible interferers from said number of sets of possible interferers and transmits a selected index value to said base station, said selected index value being an index value associated to said selected set of possible interferers. Hereupon, a cooperation area for said mobile node is defined by said base station by use of said selected index value.

The invention discloses a multi-target tracking method based on a deep neural network, and the method comprises the following steps: collecting a to-be-tested video, preprocessing the to-be-tested video, and extracting an original image frame of the to-be-tested video; performing target detection on each original image frame, identifying a to-be-tracked target, and obtaining a target detection frame of each original image frame; matching the target detection frames in two continuous frames of images on the time axis, calculating the similarity of to-be-tracked targets in the target detection frames, comparing the similarity of the to-be-tracked targets in the two continuous frames of images on the time axis, judging whether the to-be-tracked targets are the same to-be-tracked target or not, and if yes, allocating an ID and outputting a tracking result; if not, carrying out matching and judgment again; and realizing continuous tracking of multiple targets of the video based on the ID and the tracking result. The motion features and the appearance features are fused into the loss matrix calculation process, the prediction accuracy of the next frame of target is improved, and the ID Switch index is reduced, so that continuous tracking of the target is truly realized.

The invention discloses a dynamic frequency simulation analysis method considering a grid loss variable. The method comprises the following steps that S1, before a moment t is set, supply and demand of an n node power system are balanced, the frequency of the power system is stable, parameters of the power system are known, the power system is disturbed at the moment t, and the imbalanced power Pacct of the power system at the moment is calculated; S2, according to the adjustment characteristics and negative-load static frequency characteristics of a generator set, an imbalance expression and a grid loss expression of the system at a moment t+1 are established; S3, the grid loss expression obtained in the step 2 is utilized to establish an expanded power flow equation set considering the grid loss variable at the moment t+ based on a conventional tide equation, and a Newton-Raphson algorithm is utilized to calculate the frequency of the power system at the moment; S4, whether t+1 is smaller than the total simulation duration or not, if not, the operation is finished, if yes, the parameters of the power system are calculated by utilizing the step 3 and are substituted into the step S1, and frequency simulation at a moment t+2 is performed.

An umbrella is provided that has a support pole, a canopy frame, and a set up assembly. The canopy frame is coupled with the support pole. The set up assembly is coupled with the canopy frame. The set up assembly is configured to open the canopy frame. The set up assembly has an actuator handle, a recess disposed on or in the support pole, and a locking pin. The locking pin is coupled with the handle and is moveable by the handle along a first direction between a first position and a second position. In the first position, the locking pin is disposed in the recess. In the second position the locking pin is spaced away from the recess. Movement of the locking pin along the umbrella pole adjacent to the recess in a second direction transverse to the first direction moves the locking pin between the first position and the second position in the first direction without moving the actuator handle in the first direction.