118results about How to "Avoid convergence" patented technology

A dielectric capacitor is provided which has a reduced leakage current. The surface of a first electrode (38) of the capacitor is electropolished and a dielectric film (40) and a second electrode (37) are successively laminated on it. The convex parts pointed end (38a) existing on the surface of the first electrode is very finely polished uniformly by dissolving according to electropolishing, a spherical curved surface in which the radius of curvature has been enlarged is formed, and the surface of the first electrode is flattened. Therefore, concentration of electrolysis can be prevented during the operation at the interface of the first electrode and the dielectric film, and the leakage current can be reduced considerably.

A method for strategy independent optimization of a multi-objective function of a portfolio containing at least one investment is disclosed. The method involves the use of genetic algorithms to arrive at function optimization. A suite of strategies is provided enabling the user to select a strategy and optimize a function. Real world data is drawn from exchanges and is utilized for replication. The invention also discloses a novel combination of apparatus for carrying out the method of invention, typically, using parallel processing.

There is provided a display driver device (liquid crystal driver) causing no degradation in display image quality even when a plurality of signal lines (source lines) of a display panel are divided into a plurality of groups as a countermeasure against EMI. With a liquid crystal display driver device (the liquid crystal driver) for generating image signals to be impressed to respective signal lines of a display panel upon receiving display image data, and outputting the image signals in a lump, corresponding to every one line, according to an output timing signal inputted from outside, output amplifiers, in the last stage of the liquid crystal driver, for outputting the image signals, respectively, are divided into a plurality of groups, and the output amplifiers of respective groups are caused to undergo a periodical change in output sequence while the respective image signals are slightly staggered in output timing by the group.

A touch-sensitive apparatus is configured to define a touch surface on a panel by propagating diverging energy beams (e.g. of radiation) across the touch surface inside the panel. Two rows (20A, 20B) of components (2, 3) of a first type that emits energy as a diverging beam and a second type that detects energy are functionally connected to the panel at opposite ends of the touch surface. The rows (20A, 20B) are defined by consecutive component blocks (B) that each contain only components (2, 3) of one type and are defined by type and number of included components. Each row (20A, 20B) comprises a respective sequence (S) of two component blocks (B) of different types and is defined by systematically repeating the sequence (S) along the respective opposite end. To achieve an improved spatial resolution of the touch-sensitive apparatus for a given number of components, at least one of the sequences (S) is selected to consist of two component blocks (B) with different number of components, and the sequences (S) are selected such that at least one component block (B) differs between the sequences (S).

A generating device including a magneto generator, wherein: an AC control voltage is applied to an armature coil of the magneto generator from a battery via an inverter to change a phase angle of the AC control voltage, thus increase/reduce an output of the magneto generator and match the output of the generator with a target value; it is determined that a characteristic, in which the output of the magneto generator increases when the phase angle of the AC control voltage is delayed, is a normal control characteristic, and a characteristic, in which the output of the magneto generator decreases when the phase angle of the AC control voltage is delayed, is a reciprocal control characteristic; and it is determined whether a present control characteristic of the output of the generator relative to the phase angle of the AC control voltage is the normal control characteristic or the reciprocal control characteristic to decide, based on a determination result, a changing direction of the phase angle of the AC control voltage when the output of the generator is controlled and brought close to the target value.

The invention discloses a path planning method for multiple mobile robots based on an improved genetic algorithm, and belongs to the field of mobile robots. The path planning method mainly comprises the steps of initializing relevant parameters of the algorithm and initializing a population p(t); calculating a fitness value of each individual; judging whether a counter t meets termination conditions or not, if so, terminating the algorithm, enabling an optimal individual in the contemporary population to act as an optimal solution to output; if not, turning to the next step; selecting an individual which continues to perform evolution from the population p(t) according to a designed selection operating method; generating a random number R1 in a range of (0, 1), judging whether the random number R1 meets a crossover probability pc, and if so, turning to the next step; and if not, conducting other steps. The path planning method not only improves an acquired global optimal solution or near optimal solution for robot path planning, but also improves the convergence speed, and can be further popularized and applied to the fields such as production scheduling.

An optical recording medium improves the quality of servo signals and readout signals by preventing light convergence on the back of the surface of the optical recording medium and reducing interference of light reflected from recording surfaces of the optical recording medium. An optical recording medium 40 includes at least three information recording surfaces, and satisfies d1<(d4−d1), where d1 is a distance from a surface 40z of the optical recording medium 40 to a first information recording surface 40a that is nearest to the surface 40z and d4 is a distance from the surface 40z to a fourth information recording surface 40d that is most distant from the surface 40z, and satisfies dmin≧8 μm, where dmin is a minimum interlayer thickness between the at least three information recording surfaces.

The invention discloses a titanium alloy variable-pitch milling three-dimensional modeling method based on finite elements. The titanium alloy variable-pitch milling three-dimensional modeling method includes steps of firstly acquiring tool system parameters and material parameters of workpieces and a tool and devising technical cutting parameters; modeling a milling tool geometrically according to the technical parameters and the principle that the radial included angle ratio of various tool teeth to a former tool tooth of the milling tool is equal to the corresponding ratio of feed engagement per tooth; modeling physical models of the milling tool and the workpieces as well as the contact relation and the kinematic relation; submitting operations to an ABAQUS/Explicit solver; drawing a milling force-time curve, a milling temperature-time curve, or a stress and strain figure of a certain specific joint set after the solution is obtained. The helical angle of the milling tool is considered, so that modeling can be closer to the real machining condition; by adopting geometric variable-pitch modeling, different working conditions of feed engagement per tooth can be simulated at one time, and modeling and computing time is saved.

The invention relates to a method of detecting and identifying a defect or an adjustment error of a rotorcraft rotor using an artificial neural network (ANN), the rotor having a plurality of blades and a plurality of adjustment members associated with each blade; the network (ANN) is a supervised competitive learning network (SSON, SCLN, SSOM) having an input to which vibration spectral data measured on the rotorcraft is applied, the network outputting data representative of which rotor blade presents a defect or an adjustment error or data representative of no defect, and where appropriate data representative of the type of defect that has been detected.

The invention discloses an optimization method for a heat-engine plant thermal on-line process identification and control algorithm based on a dual-objective parallel ISLAND-HFC mixed model genetic programming algorithm. The steps comprise: 1, establishing a hardware platform; 2, the optimization method being completed by executing foreground interface software and background software by the hardware platform, the background software being formed by field test and data acquisition software, process identification software, and PID controller parameter optimization software. The method makes an ISLAND model and a HFC model organically combine together, anti-prematurity convergence property is good, multi-core CPU resources of an industrial control computer are fully used, multithreading run concurrently, evolution speed is fast, and the method is suitable to solve comprehensive problems. On one hand, dual-objective evolution controls errors between an evolution model and an ideal model, and on the other hand, the structure of an evolution individual is controlled, and finally, optimal individual structure and parameters satisfy requirements. For process identification, a field process model is accurately matched, and for parameter optimization of a PID controller, optimal proportion, integral, and differential parameters are obtained.

Embodiments of the invention provide a method and a device for forwarding a message. The specific embodiment of the method comprises the following steps of selecting a first neighbor edge device as a second edge device when a first edge device detects that a first link has a fault, wherein the first neighbor edge device and the first edge device have a border gateway protocol (BGP) neighbor relation and are connected to a target virtual machine; obtaining a first logic channel between the first edge device and the second edge device; and when the first edge device receives a target message sent to the target virtual machine, forwarding the target message to the second edge device through the first logic channel in order to make the second edge device forward the target message to the target virtual machine. According to the embodiments, the data loss can be prevented when the link in an EVPN network has the fault, and the convergence of network topology, which is caused by the fault of the link and the fault recovery, is avoided.

A ring selection method for a dual ring network to perform node-to-node packet transmission. A transmission node transmits a reception node address request message for packet transmission to all nodes, and updates a routing table using information on a short path transferred from the reception node. The information on inter-node hop numbers included in the routing table is used to select a ring having the lowest hop number between the reception nodes It is then determined whether the selected ring is wrapped, and if the ring is not wrapped, comparing its usage rate and hop number to the reception node with reference values based on a ring selection algorithm; and if the ring is suitable based on the reference values, selecting the ring for packet transmission.

The invention discloses a cooperative relay selection method based on an improved genetic-particle swarm optimization mixed algorithm. The method comprises following steps: an emitting terminal detects N accessible relay nodes and obtains channel state information of the nodes; the particle population of a relay selection scheme is expressed in an initialization manner; the speeds and the positions of particles are updated, and the fitness value of the particles is calculated; the individual extremum and the global extremum of the particles are updated; particle position arrays serve as genes, the genes are selected to be recombined and added to the population; the genes are selected for mutation, and the original genes are replaced; new particles which never appear in an iteration process are generated in a random manner and added to the population; M particles with the highest fitness value are selected in the population to form a new generation of the particle population; and whether the particle population is in accordance with the termination condition is determined: if so, the particles with the highest fitness value are selected as the optimal relay selection scheme; and if not, the speeds and the positions of the particles are continuously updated. According to the method, the transmission rate of the emitting terminal is increased as fast as possible, and the power consumption is reduced as low as possible.

We disclose demultiplexing processing for an adaptive MIMO equalizer of a receiver of multiplexed communication signals implemented in a manner that significantly reduces the occurrence of singularities at the equalizer output without a significant concomitant increase in the required computational power. The receiver includes an equalizer controller that operates to dynamically track the degree of correlation of one or more pairs of equalized signals outputted by the MIMO equalizer and to use the tracking results to configure the MIMO equalizer in a manner that substantially prevents any two outputs of the MIMO equalizer from converging to the same state. In an example embodiment, the degree of correlation can be determined in a computationally efficient manner by identifying and comparing quadrants in which complex values produced at the different outputs of the MIMO equalizer are located over a plurality of time slots.

The invention discloses a method for improving a standard shuffled frog leaping algorithm.The method comprises the steps of initializing parameters; calculating the adaptive value of each frog individual, and finding the adaptive value and position of the global optimum frog individual of a frog population; conducting optimum drawdown ranking on the frog population; conducting dividing for obtaining frog sub-populations; finding the positions of the optimum and the worst frog individual of each frog sub-population; conducting updating operation on the position of the worst frog individual of each frog sub-population; calculating the adaptive value of the frog individual with the position updated in each frog sub-population, and finding the global optimum adaptive value and the position of the frog population at this moment; implementing prediction of the global optimum adaptive value of the frog population obtained after iteration is completed next time, and furthermore adjusting the movement step-length variable coefficient dj and skip among steps; judging whether the ending conditions are met or not.By means of the method, the defects that at the later stage, the convergence rate of the standard shuffled frog leaping algorithm is severely lowered, convergence precision is insufficient, and the algorithm is prone to getting into local optimum are overcome.

The invention discloses a relative sensitivity method for optimizing shapes of a discrete truss structure and a continuum structure. In the method, for the problem of variable coupling optimization of the shapes of the discrete truss structure and the continuum structure containing structure shapes and sectional dimensions, the iteration direction of a mixed discrete optimizing problem is determined according to the relative sensitivity of a target and restriction, and the sectional dimension and structure shape variables which can lead the best target performance of the discrete truss structure and the continuum structure are calculated. The regulation for determining the iteration direction is as follows: in a feasible region, the iteration direction is the coordinate direction which enables a target function to decrease most rapidly and the restriction to increase least; and out of the feasible region, the iteration direction is the coordinate direction which enables the target function to increase least and the restriction to decrease most; and if the variable corresponding to the iteration direction is a continuous variable, the discrete variable value is set to be a constant, and all the continuous variables are optimized according to a continuous variable optimization method.

The invention discloses an image defogging method and device based on a perception discrimination enhanced generative adversarial network, and the method comprises the steps: collecting a sample: obtaining a clear and fogless image through a high-definition camera, synthesizing a foggy image through an optical model and depth prior information, and obtaining a foggy image pair and a fogless imagepair; constructing a generation network, dividing the collected data samples into a training set and a test set, and inputting the foggy images in the training set into the generation network to generate defogged images; constructing a perception discrimination enhanced adversarial network, sending the generated defogged image and the original fog-free image to the adversarial network, and discriminating whether the generated defogged image is true or false; after a given secondary round is iterated, obtaining an optimal model; and inputting the test image into the optimal model, and carryingout defogging processing. The method provided by the invention is superior to other latest image defogging algorithms, and a fog-free image with higher quality can be generated.

The invention discloses a mobile terminal power distribution method in a heterogeneous wireless network cooperative communication system. The method comprises the following steps: the step 1 in which the mobile terminal is used to detect that L relay nodes which can be used to provide the cooperative communication service exist; the step 2 in which a particle population representing the power distribution scheme is generated; the step 3 in which a fitness function of the power distribution scheme is defined; the step 4 in which initial fitness values of particles are calculated; the step 5 in which particle individual extremum value and global extremum value initialization is performed; the step 6 in which a new generation of particle population is generated; the step 7 in which the fitness value of each particle in the new generation of particle population is recalculated; the step 8 in which particles are selected to undergo mutation and the mutated particles are judged whether to be legal; the step 9 in which the particle individual extremum value and global extremum value are updated; and the step 10 in which the global extremum value is selected as the transmitting power distribution scheme of the mobile terminal. According to the invention, the particle swarm algorithm is used to distribute the transmitting power of the mobile terminal in the heterogeneous cooperative communication system, and at the same time, the receiving end signal-to-noise ratio and the power consumption performance of the mobile terminal can be optimized.