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320results about How to "Extended waiting time" patented technology

Calculation apparatus and method for accelerator chip accelerating deep neural network algorithm

The invention provides a calculation apparatus and method for an accelerator chip accelerating a deep neural network algorithm. The apparatus comprises a vector addition processor module, a vector function value calculator module and a vector multiplier-adder module, wherein the vector addition processor module performs vector addition or subtraction and/or vectorized operation of a pooling layer algorithm in the deep neural network algorithm; the vector function value calculator module performs vectorized operation of a nonlinear value in the deep neural network algorithm; the vector multiplier-adder module performs vector multiplication and addition operations; the three modules execute programmable instructions and interact to calculate a neuron value and a network output result of a neural network and a synaptic weight variation representing the effect intensity of input layer neurons to output layer neurons; and an intermediate value storage region is arranged in each of the three modules and a main memory is subjected to reading and writing operations. Therefore, the intermediate value reading and writing frequencies of the main memory can be reduced, the energy consumption of the accelerator chip can be reduced, and the problems of data missing and replacement in a data processing process can be avoided.
Owner:INST OF COMPUTING TECH CHINESE ACAD OF SCI

Multi-line scanning high-refresh-rate full-color LED driving chip and driving method

The invention discloses a multi-line scanning high-refresh-rate full-color LED driving chip and a driving method, and belongs to the field of full-color LED driving chip design. The multi-line scanning high-refresh-rate full-color LED driving chip comprises a synchronous controller, a shift register, a state register, an SRAM buffer, a gray clock generation module, a driving module, a pre-charging circuit and an analog output module. The gray scale clock generation module is used for carrying out frequency multiplication/frequency division processing on the data clock signal DCLK according to the instruction information so as to generate a gray scale clock signal GCLK for controlling the gray scale. The driving module is used for counting the gray scale clock signal GCLK to obtain gray scale counting corresponding to each row of pixel data, and generating an output waveform of a PWM signal corresponding to each row of pixel data by using N continuous rows of pixel data and the corresponding gray scale counting in each scanning process, so that multi-row scanning is realized. The analog output module is used for receiving the PWM signal and generating constant current to drive the LED lamp bead in cooperation with the pre-charging circuit. According to the chip, the refresh rate can be improved, and more scanning lines can be supported.
Owner:HUAZHONG UNIV OF SCI & TECH

Intelligent bus scheduling method based on hybrid heuristic algorithm

The invention discloses an intelligent bus scheduling method based on a hybrid heuristic algorithm. A simulated annealing algorithm and a generic algorithm are combined, and an elitism strategy and a fitness stretching function are added. Individuals with maximum fitness in a population of each generation are directly retained to a next generation, so that the individuals are protected from being damaged by crossover and mutation operation. Through the fitness stretching function, differences among the individuals are reduced at the initial stage of the algorithm, so that the diversity of the population is increased, and the generic algorithm is prevented from falling into a local optimal solution. At the later stage of the algorithm, the differences among the individuals are increased, so that the selection probability of excellent individuals is increased, and a convergence speed is increased. The intelligent bus scheduling method is high in speed; an optimized scheduling plan can be obtained within a short time under the condition of given departure time frequency; and the waiting time of passengers is shortened greatly. The departure frequency can be adjusted dynamically, so that the departure frequency is accordant with the change rule of a total passenger flow volume. The departure time intervals can be adjusted dynamically, so that the waiting time of the passengers is shortened greatly.
Owner:HANGZHOU DIANZI UNIV

Method, apparatus and system of route planning based on autonomous driving

ActiveCN107084733AAvoid long wait timesOptimize driving experienceInstruments for road network navigationRoute planningOperating speed
The invention discloses a method, an apparatus and a system of route planning based on autonomous driving. The method comprises the following steps: S1: vehicle parameter information is obtained; S2: navigation road information between a starting point and a destination is obtained, and the navigation road information comprises a navigation path, traffic light signals, and road condition information; S3: current driving state of a vehicle is obtained, and the current driving state of the vehicle comprises current positional information of the vehicle and driving speed of the vehicle; S4: a floating set of vehicle speed is obtained according to the current driving state and navigation road information of the vehicle; S5: according each speed of the floating set of vehicle speed, the driving time required for a whole journey is obtained, and the speed corresponding to the shortest driving time is used as an optimized vehicle speed; S6: whether driving speed of the vehicle and the optimized vehicle speed are adapted is judged, if not, the vehicle speed is adjusted to the optimized vehicle speed. The method is used for fine adjustment of the vehicle speed, in order to avoid long waiting time for traffic lights, and realize the purposes of optimization of driving experience and green low carbon transportation.
Owner:GUANGDONG MATVIEW INTELLIGENT SCI & TECH CO LTD

Multi-target urban logistics distribution path planning method

The invention discloses a multi-target urban logistics distribution path planning method. The method comprises the following steps: decomposing a three-target vehicle path problem with a time window into a plurality of single-target sub-problems through a group of uniformly distributed weight vectors; initializing the sub-problems by adopting a heuristic strategy; generating a filial generation for the sub-problem by using an evolutionary operator, and designing a target-oriented neighborhood operator to be combined with a variable neighborhood descent algorithm to serve as a local search strategy so as to improve the solving quality of the sub-problem; updating the solution of the sub-problem by adopting a Chebyshev aggregation function; optimizing a non-dominated solution in the archivesby adopting an external archive strategy based on a sorting and congestion degree mechanism; and S3, repeating the steps S3 to S4 until the set maximum number of iterations is reached, and providinga group of feasible vehicle distribution schemes for multi-target urban logistics distribution. Compared with single-target optimization, the method can provide richer decision information for a decision maker, and considers the quality of the solution on the premise of ensuring the convergence and diversity of the algorithm.
Owner:SOUTH CHINA UNIV OF TECH +2

Method, device and system for planning vehicle speed according to navigation path

The invention discloses a method, a device and a system for planning a vehicle speed according to a navigation path. The method comprises the following steps: 1, acquiring navigation road information from a start to a destination, the navigation road information comprising the navigation path, a traffic light signal and a road condition information; 2, acquiring a current driving state of a vehicle, the current driving state of the vehicle comprising current position information of the vehicle and a driving speed of the vehicle; 3, obtaining a fluctuating vehicle speed group according to the current driving state of the vehicle and the navigation road information; 4, obtaining time required by the whole path according to each vehicle speed in the fluctuating vehicle speed group, and determining the vehicle speed corresponding to the shortest driving time as an optimal vehicle speed; 5, judging whether the driving speed of the vehicle is adapted to the optimal vehicle speed or not, and if not, prompting a driver to regulate the vehicle speed. According to the method, the driver can be helped to finely adjust the vehicle speed when driving to avoid excessively long time for waiting at traffic lights to fulfill the aims of optimizing the driving experience and realizing green and low-carbon travel.
Owner:GUANGDONG MATVIEW INTELLIGENT SCI & TECH CO LTD
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