36results about How to "Increase perceived speed" patented technology

The invention relates to a method for quickly sensing meeting nodes based on cross-layer triggering in an opportunistic network. Aiming at the defects that the traditional opportunistic network routing technology is used for sensing the meeting nodes by periodically sending index messages and can not achieve the purpose of meeting and sensing the nodes simultaneously, the invention realizes the purpose of quickly sensing the meeting nodes in real time through cross-layer information sharing and cooperative operation. The method comprises the following steps of: operating cross-layer reporting function control at an internal network layer of the nodes to enable the meeting times of the reporting nodes at a physical layer to be consistent with the actual meeting times; meanwhile, operating an index message sending and timing mechanism at the internal network layer of the nodes to increase the cross-layer triggering operation of the physical layer of index message sending; and carrying out self-adaptive adjustment on the timing initial point of an index message sending period. The invention realizes the purpose of quickly sensing the meeting nodes triggered in a cross-layer way in real time for the opportunistic network with lower cost, is favorable for shortening the sensing delay and the data packet transmission delay of the meeting nodes, saves the network resources, and improves the routing efficiency.

The invention discloses a broadband compressed spectrum sensing method based on sub-band matching selection. In a spectrum sensing stage, a secondary user carries out compressed sampling to received analog signals through an analog information converter, thus obtaining few compressed sampling data; frequency domain sparsity signals corresponding to the signals obtained by carrying out Nyquist sampling to the analog signals are reconstructed through an iteration mode; then the secondary user judges the occupation state of each sub-band on the reconstructed frequency domain sparsity signals by an energy detection method; the method has the advantages that the single frequency point matching selection is changed into the sub-band matching selection; the sub-bands of a primary user can be determined; the iterations of the algorithms in the spectrum reconstruction can be greatly reduced; the spectrum reconstruction time is shortened; the residual errors are updated by a regularized least square method; therefore, the spectrum reconstruction accuracy and robustness can be further improved; and the broadband spectrum sensing performance is improved.

The invention discloses a large view field array detection radar based on light flight time. The radar comprises an illumination module, a sensing module and a control module; the control module is separately connected with the illumination module and the sensing module; the illumination module transmits light rays outwards according to a preset radiation angle; the sensing module receives a reflective light ray signal according to a preset detection angle; the sensing module inputs the reflection light ray signal to the control module; and the control module is used for controlling the driveof the illumination module and the sensing module, and processing the reflection light ray signal. According to the radar provided by the invention, the different space ranges are radiated by a radiation light source, the radiation angles of the light sources are mutually remedied, and uniform illumination is achieved; multiple light flight time sensing chips are connected in series, and multipledepth sensing chips are used for simultaneously sensing scenes, so that the sensing speed of the large view field array detection radar is significantly higher than that of the scanning type laser radar, and the vibration sensitivity and waste of scanning time of the mechanical scanning type detection are avoided; the problems of limitations on the detection angle of the single-sensor system lensand on the multi-line laser radar detection speed are solved.

A method to speed up access to an external storage device for accessing to the external storage device comprises the steps of:

• • (a) during startup of a computer, setting up part of a physical memory of the computer as a cache memory for use by the external storage device, in the form of a continuous physical memory area outside the physical memory area that is managed by an operating system of the computer;
  • (b) upon detection of a request to write data to the external storage device, writing the data to the cache memory; and
  • (c) sending the data written in the cache memory to the external storage device to be saved therein.

The invention relates to a method for fast spectrum sensing , which comprises the following steps: establishing a paired carrier multiple-access fast spectrum sensing model; obtaining a noise varianceestimation value of the paired carrier multiple-access fast spectrum sensing model through parameter estimation; obtaining a received signal sample value of the sensing terminal in the paired carriermultiple access fast spectrum sensing model according to the noise variance estimation value; and according to the received signal sampling value of the sensing terminal, determining an idle frequency band, and initiating communication by the sensing terminal through the idle frequency band. Compared with the prior art, the invention has the advantages of coherent spectrum use, high spectrum utilization rate, high spectrum sensing speed and the like.

The embodiment of the invention discloses a training method and device of an unsupervised risk prevention and control model, an updating method and device of an unsupervised risk prevention and control model. The method comprises the following steps: sampling service data of an online system in a target service based on a preset time interval; performing a resampling operation based on the sampledservice data to obtain target service data, wherein the resampling operation at least comprises a data trusted filtering operation; when the target service data which do not participate in training reaches a preset number, based on the preset number of target service data which do not participate in training, carrying out incremental training on a current risk prevention and control model of theonline system in the target service to obtain a target risk prevention and control model, the current risk prevention and control model being an isolated forest model; and replacing the current risk prevention and control model of the online system in the target service with the target risk prevention and control model.

A vehicle ridden by a rider having feet and knees, comprising: a chassis having at least one wheel, where said chassis is configured to receive at least one knee and at least one foot of the rider in a manner that permits the rider to be in a kneeling position when operating the vehicle.

Provided are a radio communication system, a base station, a mobile station, and a radio communication method, by which it is possible to shorten a control time until the transmission of uplink data is possible, and to improve a perceived speed of a user when uplink data is small. A base station 100 transmits collision-type access permission including information on a collision-type access channel toward a plurality of mobile stations, the collision-type access channel serving as a radio resource other than a radio resource assigned in response to a scheduling request and a radio resource available for transmission of uplink data by the plurality of mobile stations. A mobile station 200A transmits the uplink data to the base station by using the collision-type access channel on the basis of the collision-type access permission received from the base station.

The invention discloses a synchronous generator excitation control method. A shutter sampling mode is employed, A voltage and a current output by a generator are sampled, and a non-linear robustness control algorithm is employed to calculate an excitation driving signal; the shutter sampling mode means one or more times of sampling is carried out in each rotating speed cycle based on a generator rotating speed signal, and voltage and current instantaneous value data is sampled. The defect of long sampling delay time of a traditional voltage sampling mode is overcome. The sensing speed of voltage transformation of an output end of a generator is raised fundamentally, and therefore the excitation control speed is raised. The non-linear robustness control algorithm means that with a set generator output voltage goal value Uref and various characteristic parameters of a generator as basic parameters, combined with voltage and current instantaneous value data collected in a shutter sampling mode, an excitation driving signal u is calculated. The method is suitable for non-linear characteristics of a synchronous generator and ensures stable output voltage of a synchronous generator.

The invention discloses a method for measuring the temperature change in magnesium alloy rolling process, which belongs to the technical field of colored metal material machining. The method comprises the following steps: (1) according to a position where the temperature is to be measured in a magnesium alloy plate blank, fixing a thermometry galvanic couple in a corresponding position in a plate blank casting mold; (2) casting refined magnesium alloy melt into a split plate blank casting mold so as to make a casting blank into which the thermometry galvanic couple is embedded, taking out the casting blank, and performing homogenization treatment and surface milling to obtain a plate blank to be rolled; (3) putting the plate blank to be rolled into a heating furnace with a roller channel, connecting the thermometry galvanic couple with a temperature data recorder outside the heating furnace, connecting the temperature data recorder with a temperature data analysis system, detecting and storing the temperature change of the plate blank to be rolled at real time in rolling, so as to obtain a temperature-time curve. By adopting the method, the effect of rapid and accurate temperature measurement is achieved, the change route of the temperature of a blank material in high-speed deformation is easy to capture, the experiment operation is simplified, and the influence of manual operation is reduced.

The invention provides a transformer area user power failure sensing method and a transformer area user power failure sensing system based on intelligent internet-of-things agency. The method comprises the following steps: carrying out batch polling interrogation on voltage values of intelligent electric meters of users in a transformer area; judging whether each user in the transformer area has a power failure event or not by utilizing the interrogation feedback of the intelligent electric meter of each user in the transformer area, wherein when there is a user power failure event in the transformer area, at the moment when all the users with the power failure event recover power supply, the power failure and power on moments recorded by the intelligent electric meters of the users with the power failure event are measured, and the power failure duration of the users with the power failure event is calculated. According to the method, the accuracy of sensing the power-off and power-on events of the users in the transformer area and calculating the power-off duration is improved, and the power supply reliability of the transformer area is improved.