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3894 results about "Data needs" patented technology

Ka-band tilt-structure active phased array antenna

The invention provides a Ka-band tilt-structure active phased array antenna, so as to provide an active phased array antenna which is high in integration density and can improve maintainability and interchangeability. According to the technical scheme, one path of RF signals transmitted by a transmitting signal processing terminal are transmitted to a power distribution/synthesis network (5) via a signal interface and a radio frequency interface to be divided into M paths of signals; according to information of an azimuth angle and a pitch angle of the phased array antenna provided by the transmitting signal processing terminal in real time, a beam controller (4) calculates and obtains beam pointing of the phased array antenna in real time through an FPGA; the beam pointing of the phased array antenna is converted into phase data needed by each array element under control of the beam controller (4); the data are transmitted to tilt-type TR assembly sub array modules in N channels respectively via a high and low-frequency interconnected multi-core high and low-frequency socket, and under control of the beam controller, M*N paths of signals are transmitted to an antenna array, and thus signal transmission is completed, and synchronous electric control scanning of beams transmitted by the phased array antenna is realized.
Owner:10TH RES INST OF CETC

Data safety sharing and exchanging method and data safety sharing and exchanging platform system

ActiveCN107241360AEnable secure sharingFlexible managementTransmissionData accessData needs
The invention provides a data safety sharing and exchanging method and system. The system comprises a block chain infrastructure, a block chain storage library, an access agent subsystem and a request agent subsystem. The data safety sharing and exchanging method comprises the steps that the access agent subsystem receives description information of first target data, and publishes the description information to the block chain storage library; the request agent subsystem chooses description information of second target data from the description information, generates a data authority request and publishes the data authority request to the block chain storage library; the access agent subsystem obtains the data authority request, replies to the data authority request, and publishes authority reply information to the block chain storage library; the request agent subsystem obtains the authority reply information and judges whether the authority reply succeeds or not, and if yes, the request agent subsystem publishes a data access request of the second target data to the block chain storage library; the access agent subsystem obtains the data access request of the second target data from the block chain storage library, and provides the second target data for a data demand party corresponding to the request agent subsystem.
Owner:北京明朝万达科技股份有限公司

Condition monitoring data stream anomaly detection method based on improved gaussian process regression model

The invention relates to a condition monitoring data stream anomaly detection method, in particular to a condition monitoring data stream anomaly detection method based on an improved gaussian process regression model. The problem that an existing method for processing monitoring data stream anomaly detection is poor in effect is solved. The method comprises the steps that firstly, the historical data sliding window size is determined; secondly, the types of a mean value function and a covariance function are determined; thirdly, the hyper-parameter initial value is set to be the random number from 0 to 1; fourthly, q data closest to the current time t are extracted; fifthly, the gaussian process regression model is determined; sixthly, prediction is conducted by means of the nature of the gaussian process regression model; seventhly, PI of normal data at the time t+1; eighthly, monitoring data are compared with the PI; ninthly, whether the real monitoring data need to be marked to be abnormal or not is judged; tenthly, beta (xt+1) corresponding to the monitoring value at the time t+1 is calculated; eleventhly, the real value or prediction value and the t+1 are added into DT; twelfthly, new DT is created. The condition monitoring data stream anomaly detection method based on the improved gaussian process regression model is applied in the field of network communication.
Owner:HARBIN INST OF TECH

Boundary feature point registering method for point cloud splicing in three-dimensional scanning system

The invention discloses a boundary feature point registering method for point cloud splicing in a three-dimensional scanning system. The method comprises the following steps that (1) a three-dimensional laser scanner acquires space sampling points on the surfaces of a real object in different view angles; (2) a boundary detecting method of a point cloud gravity center distance feature is used for extracting point cloud boundary feature points in different viewing angles; (3) an improved iterative closest point (ICP) algorithm is used for registering point cloud according to the extracted point cloud boundary feature points; (4) the registering precision is evaluated according to a registering error standard, and whether a registering result meets a registering request or not is verified. According to the boundary feature point registering method for point cloud splicing in the three-dimensional scanning system, boundary feature point extraction is conducted on the point cloud to be registered, the defect that all points in point cloud data need to be traversed to search for the corresponding points in a traditional ICP algorithm is overcome, on the basis that the registering precision is guaranteed, the complexity of the algorithm is effectively lowered, and meanwhile the efficiency of point cloud registering is obviously improved.
Owner:CHONGQING UNIV OF TECH

Adaptive multivariable process controller using model switching and attribute interpolation

An adaptive multivariable process control system includes a multivariable process controller, such as a model predictive controller, having a multivariable process model characterized as a set of two or more single-input, single-output (SISO) models and an adaptation system which adapts the multivariable process model. The adaptation system detects changes in process inputs sufficient to start an adaptation cycle and, when such changes are detected, collects process input and output data needed to perform model adaptation. The adaptation system next determines a subset of the SISO models within the multivariable process model which are to be adapted, based on, for example, a determination of which process inputs are most correlated with the error between the actual (measured) process output and the process output developed by the multivariable process model. The adaptation system then performs standard or known model switching and parameter interpolation techniques to adapt each of the selected SISO models. After the adaptation of one or more of the SISO models, the resulting multivariable process model is validated by determining if the adapted multivariable process model has lower modeling error than the current multivariable process model. If so, the adapted multivariable process model is used in the multivariable controller.
Owner:FISHER-ROSEMOUNT SYST INC

Resource allocation and base station service deployment method based on mobile edge computation

The invention discloses a resource allocation and base station service deployment method based on mobile edge computation. The method comprises the steps of sending a computation migration request toa smart base station when it is detected that a computation task exists in a mobile terminal; sending required task data to a network side when a cache unit of the base station is lack of computationdata required by the task contained in the request; receiving the required task data returned by the network side; computing transmission delay and computation delay according to the received requiredtask data, thereby obtaining transmission energy consumption and computation energy consumption; obtaining a computation migration proportion judgment matrix according to delay profits and energy profits; and carrying out computation migration according to the computation migration proportion judgment matrix. The base station service deployment scheme comprises a cache unit, a computation unit, an obtaining processing unit and a sending unit. According to the scheme, the computation capability and data caching capability can be provided. According to the resource allocation method based on the MEC (Mobile Edge Computation) and the base station service deployment scheme, terminal multi-task, base station multifunctional and target diversified computation migration can be realized.
Owner:BEIJING UNIV OF POSTS & TELECOMM

Vehicle driving economy evaluation system and vehicle driving economy evaluation method

The invention relates to a vehicle driving economy evaluation system and a vehicle driving economy evaluation method. The vehicle driving economy evaluation system is characterized by comprising a data center and a plurality of vehicular terminals; the data center exchanges information with the vehicular terminals through wireless network communication technology; the data center comprises an archive data storage module and an evaluation model correction module; each of the vehicular terminal comprises a mode command acquisition module, an archive data acquisition module, a running data acquisition module composed of a GPS (global positioning system)navigation installation and a car recorder, an desired fuel consumption prediction module, an evaluation parameter storage module, a driving behavior evaluation module and a driving suggestion output module. The vehicle driving economy evaluation method includes acquiring various data needed for evaluation firstly, calculating to obtain a corresponding score through the desired fuel consumption prediction module and the driving behavior evaluation module and outputting the score to the driving suggestion output module to display, and storing various data of drivers to the data center for model correcting and training. The vehicle driving economy evaluation system and the vehicle driving economy evaluation method can be applied to driving economy evaluation of various road conditions and vehicle models.
Owner:TSINGHUA UNIV +1
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