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2153 results about "Complex network" patented technology

In the context of network theory, a complex network is a graph (network) with non-trivial topological features—features that do not occur in simple networks such as lattices or random graphs but often occur in graphs modelling of real systems. The study of complex networks is a young and active area of scientific research (since 2000) inspired largely by the empirical study of real-world networks such as computer networks, technological networks, brain networks and social networks.

Distributed knowledge data mining device and mining method used for complex network

The invention discloses a distributed knowledge data mining device and method used for a complex network. The distributed knowledge data mining device adopts a distributed computing platform which is composed of a control unit, a computing unit and a man-machine interaction unit, wherein the innovation key is to finish the calculated amount needed by a multifarious clustering algorithm in the data mining by different servers so as to improve the efficiency of the data mining. Aiming at different knowledge data, the degrees of relation and the weights of knowledge data also can be computed by applying different standards, so that a more credible result is obtained. A second-level clustering mode is adopted in the knowledge data mining process; the result of the first-level clustering is relatively rough, but the computing complexity is very low; and the computing complexity of the second-level clustering is relatively high, but the result is more precise. By combining the first-level clustering with the second-level clustering efficiently, the distributed knowledge data mining device improves the time complexity and clustering precision greatly in comparison with the traditional first-level clustering mode. According to the invention, as a visual and direct exhibition network structure and a dynamic evolutionary process are adopted, references are provided for the prediction in the fields of disciplinary development and hotspot research.
Owner:BEIJING UNIV OF POSTS & TELECOMM

Large-scale multiple-object ultrasonic tracking and locating system and method

ActiveCN102033222AEnable indoor location trackingOvercoming intractable flawsPosition fixationSonificationEngineering
The invention provides a large-scale multiple-object ultrasonic tracking and locating system and method, relating to an indoor object tracking and locating system and method based on ultrasonic wave. The large-scale multiple-object ultrasonic tracking and locating system comprises an emitting assembly, a receiving assembly and a calculating display unit, wherein the emitting assembly comprises a plurality of ultrasonic signal emitters with different frequencies or different time slot features, and each emitter is installed on different objects and used for periodically emitting ultrasonic signals; the receiving assembly comprises a plurality of ultrasonic signal receiving and processing units for receiving and processing the ultrasonic signal emitted by the emitter; and the calculating display unit comprises a USB (Universal Serial Bus) and an upper computer three-dimensional display server. The invention realizes the tracking and the locating of large-scale multiple-object by schemesof spatial subdivision, time frequency combination, spatial handoff and the like. The locating system of the invention has the characteristics of large locating range, multiple tracking objects, no synchronous error, no need of complex network protocol, low power consumption, high stability and the like.
Owner:JILIN UNIV

Optical transmission network with asynchronous mapping and demapping and digital wrapper frame for the same

An optical transmission network is inherently asynchronous due to the utilization of a variable overhead ratio (V-OHR). The network architecture makes extensive use of OEO regeneration, i.e., deals with any electronic reconditioning to correct for transmission impairments, such as, for example, FEC encoding, decoding and re-encoding, signal reshaping, retiming as well as signal regeneration. The optical transmission network includes a plesiochronous clocking system with intermediate nodes designed to operate asynchronously with a single local frequency clock without complicated network synchronization schemes employing high cost clocking devices such as phase locked loop (PLL) control with crystal oscillators and other expensive system components. The asynchronous network operation provides for asynchronous remapping or remapping of any client signal utilizing any type of transmission protocol where the line side rate or frequency is always the same frequency for the payload signal and the local frequency at an intermediate node is set to a local reference clock in accordance with the payload type and its overhead ratio, i.e., the overhead ratio is varied to meet the desired difference between the line rate or frequency and the desired client signal payload rate or frequency for the particular client signal payload type.
Owner:INFINERA CORP

Deep learning-based method for building position prediction model by considering vehicle driving influence factors in internet-of-vehicles complex network

Characteristics of criss-cross roads, non-uniform vehicle distribution and the like objectively exist in city roads, so that vehicle positions are easily changed to cause the problem of data transmission distortion of an internet-of-vehicles network layer, and the problem becomes a bottleneck hindering the development of internet-of-vehicles application services. An existing vehicle position prediction model is trained by generally utilizing historical track data of vehicles, so that consideration of complex vehicle states and real-time road condition information is lacking, and relationshipsbetween complex driving environments and vehicle driving behaviors and between the complex driving environments and vehicle position changes are mined insufficiently. For the problem, a deep learning-based method for building a position prediction model by considering vehicle driving influence factors in an internet-of-vehicles complex network comprehensively considers the vehicle driving influence factors such as vehicle body attributes, road information, driving environments and the like; in combination with a deep learning technology, the relationships between the vehicle driving influencefactors and the vehicle positions are mined; and the vehicle position prediction model is proposed, so that the purpose of improving vehicle position prediction accuracy is achieved, and assistance isprovided for improving the stability of route protocol design of the internet-of-vehicles network layer and effectively solving the data distortion problem.
Owner:TONGJI UNIV

Electric power system vulnerability assessment method

InactiveCN104156769ACatastrophe preventionFully determinedData processing applicationsAc network circuit arrangementsStructural vulnerabilityEngineering
The invention discloses an electric power system vulnerability assessment method, and relates to the field of a power network safety analysis technology. The electric power system frangibility assessment method comprises the following steps: (1), establishing a complex network structure of an electric power system; (2), establishing a structure vulnerability factor indicator through electrical betweenness in the complex networks structure; (3), obtaining network real-time trend data through a static energy function method; (4), calculating a state vulnerability factor, and calculating to obtain an integrated vulnerability assessment indicator through combination with a structural vulnerability factor in step (2); and (5), outputting a vulnerable area of the electric power system. According to the invention, since the electric power system vulnerability assessment method analyzes vulnerable links which may exist in the electric power system from a global perspective, the vulnerable area in the operation of the electric power system can be comprehensively, accurately and effectively determined, the defects of a conventional single one-sided electric power system vulnerability assessment method and the like can be made up for, emphases are provided for prevention and control of safe operation of the electric power system, and collapse of the electric power system, caused by disturbance or accidents, is effectively prevented.
Owner:ELECTRIC POWER SCHEDULING CONTROL CENT OF GUIZHOU POWER GRID CO LTD +1

SOA system reliability evaluation method based on complex network theory

An SOA system reliability evaluation method based on a complex network theory comprises four steps, belongs to the technical field of complex system reliability and aims at solving the problem that an SOA system is complex in structure and function and a traditional reliability analysis method is difficult to implement and even cannot be implemented and putting forward a methodology for effectively analyzing the reliability of the complex SOA system. The SOA system reliability evaluation method is characterized in that the method is innovatively integrated with the complex network theory, objects in the SOA system and the mutual effect of the objects are abstracted to be nodes and connecting lines in a complex network so as to establish a complex network failure model, a cascading failure model for the SOA system is put forward, and reliability analysis work is completed by utilizing a Monte Carlo simulation experiment on the basis so as to find key software and a weak structure influencing the system reliability. The SOA system reliability evaluation method is not limited by system scale, and increase of the system scale does not enable the calculation complex degree of the method to be remarkably improved. The SOA system reliability evaluation method is clear in physical significance and easily operated and implemented by engineers.
Owner:BEIHANG UNIV
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