6 research outputs found
Application of TDR and FDR Techniques in the Intelligent Maintenance of Communication Line
This paper mainly researched the application of TDR and FDR techniques in the intelligent maintenance of communication line. The detection and localization of communication line based on TDR and FDR techniques were detailed analyzed when disconnection fault, short-circuit fault, line bridges and other anomalies happened. Then TDR and FDR techniques were compared for user to select. After actual verification, TDR and FDR techniques can well satisfy the needs of field application. They have great application value.</jats:p
A research network teaching platform based on intelligent evaluation of learning outcomes
Research on Vehicle Networking Transfer Channel Based on MAC Safety Information System
Amount of cars in China increase rapidly with the fast development of social economy. Traffic jam and accidents have been social problems. Vehicle networking technology is born at the right moment for improving traffic situation and realizing city traffic intellectualization. Wireless access technology has become research hotspot in recent years under the vehicle networking environment. It is of great importance for wide use of vehicle networking to study rational and feasible safety information transmission plan. How to lower time delay of information and data redundancy is a big problem that has to be solved. This paper studied the multi-channel transfer of safety information in MAC layer to opti mize time delay and reliability of information transfer, which have certain value on the development of multi-channel transfer technology of vehicle networking safety information.</jats:p
Lifetime Maximization Routing Based on Genetic Algorithm for Wireless Sensor Networks
To prolong network lifetime, lifetime maximization routing based on genetic algorithm (GALMR) for wireless sensor networks is proposed. Energy consumption model and node transmission probability are used to calculate the total energy consumption of nodes in a data gathering cycle. Then, lifetime maximization routing is formulated as maximization optimization problem. The select, crosss, and mutation operations in genetic algorithm are used to find the optimal network lifetime and node transmission probability. Simulation results show that GALMR algorithm are convergence and can prolong network lifetime. Under certain conditions, GALMR outperforms PEDAP-PA, LET, Sum-w and Ratio-w algorithms.</jats:p
A Study of the Multisensor Estimation Method Based on Fusion Technology for Subsurface Defect Depth
In consideration of difficulty in directly using the multisensor detecting feature information for the defect identification, an improved multisensor recognition algorithm based on data-fusion technology for subsurface defect depth evaluation is proposed. At first, two common nondestructive testing technologies such as ultrasonic testing (UT) and eddy current testing (ECT) are introduced; then, a fusion method based on the error distribution characteristics of two kinds of detection methods is improved through the hyperbolic discriminant function to evaluate the subsurface defect depth. The experimental result shows that the improved algorithm is superior to the existing algorithm, so it can achieve better synthesis results and improve the correct recognition rate
