This paper presents the working conditions of vehicle systems and the requirements of automation *** multi-channel LED drive system proposed is comprised of two main modules,the switch current supply module and the in...
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This paper presents the working conditions of vehicle systems and the requirements of automation *** multi-channel LED drive system proposed is comprised of two main modules,the switch current supply module and the intelligent control *** former part implement filtering and re-amplifying and support four-channel controllable current independent source while the later one supports USB interface to connect and realize channel current size and stability of LED ***,the establishment of a test system show that the development of hardware and software communication module which are based on CAN bus have notable effects.
This paper dissertated the significance and developing objective of the Equipment Overhaul Management System (EOMS),with analyzing the realistic problems in equipment overhaul management of People’s Liberation Army (...
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This paper dissertated the significance and developing objective of the Equipment Overhaul Management System (EOMS),with analyzing the realistic problems in equipment overhaul management of People’s Liberation Army (PLA).It demonstrated the system design framework from the aspects of system function,business flow and system *** was developed on Visual C#.NET,with information technologies and equipments such as RFID and *** can supervise the execution of overhaul scheme and the employment of overhaul budget effectively.
This paper presents a algorithm based on priority list coupled with successive approximation dynamic programming for solving unit commitment problems of GeZhouba hydropower station to minimize water consumption as the...
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This paper presents a algorithm based on priority list coupled with successive approximation dynamic programming for solving unit commitment problems of GeZhouba hydropower station to minimize water consumption as the optimization criterion,which can resolve effectively the "dimension disaster" problem in traditional dynamic *** is confirmed that the optimization speed of the algorithm improve significantly under the premise of the same optimal water consumption by comparing the water consumption and the optimization time with the traditional dynamic programming,successive approximation dynamic programming,priority list dynamic *** algorithm meets the daily operational requirements of Gezhouba hydropower station.
We proposed a multihomed proxy model to analyze the overlay multicast routing problem in a fine granularity so that we can perform the traffic balancing on a link basis rather than on a node basis. We also compared th...
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We proposed a multihomed proxy model to analyze the overlay multicast routing problem in a fine granularity so that we can perform the traffic balancing on a link basis rather than on a node basis. We also compared three path selection algorithms, which do the necessary preparation before the routing process can start. Through simulation results, we show that the alternative path algorithm results in a much better performance in both tree diameter and traffic balancing. In the end we give the OMMP architecture to combine all above notions into a practical framework.
In this paper,the alarm correlation analysis in communication networks is proposed based on association rules. With the complex situation in the network and a huge amount of information updated continuously,it was unr...
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In this paper,the alarm correlation analysis in communication networks is proposed based on association rules. With the complex situation in the network and a huge amount of information updated continuously,it was unrealistic and uneconomical that we did another alarm association rule mining when database updated. So it is possible to hold an alarm association rule mining only on the update data. This paper uses incremental association rule mining,and puts the improved incremental algorithm of FUP algorithm into the application of fault alarm correlation analysis in the network. It combines the traditional sophisticated analysis of alarm and the association rules mining. The improved algorithm is proved efficient on the research of Fault Alarm Correlation Analysis in communication network through experiments. It reduces the redundant rules,and significantly improves the efficiency of mining.
In this paper, a sort of complicated information system-the incomplete and fuzzy decision information system (IFDIS) will be studied;the focal point researching on IFDIS falls into decision rule acquisition which has ...
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In this paper, a sort of complicated information system-the incomplete and fuzzy decision information system (IFDIS) will be studied;the focal point researching on IFDIS falls into decision rule acquisition which has important reality significance and application value. On the base of the gamma-tolerance relation and the philosophy of variable precision rough set model in incomplete information system, the gamma-tolerance relation-based variable precision rough set model in incomplete information system is presented. Subsequently, the variable rough set model in IFDIS is proposed and its basic properties are discussed. The method of precision reduct in IFDIS based on the variable rough set model is provided. The notion and approach of decision rule acquisition focused on optimal and pessimal decision rules are presented. Finally the algorithm for rule acquisition will be given and illustrated it valid by an example.
This paper proposes a design of voice alarm terminal which is based on *** design the hardware circuit with MSP430F149 microcontroller as its core and uses the program structure and functional modular methods to desig...
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This paper proposes a design of voice alarm terminal which is based on *** design the hardware circuit with MSP430F149 microcontroller as its core and uses the program structure and functional modular methods to design its software. The Voice Alarm Terminal can integrate with the enterprise VoIP system, but also can send the appropriate alarm sound depending on different events and broadcast through the VoIP terminal, so that personnel- related can hand danger timely. It has extensive application value.
This paper points out the application limitations of the current synchronous transmission and asynchronous trans- mission, presents a new type of high-speed asynchronous serial transmission scheme based on 8b10b, intr...
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This paper points out the application limitations of the current synchronous transmission and asynchronous trans- mission, presents a new type of high-speed asynchronous serial transmission scheme based on 8b10b, introduces the principle of the scheme, and pointed out the program's features and key tech- nologies.
Tree height is a critical biophysical parameter in forestry, and it is closely related to the critical parameters “volume” and “forest biomass” in forest resource management. The detection of tree height has becom...
Tree height is a critical biophysical parameter in forestry, and it is closely related to the critical parameters “volume” and “forest biomass” in forest resource management. The detection of tree height has become an important part of ecology and global climate change research, serving as the foundation for monitoring and analyzing the carbon cycle of terrestrial ecosystems and global carbon dynamic change. In this paper, the Digital Surface Model (DSM) is the Digital Elevation Model (DEM) extracted from the short band (C-band) interference image, and the Digital Terrain Model (DTM) is the DEM extracted from the long band (L-band) interference image. The forest height is retrieved using the difference between DSM and DTM based on plane registration, and the forest height change is monitored using multi-phase DSM images, which can be used for large-scale forest height change monitoring. The analysis of the change in tree height in the Helan Mountain Area from 2010 to 2015 to 2020 shows that tree growth is not linear, and the change in tree height also has a decreasing effect with the increase in tree age.
The component selection of minimum noise fraction (MNF) rotation transformation is analyzed in terms of classification accuracy using support vector machine (SVM) as a classifier for hyperspectral image. Five differen...
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The component selection of minimum noise fraction (MNF) rotation transformation is analyzed in terms of classification accuracy using support vector machine (SVM) as a classifier for hyperspectral image. Five different group of different number of MNF components are evaluated using validation points and validation map. Further evaluation including classification error distribution and separation-class accuracies comparison are performed. The experimental result using AVIRIS hyperspectral data shows that keep about 1/10 MNF components could achieve best accuracies. However, for different target classes, the optimal number of MNF components is variance.
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