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In the process of testing the arrester, cranes, lift trucks are normally required in order to test the arresters by removing the high voltage lead conductors. However it's normally a time-consuming, costly, heavy load word with potential risk to the technicians and equipment in the field. Therefore efforts are taken by the researchers to figure out a way to test the MOA (metal-oxide arrester) without...
In this paper, we propose a test data compression method, which combines the advantages of dictionary-based compression and bit mask-based compression. We present a kind of Unfixed-Based Index (UBI), which uses shorter indexes to represent the slices with higher occurrence frequency, while uses longer indexes to represent the slices with lower occurrence frequency. Then, we adopt efficient bit mask...
The traveling salesman problem (TSP) is a well-known combinatorial optimization problem. While, in classical TSP and its variants, the priority of each city is assumed as the same. The objective function neglects extra vehicle loading cost caused by practical factors when optimizing a route. However, in real-world, the priority varies from one city to another and affects the loading cost. Thus, a...
Automatically assigning relevant text keywords to images is an important problem. Many algorithms have been proposed in the past decade and achieved good performance. Efforts have focused upon model representations of keywords, but properties of features have not been well investigated. In most cases, a group of features is preselected, yet important feature properties are not well used to select...
Drainpipe ultrasonic non-destructive testing is liable to be interfered with the external environment. So it is important to remove the noise signal effectively in drainpipe ultrasonic non-destructive testing. The testing system is constructed by self-adaptive wavelet neural networks which is using the wavelet and neural network algorithm. Better fitting signal is achieved by choosing Orthogonal Daubechies...
It is important to remove the noise signal effectively in non-destructive testing. Using the wavelet and neural network algorithm, the author constructed self-adaptive wavelet neural networks in the ultrasonic testing. Better fitting signal is achieved by choosing Orthogonal Daubechies wavelet neuron and optimized scale parameter. The simulation results showed less distortion and better noise cancellation,...
With the rapid evolution of Internet applications, people all over the world are sharing pictures, videos and audios online, and thus, content-based analysis is often demanded. Test efficiency is crucial to the success of online information processing. One obstacle to high-speed testing is the time cost of feature extraction for test objects, particularly for objects with complex representation such...
Cross-organizational workflow appears to be more and more important in global business. It is a better solution to the problem of cross-organizational collaboration that state machine workflow is able to model business processes based on discrete points. Data will be transferred among different organizations in their collaborations and more human interactivities are needed. Further more, the event...
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