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The fault-tolerant design is a very important part of electronic system design. Redundant fault-tolerant design is a kind of fault-tolerant design method, it is simple and effective. The previous researchers pay more attention to the influence of the output of circuits on the fault-tolerance of redundant system. Compared with the previous works, the characteristic of this paper is that we will study...
The popular existing de-noising methods are compared and analyzed, including wavelet packet decomposition, coefficient shrinkage and modulus maxima method of wavelet transform, which advantages and disadvantages are analyzed and summarized. So their suitable scopes and premise condition are obtained. To accurately analyze high frequency part of signal in submarine tunnel monitoring, the maxima method...
In the forecasting of road foundation settlement, different methods can often provide valuable information. When different forecasting methods combined properly, comprehensive forecast information are variously utilized. According to the principle of artificial intelligence and method of fuzzy mathematics, the fuzzy combination forecasting method of self-adaptively variable weight is proposed. Based...
The accurate electrochemical model is of great significance for the simulation and design of fuel cell power systems. In order to estimate parameters of the proton exchange membrane fuel cell (PEMFC) model, a modified multi-group DNA genetic algorithm (MMDNA-GA) which is inspired by the mechanism of biological DNA is proposed. In MMDNA-GA, three new crossover operators and three adaptive mutation...
The bag-of-features based models are widely used for image classification. In these models, an image is represented as a set of visual words which come from a dictionary. Therefore, a well learned dictionary is responsible for the discriminative power of representations of images. Our observations show that the representation of an image carries rich underlying information of a dictionary, so we propose...
With the large-scale application of sensing terminals and mobile terminals, the importance of decision support system generator (DSSG) in real-time decision based on big data is highlighting. To solve problems of design pattern and empirical application of DSSG, it elaborates the establishment of technical system of DSSG on the basis of the architecture design based on component coordination, and...
Given the multi-objective properties of optimization models for regional water resource allocation, we analyzed the components and properties of water resource systems. This analysis allowed us to propose a globally optimized, quantum-inspired multi-objective algorithm (QMEA). This approach controls the balance and conformity among individual objectives using the overall degree of coordination of...
ART-2 is a self-organized and unsupervised artificial neural network which can be used to deal with data fusion. But we found that the problem of data overloading is hard to be solved in the process of data fusion. Rough set is a mathematical approach to deal with vague, uncertain and imperfect data. So, we proposed a method of multi-sensor data fusion based on rough set theory and ART-2 neural network...
According to the complexity of the semiconductor manufacturing processes, a RBF neural network improved by GA is put forward to apply in the semiconductor production modeling and predict the line performance indexes. The improved RBF algorithm can play better role in dealing with the dynamic real-time data from the line, building predictive models to describe line dynamic behavior, and presenting...
With the development of communication technology and the rapid augment in data and multimedia services, the demand for indoor localization is increasing. Radio Frequency Identification (RFID) based real time localization system is an effective positioning system. However, due to the complex multi-path interference of indoor environment, most of the localization methods are lack of positioning accuracy...
A case-based pattern design method is proposed to translate an image into a pattern of certain style. The method has two phases. Pattern style and knowledge are learned in case-learning phase, case mapping database and rule database are results of this phase and will serve as memory unit and logical unit respectively. In design phase, user designates the objects in an input image, visual features...
A power self-adaptive algorithm for Vehicular Ad-hoc Networks has been proposed in the paper. The theoretical analysis are based on the Nakagami-3 model. The algorithm can automatically adjust the transmission power by sensing communication density, and meet the requirements of increasing the packets reception rate of receiving nodes and saving energy of transmitting nodes.
In this paper, we propose a method for evaluating the emotional intensity based on Galvanic Skin Response (GSR) signal in real-time. Firstly, the GSR signals are acquired while happy and grief of the subjects are elicited by video clips. Then the functional relation between emotional intensity and GSR feature is established, by fitting the feature values and the emotional intensity values of each...
The fault-tolerant design of analog circuit is a very meaning thing. Negative-correlation redundant fault-tolerant design is a new approach. This paper proposes a method which uses single population to evolve negative-correlation circuit. Each chromosome represents only one circuit and evolves one circuit that meets requirements each evolution time. Then use the evolved circuits to guide the subsequent...
A Real-time Listening Based Self-adaptive Algorithm has been proposed in this paper. This algorithm is based on multi-serviced p-persistent model, it computes the collision/idle ratio according to four priorities of VANET to adjust the transmission probability with a self-adaptive strategy to enhance the channel efficiency. The algorithm improves system through reduces collision probability among...
String comparison function is very important in the course of entity identification. Those existing comparison functions seldom considers the feature of Chinese string and the result is unsatisfied when ther are applied in Chinese string's comparison. To improve the. The experiment result indicates that our function can get higher efficient, higher recall ratio and higher precision ratio than function...
This paper concerns the balance between exploration and exploitation for the uncertain environment based on the particle swarm optimizer. Furthermore, the empirical analysis is based on the proposed membership function AEr and AEi, which can measure the distinctions between exploration and exploitation more precisely than before. The experiments are orthogonal designed under different circumstances...
This paper is based on the "China Equipment and Education Resource System" (CERS) project, which aims at sharing large instruments and their related services. Web Service, which adopts service-oriented architecture, can provide loosely coupled, scalable and portable network modules for distributed applications. In this paper, an improved service oriented architecture to enhance the usability...
Aircraft Landing Scheduling (ALS) plays an important role in ensuring safety and efficiency of flight operation in terminal area in the air traffic management domain. Since ALS problem is multi-constraint and large-scale, existing algorithms can hardly deal with it efficiently. This paper firstly introduces the mathematic model of ALS problem and the 1D Cellular-Automaton model for simulating aircraft...
Natural gas, which is treated as an alternative to the depleting supplies of oil, is widely used for fuel and electricity production. The use of natural gas in the world depends upon the thousands miles of natural gas pipeline networks that have been set up in few decades. The safe operation of these complex systems is of significant importance due to the intrinsic characteristics of hydrocarbons...
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