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With the development of Smart Grid Technology, more and more electric power sensor data are utilized in various electric power systems. To guarantee the effectiveness of such systems, it is necessary to ensure the quality of electric power sensor data, especially when the scale of electric power sensor data is large. In the field of large-scale electric power sensor data cleaning, the computational...
In gene expression data analysis, clustering is a fruitful exploratory technique to reveal the underlying molecular mechanism by identifying groups of co-expressed genes. To reduce the noise, usually multiple experimental replicates are performed. An integrative analysis of the full replicate data, instead of reducing the data to the mean profile, carries the promise of yielding more precise and robust...
Functional Network(FN) has been used in many field successfully, can not be found in blind equalization or detection. The original idea of blind signal detection directly algorithm using the framework of multi-input multi-output Functional Networks (MIMO-FN) is given out. The method of designing the network structure and the role of network state are shown. Then, the advantages and disadvantages of...
When a preliminary water-using network is obtained with a synthesis approach, the network can be further simplified to reduce the interconnection number by shifting the source streams. In this paper, a mass-load based source shift algorithm is proposed to simplify water-using networks. A few examples are investigated to show the method proposed. The approach proposed in this work is simpler than the...
Bayesian network is an uncertainty inference network based on probability. Its structure learning is one of the main research techniques in the field of data mining and knowledge discovering, while constructing Bayesian network structures from data is NP hard. According to the information theory and conditional independence test, a new algorithm is presented for the construction of optimal Bayesian...
Time series trend extraction is of great interest in data mining research recently. For example, it can be applied in system monitoring to detect faults and abnormalities in process industry and medical care. In this paper, a trend extraction algorithm based on variable time window length median filter is presented. The trend filtered can not only reflect the basic geometry of noised signal, but also...
Conceptual design of mechanical transmission system is an early stage in the product design process, which has an essential effect on product innovation. This paper is devoted to presenting a systematic approach to automated conceptual design of multiple input and multiple output mechanical transmission system, based on the functional decomposition strategy. The transmission functional representations,...
Aiming at existing examination arrangement algorithm lacks of application value due to its too ideal conditions, this paper presents a improved algorithm based on coloring theory and greedy method, which realize automated examination arrangement by allocating resources such as examination time and classrooms by stages. The algorithm can solve kinds of forced/feasible constraints and satisfies users.
In this paper the defeat of product configuration method based the problem of restriction- satisfied is analyzed. Aiming to the problem of low quality of solution, big algorithm space and low computing speed, a dynamic product configuration method based on ant colony algorithm is proposed. This method adopts ambiguous integrated judgment and other algorithm to build the filter at first. Then, through...
Recovering software architecture from a software system is a good manner to understand and maintain it, and has great significance for legacy systems whose problem is a lack of information for maintenance and evolution. Recently, many clustering algorithm have been employed for software architecture recovery. To increase the recovering accuracy and enhance the effectivity, an improved hierarchical...
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