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Two-phase flow measurement has attracted a major interest in the past four decades due to its wide range of applications in industry. This paper introduces a new method to separate the gas phase from the liquid phase through a blind source separation algorithm, without a separate device, based on the assumption that the two phases are separated and their independence is reflected in the statistical...
In this paper, the rank stability radius problem is proposed for a real matrix under structured scalar perturbations and some interesting results are achieved based on polynomial analysis. In addition, a computable formula and a two-step procedure are obtained which nicely solves the problem in this simple setup. Finally, these results on rank stability radius are used to estimate the stability robustness...
This paper is concerned with stability analysis of discrete-time networked control systems in the case where both input and output channels are characterized by a multiple-packet transmission policy. A necessary and sufficient condition for stability is obtained for known packet dropping probabilities. The issue of stability robustness of a system against packet dropping is discussed and addressed...
It is important to study the interface fluctuations between the two phases in a gas/liquid flow to achieve an in-depth understanding of the mixture flow and subsequent optimization of industrial processes. This paper presents a study of the interface fluctuations between the gas and liquid phases in a pipeline. Experimental data are obtained from a gas/liquid two-phase flow rig through electrical...
Mining frequent itemsets in data streams is a hot research topic in recent years. Due to the continuous, high-speed and unbounded properties of data streams, traditional algorithms on static dataset are not suitable for mining in data streams. In this paper we present bounded frequent itemsets stream (abbreviated as BFI-stream) algorithm, which uses a prefix-tree based structure, called BFI-tree,...
Time series feature extraction is a way to reveal the most important characteristics of a (or a set of) time series. It is an effective pre-processing step for many time series mining tasks such as clustering and indexing. In this paper, we propose a new qualitative feature extraction method. The method differs from most available methods in that it mainly focuses on the shape, instead of the actual...
This paper considers the linear quadratic problem with static output feedback. It is shown that an optimal solution can be successfully computed by finding the limiting solution of an ordinary differential equation which is given in terms of the gradient flow associated with the cost function. Several properties are obtained concerning the gradient flow. For example, it is shown that the flow contains...
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