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Based on core problems of personalized recommendation, traditional collaborative filtering recommendation algorithm and theories of AprioriAll algorithm based on association rule, it is proposed to build two-dimension user interest model combining user's implicit and explicit interests and increase the threshold value of third dimension time in this paper t o realize the real-time personalized recommendation...
In a time when volatile data is in constant growth, the importance of keyword extraction becomes particularly evident. Keywords can quickly identify, structure and reveal potentially worthwhile information. The quality of automatically extracted keywords reflects the individual characteristics of the various retrieval approaches that may be used for extraction. A combinatorial approach using multiple...
Spatial data analysis and mining is more difficult to put into practice than classical data analysis due to complexity of geographical phenomena. This paper preliminary analyzed main problem faced by SDM, provided a basic framework for SDM with spatial statistical methods. Logistic regression is popular in LUCC for building relationships between land use types and influential factors by spatial sampling...
Recently, there has been a growing interest in multiway probabilistic clustering. Some efficient algorithms have been developed for this problem. However, not much attention has been paid on how to detect the number of clusters for the general n-way clustering (n ≥ 2). To fill this gap, this problem is investigated based on n-way algebraic theory in this paper. A simple, yet efficient, detection method...
Multi-agent systems (MAS) have received an increasing attention over the past few years. Here an MAS is a system consisted of multiple interacting intelligent agents. This paper further investigates the consensus of MAS with an active leader and asymmetric adjacency matrix. In particular, the state of the active leader is changing and unmeasured. Under some suitable conditions, we have proved that:...
We consider the problem of observer design for systems with periodic disturbances in the system outputs. Assuming that the period T of the disturbance is known, we introduce the idea of mixing past and present output data to remove the disturbance, by defining a new output as the difference between the original output at time t and at time t-T .We determine the exact conditions under which the system...
Burst proneness of coal seam is a necessary condition for rock burst, which tends to study the burst proneness of rock burst mechanism of coal seam. And it is the premise of forecasting the rock burst. Based on mathematical analysis, the primary components analysis (PCA) is used to analyze the burst-prone indexes of coal seam. On the basis of PCA model and scores by experts, some results are computed,...
This paper considers formation shape control of a team of four agents in the plane, motivated by an example from [1]. We utilize bidirectional, gradient-based interagent distance control laws which are designed so that the agents cooperatively achieve a specified desired formation shape. When every interagent distance is actively controlled (i.e. the information architecture is a complete graph),...
We consider the problem of analysis and control of spatially invariant discretely distributed systems. It is well known that for certain types of subsystem models, the interconnected systems can be represented by infinite dimensional Laurent operators with rational symbols. Using Fourier techniques, the resulting analysis and control problems can be written as finite dimensional eigenvalue inequalities,...
This paper gives a new computational method of the Hankel norm for the class of pseudorational transfer functions. This class and the obtained method have the advantage that they allow us to deal with a large class of systems that were not treated in the literature, for example, general retarded or neutral delay differential systems. An easily computable approximating sequence is obtained, which converges...
This paper explores the experimental design and identifiability problems for both closed and open quantum systems. In general, the identifiability of quantum systems depends on both the choice of model sets and experimental design. The limits of identifiability in certain experimental settings and ways to improve the identifiability of model parameters by changing experimental conditions are investigated...
In this paper, we propose an observed-based algorithm to estimate the time course of a set of not-directly measurable gene expressions for the network motif of the multi-output feed-forward loop (MO-FFL), widespread in gene transcription networks of many organisms. The MO-FFL has been modeled according to a standard ordinary differential equations approach, providing a nonlinear model in the state...
In this paper we present an application of a recently developed strategy for robust distributed controller design for formations and show a way of including performance requirements in the design. The proposed synthesis method guarantees stability for all possible formations and arbitrary fast changes in the communication topology. The number of agents in the formation can also be chosen arbitrarily...
The Two-Stage Algorithm (TSA) has been extensively used and adapted for the identification of block-oriented nonlinear systems including Hammerstein systems. This paper revisits an optimality result established by Bai in 1998 showing that the TSA provides the optimal estimation of a bilinearly parameterized Hammerstein system in the sense of a weighted nonlinear least-squares (LS) criterion formulated...
For multitarget tracking problems, occlusions between targets are quite tough tasks. We present a novel algorithm to solve such problems. For the two targets in occlusions, Fukunaga-Koontz transform is exploited to achieve the projection matrix, with which the two targets are projected into a low dimensional space where they are quite distinguishing. To solve the problem of the change of target appearance,...
AHP (analytic hierarchy process) has been widely used in decision making. Inner dependence method AHP is one technique even in case of criteria have dependency. However using original AHP or Inner dependence method, the results often lose reliability because the comparison matrix does not always have sufficient consistency. In these cases, fuzzy representation for weighting criteria and alternatives...
A nonlinear integral equation generalizing that arisen in the antenna synthesis problems is investigated. The semi-analytical solutions are found. They parameters are determined from an equation system consisting of a linearized integral equation and finite-dimensional system of transcendental ones. Branching of the solution is investigated. A particular case related to Fourier transform is numerically...
The nonlinear synthesis problem of a plane equidistant antenna array according to the given requirements to an amplitude directivity pattern is considered. When finding the branching lines of solutions of nonlinear integral equations obtained as a result of solution of the synthesis problem, the two-parameter eigenvalue problems with spectral parameters analytically including in a kernel of the linearized...
Very often, huge uncertain information exists in multi-dimension multi-objective fuzzy optimum dynamic programming. Failure to take into consideration of this uncertain information will often lead to inaccurate results. Fully considering this kind of information, this paper proposes a multi-dimension multi-objective fuzzy optimum dynamic programming method under circumstances of complicated information.
This paper is devoted to study the eigenvalues of the adjacency matrix for the random graph process proposed by Barabasi and Albert in [2]. While many structural characteristics of the Barabasi-Albert (BA) process are well known, analytical results concerning its spectral properties are still an open question. In this paper, we present new results regarding the distribution of eigenvalues of the adjacency...
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