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Corticomuscular coupling analysis based on multiple datasets such as electroencephalography (EEG) and electromyography (EMG) signals provides a useful tool for understanding human motor control systems. A popular conventional method to assess corticomuscular coupling has been the pair-wise magnitude-squared coherence (MSC) between EEG and concomitant EMG recordings. However, there are certain limitations...
A detailed discussion on contributions from feature attributes to the classifying attribute in the nonlinear classification model based on the Choquet integral is given in this paper. The work provides a new understanding to the geometric structure of the model with contribution rates from the feature attributes towards the classification, as well as the interaction among them.
This paper introduces Copula approach, which has been widely used in statistical field, to the construction of OLAP cubes for the first time. Based on this approach, a novel scheme is proposed to compress data and answer any OLAP query without accessing raw data. The procedure of this scheme can be generally divided into three steps. Firstly, find the proper distribution functions to fit the marginal...
For decentralized control problems with quadratically invariant information constraints, the optimal controller may be found efficiently. In this paper, we show that there are systems which are not quadratically invariant but reduce to systems that are. We call the requisite property internal quadratic invariance. We present an associated reduction procedure, and illustrate our method with examples.
The template design problem is a constrained optimization problem originated from the printing industry. It involves printing several variations of a design onto one or more stencil sheets, where the aims are to minimize the number of stencils as well as the overproduction of prints of a particular design. Over the years, exact solution methods have been used to solve the problem. These methods could...
In a previous paper, these authors showed that posets provide a useful modeling framework for a reasonably large class of decentralized control problems. In this paper we show more connections between posets and decentralized control. Firstly, we show that previously known results about systems with time delays follow naturally using the poset framework. We also mention extensions of this to infinite-dimensional...
We describe a system that successfully transfers value function knowledge across multiple subdomains of real-time strategy games in the context of multiagent reinforcement learning. First, we implement an assignment-based decomposition architecture, which decomposes the problem of coordinating multiple agents into the two levels of task assignment and task execution. Second, a hybrid model-based approach...
Daubechies & Lagarias algorithm gave the first proof regarding the convergence of the iterations producing the scaling and wavelet functions. The proof however uses advance concepts from linear algebra. Incidentally, it also uses a concept called joint spectral radius, which was introduced by Strang in 1960. The concept of joint spectral radius remained dormant for a very long time. It was only...
This paper addresses the time-delayed joint input and state estimation for discrete-time linear stochastic systems with unknown inputs. The objective is to derive an optimal joint (unknown) input and state delayed estimator to relax the unbiasedness conditions of the recently developed extended recursive three-step filter (ERTSF). The conventional rank condition for designing an unbiased minimum-variance...
A novel three degree-of-freedom (DOF) fully-decoupled parallel mechanism (PM) with one-translational and two-rotational (1T2R) DOF is presented. First, the calculation of the DOF and the input selection are performed. Next, the direct and the inverse kinematic problems are analyzed. Finally, singularity conditions are discussed systematically based on the the direct and the inverse Jacobian matrices...
This paper presents the mean-square joint state filtering and parameter identification problem for uncertain linear stochastic systems with unknown parameters in both state and observation equations, where the unknown parameters are considered Wiener processes. The original problem is reduced to the filtering problem for an extended state vector that incorporates parameters as additional states. The...
This paper describes a new methodology for designing bilateral controllers based on transparency that applies a modified scheme of control by state of convergence. The design is based on modelling the behavior of the master and slave which regard state space equations, and also taking into account that perfect transparency cannot be reached. This methodology allows designing the controllers in order...
Threat identification is one of the key problems in threat assessment, it involves many uncertain factors. Bayesian network is an effective tool for uncertainty knowledge. According to characteristics of threat identification and Bayesian network, a method of threat identification based on Bayesian network is brought forward. The situation assessment knowledge representation using the Bayesian networks,...
As a knowledge representation framework and a kind of probability inference engine, Bayesian networks are widely used in reasoning and decision-making. The situation assessment knowledge representation using the FUZZY-Bayesian networks, fuzzy logic and fuzzy inference for situation assessment were presented, and implementation of a real-time, fully functional situation assessment system were analyzed...
Although cell planning techniques have been widely applied, these formulations generally assumed static demand traffic, and either the average or worst case values are used in the design. Further, the impact of user mobility is usually ignored. We use examples to illustrate that better radio resource usage is possible by incorporating the time-varying traffic in the design, and that the user mobility...
In this contribution we present closed-form performance analysis for the problem of blind separation of correlated sources when the separation algorithm is ignorant of the source model, and assumes only scalar sources. Our data model is of one scalar source and one multidimensional source. We obtain a closed-form analytical expression for applying joint diagonalization on correlated sources. The obtained...
We develop a theory of top-K ranking for objects whose values may be uncertain, incomplete, or difficult to be characterized quantitatively, but between which some constraints may be required to be satisfied. We present our ranking theory for discrete space, continuous space, and the general case with probability distributions and complex constraints. The central question to be addressed is how to...
Conceptual design schemes of turning-milling hybrid machine tool with 3-PRS parallel mechanism was given. The kinematics characteristics of the 3-PRS parallel mechanism were analyzed. The inverse position solution was derived. And the forward position solution was got by transforming solution object method. Velocity and acceleration solution were deduced using d'Alembert's principle for passive joint...
The mathematical model of isometric polygonal curve was analyzed. To predigest the construct of isometric polygonal profile, and the realization on engineering application and the favorable of NC machining being taken into account, the practical isometric polygonal curve was put forward. The mathematical model of practical isometric polygonal was analysed, and the 2D model and solid machining process...
It is widely observed in the industry that defective dies tend to occur in groups of systematic pattern. These are so-called defect clusters. There are many proposed methods to achieve cluster classification and recognition with different degree of accuracy and limitations. Many of these methods, although powerful, generally do not actually detect the presence/absence of a cluster but simply segments...
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