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The vector space model is one of the most common information retrieval (IR) methods for text document search. The cosine of the angle or the Euclidean distance between the query vector and each document vector is commonly used to measure similarity for query matching. Even though the vector space model starts with a term-by-document matrix, it inevitably loses the information of relations between...
Load flow method suitable for both radial and weakly-meshed network structures common to distribution systems is proposed in this paper. Here the concept duality of network has been exploited to obtain the solution. Unique data feeding technique and creation of single matrix [branch-voltage drop to node-current] based on dual nature of the electrical network are used in the procedural technique. A...
The paper discusses the significance of training new military personnel to accelerate the development of navy weapon and equipment system. In order to cultivate more new military personnel, it is an important part to enhance the teaching quality in practical process. Meanwhile, to effectively evaluate students' learning effect in practical process is also the important measure to cultivate personnel...
This paper proposes an approach to process progressing scheduling problems for repetitive systems with subsequent job constraints and resource conflict resolution. We use max-plus algebra for modeling and formulation of the systems, an approach for performance evaluation or controller design for this type of systems. Recently, we have obtained a backward state-space representation for calculating...
The Authors present a new approach of finding out unreasonable activity loops. The approach was named as SRM (string reachable matrix) which intended to analyze business processes effectively. This matrix stemmed from reachable matrix and could show activity loops and paths directly in elements of the matrix. The definition, operating rules of SRM and others related to SRM were also described in this...
A classical model for substantiating decisions has as input data the matrix of the results obtained for each criterion and each decision variant. Often, the values of the results are uncertain because they are expressed by statements such as "the value is around b, certainly it is not less than a and does not exceeds c", (alesblesc), which is mathematically modelled by triangular fuzzy numbers...
When the Kalman-Yakubovich matrix has a unique solution, in this note an explicit solution is proposed. This solution is expressed as a polynomial of the coefficient matrices of the matrix equation. Based on this result, the unique solution of the Stein equation is also established. The proposed approach does not require the coefficient matrices to be in arbitrary canonical form.
This paper describes a new algorithm for the evaluation of alternatives by a group of decision makers according to multiple criteria. The algorithm is motivated by the need to quickly evaluate a large number of ideas in the early stages of an innovation process, when little or no information about the ideas is available. The algorithm is based on a Markov chain model which is derived from pairwise...
In this paper, magnetic field integral equations (MFIE) are applied to simplify the complex computation caused by the calculation of shadowing effect in the common iterative physical optics method (IPO). Furthermore, in order to avoid the inverse operation of large matrix in the discretization of MFIE, three-dimensional point functions are applied as the weighting functions while RWG (Rao-Wilton-Glisson)...
In this paper we present a method of estimating the performance of a classifier system based on a reported confusion matrix. We develop a method of fitting parameters to observed confusion matrices, such that the expected performance of non-forced decision detection versus the probability of not-in-library reports can be estimated based on the forced decision confusion matrix. The approach also lends...
Single pulse UWB detectors do not have good performance as two-pulse or multi-pulse detectors. The more signals we use the better performance we have if we use optimum detectors. In this paper, we derive two-pulse optimum detectors for different target fluctuation models and extend them to multiple pulses. In each section of fluctuation model, suboptimum detectors are proposed to have good performance...
We consider linear fixed point equations and their approximations by projection on a low dimensional subspace. We derive new bounds on the approximation error of the solution, which are expressed in terms of low dimensional matrices and can be computed by simulation. When the fixed point mapping is a contraction, as is typically the case in Markovian decision processes (MDP), one of our bounds is...
A discussion on second order Krylov subspace methods for the reduction of second order systems by applying a direct projection to the original model is presented with the following new results: (i) matching the moments about different expansion points, simultaneously, (ii) matching the Markov parameters, (iii) conditions to preserve stability of the original system, (iv) reducing second order systems...
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