A novel cell formation algorithm has been introduced in this paper. The motivation of the research is the lack of attention in important information, e.g., production demand (or part-volume), in the most of the cell f...
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ISBN:
(纸本)9781424441549
A novel cell formation algorithm has been introduced in this paper. The motivation of the research is the lack of attention in important information, e.g., production demand (or part-volume), in the most of the cell formation techniques. For example, one of the crucial steps in the design of a cellular manufacturing system is the cell formation problem, which involves grouping the parts into part families and machines into machine groups. It has been found that 80% of the cell formation problems consider only 0-1 (binary) machine-part incidence matrix that ignores the sequence of operations in manufacturing parts. Further, literature reveals that only a few studies consider alternative routing. In order to cope with this situation a new cell formation algorithm, considering the factors sequence of operation, alternative routing and part-volume, is introduced.
This article presents a novel framework of image sensing based on the time-domain correlation image sensor. The correlation detection mechanism of the sensor realizes pixel-parallel, selective detection of wideband mo...
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In the paper we bring attention to description of complex systems in terms of self-organization processes of prime integer relations. Revealed through the unity of two equivalent forms, arithmetical and geometrical, t...
In the paper we bring attention to description of complex systems in terms of self-organization processes of prime integer relations. Revealed through the unity of two equivalent forms, arithmetical and geometrical, the description may have the potential for the unification of quantum mechanics and general relativity. Remarkably, based on integers and controlled by arithmetic only such processes can define nonlocal correlations between parts of a complex system and the geometry of their spacetimes.
The experiments aimed to compare data driven soft computing models for the valuation of residential premises were conducted using the KEEL tool (knowledge extraction based on evolutionary learning). Twelve regression ...
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The experiments aimed to compare data driven soft computing models for the valuation of residential premises were conducted using the KEEL tool (knowledge extraction based on evolutionary learning). Twelve regression algorithms were applied to actual data sets derived from the cadastral system and the registry of real estate transactions. The 5times2-fold cross validation and nonparametric statistical tests were applied. The results proved the usefulness of the tool to carry out laborious investigation in a relatively short time. Further research is needed to determine to what extent data coming from such sources allow to build the real estate valuation models.
In this paper, we present an extension to MS Office that enables users to search and retrieve document content units (e.g., paragraphs, images, tables, slides, etc.) from documents, which are stored on user's indi...
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The automatic programming system has been considered by means of which it becomes easier to carry out traditional programming stages. There is discussed both recursive forms: parallel, interrecursion and recursion of ...
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The automatic programming system has been considered by means of which it becomes easier to carry out traditional programming stages. There is discussed both recursive forms: parallel, interrecursion and recursion of high level that exist for functional programming languages and induction methods for the purpose of their verification. The way how to present imperative languages easy and double cycles by means of recursion forms is shown, the possibility of verification has been studied for each recursion form.
Recent work into knowledge-mining algorithms has found that second order models can be used to approximate the inputs to systems by first calculating their time trajectories, and then obtaining the causal parameters o...
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This paper presents a decision procedure for a certain class of sentences of first order logic involving integral polynomials and the exponential function in which the variables range over the real numbers. The inputs...
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ISBN:
(纸本)9781595939043
This paper presents a decision procedure for a certain class of sentences of first order logic involving integral polynomials and the exponential function in which the variables range over the real numbers. The inputs to the decision procedure are prenex sentences in which only the outermost quantified variable can occur in the exponential function. The decision procedure has been implemented in the computer logic system REDLOG. Closely related work is reported in [2, 7, 16, 20, 24].
Up to now many different definitions of agents were presented and several different approaches describing agency can be distinguished. Reactive agents are one of a kind;basically, they rely on reactivity and they have...
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ISBN:
(纸本)9780980326727
Up to now many different definitions of agents were presented and several different approaches describing agency can be distinguished. Reactive agents are one of a kind;basically, they rely on reactivity and they have to react to some changes which have occurred and have been registered. Active database management system is a conventional database system capable of reacting to some events of interest as well. Up to now it has been recognized that both types of systems rely on reactivity, but only a few general papers were written on the subject. That is why we will compare these two fields in a detail in order to determine whether active databases are suitable to implement reactive agents (or not).
Recent work into knowledge-mining algorithms has found that second order models can be used to approximate the inputs to systems by first calculating their time trajectories, and then obtaining the causal parameters o...
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Recent work into knowledge-mining algorithms has found that second order models can be used to approximate the inputs to systems by first calculating their time trajectories, and then obtaining the causal parameters of these trajectories. In this paper a new method of text analysis is proposed, and the application of knowledge-mining algorithms to text analysis is investigated. Mathcad is used to model relevant knowledge mining algorithms and test their performance with signals derived from ASCII codes of text excerpts. For the first time, time-varying signals relating to a series of input values have been analysed with knowledge mining algorithms. The Mathcad program which does this has been embedded into a user interface in MS Access to allow ease of text selection by users and automatic calculation of ASCII values for analysis.
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