Military task programming is an important foundation in military warfare simulations. Presently, scenarios in joint military warfare are built not so good to meet the requirement of aggregate-level warfare simulations...
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Military task programming is an important foundation in military warfare simulations. Presently, scenarios in joint military warfare are built not so good to meet the requirement of aggregate-level warfare simulations and the requirement of intelligent decision in real time simulations. A method based on FSM model of aggregate-level military warfare decision-making and vehicle-level action decision-making is proposed in this paper. the programming process of joint military warfare with decision-making functions can be realized through the programming of these two levels, and the dynamic decision-making and execution of mission can be completed successfully.
this paper describes a new approach to converged communication and computer networks. It was designed a new architecture of nodal active network element that is powerful enough and supports priority processing of diff...
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ISBN:
(纸本)9781424442348
this paper describes a new approach to converged communication and computer networks. It was designed a new architecture of nodal active network element that is powerful enough and supports priority processing of different types of connection. It is exactly the missing support of priority processing that constitutes the greatest drawback of the majority of present-day active network elements. the proposed new architecture is based on the technology of artificial neural networks. Neural networks are used to optimize switching input requirements to outputs. this paper also describes design and computer simulations of a new architecture network element, based on artificial neural network technology withthe support of priority processing for different connection types. As an example of a network element was selected switching area. this network element with optimized switching area is able to transfer large data quantity with minimum delay. Architecture of network element, that contains artificial neural network for optimized priority switching is described in this paper. It describes implementation of neural network in control process for data units switching. the programming language MATLAB 7.0 was used for software simulation. Network elements with new architecture, which uses a neural network, as well as intimated simulation, are suitable for working for example in personal wireless network communication systems.
In this paper, we develop a formal model of planning for an agent that is operating in a dynamic and incompletely known environment. We assume that boththe agent's task and the behavior of the agents in the envir...
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the use of centrifugal spreaders for application of granular fertilizers raises concern about application accuracy. these spreaders are capable of distributing fairly uniform deposits with regularly-spaced parallel tr...
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the use of centrifugal spreaders for application of granular fertilizers raises concern about application accuracy. these spreaders are capable of distributing fairly uniform deposits with regularly-spaced parallel tramlines but lead over and under fertilizer application when distances separating the successive tractor trajectories are not constant or if paths are not parallel between them. the aim of this study is to propose an optimisation-based method to compute optimal variables for uniform fertilizer application. Mechanical constraints are also introduced so that the calculated parameters can be afterwards used as reference variables for the control of the spreader. the resulting improvements are illustrated by numerical examples for a field with geometrical irregularities.
Autonomous intelligent agents paradigm has encouraged robotic researches to take another step forward in the design of control architectures replacing modules with agents. this paper presents a logical fusion between ...
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ISBN:
(纸本)9783540886358
Autonomous intelligent agents paradigm has encouraged robotic researches to take another step forward in the design of control architectures replacing modules with agents. this paper presents a logical fusion between Bayesian theory and artificial intelligent agents, showing a new intelligent Bayesian agent architecture oriented towards Bayesian robotics. To define this architecture we will provide a common framework for developing intelligent agent applications using Bayesian theory. We will also review some of the most important Bayesian agent applications and we will compare them with our model. Finally, a simple robotic application will be provided as a proof of concept of the presented architecture.
UML diagrams arc used to model real-world ideas and help users understand complex programming concepts. Developers and writers need to produce well-formed UML diagrams that can convey these ideas, and that are suitabl...
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ISBN:
(纸本)9781605580838
UML diagrams arc used to model real-world ideas and help users understand complex programming concepts. Developers and writers need to produce well-formed UML diagrams that can convey these ideas, and that are suitable for publishing in technical documentation. this paper examines the evolution of UML diagrams and tooling, with a focus on practices at the IBM Toronto Software Laboratory. It reviews the findings of two previous Papers, which described obstacles to creating UML diagrams for publication and outlined numerous steps to help developers, writers, and graphic designers create useful UML diagrams. It shows how developers at the IBM Toronto Software Laboratory have added new features to existing modeling programs to improve the usability and design functions in IBM's suite of modeling tools. It describes the relative strengths and weaknesses of the two main types of graphics, and illustrates the beneficial impact of the addition of the SVG graphic export function to IBM's tooling. It shows how these functional improvements have resulted in a higher quality of UML diagrams submitted for publication by both technical and non-technical users.
functional requirements must be tested to check if the system executes as the end user expects. Validation environments must be able to test multiple kinds of applications that belong to different domains and technolo...
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ISBN:
(纸本)9780769533032
functional requirements must be tested to check if the system executes as the end user expects. Validation environments must be able to test multiple kinds of applications that belong to different domains and technologies. Since this wide validation spectrum is very difficult to cope with, validation environments are usually specialized in domains, programming languages, technologies, etc. However, it is possible to identify that the validation processes for different systems share a set of commonalities and variability points. this is a perfect framework to apply the software product line approach to develop domain specific validation environments for testing specific products. In this paper we present our experience of applying software product lines to support the variability of validation environments. We illustrate our product-line experience of developing two domain-specific validation environments for two different case studies: digital TV and slots machines.
A Hybrid Genetic programming (HGP) algorithm is proposed for optimal approximation of high order and sparse linear systems. Withthe intrinsic property of linear systems in mind, an individual in HGP is designed as an...
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ISBN:
(纸本)9783540896937
A Hybrid Genetic programming (HGP) algorithm is proposed for optimal approximation of high order and sparse linear systems. Withthe intrinsic property of linear systems in mind, an individual in HGP is designed as an organization that consists of two cells. the nodes of the cells include a function and a terminal. All GP operators are designed based on organizations. In the experiments, three kinds of linear system approximation problems, namely stable, unstable, and high order and sparse linear systems, are used to test the performance of HGP. the experimental results show that HGP obtained a good performance in solving high order and sparse linear systems.
To diminish the discontinuity and divergence or infinitynorm torque minimization scheme, a bi-criteria weighting scheme is proposed for online redundancy resolution or redundant robot arms. Such a scheme can easily be...
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ISBN:
(纸本)9781424420957
To diminish the discontinuity and divergence or infinitynorm torque minimization scheme, a bi-criteria weighting scheme is proposed for online redundancy resolution or redundant robot arms. Such a scheme can easily be reformulated into a quadratic program (QP) subject to equality, inequality and bound constraints, To solve this QP problem online, a primal-dual dynamical-sytem solver is further presented based on linear variational inequalities (LVI). Compared to previous research work, the adopted QP-solver has simple piecewise-linear dynamics, and does not entail real-time matrix. inversion. Computer simulations are performed based on a PUMA560 manipulator to verify the performance and effectiveness or Lite propose torque-optimization method.
Mixed multi-unit combinatorial auctions are combinatorial auctions in which the auctioneer and the bidders negotiate over transformations rather than over simple goods. By proposing a transformation a bidder is offeri...
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