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Smart grids rely on the integration of distributed energy resources towards an intelligent and distributed manner to organize the electrical power grid enabled by a bidirectional flow of information to improve reliability and robustness, fault detection and system operation, and plug-and-playability of energy devices. The integration of information and communication technologies (ICT), one of the...
Questions of computer realization for new class — three levels of adaptive manufacturing control system were considered. They were marked with special features that allow to form demands to methods of process description. It was shown that suggested homogeneous method suits mathematical description perfectly. The method consists of static linear programming task and differential equations. Local methods...
Modeling and Simulation (M&S) has become an essential tool in the development, testing and verification of operational software in a complex multi-domain, multi-threaded heterogeneous system of systems environment. The complex systems of today encompass mix of hardware sub-systems (with varying degree of capabilities), software environments (comprising a plethora of development environments, operating...
In this paper the adaptive mesh model is studied. First we introduce the 3 subdivision method which is already exist. Second, in order to make the simulation result more realistic and reasonable, we extend the traditional scheme and apply two different subdivision schemes on the triangular mesh. At last, a new mesh coarsening method is proposed, with the help of this method, we build a extended adaptive...
There arises the need in many wireless network applications to infer and track different models of interest. Some nodes in the network are informed, where they observe the different models and send information to the uninformed ones. Each uninformed node responds to one informed node and joins its group. In this work, we suggest an adaptive and distributed clustering and partitioning approach that...
The authors present an iterative and incremental development methodology for simulation models in network engineering projects. Driven by the DEVS (Discrete Event Systems Specification) formal framework for modeling and simulation, they aim to assist network design, test, analysis, and optimization processes. A practical application of the methodology is presented for a case study in the data acquisition...
Fuzzy logic systems can approximate any nonlinear function and they can also be successfully applied to system modeling. This paper describes an efficient fuzzy identification method which can be applied to nonlinear dynamical systems. The proposed method is constituted of three steps: in the first step, an ordinary fuzzy identification technique is applied, steps 2 and 3 are introduced in order to...
Legal policy simulation is an important decision-support tool in domains such as taxation. The primary goal of legal policy simulation is predicting how changes in the law affect measures of interest, e.g., revenue. Currently, legal policies are simulated via a combination of spreadsheets and software code. This poses a validation challenge both due to complexity reasons and due to legal experts lacking...
Worldwide electricity markets have been evolving into regional and even continental scales. The aim at an efficient use of renewable based generation in places where it exceeds the local needs is one of the main reasons. A reference case of this evolution is the European electricity market, where countries are connected, and several regional markets were created, each one grouping several countries,...
A Bio-Impedance Signal Simulator (BISS) is developed based on the models of the impedance cardiography (ICG) and impedance respirography (IRG) signals. With the aim of imitating the real ICG and IRG phenomena, the ICG and IRG signals are modelled and combined with motion artefacts and Gaussian noise. The simulator allows the user to load different predefined human activity states such as resting,...
Parameter study is a widely spread type of scientific research methodologies used with modern High Performance and High Throughput Computing infrastructures such as Clouds. More and more often, parameter study experiments are oriented towards generating large amount of data describing complicated processes and phenomena. It becomes clear that new software for supporting such large-scale experiments...
The proliferation of the RFID (Radio-Frequency IDentification) technology in the last decade shows its importance as effective solution for a large variety of application scenarios, such as monitoring, homeland security, healthcare, logistic and last but not the least Internet of Things. Actually, an accurate RFID modeling, optimization and performance analysis via simulation is strongly desired....
Today's Enterprises exist in highly dynamic environment. Simulation could be used to reveal complex dynamic behavior of enterprise, especially for playing out dynamic what-if scenarios, in determining enterprise's response to a change. Instead of relying on guidelines for simulating prescriptive models of enterprise as in other approaches including our own in which we simulated intentional models...
With the widely use of CAN in the industrial control field, means of transportation, and so on, it is significant to improve the performance of the corresponding simulation platform to make them be more useful for simulating the systems using CAN cards. Firstly, this paper introduces the overall structure of the KD-DRT simulation platform and the characteristic of CAN. Second, determines the form...
The literature rarely considers an innovation network as a complex adaptive system. In this paper, theories of complex adaptive systems research are employed to model and analyze intra-organization networks, inter-organization networks as well as their interaction mechanisms in the whole innovation context, with a conceptual framework proposed and presented. Flexible multi-agent based modeling, smart...
Developers of embedded systems are driven to constantly improve product quality, reduce cost, and rapidly deliver reliable working code. The embedded software domain applies constraints which can hinder agile methodologies commonly used to achieve such benefits. Simulation-based software development is one proven method that addresses these constraints. When tailored to work in conjunction with agile...
This paper presents a method for real-data validation of simulation models in a function-based modular framework. The system to be simulated is separated into singular subsystems called functions. The function-based modular framework guarantees that the interfaces of the functions are consistent, independent of any simulation tool, with which they are simulated, and simulation purpose. To validate...
We explore the problem of characterizing fragments using Par-aView in situ with an explosion simulation. By running in situ we can see a much higher temporal view of the data as well as potentially compress the output to only those statistics about fragments we care about. However, the fragment finding must be able to scale as well as the simulation. In order to achieve the necessary scales, we borrow...
As high performance computing approaches exascale, CPU capability far outpaces disk write speed, and in situ visualization becomes an essential part of an analyst's workflow. In this paper, we describe the ParaView Coprocessing Library, a framework for in situ visualization and analysis coprocessing. We describe how coprocessing algorithms (building on many from VTK) can be linked and executed directly...
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