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Local grids featuring multiple carriers (electricity, gas and district heating) have attracted a certain degree of attention in the last few years, since technologies and components for the efficient conversion and storage of energy in different forms are becoming increasingly available. Grids of this type interact through energy hubs, i.e. grid nodes featuring connections to multiple energy carriers...
People are suffering from a range of risks in the ubiquitous networks of current world, such as rumours spreading in social networks, computer viruses propagating throughout the Internet and unexpected failures happened in Smart grids. We usually monitor only a few users of detecting various risks due to the resource constraints and privacy protection. This leads to a critical problem to detect compromised...
The expansion of the Internet of Things (IoT) has resulted in a complex cyber-physical system of systems that is continually evolving. With ever more complex systems being developed and changed there has been an increasing reliance on simulation as a vital part of the design process. There is also a growing need for simulation integration and co-simulation in order to analyse the complex interactions...
This paper presents a new algorithm for finding the parameters that characterize a photovoltaic panel by using the Glowworm Swarm Optimization algorithm. This new algorithm shows great simplicity, flexibility and precision, being able to precisely locate the global optimum point or multiple global optimum points, independently of the initial conditions. The approach here adopted allows the utilization...
The paper considers the problem of decision support systems constructing for solving the problems of modeling and estimating selected types of risks with the possibility for application of alternative data processing techniques, modeling and estimation of parameters and states for the processes under study. The system proposed has a modular architecture that provides a possibility for easy extension...
Today, most large and complex systems such as aircrafts or power grids integrate physical and human aspects with computing and networking, and therefore constitute so-called socio-cyber-physical systems (SCPS). Their engineering, from prospective and conceptual studies (to determine the scope of the system) through design and construction to operation, maintenance and upgrades, necessitates the cooperation...
This paper illustrates the modelling and simulation (M&S) based engineering approach developed in the framework of ITEA2 project MODRIO to the case of a Backup Power Supply. This system integrates physical and human aspects with computer-based controls, and is therefore a so-called socio-cyber-physical systems (SCPS). This system is relatively simple in terms of physics but is a realistic example...
Modeling IoT systems behaviors and architectures requires new approaches to be elaborated for handling the challenging issues such as: large scale interaction and real-time reconfiguration. This can help both during the design and the operation steps for ensuring a correct design and for delivering a performant service. Different studies have been recently conducted and new initiatives, at the national,...
Coriolis vibrating gyroscopes can be modeled by a planar resonator, using masses, springs and damping. In this paper, the corresponding equations are studied in order to characterize real vibrating cells. It is shown how to present the problem to allow efficient numerical simulations and analytic developments. In particular, the use of the method of Averaging is fundamental, simplifying most of the...
Due to the larger scale of power systems and larger number of converters involved, the simulation of power systems becomes slower, with lower accuracy. FPGA is the new generation computation hardware, which is an integrated circuit designed for a special function. However, FPGA simulation still requires the parallel technology to extend the simulation scale. Network tearing interfaces can be used...
Military modelling and simulation plays a key role in troops training as well as in verification of military scenarios. Most of topics in the modelling of military performance were already successfully implemented into the simulators (like troops moving, fighting, aircraft simulation, etc.) however the simulation of surface (ground) based air defence systems capabilities are not fully developed now...
Statistical shape models have become a widely used tool in computer vision and medical image analysis where they are of considerable interest when studying shape variations in anatomical shapes. The objective of this article is to build a 3D statistical shape modeling for a given data; the implemented process goes through those basic steps, first collect the given data then apply the alignment algorithm...
This paper presents a methodology for modelling of multichip Silicon Carbide (SiC) power modules where multi-domain effects (electrical, thermal, and electromagnetic) in the power module can be accurately observed with minimal computational cost. Commercially available numerical analysis software are capable of showing these effects but there is currently no commercially available software package...
We introduce a preferences-based itemset mining framework. Preferences are encoded by a penalty function over the transactions in a database. We define an itemset mining problem where we associate to each transaction a penalty value. This problem consists in generating the frequent itemsets with a maximum penalty threshold. We then provide a propositional satisfiability based encoding. We extend the...
In this paper, a methodology to develop SPICE-based models of complex magnetic devices is presented. The proposed methodology is based on a reluctance equivalent circuit, which allows the user to study both the magnetic and electric behavior of the structure under any operating conditions. The different elements required to implement the reluctance model, namely, constant reluctances, variable reluctances,...
This paper aims to present a methodology that helps improving systems modelling by using Process Integration and Design Optimization technologies. Then, the methodology has been applied on an automotive case study: the improvement of the hybrid vehicle TOYOTA PRIUS III modelling. This work has been carried out in the context of the international research program PLACIS (PLAteforme Collaborative d'Ingénierie...
Centrifugal pumping systems are the common hydraulic devices mainly driven by electric drives. Their efficiency varies significantly with the change of working point location that depends on the positions of the performance and system curves. This paper is devoted to the study of the pumping system efficiency at throttling and speed control. A model-based calculation method for the single-drive centrifugal...
Existing data modeling notations and methods of database development are dedicated to technicians. At the same time, there is a tendency to involve the end-user in the development process. This requires the creation of new modeling notations and development methods for databases area. These tools should be understandable both to end-users and to developers. Because of unified understanding, it is...
The constant development of information technology and communication has opened up new learning opportunities, and it has recognized the potential of new technologies and ways they can be exploited, therefore, it has increased the number of digital technology applications that support teaching and learning. In these cases, Technology has also had a great boom to support collaborative learning. Taking...
This paper presents an alternative model of a grid interactive photovoltaic (PV) system which can be used for characterising the harmonics from a PV system when connected to a distorted and undistorted network respectively. The approach uses an orthogonal series function in modelling the different sections of a practical PV system thus yielding a complete harmonic domain model. The proposed model...
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