Saurabh Awasthi^*, Gagan Singh, Nafees Ahamad

Energy Engineering, Vol.120, No.4, pp. 811-829, 2023, DOI:10.32604/ee.2023.026863

Abstract A distributed generation system (DG) has several benefits over a traditional centralized power system. However, the protection area in the case of the distributed generator requires special attention as it encounters stability loss, failure re-closure, fluctuations in voltage, etc. And thereby, it demands immediate attention in identifying the location & type of a fault without delay especially when occurred in a small, distributed generation system, as it would adversely affect the overall system and its operation. In the past, several methods were proposed for classification and localisation of a fault in a distributed generation system. Many of those methods were… More >

Waqar Mehmood¹, Abdul Waheed Khan², Waqar Aslam³, Shafiq Ahmad⁴, Ahmed M. El-Sherbeeny⁴, Muhammad Shafiq^5,*

Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 441-454, 2022, DOI:10.32604/iasc.2022.016116

Abstract Software Configuration Management (SCM) aims to control the development of complex software systems. Traditional SCM systems treat text files as central artifacts, so they are mainly developed for source code. Such a system is not suitable for model-based software development with model-centric artifacts. When applying traditional systems to model-based software development, new challenges such as model mapping, differentiation, and merging arise. Many existing methods mainly use UML or domain-specific languages to determine model differences. However, as far as we know, there is no such technology for System Modeling Language (SysML) models. SysML covers the entire development life cycle of various… More >

Qiang Zhi^1,*, Zhengshu Zhou^2,3

Computer Systems Science and Engineering, Vol.40, No.1, pp. 357-374, 2022, DOI:10.32604/csse.2022.018759

Abstract Enterprise Architecture (EA) has evolved based on the practice of information systems architecture design and implementation. EA is a rigorous description of a structure, and the objectives of EA modeling not only include clarifying corporate strategies, visualizing business processes, and modeling information systems to manage resources but also include improving organizational structures, adjusting information strategies, and creating new business value. Therefore, EA models cover a wide scope that includes both IT and business architectures. Typically, EA modeling is the initial and most important analysis step for researchers, architects, and developers. ArchiMate is the dominant modeling language for EA and it… More >

T. V. Viknesh¹, V. Manik,an

CMES-Computer Modeling in Engineering & Sciences, Vol.113, No.1, pp. 109-116, 2017, DOI:10.3970/cmes.2017.113.107

Abstract The working of Canonical switching cell (CSC) converter was studied and its equivalent circuit during ON and OFF states were obtained. State space model of CSC converter in ON and OFF states were developed using the Kirchhoff laws. The state space matrices were used to construct the transfer functions of ON & OFF states. The step response of the converter was simulated using MATLAB. The step response curve was obtained using different values of circuit components (L, C1, C2 and RL)and optimized. The characteristic parameters such as rise time, overshoot, settling time, steady state error and stability were determined using… More >

G. Desmeulles, S. Bonneaud, P. Redou>, V. Rodin, J. Tisseau

CMES-Computer Modeling in Engineering & Sciences, Vol.47, No.3, pp. 299-330, 2009, DOI:10.3970/cmes.2009.047.299

Abstract Virtual reality can enable computer scientists and domain experts to perform in virtuo experiments of numerical models of complex systems. Such dynamical and interactive experiments are indeed needed when it comes to complex systems with complex dynamics and structures. In this context, the question of the modeling tool to study such models is crucial. Such tool, called a virtuoscope, must enable the virtual experimentation of models inside a conceptual and experimental framework for imagining, modeling and experimenting the complexity of the studied systems. This article describes a conceptual framework and a meta model, called RéISCOP, that enable the construction and… More >