254 research outputs found
DR. TAHIR TAUNSVI'S WORK ON MASOOD HASSAN RIZVI ADEEB
No full textDr. Tahir Taunsvi is a well-known and acclaimed researcher, critic, and poet of Urdu language and literature. His, more than seventy remarkable books (compilations and compositions) are a great contribution to Urdu research and criticism. He has also written more than three hundred valuable research articles. He introduced many literary personalities to the arena of the Urdu language and literature. Prominent Indian researcher and critic Syed Masood Hassan Rizvi Adeeb and his literary dimensions are an important field of Dr. Tahir Taunsvi’s research work. In this article, the authors have presented an analytical study of the following four research books of Dr. Tahir Taunsvi. Masood Hassan Rizvi Adeeb: Hayat Aur Karnamay, Lakhnawyat_e _Adeeb, Razm Nama Anees O Dabeer Taaruf O Taqabal, Masood Hassan Rizvi Adeeb, Kitabyaat. In these detailed and comprehensive research books, the author has unfolded the life history, different literary dimensions (especially, as a critic, researcher, and poet), and the worth of literary achievements of Syed Masood Hassan Rizvi Adeeb. This study not only unveils the salient features of these exceptional research books of Dr. Tahir Taunsvi but also throws light on the multidimensional literary aspects of renowned writer Masood Hassan Rizvi Adeeb
A hybrid network IDS for protective digital relays in the power transmission grid
No full textIn this paper, we propose a novel use of network intrusion detection systems (NIDSs) tailored to detect attacks against networks that support hybrid controllers that implement power grid protection schemes. In our approach, we implement specification-based intrusion detection signatures based on the execution of the hybrid automata that specify the communication rules and physical limits that the system should obey. To validate our idea, we developed an experimental framework consisting of a simulation of the physical system and an emulation of the master controller, which serves as the digital relay that implements the protection mechanism. Our Hybrid Control NIDS (HC-NIDS) continuously monitors and analyzes the network traffic exchanged within the physical system. It identifies traffic that deviates from the expected communication pattern or physical limitations, which could place the system in an unsafe mode of operation. Our experimental analysis demonstrates that our approach is able to detect a diverse range of attack scenarios aimed at compromising the physical process by leveraging information about the physical part of the power system
On the Verification of Deep Reinforcement Learning Solution for Intelligent Operation of Distribution Grids
No full textCapabilities of deep reinforcement learning (DRL) in obtaining fast decision policies in high dimensional and stochastic environments have led to its extensive use in operational research, including the operation of distribution grids with high penetration of distributed energy resources (DER). However, the feasibility and robustness of DRL solutions are not guaranteed for the system operator, and hence, those solutions may be of limited practical value. This paper proposes an analytical method to find feasibility ellipsoids that represent the range of multi-dimensional system states in which the DRL solution is guaranteed to be feasible. Empirical studies and stochastic sampling determine the ratio of the discovered to the actual feasible space as a function of the sample size. In addition, the performance of logarithmic, linear, and exponential penalization of infeasibility during the DRL training are studied and compared in order to reduce the number of infeasible solutions
Optimal Coordination of Water Distribution Energy Flexibility With Power Systems Operation
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Probabilistic Impact Analysis of Residential Electric Vehicle Charging on Distribution Transformers
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