Results 41 to 50 of about 2,923 (194)

A Hybrid DA-PSO Optimization Algorithm for Multiobjective Optimal Power Flow Problems

Energies, 2018
In this paper, a hybrid optimization algorithm is proposed to solve multiobjective optimal power flow problems (MO-OPF) in a power system. The hybrid algorithm, named DA-PSO, combines the frameworks of the dragonfly algorithm (DA) and particle swarm ...
Sirote Khunkitti, Apirat Siritaratiwat, Suttichai Premrudeepreechacharn, Rongrit Chatthaworn, Neville R. Watson   +4 more
doaj   +1 more source

Development of c-means Clustering Based Adaptive Fuzzy Controller for A Flapping Wing Micro Air Vehicle

, 2018
Advanced and accurate modelling of a Flapping Wing Micro Air Vehicle (FW MAV) and its control is one of the recent research topics related to the field of autonomous Unmanned Aerial Vehicles (UAVs). In this work, a four wing Natureinspired (NI) FW MAV is
Anavatti, Sreenatha G., Ferdaus, Md Meftahul, Garratt, Matthew A., Pratama, Mahardhika   +3 more
core   +1 more source

Time-varying sliding mode controller for heat exchanger with dragonfly algorithm [PDF]

, 2023
This article proposes the design of a sliding mode controller with a time-varying sliding surface for the plate heat exchanger. A time-varying sliding mode controller (TVSMC) combines the benefit of the control system’s robustness and convergence rate ...
Boonyaprapasorn, Arsit, Kumsaen, Tinnakorn, Kuntanapreeda, Suwat, Ngiamsunthorn, Parinya Sa, Sethaput, Thunyaseth   +4 more
core   +2 more sources

Assessing and augmenting SCADA cyber security: a survey of techniques [PDF]

, 2017
SCADA systems monitor and control critical infrastructures of national importance such as power generation and distribution, water supply, transportation networks, and manufacturing facilities.
Almalawi, August, Baecher, Boldea, Bouchti, Brand, Byres, Bytschkow, Carcano, Cavalieri, Chabuksawar, Cherdantseva, Ciancamerla, Clarke, Constantin, Curtis, Davies, Dilip Patel, Disso, Dondossola, Dong, Downs, ENISA, Erol-Kantarci, Farooqui, Fovino, Fovino, Genge, Genge, Giani, Goldenberg, Guide to industrial control systems (ICS), Hahn, Hemingway, Henry, Henry, Honeyd, Hug, Huitsing, IEEE Standard for Modeling and Simulation (M&S) High Level Architecture (HLA)– Framework and Rules, Igure, Information Security Management (ISMS), Jain, Jiang, Jin, Kesler, Kirsch, Langner, Leitner, Leszczyna, Li, Li, Li, MacDermott, Mahboob, Mahoney, Mallouhi, Markovic-Petrovic, Mathioudakis, Maynard, Metasploit, Mets, Microsoft Security Bulletins, Mo, Moore, Morris, Moya, Nader, NETA, nmap, Novak, O'Kane, Oman, OpenSCADA, OSSEC, OSSIM, Pauna, Peterson, Pham, Phillips, Pidikiti, Piggin, Protecting Industrial Control Systems, Queiroz, Queiroz, Ralston, Roberts, Sajid Nazir, SCADA, Scarfone, Scarfone, Schneier, Shushma Patel, Simmhan, Slay, Snort, Sploitware, Sridhar, Srivastava, Stouffer, Symantec Security Response, Süß, Ten, Ten, Ten, Tesfahun, Torrisi, Urias, Vijayan, White paper, Winn, Wu, Xie, Yang, Yang, Yang, Zhang, Zhang, Zhu, Ćardenas   +119 more
core   +2 more sources

Implementation of nature-inspired optimization algorithms in some data mining tasks

Ain Shams Engineering Journal, 2020
Data mining optimization received much attention in the last decades due to introducing new optimization techniques, which were applied successfully to solve such stochastic mining problems.
A.M. Hemeida, Salem Alkhalaf, A. Mady, E.A. Mahmoud, M.E. Hussein, Ayman M. Baha Eldin   +5 more
doaj   +1 more source

Scalable Greedy Algorithms for Transfer Learning

, 2016
In this paper we consider the binary transfer learning problem, focusing on how to select and combine sources from a large pool to yield a good performance on a target task.
Caputo, Barbara, Kuzborskij, Ilja, Orabona, Francesco   +2 more
core   +1 more source

Shape of retracting foils that model morphing bodies controls shed energy and wake structure [PDF]

, 2016
The flow mechanisms of shape-changing moving bodies are investigated through the simple model of a foil that is rapidly retracted over a spanwise distance as it is towed at constant angle of attack.
Dahl, J. M., Steele, Stephanie C., Triantafyllou, Michael S, Weymouth, G. D.   +3 more
core   +1 more source

An Optimized Discrete Dragonfly Algorithm Tackling the Low Exploitation Problem for Solving TSP

Mathematics, 2022
Optimization problems are prevalent in almost all areas and hence optimization algorithms are crucial for a myriad of real-world applications. Deterministic optimization algorithms tend to be computationally costly and time-consuming.
Bibi Aamirah Shafaa Emambocus, Muhammed Basheer Jasser, Angela Amphawan, Ali Wagdy Mohamed   +3 more
doaj   +1 more source

Swarm intelligence algorithms for optimising sliding wear of nanocomposites [PDF]

Tribology and Materials
This paper presents simulation results obtained by a set of modern algorithms adhering to swarm intelligence for minimising wear rate in the case of A356/Al2O3 nanocomposites produced using a compocasting process.
Nikolaos A. Fountas, John D. Kechagias, Nikolaos M. Vaxevanidis   +2 more
doaj   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source