Article
Green & Sustainable Science & Technology
Hegazy Rezk, Mohammed Mazen Alhato, Mujahed Al-Dhaifallah, Soufiene Bouallegue
Summary: Thermoelectric generators are devices that transform thermal power into electricity via the Seebeck effect, gaining increasing interest in sustainable energy research. To enhance the output performance of TEGs, a reliable maximum power point tracker is necessary.
Article
Computer Science, Information Systems
Atul Kumar, Mohit Dua
Summary: An Intelligent Transport System (ITS) captures traffic data in the form of images using smart devices. However, attackers can steal and misuse this information. In this study, a novel encryption algorithm using GRU and Sine-Cosine chaotic map is proposed, which is divided into three phases to ensure secure and efficient transport image cryptography.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Thermodynamics
Huixin Ma, Chu Zhang, Tian Peng, Muhammad Shahzad Nazir, Yiman Li
Summary: In this research, a deep learning model for photovoltaic power prediction based on GRU, ISCA, and CEEMD is proposed. Experimental results show that the proposed model can achieve good prediction results on different data sets.
Article
Thermodynamics
Chu Zhang, Huixin Ma, Lei Hua, Wei Sun, Muhammad Shahzad Nazir, Tian Peng
Summary: In this study, a hybrid deep learning model based on convolutional neural network (CNN), Bidirectional long short-term memory (BiLSTM), improved sine cosine algorithm (ISCA) and time-varying filter based empirical mode decomposition (TVFEMD) is proposed for accurate wind speed prediction. The model decomposes the data, analyzes the importance of subcomponents, and utilizes CNN-BiLSTM and ISCA for prediction. Experimental results show that the proposed model achieves good prediction results on all data sets.
Article
Mathematics, Applied
Muaz Seydaoglu, Philipp Bader, Sergio Blanes, Fernando Casas
Summary: A new method is proposed for computing the matrix cosine and sine simultaneously using Taylor polynomial approximations, which are factorized to reduce the number of matrix products involved. Two versions for single and double precision arithmetic are developed, and the resulting algorithms are shown to be more efficient than schemes based on Pade approximations for a wide range of norm matrices.
APPLIED NUMERICAL MATHEMATICS
(2021)
Article
Computer Science, Interdisciplinary Applications
Reza Moghdani, Mohamed Abd Elaziz, Davood Mohammadi, Nabil Neggaz
Summary: This study presents a modified VPLSCA algorithm using sine cosine algorithm operators to obtain more accurate solutions in volleyball simulations, which showed promising results compared to other metaheuristic algorithms. The algorithm utilizes volleyball metaphors to find better solutions and has been tested on various functions and optimization problems with reasonable outcomes.
ENGINEERING WITH COMPUTERS
(2021)
Article
Engineering, Electrical & Electronic
Pedro Paz, Mario Garrido
Summary: This brief presents a novel CORDIC-based approach for computing arcsine and arccosine functions. The proposed approach compensates the gain in the rotations, allowing for accurate computation without increasing complexity. The benefits of the approach are demonstrated through implementation on an FPGA.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2023)
Article
Thermodynamics
Tian Peng, Chu Zhang, Jianzhong Zhou, Muhammad Shahzad Nazir
Summary: This study proposes a deep learning model based on BiLSTM, SCA, and CEEMDAN for solar radiation forecasting, achieving high accuracy through decomposing sub-modes and optimizing parameters. Experimental results demonstrate that the model outperforms existing models in accuracy across multiple datasets and forecast horizons.
Article
Engineering, Marine
Han Xue
Summary: This study combines particle swarm optimization algorithm with sine cosine algorithm and proposes a quasi-reflection-based sine cosine particle swarm optimization algorithm. By considering factors such as distance, time, and distance from the ship to shallow water, the path planning problem is transformed into an optimization problem, ensuring the safe and efficient operation of ships.
Article
Physics, Multidisciplinary
Kento Kaneko, Paul Fischer
Summary: The authors introduce an augmented-basis method to stabilize reduced-order models of turbulent incompressible flows, which outperforms traditional POD ROM methods and provides higher accuracy and efficiency for model reduction in turbulent flow simulations.
FRONTIERS IN PHYSICS
(2022)
Article
Computer Science, Artificial Intelligence
Shubham Gupta, Rong Su, Shitu Singh
Summary: The paper proposes an enhanced version of the sine-cosine algorithm (ISCA) by modifying its search mechanism and hybridizing it with a differential evolution algorithm. ISCA shows improved performance in continuous optimization problems and multidimensional knapsack problems.
APPLIED SOFT COMPUTING
(2022)
Article
Physics, Multidisciplinary
P. Hema, M. M. Latha
Summary: By introducing bilinear and anisotropic interactions in a model based on a square lattice of ferromagnetism, this study investigates the influence of excitations with nonlinearity in intrinsic localized modes (ILMS) and modulational instability. Equations of motion are constructed in the semi-classical limit using Glauber's coherent state representation and the Dyson-Maleev form of spin operators. A Cubic Nonlinear Schrodinger (CNLS) equation is obtained using quasi-discreteness analysis and a method of multiple scales. Bright envelope solitons and intrinsically localized modes are analyzed using a Sine-Cosine function approach, and stability conditions are obtained through Modulational Instability analysis.
CHINESE JOURNAL OF PHYSICS
(2023)
Article
Computer Science, Artificial Intelligence
Bhuvnesh Khokhar, Surender Dahiya, K. P. Singh Parmar
Summary: This paper introduces a novel two dimensional Sine Logistic map based chaotic algorithm for load frequency control in islanded microgrids, showing superior performance in terms of convergence characteristics and execution efficiency. The proposed algorithm is compared with other algorithms and demonstrates significant improvements in frequency response of the microgrid.
APPLIED SOFT COMPUTING
(2021)
Article
Engineering, Multidisciplinary
Amy De, Pavel Bochev, Paul Kuberry, Irina Tezaur
Summary: This paper presents a method for solving coupled interface problems using projection-based reduced order models (ROM) and/or full order models (FOMs). The method decouples the subdomain equations and obtains non-singular Schur complements for the coupled ROM-ROM and ROM-FOM problems. The effectiveness of the method is demonstrated through theoretical and computational tests.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Engineering, Marine
Alawi Alqushaibi, Said Jadid Abdulkadir, Helmi Md Rais, Qasem Al-Tashi, Mohammed G. Ragab, Hitham Alhussian
Summary: This paper introduces an enhanced neural network method for accurate wave height prediction, which outperforms traditional models in terms of performance. The improved models demonstrate higher accuracy and stability through adaptive weight initialization and optimal model configurations.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
