Article
Engineering, Biomedical
Felipe-Andres Bello Robles, Ronney B. Panerai, Emmanuel Katsogridakis, Max Chacon
Summary: This study aimed to quantify the contributions of vascular resistance and compliance to dynamic cerebral autoregulation (dCA) and evaluate their effects under normo and hypercapnic conditions. The results showed a significant increase in vascular compliance during hypercapnia, indicating the potential value of this approach in clinical applications.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2022)
Article
Optics
H. Lagemann, D. Willsch, M. Willsch, F. Jin, H. De Raedt, K. Michielsen
Summary: This study compares numerical solutions of effective and lumped-element models for flux-tunable transmons and finds that common approximations can significantly change the system's response when a control pulse is applied.
Article
Physics, Multidisciplinary
Alfonsas Misevicius, Dovile Verene
Summary: This paper introduces a hybrid genetic-hierarchical algorithm for the quadratic assignment problem, combining genetic algorithm with hierarchical iterated tabu search algorithm, showing promising performance and competitiveness in computational experiments.
Article
Mathematics
Gonzalo A. Aranda-Corral, Miguel A. Rodriguez, Inaki Fernandez de Viana, Maria Isabel G. Arenas
Summary: There has been a growing interest in resource sharing systems to support sustainability, where the optimization of these systems is an NP-Hard problem due to its combinatorial nature. This study focuses on obtaining past usage data of bike loan networks to optimize station capacity distribution using evolutionary algorithms. The proposed approach considers the cost of non-used bike places and additional kilometers users would have to travel in the new distribution, improving user satisfaction by inferring user behavior trends.
Review
Microbiology
Nisha Pillai, Mahalingam Ramkumar, Bindu Nanduri
Summary: Zoonotic diseases refer to the natural transmission of pathogen infections between animals and humans. Artificial intelligence models have been used to study these diseases, aiding in predicting risk factors and developing mitigation strategies.
Article
Automation & Control Systems
Xiaofeng Li, Lu Dong, Changyin Sun
Summary: This paper proposes a data-based scheme to solve the optimal tracking problem of autonomous nonlinear switching systems using an iterative algorithm based on adaptive dynamic programming, considering approximation errors. The effectiveness of the algorithm is demonstrated through three simulation examples.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2021)
Article
Computer Science, Interdisciplinary Applications
M. A. El-Shorbagy, Adel M. El-Refaey
Summary: The hybrid algorithm H-GA-FA combines genetic algorithm (GA) and firefly algorithm (FA) to solve engineering design problems by leveraging the strengths of both algorithms. It outperforms other optimization methods in test results and effectively handles constraint violations to maintain solution feasibility.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Abeer. A. Aljohani
Summary: Distracted driving is a serious issue with significant direct and indirect consequences for society. To address this, detecting dangerous driver behavior is crucial. This research proposes a method that combines artificial deep learning and machine learning models with genetic algorithms to achieve driver behavior detection.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Automation & Control Systems
Feng Lin, Le Yi Wang, Wen Chen, Michael P. Polis
Summary: This article explores the controllability of hybrid systems using hybrid machines to model them. It introduces a model comprising an automaton and a linear time-invariant system, aiming to drive continuous states from any initial state to any final state. Utilizing controls at both discrete-event and continuous-variable levels, the article provides necessary and sufficient conditions for controllability in certain scenarios, as well as deriving sufficient conditions in other cases. If a hybrid system is not controllable, a supervisor is designed to potentially make it controllable after a finite number of transitions.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Computer Science, Interdisciplinary Applications
Bahman Naderi, Ahmed Azab
Summary: This study discusses the scheduling problem of a reconfigurable assembly system with changeable configurations and unique fittest configurations for different job sets. Mathematical modeling and artificial immune algorithms are proposed to solve small and large instances of the problem, respectively. Numerical experiments evaluate the model and performance of the algorithms.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
Tomohiro Harada, Enrique Alba, Gabriel Luque
Summary: This study proposes a novel approach to evaluate and analyze the behavior of multi-population parallel genetic algorithms (PGAs) running on a cluster of multi-core processors. By establishing a mathematical model, the numerical and computational behavior of the algorithms are deeply studied, and conclusions regarding performance, running time, and numerical effort are drawn.
APPLIED SOFT COMPUTING
(2022)
Article
Engineering, Electrical & Electronic
Kamil Lelowicz, Michal Jasinski, Adam Krzysztof Pilat
Summary: This article discusses the modeling problem of color filter space in simulators and proposes three new approaches to solve the color space transformation from RGB to RYYCy. The conversion accuracy and execution time of each algorithm are compared through experiments.
IEEE SENSORS JOURNAL
(2022)
Article
Computer Science, Information Systems
Gagan Deep Singh, Manish Prateek, Sunil Kumar, Madhushi Verma, Dilbag Singh, Heung-No Lee
Summary: Vehicular Adhoc Networks (VANETs) face challenges in node management, security, and routing. This paper proposes a Hybrid Genetic Firefly Algorithm-based Routing Protocol (HGFA) for faster communication in VANET. Extensive comparative analysis shows that the proposed HGFA algorithm outperforms other algorithms in different network scenarios.
Review
Energy & Fuels
Kunal Sandip Garud, Simon Jayaraj, Moo-Yeon Lee
Summary: This article reviews the application of artificial intelligence techniques in solar photovoltaic systems, focusing on design, modeling, fault detection, and output prediction. A total of 122 articles from 2009 to 2019 are analyzed, showing the suitability and reliability of ANN, FL, GA, and hybrid models for accurate prediction of solar radiation and system performance characteristics.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Biochemical Research Methods
Prasad Bandodkar, Razeen Shaikh, Gregory T. Reeves
Summary: Mathematical models in systems biology are crucial for hypothesis generation, experimental design, and inference of gene regulatory network dynamics. Parameter estimation is a key step in model development, and global optimization techniques like evolutionary algorithms (EAs) are often used for this purpose. ISRES is a widely used EA in systems biology, but it only utilizes information from a few individuals in each generation. This article proposes ISRES+ which combines information from all individuals across the population and across all generations, resulting in improved parameter estimation.
Article
Engineering, Electrical & Electronic
Juan M. Lujano-Rojas, Rodolfo Dufo-Lopez, Jose L. Bernal-Agustin, Jose A. Dominguez-Navarro, Joao P. S. Catalao
ELECTRIC POWER SYSTEMS RESEARCH
(2019)
Article
Energy & Fuels
Yimy E. Garcia-Vera, Rodolfo Dufo-Lopez, Jose L. Bernal-Agustin
Editorial Material
Chemistry, Multidisciplinary
Rodolfo Dufo-Lopez, Jose L. Bernal-Agustin
APPLIED SCIENCES-BASEL
(2020)
Article
Chemistry, Multidisciplinary
Tomas Cortes-Arcos, Rodolfo Dufo-Lopez, Jose L. Bernal-Agustin
APPLIED SCIENCES-BASEL
(2020)
Article
Energy & Fuels
Yimy E. Garcia-Vera, Rodolfo Dufo-Lopez, Jose L. Bernal-Agustin
Article
Chemistry, Multidisciplinary
Rodolfo Dufo-Lopez, Tomas Cortes-Arcos, Jesus Sergio Artal-Sevil, Jose L. Bernal-Agustin
Summary: Analyzing various models for estimating the lifetimes of lead-acid and Li-ion batteries, it was found that the results vary significantly with different average temperatures. Traditional battery aging models tend to overestimate the battery life, requiring more advanced models for accurate estimation.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Multidisciplinary
Javier Carroquino, Cristina Escriche-Martinez, Luis Valino, Rodolfo Dufo-Lopez
Summary: This study examines the economic performance of different types of batteries in photovoltaic or hybrid standalone energy systems and finds that the optimal battery type varies depending on the demand profiles. The results show that the entire system needs to be resized in order to change the battery type, and in some cases lead-acid batteries are more suitable while in others it is lithium-ion batteries.
APPLIED SCIENCES-BASEL
(2021)
Article
Multidisciplinary Sciences
Juan M. Lujano-Rojas, Rodolfo Dufo-Lopez, Jesus Sergio Artal-Sevil, Eduardo Garcia-Paricio
Summary: This paper utilizes Monte Carlo simulation (MCS) technique and stopping criterion to construct the probability distribution of learning error for artificial neural networks (ANNs) applied in short-term forecasting and wind speed prediction. The extensive computational analysis demonstrates the effectiveness of this method in improving model performance and outperforming the persistence model.
Article
Computer Science, Interdisciplinary Applications
Juan M. Lujano-Rojas, Ghassan Zubi, Rodolfo Dufo-Lopez, Jose L. Bernal-Agustin, Jose L. Atencio-Guerra, Joao P. S. Catalao
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2020)
Article
Chemistry, Multidisciplinary
Carlos J. Sarasa-Maestro, Rodolfo Dufo-Lopez, Jose L. Bernal-Agustin
APPLIED SCIENCES-BASEL
(2019)
Article
Thermodynamics
Pengcheng Zhao, Jingang Wang, Liming Sun, Yun Li, Haiting Xia, Wei He
Summary: The production of green hydrogen through water electrolysis is crucial for renewable energy utilization and decarbonization. This research explores the optimal electrode configuration and system design of compactly-assembled industrial electrolyzer. The findings provide valuable insights for industrial application of water electrolysis equipment.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
V. Baiju, P. Abhishek, S. Harikrishnan
Summary: Thermally driven adsorption desalination systems (ADS) have gained attention as an eco-friendly solution for water scarcity. However, they face challenges related to low water productivity and scalability. To overcome these challenges, integrating ADS with other desalination technologies can create a small-scale hybrid system. This study proposes integrating ADS with a Thermo Electric Dehumidification (TED) unit to enhance its performance.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
C. X. He, Y. H. Liu, X. Y. Huang, S. B. Wan, Q. Chen, J. Sun, T. S. Zhao
Summary: A decentralized centroid multi-path RC network model is constructed to improve the temperature prediction accuracy compared to traditional RC models. By incorporating multiple heat flow paths and decentralizing thermal capacity, a more accurate prediction is achieved.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Chaoying Li, Meng Wang, Nana Li, Di Gu, Chao Yan, Dandan Yuan, Hong Jiang, Baohui Wang, Xirui Wang
Summary: There is an urgent need to shift away from heavy dependence on fossil fuels and embrace renewable energy sources, particularly in the energy-intensive oil refining process. This study presents an innovative concept called the Solar Oil Refinery, which applies solar energy in oil refining. A solar multi-energies-driven hybrid chemical oil refining system that utilizes solar pyrolysis and electrolysis has been developed, significantly improving solar utilization efficiency, cracking rate, and hydrogen yield.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Chao Ma, Guanghui Wang, Dingbiao Wang, Xu Peng, Yushen Yang, Xinxin Liu, Chongrui Yang, Jiaheng Chen
Summary: This study proposes a bio-inspired fish-tail wind rotor to improve the wind power efficiency of the traditional Savonius rotor. Through transient simulations and orthogonal experiments, the key factors affecting the performance are identified. A response surface model is constructed to optimize the power coefficient, resulting in an improvement of 9.4% and 6.6% compared to the Savonius rotor.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Sina Bahmanziari, Abbas-Ali Zamani
Summary: This paper proposes a new framework for improving electrical energy harvesting from piezoelectric smart tiles through a combination of magnetic plucking, mechanical impact, and mechanical vibration force mechanisms. Experimental results demonstrate a significant increase in energy yield and average energy harvesting time compared to other mechanisms.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Nanjiang Dong, Tao Zhang, Rui Wang
Summary: This study establishes a multiobjective mixed-variable configuration optimization model for a comprehensive combined cooling, heating, and power energy system, and proposes an efficient generating operator to optimize this model. The experimental results show that the proposed algorithm performs better than other state-of-the-art algorithms.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Ahmed E. Mansy, Eman A. El Desouky, Tarek H. Taha, M. A. Abu-Saied, Hamada El-Gendi, Ranya A. Amer, Zhen-Yu Tian
Summary: This study aims to convert office paper waste into bioethanol through a sustainable pathway. The results show that physiochemical and enzymatic hydrolysis of the waste can yield a high glucose concentration. The optimal conditions were determined using the Box-Behnken design, and a blended membrane was used for ethanol purification.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Sven Klute, Marcus Budt, Mathias van Beek, Christian Doetsch
Summary: Heat pumps are crucial for decarbonizing heat supply, and steam generating heat pumps have the potential to decarbonize the industrial sector. This paper presents the current state, technical and economic data, and modeling principles of steam generating heat pumps.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Le Zhang, To-Hung Tsui, Yen Wah Tong, Pruk Aggarangsi, Ronghou Liu
Summary: This study investigates the effectiveness of a current-carrying-coil-based magnetic field in promoting anaerobic digestion of chicken manure. The results show that the applied magnetic field increases methane yield, decreases carbon dioxide production, and reduces the concentration of ammonia nitrogen. Microbial community analysis reveals the enrichment of certain methanogenic genera and enhanced metabolic pathways. Pilot-scale experiments confirm the technical effectiveness of the magnetic field assistance in enhancing anaerobic digestion of chicken manure.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Bo Chen, Ruiqing Ma, Yang Zhou, Rui Ma, Wentao Jiang, Fan Yang
Summary: This paper presents an advanced energy management strategy for fuel cell hybrid electric heavy-duty vehicles, focusing on speed planning and energy allocation. By utilizing predictive co-optimization control, this strategy ensures safe inter-vehicle distance and minimizes energy demand. Simulation results demonstrate the effectiveness of the proposed method in reducing fuel cell degradation cost and overall operation cost.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Fabio Fatigati, Roberto Cipollone
Summary: Organic Rankine Cycle-based microcogeneration systems that use solar sources to generate electricity and hot water can help reduce CO2 emissions in residential energy-intensive sectors. The adoption of a recuperative heat exchanger in these systems improves efficiency, reduces thermal power requirements, and saves on electricity costs.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Lipeng He, Renwen Liu, Xuejin Liu, Xiaotian Zheng, Limin Zhang, Jieqiong Lin
Summary: This research proposes a piezoelectric-electromagnetic hybrid energy harvester (PEHEH) for low-frequency wave motion and self-sensing wave environment monitoring. The PEHEH shows promising power output and the ability to self-power and self-sense the wave environment.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Shangling Chu, Yang Liu, Zipeng Xu, Heng Zhang, Haiping Chen, Dan Gao
Summary: This paper studies a distributed energy system integrated with solar and natural gas, analyzes the impact of different parameters on its energy utilization and emissions reduction, and obtains the optimal solution through an optimization algorithm. The results show that compared to traditional separation production systems, this integrated system achieves higher energy utilization and greater reduction in carbon emissions.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Qingpu Li, Yaqi Ding, Guangming Chen, Yongmei Xuan, Neng Gao, Nian Li, Xinyue Hao
Summary: This paper proposes and studies a piston-type thermally-driven pump with a structure similar to a linear compressor, aiming to eliminate the high-quality energy consumption of existing pumps and replace mechanical pumps. The coupling mechanism of working fluid flow and element dimension is analyzed based on force analysis, and experimental data analysis is used to determine the pump operation stroke. Theoretical simulation is conducted to analyze the correlation mechanism of the piston assembly. The research shows that the thermally-driven pump can greatly reduce power consumption and has potential for industrial applications.
ENERGY CONVERSION AND MANAGEMENT
(2024)
