Taha Yacine Trad^1,*, Kheireddine Choutri¹, Mohand Lagha¹, Souham Meshoul², Fouad Khenfri³, Raouf Fareh⁴, Hadil Shaiba⁵

CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 4757-4786, 2024, DOI:10.32604/cmc.2024.055634 - 19 December 2024

Abstract The popularity of quadrotor Unmanned Aerial Vehicles (UAVs) stems from their simple propulsion systems and structural design. However, their complex and nonlinear dynamic behavior presents a significant challenge for control, necessitating sophisticated algorithms to ensure stability and accuracy in flight. Various strategies have been explored by researchers and control engineers, with learning-based methods like reinforcement learning, deep learning, and neural networks showing promise in enhancing the robustness and adaptability of quadrotor control systems. This paper investigates a Reinforcement Learning (RL) approach for both high and low-level quadrotor control systems, focusing on attitude stabilization and position… More >

Alexander Fedoseev^*, Mikhail Salnikov

Frontiers in Heat and Mass Transfer, Vol.22, No.6, pp. 1679-1694, 2024, DOI:10.32604/fhmt.2024.056999 - 19 December 2024

Abstract In order to research the process of boiling occurring on a porous surface, a model of multiple blocks was developed. The mathematical basis of these blocks is the lattice Boltzmann method in combination with heat transfer equation. The reported complex allows one to obtain the boiling curves for various wall superheats and to find the optimal parameters of a porous heater in terms of heat transfer enhancement. The porous heater structure is specified as a skeleton of square metal heaters located in the lower part of the computational domain. The calculations were performed for the… More > Graphic Abstract

Gaowei Yi¹, Da Zhang^1,2, Xinyu Liu¹, Yan Li^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.3, pp. 1-3, 2024, DOI:10.32604/icces.2024.011165

Abstract 1 Introduction
With dwindling terrestrial energy resources, there's a societal consensus to harness clean, renewable energy. Submarine hydrothermal vents, hosting abundant and unexplored energy potentials, draw international academic scrutiny [1]. Yet, comprehensive research on exploiting their thermal energy systems remains sparse. Existing technologies persist with stability and efficiency challenges. While promising ventures in hydrothermal power generation exist, they grapple with heat loss, instability, limited capacity, and heightened damage susceptibility [2]. This study scrutinizes submarine hydrothermal vents, amalgamating terrestrial closed-loop geothermal technology to resolve challenges and enable efficient energy utilization [3]. Given the complex geology of these… More >

Gwang Mok Kim^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012583

Abstract This study summarized a part of the research conducted by Kim et al. [1]. The utilization of low-lime calcium silicate cement presents a promising avenue for reducing CO2 emissions in construction fields. Ordinary Portland cement pastes with the type of calcium silicate cement powder were fabricated and solidified under carbonation curing conditions. The physicochemical characteristics of the pastes were examined via variable tests including initial setting and flow characteristics, compressive strength and so on. Limestone and silica fume were employed for the synthesis of the calcium silicate cement used here. The content of calcium silicate More >

Aida Sanad Alqarni¹, Fatmah Ahmed Alamoudi², Eddieson Pasay-an^1,*, Lizy Sonia Benjamin^1,*, Kawther Elthayeb Ahmed¹, Petelyne Pangket¹, Richard Maestrado³, Lailani Sacgaca², Ferdinand Gonzales¹, Benito Areola Jr.⁴

Psycho-Oncologie, Vol.18, No.4, pp. 281-289, 2024, DOI:10.32604/po.2024.054599 - 04 December 2024

Abstract Introduction: The main objective of this study was to fill the gap between the knowledge nurses have about psychosocial care and what they do about cancer patients’ needs. It also aimed to devise ways to improve nursing education for nurses who could provide enhanced psychosocial support in such areas. Methods: This qualitative study relied on 18 in-depth interviews with nurses, with a focus on the difference between their understanding of psychosocial care and its application in helping cancer patients. This involved analyzing the transcribed interviews using thematic analysis. Data were collected from February to March… More >

Fei Teng¹, Yiwei Weng^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.4, pp. 1-1, 2024, DOI:10.32604/icces.2024.012282

Abstract 3D concrete printing (3DCP) has challenges in weak interlayer bond strength and steel reinforcement integration. Existing methods to improve the interlayer bond strength and integrate steel reinforcement have limitations in automatic operation and limited mechanical performance improvement. Strain hardening cementitious composites (SHCC), with the high tensile strength and tensile strain capacity, have the potential to achieve self-reinforced structures in 3DCP. Nevertheless, the wider adoption of SHCC in 3DCP is limited by the high cost of fibers and fiber agglomeration during printing.
To fill the gap, this study investigates the use of SHCC as bonding agent of… More >

Jungyeon Kim¹, Lequn Chen¹, Seung Ki Moon^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.012511

Abstract Robotic Laser-Directed Energy Deposition (L-DED) offers significant advantages in terms of workplace size and kinematic flexibility for part fabrication. However, its potential is hindered by challenges such as toolpath precision and speed inconsistency compared to traditional CNC machines. These limitations critically affect melt pool dynamics, temperature consistency, and ultimately, the geometric integrity of fabricated parts, areas that are still not thoroughly understood or quantified.
This preliminary research aims to investigate the impact of these inaccuracies on melt pool morphology and part quality, utilizing in-situ collected speed/position data with a digital twin model, notably the Eagar-Tsai… More >

Chao Meng^1,#, Ikram Ullah^2,#, Wenjin Wu³, Yiping Zhang¹, Ruixue Shi¹, Shaodan Luo³, Cuixia Luo³, Satyabrata Nanda⁴, Mahmoud F. Seleiman⁵, Yalian Jiang^1,*, Wangqi Huang^1,*

Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 3029-3038, 2024, DOI:10.32604/phyton.2024.057857 - 30 November 2024

Abstract Marigolds (Tagetes spp.) are popular horticultural plants worldwide. The current study aimed to investigate the optimal mutagenic conditions for marigold seeds using EMS (ethyl methanesulfonate) mutagenesis. Different concentrations and treatment times of EMS were applied to investigate their effects on the marigold seed germination rate, growth traits, antioxidant enzyme activities (i.e., SOD and POD), and malondialdehyde (MDA) contents. Results indicated that with increasing the EMS treatment duration and concentration, the seed germination rate and growth treatments were reduced, accompanied by elevated MDA content. In addition, SOD and POD activities initially correlated positively with the growth tratis at More >

Li Wang^1,*, Xiaoyong Wang²

Energy Engineering, Vol.121, No.12, pp. 3953-3979, 2024, DOI:10.32604/ee.2024.056705 - 22 November 2024

Abstract Plug-in Hybrid Electric Vehicles (PHEVs) represent an innovative breed of transportation, harnessing diverse power sources for enhanced performance. Energy management strategies (EMSs) that coordinate and control different energy sources is a critical component of PHEV control technology, directly impacting overall vehicle performance. This study proposes an improved deep reinforcement learning (DRL)-based EMS that optimizes real-time energy allocation and coordinates the operation of multiple power sources. Conventional DRL algorithms struggle to effectively explore all possible state-action combinations within high-dimensional state and action spaces. They often fail to strike an optimal balance between exploration and exploitation, and… More >

Inna Bilous¹, Dmytro Biriukov¹, Dmytro Karpenko², Tatiana Eutukhova², Oleksandr Novoseltsev^2,*, Volodymyr Voloshchuk¹

Energy Engineering, Vol.121, No.12, pp. 3617-3634, 2024, DOI:10.32604/ee.2024.051684 - 22 November 2024

Abstract This article focuses on the challenges of modeling energy supply systems for buildings, encompassing both methods and tools for simulating thermal regimes and engineering systems within buildings. Enhancing the comfort of living or working in buildings often necessitates increased consumption of energy and material, such as for thermal upgrades, which consequently incurs additional economic costs. It is crucial to acknowledge that such improvements do not always lead to a decrease in total pollutant emissions, considering emissions across all stages of production and usage of energy and materials aimed at boosting energy efficiency and comfort in… More > Graphic Abstract