Buwei Dang, Huanming Chen^*, Heng Zhang, Jixian Wang, Jian Zhou

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 2003-2023, 2025, DOI:10.32604/cmc.2025.062653 - 16 April 2025

Abstract This paper introduces a lane-changing strategy aimed at trajectory planning and tracking control for intelligent vehicles navigating complex driving environments. A fifth-degree polynomial is employed to generate a set of potential lane-changing trajectories in the Frenet coordinate system. These trajectories are evaluated using non-cooperative game theory, considering the interaction between the target vehicle and its surroundings. Models considering safety payoffs, speed payoffs, comfort payoffs, and aggressiveness are formulated to obtain a Nash equilibrium solution. This way, collision avoidance is ensured, and an optimal lane change trajectory is planned. Three game scenarios are discussed, and the More >

Xiaoying Qiu^1,*, Xiaoyu Ma¹, Guangxu Zhao¹, Jinwei Yu², Wenbao Jiang¹, Zhaozhong Guo¹, Maozhi Xu³

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 2025-2040, 2025, DOI:10.32604/cmc.2025.061869 - 16 April 2025

Abstract Physical layer authentication (PLA) in the context of the Internet of Things (IoT) has gained significant attention. Compared with traditional encryption and blockchain technologies, PLA provides a more computationally efficient alternative to exploiting the properties of the wireless medium itself. Some existing PLA solutions rely on static mechanisms, which are insufficient to address the authentication challenges in fifth generation (5G) and beyond wireless networks. Additionally, with the massive increase in mobile device access, the communication security of the IoT is vulnerable to spoofing attacks. To overcome the above challenges, this paper proposes a lightweight deep More >

Hongxiao Wang¹, Hongshen Liu¹, Dingsen Zhang^1,*, Ziye Zhang¹, Yonghui Yue¹, Jie Chen²

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 1987-2001, 2025, DOI:10.32604/cmc.2025.060384 - 16 April 2025

Abstract Despite its immense potential, the application of digital twin technology in real industrial scenarios still faces numerous challenges. This study focuses on industrial assembly lines in sectors such as microelectronics, pharmaceuticals, and food packaging, where precision and speed are paramount, applying digital twin technology to the robotic assembly process. The innovation of this research lies in the development of a digital twin architecture and system for Delta robots that is suitable for real industrial environments. Based on this system, a deep reinforcement learning algorithm for obstacle avoidance path planning in Delta robots has been developed, More >

Sheng Dong^*, Feihu Fan, Yinuo Chen, Shangpeng Guo, Jiayu Liu

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 1-50, 2025, DOI:10.32604/cmes.2025.062113 - 11 April 2025

Abstract Legged robots have always been a focal point of research for scholars domestically and internationally. Compared to other types of robots, quadruped robots exhibit superior balance and stability, enabling them to adapt effectively to diverse environments and traverse rugged terrains. This makes them well-suited for applications such as search and rescue, exploration, and transportation, with strong environmental adaptability, high flexibility, and broad application prospects. This paper discusses the current state of research on quadruped robots in terms of development status, gait trajectory planning methods, motion control strategies, reinforcement learning applications, and control algorithm integration. It More >

Mehmet Fidan¹, Behcet Inal^2,*, Mesut Sırrı³, Bülent Hallaç⁴, Ulutas Mehmet Sefa¹

Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 781-791, 2025, DOI:10.32604/phyton.2025.062171 - 31 March 2025

Abstract The use of conventional herbal medicines is a rapidly expanding phenomenon in developed nations. For instance, 30%–50% of all drug use in China is attributed to traditional herbal preparations. Current study evaluated the antioxidant (DPPH, FRAP), total phenolic and flavonoid content, antibacterial activity, and DNA damage protective potential of aqueous and methanolic extracts obtained from the aerial parts and roots of Cymbocarpum wiedemannii Boiss., an endemic plant in Turkey. In antioxidant analyses, the methanolic extract of the aerial parts showed the highest %DPPH (73.38) and IC50 (3.46 mg/mL) values. The FRAP analysis revealed the highest iron-reducing… More > Graphic Abstract

Gohar Ayoub¹, Shafaqat Ali^1,2,*, Muhammad Arslan Ashraf ^3,4, Shoaib Ahmad⁵, Mohamed A. El-Sheikh⁶

Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 929-951, 2025, DOI:10.32604/phyton.2025.059288 - 31 March 2025

Abstract Chromium (Cr), a persistent soil pollutant, has detrimental effects on plants and living things, and its contamination in soil increased as a result of human-induced activities. Pakistan suffers from a lack of fresh water supplies; hence most people use metal-containing water and wastewater to irrigate their crops. Exposure to Cr toxicity, the plant reduces their morphological and physiological growth which ultimately decreases crop productivity. The current study was designed to investigate the foliar application of hesperidin (HSP) at varying effluent rates (25, 50, 75, and 100 mg L⁻¹) on wheat growth under tannery wastewater irrigated soil.… More >

Haoyuan Li, Lingling Li^*

Energy Engineering, Vol.122, No.4, pp. 1337-1358, 2025, DOI:10.32604/ee.2025.060105 - 31 March 2025

Abstract Rational distribution network planning optimizes power flow distribution, reduces grid stress, enhances voltage quality, promotes renewable energy utilization, and reduces costs. This study establishes a distribution network planning model incorporating distributed wind turbines (DWT), distributed photovoltaics (DPV), and energy storage systems (ESS). K-means++ is employed to partition the distribution network based on electrical distance. Considering the spatiotemporal correlation of distributed generation (DG) outputs in the same region, a joint output model of DWT and DPV is developed using the Frank-Copula. Due to the model’s high dimensionality, multiple constraints, and mixed-integer characteristics, bilevel programming theory is… More >

Veronika Dyakova^1,2,*, Olga Vlasova¹, Victor Kozlov¹

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.3, pp. 493-508, 2025, DOI:10.32604/fdmp.2025.060577 - 01 April 2025

Abstract An experimental investigation of the dynamics of the interface between two low-viscosity fluids with high density contrast oscillating in a fixed vertical slotted channel has been conducted. It has been found that as the amplitude of the liquid column oscillations increases, parametric oscillations of the interface are excited in the form of a standing wave located in the channel plane. In particular, depending on the interfacial tension, the standing waves have a frequency equal to that of liquid piston oscillations (harmonic response), or half of the frequency of oscillations of the liquid column in the… More >

Min Feng^*, Long Wang, Lei Sun, Bo Yang, Wei Wang, Jianning Luo, Yan Wang, Ping Liu

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.3, pp. 573-587, 2025, DOI:10.32604/fdmp.2024.056421 - 01 April 2025

Abstract This study sheds light on how pore structure characteristics and varying dynamic pressure conditions influence the permeability of tight sandstone reservoirs, with a particular focus on the Paleozoic reservoirs in the Qingshimao Gas Field. Using CT scans of natural core samples, a three-dimensional digital core was constructed. The maximum ball method was applied to extract a related pore network model, and the pore structure characteristics of the core samples, such as pore radius, throat radius, pore volume, and coordination number, were quantitatively evaluated. The analysis revealed a normally distributed pore radius, suggesting a high degree… More >

Xu Liu¹, Qiujie Li^1,*, Youlin Xu¹, Musaed Alhussein², Khursheed Aurangzeb^2,*, Fa Zhu¹

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 575-593, 2025, DOI:10.32604/cmc.2025.062445 - 26 March 2025

Abstract The correction of Light Detection and Ranging (LiDAR) intensity data is of great significance for enhancing its application value. However, traditional intensity correction methods based on Terrestrial Laser Scanning (TLS) technology rely on manual site setup to collect intensity training data at different distances and incidence angles, which is noisy and limited in sample quantity, restricting the improvement of model accuracy. To overcome this limitation, this study proposes a fine-grained intensity correction modeling method based on Mobile Laser Scanning (MLS) technology. The method utilizes the continuous scanning characteristics of MLS technology to obtain dense point… More >