Dongxu Zhang^1,*, Kaitai Feng¹, Menghui Lv¹, Zhixun Wen²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.4, pp. 1-3, 2024, DOI:10.32604/icces.2024.012317

Abstract Modern advanced equipment is often in high-temperature and high-load service environment for a long time, in which multiaxial creep rupture is one of the important failure modes of key components. For example, typical structures under multiaxial stresses state, such as aero-engine turbine blades film cooling holes and turbine disk groove connection structures, are usually prioritized for creep rupture failure in high-temperature, high-pressure and high-speed loading environments. At present, the coupling mechanism between temperature and stress fields in complex environments, as well as the rupture mechanisms and life characteristics of structures with multiaxial stresses in service… More >

Weizheng Wang^1,3, Xiangqi Wang^2,*, Xianmin Pan¹, Xingxing Gong³, Jian Liang³, Pradip Kumar Sharma⁴, Osama Alfarraj⁵, Wael Said⁶

CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 3859-3876, 2023, DOI:10.32604/cmc.2023.041346 - 08 October 2023

Abstract Image-denoising techniques are widely used to defend against Adversarial Examples (AEs). However, denoising alone cannot completely eliminate adversarial perturbations. The remaining perturbations tend to amplify as they propagate through deeper layers of the network, leading to misclassifications. Moreover, image denoising compromises the classification accuracy of original examples. To address these challenges in AE defense through image denoising, this paper proposes a novel AE detection technique. The proposed technique combines multiple traditional image-denoising algorithms and Convolutional Neural Network (CNN) network structures. The used detector model integrates the classification results of different models as the input to… More >

Chong Xu¹, Hao Zhu¹, Haotian Zhu², Jirong Wang¹, Qinghai Zhao^1,3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2567-2591, 2023, DOI:10.32604/cmes.2023.029152 - 03 August 2023

Abstract A new and improved RRT^∗ algorithm has been developed to address the low efficiency of obstacle avoidance planning and long path distances in the electric vehicle automatic charging robot arm. This algorithm enables the robot to avoid obstacles, find the optimal path, and complete automatic charging docking. It maintains the global completeness and path optimality of the RRT algorithm while also improving the iteration speed and quality of generated paths in both 2D and 3D path planning. After finding the optimal path, the B-sample curve is used to optimize the rough path to create a smoother More > Graphic Abstract

S. G. Siddharth^1,*, G. M. Tamilselvan², C. Venkatesh³

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5219-5234, 2022, DOI:10.32604/cmc.2022.019252 - 14 January 2022

Abstract In underground operation, primary consideration is safety. In recent decades, for minimizing accident and for preventing major economic losses and casualties, wireless sensors are used by various large mineral countries through early warning. The Improved DV-Hop Localization Algorithm (IDVHLA) is used in existing works for doing this. However, accurate anchor node detection is impossible in existing works with the malicious nodes presence, where there won't be any accurate sharing of anchor node's location information. In case of emergency situation, faster communication is a highly complex one. A technique called Modified Distance Vector Hop based Multipath… More >