Shi Dong^*, Mengke Liu, Khushnood Abbas

CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 3451-3498, 2024, DOI:10.32604/cmc.2024.055575 - 19 December 2024

Abstract The metaverse has emerged as a prominent topic with growing interest fueled by advancements in Web 3.0, blockchain, and immersive technologies. This paper presents a thorough analysis of the metaverse, showcasing its evolution from a conceptual phase rooted in science fiction to a dynamic and transformative digital environment impacting various sectors including gaming, education, healthcare, and entertainment. The paper introduces the metaverse, details its historical development, and introduces key technologies that enable its existence such as virtual and augmented reality, blockchain, and artificial intelligence. Further this work explores diverse application scenarios, future trends, and critical More >

Jiazhao Huang¹, Xiaoying Qi¹, Chu Long Tham¹, Hang Li Seet¹, Sharon Mui Ling Nai¹, David William Rosen^1,2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.3, pp. 1-2, 2024, DOI:10.32604/icces.2024.012040

Abstract The emergence of 4D printing introduces stimuli-responsive, shape-changing capabilities through additive manufacturing (AM) and smart materials, has advanced the field of soft robotics. However, there are currently lack of methods or tools that capable of aiding in the generative design of 4D AM structures. The current generative design procedure for 4D AM structures often lacks transferability among various structures due to limited understanding of shape memory material behaviors for soft robotics. To develop such a digital library, investigation of fundamental elements, such as material properties of shape memory materials, geometry parameters of design primitives, and… More >

Abdil Hakan Eren^*

Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 2883-2907, 2024, DOI:10.32604/phyton.2024.058627 - 30 November 2024

Abstract Background: Aldehyde dehydrogenase (ALDH) genes constitute an important family of supergenes that play key roles in synthesizing various biomolecules and maintaining cellular homeostasis by catalyzing the oxidation of aldehyde products. With climate change increasing the exposure of plants to abiotic stresses such as salt and drought, ALDH genes have been identified as important contributors to stress tolerance. In particular, they help to reduce stress-induced lipid peroxidation. Objectives: This study aims to identify and characterize members of the ALDH supergene family in Phaseolus vulgaris through a genome-wide bioinformatic analysis and investigate their role in response to abiotic stressors such… More >

Kiyoaki T. Suzuki^1,*, Sylvain Dancette², Shun Tokita³, Yutaka S. Sato⁴

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.012072

Abstract Dissimilar welding of aluminum (Al) alloy to steel has been a long-running scientific and technological problem mainly for the automotive industry. It would allow to achieve new designs of optimized vehicle structures combining strength, lightweight and energy absorption ability. However, the weld strength is limited because of a brittle intermetallic layer (IML) formed at the weld interface. In our previous study, we demonstrated a significant improvement in weld strength by the addition of Ni to aluminum alloy. However, the effect of Ni addition on the fracture properties of IML remains unexplored. Moreover, additional Ni should… More >

Xiayun Zhao^1,*, Yue Zhang¹, Heyang Zhang¹, Yousra Bensouda¹, Md Jahangir Alam¹, Haolin Zhang¹, Yiquan Wang¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-2, 2024, DOI:10.32604/icces.2024.011485

Abstract Vat photopolymerization (VPP) among other additive manufacturing (AM) processes have a great potential to rapidly print complex 3D components out of a matrix of photo-curable resin. Current VPP processes utilize single-wavelength light exposure, imposing limitations on print speed and throughput, especially in multi-material AM. This is attributed to delays in material switch-over mechanisms. Additionally, the resolution of conventional single-wavelength VPP is constrained by over-curing. Despite ongoing efforts and progress in VPP, there remains a need for effective approaches to address these persistent issues. In this work, we report our development of two-wavelength digital light processing-based… More >

Zhi Li¹, Yufei Zhao², Yueming Ji², Hanwen Gu², Zaibin Jiao^2,*

Energy Engineering, Vol.121, No.12, pp. 3899-3927, 2024, DOI:10.32604/ee.2024.055899 - 22 November 2024

Abstract By integrating advanced digital technologies such as cloud computing and the Internet of Things in sensor measurement, information communication, and other fields, the digital DC distribution network can efficiently and reliably access Distributed Generator (DG) and Energy Storage Systems (ESS), exhibiting significant advantages in terms of controllability and meeting requirements of Plug-and-Play (PnP) operations. However, during device plug-in and -out processes, improper system parameters may lead to small-signal stability issues. Therefore, before executing PnP operations, conducting stability analysis and adjusting parameters swiftly is crucial. This study introduces a four-stage strategy for parameter optimization to enhance… More >

Juhwan Kim, Baehoon Son, Jihyeon Yu, Joobeom Yun^*

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 3371-3393, 2024, DOI:10.32604/cmc.2024.057234 - 18 November 2024

Abstract Digital forensics aims to uncover evidence of cybercrimes within compromised systems. These cybercrimes are often perpetrated through the deployment of malware, which inevitably leaves discernible traces within the compromised systems. Forensic analysts are tasked with extracting and subsequently analyzing data, termed as artifacts, from these systems to gather evidence. Therefore, forensic analysts must sift through extensive datasets to isolate pertinent evidence. However, manually identifying suspicious traces among numerous artifacts is time-consuming and labor-intensive. Previous studies addressed such inefficiencies by integrating artificial intelligence (AI) technologies into digital forensics. Despite the efforts in previous studies, artifacts were… More >

Ziyu Xu¹, Kuo Tian^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011245

Abstract Considering experimental testing data is costly, and sensor data is often sparse, while simulation analysis provides overall strength information with lower accuracy, a digital twin framework is proposed for full-field structural strength assessment and prediction. The framework is mainly divided into two stages. In the offline stage, the simulation model of the structure is established, and the sensor layouts are completed. Then, the DNN pre-training model is constructed based on the reduced simulation data. In the online stage, the experimentally measured data are predicted to obtain the time-series sensors data, and the traditional transfer learning… More >

Ilsun You^1,*, Xiaofeng Chen², Vishal Sharma³, Gaurav Choudhary⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.3, pp. 1907-1909, 2024, DOI:10.32604/cmes.2024.058939 - 31 October 2024

Abstract This article has no abstract. More >

Qianqian Zhang^1,2,3, Yi Zhang^1,2, Yuanyuan Ma³, Yanmei Liu^1,2, Xiangyang Luo^1,2,*

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 105-131, 2024, DOI:10.32604/cmc.2024.055735 - 15 October 2024

Abstract The rapid development of the internet and digital media has provided convenience while also posing a potential risk of steganography abuse. Identifying steganographer is essential in tracing secret information origins and preventing illicit covert communication online. Accurately discerning a steganographer from many normal users is challenging due to various factors, such as the complexity in obtaining the steganography algorithm, extracting highly separability features, and modeling the cover data. After extensive exploration, several methods have been proposed for steganographer identification. This paper presents a survey of existing studies. Firstly, we provide a concise introduction to the More >