De Rosal Ignatius Moses Setiadi^1,2, Nova Rijati^2,*, Ahmad Rofiqul Muslikh³, Bonifacius Vicky Indriyono⁴, Aceng Sambas^5,6

CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 4435-4463, 2024, DOI:10.32604/cmc.2024.058478 - 19 December 2024

Abstract In this paper, we propose a novel secure image communication system that integrates quantum key distribution and hyperchaotic encryption techniques to ensure enhanced security for both key distribution and plaintext encryption. Specifically, we leverage the B92 Quantum Key Distribution (QKD) protocol to secure the distribution of encryption keys, which are further processed through Galois Field (GF(2⁸)) operations for increased security. The encrypted plaintext is secured using a newly developed Hyper 3D Logistic Map (H3LM), a chaotic system that generates complex and unpredictable sequences, thereby ensuring strong confusion and diffusion in the encryption process. This hybrid approach More >

Tianzhe Jiao, Yuming Chen, Zhe Zhang, Chaopeng Guo, Jie Song^*

CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 4307-4325, 2024, DOI:10.32604/cmc.2024.058238 - 19 December 2024

Abstract Multi-modal 3D object detection has achieved remarkable progress, but it is often limited in practical industrial production because of its high cost and low efficiency. The multi-view camera-based method provides a feasible solution due to its low cost. However, camera data lacks geometric depth, and only using camera data to obtain high accuracy is challenging. This paper proposes a multi-modal Bird-Eye-View (BEV) distillation framework (MMDistill) to make a trade-off between them. MMDistill is a carefully crafted two-stage distillation framework based on teacher and student models for learning cross-modal knowledge and generating multi-modal features. It can… More >

Weiwei Hu¹, Kiran Sree Pokkuluri², Rajesh Arunachalam^3,*, Bander A. Jabr⁴, Yasser A. Ali⁴, Preethi Palanisamy⁵

CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 4833-4851, 2024, DOI:10.32604/cmc.2024.055561 - 19 December 2024

Abstract Wireless Sensor Network (WSNs) consists of a group of nodes that analyze the information from surrounding regions. The sensor nodes are responsible for accumulating and exchanging information. Generally, node localization is the process of identifying the target node’s location. In this research work, a Received Signal Strength Indicator (RSSI)-based optimal node localization approach is proposed to solve the complexities in the conventional node localization models. Initially, the RSSI value is identified using the Deep Neural Network (DNN). The RSSI is conceded as the range-based method and it does not require special hardware for the node… More >

Ming Gao¹, Kun Zhou^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.013398

Abstract Inspired by the unidirectional liquid spreading on Nepenthes peristome, Araucaria leaf, butterfly wings, etc., various microfluidic devices have been developed for water collection, irrigation, physical/chemical reaction, and oil–water separation [1-3]. Despite extensive progress, most natural and artificial structures fail to enhance the Laplace pressure difference or capillary force, thus suffering from a low unidirectional capillary height (< 30 mm). In this work, asymmetric re-entrant structures with long overhangs and connected forward/lateral microchannels are fabricated by three-dimensional (3D) printing, resulting in a significantly increased unidirectional capillary height of 102.3 mm for water, which approximately corresponds to the More >

Xiaocong Tian^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.2, 2024, DOI:10.32604/icces.2024.011810

Abstract With the ever-growing demand for miniature electronics and portable devices, the need for new types of micro-sized, low-cost and high-performance electrochemical energy storage devices becomes a cutting-edge research frontier. Advanced manufacturing technology (such as 3D printing) has brought broad application prospects and new opportunities to the construction of advanced electrochemical energy storage materials and devices. With a focus on “advanced manufacturing of new energy storage materials and devices”, we carried out interdisciplinary research on 3D/4D printing of wearable miniature batteries and supercapacitors, integrable energy devices and systems. Notably, a universal 3D printing approach towards advanced More >

Zhanhua Wang^1,*, Hesheng Xia¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012859

Abstract Selective laser sintering (SLS) is one of the mainstream 3D printing technologies. A major challenge for SLS technology is the lack of novel polymer powder materials with improved Z-direction strength. Herein, a series of polymer materials with covalent adaptable networks structure were utilized to solve the challenge of SLS. To verify this concept, novel kinds of cross-linked polyurethanes (TPU) or polydimethylsiloxane (PDMS) elastomers containing dynamic covalent bonds including halogenated bisphenol carbamate bonds [1], hindered pyrazole urea bonds [2] or Diels–Alder bonds [3] were synthesized. The obtained dynamic TPU or PDMS exhibited excellent mechanical strength and More >

Qi Gu^1,2,3,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012648

Abstract In the complex field of organ fabrication, which combines developmental biology, bioinspired engineering, and regenerative medicine, the main goal is to closely mimic the detailed structure and function of natural organs. While advanced techniques like 3D bioprinting have made significant strides but often fall short in accurately emulating the dynamic, self-organizing processes fundamental to organogenesis, particularly the nuanced patterns of cellular motility and spatial organization [1]. This issue highlights a big challenge in tissue engineering: making synthetic organs that truly match their natural models. Our work aims to bring together principles of developmental biology with… More >

Beng-Loon Aw^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.011990

Abstract This study introduces a novel method that combines Binder Jet Printing (BJP) and Selective Laser Melting (SLM) techniques to achieve unprecedented high-speed and high-resolution 3D printing of fine metal powders in Laser Powder Bed Fusion (LPBF). Our approach comfortably attains a resolution of 0.2 mm, enabling the selective deposition of fine powder (D50: 30 µm) made from multiple materials within a single print layer. We demonstrate the capability of this technique through the printing of a composite structure composed of copper alloy and 18Ni300 Maraging tool steel, showcasing its potential for fast-cooling tooling applications. The More >

Meixin Zhou¹, Jia Shin Lee², Kun Zhou^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.011064

Abstract 3D printing of metamaterials has garnered significant attention in recent years, as metamaterials, especially the triple periodic minimal surface (TPMS) structures, are engineered to exhibit extraordinary properties. However, challenges such as limited structural designs and lack of real-world applications have restrained the development of 3D printed metamaterials. Herein, a series of TPMS structures were designed and printed via selective laser sintering, and their mechanical energy absorption capabilities under the quasi-static compression condition were compared. Novel TPMS structures were then designed by blending the investigated TPMS structures, and their compressive properties and deformation mechanism were explored. 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 >