Annan Yang¹, Jiawei Zhang^2,*, Haojie Yang^3,*, Keyi Tao¹, Mengna Xu¹, Yuyu Zhao¹

Journal on Big Data, Vol.6, pp. 21-41, 2024, DOI:10.32604/jbd.2024.057612 - 31 December 2024

Abstract This study introduces an electric vehicle charging station layout optimization method utilizing Point of Interest (POI) data, addressing traditional design limitations. It details the acquisition and visualization of POI data for Yancheng’s key locations and charging stations. Employing a hybrid K-Means and Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm, the study determines areas requiring optimization through location entropy and overlap analysis. The research shows that the integrated clustering approach can efficiently guide the fair distribution of charging stations, enhancing service quality and supporting the sustainable growth of the electric vehicle sector. More >

Dayong Wang^1,*, Kamalrulnizam Bin Abu Bakar¹, Babangida Isyaku², Liping Lei³

CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 4465-4483, 2024, DOI:10.32604/cmc.2024.059616 - 19 December 2024

Abstract In recent years, task offloading and its scheduling optimization have emerged as widely discussed and significant topics. The multi-objective optimization problems inherent in this domain, particularly those related to resource allocation, have been extensively investigated. However, existing studies predominantly focus on matching suitable computational resources for task offloading requests, often overlooking the optimization of the task data transmission process. This inefficiency in data transmission leads to delays in the arrival of task data at computational nodes within the edge network, resulting in increased service times due to elevated network transmission latencies and idle computational resources.… More >

Juliet A. Murali^1,*, Brindha T.²

CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 4659-4690, 2024, DOI:10.32604/cmc.2024.058115 - 19 December 2024

Abstract Infrastructure as a Service (IaaS) in cloud computing enables flexible resource distribution over the Internet, but achieving optimal scheduling remains a challenge. Effective resource allocation in cloud-based environments, particularly within the IaaS model, poses persistent challenges. Existing methods often struggle with slow optimization, imbalanced workload distribution, and inefficient use of available assets. These limitations result in longer processing times, increased operational expenses, and inadequate resource deployment, particularly under fluctuating demands. To overcome these issues, a novel Clustered Input-Oriented Salp Swarm Algorithm (CIOSSA) is introduced. This approach combines two distinct strategies: Task Splitting Agglomerative Clustering (TSAC)… More >

Xirui Yang, Chen Zhang^*

CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 3781-3804, 2024, DOI:10.32604/cmc.2024.057131 - 19 December 2024

Abstract User location trajectory refers to the sequence of geographic location information that records the user’s movement or stay within a period of time and is usually used in mobile crowd sensing networks, in which the user participates in the sensing task, the process of sensing data collection faces the problem of privacy leakage. To address the privacy leakage issue of trajectory data during uploading, publishing, and sharing when users use location services on mobile smart group sensing terminal devices, this paper proposes a privacy protection method based on generative adversarial networks and attention mechanisms (BiLS-A-GAN).… More >

Hideki Mori^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012935

Abstract To design the mechanical strength of iron, it is very important to clarify the detail of dislocation dynamics in Body-Centered Cubic (BCC) Iron. The dislocation core structures are typically confined to the nanometer scale.
This implies that the resistance force from discrete atomic columns has a direct bearing on dislocation mobility.
Recently, we've developed a high-fidelity inter-atomic potential leveraging neural networks built upon density functional theory (DFT) data. By conducting dislocation dynamics simulations, we've addressed shortcomings inherent in classical inter-atomic potential approaches. Nonetheless, a significant challenge persists: a three- to four-fold deviation exists between More >

Yoshitaka Umeno^1,*, Atsushi Kubo², Emi Kawai¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-2, 2024, DOI:10.32604/icces.2024.012708

Abstract Fatigue fracture accounts for a substantial fraction of failure cases in industrial products, especially in metal materials. While the mechanism of fatigue crack propagation can be understood in the mechanical point of view considering the effect of microstructures and crystal orientations on crack growth, there is still much room for investigations of the mechanism of fatigue crack formation under cyclic loading. It is widely understood that the fatigue crack formation in macroscopic metal materials originates in the persistent slip band (PSB) formed as a result of self-organization of dislocation structures [1]. Nevertheless, the PSB formation… More >

Ivan Couée^*

Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 2707-2714, 2024, DOI:10.32604/phyton.2024.058101 - 30 November 2024

Abstract The 15-carbon terpenoid abscisic acid (ABA) acts in vascular plants as a versatile hormone playing essential roles in reproductive development, vegetative development and growth, stress-development interactions, and physiological responses to abiotic and biotic stresses. Over the past 60 years, ABA dynamics, regulation, and responses have been progressively characterized: synthesis, transport and translocation, conjugation and deconjugation, metabolism, sensing, signal transduction, and downstream responses. In this context, the discovery of ABA exporters and importers has added novel dimensions to the understanding of ABA regulation. Moreover, since the initial discovery of the adenosine triphosphate-binding cassette (ABC) AtABCG25 exporter… More >

Jiaqin Xu¹, Shuhei Shinzato¹, Shihao Zhang¹, Fan-Shun Meng¹, Shigenobu Ogata^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.1, pp. 1-2, 2024, DOI:10.32604/icces.2024.011814

Abstract Hydrogen has the potential to be the clean energy solution to achieve the sustainable development goals (SDGs). However, from preparation to utilization, the hydrogen embrittlement can not be neglected. Hydrogen embrittlement occurs as a result of hydrogen affecting dislocations motion and cracks opening. Dislocation motion in hydrogen environment has not been clarified although several mechanisms have been proposed, including the hydrogen enhanced decohesion (HEDE), the hydrogen enhanced macroscopic ductility (HEMP), the hydrogen enhanced local plastic model (HELP), etc. It is essential to comprehend the underlying hydrogen-dislocation interactions that cause embrittlement. Also, dynamics of dislocation motion… More >

Chi-Chou Kao^1,*, Hung-Yi Lin²

Computer Systems Science and Engineering, Vol.48, No.6, pp. 1581-1594, 2024, DOI:10.32604/csse.2024.055073 - 22 November 2024

Abstract Layout synthesis in quantum computing is crucial due to the physical constraints of quantum devices where quantum bits (qubits) can only interact effectively with their nearest neighbors. This constraint severely impacts the design and efficiency of quantum algorithms, as arranging qubits optimally can significantly reduce circuit depth and improve computational performance. To tackle the layout synthesis challenge, we propose an algorithm based on integer linear programming (ILP). ILP is well-suited for this problem as it can formulate the optimization objective of minimizing circuit depth while adhering to the nearest neighbor interaction constraint. The algorithm aims… More >

Jingbo Zhang¹, Qiong Wu^1,*, Pingyi Fan², Qiang Fan³

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 1953-1998, 2024, DOI:10.32604/cmc.2024.057006 - 18 November 2024

Abstract Federated Edge Learning (FEL), an emerging distributed Machine Learning (ML) paradigm, enables model training in a distributed environment while ensuring user privacy by using physical separation for each user’s data. However, with the development of complex application scenarios such as the Internet of Things (IoT) and Smart Earth, the conventional resource allocation schemes can no longer effectively support these growing computational and communication demands. Therefore, joint resource optimization may be the key solution to the scaling problem. This paper simultaneously addresses the multifaceted challenges of computation and communication, with the growing multiple resource demands. We… More >