About ACEThe proceedings series Applied and Computational Engineering (ACE) is an international peer-reviewed open access series that publishes conference proceedings from various methodological and disciplinary perspectives concerning engineering and technology. The series contributes to the development of computing sectors by providing an open platform for sharing and discussion. The series publishes articles that are research-oriented and welcomes theoretical and applicational studies. Proceedings that are suitable for publication in the ACE cover domains on various perspectives of computing and engineering. |
Aims & scope of ACE are: ·Computing ·Machine Learning ·Electrical Engineering & Signal Processing ·Applied Physics & Mechanical Engineering ·Chemical & Environmental Engineering ·Materials Science and Engineering |
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A one-time Article Processing Charge (APC) of 450 USD (US Dollars) applies to papers accepted after peer review. excluding taxes.
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This is an open access journal which means that all content is freely available without charge to the user or his/her institution. (CC BY 4.0 license).
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Peer-review process
Our blind and multi-reviewer process ensures that all articles are rigorously evaluated based on their intellectual merit and contribution to the field.
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United Kingdom
United Kingdom
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Latest articles View all articles
Environmental pollution and energy crisis have become the focus of global attention and urgent issues to be solved. To address these challenges, electric vehicles have emerged. Nowadays, some studies has gradually solved the problem of environmental pollution. However, these studies not note the performance issues with batteries. This article note the cruising range, the charging time and the Battery recycling and reuse technology. Thus the development of batteries will lead to a bright future.
The study of Bayesian updating of truss structures using The Open System for Earthquake Engineering Simulation (OpenSees) can not only promote the application of Bayesian methods in structural engineering, but also provide a strong support for structural health monitoring in practical engineering. This paper proposes a method of Bayesian updating of truss structures using OpenSees to improve the accuracy of structural analysis and prediction. Based on OpenSees, a finite element model with a truss structure as an example is established, the basic parameters such as nodes, units, material properties and boundary conditions are defined, and the prior distributions of the initial parameters are set by empirical judgment. After collecting observational data such as structural response, Bayes' theorem is utilized to combine the a priori distribution with the observational data to update the parameter estimates. The posterior estimates of the parameters are obtained by constructing the likelihood function and applying the Monte Carlo method to sample from the posterior distribution. Numerical simulations are performed using the updated parameters, and the simulation results are compared with the observed data to verify the accuracy and reliability of the model. Finally, structural damage identification is performed based on the updated model. The methodology in this paper provides a systematic framework to dynamically update and optimize the truss structural model by continuously incorporating new data, significantly improving the prediction's accuracy and reliability.
In the era of interconnected devices, as the intelligence of equipment deepens, human-computer interaction models are continually evolving. People are no longer satisfied with traditional pen-and-paper methods and seek ways to take notes that can be saved and accessed in the cloud at any time. Among smart writing devices, smart pens are critical components. Most current smart pens utilize infrared cameras to capture high-frequency images, recording the coordinates of strokes as they traverse specific coded points. This positioning method requires special paper and has drawbacks such as high costs and low sensitivity. Addressing the shortcomings of common positioning methods, this paper proposes a magnetic positioning method. By establishing an array of magnetic sensors, it aims to achieve precise tracking of the smart pen's tip. The paper first explores the basic magnetic field theory of permanent magnets and introduces the fundamental theory of magnetic dipoles, followed by a discussion on classical magnetic positioning theory. Additionally, the paper analyzes the sources of error in magnetic sensors. Finally, it describes the use of MATLAB to design an app for the real-time calculation and display of handwriting.
With the escalating environmental pressures, the multifaceted characteristics of 3D materials in terms of energy utilization and stability have attracted widespread attention. This paper employs literature research, surveys, and descriptive research methods to discuss how 3D composite nanomaterials promote further innovation in new solar cells and their application in practical situations. The article mainly focuses on 2D/3D perovskite solar cells, multi-walled carbon nanomaterials, and three-dimensional ordered macroporous materials (3DOM) and deeply explores their roles in various battery frameworks. The research finds that the incorporation of 3D composite nanomaterials has promoted progress in solar cells in terms of conversion efficiency and high transmission speed, but there are still great challenges in terms of popularization and stability. It also emphasizes their far-reaching impact on promoting sustainable energy development. This paper not only provides insights into cutting-edge research but also highlights the profound impact that the development of 3D nanomaterials has on advancing sustainable energy development options. Unlocking the full potential of three-dimensional nanomaterials through interdisciplinary cooperation holds great promise for solving energy problems and creating new fields.
Volumes View all volumes
Volume 91September 2024
Find articlesProceedings of the 2nd International Conference on Functional Materials and Civil Engineering
Conference website: https://www.conffmce.org/
Conference date: 23 August 2024
ISBN: 978-1-83558-619-8(Print)/978-1-83558-620-4(Online)
Editor: Ömer Burak İSTANBULLU
Volume 90August 2024
Find articlesProceedings of Privacy-Preserving Intrusion Detection: Empowering Security with Federated Learning - CONFCDS 2024
Conference website: https://2024.confcds.org/
Conference date: 12 September 2024
ISBN: 978-1-83558-609-9(Print)/978-1-83558-610-5(Online)
Editor: Alan Wang, Roman Bauer
Volume 89August 2024
Find articlesProceedings of the 2nd International Conference on Functional Materials and Civil Engineering
Conference website: https://www.conffmce.org/
Conference date: 23 August 2024
ISBN: 978-1-83558-605-1(Print)/978-1-83558-606-8(Online)
Editor: Ömer Burak İSTANBULLU
Volume 88August 2024
Find articlesProceedings of the 6th International Conference on Computing and Data Science
Conference website: https://2024.confcds.org/
Conference date: 12 September 2024
ISBN: 978-1-83558-603-7(Print)/978-1-83558-604-4(Online)
Editor: Roman Bauer, Alan Wang
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