Applied and Computational Engineering

Open access

Print ISSN: 2755-2721

Online ISSN: 2755-273X

About ACE

The 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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Editors View full editorial board

Yilun Shang
Northumbria University
United Kingdom
Editorial Board
Bilyaminu Auwal Romo
University of East London
United Kingdom
Editorial Board
Nicola Antonio Roberto Amato
University of Alberta
Canada
Editorial Board
Mian Umer Shafiq
UCSI University
Malaysia
Editorial Board

Latest articles View all articles

Research Article
Published on 4 September 2024 DOI: 10.54254/2755-2721/91/20241101
Zhihan Liao

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.

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Liao,Z. (2024).Future development trend of batteries for electric vehicles.Applied and Computational Engineering,91,41-45.
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Research Article
Published on 4 September 2024 DOI: 10.54254/2755-2721/91/20241071
Zixuan Wang

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.

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Wang,Z. (2024).Bayesian updating of truss structures using OpenSees.Applied and Computational Engineering,91,33-40.
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Research Article
Published on 4 September 2024 DOI: 10.54254/2755-2721/91/20241104
Keyi Ding

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.

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Ding,K. (2024).Design of an Intelligent Pen Based on Vector Magnetic Sensing.Applied and Computational Engineering,91,27-32.
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Research Article
Published on 4 September 2024 DOI: 10.54254/2755-2721/91/20241107
Boyang Sun

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.

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Sun,B. (2024).Advances and Prospects of 3D Semiconductor Nanocomposite Materials for Solar Cells in Renewable Energy.Applied and Computational Engineering,91,21-26.
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Volumes View all volumes

Volume 91September 2024

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Proceedings 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

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Proceedings 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

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Proceedings 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

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Proceedings 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

Indexing

The published articles will be submitted to following databases below: