Special Issue "Algorithms for Computer-Aided Design"

A special issue of Algorithms (ISSN 1999-4893).

Deadline for manuscript submissions: 20 November 2019.

Special Issue Editor

Guest Editor
Prof. Dr. Giovanni Berselli Website E-Mail
DIME Department, University of Genoa, Via Balbi, 5, 16126 Genova, Italy
Interests: CAD/CAE-based design of mechatronic systems; multi-disciplinary optimization methods; virtual prototyping; digital twins for I4.0

Special Issue Information

Dear Colleagues,

Computer-Aided Design (CAD), Engineering (CAE), and Manufacturing (CAM) software have unquestionably become essential tools for product design. CAD/CAE/CAM technologies are extensively used in several fields, including aerospace, automotive, earth-moving machines, and automated plants. Virtual prototypes can simulate mechanical and mechatronic systems, starting from the geometrical and parametric representation of parts, the study of complex devices during their motion (i.e., multibody analysis), the verification and, possibly, the optimization of their structural behavior (stresses and deformations), up to the simulation of the overall production process (digital factory). In the current literature, it is claimed that modern CAD/CAE/CAM may become so advanced that it will be possible to emulate complex systems with a degree of reliability comparable to physical testing. This Special Issue aims at providing an opportunity for researchers within academia and industry to share recent advances in the field, with special attention to algorithms and methodologies allowing integration of software tools from different domains (e.g., multi-body modeling, co-simulation frameworks, digital factory tools).

Prof. Dr. Giovanni Berselli
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • CAD/CAM/CAE applications and algorithms
  • Advanced algorithms for geometric modeling
  • Integration of CAD/CAE methods and tools into engineering design processes
  • CAE-centric design approaches
  • Applications of flexible multi-body dynamics tools
  • Virtual prototyping (VP) for complex products
  • CAD/CAE methods and tools for multi-disciplinary and cooperative design

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Open AccessArticle
Breast Microcalcification Detection Algorithm Based on Contourlet and ASVM
Algorithms 2019, 12(7), 135; https://doi.org/10.3390/a12070135 - 30 Jun 2019
Abstract
Microcalcification is the most important landmark information for early breast cancer. At present, morphological artificial observation is the main method for clinical diagnosis of such diseases, but it is easy to cause misdiagnosis and missed diagnosis. The present study proposes an algorithm for [...] Read more.
Microcalcification is the most important landmark information for early breast cancer. At present, morphological artificial observation is the main method for clinical diagnosis of such diseases, but it is easy to cause misdiagnosis and missed diagnosis. The present study proposes an algorithm for detecting microcalcification on mammography for early breast cancer. Firstly, the contrast characteristics of mammograms are enhanced by Contourlet transformation and morphology (CTM). Secondly, split the ROI by the improved K-means algorithm. Thirdly, calculate grayscale feature, shape feature, and Histogram of Oriented Gradient (HOG) for the ROI region. The Adaptive support vector machine (ASVM) is used as a tool to classify the rough calcification point and the false calcification point. Under the guidance of a professional doctor, 280 normal images and 120 calcification images were selected for experimentation, of which 210 normal images and 90 images with calcification images were used for training classification. The remaining 100 are used to test the algorithm. It is found that the accuracy of the automatic classification results of the Adaptive support vector machine (ASVM) algorithm reaches 94%, and the experimental results are superior to similar algorithms. The algorithm overcomes various difficulties in microcalcification detection and has great clinical application value. Full article
(This article belongs to the Special Issue Algorithms for Computer-Aided Design)
Show Figures

Figure 1

Back to TopTop