Article
Engineering, Multidisciplinary
Thomas Takacs, Deepesh Toshniwal
Summary: Isogeometric Analysis is a generalization of classical finite element analysis that aims to integrate it with Computer-Aided Design. In this article, a novel spline construction is presented, which enables model reconstruction and simulation of high-order PDEs. The proposed splines have smooth properties and can be used to solve fourth-order problems on unstructured quadrilateral meshes. They also have several desirable properties and can be easily implemented.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Mathematics
Syed Khawar Nadeem Kirmani, Muhammad Bilal Riaz, Fahd Jarad, Hayder Natiq Jasim, Aytekin Enver
Summary: In a recent article, a piecewise cubic fractional spline function is developed to ensure C-1 continuity to given data points, while also preserving a C-2 interpolant continuity class for visually pleasing piecewise curves. The behavior of the resulting representations is analyzed with respect to variation of the shape control parameters t and s, with the data points required to be strictly monotonic along the real line.
JOURNAL OF MATHEMATICS
(2021)
Article
Computer Science, Software Engineering
Kestutis Karciauskas, Jorg Peters
Summary: Multi-sided faces can arise in polyhedral modeling when introducing features that do not align with the regular grid structure. By splitting the n-gon into n quadrilaterals and connecting them at the n-gon's centroid, the shape of the surfaces can be improved. A new alternative face (and edge) rule shows noticeable improvement in the shape of surfaces controlled by the refined mesh.
COMPUTERS & GRAPHICS-UK
(2022)
Article
Computer Science, Software Engineering
Javier Sanchez-Reyes
Summary: The weights of rational Bezier curves are not true independent shape factors due to their lack of invariance under Moebius reparametrization. However, there exist shape factors that are associated with each inner control point and can be computed as the ratio of weight ratios for three consecutive control points. These shape factors provide a more localized shape control and can be controlled geometrically by setting the conic rho-factor via moving the associated shoulder point.
COMPUTER-AIDED DESIGN
(2023)
Article
Engineering, Multidisciplinary
Krunal Raval, Carla Manni, Hendrik Speleers
Summary: Tchebycheffian splines are smooth piecewise functions drawn from Tchebycheff spaces and possess properties similar to polynomial splines. Tchebycheffian B-splines (TB-splines), which are basis functions for Tchebycheffian splines, offer a flexible and robust environment. A subclass of Tchebycheffian splines with pieces in null-spaces of linear differential operators allows the combination of polynomials with exponential and trigonometric functions. This paper explores the use of TB-splines as an attractive alternative to standard polynomial B-splines and rational NURBS in isogeometric Galerkin methods.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Computer Science, Software Engineering
Kestutis Karciauskas, Jorg Peters
Summary: This paper explores the minimal polynomial degree for smooth construction of multi-sided surfaces, ensuring more flexibility under refinement. The degree bi-4 is both necessary and sufficient for flexibility-increasing in spline complexes, proven by two alternative constructions demonstrating good highlight line distributions.
COMPUTER-AIDED DESIGN
(2021)
Article
Computer Science, Information Systems
Min Tan, Fu Yuan, Jun Yu, Guijun Wang, Xiaoling Gu
Summary: In this article, a novel approach called Multi-scale Selective Hierarchical biQuadratic Pooling (MSHQP) is proposed for fine-grained image classification. The MSHQP method models both intra and inter layer feature interactions and enhances part response by integrating multi-layer features. It also incorporates a coarse-to-fine multi-scale interaction structure and an active interaction selection module to capture complementary information and learn the optimal interaction subset. Experimental results demonstrate that MSHQP achieves competitive or even better performance compared to state-of-the-art methods.
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS
(2022)
Article
Polymer Science
Brenda G. Molina, Guillermo Ocon, Fiorella M. Silva, Jose I. Iribarren, Elaine Armelin, Carlos Aleman
Summary: This study presents an investigation on the shape memory effect of extruded polylactic acid (PLA) and polycaprolactone (PCL) blends. The blends were transformed into films and movable components of articulated specimens using hot pressing and 3D printing. The chemical structure, wettability, thermal properties, and mechanical response of the blends were evaluated and compared with neat PLA and PCL.
EUROPEAN POLYMER JOURNAL
(2023)
Article
Polymer Science
Reinhold Pommer, Robert Saf, Ralf Supplit, Armin Holzner, Harald Plank, Gregor Trimmel
Summary: This study reports a versatile and cost-effective manufacturing method for shape-memory polymers (SMPs) based on binary elastomer-thermoplastic blends. The SMPs showed efficient thermo-responsive dual-shape-memory and promising multi-shape-memory features, making them suitable for applications such as soft robotics or biomedical devices.
Article
Mathematics, Applied
Alexis Goujon, Shayan Aziznejad, Alireza Naderi, Michael Unser
Summary: Generalized sampling involves the recovery of a function from response samples of linear shift-invariant systems, where the reconstructed function belongs to an integer shift-invariant space that can reproduce polynomials up to a given degree M. While it has high approximation power, there is a tradeoff on the length of the support of basis functions. The concept of the shortest-support basis aims to minimize computational costs and generates a Riesz basis.
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
(2021)
Article
Computer Science, Software Engineering
Hendrik Speleers
Summary: Multi-degree Tchebycheffian splines are splines composed of pieces from extended Tchebycheff spaces, and can be represented using a multi-degree Tchebycheffian B-spline basis. This article presents a practical framework and MATLAB implementation for computing, differentiating, and visualizing multi-degree Tchebycheffian splines.
ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE
(2022)
Article
Computer Science, Artificial Intelligence
Mengtao Huang, Yiyi Wan, Zhenwei Gao, Jiaxuan Wang
Summary: This paper proposes a real-time traffic sign detection network based on the Anchor-free mechanism, which solves the trade-off between speed and accuracy in traffic sign detection through reparameterization and the introduction of the SIoU position regression loss function. Experimental results demonstrate that the model achieves fast and efficient traffic sign detection on different hardware platforms.
JOURNAL OF REAL-TIME IMAGE PROCESSING
(2023)
Article
Computer Science, Information Systems
Jingling Yuan, Nana Wang, Siqi Cai, Chunpeng Jiang, Xinping Li
Summary: The detection of cracks in structural facilities is crucial for infrastructure maintenance and public safety. However, running deep neural networks on real-time monitoring devices with limited computing and storage capacity is challenging. Lightweight models often fail to accurately detect cracks in low-quality environments. To address this issue, we propose a structural re-parameterization enhanced lightweight segmentation model for crack detection in low-quality environments. The model utilizes a bilateral structure and employs different multi-scale network construction units to enhance robustness and performance. It also reduces computational complexity for better deployment on low resource monitoring devices. Experimental results demonstrate that our model achieves good performance with lower complexity compared to the BiSeNetV2 model.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Dvir Gilor, Rica Gonen, Erel Segal-Halevi
Summary: In two-sided markets, maximizing gain-from-trade while maintaining truthfulness, individual-rationality and no deficit is impossible according to Myerson and Satterthwaite's theorem. However, approximating maximum gain-from-trade can be achieved through truthful and deficit-free double-sided auctions. Multi-agent categories in multilateral markets offer a more diverse and complex trading environment compared to traditional two-sided markets, with additional requirements such as buyers trading with multiple sellers and sellers trading with multiple buyers.
ARTIFICIAL INTELLIGENCE
(2021)
Article
Computer Science, Artificial Intelligence
Dvir Gilor, Rica Gonen, Erel Segal-Halevi
Summary: We propose an ascending-price mechanism for multi-sided markets that addresses the issue of multiple intersecting markets, ensuring fairness and balance, and achieving nearly optimal gain-from-trade when the market size is sufficient. We evaluated the performance of this mechanism using real stock market data and synthetic data.
ARTIFICIAL INTELLIGENCE
(2023)
Article
Computer Science, Software Engineering
Kestutis Kartiauskas, Joerg Peters
COMPUTER-AIDED DESIGN
(2018)
Article
Computer Science, Software Engineering
Kestutis Karciauskas, Jorg Peters
COMPUTERS & GRAPHICS-UK
(2018)
Editorial Material
Computer Science, Software Engineering
Jorg Peters
COMPUTERS & GRAPHICS-UK
(2018)
Article
Computer Science, Software Engineering
Aysegul Ozkan, Rahul Prabhu, Troy Baker, James Pence, Jorg Peters, Meera Sitharam
ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE
(2018)
Article
Computer Science, Software Engineering
Kestutis Karciauskas, Jorg Peters
COMPUTER AIDED GEOMETRIC DESIGN
(2019)
Article
Computer Science, Software Engineering
Kestutis Karciauskas, Jorg Peters
COMPUTERS & GRAPHICS-UK
(2019)
Article
Computer Science, Software Engineering
K. Karciauskas, J. Peters
COMPUTER GRAPHICS FORUM
(2019)
Article
Computer Science, Software Engineering
Kestutis Karciauskas, Jorg Peters
COMPUTER-AIDED DESIGN
(2019)
Article
Computer Science, Software Engineering
Meera Sitharam, Jeremy Youngquist, Maxwell Nolan, Jorg Peters
COMPUTER-AIDED DESIGN
(2019)
Article
Education, Scientific Disciplines
Heather Lesch, Evan Johnson, Jorg Peters, Juan C. Cendan
JOURNAL OF SURGICAL EDUCATION
(2020)
Article
Computer Science, Software Engineering
Jorg Peters
COMPUTER AIDED GEOMETRIC DESIGN
(2020)
Article
Computer Science, Software Engineering
Kestutis Karciauskas, Jorg Peters
COMPUTER AIDED GEOMETRIC DESIGN
(2020)
Article
Computer Science, Software Engineering
Kestutis Karciauskas, Jorg Peters
COMPUTER-AIDED DESIGN
(2020)
Article
Computer Science, Software Engineering
Kestutis Karciauskas, Jorg Peters
COMPUTER AIDED GEOMETRIC DESIGN
(2020)
Article
Computer Science, Software Engineering
Kestutis Karciauskas, Jorg Peters
COMPUTER GRAPHICS FORUM
(2018)
Article
Computer Science, Software Engineering
Rafael Maio, Tiago Araujo, Bernardo Marques, Andre Santos, Pedro Ramalho, Duarte Almeida, Paulo Dias, Beatriz Sousa Santos
Summary: Augmented Reality (AR) is a crucial technology in Industry 4.0 and smart manufacturing, particularly in the field of data monitoring. In this study, we developed a Pervasive AR tool for data monitoring, along with a web application for comparison purposes. User studies were conducted to gather feedback and evaluate the effectiveness of the systems, confirming the potential of Pervasive AR for data monitoring.
COMPUTERS & GRAPHICS-UK
(2024)
Article
Computer Science, Software Engineering
Berk Cebeci, Mehmet Bahadir Askin, Tolga K. Capin, Ufuk Celikcan
Summary: Despite advances in virtual reality technologies, extended VR sessions with head-mounted displays (HMDs) still face challenges in terms of comfort. In this study, a methodology using gaze-directed and visual saliency-guided paradigms for automatic stereo camera control in real-time interactive VR was proposed. The results showed that the gaze-directed approach outperformed the saliency-guided approach, both improving the overall depth feeling without hindering visual comfort in the tested virtual environments (VEs).
COMPUTERS & GRAPHICS-UK
(2024)
Article
Computer Science, Software Engineering
Ali Egemen Tasoren, Ufuk Celikcan
Summary: By developing the NOVAction engine, we have created the NOVAction23 dataset, which consists of highly diversified and photorealistic synthetic human action sequences. This dataset is significant in improving the performance of human action recognition.
COMPUTERS & GRAPHICS-UK
(2024)
