Article
Geography
Maxime Colomb, Cecile Tannier, Julien Perret, Paul Chapron, Mickael Brasebin
Summary: This article introduces a free software application called Parcel Manager, which aims to assess the effects of different parcel reshaping rules and planning principles on the location, number, and shape of reshaped parcels, as well as provide a basis for assessing the potential for new building construction.
TRANSACTIONS IN GIS
(2022)
Article
Engineering, Mechanical
Nafiseh Masoudi, Georges Fadel
Summary: This paper proposes a computationally efficient approach to optimize the layout of flexible connectors by minimizing their overall length while maximizing their common length. A Multiobjective Genetic Algorithm is applied to solve the optimization problem and generate a set of non-dominated solutions. The effects of the workspace's geometric structure on the layouts of cable harnesses are also discussed.
JOURNAL OF MECHANICAL DESIGN
(2022)
Review
Energy & Fuels
Arslan A. Rizvi, Syed N. Danish, Abdelrahman El-Leathy, Hany Al-Ansary, Dong Yang
Summary: Central receiver systems are considered efficient in harnessing solar thermal energy, with the heliostat field being a significant component. Designing high efficiency and cost-effective heliostat fields is crucial for minimizing energy costs and environmental impact.
Article
Computer Science, Interdisciplinary Applications
Chong Zhang, Mu-Xuan Tao, Chen Wang, Jian-Sheng Fan
Summary: This research proposes a novel model for generating structural topologies based on manually designed architectural and structural layouts. The model achieves reasonable results in node and edge generation, with high precision and recall, as well as good graph similarity.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2023)
Article
Thermodynamics
Aditya Dhoot, Enrico G. A. Antonini, David A. Romero, Cristina H. Amon
Summary: This study introduces a novel method using probabilistic inference and modeling to generate approximate optimal layouts for wind turbines, maximizing power capacity and reducing computational costs across varying problem sizes.
Article
Engineering, Electrical & Electronic
Jinzhu Zhou, Zhanbiao Yang, Yu Si, Le Kang, Haitao Li, Mei Wang, Zhiya Zhang
Summary: The article presents a trust-region parallel Bayesian optimization (TRPBO) method for simulation-driven antenna design problems, which accelerates solution efficiency and achieves better optimization results with significantly less calculation time. The TRPBO was illustrated and tested on several benchmark problems, demonstrating great potential for solving simulation-driven antenna design problems.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2021)
Article
Computer Science, Interdisciplinary Applications
Anil Yildirim, Charles A. Mader, Joaquim R. R. A. Martins
Summary: The study introduces a method that can deform CFD surface mesh nodes near component intersections, suitable for optimizing geometries with intersecting components. The method can handle arbitrary design changes, is suitable for gradient-based optimization, and achieves high-fidelity design optimization.
ENGINEERING WITH COMPUTERS
(2022)
Article
Engineering, Multidisciplinary
Dario Carbonaro, Francesco Mezzadri, Nicola Ferro, Giuseppe De Nisco, Alberto Luigi Audenino, Diego Gallo, Claudio Chiastra, Umberto Morbiducci, Simona Perotto
Summary: In this study, a novel computational framework is proposed for designing innovative self-expandable femoral stents. The framework includes two-dimensional stent unit cell design using inverse homogenization topology optimization, followed by the construction of the corresponding three-dimensional device. Structural mechanics and computational fluid dynamics simulations are carried out to verify the stent's performance.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Jie Pan, Jingwei Huang, Gengdong Cheng, Yong Zeng
Summary: This paper presents, implements, and evaluates a computational framework for automatic mesh generation based on reinforcement learning (RL). Mesh generation is crucial for numerical simulations in computer-aided design and engineering (CAD/E) and is considered a critical issue in the NASA CFD Vision 2030 Study. Existing mesh generation methods face challenges such as high computational complexity, low mesh quality in complex geometries, and limited speed. By formulating mesh generation as a Markov decision process (MDP), the paper applies a state-of-the-art RL algorithm called soft actor-critic to automatically learn the actions for mesh generation. The implementation of this RL algorithm enables the development of a fully automated mesh generation system without human intervention or additional clean-up operations, addressing the gaps in existing mesh generation tools.
Article
Green & Sustainable Science & Technology
Yuting Yin, Kevin Thwaites, Yuhan Shao
Summary: The importance of creating a better living environment that is conducive to public health has become increasingly prominent in the post-epidemic era. This research proposes a standard for restorative street design that is determined by the balance between street functions and restorative benefits.
Article
Computer Science, Interdisciplinary Applications
Quanbing Luo
Summary: The paper introduces an automatic Delaunay mesh generation method and a physically-based mesh optimization method for two-dimensional regions, aiming to achieve high-quality meshes through controlling the local mesh coarseness and fineness.
ENGINEERING WITH COMPUTERS
(2022)
Review
Chemistry, Multidisciplinary
Min Yang, Cai Hong Zhang, Nian Wu Li, Deyan Luan, Le Yu, Xiong Wen (David) Lou
Summary: This article summarizes recent progress in the structural design of micro/nanostructured hollow materials as advanced electrocatalysts for water splitting. Design principles and strategies for highly effective hollow electrocatalysts for oxygen/hydrogen evolution reactions are highlighted, and an overview of current reports about hollow electrocatalysts with diverse architectural designs and functionalities is given. The future research directions of hollow electrocatalysts for water splitting are also discussed based on personal perspectives.
Article
Polymer Science
Madeleine Stewart, Li-Juan Yu, Michael S. Sherburn, Michelle L. Coote
Summary: Benchmarked density functional theory is used to design and evaluate a series of novel atom transfer radical polymerization (ATRP) catalysts, among which the cage structure with 2-pyridyl arms performs the best. There are significant differences in catalytic performance among different stereoisomers, and the incorporation of electron donating groups improves ligand activity. Replacing 2-pyridyl arms with other neutral heterocycles does not offer much advantage, while ligands with negatively charged donor nitrogens can greatly enhance catalyst activity.
Article
Chemistry, Physical
Shaowei Qing, Wen Chen, Zhou Hu, Xiankui Wen, Jingliang Zhong, Xiaolong Gou, Shengli Tang
Summary: This study improves the electric power generation of high-temperature TEG system by designing a novel burner and adding medium-temperature TEG modules. Experimental results show that the new burner design increases the inner-wall temperature of the high-temperature TEG module, resulting in a significant rise in electric power generation.
JOURNAL OF POWER SOURCES
(2021)
Article
Automation & Control Systems
Linfeng Yang, Ying Yang, Guo Chen, Zhaoyang Dong
Summary: This article proposes a novel moment-based DRO model with conditional value-at-risk to solve the self-scheduling problem under electricity price uncertainty. Two effective approximate models based on vector splitting and the alternate direction multiplier method are also presented. Simulations demonstrate the correctness and effectiveness of the proposed models.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Computer Science, Software Engineering
Ming-Hsun Kuo, You-En Lin, Hung-Kuo Chu, Ruen-Rone Lee, Yong-Liang Yang
COMPUTER GRAPHICS FORUM
(2015)
Article
Computer Science, Software Engineering
Yong-Liang Yang, Jun Wang, Niloy J. Mitra
COMPUTER GRAPHICS FORUM
(2015)
Article
Computer Science, Software Engineering
Chi-Han Peng, Yong-Liang Yang, Fan Bao, Daniel Fink, Dong-Ming Yan, Peter Wonka, Niloy J. Mitra
ACM TRANSACTIONS ON GRAPHICS
(2016)
Article
Computer Science, Software Engineering
Ming-Hsun Kuo, Yong-Liang Yang, Hung-Kuo Chu
COMPUTER GRAPHICS FORUM
(2016)
Article
Computer Science, Software Engineering
Haiming Zhao, Jufeng Wang, Xiaoyu Ren, Jingyuan Li, Yong-Liang Yang, Xiaogang Jin
COMPUTERS & GRAPHICS-UK
(2018)
Article
Computer Science, Software Engineering
You-En Lin, Yong-Liang Yang, Hung-Kuo Chu
ACM TRANSACTIONS ON GRAPHICS
(2018)
Article
Computer Science, Software Engineering
Sawsan AlHalawani, Yong-Liang Yang, Peter Wonka, Niloy J. Mitra
COMPUTER GRAPHICS FORUM
(2014)
Article
Computer Science, Software Engineering
Qun-Ce Xu, Bailin Deng, Yong-Liang Yang
COMPUTER GRAPHICS FORUM
(2018)
Article
Computer Science, Software Engineering
Song-Hai Zhang, Chia-Hao Chen, Fu Zheng, Yong-Liang Yang, Shi-Min Hu
Summary: Redirected Walking (RDW) algorithms aim to distort users' walking paths in the real world, allowing them to explore a larger space in Virtual Reality. However, most reset strategies based on simple heuristics may not perform well in practice. In this article, a novel optimization-based reset algorithm adaptive to different RDW algorithms is proposed, which significantly reduces the number of resets according to simulation-based experiments.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2023)
Article
Computer Science, Software Engineering
Song-Hai Zhang, Shao-Kui Zhang, Wei-Yu Xie, Cheng-Yang Luo, Yong-Liang Yang, Hongbo Fu
Summary: This study presents a framework for fast synthesizing indoor scenes by measuring the strengths of spatial relations using complete spatial randomness (CSR) tests and learning discrete priors. Experimental results show that the framework is capable of measuring more reasonable object relations and generating varied arrangements in seconds compared to existing works.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2022)
Article
Computer Science, Software Engineering
Fei Huang, Chen Liu, Kai-Wen Hsiao, Ying-Miao Kuo, Hung-Kuo Chu, Yong-Liang Yang
Summary: This article introduces a method for designing paper pop-up structures based on 2D images, using optimization algorithms to ensure foldability and stability. The framework allows for interactive exploration of the design space and has been proven effective and efficient in experiments.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Jufeng Yang, Jie Liang, Kai Wang, Yong-Liang Yang, Ming-Ming Cheng
THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE
(2018)
Proceedings Paper
Computer Science, Artificial Intelligence
Jufeng Yang, Yan Sun, Jie Liang, Yong-Liang Yang, Ming-Ming Cheng
THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE
(2018)
Proceedings Paper
Computer Science, Cybernetics
Ya-Ting Yue, Xiaolong Zhang, Yong-Liang Yang, Gang Ren, Yi-King Choi, Wenping Wang
PROCEEDINGS OF THE 2017 ACM SIGCHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'17)
(2017)
Article
Computer Science, Artificial Intelligence
Lin-Zhuo Chen, Zheng Lin, Ziqin Wang, Yong-Liang Yang, Ming-Ming Cheng
Summary: The paper proposes a new Spatial information Guided Convolution (S-Conv) method, which efficiently integrates RGB features and 3D spatial information, helping the convolutional layer adjust receptive fields and adapt to geometric transformations. The Semantic information Guided convolutional Network (SGNet) based on S-Conv achieves state-of-the-art results in real-time inference and performance.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2021)