Article
Computer Science, Software Engineering
Glen Berseth, Brandon Haworth, Muhammad Usman, Davide Schaumann, Mahyar Khayatkhoei, Mubbasir Kapadia, Petros Faloutsos
Summary: IDOME is an interactive system for computer-aided design optimization, striking a balance between automation and control to assist architects in exploring and optimizing space layouts efficiently. The system provides alternative building layouts that meet user-defined constraints and optimization criteria, allowing users to iterate the design exploration process.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Computer Science, Software Engineering
Weidan Xiong, Chong Mo Cheung, Pedro Sander, Ajay Joneja
Summary: This paper introduces the problem of clustering vertices in a given 3D mesh to reduce fabrication cost in architectural projects. By establishing an equivalence between mesh vertices and physical joints, the unique number of joints in the facade mesh is significantly decreased, leading to cost reduction.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2022)
Article
Computer Science, Hardware & Architecture
Mahta Mayahinia, Mehdi Tahoori, Manu Perumkunnil Komalan, Houman Zahedmanesh, Kristof Croes, Tommaso Marinelli, Jose Ignacio Gomez Perez, Timon Evenblij, Gouri Sankar Kar, Francky Catthoor
Summary: This paper presents an effective method to model the workload-dependent electromigration-induced meantime to failure in STT-MRAM arrays, enabling the co-optimization of reliability and other design metrics.
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
(2022)
Article
Computer Science, Information Systems
Michele Ciavotta, Giovanni Paolo Gibilisco, Danilo Ardagna, Elisabetta Di Nitto, Marco Lattuada, Marcos Aurelio Almeida da Silva
Summary: This article presents an approach and a tool for supporting the design-time analysis of Cloud applications, optimizing costs and meeting performance requirements. Through an industrial case study, the benefits of this approach are demonstrated, showing its feasibility and efficiency in solving large-scale problem instances.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2022)
Article
Construction & Building Technology
Antiopi Koronaki, Paul Shepherd, Mark Evernden
Summary: This paper proposes a novel framework to assess the construction complexity of space-frame structures based on the variability and fabrication of their joints, promoting informed design of the fabrication process. The k-means algorithm is used to cluster the joints into fabrication batches, providing an overview of the variability distribution. Overlaying the clustering results with the properties of different fabrication processes accurately estimates the construction complexity of alternative fabrication options. The method is applied to a large-scale case study, demonstrating its benefits in practice.
Article
Construction & Building Technology
Morteza Rahbar, Mohammadjavad Mahdavinejad, Amir H. D. Markazi, Mohammadreza Bemanian
Summary: This paper presents a hybrid approach that combines agent-based modeling with deep learning algorithms to generate automated 2D architectural layouts. The method involves generating bubble diagrams that satisfy topological conditions through agent-based modeling, and then translating them into architectural layouts using deep learning algorithms. This approach allows designers to maintain high-level control over the generation process and ensures that the results meet desired constraints.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Computer Science, Software Engineering
Zahra Montazeri, Chang Xiao, Yun Fei, Changxi Zheng, Shuang Zhao
Summary: Micro-appearance models have improved the fidelity and details of cloth rendering, yet they overlook the impact of fabric mechanics on appearance. The introduced mechanics-aware model adapts the microstructures of cloth yarns in a physics-based manner to capture mechanics-driven appearance variation of fabrics. Through physics-based simulations on yarn and fiber levels, combined with parameter fitting algorithms and neural networks, the model is capable of synthesizing photorealistic cloth appearance in a mechanically plausible way.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Computer Science, Software Engineering
Caigui Jiang, Hui Wang, Victor Ceballos Inza, Felix Dellinger, Florian Rist, Johannes Wallner, Helmut Pottmann
Summary: This study successfully represents free forms through precise isometric bending of surfaces made from a small number of molds, solving the paneling task with surfaces of constant Gaussian curvature. The research also explores interesting connections between the paneling problem and the geometry of Killing vector fields, designing and actuating isometries, curved folding in the case of double-curved surfaces, and quad meshes with rigid faces that remain flexible.
ACM TRANSACTIONS ON GRAPHICS
(2021)
Article
Computer Science, Information Systems
Soongeol Kwon
Summary: Data centers, as energy-intensive industries, have been making efforts to improve energy efficiency and contribute to environmental sustainability by utilizing renewable energy. They are also potential applications of demand response, as they can adjust energy consumption based on time-of-use prices and intermittent renewable generation. To achieve energy-efficient and sustainable data center operations, quality of service (QoS) should be guaranteed at the desired level to meet users' requests.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2022)
Article
Computer Science, Software Engineering
Stefan Pillwein, Johanna Kubert, Florian Rista, Przemyslaw Musialski
Summary: Elastic geodesic grids (EGG) are lightweight structures that approximate designer provided free-form surfaces. Decomposing surfaces into smaller patches is an effective strategy to tackle limitations with more sophisticated design surfaces. This structure is suitable for various purposes like free-form sub-structures, panels, sun and rain protectors, etc.
COMPUTERS & GRAPHICS-UK
(2021)
Article
Engineering, Mechanical
Nguyen K. Pham, Edwin A. Peraza Hernandez
Summary: This paper introduces a novel twisting wing design using a tensegrity mechanism, which shows higher aerodynamic efficiency compared to conventional wings. Through finite element modeling and experimental studies, the influence of topological parameters of the torsional tensegrity mechanism on the wing's performance is analyzed.
JOURNAL OF MECHANISMS AND ROBOTICS-TRANSACTIONS OF THE ASME
(2021)
Review
Construction & Building Technology
Ramon Elias Weber, Caitlin Mueller, Christoph Reinhart
Summary: This article investigates the value proposition of automatic floorplan layout generation methods and explores their opportunities for design guidance, feedback, and optimization in the creation of new buildings, as well as their applications for inventory characterization and guiding building policy and code. The methods are divided into three categories, and a hybrid method for future building layout automation is proposed.
AUTOMATION IN CONSTRUCTION
(2022)
Article
Multidisciplinary Sciences
Hongyu Li, Qilong Wu, Bowen Xing, Wenjie Wang
Summary: “By deeply integrating the auxiliary model of AI and architectural spatial intelligence, flexible design is carried out according to the actual situation to carry out a comprehensive design description of the specific architectural model of AI. AI assists in the generation of architectural intention and form, mainly supporting academic and working theoretical models, promoting technological innovation, and improving the design efficiency of the architectural design industry. AI-aided architectural design enables design freedom for every designer and completes the corresponding work faster and more efficiently with the help of AI technology.”
Article
Computer Science, Hardware & Architecture
Pedro Taua Lopes Pereira, Guilherme Paim, Patricia Ucker Leleu da Costa, Eduardo Antonio Cesar da Costa, Sergio Jose Melo de Almeida, Sergio Bampi
Summary: Efficient Kalman filter designs for real-time mobile applications are crucial, with semiparallel and sequential KF architectures offering the best balance of circuit area size, power dissipation, and processing speed. The developed KF architecture is more efficient than state-of-the-art solutions, demonstrating high performance in system identification, noise elimination, and state estimation applications.
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS
(2021)
Article
Mathematics
Dongmiao Zhao, Yufeng Liu, Boyi Pei, Xingtian Wang, Sheng Miao, Weijun Gao
Summary: This study explores the relationship between architecture and nature using data mining techniques, collecting a large number of architectural descriptions and analyzing the frequency of words related to nature. The study finds that different building types in different areas have similarities in design elements, suggesting that the same evaluation factors can be adopted for building evaluations in different regions.
Article
Computer Science, Software Engineering
Wangyu Zhang, Bailin Deng, Juyong Zhang, Sofien Bouaziz, Ligang Liu
COMPUTER GRAPHICS FORUM
(2015)
Article
Computer Science, Software Engineering
Mina Konakovic, Keenan Crane, Bailin Deng, Sofien Bouaziz, Daniel Piker, Mark Pauly
ACM TRANSACTIONS ON GRAPHICS
(2016)
Article
Computer Science, Software Engineering
Peng Song, Bailin Deng, Ziqi Wang, Zhichao Dong, Wei Li, Chi-Wing Fu, Ligang Liu
ACM TRANSACTIONS ON GRAPHICS
(2016)
Article
Computer Science, Artificial Intelligence
Luo Jiang, Juyong Zhang, Bailin Deng, Hao Li, Ligang Liu
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2018)
Article
Computer Science, Software Engineering
Juyong Zhang, Bailin Deng, Yang Hong, Yue Peng, Wenjie Qin, Ligang Liu
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2019)
Article
Oceanography
Peng Yajun, Liu Dongyan, Wang Yujue, Pierre Richard, John K. Keesing
ACTA OCEANOLOGICA SINICA
(2018)
Article
Computer Science, Artificial Intelligence
Luo Jiang, Juyong Zhang, Bailin Deng
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2020)
Article
Computer Science, Artificial Intelligence
Jiong Tao, Juyong Zhang, Bailin Deng, Zheng Fang, Yue Peng, Ying He
Summary: The paper proposes a parallel and scalable approach for computing geodesic distances on triangle meshes, utilizing optimization of gradients and efficient first-order methods. The approach is capable of efficiently recovering geodesic distances on large models, surpassing other state-of-the-art solvers in terms of performance.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2021)
Article
Computer Science, Software Engineering
Bailin Deng, Yuxin Yao, Roberto M. Dyke, Juyong Zhang
Summary: This article presents a comprehensive review of non-rigid registration methods for 3D shapes, particularly focusing on techniques related to dynamic shape acquisition and reconstruction. It covers various approaches for representing the deformation field and computing the desired deformation, including optimization-based and learning-based methods. The article also reviews benchmarks and datasets for evaluating non-rigid registration methods and discusses potential future research directions.
COMPUTER GRAPHICS FORUM
(2022)
Article
Computer Science, Software Engineering
Qianwei Xia, Juyong Zhang, Zheng Fang, Jin Li, Mingyue Zhang, Bailin Deng, Ying He
Summary: In this article, a novel method for fast geodesic distance queries is developed by embedding the mesh into a high-dimensional space. The method overcomes the challenges of the high-dimensional embedding problem by only embedding the saddle vertices as variables and using a cascaded optimization approach to reduce the approximation error resulting from the purely Euclidean embedding. Computational testing results show that the method is more desirable than previous geodesic distance queries methods.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2022)
Article
Mathematics, Applied
Wenqing Ouyang, Jiong Tao, Andre Milzarek, Bailin Deng
Summary: Anderson acceleration (AA) is a popular method for accelerating fixed-point iterations, but it may suffer from instability and stagnation. We propose a globalization method for AA that improves stability and achieves unified global and local convergence. Unlike existing AA globalization approaches that rely on safeguarding operations and might hinder fast local convergence, our method adopts a nonmonotone trust-region framework and introduces an adaptive quadratic regularization together with a tailored acceptance mechanism. We prove global convergence and show that our algorithm attains the same local convergence as AA under appropriate assumptions. The effectiveness of our method is demonstrated in several numerical experiments.
JOURNAL OF SCIENTIFIC COMPUTING
(2023)
Article
Computer Science, Artificial Intelligence
Yuxin Yao, Bailin Deng, Weiwei Xu, Juyong Zhang
Summary: This paper proposes a robust non-rigid registration method based on a globally smooth robust norm, which effectively handles outliers and partial overlaps. The majorization-minimization algorithm and Anderson acceleration are utilized to improve the convergence speed of the solver. Experimental results demonstrate that our method outperforms state-of-the-art methods in terms of registration accuracy and computational speed.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2023)
Article
Computer Science, Software Engineering
Zhi Deng, Yang Liu, Hao Pan, Wassim Jabi, Juyong Zhang, Bailin Deng
Summary: This work presents a novel sketch-based system to bridge the concept design and digital modeling of freeform roof-like shapes represented as planar quadrilateral (PQ) meshes. The system allows the user to sketch the surface boundary and contour lines under axonometric projection and supports the sketching of occluded regions. A deep neural network is proposed to infer the underlying surface shape and dense conjugate direction field, both of which are used to extract the final PQ mesh. The system's effectiveness and usability are demonstrated through quantitative and qualitative evaluation, as well as user studies.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2023)
Article
Architecture
Tsung-Hsien Wang, Olivia Espinosa Trujillo, Wen-Shao Chang, Bailin Deng
INTERNATIONAL JOURNAL OF ARCHITECTURAL COMPUTING
(2017)
Review
Computer Science, Software Engineering
Xiaoqun Dai, Yan Hong
Summary: The primary objective of this research is to enhance the understanding of fabric mechanical behaviors, measurement techniques, and parameters essential for cloth simulation. The findings and information presented herein can be effectively utilized to enhance the precision and fidelity of apparel CAD systems, thereby facilitating advancements in virtual garment design and production.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Zhen-Pei Wang, Brian N. Cox, Shemuel Joash Kuehsamy, Mark Hyunpong Jhon, Olivier Sudre, N. Sridhar, Gareth J. Conduit
Summary: Three-dimensional non-periodic woven composite preforms have great design flexibility, but the design space is too large. This paper proposes a Background Vector Method (BVM) for generating candidate designs that can adapt to local architecture and global design goals while ensuring fabricability. Examples are provided to illustrate the design scope and speed of the BVM, as well as pathways for incorporating it into optimization algorithms.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Mohammad Mahdi Behzadi, Jiangce Chen, Horea T. Ilies
Summary: This paper proposes an approach to enhance the topological accuracy of machine learning-based topology optimization methods. The approach utilizes a predicted dual connectivity graph to improve the connectivity of the predicted designs. Experimental results show that the proposed method significantly improves the connectivity of the final predicted structures.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Jiaze Li, Shengfa Wang, Eric Paquette
Summary: In this study, a texture-driven adaptive mesh refinement method is proposed to generate high-quality 3D reliefs. By conducting feature-preserving adaptive sampling of the texture contours and using constraint-driven and feature-adaptive mesh subdivision, the method is able to accurately follow the texture contours and maintain good polygon quality.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Xi Zou, Sui Bun Lo, Ruben Sevilla, Oubay Hassan, Kenneth Morgan
Summary: This work presents a new method for generating triangular surface meshes in three dimensions for the NURBS-enhanced finite element method. The method allows for triangular elements that span across multiple NURBS surfaces, while maintaining the exact representation of the CAD geometry. This eliminates the need for de-featuring complex watertight CAD models and ensures compliance with user-specified spacing function requirements.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Ulderico Fugacci, Chiara Romanengo, Bianca Falcidieno, Silvia Biasotti
Summary: This paper proposes a method for suitably resampling a 3D point cloud while preserving the feature curves to which some points belong. The method enriches the cloud by approximating curvilinear profiles and allows for point removal or insertion without affecting the approximated profiles. The effectiveness of the method is evaluated through experiments and comparisons.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
J. Hinz, O. Chanon, A. Arrigoni, A. Buffa
Summary: The objective of this study is to address the difficulty of simplifying a geometric model while maintaining the accuracy of the solution. A goal-oriented adaptive strategy is proposed to reintroduce geometric features in regions with significant impact on the quantity of interest. This approach enables faster and more efficient simulations.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Hao Qiu, Yixiong Feng, Yicong Gao, Zhaoxi Hong, Jianrong Tan
Summary: Sandwich panels with excellent mechanical properties are widely used, and kirigami-inspired structural designs are receiving increasing attention. In this study, novel graded self-locking kirigami panels based on a tucked-interleaved pattern are developed and analyzed. The experimental and simulation results demonstrate that the proposed kirigami panels have outstanding load-to-weight ratios and can generate graded stiffness and superior specific energy absorption.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Zheng Zhan, Wenping Wang, Falai Chen
Summary: This article proposes a learning based method using a deep neural network to simultaneously parameterize the boundary and interior of a computational domain. The method achieves robust parameterization by optimizing a loss function and fitting a tensor-product B-spline function. Experimental results demonstrate that the proposed approach yields parameterization results with lower distortion and higher bijectivity ratio.
COMPUTER-AIDED DESIGN
(2024)