Article
Mathematics
Alessandro Niccolai, Francesco Grimaccia, Marco Mussetta, Riccardo Zich, Alessandro Gandelli
Summary: Reflectarray antennas are low-profile high-gain systems widely used in the aerospace industry. The design complexity and the need for high scanning capabilities have led to the development of an optimization environment that can be applied with evolutionary optimization algorithms.
Article
Chemistry, Multidisciplinary
Chia-Hsiang Lin, Yu-Sheng Chen, Jhao-Ting Lin, Hao Chung Wu, Hsuan-Ting Kuo, Chen-Fu Lin, Peter Chen, Pin Chieh Wu
Summary: The researchers have successfully achieved automatic inverse design of high-performance metasurfaces through a genetic-type tree search algorithm combined with unsupervised clustering, providing highly directive beam steering. The optimized metasurfaces exhibit consistent directivity at different beam steering angles, while also reducing the requirements for light scattering properties, offering potential for a wide range of advanced nanophotonic applications.
Article
Thermodynamics
Taowen Cui, Wanzhong Zhao, Kang Tai
Summary: By optimizing the electro-hydraulic active steering (EHAS) system and using a multi-objective optimization approach, energy loss was reduced and driving experience was enhanced successfully.
Article
Computer Science, Software Engineering
Jian Zhao, Mingming Fan, Mi Feng
Summary: This study proposes a system called ChartSeer that uses machine intelligence to assist analysts in monitoring the current state of exploratory visual analysis (EVA) and identifying future activities. By utilizing deep learning techniques to characterize data charts, generate visual summaries, and recommend appropriate charts, ChartSeer enables analysts to enhance their analysis and explore data variables more effectively.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2022)
Article
Biochemistry & Molecular Biology
Xueying Wang, Lingxi Chen, Wei Liu, Yuanzheng Zhang, Dawei Liu, Chenxin Zhou, Shuai Shi, Jiajie Dong, Zhengtao Lai, Bingran Zhao, Wenjingyu Zhang, Haoyue Cheng, Shuaicheng Li
Summary: Deciphering the cell-type composition in the tumor immune microenvironment is crucial for improving cancer treatment and prognosis. This study introduces TIMEDB, an online database that stores expression profiles, cell-type composition, and clinical information from thousands of samples across multiple cancer types, accompanied by automatic analysis and interactive visualization tools.
NUCLEIC ACIDS RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Han Xu, Youqun Zhao, Fen Lin, Wei Pi, Shilin Feng
Summary: This paper presents an integrated parameter optimization design of the electric power steering system and suspension systems. By introducing an improved two-level multidisciplinary optimization method and adopting particle swarm optimization algorithm, the optimization problem is decoupled and the entire optimization work is efficiently carried out. The research results show that the proposed optimization strategy can improve the performance of the vehicle equipped with mechanical elastic wheels (MEW).
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2022)
Article
Construction & Building Technology
Vincent J. L. Gan, Ting Liu, Kexin Li
Summary: Modular building is being widely used and this study proposes an integrated approach based on building information modeling and virtual reality to improve the design efficiency of modular buildings through visualization.
Article
Construction & Building Technology
Yunzhu Ji, Wei Wang, Yingdong He, Lu Li, Hui Zhang, Tong Zhang
Summary: This study proposes an innovative framework for performance-based design optimization, which combines generative design with performance optimization techniques to enhance various environmental aspects of buildings. The framework can generate optimized design solutions efficiently, achieving significant improvements in thermal comfort and daylighting compared to user-defined designs.
ENERGY AND BUILDINGS
(2023)
Article
Nanoscience & Nanotechnology
Lorenzo Beretta, Silvia Bonfanti, Jacopo Fiocchi, Francesc Font-Clos, Roberto Guerra, Ausonio Tuissi, Stefano Zapperi
Summary: Automatic design of mechanical metamaterials can achieve higher efficiency than human-designed solutions, leading to a multitude of possible functional solutions.
Article
Computer Science, Artificial Intelligence
Farouq Halawa, Sreenath Chalil Madathil, Mohammad T. Khasawneh
Summary: This paper introduces a three-phase framework for designing healthcare layouts using hospital tracking data, with the use of process mining and simulation modeling to extract important patient pathways and improve prediction accuracy.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Agronomy
Shuangyan Hu, Minjuan Hu, Wei Yan, Wenyi Zhang
Summary: A new automatic transplanting mechanism based on a clamping stem was designed to improve the operation frequency of the semi-automatic pepper pot seedling transplanter. The mechanism parameter optimization program was developed to meet the requirements of backward transplanting. Through theoretical analysis and prototype tests, the effectiveness of the integrated automatic transplanting mechanism for pepper pot seedlings was verified.
Article
Computer Science, Software Engineering
Leilani Battle, Carlos Scheidegger
Summary: In the past 30 years, a systematic review was conducted on adjacent fields, highlighting techniques and principles that are underappreciated in visualization work. By categorizing 131 research papers, it was found that five notions in data management venues suit interactive visualization systems well.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Thermodynamics
Mersad Shoaei, Ahmad Hajinezhad, Seyed Farhan Moosavian
Summary: This paper presents a hybrid novel energy system consisting of gas cycle, steam cycle, two organic Rankine cycles (ORCs), and a renewable cycle based on geothermal and solar energy sources. A comprehensive study on energy, efficiency, economy, and the environment has been conducted, and different fluids for the ORC subsystems have been investigated. The optimization results indicate an improvement in exergy efficiency of 0.25% and a reduction of $500 in annual capital costs at the optimal point.
Article
Engineering, Civil
Majid Vali, Mohammad Zare, Saman Razavi
Summary: This study introduces a novel 'local surrogate modelling' framework guided by automatic clustering for solving computationally intensive groundwater remediation optimization problems. Results show that the proposed automatic clustering-based local surrogate modeling is effective and reliable while reducing at least 60 percent of the computational burden.
JOURNAL OF HYDROLOGY
(2021)
Article
Construction & Building Technology
Fahad K. Alqahtani, Mohamed Sherif, Ibrahim S. Abotaleb, Ossama Hosny, Khaled Nassar, Ahmed Gouda Mohamed
Summary: The increasing global concern for the environment and advancements in computational tools and techniques are transforming the way building structures are designed and constructed. This paper presents a decision support framework for the optimal structural design of green concrete buildings using recycled plastic aggregates and lightweight concrete. The approach evaluates four concrete aggregate materials with varying characteristics and demonstrates cost savings of up to 5% per floor compared to conventional concrete mix.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Mohamed A. Gad, Mai H. Elshehaly, Denis Gracanin, Hicham G. Elmongui
COMPUTERS & GEOSCIENCES
(2018)
Article
Computer Science, Software Engineering
Rainer Splechtna, Michael Beham, Denis Gracanin, Maria Lujan Ganuza, Katja Buehler, Igor Sunday Pandzic, Kresimir Matkovic
Article
Computer Science, Software Engineering
Guido Reina, Hank Childs, Kresimir Matkovic, Katja Buehler, Manuela Waldner, David Pugmire, Barbora Kozlikova, Timo Ropinski, Patric Ljung, Takayuki Itoh, Eduard Groeller, Michael Krone
COMPUTERS & GRAPHICS-UK
(2020)
Article
Computer Science, Information Systems
Jussi Hakanen, Sanjin Rados, Giovanni Misitano, Bhupinder S. Saini, Kaisa Miettinen, Kresimir Matkovic
Summary: In today's data-driven world, integrating interactive multiobjective optimization with interactive visualization can provide decision makers with a powerful tool for understanding problems and making decisions. This paper introduces a new interactivized approach that combines state-of-the-art interactive visualization with interactive multiobjective optimization, significantly improving the analysis workflow for decision makers.
Article
Computer Science, Software Engineering
Manuela Waldner, Alexandra Diehl, Denis Gracanin, Rainer Splechtna, Claudio Delrieux, Kresimir Matkovic
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2020)
Proceedings Paper
Computer Science, Theory & Methods
Archi Dasgupta, Mohamed Handosa, Mark Manuel, Denis Gracanin
DISTRIBUTED, AMBIENT AND PERVASIVE INTERACTIONS
(2019)
Proceedings Paper
Computer Science, Software Engineering
Kresimir Matkovic, Denis Gracanin, Michael Beham, Rainer Splechtna, Miriah Meyer, Elena Ginina
ADVANCES IN COMPUTER GRAPHICS, CGI 2019
(2019)
Proceedings Paper
Engineering, Electrical & Electronic
Michael Beham, Rainer Splechtna, Denis Gracanin, Elena Ginina, Kresimir Matkovic
2018 IEEE CONFERENCE ON VISUAL ANALYTICS SCIENCE AND TECHNOLOGY (VAST)
(2018)
Proceedings Paper
Engineering, Electrical & Electronic
Elena Ginina, Michael Beham, Denis Gracanin, Rainer Splechtna, Kresimir Matlovic
2018 IEEE CONFERENCE ON VISUAL ANALYTICS SCIENCE AND TECHNOLOGY (VAST)
(2018)
Proceedings Paper
Computer Science, Theory & Methods
Kresimir Matkovic, Denis Gracanin, Helwig Hauser
2018 WINTER SIMULATION CONFERENCE (WSC)
(2018)
Proceedings Paper
Computer Science, Artificial Intelligence
Denis Gracanin, Andrew Ciambrone, Reza Tasooji, Mohamed Handosa
VIRTUAL, AUGMENTED AND MIXED REALITY
(2017)
Proceedings Paper
Computer Science, Theory & Methods
Mohamed Handosa, Denis Gracanin, Hicham Elmongui
2017 WINTER SIMULATION CONFERENCE (WSC)
(2017)
Proceedings Paper
Computer Science, Theory & Methods
Kresimir Matkovic, Denis Gracanin, Mario Duras, Reza Tasooji, Mohamed Handosa
2017 WINTER SIMULATION CONFERENCE (WSC)
(2017)