Real-Time Collision Detection Method for Fluid and Cloth

Zhang, Hui; Liu, Zhen; Liu, Tingting; Zhou, Kun

doi:10.3724/sp.j.1089.2018.16528

Cited by 6 publications

(1 citation statement)

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“…Morell-Gimenez et al, (2013) propose an optimisation method for last production that uses multi-core GPUs to improve the tool-path computation and reduce the average machining time (Figure 11). In the textile industry distinctive works show that multicore CPU/GPU architectures and parallel computing are mainly employed for tasks like (virtual try-on) cloth simulation, clothcloth collision detection (Tang et al, 2013;Vassilev, 2016), cloth animation (Xue et al, 2017;Zang et al, 2018), authoring and simulating of cloth or garment patterns (Leaf et al, 2018); see (Figure 12). In the manufacturing sector, parallel algorithms are employed for tasks like dynamic production planning and cycle time forecasting (Nakamura et al, 2017;Tan et al, 2020;, or evaluation and ranking of alternative technologies on the basis of economic and technological criteria (Solgi et al, 2019).…”

Section: Collaborative Robots Complex Robotic Cells Interconnection and Safety Issuesmentioning

confidence: 99%

Technology enablers for the implementation of Industry 4.0 to traditional manufacturing sectors: A review

Jimeno-Morenilla

Azariadis

Molina-Carmona

et al. 2021

Computers in Industry

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The traditional manufacturing sectors (footwear, textiles and clothing, furniture and toys, among others) are based on small and medium enterprises with limited capacity on investing in modern production technologies. Although these sectors rely heavily on product customization and short manufacturing cycles, they are still not able to take full advantage of the fourth industrial revolution. Industry 4.0 surfaced to address the current challenges of shorter product life-cycles, highly customized products and stiff global competition. The new manufacturing paradigm supports the development of modular factory structures within a computerized Internet of Things environment. With Industry 4.0, rigid planning and production processes can be revolutionized. However, the computerization of manufacturing has a high degree of complexity and its implementation tends to be expensive, which goes against the reality of SMEs that power the traditional sectors. This paper reviews the main scientific-technological advances that have been developed in recent years in traditional sectors with the aim of facilitating the transition to the new industry standard.

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Section: Collaborative Robots Complex Robotic Cells Interconnection and Safety Issuesmentioning

confidence: 99%

Technology enablers for the implementation of Industry 4.0 to traditional manufacturing sectors: A review

Jimeno-Morenilla

Azariadis

Molina-Carmona

et al. 2021

Computers in Industry

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Cloth Simulation Algorithm Based on the Mass-Spring Model and the Non-planar Vortex Lattice Model

Wang

Ding

Yang

et al. 2020

Lecture Notes in Electrical Engineering

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Efficient GPU Cloud architectures for outsourcing high-performance processing to the Cloud

Sánchez-Ribes,

Maciá-Lillo,

Mora

et al. 2023

Int J Adv Manuf Technol

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The world is becoming increasingly dependant in computing intensive applications. The appearance of new paradigms, such as Internet of Things (IoT), and advances in technologies such as Computer Vision (CV) and Artificial Intelligence (AI) are creating a demand for high-performance applications. In this regard, Graphics Processing Units (GPUs) have the ability to provide better performance by allowing a high degree of data parallelism. These devices are also beneficial in specialized fields of manufacturing industry such as CAD/CAM. For all these applications, there is a recent tendency to offload these computations to the Cloud, using a computing offloading Cloud architecture. However, the use of GPUs in the Cloud presents some inefficiencies, where GPU virtualization is still not fully resolved, as our research on what main Cloud providers currently offer in terms of GPU Cloud instances shows. To address these problems, this paper first makes a review of current GPU technologies and programming techniques that increase concurrency, to then propose a Cloud computing outsourcing architecture to make more efficient use of these devices in the Cloud.

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Real-Time Collision Detection Method for Fluid and Cloth

Cited by 6 publications

References 0 publications

Technology enablers for the implementation of Industry 4.0 to traditional manufacturing sectors: A review

Technology enablers for the implementation of Industry 4.0 to traditional manufacturing sectors: A review

Cloth Simulation Algorithm Based on the Mass-Spring Model and the Non-planar Vortex Lattice Model

Efficient GPU Cloud architectures for outsourcing high-performance processing to the Cloud

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