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IEEE Conference on Global Communications (GLOBECOM)

作者： Jianguo Xue Ting Wang Puyu Cai MoE Engineering Research Center of Software/Hardware Co-design Technology and Application Shanghai Key Lab. of Trustworthy Computing East China Normal University China Department of Computer Science and Engineering Michigan State University USA

Hadoop Yarn is an open-source cluster manager responsible for resource management and job scheduling. However, data-driven applications are typically organized into workflows that consist of a series of jobs with dependencies. Yarn does not manage users' workflows and only considers the current job rather than the entire workflow when scheduling. In practice, multiple workflows share the same Yarn cluster and are pre-assigned separate Yarn resource queues to avoid mutual interference. However, this coarse-grained resource division can sometimes result in low resource utilization and increased pending time of jobs on the Yarn queue. For instance, one resource queue may have exhausted its quota while still having pending jobs, while other queues may have availab.e resources but cannot begin executing any jobs due to unfulfilled data dependencies. To address this problem, we propose a deep reinforcement learning-based workflow scheduling scheme that takes into account job dependencies, job priorities, and dynamic resource usage. The proposed approach can intelligently identify and utilize free windows of different resource queues. Our simulation results demonstrate that the proposed DRL-based workflow scheduling scheme can significantly reduce the average job latency compared to existing approaches.

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Satellite Federated Fine-Tuning for Foundation Models in Space Computing Power Networks

arXiv

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arXiv 2025年

作者： Zhu, Yan Zhu, Jingyang Wang, Ting Shi, Yuanming Jiang, Chunxiao Letaief, Khaled Ben MoE Engineering Research-Center of Software/Hardware Co-design Technology and Application The Shanghai Key Lab. of Trustworthy Computing East China Normal University Shanghai200062 China School of Information Science and Technology ShanghaiTech University Shanghai201210 China Beijing National Research Center for Information Science and Technology Tsinghua University Beijing100084 China Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Hong Kong

Advancements in artificial intelligence (AI) and low-earth orbit (LEO) satellites have promoted the application of large remote sensing foundation models for various downstream tasks. However, direct downloading of these models for fine-tuning on the ground is impeded by privacy concerns and limited bandwidth. Satellite federated learning (FL) offers a solution by enabling model fine-tuning directly on-board satellites and aggregating model updates without data downloading. Nevertheless, for large foundation models, the computational capacity of satellites is insufficient to support effective on-board fine-tuning in traditional satellite FL frameworks. To address these challenges, we propose a satellite-ground collab.rative federated fine-tuning framework. The key of the framework lies in how to reasonably decompose and allocate model components to alleviate insufficient on-board computation capabilities. During fine-tuning, satellites exchange intermediate results with ground stations or other satellites for forward propagation and back propagation, which brings communication challenges due to the special communication topology of space transmission networks, such as intermittent satellite-ground communication, short duration of satellite-ground communication windows, and unstable inter-orbit inter-satellite links (ISLs). To reduce transmission delays, we further introduce tailored communication strategies that integrate both communication and computing resources. Specifically, we propose a parallel intra-orbit communication strategy, a topology-aware satellite-ground communication strategy, and a latency-minimalization inter-orbit communication strategy to reduce space communication costs. Simulation results demonstrate significant reductions in training time with improvements of approximately 33%. Copyright © 2025, The Authors. All rights reserved.

关键词： Satellite communication systems

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Professional skills in the Product Development Process: the contribution of learning environments to professional skills in the Industry 4.0 scenario

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Procedia CIRP 2019年 84卷 203-208页

作者： Carolina Sallati Júlia de Andrade Bertazzi Klaus Schützer Lab. for Computer Integrated Design and Manufacturing Methodist University of Piracicaba Rod. Luis Ometto km 24 - Santa Bárbara d‘Oeste - Brazil

The Industry 4.0 scenario has raised many challenges for industries. The introduction of new technologies in production and products allows shorter product lifecycles, highly customization of products, and lower development and production costs. Such phenomena generate large amounts of data throughout the product lifecycle, which can be integrated and managed by Product Lifecycle Management (PLM) systems. However, to be competitive in this environment and to cope with these challenges, companies must be able not only to manage effectively their product information over the entire product lifecycle but also to count on highly skilled professionals to do so. The new trends originated from the Industry 4.0 paradigm have changed the design and development scenario, as well as the sets of skills required from professionals. Therefore, product engineers, as well as engineering students in universities, should develop new skills and meet these new market requirements. One alternative to preparing new professionals is through learning environments in cooperation with universities. These learning environments, also called learning factories to enable the transference of knowledge on processes and methods to students through the introduction of a factory concept in the academic environment, in which students can apply the acquired theoretical knowledge in real industry situations. In such a context, a Learning Factory (LF) testbed supporting the product development process in a PLM environment was developed and implemented. This paper aims to present the LF for the product development process implemented in a Brazilian university; how it contributes to the qualification of product development professionals in the Industry 4.0 scenario; its limitations and the future perspectives to meet the demand for new skills.

关键词： Professional Skills Product Development Process Learning Factory Industry 4.0

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Contribution to the development of a Digital Twin based on product lifecycle to support the manufacturing process

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Procedia CIRP 2019年 84卷 82-87页

作者： Klaus Schützer Júlia de Andrade Bertazzi Carolina Sallati Reiner Anderl Eduardo Zancul Lab. for Computer Integrated Design and Manufacturing Methodist University of Piracicaba Rod. Luis Ometto km 24 - Santa Bárbara d‘Oeste - Brazil Fachgebiet Datenverarbeitung in der Konstruktion Technische Universität Darmstadt Otto-Berndt-Straße 2 64287 Darmstadt - Germany Laboratório de Gestão da Inovação Universidade de São Paulo Av. Prof. Luciano Gualberto 380 - São Paulo - Brazil

The current manufacture challenges are closely linked to the aim of digitalizing the product, the process and the means of production. In such aspects, information about the production processes is availab.e in real-time, allowing managers to act on digital models and, through them, apply decisions in real systems. Thus, having a mirror model or a Digital Twin enables real-time absorption, simulation and implementation of manufacturing variations from the real environment, allowing faster detection of physical problems, and faster production response. The Digital Twin is a virtual representation of the physical system, which is equipped with sensors and actuators and feed the digital system, where the monitoring of data and simulation of variations, for instance, take place. From the synchronized interactions of both components, it is possible to deliver the mentioned faster production responses. Brazilian and German universities joined efforts to develop a Digital Twin based on product lifecycle to support the manufacturing Process to address these challenges. The proposed Digital Twin seeks to integrate the product twin and the twin of its development process. It shall represent the manufacturing process, enabling the monitoring and optimization of the real production process. The Digital Twin itself is addressed as a product inside the production system and, therefore, its development process will follow the product lifecycle perspective, from the conception and planning to its implementation and usage. The Digital Twin will be further improved with the introduction of Artificial Intelligence tools, characterizing a Smart Digital Twin of the manufacturing Process. Thus, this paper aims to present the concepts of a research project that is being developed in a joint Brazilian-German Cooperative Research.

关键词： Digital Twin manufacturing Process Development Process Digitalization

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Learning Environment to Support the Product Development Process

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Procedia manufacturing 2017年 9卷 347-353页

作者： Schützer, Klaus Rodrigues, Leticia Francischini Bertazzi, Julia Andrade Durão, Luiz Fernando C.S. Zancul, Eduardo Methodist University of Piracicaba – Lab. for Computer Integrated Design and Manufacturing Rod. Luis Ometto (SP 306) Km 24 Santa Bárbara d́Oeste 13451-900 Brazil University of São Paulo – Polytechnic School Av. Prof. Luciano Gualberto 380 São Paulo 05508-010 Brazil

The competitive global market creates challenges like shortened product life cycles and high level of customization with lower costs. Therefore, it is necessary to make investments to achieve competitive gains. In this scenario, qualification of human resources is a factor of success in the global competition. To fulfill this requirement, a new way of learning that integrates education in a real factory environment was developed. This concept is called Learning Factories. It brings an environment that encourages the experimental learning, simulating the key features of a real production environment in an academic setting. This teaching strategy reduces the gap between the knowledge (University) and the action (industry). This paper describes a learning factory testbed environment supporting the product development process, which was implemented at the Methodist University of Piracicaba, Brazil. This new learning environment simulates a real product development process for undergraduate and postgraduate programs. The application of Learning Factory shows in practice the tools applied in the product development process and involves design teams, product management, engineering changes request and, during the entire process, the communication and workflow features of the product data management tools used in the implementation of the environment. © 2017 The Authors

关键词： Competency Development Experimental Learning Learning Factory Product Development Process

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manufacturing technique and property evaluations of SA/gelatin/Tencel®/PP composite dressings 4

Manufacturing technique and property evaluations of SA/gelat...

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4th International Workshop on computer Science and Engineering-Winter, WCSE 2014

作者： Lou, Ching-Wen Chen, Chih-Kuang Huang, Chien-Lin Huang, Ssu-Chieh Lin, Jia-Horng Institute of Biomedical Engineering and Materials Science Central Taiwan University of Science and Technology Taichung40601 Taiwan Polymeric Biomaterials Lab. Department of Fiber and Composite Materials Feng Chia University Taichung City40724 Taiwan Department of Fiber and Composite Materials Feng Chia University Taichung City407 Taiwan Laboratory of Fiber Application and Manufacturing Department of Fiber and Composite Materials Feng Chia University Taichung City40724 Taiwan School of Chinese Medicine China Medical University Taichung40402 Taiwan Department of Fashion Design Asia University Taichung41354 Taiwan

The sodium alginate (SA)/gelatin mixture is coated onto Tencel®/PP nonwoven fabrics by lattice point coating in order to produce SA/gelatin/Tencel®/PP composite dressings with high water absorption and water retention. The air permeability, water absorption, softness, water retention, and water vapor transmission ratio of the composite dressing are evaluated. Due to the coating finish, the water absorption and air transmission ratio decrease while the softness, water transmission and water retention increase significantly. As a result, the wearers' comfort wound dressing is improved and wounds can retain moisture. This study successfully combines nonwoven fabrics and water retentive gel into composite dressings.

关键词： Sodium alginate

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Screen printing chitosan over spunlace nonwoven fabrics: Effect of screen aperture size on physical properties 4

Screen printing chitosan over spunlace nonwoven fabrics: Eff...

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4th International Workshop on computer Science and Engineering-Winter, WCSE 2014

作者： Lou, Ching-Wen Lin, Wei-Jen Chen, Chih-Kuang Huang, Chien-Lin Lin, Jia-Horng Institute of Biomedical Engineering and Materials Science Central Taiwan University of Science and Technology Taichung40601 Taiwan Polymeric Biomaterials Lab. Department of Fiber and Composite Materials Feng Chia University Taichung City40724 Taiwan Department of Fiber and Composite Materials Feng Chia University Taichung City407 Taiwan Laboratory of Fiber Application and Manufacturing Department of Fiber and Composite Materials Feng Chia University Taichung City40724 Taiwan School of Chinese Medicine China Medical University Taichung40402 Taiwan Department of Fashion Design Asia University Taichung41354 Taiwan

Chitosan is hemostatic, antibacterial, biodegradable, biocompatible, and has low toxicity. Spunlace nonwoven fabrics possess good flexibility and water absorption, compared to traditional needle-punched nonwoven fabrics. This study proposes to combine chitosan and Rayon spunlace nonwoven fabrics via the screen printing technique, and then examines the influence of screen aperture size on the physical properties. Chitosan is screen coated over the Rayon spunlace nonwoven fabrics to form chitosan/Rayon composite nonwoven fabrics, during which the screen aperture sizes are changed as 5.05, 3.2, and 2.2 mm. Tensile strength, tearing strength, air permeability, and water vapor transmission ratio of the composite nonwoven fabrics are evaluated to determine their physical properties. The test results show that compared to the Rayon spunlace nonwoven fabrics, screen printing technique weakens the tensile and tearing strength of the chitosan/Rayon composite nonwoven fabrics, and moreover, tensile and tearing strength decreases with the increasing size of screen aperture size. By contrast, the water vapor transmission ratio of the composite nonwoven fabrics is greater than that of Rayon spunlace nonwoven fabrics. In addition, the water permeability of the composite nonwoven fabrics is proportional to the size of screen apertures.

关键词： Chitosan

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Effects of lamination method on mechanical properties of Tencel®/PP nonwoven fabrics 4

Effects of lamination method on mechanical properties of Ten...

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4th International Workshop on computer Science and Engineering-Winter, WCSE 2014

作者： Lin, Jia-Horng Huang, Chien-Lin Chen, Chih-Kuang Huang, Ssu-Chieh Lou, Ching-Wen Laboratory of Fiber Application and Manufacturing Department of Fiber and Composite Materials Feng Chia University Taichung City40724 Taiwan School of Chinese Medicine China Medical University Taichung40402 Taiwan Department of Fashion Design Asia University Taichung41354 Taiwan Department of Fiber and Composite Materials Feng Chia University Taichung City407 Taiwan Polymeric Biomaterials Lab. Department of Fiber and Composite Materials Feng Chia University Taichung City40724 Taiwan Institute of Biomedical Engineering and Materials Science Central Taiwan University of Science and Technology Taichung40601 Taiwan

This study combines Tencel® fibers and polypropylene (PP) fibers with various blending ratios by a nonwoven manufacturing process, forming single-layer Tencel®/PP nonwoven fabrics, which are evaluated for tensile strength, tearing strength, air permeability, softness, water absorption, water vapor transmission ratio, and water retention;thereby determining that the optimal blending ratio of Tencel® fibers to PP fibers is 80/20 and 70/30. After laminating, the double-layer nonwoven fabrics are then tested for their properties. The test results show that the laminating process provides the double-layer nonwoven fabrics with greater water absorption and softness as well as greatly improved water retention and mechanical properties. This study successfully laminates nonwoven fabrics to gain double-layer nonwoven fabrics with good water absorption.

关键词： Polypropylenes

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Effect of sodium chloride on the formability of electrospinning polyvinyl alcohol nanofibers 4

Effect of sodium chloride on the formability of electrospinn...

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4th International Workshop on computer Science and Engineering-Winter, WCSE 2014

作者： Lin, Jia-Horng Chiang, Kun-Chien Huang, Chien-Lin Chen, Chih-Kuang Lou, Ching-Wen Laboratory of Fiber Application and Manufacturing Department of Fiber and Composite Materials Feng Chia University Taichung City40724 Taiwan School of Chinese Medicine China Medical University Taichung40402 Taiwan Department of Fashion Design Asia University Taichung41354 Taiwan Department of Fiber and Composite Materials Feng Chia University Taichung City407 Taiwan Polymeric Biomaterials Lab. Department of Fiber and Composite Materials Feng Chia University Taichung City40724 Taiwan Institute of Biomedical Engineering and Materials Science Central Taiwan University of Science and Technology Taichung40601 Taiwan

This study aims to examine the influence of the content of sodium chloride (NaCl) on the morphology of polyvinyl alcohol (PVA) nanofibers. 0.1, 0.2, and 0.3 wt% of NaCl powder is added to PVA solution, after which the mixtures are electrospun into PVA nanofibers. A conductivity test evaluates the conductivity of the PVA solution and a scanning electron microscopy (SEM) observes the morphology and diameter of the PVA nanofibers. The test results show that an increasing NaCl content results in a greater conductivity of the PVA solution. A combination of 0.1 wt% NaCl powder causes the diameter of PVA nanofibers to decrease from 205 nm to 170 nm, proving that a small amount of NaCl can effectively decrease the diameter of the PVA nanofibers.

关键词： Nanofibers

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Twisting technique and tensile property analyses of polyvinyl alcohol fibers 4

Twisting technique and tensile property analyses of polyviny...

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4th International Workshop on computer Science and Engineering-Winter, WCSE 2014

作者： Lin, Jia-Horng Wen, Shih-Peng Ueng, Kwo-Chang Chen, Chih-Kuang Lou, Ching-Wen Laboratory of Fiber Application and Manufacturing Department of Fiber and Composite Materials Feng Chia University Taichung City40724 Taiwan School of Chinese Medicine China Medical University Taichung40402 Taiwan Department of Fashion Design Asia University Taichung41354 Taiwan Division of Cardiology Department of Internal Medicine Chung Shan Medical University Taichung Taiwan Polymeric Biomaterials Lab. Department of Fiber and Composite Materials Feng Chia University Taichung City40724 Taiwan Institute of Biomedical Engineering and Materials Science Central Taiwan University of Science and Technology Taichung40601 Taiwan

Polyvinyl alcohol (PVA) has been commonly used in biomaterials, as PVA in all manners has satisfactory workability. PVA in a fiber manner has insufficient tensile strength. Therefore, the twist process is employed for its preparation, and thereby compensates for this shortcoming. In order to produce polyvinyl alcohol (PVA) plied yarns with tensile strength, this study combines and then twists the PVA fibers. Two PVA fibers are combined, during which the fibers are stably arranged. The combined PVA fibers undergo a twisting process on a twister with various twists per inch (TPI) to have strength. The tensile strength and elongation of the PVA plied yarns are then evaluated to determine their mechanical properties, followed by being analyzed according to the significant difference between the yielded data by applying a statistical analysis. The test results show that TPI can influence both mechanical properties. In addition, an excess TPI results in a decrease in both mechanical properties, as exemplified by a 6 % decrease in tensile strength, and a 5.4 % decrease in elongation respectively. In sum, the tensile strength and shear strength of the PVA plied yarn depend on the TPI.

关键词： Yarn

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