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43rd Chinese Control Conference, CCC 2024

作者： Wang, Jingdi Cao, Yundong Jin, Huaikang Fan, Shouyuan Wang, Bin Jin, Huaiping Kunming University of Science and Technology Faculty of Information Engineering and Automation Kunming650500 China Kunming University of Science and Technology Yunnan Key Laboratory of Artificial Intelligence Kunming650500 China Huaneng Renewables Co. Ltd. Yunnan Branch Kunming650000 China Yunnan Electric Power Design Institute Kunming650051 China Energy Engineering Group China

ISBN: (纸本)9789887581581

With the continuous advancement of new energy technologies, wind power is becoming an increasingly crucial source of clean energy. Due to the stochastic and fluctuating nature of wind power data, there is a significant challenge known as concept drift, where the data distribution changes over time. This poses a substantial obstacle to accurate prediction, leading to performance degradation of predictors. To address this issue, an adaptive deep-learning wind power prediction method combining transfer learning and concept drift detection is proposed. This method incorporates the concept of online transfer learning, transferring offline-trained model parameters to adapt quickly to new data distributions during the online phase. Simultaneously, a combination of an online moving window and Kullback-Leibler (KL) divergence is employed to capture and analyze changes in the online predictor's output layer network parameters. This facilitates a more precise detection of concept drift in wind power prediction, determining whether model updates are necessary. By dynamically updating model parameters and effectively handling concept drift, the approach can maintain high accuracy and stability in wind power prediction. The effectiveness and superiority of the proposed method are validated through the analysis of real-world wind power field data. © 2024 Technical Committee on Control Theory, Chinese Association of automation.

关键词： Wind forecasting

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Conceptual Thoughts on Biointelligent Embedded Systems and Operating Systems Architecture 4

Conceptual Thoughts on Biointelligent Embedded Systems and O...

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4th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2022

作者： Shoshi, Arber Miehe, Robert Bauernhansl, Thomas Universität Stuttgart Nobelstr. 12 Stuttgart70569 Germany Fraunhofer-Institute for Manufacturing-Engineering and Automation Ipa Nobelstr. 12 Stuttgart70569 Germany Faculty of Engineering Design Production and Automotive Engineering University of Stuttgart Allmandring 35 Stuttgart70569 Germany

Biointelligent systems are among the most important enablers for a sustainable transformation of industry. The convergence of bioware, hardware and software generates completely new system architectures that allow products to be manufactured and utilized more decentralized, autonomous, and demand-driven. With the increasing amount of (heterogeneous) production data required for this and the need for real-time capability, the importance of edge computing is growing. To fulfill the demand for edge computing, the requirement for intelligent high-end embedded systems, together with an operating system, for future production has grown. After a series of recent publications describing the basic principles of the necessary information technology networking of biological and technical systems, we introduce the concept of a biointelligent, embedded system, discuss its need for an operating system and place it in a larger system context. By comparing the use of embedded operating systems in digital product systems, necessities of an operating system in biointelligent systems are derived, e.g. managing resources, guaranteeing real-time processing, mastering complexity, ensuring usability and increasing security. Upon the evaluation of the fulfillment of existing embedded operating systems to these necessities, we derive white spots for future research. © 2022 The Authors. Published by ELSEVIER B.V.

关键词： Embedded systems

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Improved Depth-Aware Circuit Partitioning for Mixed Logic Synthesis

Improved Depth-Aware Circuit Partitioning for Mixed Logic Sy...

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Electronics design automation (ISEDA), International Symposium of

作者： Chunliu Liao Yong Xiao Yun Shao Zhufei Chu Faculty of Electrical Engineering & Computer Science Ningbo University Ningbo China Giga Design Automation Co. Ltd. Shenzhen China

Mixed logic synthesis takes advantage of distinct logic representations through circuit partitioning, classification and optimization, and merging. How circuits are partitioned plays a significant role in the quality of results (QoR) of mixed logic synthesis. Currently, existing methods employ either a naive or a structurally aware approach. However, the critical path may be destructed by circuit merging due to the critical path segment being disconnected by partitions. To address this issue, we propose an improved depth aware circuit partitioning method for mixed logic synthesis. To be specific, we treat the critical path as an entity and set the partition size dynamically according to the logic depth of the input circuit. Based on the EPFL benchmark suites, XOR-Majority Graph (XMG) achieves a 19% reduction in logic depth with a 6% logic node increase over standard mixed-synthesis.

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An Integrated Logic Function Decomposition Flow for XOR-Majority Graphs

An Integrated Logic Function Decomposition Flow for XOR-Majo...

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Electronics design automation (ISEDA), International Symposium of

作者： Chengyu Ma Yong Xiao Yun Shao Zhufei Chu Faculty of Electrical Engineering & Computer Science Ningbo University Ningbo China Giga Design Automation Co. Ltd. Shenzhen China

Logic function decomposition is critical to logic synthesis. In this paper, we propose an integrated logic function decomposition flow, which consists of disjoint support decomposition, exact synthesis, Shannon decomposition, and the recently proposed majority-of-three (MAJ) decomposition. Through this process, the logic function can be decomposed into any directed acyclic graph (DAG). An experimental evaluation shows that our algorithm leads to better XOR-majority graphs (XMGs) compared to state-of-the-art algorithms. Our experiments show that the proposed method achieves an average of 5% and 6% reduction in the lookup tables (LUTs) size/depth product applied to the EPFL arithmetic and random control benchmarks after LUT mapping, respectively.

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Innovation Approaches in CAD Systems Training Program 5

Innovation Approaches in CAD Systems Training Program

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5th International Conference in Electronic engineering, Information Technology and Education, EEITE 2024

作者： Shanaida, Volodymyr Lazaryuk, Valeriy Blavitskyi, Andrii Zylinska, Justyna Tkaczyk, Stanislw Hutsaylyuk, Volodymyr Ternopil Ivan Puluj National Technical University Ternopil Design of Machine Tools Instruments and Machines Department Ternopil Ukraine Ternopil Ivan Puluj National Technical University Department of Mechanical Engineering Technology Ternopil Ukraine Ternopil Ivan Puluj National Technical University Ternopil Department Automation and Computer integrated Technologies Ternopil Ukraine Helena Chodkowska University of Technology and Economics Faculty of Management and Logistics Warsaw Poland Helena Chodkowska University of Technology and Economics Warsaw Faculty of Engineering Warsaw Poland

ISBN: (纸本)9798350372878

The advancements in information technology and computer-aided design have paved the way for virtual modeling and exploration of real-life objects. In the realm of CAD systems, there are subgroups of specialized software (CADCAM- CAE systems) that are designed to accomplish specific object-oriented tasks. Such software is primarily used for mathematical computations, analytic studies of schematic technical objects, and 2D and 3D systems for engineering design practices. © 2024 IEEE.

关键词： Digital elevation model

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Exploring Embodied Emotional Communication: A Human-oriented Review of Mediated Social Touch

arXiv

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arXiv 2025年

作者： He, Liwen Guo, Zichun Mo, Yanru Wen, Yve Wang, Yun School of Mechanical Engineering and Automation Beihang University Beijing100191 China College of Arts and Design Beijing University of Chemical Technology Beijing100029 China Faculty of Industrial Design Engineering Delft University of Technology Delft10587 Netherlands School of electronic information and electrical engineering Shanghai Jiao Tong University Shanghai200240 China

This paper offers a structured understanding of mediated social touch (MST) using a human-oriented approach, through an extensive review of literature spanning tactile interfaces, emotional information, mapping mechanisms, and the dynamics of human-human and human-robot interactions. By investigating the existing and exploratory mapping strategies of the 37 selected MST cases, we established the emotional expression space of MSTs that accommodated a diverse spectrum of emotions by integrating the categorical and Valence-Arousal model, showcasing how emotional cues can be translated into tactile signals. Based on the expressive capacity of MSTs, a practical design space was structured encompassing factors such as the body locations, device form, tactile modalities and parameters. We also proposed various design strategies for MSTs including workflow, evaluation methods, and ethical and cultural considerations, as well as several future research directions. MSTs’ potential is reflected not only in conveying emotional information but also in fostering empathy, comfort, and connection in both human-human and human-robot interactions. This paper aims to serve as a comprehensive reference for design researchers and practitioners, which helps expand the scope of emotional communication of MSTs, facilitating the exploration of diverse applications of affective haptics, and enhancing the naturalness and sociability of haptic *** Codes 68T40 (Primary), 92B20 (Secondary), 68U05 (Secondary) Copyright © 2025, The Authors. All rights reserved.

关键词： Mapping

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Towards a Tangible Blocky Coding design for Visually Impaired Children 5

Towards a Tangible Blocky Coding Design for Visually Impaire...

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5th International Conference on Inclusive Technologies and Education, CONTIE 2022

作者： Castaneda, Jennifer Alejandra Cardenas Hung, Patrick C. K. Iqbal, Farkhund Ahmad, Rafiq University of Alberta Laboratory of Intelligent Manufacturing Design and Automation Mechanical Engineering Department Edmonton Canada Ontario Tech University Faculty of Business and It Oshawa Canada Zayed University College of Technological Innovation Abu Dhabi United Arab Emirates

ISBN: (纸本)9781665455350

This paper investigates the role of coding in children's education and the barriers to inclusion for Visually Impaired (VI) children in this environment. In the learning process, these children face numerous challenges, including the fact that most playful coding-related learning options rely on visualization. This paper incorporates insights from a literature review to design a solution involving a model called DODO through computer vision and tangible paper blocky modules for VI children to learn to code. The main result is the proof of concept prototype demonstrates that the proposed design can recognize the various paper modules used to represent different codes, targeting the tactile sense. The design advocates for VI children to have access to economic Science, Technology, engineering, and Mathematics (STEM) learning. © 2022 IEEE.

关键词： Computer vision

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Online Two-stage Thermal History Prediction Method for Metal Additive Manufacturing of Thin Walls

arXiv

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arXiv 2023年

作者： Tang, Yifan Rahmani Dehaghani, M. Sajadi, Pouyan Balani, Shahriar Bakrani Dhalpe, Akshay Panicker, Suraj Wu, Di Coatanea, Eric Gary Wang, G. Product Design and Optimization Laboratory Simon Fraser University SurreyBC Canada Faculty of Engineering and Natural Sciences Automation Technology and Mechanical Engineering Tampere University Tampere33720 Finland

Various data-driven modeling methods have been developed to predict the thermal history in metal additive manufacturing (AM) using simulation data. Their generalization capability is often unacceptable for online applications (e.g., in-situ control) of metal AM since the training data are only from simulation, which is usually based on simplified assumptions of the complex physics of the actual metal printing. This paper aims to propose an online two-stage thermal history prediction method, which could be integrated into a metal AM process for performance control. Based on the similarity of temperature curves (curve segments of a temperature profile of one point) between any two successive layers, the first stage of the proposed method designs a layer-to-layer prediction model (artificial neural network) to estimate the temperature curves of the yet-to-print layer from measured temperatures of certain points on the previously printed layer. With measured/predicted temperature profiles of several points on the same layer, the second stage proposes a reduced order model (ROM) (intra-layer prediction model) to decompose and construct the temperature profiles of all points on the same layer, which could be used to build the temperature field of the entire layer. The training of ROM is performed with an extreme learning machine (ELM) for computational efficiency. Fifteen wire arc AM experiments and nine simulations are designed for thin walls with a fixed length and unidirectional printing of each layer. The test results indicate that the proposed prediction method could construct the thermal history of a yet-to-print layer within 0.1 seconds on a low-cost desktop computer (Intel Core i7-3770 CPU @ 3.40GHz processor, 24.0 GB RAM). Meanwhile, the method has acceptable generalization capability in most cases from lower layers to higher layers in the same simulation, as well as from one simulation to a new simulation on different AM process parameters. More importantly, aft

关键词： Forecasting

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Identifying intelligent data utilization in bioprocesses: overview of current research activities, opportunities and barriers.

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Procedia CIRP 2024年 126卷 869-874页

作者： Arber Shoshi Betül Gündüz Robert Miehe Graduate School of Excellence advanced Manufacturing Engineering (GSaME) University of Stuttgart Nobelstr. 12 70569 Stuttgart Germany Fraunhofer Institute for Manufacturing Engineering and Automation IPA Nobelstr. 12 70569 Stuttgart Germany Institute of Industrial Manufacturing and Management (IFF) Faculty of Engineering Design Produc-tion and Automotive Engineering University of Stuttgart Allmandring 35 70569 Stuttgart Germany

Biological transformation, amplified by digital transformation, has seen a surge in interest in recent years. Efforts to develop sustainable technologies for a sustainable economy are reinforcing the increasing convergence between technology and biology. This will inevitably lead to disruptive technologies that will drive established technologies out of the market. For this reason, it is important to examine current research activities in the field of data usage in bioprocesses and bioproduction. By analyzing current research activities in bioproduction, this study will facilitate future research, identify research gaps and thus help to make out challenges in the development of biointelligent systems.

关键词： biointelligent production bioproduction data usage algorithm sensor

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Computational biomechanical and biodegradation integrity assessment of Mg-based biomedical devices for cardiovascular and orthopedic applications: A review

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International Journal of Lightweight Materials and Manufacture 2022年第2期5卷 251-266页

作者： Alaneme, Kenneth Kanayo Kareem, Sodiq Abiodun Olajide, Jimmy L. Sadiku, Rotimi Emmanual Bodunrin, Michael Oluwatosin Materials Design and Structural Integrity Research Group Department of Metallurgical and Materials Engineering Federal University of Technology Akure P.M.B. 704 Ondo State Nigeria Centre for Nanoengineering and Tribocorrosion School of Mining Metallurgy and Chemical Engineering Faculty of Engineering & the Built Environment University of Johannesburg South Africa Department of Mechanical and Automation Engineering Faculty of Engineering and the Built Environment Tshwane University of Technology Pretoria South Africa and the Department of Chemical Metallurgical and Materials Engineering Tshwane University of Technology Pretoria South Africa School of Chemical and Metallurgical Engineering and DSI-NRF Centre of Excellence in Strong Materials All University of the Witwatersrand WITS Private Bag 3 Johannesburg2050 South Africa African Academy of Sciences P.O. Box 24916-00502 Nairobi Kenya

Magnesium and magnesium based alloys biomaterials are considered the most viable and pragmatic choice of selection as biomedical alternatives for tissue repair of damaged bones, vascular and other biological disorders. Considering the sensitivity and health implication of implanting foreign matter into the human system, extensive studies are required before clearance for clinical trials is given. This often requires rigorous experimental evaluations of biomechanical and biodegradation properties of such biomaterials, which are often expensive, time consuming and practically demanding, and requires several validation protocols. The technical advances in computing power as well as computational modeling techniques, such as finite element analysis, have been sort to address these limitations, but very little has been catalogued in reviews on the basis of their utilization and sundry issues. This paper attempts to fill this gap by assessing from literature, how effective the application of finite element analysis has been in the evaluation of the biomechanical and biodegradation behaviour of Mg-based biomedical systems which are considered for use as stents, screws, staples, and implants for orthopedic and cardiovascular applications. The review focuses on how factors such as geometric profile of the Mg based system, the material properties and applicable physical and constitutive laws, design parameters, boundary conditions stipulated, the analysis of modeling and simulation outcomes, and agreements with experimental data, influence the potentials for utilization for real life designs of Mg based biomaterial systems. Also, the challenges that could affect their effectiveness with directions on future studies for improvements, were covered. The review will be of immense benefit to researchers, biomaterial designers and clinicians. © 2022 The Authors

关键词： Finite element method

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