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9th International Conference on Smart Computing and Communications, ICSCC 2023

作者： Neethu, A.M. Ajayan, K.K. College of Engineering Trivandrum Department of Electronics and Communication Trivandrum India

ISBN: (纸本)9798350314090

Industries can profit from automation by increasing rate of production and decreasing errors, improving safety and stabilising the manufacturing process. High levels of profitability, dependability and safety come with industrial automation. Machine learning(ML) has a place in the field of industrial automation because it makes it easier to monitor and maintain industrial machines. The pursuit of automating industrial procedures in all currently possible ways is intimately related to rational industrial development. Recent advancements in industrial automation have reduced the cost of hardware and energy use. Soft sensors provide numerous advantages including adaptability and affordability. Due to their accuracy and durability, deep learning(DL) algorithms are well known for the construction of soft sensors in difficult non-linear *** application of soft sensor for industrial automation is presented in this paper i.e, design of a soft sensor based on Deep Neural Network(DNN) for metabolic growth control of bioprocess in industry. © 2023 IEEE.

关键词： Profitability

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Automated Vickers hardness system with closed-loop control for polishing pads for semiconductor production

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Instrumentation Science and technology 2024年第4期52卷 401-414页

作者： Huy, Le Nam Quoc Hoa, Le Ngoc Quynh Haq, Muhamad Amirul Huynh, Tan-Thanh Department of Mechanical Engineering National Taiwan University of Science and Technology Taipei Taiwan Nanyang Technological University Singapore Department of Electronic and Computer Engineering National Taiwan University of Science and Technology Taiwan School of Applied Chemistry Tra Vinh University Viet Nam

Chemical mechanical polishing plays a pivotal role in enhancing the topography of wafers during semiconductor fabrication. The hardness of polishing pads holds great significance as it determines the material removal rate during the planarization process. Hence, precise determination of polishing pad hardness at both micro and macro scales is essential for optimizing the semiconductor polishing process, ensuring the prevention of wafer erosion or dishing. In this study, an automated system was developed for determining Vickers hardness of microporous polishing pads employing a closed-loop control method. The system was calibrated based on the relationship between load-unloading force and displacement observed in Vickers indentation experiments. The designed apparatus is not only successfully verified with standard values for Vickers reference blocks with less than 2% error, but it also demonstrated a smaller average relative error percentage than the commercial system using traditional open-loop measurement method. The closed-loop Vickers hardness apparatus proves to be a promising alternative for measuring hardness accurately, particularly in samples with noisy surfaces, rough surfaces, and porous microstructures. © 2023 Taylor & Francis Group, LLC.

关键词： Fabrication

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Application of Finite Partially Ordered Sets in the Determination of production Chain Planning Strategy 7

Application of Finite Partially Ordered Sets in the Determin...

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7th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2023

作者： Sobchuk, Valentyn Laptiev, Oleksandr Tsyganivska, Iryna Zhuravlev, Viktor Taras Shevchenko National University of Kyiv Engineering Sciences Mechanical and Mathematical Faculty Department of Integral and Differential Equations Kyiv Ukraine Taras Shevchenko National University of Kyiv Technical Sciences Faculty of Information Tehnology Department of Cyber Security and Information Protection Kyiv Ukraine Taras Shevchenko National University of Kyiv Physics and Mathematics Sciences Mechanical and Mathematical Faculty Department of Algebra and Computer Mathematics Kyiv Ukraine

ISBN: (纸本)9798350342154

Using the implemented planning mechanisms in modern IAMS, an approach has been developed for the application of elements of the apparatus of the mathematical theory of categories for the automation of production processes of enterprises. The use of elements of the mathematical theory of categories in IAMS provides an opportunity to build a system model that allows analyzing and predicting the behavior of subsystems, providing automatic process control, identifying and eliminating problems, and optimizing resources and processes. Category theory provides formal tools for describing the structure and relationships between objects in a system. In the context of automation of production processes, it can be applied to describe system components, their relationships and interactions between them. For manufacturing enterprises, in which the number of production divisions or production centers of a separate division (production site) is limited, the peculiarities of the application of the mathematical apparatus of the theory of categories for planning production processes and the distribution of costs in the formation of the cost of finished products have been investigated. The conditions for building strategies for utilization of technological resources of the enterprise to ensure their effective use have been obtained. © 2023 IEEE.

关键词： automation

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automation of AM Via IoT Towards Implementation of e-logistics in Supply Chain for Industry 4.0 2nd

Automation of AM Via IoT Towards Implementation of e-logisti...

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2nd International Conference on Recent Advances in Mechanical Engineering Research and Development, ICRAMERD 2021

作者： Ashima, Reem Haleem, Abid Bahl, Shashi Nandan, Devaki Javaid, Mohd Department of Mechanical Engineering Jamia Millia Islamia New Delhi110025 India Department of Mechanical Engineering I. K. Gujral Punjab Technical University Hoshiarpur Campus Hoshiarpur146001 India Department of Industrial & Production Engineering G.B. Pant University of Agriculture & Technology Pantnagar263145 India

ISBN: (纸本)9789811690563

The primary objective of this paper is to identify how industrial automation of additive manufacturing technology using Internet of Things (IoT) will leverage the quality of existing supply chain management processes. The importance of the implementation of e-logistics in supply chain operations is also delineated. An intensive desk-based literature survey study identifies potential advantages of incorporating IoT automated additive manufacturing to improve supply chain processes. We also discuss how the automation of logistics operations, also known as e-logistics, will help modernize supply chain management. The research paper comprises theoretical work about the application of automated additive manufacturing and e-logistics in modern supply chains. Detailed analysis on the advantages of implementing automated additive manufacturing technology and e-logistics in the supply chain is performed. Due to the novelty of the area, we have conducted this study based on available research material, and it is pretty limited. Various digital technologies introduced as a part of the fourth industrial revolution, such as artificial intelligence, machine learning, augmented reality, digital twins, and robotic process automation are being incorporated by supply chains to reduce the overall cost of production. The top-notch organizations are embracing supply chain automation for cutting down on operational costs and eliminating shortages. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Additive manufacturing automation e-logistics Global supply chains Industry 4.0 Internet of things

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Applications and Challenges of Machine Learning Techniques for Smart Manufacturing in Industry 4.0 7

Applications and Challenges of Machine Learning Techniques f...

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2023 7th International Conference On Computing, Communication, control And automation, ICCUBEA 2023

作者： Kolhe, Kartik Somatkar, Avinash. A. Bhandarkar, Mrunalini S. Kotangale, Kapil B Ayane, Swapnil S. Shirke, Sonal I. Vishwakarma Institute of Information Technology Department of Mechanical Engineering Pune India Pimpri Chinchwad College of Engineering Department of Electronics & Telecommunication Engineering Pune Nigdi India

ISBN: (纸本)9798350304268

The fourth industrial revolution, Industry 4.0, is transforming the manufacturing industry by integrating advanced technologies such as IoT, AI, and ML into the manufacturing process. In particular, the application of machine learning techniques in smart manufacturing has the potential to revolutionize the way manufacturers approach production. This paper reviews the various applications of machine learning techniques in smart manufacturing, including predictive maintenance, quality control, and supply chain management. We also discuss the challenges associated with implementing machine learning techniques in manufacturing, such as data management and privacy concerns, lack of skilled personnel, and the need for effective collaboration between manufacturers and technology providers. Additionally, we provide insights into the future of machine learning in manufacturing, including the potential for increased automation, improved operational efficiency, and the development of new business models. Overall, this paper highlights the potential benefits and challenges associated with the application of machine learning techniques in smart manufacturing, providing valuable insights for manufacturers looking to integrate these technologies into their operations. © 2023 IEEE.

关键词： Neural networks

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Advanced control of the 13C isotopic separation process using AI

Advanced control of the 13C isotopic separation process usin...

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2024 International Conference on Artificial Intelligence, Computer, Data Sciences, and Applications, ACDSA 2024

作者： Motorga, Roxana-Maria Muresan, Vlad Abrudean, Mihail Clitan, Iulia Unguresan, Mihaela Popescu, Adrian Technical University of Cluj-Napoca Automation Department Cluj-Napoca Romania Technical University of Cluj-Napoca Physics and Chemistry Department Cluj-Napoca Romania Technical University of Cluj-Napoca Department of Manufacturing Engineering Cluj-Napoca Romania

ISBN: (纸本)9798350394528

In this paper is introduced an approach for modeling, implementing, and simulating the production of the 13C isotope by using the simplified model of the chemical process. To address the challenges of implementing and simulating the production of the enriched isotope, this paper approaches the approximation of the fractional-order system considering that the system's differentiation order varies, leveraging artificial intelligence methods. Given the process's slow nature, strong nonlinearity, time constants of increased values, and extended time required for settling, this paper also presents a comparison between the performances of the plant obtained by implementing three control structures: a PID controller, an IMC structure with a PD controller and an IMC structure with and adaptive PD controller. This paper also emphasizes the performances obtained by the adaptive strategy, which is operating with by variation of the sampling time, having an ability to reject the impact of disturbances in the system. All coefficients for the adaptative process are learnt through artificial intelligence methods, specifically utilizing neural networks. © 2024 IEEE.

关键词： MATLAB

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The System of Electric Drive of the Dragging Camp During the automation of the Technological process of Drawing Steel Wire 5

The System of Electric Drive of the Dragging Camp During the...

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5th IEEE KhPI Week on Advanced technology, KhPIWeek 2024

作者： Khrebtova, Oksana Shapoval, Oleksandr Khrebtov, Oleg Rudych, Mykhailo Babaryka, Maryna Kozlovs'ka, Tatyana Department of Systems of Automatic Control and Electric Drive Kremenchuk Mykhailo Ostrohradskyi National University Kremenchuk Ukraine Department of Mechanical Engineering Kremenchuk Mykhailo Ostrohradskyi National University Kremenchuk Ukraine Department of Jurisprudence Sciences Kremenchuk Mykhailo Ostrohradskyi National University Kremenchuk Ukraine Central Ukrainian National Technical University Kropyvnytskyi Ukraine Kremenchuk Mykhailo Ostrohradskyi National University Kremenchuk Ukraine Kremenchuk Flight College of Kharkiv National University of Internal Affairs Kremenchuk Ukraine

ISBN: (纸本)9798350384499

The study involved an analysis of methods and electromechanical equipment during the production of metal products using wire drawing machines. For manufacturing wires with a medium diameter (1.8 ... 3.0 mm), the most promising approach is the use of wire drawing machines with a non-impact technological process, which has the potential for significant efficiency improvement through the optimization of power parameters and increasing the drawing speed. Increasing the efficiency of the wire drawing process is achievable through the modernization of existing electric drive systems, leading to a substantial increase in the overall drawing process efficiency. As for increasing the drawing speed, it can be accomplished by employing a more advanced electric drive control system. It has been proven that the electric drive based on the frequency converter - asynchronous motor is economically beneficial for use as the main electric drive in the wire drawing machine. An analysis of the operating modes of the wire drawing machine's electric drive using a mathematical model confirmed that the developed control principle provides speed regulation of wire drawing with an error that does not exceed the specified criteria. Thus, the technological process requirements are met in all operating modes. ©2024 IEEE.

关键词： Speed regulators

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A disturbance observer based intelligent control for nonstrict-feedback nonlinear systems

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Science China(Technological Sciences) 2023年第2期66卷 456-467页

作者： REN HongRu MA Hui LI HongYi LU RenQuan School of Automation and Guangdong Province Key Laboratory of Intelligent Decision and Cooperative Control Guangdong University of TechnologyGuangzhou 510006China Department of New Networks Peng Cheng LaboratoryShenzhen 518055China School of Mathematics and Statistics Guangdong University of TechnologyGuangzhou 510006China

Focusing on one class of nonlinear systems with input saturation,the adaptive fuzzy dynamic event-triggered control problem is successfully solved.A dynamic event-triggered mechanism is adopted to save the communication burden of the system,and is integrated into the controller design process based on the backstepping *** handling the asymmetric input saturation,an auxiliary system with the same order as the considered system is *** problems caused by unknown continuous functions are efficiently tackled by applying the approximation theory of fuzzy logic *** is proven that all the signals of the resulting closed-loop system are bounded via Lyapunov stability *** numerical and practical simulations are presented to demonstrate the effectiveness of the theoretical results.

关键词： intelligent control dynamic event-triggered mechanism disturbance observer

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Research on the Monitoring Method of Rice Blast Disease at Canopy Scale Based on UAV Multispectral Imaging 43

Research on the Monitoring Method of Rice Blast Disease at C...

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43rd Chinese control Conference, CCC 2024

作者： Su, Haoran Pan, Yi Qin, Linlin Wu, Gang Shi, Chun Wang, YiKun Hua, Sheng Luo, ShouWei University of Science and Technology of China Department of automation Hefei230027 China Anhui Xiyangyang Agricultural Technology Co. Ltd Hefei231521 China Anhui AnlysData Technology Co. Ltd Hefei230001 China

ISBN: (纸本)9789887581581

Rice ranks first in both sown area and total production among domestic grain crops, making it the most important food crop in China. Rice blast, also known as rice smut, is one of the most severe diseases in rice production, posing a significant challenge to rice farmers. To address this issue, a method has been developed for detecting the severity of rice blast using unmanned aerial vehicle (UAV) based on low altitude remote sensing technology and multi-spectral imaging technology. It involved collecting multi-spectral images of rice fields using UAV and extracting 18 spectral features (4 spectral bands +14 vegetation indices) and 32 texture features from these images. Pearson correlation analysis and recursive feature elimination algorithm were used to eliminate redundant features and identify sensitive feature combinations. These feature combinations were used as inputs for the RF and SVM algorithms to construct a model for the severity of rice blast disease. Simultaneously, the ResNet-18 convolutional neural network was trained using the R, G, B, and NIR bands as inputs. The results showed that the fusion of spectral and texture features can effectively improve the recognition rate of machine learning models. The convolutional neural network model based on ResNet-18 achieved the highest classification accuracy (OA=89.31%) for rice blast disease, outperforming the support vector machine classifier (OA=82.46%) and random forest classifier (OA=75.81%). It has been demonstrated that UAV multispectral imaging technology can accurately detect rice blast disease, while also offering the advantages of speed and non-destructiveness. © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： Support vector machines

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Pyrolysis technologies for biochar production in waste management:a review

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Clean Energy 2024年第4期8卷 61-78页

作者： Kavan Kumar V N.L.Panwar Department of Renewable Energy Engineering College of Technology and EngineeringMPUATUdaipurRajasthan 313001India

Pyrolysis is a thermal conversion process in the absence of air to derive energy components from the ***-energy technologies will play a major role in addressing future challenges related to environmental safety and energy *** of the many easily available renewable energy sources is biomass-an organic material that is thought to be *** technology is a thermochemical process that can be used to produce useful products from biomass,such as biochar,bio-oil and combustible pyrolysis *** structure and relative product yield are impacted by the pyrolysis method *** article evaluates different approaches for biomass ***,slow and advanced pyrolysis methods using various pyrolyser reactors have been studied in the literature and are provided to increase the variety and use of these methods in upcoming studies and re*** pyrolysis can lead to increased ecological well-being,as it increases the amount of biochar produced using auger and rotary-kiln *** pyrolysis,mainly in fluidized-bed reactors with bubbling and rotating circulation,can be used to obtain *** pyrolysis methods offer a good probability of yielding great prosperity for specific *** selection of a pyrolysis process is based on the required output in terms of solid,liquid and gaseous fuels,and the parameter plays a crucial role in the pyrolysis performance.

关键词： biomass thermochemical process slow pyrolysis fast pyrolysis and advanced pyrolysis

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