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The Future of Smart Factories: Real-Time automation and Big Data Analytics on the Cloud 15

The Future of Smart Factories: Real-Time Automation and Big ...

引用

15th international conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Singh, K. Ranjith Arora, Arpit Goud, Dilip Ambika, Krovvidi S B Sandeep, V. More, Priyanka Karpagam Academy of Higher Education Department of Computer Science Coimbatore641021 India Chitkara University Institute of Engineering and Technology Chitkara University Punjab India NNRG Engineering College India ADITYA COLLEGE of ENGINEERING and TECHNOLOGY Department of CSE-AI&ML & DS Surampalem India School of Engineering and Technology Mechaical Engineering Karnataka Bangalore India Vishwakarma Institute of Technology Department of Computer Engineering Pune India

ISBN: (纸本)9798350370249

The evolving future of manufacturing will be all about intelligent factories featuring state-of-the-art technologies. Smart factories combine connected automation and big data in the cloud to streamline production, increase productivity, and lower operational costs. Real-time automation utilizes state-of-the-art sensors, internet of Things (IoT) devices, and artificial intelligence (AI) technology to monitor and control machines or processes in real time independently. This results in faster potential decision-making and bright maintenance works, thus decreasing downtime risk and increasing overall productivity. Big data analytics in the cloud enables real-time collection and analysis of extensive amounts of production processes, machine performance, and supply chain management-related information. The data can then be utilized to discover areas that need improvement, predict maintenance requirements, and even optimize the level of inventories in the sense that it would save costs while at the same time becoming more efficient. Also, real-time automation combined with significant cloud data analytics results in improved communication and collaboration from one production stage to another, hence smooth operations. In other words, it helps create an even more agile and adaptable manufacturing environment where processes can be fine-tuned on the fly to deal with dynamic market shifts. © 2024 IEEE.

关键词： Smart manufacturing

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Towards the automation of the Product Definition Process for Design-to-Order Manufacturing Systems 5th

Towards the Automation of the Product Definition Process for...

引用

5th international conference on Innovative Intelligent Industrial Production and Logistics

作者： Beauchemin, Maude Gaudreault, Jonathan Zwingmann, Xavier Lehoux, Nadia Univ Laval Quebec City PQ Canada

ISBN: (纸本)9783031807749;9783031807756

In the last decade, the focus of automation in the manufacturing industry has been on the physical and logical aspects of the production system, supposing the product definition is well known. The steps required to create this product definition (in terms of design, engineering, and industrialization) are still mostly achieved by humans, although making use of the computer-aided tools that compose the CAx chain. This is efficient when the same product is afterward produced thousands of times, making the extensive human labor profitable. However, for design-to-order manufacturing systems, such a methodology suffers from long lead times and exorbitant costs directly transferred to the client. Industrial visits and discussions with design-to-order manufacturers followed by a detailed modelization of their current manufacturing processes led us to target the need for automation of the product definition process. We propose a new approach focusing on product families defined by data and algorithms which encapsulate product family semantics. This approach allows clients to generate their own personalized product definitions from this family in a few clicks. Our approach is currently implemented in SMEs from different industries, ranging from the construction industry to the medical implant sector, as well as our own research factory producing personalized micro-trailers.

关键词： Design-to-order Industrialization CAD/CAM Process automation

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Research on Key Technologies of Network Security Situational Awareness Based on Big Data 2

Research on Key Technologies of Network Security Situational...

引用

2nd IEEE international conference on Electrical, automation and computer engineering, ICEACE 2024

作者： Li, Yuxiang Guangdong University of Science and Technology Department of Computer Science Dongguan523083 China

ISBN: (纸本)9798350368208

This paper delves into the critical technologies for cybersecurity situational awareness in big data environments and proposes a comprehensive framework that integrates feature extraction, assessment and prediction. Firstly, in the feature extraction phase, autoencoders are employed to efficiently extract features from complex network data and identify potential security anomalies. Secondly, an improved Dempster-Shafer (D-S) evidence theory is used to assess cybersecurity threats. By introducing an expectation deviation function for uncertainty variables, the credibility of experts is optimized, and local conflicts among evidence are resolved. Finally, a hybrid model combining uncertain evidence theory with deep learning methods is constructed to predict potential attack scenarios. The model's predictive capabilities and computational efficiency are enhanced through optimization. The research results demonstrate that this framework significantly improves the accuracy and real-time performance of cybersecurity situation assessment, offering substantial social value in addressing cybersecurity challenges in big data environments. © 2024 IEEE.

关键词： Cybersecurity

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Dynamic analysis of the high-voltage wire protecting system considering fractional derivative cable damping 10

Dynamic analysis of the high-voltage wire protecting system ...

引用

10th international conference on Mechanical engineering, Materials, and automation Technology, MMEAT 2024

作者： Liu, Kai Jiang, Ming Shi, Qiang Institute of Transmission and Transformation Engineering China Electric Power Research Institute Beijing100055 China

ISBN: (纸本)9781510682634

In the electricity facilities construction and operation process. accurate prediction of the wire which undergoes large rotation and deformation motion is very important for the design of cross-frame. Besides, the wire usually shows nonlinear overall material damping property, which can have significant effect on the dynamic simulation of the wire. In this paper, the ANCF cable element is used to build the high-voltage wire model. Based on this framework, the fractional derivative damping model is introduced and its computer implementation algorithm is given. A longitudinal vibration cantilever beam model and a 1:1 protecting system contains a retractable cross-frame is tested. The feasibility of the proposed algorithm is proved. © 2024 SPIE.

关键词： Damping

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Research on Aerial Image Object Detection Methods Based on YOLOv7 with Different Attention Mechanisms 2

Research on Aerial Image Object Detection Methods Based on Y...

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2nd IEEE international conference on Electrical, automation and computer engineering, ICEACE 2024

作者： Qian, Kai Northeastern University Electrical and Computer Engineering Boston United States

ISBN: (纸本)9798350368208

This study explores the effect of integrating attention mechanisms into the YOLOv7 architecture for aerial image object detection, aiming to enhance the model's capability to focus on critical regions and improve detection accuracy. Specifically, the Convolutional Block Attention Module (CBAM) and Efficient Channel Attention (ECA) module were embedded into YOLOv7 at layers 25 and 39, targeting stages where mid-level and high-level features are processed. These layers were strategically selected to capitalize on attention mechanisms for refining spatial and semantic feature representation. Despite these efforts, experimental results revealed that these modifications did not yield significant performance improvements. Including CBAM and ECA, we introduced additional computational overhead without enhancing detection accuracy relative to the original YOLOv7 model. This outcome indicates that the unique characteristics of aerial imagery - such as large, homogeneous backgrounds and relatively larger object scales - may limit the effectiveness of attention mechanisms in this context. These results align with broader findings that highlight the domain-specific nature of attention modules. Moving forward, alternative strategies for optimizing YOLOv7 for aerial imagery will be explored, focusing on balancing model accuracy and computational efficiency. © 2024 IEEE.

关键词： Aerial photography

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Use Feed-Forward Neural Network to Predict the Brain Stroke Based on One-Dimensional Data 2

Use Feed-Forward Neural Network to Predict the Brain Stroke ...

引用

2nd IEEE international conference on Electrical, automation and computer engineering, ICEACE 2024

作者： Gao, Yechuan Faculty of Computer Science Jinan China

ISBN: (纸本)9798350368208

World Health Organization (WHO) has classified stroke as a dangerous disease. Currently, there are no effective methods to treat strokes, but if strokes could be accurately predicted in advance, the disability and death will decrease. Traditional stroke diagnosis heavily relies on the clinical experience of doctors, and the diagnosis process consumes time and energy. Machine learning has developed in recent years, which makes it possible to predict strokes. This article uses Feed-Forward Neural Network (FNN) and traditional machine learning methods, which include Extreme Gradient Boosting (XGBoost), Support Vector Machine (SVM), and decision tree (DT) methods, then compares the prediction performance among these methods. The FNN achieved the best performance, which reaches an accuracy rate of 81% at most, and the accuracy rate is very close to methods that use other methods. One-dimensional data simplifies the hardness of the experiment, it lowers the cost of prediction, and the accuracy could be further improved if the dataset includes continuous data such as heart rate and blood pressure, and these items could preserve timing information. This article aims to provide some support for researchers working in related fields. © 2024 IEEE.

关键词： Support vector machines

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Risk Management in Robotic Process automation 2

Risk Management in Robotic Process Automation

引用

2nd IEEE international conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2024

作者： Yendluri, Dileep Kumar Thatikonda, Ramya Thatikonda, Reshmi Ponnala, Jainath Kempanna, M. Bhuvanesh, A. University of the Cumberlands Department of Computer Science Williamsburg United States University of the Cumberlands Department of Information Technology Williamsburg United States University of Central Missouri Department of Computer Information Systems Williamsburg United States Jawaharlal Technological University Department of Electronics and Communication Engineering Hyderbad India Bangalore Institute of Technology Department of Artificial Intelligence and Machine Learning Bangalore India Psn College of Engineering and Technology Department of Electrical and Electronics Engineering Tirunelveli India

ISBN: (纸本)9798350360523

The paper investigates the nuances of RPA risk management, detailing the difficulties, tendencies, and approaches organizations must adopt to integrate RPA into their operations successfully. From automation to optimization, RPA's impact on industry workflow is revolutionary. However, RPA introduces a spectrum of technical, operational, business, and compliance risks alongside its benefits. Amidst the intricate landscape of RPA, this paper sheds light on key risks. It offers practical strategies for tackling them, enabling organizations to confidently unlock automation's transformative power. Trends like advanced analytics fusion, AI-driven risk analysis, and blockchain utilization will likely influence future RPA risk management. In addition, the paper discusses evolving challenges, including ethical issues, breakneck technology evolution, and digital security dangers. Using an in-depth examination of RPA risk management, this paper prepares organizations for the ever-changing automation environment with informed decisions and proactive measures. © 2024 IEEE.

关键词： Risk assessment

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PROP - where learning is made fun

PROP - where learning is made fun

引用

2024 IEEE international Students' conference on Electrical, Electronics and computer Science, SCEECS 2024

作者： Rajeshwari, P. Banushree, B. Nair, Niveditha G. Nivya, Nivya Krupa, Shri Dayananda Sagar College of Engineering Department of Electronics and Telecommunication Engineering Bangalore India

ISBN: (纸本)9798350348460

Writing in air has become a significant research area in image processing and pattern recognition, contributing to automation and improving human-machine interfaces in various applications. Object tracking, a crucial task in computer Vision, is increasingly popular due to faster computers, high-quality video cameras, and automated video analysis demands. This study provides a comparison of virtual air canvas using OpenCV and Mediapipe and air canvas application using OpenCV and Numpy in python. Further it dwells into usage of Augmented Reality for educational purposes and how if these two if are integrated together will revolutionize teaching and learning © 2024 IEEE.

关键词： Augmented Reality computer Vision Mediapipe Numpy Object Tracking Virtual Air Canvas

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Improved image steganography based on the lowest effective bits 2

Improved image steganography based on the lowest effective b...

引用

2nd IEEE international conference on Electrical, automation and computer engineering, ICEACE 2024

作者： Yao, Yiming Ocean University of China Hyder College Qingdao266100 China

ISBN: (数字)9798350368208

ISBN: (纸本)9798350368208

With the rapid development of technology, information security has become increasingly important. In order to make the transmission of information more secure and reliable, the traditional method is to encrypt the information, but there are certain limitations. Once the encrypted information is intercepted, the security of the ciphertext is greatly threatened, so the stealth of the ciphertext needs to be upgraded. This paper verifies the effectiveness of improving the concealment of encrypted information through three groups of experiments. First, the ciphertext is embedded in the least significant bit of a single channel, then the ciphertext is divided into blocks and embedded in the least significant bit of different channels in turn. This experiment is more secure than the first experiment. Finally, the ciphertext is scrambled and divided into blocks and hidden in multiple channels. Through the results of the three experiments, it can be seen that the embedded ciphertext carrier is almost imperceptibly different from the original carrier, achieving the safe hiding of the ciphertext. Compared with traditional encryption processing technology, steganography is more secure and reliable for hiding and protecting information. © 2024 IEEE.

关键词： Steganography Visualization Information security Information processing Copyright protection Software Software reliability Encryption Protection computer security

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Research on the Adaptability of Unmanned Aerial Vehicle Route Planning Based on Genetic Algorithm in Complex Environments 2

Research on the Adaptability of Unmanned Aerial Vehicle Rout...

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2nd IEEE international conference on Electrical, automation and computer engineering, ICEACE 2024

作者： Zhang, Jun Zhan, Yifei Cao, Yuexiang Air Force Engineering University Xi'an710000 China Air Force Engineering University Air Traffic Navigation College Xi'an710000 China Air Force Engineering University Information and Navigation College Xi'an710000 China

ISBN: (纸本)9798350368208

This paper proposes a multi-objective Unmanned Aerial Vehicle (UAV) route planning algorithm based on an improved genetic algorithm to address the challenges faced by UAVs in complex environments, such as multiple dynamic obstacles, rapid environmental changes, and difficulties in path optimization. Firstly, based on the task description of UAV route planning and the traditional genetic algorithm model, a UAV route planning model is established to obtain key information such as waypoints, obstacles, and environmental features. Secondly, in order to improve the adaptability and search efficiency of the algorithm, a strategy is proposed to introduce an environmental adaptability term and an adaptive crossover function. Furthermore, based on the characteristics of complex environmental data, an improved genetic algorithm model was constructed that comprehensively considers the impact of environmental factors and UAV performance, providing a more accurate description of the UAV's route planning problem in complex environments. Finally, a UAV route planning system based on an improved genetic algorithm was built, and through simulation and experimental verification, it was proven that the algorithm proposed in this paper can effectively improve the performance of UAV route planning in complex environments. © 2024 IEEE.

关键词： Direct air capture

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