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Leveraging Industry 4.0 in Education for Remote Implementation in a Team-Based computer engineering Capstone Project

Leveraging Industry 4.0 in Education for Remote Implementati...

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Frontiers in Education (FIE) conference

作者： Sangit Sasidhar Jithin Vachery Department of Electrical and Computer Engineering National University of Singapore Singapore School of Computing National University of Singapore Singapore

ISBN: (数字)9798350351507

ISBN: (纸本)9798350363067

This Innovative Practice Category Full Paper presents the remote implementation of an embedded systems capstone project for computer engineering students. A capstone project is a feature of most undergraduate programs in computer engineering. Such a project is usually meant to expose students to the development of a large system from conceptualization to its final implementation, involving substantial design and development of hardware and software components. In our university, students were given the opportunity to work on a cutting-edge problem focused on healthcare - “Designing a wearable device that automatically detects human activities”. It is an area where a large amount of research is ongoing, and hundreds of scientific papers are published every year. In addition, students had to evaluate and adopt techniques from existing literature and adapt them to meet the problem requirements. Students equipped themselves with state-of-the-art hardware, Bio-signal processing, machine learning, power optimization and secure communications to design the wearable. Thus, the project reinforced their knowledge of fundamentals, while exposing them to a problem with no obvious solution. Through the capstone project, students are able to better appreciate the relevance of the various components in the computer engineering curriculum to large-scale computer engineering projects. Students are organized into teams of six to execute the project. The COVID-19 pandemic resulted in the university migrating the teaching online for all courses. This was particularly challenging to implement for the capstone project as one of the key requirements is for the members to work together and subsystems to interact with each other. A course refresh resulted in a credits update and this provided a unique opportunity for the teaching team to re-design the project with core Industry 4.0 technologies such as hardware acceleration, remote processing, networking, remote analytics, and secure protoc

关键词： COVID-19 Surveys Protocols Portable computers Pandemics Reviews Education software fourth Industrial Revolution Wearable devices

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Photogrammetry for Digital Twinning Industry 4.0 (I4) systems

Photogrammetry for Digital Twinning Industry 4.0 (I4) System...

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ACS/IEEE International conference on computer systems and Applications

作者： Ahmed Alhamadah Muntasir Mamun Henry Harms Mathew Redondo Yu-Zheng Lin Jesus Pacheco Soheil Salehi Pratik Satam Department of Systems and Industrial Engineering University of Arizona Department of Electrical and Computer Engineering University of Arizona School of Industrial Engineering University of Sonora Mexico

ISBN: (数字)9798331518240

ISBN: (纸本)9798331518257

The onset of Industry 4.0 is rapidly transforming the manufacturing world through the integration of cloud computing, machine learning (ML), artificial intelligence (AI), and universal network connectivity, resulting in performance optimization and increased productivity. Digital Twins (DT) are one such transformational technology that leverages software systems to replicate physical process behavior, and representing it in a digital environment. This paper aims to explore the use of photogrammetry (which is the process of reconstructing physical objects into virtual 3D models using photographs) and 3D Scanning techniques to create accurate visual representation of the ‘Physical Process', to interact with the ML/AI based behavior models. To achieve this, we have used a readily available consumer device, the iPhone 15 Pro, which features stereo vision capabilities, to capture the depth of an Industry 4.0 system. By processing these images using 3D scanning tools, we created a raw 3D model for 3D modeling and rendering software for the creation of a DT model. The paper highlights the reliability of this method by measuring the error rate in between the ground truth (measurements done manually using a tape measure) and the final 3D model created using this method. The overall mean error is 4.97 % and the overall standard deviation error is 5.54% between the ground truth measurements and their photogrammetry counterparts. The results from this work indicate that photogrammetry using consumer-grade devices can be an efficient and cost-efficient approach to creating DTs for smart manufacturing, while the approaches flexibility allows for iterative improvements of the models over time.

关键词： Solid modeling Visualization Three-dimensional displays Accuracy Measurement uncertainty fourth Industrial Revolution Digital twins Photogrammetry Standards Smart manufacturing

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PrinterLeak: Leaking Sensitive Data by Exploiting Printer Display Panels 23rd

PrinterLeak: Leaking Sensitive Data by Exploiting Printer D...

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23rd International conference on Computational Science and Its Applications, ICCSA 2023

作者： Guri, Mordechai Department of Software and Information Systems Engineering Cyber-Security Research Center Ben-Gurion University of the Negev Be’er Sheva Israel

ISBN: (纸本)9783031371103

Sensitive networks hold and process confidential information and, therefore, are kept separate from the Internet. This defensive measure is known as an ‘air gap.’ In this paper, we show that attackers can exploit networked printers to exfiltrate data from air-gapped networks. We show that malware in the network can control the printer display screen and status LEDs and modulate sensitive information over them using documented and undocumented firmware and software level commands. Local or remote adversaries can intercept and decode these signals from a few meters to hundreds of meters away. For reception, they can use a smartphone, a local surveillance camera, or camera mounted on a drone. The display panels of printers are currently not monitored or protected by any security measures, such as intrusion detection systems (IDS) and intrusion prevention systems (IPS), which makes this attack highly evasive. We provide technical details, discuss the attack model, and present related work. We evaluate this new type of attack and discuss the necessary countermeasures, both defensive and preventive. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Firmware

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Smart Retrofit Solution: An Architecture for Digital Innovation

Smart Retrofit Solution: An Architecture for Digital Innovat...

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IEEE International conference on engineering, Technology and Innovation

作者： Ilaria Pietrangeli Giovanni Mazzuto Filippo Emanuele Ciarapica Maurizio Bevilacqua Marco Ortenzi Department of Industrial Engineering and Mathematical Science Università Politecnica delle Marche Ancona Italy

ISBN: (数字)9798350362435

ISBN: (纸本)9798350362442

As industries progress toward Industry 4.0 and subsequent frameworks, integrating advanced technologies into existing machinery is increasingly recognized as essential for maintaining competitive advantages and adapting to new industrial standards. This paper discusses a modular architecture named Smart Retrofit Solution, which was developed to upgrade legacy machinery cost-effectively. The proposed architecture supports a range of intelligent components, including hardware (devices and sensors) and software (programs and algorithms), which facilitate the integration process without requiring extensive customization. The design aims to enhance older systems performance, connectivity, and functionality, providing a scalable and economical solution for upgrades, particularly suitable for Small and Medium Enterprises. Despite the potential benefits, retrofitting presents challenges related to overcoming inherent design or material limitations of the existing systems. Furthermore, regulatory compliance after substantial modifications, introduces additional complexities and costs, leading to potential unnecessary expenditures. The provided analysis suggests that while retrofitting is often cost-effective in the short term, the decision to retrofit should consider both the immediate and long-term strategic benefits of adopting new technologies, considering the full spectrum of operational and regulatory impacts. This assessment supports the understanding of smart retrofitting as a strategic response to the demands of modernization in industrial contexts.

关键词： Technological innovation System performance software algorithms computer architecture software Hardware fourth Industrial Revolution Machinery Intelligent sensors Stress

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Improving Faster R-CNN for Vehicle Detection under Varying Conditions with Domain Adaptation Technique

Improving Faster R-CNN for Vehicle Detection under Varying C...

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Power, Control and Computing Technologies (ICPC2T), conference on

作者： Hemant Kumar Pushpa Mamoria Deepak Kumar Dewangan Department of Computer Science & Engineering Chhatrapati Shahu Ji Maharaj University Kanpur India Department of Computer Application Chhatrapati Shahu Ji Maharaj University Kanpur India Department of Computer Science & Engineering ABV-IIITM Gwalior India

ISBN: (数字)9798331530402

ISBN: (纸本)9798331530419

In recent years, the rapid progress in autonomous driving technology has transformed the automotive industry, positioning vehicle detection as a vital component to guarantee secure and efficient navigation. This article presents an upgraded Faster R-CNN architecture that incorporates a SelfSupervised Thermal Network (SSTN) to advance vehicle detection, specifically in unfavorable weather conditions. This model is built using MobileNetV3 as its backbone and is enhanced with a Feature Pyramid Network (FPN) for extracting features at multiple scales. Additionally, it employs self-training and pseudo-labeling techniques to facilitate domain adaptation. The model is trained and tested using the DAWN dataset, which includes difficult scenarios such as fog, rain, sandstorms, and snowstorms. Experimental results demonstrate that the improved Faster R-CNN with SSTN significantly outperforms some modern methods, achieving an accuracy of 87.15%, a mean Average Precision (mAP) of 85.20%, and a recall rate of 81.37%. Although it lacks behind the traditional method like HOG-SVM. This approach enhances the reliability of vehicle detection systems in varying environmental conditions, making it a valuable contribution to the development of robust autonomous driving systems.

关键词： Adaptation models Rain Accuracy Storms Vehicle detection Snow Feature extraction Reliability Autonomous vehicles software development management

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Verified Optimization (work in progress) 14

Verified Optimization (work in progress)

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Joint of the 5th Workshop on Formal Mathematics for Mathematicians, FMM 2019, 2nd Workshop on Formal Verification of Physical systems, FVPS 2021, 13th Workshop on Mathematical User Interaction, MathUI 2021, 2021 Workshop on Natural Formal Mathematics, NatFoM 2021, and 31st OpenMath Workshops, OM 2021 Doctoral Program and Work in Progress at the 14th conference on Intelligent computer Mathematics, CICM-WS 2021

作者： Bentkamp, Alexander Avigad, Jeremy Vrije Universiteit Amsterdam Department of Computer Science De Boelelaan 1111 Amsterdam1081 HV Netherlands State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences No. 4 South Fourth Street Zhong Guan Cun Beijing100190 China Carnegie Mellon University Department of Philosophy Baker Hall 161 PittsburghPA15213 United States

Optimization is used extensively in engineering, industry, and finance, and various methods are used to transform problems to the point where they are amenable to solution by numerical methods. We describe progress towards developing a framework, based on the Lean interactive proof assistant, for designing and applying such reductions in reliable and flexible ways. © 2021 Copyright for this paper by its authors.

关键词： Convex optimization

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Maximum Attainable Phase Shift Angle in Practical Current Source Fed Semi-Active Rectifier

Maximum Attainable Phase Shift Angle in Practical Current So...

引用

Compatibility in Power Electronics (CPE)

作者： Andrey Vulfovich Pavel Strajnikov Alon Kuperman School of Electrical and Computer Engineering Ben-Gurion University of the Negev Be'er Sheba Israel

ISBN: (数字)9798350318265

ISBN: (纸本)9798350318272

Semi active rectifiers (SAR) have proven to be a solid middle ground in terms of performance, when compared to standard full bridge diode rectifiers and active rectifiers (AR), in matters of system complexity and efficiency. Phase shift control is often applied to these systems in cases when output regulation and or/load matching is required. This paper analyzes non-ideal SAR, considering voltage transients caused by parasitic capacitance of the lower leg transistors, in order to derive the maximum shift angle for which correct system operation is maintained. The analytical results are then solidified by a numerical example simulated in PSIM software.

关键词： Solid modeling Computational modeling systems operation Rectifiers Zero voltage switching Solids Delays

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Introducing CAD/CAE tools in Robotics Education: a Case Study from the Deetechtive Project

Introducing CAD/CAE tools in Robotics Education: a Case Stud...

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IEEE/ASME International conference on Mechtronic and Embedded systems and Applications, MESA

作者： Mario Baggetta Mariusz Cholewa Mateusz Molasy Maria Rosienkiewicz Joanna Helman Anna Górecka Maxime Bourgain Athith Sagar Dan Kohen-Vacs Michael Winokur Arriel Benis Federico Balugani Giovanni Berselli University of Genova Italy Wroclaw University of Science and Technology Poland Institute of Technology Transfer Sp. z o.o Poland EPF–Graduate School of Engineering France Art et Métiers Institute of Technologie France Centria University of Applied Sciences Finland Holon Institute of Technology Israel

ISBN: (数字)9798331516239

ISBN: (纸本)9798331516246

Innovative educational models in engineering are essential in Higher Education Institutions (HEIs) to keep-up with fast-changing requests from the labour market and to promote deep-tech entrepreneurship inside the student community. Within this scenario, the present paper reports about a successful initiative, conducted in the framework of the European Project Deetechtive, focused on introducing engineering design concepts and related virtual prototyping tools in the context of Robotics engineering. In particular, a project-based learning activity, aimed at initiating PhD students (with a background outside mechanical engineering), to the use of computer-Aided Design/engineering (CAD/CAE) tools is reported. After a short introduction concerning the role of CAD/CAE in engineering design, the short course has equipped students with the basic skills necessary to draw functional components of a simple robotic manipulation system. The course comprised a low-level theoretical introduction (with due reference for future studies), with hands-on lab exercises on advanced CAD/CAE software such as PTC Creo. Overall, the paper outlines the educational objectives, details the phases of the classes, and discusses the design/simulation packages employed during the teaching activity.

关键词： Mechatronics Embedded systems engineering profession Education Europe Entrepreneurship Virtual prototyping software tools Mechanical engineering Robots

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Optimization Machining Processes in Multi-User Cyber-Physical Cells: A Comparative

Optimization Machining Processes in Multi-User Cyber-Physica...

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Automation, Robotics and computer engineering (ICARCE), International conference on

作者： Giovani S. M. Martins Thiago Martins Thiago R. Soares Ighor H. L. Zafalão Anderson C. Fernandes Ávaro P. Graziani Bruna Z. Camillo Roberto Simoni Luís Gonzaga Trabasso University Center SENAI/SC Campus Joinville Joinville Brazil POSECM Federal University of Santa Catarina Joinville Brazil SENAI Institute of Innovation in Manufacturing and Laser Processes Joinville Brazil

ISBN: (数字)9798331529505

ISBN: (纸本)9798331529512

This article presents the virtual commissioning of a multi-user cyber-physical laboratory for remote access (Multicyber) integrated with Industry 4.0 technologies to promote neoindustrialization. The project incorporates Digital Twins, Virtual and Augmented Reality, Artificial Intelligence, Industrial Robotics, Vision systems, Autonomous and Collaborative Robots, Cybersecurity, and the Industrial Internet of Things. The objective of the Multicyber project is to create a demonstration center focused on advancing applied research in manufacturing processes. The laboratory features a manufacturing cell with an Autonomous Mobile Robot (AMR), a collaborative anthropomorphic manipulator (cobot), quality inspection via computer vision, a five-axis machine, and a robotic arm for machining. This study presents the simulation of three complete manufacturing routines. Plant Simulation software was used to obtain travel times for the AMR, inspection, and part removal stages, while NX software was used for detailed machining simulations with precision adjustments. The results highlight the benefits of using robotic arms in manufacturing and demonstrate how AMRs and cobots can add value through the planning and integration of routines.

关键词： Service robots Machining Collaborative robots Production Manipulators software fourth Industrial Revolution Digital twins Planning Robots

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Test Case Optimization based on Specification Diagrams and Simulation Invocation Relationship 4

Test Case Optimization based on Specification Diagrams and S...

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4th International conference on Electrical, computer and Communication Technologies, ICECCT 2021

作者： Padmanabhan, Mani Faculty of Computer Applications SSL Tamil Nadu Vellore India

ISBN: (纸本)9781665414807

The growing usage of software-based products is coupled with day-to-day human life. The software engineering technology can be more eye-catching among artificial intelligent-based software developers. The artificial intelligence systems such as the human machine interaction process are difficult to identify the pre-conditions during the development. Re-engineering is essential for artificial intelligent systems-based applications. Regression testing has assured the quality of products during the re-engineering process. The test cases are a core component in regression testing. Test case optimization and selection is a major activity to reduce the time and cost during regression testing. Many test case selection techniques have solved the problems in regression testing, however, the techniques seem to have much focus on reducing the number of test cases. This research proposes a test case optimization-based specification diagram. In the test, case selections are controlled by the simulation invocation relationship. The proposed simulation invocation methodology identified the simulations to be affected during the reengineering process. The proposed optimization algorithm produced the test cases based on the fault coverage criteria. This approach had validated with three artificial intelligent-based systems during regression testing. The comparative analysis shows that the proposed approach is well suitable for re-engineering in terms of the average percentage of fault detected values. © 2021 IEEE.

关键词： software testing

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