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The Interplay Between Industry 4.0 Technologies and Business Performance: Evidence From a Multiple Case Study in the Automotive Sector

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IEEE engineering Management Review 2024年第1期52卷 108-120页

作者： Piepoli, Antonio Arcidiacono, Francesco Basile, Luigi Jesus Pellegrino, Roberta Schupp, Florian Zuehlke, Tobias Polytechnic University of Bari Department of Mechanics Mathematics and Management Bari70126 Italy Schaeffler Automotive Buehl GmbH & Co. KG Buehl77815 Germany University of Catania Department of Electrical Electronic and Computer Engineering Catania95124 Italy

Several automotive industry players are investing in the implementation of Industry 4.0 (I4.0). However, the adoption of I4.0 technologies in automotive supply chains (SCs) is still not uniform, which limits the value creation of advanced technologies. In particular, suppliers, which play a crucial role in the automotive SC, often struggle in their I4.0 projects. Since their adoption of I4.0 technologies can significantly impact the overall performance and value creation within the SC, it is crucial to gain insights into actions and strategies that can support suppliers' I4.0 implementations. Building on a multiple case study approach, this article aims at providing guidance to prospective I4.0 adopters by investigating the organizational-level actions that support I4.0 projects, the financial capital and KPIs typically used by suppliers, and the resulting impact of I4.0 technology implementation on business performance. Evidence shows that the planning stage of I4.0 initiatives, from the organizational-level actions to the investment strategy, is a complex and strategic stage for ensuring success. Equally important are the external collaborations, which ensure that firms are in line with technological innovation and market needs. Finally, results show that the implementation of more advanced I4.0 technologies is correlated with a more robust improvement in business performance. © 1973-2011 IEEE.

关键词： Investments

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Human Gait Recognition for Biometrics Application Based on Deep Learning Fusion Assisted Framework

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computers, Materials & Continua 2024年第1期78卷 357-374页

作者： Ch Avais Hanif Muhammad Ali Mughal Muhammad Attique Khan Nouf Abdullah Almujally Taerang Kim Jae-Hyuk Cha Department of Electrical Engineering HITEC UniversityTaxila47080Pakistan Department of Computer Science and Mathematics Lebanese American UniversityBeirutLebanon Department of Computer Science HITEC UniversityTaxila47080Pakistan Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science Hanyang UniversitySeoul04763Korea

The demand for a non-contact biometric approach for candidate identification has grown over the past ten *** on the most important biometric application,human gait analysis is a significant research topic in computer *** have paid a lot of attention to gait recognition,specifically the identification of people based on their walking patterns,due to its potential to correctly identify people far *** recognition systems have been used in a variety of applications,including security,medical examinations,identity management,and access *** systems require a complex combination of technical,operational,and definitional *** employment of gait recognition techniques and technologies has produced a number of beneficial and well-liked *** proposes a novel deep learning-based framework for human gait classification in video *** framework’smain challenge is improving the accuracy of accuracy gait classification under varying conditions,such as carrying a bag and changing *** proposed method’s first step is selecting two pre-trained deep learningmodels and training fromscratch using deep transfer ***,deepmodels have been trained using static hyperparameters;however,the learning rate is calculated using the particle swarmoptimization(PSO)***,the best features are selected from both trained models using the Harris Hawks controlled Sine-Cosine optimization *** algorithm chooses the best features,combined in a novel correlation-based fusion ***,the fused best features are categorized using medium,bi-layer,and tri-layered neural *** the publicly accessible dataset known as the CASIA-B dataset,the experimental process of the suggested technique was carried out,and an improved accuracy of 94.14% was *** achieved accuracy of the proposed method is improved by the recent state-of-the-art techniques that show the significance of this wor

关键词： Gait recognition covariant factors biometric deep learning fusion feature selection

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An Adaptive Metaheuristic Framework for Changing Environments 13

An Adaptive Metaheuristic Framework for Changing Environment...

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13th IEEE Congress on Evolutionary Computation, CEC 2024

作者： Ahmed, Bestoun S. Karlstad University Department of Mathematics and Computer Science Karlstad65188 Sweden Czech Technical University in Prague Faculty of Electrical Engineering Department of Computer Science Prague16627 Czech Republic

ISBN: (纸本)9798350308365

The rapidly changing landscapes of modern optimization problems require algorithms that can be adapted in real-time. This paper introduces an Adaptive Metaheuristic Framework (AMF) designed for dynamic environments. It is capable of intelligently adapting to changes in the problem parameters. The AMF combines a dynamic representation of problems, a real-time sensing system, and adaptive techniques to navigate continuously changing optimization environments. Through a simulated dynamic optimization problem, the AMF's capability is demonstrated to detect environmental changes and proactively adjust its search strategy. This framework utilizes a differential evolution algorithm that is improved with an adaptation module that adjusts solutions in response to detected changes. The capability of the AMF to adjust is tested through a series of iterations, demonstrating its resilience and robustness in sustaining solution quality despite the problem's development. The effectiveness of AMF is demonstrated through a series of simulations on a dynamic optimization problem. Robustness and agility characterize the algorithm's performance, as evidenced by the presented fitness evolution and solution path visualizations. The findings show that AMF is a practical solution to dynamic optimization and a major step forward in the creation of algorithms that can handle the unpredictability of real-world problems. © 2024 IEEE.

关键词： Adaptive Metaheuristics Dynamic Optimization Evolutionary Computation Optimization in Changing Environments Real-Time Algorithm Adaptation

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Effective Kinodynamic Planning and Exploration Through Quality Diversity and Trajectory Optimization 18th

Effective Kinodynamic Planning and Exploration Through Qual...

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18th International Conference on Learning and Intelligent Optimization, LION 2024

作者： Asimakopoulos, Konstantinos A. Androutsopoulos, Aristeidis A. Vrahatis, Michael N. Chatzilygeroudis, Konstantinos I. Department of Electrical and Computer Engineering University of Patras Patras26504 Greece Department of Mathematics University of Patras Patras26110 Greece University of Patras Patras26504 Greece

ISBN: (纸本)9783031756221

Efficient and rapid kinodynamic planning is crucial for numerous real-world robotics applications. Various methods have been proposed to address this challenge, primarily falling into two categories: (a) randomized planners and (b) trajectory optimization utilizing simplified models and numerical optimization. Randomized planners such as RRT and PRM excel in exploring the state space, while trajectory optimization methods, like direct collocation, are adept at discovering optimal trajectories within well-defined spaces. We aim to achieve effective and efficient kinodynamic planning and exploration by integrating evolutionary algorithms (Quality-Diversity) with trajectory optimization. Our preliminary experiments showcase that using the proposed methodology we get the best from both worlds on two simulated experiments. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Trajectories

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Spectrum Serenade: OPNET Expedition Unveiling WLAN 802.11e Performance Evaluation 9th

Spectrum Serenade: OPNET Expedition Unveiling WLAN 802.11e P...

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9th Future Technologies Conference, FTC 2024

作者： Ali, Ali Mohd Owida, Hamza Abu Al-Qerem, Ahmad Department of Electrical Engineering College of Engineering Technology Al-Balqa Applied University Amman Jordan Medical Engineering Department Faculty of Engineering Al-Ahliyya Amman University Amman Jordan Department of Computer Science Faculty of Information Technology Zarqa University Zarqa13132 Jordan

ISBN: (纸本)9783031731242

Interest in Wireless LAN 802.11 is climbing owing to its cost-effectiveness and simplicity of installation, yet its restricted Quality of Service (QoS) capabilities present obstacles for real-time apps. This endeavour aims to evaluate QoS characteristics and boosts by devising scenarios within the OPNET simulator. Through contrasting Wireless LAN 802.11e with the standard 802.11, our goal is to measure how advancements in allocated channel access can elevate performance levels. Findings show that the improved standard provides a more effective service mechanism, giving priority to traffic that is highly important while keeping latency within acceptable bounds, hence enhancing QoS support for contemporary applications. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Quality of service

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Virtuous, multi-level integration of research and education within the project "european Digital Dynamic Mapping" (EDDY) Excellent applied research as an enabler for excellent education in the context of Project-Based Learning in Higher Education Institutions

Virtuous, multi-level integration of research and education ...

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2023 Designing Futures: Zukunfte gestalten, INFORMATIK 2023 - 2023 Designing Futures: Shaping the Future, INFORMATIK 2023

作者： Rettig, Rasmus Weltz, Maximilian Hamburg University of Applied Sciences Faculty of Engineering and Computer Science Department of Information and Electrical Engineering Berliner Tor 7 Hamburg20099 Germany

ISBN: (纸本)9783885797319

Project-and Problem-Based Learning has been subject to research and implementation in engineering and computer science curricula for about the last 20 years. However, the projects and problems focused on in education have hardly been questioned for their relevance and effect. Considering current global and financial challenges, the authors propose to revise project-and problem-based approaches in education in the context of relevance and excellence in applied research. Besides coping with current cost-cutting, existing control mechanisms could ensure both relevance and excellence. Example projects based on more than 10 years of hands-on experience in Project-Based Learning in the context of externally funded research, for various classroom situations are included. © 2023 Gesellschaft fur Informatik (GI). All rights reserved.

关键词： Autonomous vehicles

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Some converse Lyapunov-like results for strong forward invariance 63

Some converse Lyapunov-like results for strong forward invar...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Goebel, Rafal Sanfelice, Ricardo G. Teel, Andrew R. Loyola University Chicago Department of Mathematics & Statistics ChicagoIL60660 United States University of California Electrical and Computer Engineering Department Santa CruzCA95064 United States University of California Electrical and Computer Engineering Department Santa BarbaraCA93106-9560 United States

ISBN: (纸本)9798350316339

In the setting of a differential inclusion, strong forward invariance of a closed or a compact set is studied. Main results are novel necessary Lyapunov-like conditions for this property. They involve time-varying and autonomous Lyapunov/barrier functions that are smooth everywhere or at least outside the invariant set and are decreasing or at least not increasing faster than exponentially. © 2024 IEEE.

关键词： Lyapunov functions

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Open Path Spectroscopic Detection of Hydroxyl Radical: A Comparison between Broadband Cavity-Enhanced Absorption Spectroscopy (BBCEAS) and BBCEAS Coupled with a Fabry-Pérot Interferometer (BBCEAS-FP)

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Analytical Chemistry 2025年第22期97卷 11831-11838页

作者： Flowerday, Callum E. Thalman, Ryan Asplund, Matthew C. Badstubner, Samuel A. Cook, Adam K. Lundrigan, Philip Hansen, Jaron C. Department of Chemistry and Biochemistry Brigham Young University ProvoUT84602 United States Department of Natural Science and Mathematics Snow College EphraimUT84627 United States Department of Electrical and Computer Engineering Brigham Young University ProvoUT84606 United States

Hydroxyl radical (OH) is the primary atmospheric oxidant, but it is challenging to measure due to its short half-life under atmospheric conditions (approximately 1 s) and low ambient concentrations (approximately 106 molecules/cm3). While several measurement techniques exist, including laser-induced fluorescence with fluorescence assay by gas expansion (LIF-FAGE), differential optical absorption spectroscopy, and chemical ionization mass spectrometry (CIMS), often only LIF-FAGE and CIMS are considered available for field measurements. This study compares the performance of two instruments: a broadband cavity-enhanced absorption spectroscopy (BBCEAS) coupled with a CCD and a BBCEAS coupled with a Fabry-Pérot interferometer (BBCEAS-FP). The semiportable BBCEAS instrument benefits from spectroscopic specificity, avoiding interference from other species, and features inherent calibration, eliminating calibration errors. The effects of aerosols and turbulence on performance were also evaluated. A low-loss optic was used to measure the optical cavity reflectivity in an open-path configuration, and a butane flame served as the OH source during testing. The BBCEAS instrument achieved an extrapolated 1-h detection limit (1σ) of 1.5 × 107 molecules/cm3 for ambient-temperature OH. Applying a Gauss-Hermite filter reduced noise in the extinction spectrum by 2.66 times, lowering the extrapolated detection limit to 4.6 × 106 molecules/cm3. The BBCEAS-FP, a more cost-effective and portable instrument, demonstrated a comparable extrapolated 1-h (1σ) detection limit of 1.5 × 107 molecules/cm3 © 2025 The Authors. Published by American Chemical Society.

关键词： Fabry-Perot interferometers

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Identification of Sukun (Artocarpus altilis) and Kluwih (Artocarpus camansi) Leaves using Transfer Learning 9

Identification of Sukun (Artocarpus altilis) and Kluwih (Art...

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9th IEEE International Conference on Computing, engineering and Design, ICCED 2023

作者： Pratondo, Agus Ismail, Nanang Sujana, Aprianti Putri Novianty, Astri Telkom University School of Applied Sciences Department of Multimedia Engineering Bandung Indonesia UIN Sunan Gunung Djati Faculty of Engineering Dept. of Electrical Engineering Bandung Indonesia Telkom University School of Electrical Engineering Department of Computer Engineering Bandung Indonesia

ISBN: (纸本)9798350370126

It's critical to correctly identify Sukun (Artocarpus altilis) and Kluwih (Artocarpus camansi) leaves to avoid misunderstandings about their traditional medical use and to prevent fraud in the sale of plant seedlings. This study uses the well-known deep-learning algorithms VGG16 and Inception v3 to identify Sukun and Kluwih leaves. A varied collection of leaf photos in a range of sizes was gathered and used in the experiment. The results of the experiment demonstrate how profoundly useful deep learning is at identifying leaves. A remarkable accuracy rate of 99.52 percent was demonstrated by the VGG16 and Inception v3 models. The models' dependability for practical, real-world applications is highlighted by this level of accuracy. Due to the excellent accuracy attained by both models, it can be concluded that they are suitable for practical applications such as preventing the improper use of leaves and preventing potential fraud in the trading of plant saplings. The work underlines the viability of adopting these models to address relevant societal concerns while showcasing the promise of deep learning approaches in botanical classification. © 2023 IEEE.

关键词： Learning algorithms

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Sliding mode control rotor flux MRAS based speed sensorless induction motor traction drive control for electric vehicles

AIMS Electronics and Electrical Engineering

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AIMS Electronics and electrical engineering 2023年第4期7卷 354-379页

作者： Rind, Saqib J. Javed, Saba Rehman, Yawar Jamil, Mohsin Department of Automotive & Marine Engineering NED University of Engineering & Technology University Road Karachi Pakistan Department of Electronics Engineering NED University of Engineering & Technology University Road Karachi Pakistan Department of Electrical & Computer Engineering Faculty of Engineering and Applied Science Memorial University of Newfoundland 240 Prince Phillip Drive St. John'sNLA1B 3X5 Canada

Climate change has highlighted a need to transition to more sustainable forms of transportation. Electric vehicles (EVs) and hybrid electric vehicles (HEVs) offer a promising alternative to conventional gasoline powered vehicles. However, advancements in power electronics and advanced control systems have made the implementation of high performance traction drives for EVs and HEVs easy. In this paper, a novel sliding mode control model reference adaptive system (SMC-MRAS) speed estimator in traction drive control application is presented. However, due to the unpredictable operational uncertainties of the machine parameters and unmodelled non-linear dynamics, the proportional-integral (PI)-MRAS may not produce a satisfactory performance. The Proposed estimator eliminates the PI controller employed in the conventional MRAS. This method utilizes two loops and generates two different error signals from the rotor flux and motor torques. The stability and dynamics of the SMC law are obtained through the Lyapunov theory. The potential of the proposed SMC-MRAS methodology is simulated and experimentally validated for an electric vehicle application. Matlab-Simulink environment is developed and proposed scheme is employed on indirect vector control method. However, for the experimental validation, the dSPACE 4011 R & D controller board was utilized. Furthermore, the SMC-MRAS performance is differentiated with PIMRAS for speed regulation performance, tracking and estimation error, as well as the fast minimization of the error signal. The results of the proposed scheme illustrate the enhanced speed estimation, load disturbance rejection ability and fast error dynamics. © 2023 the Author(s).

关键词： Sliding mode control

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