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Systematic analysis of artificial intelligence in the era of industry 4.0

Journal of Management Analytics 2023年第1期10卷 89-108页

作者： Weiru Chen Wu He Jiayue Shen Xin Tian Xianping Wang Department of Information Technology&Decision Science Old Dominion UniversityNorfolkVAUSA Department of Computer&Information Science Arkansas Tech UniversityRussellvilleARUSA Department of Engineering Technology SUNY Polytechnic InstituteUticaNYUSA College of Computing and Software Engineering Kennesaw State UniversityMariettaGAUSA Computer Information Technology&Graphics Department Purdue University NorthwestHammondINUSA

Artificial Intelligence has been playing a profound role in the global economy,social progress,and people’s daily *** the increasing capabilities and accuracy of AI,the application of AI will have more impacts on manufacturing and service areas in the era of industry *** study conducts a systematic literature review to study the state-of-the-art on AI in industry *** paper describes the development of industries and the evolution of *** paper also identifies that the development and application of AI will bring not only opportunities but also challenges to industry *** findings provide a valuable reference for researchers and practitioners through a multi-angle systematic analysis of *** the era of industry 4.0,AI system will become an innovative and revolutionary assistance to the whole industry.

关键词： Industry 4.0 AI deep learning neural network supervised learning unsupervised learning reinforced learning

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Text-dependent Speaker Verification Challenge 2024: Exploring Shared and User-defined Passphrases

Text-dependent Speaker Verification Challenge 2024: Explorin...

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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Zeinali, Hossein Lee, Kong Aik Alam, Jahangir Burget, Lukáš Department of Computer Engineering Amirkabir University of Technology Tehran Iran Department of Electrical and Electronic Engineering The Hong Kong Polytechnic University Kowloon Hong Kong Department of Computer Graphics and Multimedia Brno University of Technology Brno Czech Republic Computer Research Institute of Montreal Montreal Canada

ISBN: (纸本)9798350368741

In contrast to text-independent speaker verification, which has received significant attention from researchers and has many competitions dedicated to it, text-dependent speaker verification (TdSV) has been less explored recently. The TdSV Challenge 2024 was organized to analyze and explore novel methods for this type of speaker verification and aims to motivate participants to develop new approaches to TdSV, conduct comprehensive analyses, and investigate advanced techniques such as self-supervised learning. This challenge builds on the achievements of the short-duration speaker verification (SdSV) Challenges held in 2020 and 2021 and focuses specifically on TdSV in two distinct scenarios. The first scenario involves conventional TdSV, while the second focuses on speaker enrollment using user-defined passphrases. This paper provides a detailed description of both tasks, introduces the evaluation rules, and presents a comprehensive analysis of the results obtained from this challenge. © 2025 IEEE.

关键词： DeepMine dataset TdSV Challenge Text-dependent Speaker Verification User-defined passphrase

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Engineering technology Capstone: Exploring the Current State

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Journal of Engineering technology 2024年第2期41卷 34-40页

作者： Webster, Rustin Turner, Matthew Purdue Polytechnic Institute School of Engineering Technology Purdue University mechanical engineering and computer graphics technology United States Purdue University’s School of Engineering Technology United States

The characteristics that make up the general identity of engineering technology (ET) degree programs and their graduates are well known;however, the explicit characteristics of ET capstone nationally is unknown. In other words, there are multiple gaps in the general ET capstone body of knowledge that need to be filled in order to fully understand and describe the current state. The purpose of this short paper is to provide a synopsis of 1) the current known identity of ET education, 2) existing ET capstone research, and 3) ET capstone knowledge gaps (i.e., future research areas). Internal preliminary findings comparing traditional engineering degree programs and ET capstone experiences include differences in duration, project types and sources, budgets, assessments, etc. Additionally, findings show that ET degree programs were not included in multiple large-scale national capstone-based research studies investigating current and longitudinal practices, design teaching taxonomies, and graduate career readiness. Deeper insights into ET capstone practices are needed and can help empower stakeholders (e.g., faculty, administrators, researchers, etc.) to articulate ET’s value more effectively within the broader landscape of science, technology, engineering, and mathematics (STEM), and hopefully spark interest in new research collaborations within the general capstone community in order to address identified knowledge gaps. A better understood and possibly improved ET capstone experience could help better prepare graduates to transition into the workforce by minimizing the time needed to acquire new knowledge, skills, and abilities after being hired. © 2024, American Society for Engineering Education. All rights reserved.

关键词： Budget control

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Particle Swarm Optimization versus Simulated Annealing for 5G and 6G Wireless Networks: A Comparative Study 27

Particle Swarm Optimization versus Simulated Annealing for 5...

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27th International Symposium on Wireless Personal Multimedia Communications, WPMC 2024

作者： Agrawal, Atul Baniya, Pashupati Pandey, Shraiyash Bhushan, Bharat Rakesh, Nitin ITS Engineering College Department of Computer Science and Engineering Greater Noida India IEC College of Engineering and Technology Department of Computer Science and Engineering Greater Noida India Polytechnic Institute Purdue University Department of Computer Science and Engineering West LafayetteIN United States Sharda University Department of Computer Science and Engineering Greater Noida India Pune India

ISBN: (纸本)9798350392319

The evolution from 5G to 6G represents a significant leap in wireless communication technology, moving beyond enhanced mobile broadband, low latency, and increased connectivity offered by 5G. The evolution of 5G is expected to create a whole new way to connect and communicate around the world. In this paper, we compare the performance of Particle Swarm Optimization PSO and Simulated Annealing SA in optimizing network density and network interference in 5G and6G wireless networks, focusing on the technological advancements and challenges associated with the transition. PSO is a more effective optimization algorithm than SA across multiple dimensions of network performance, particularly in the challenging context of 6G networks, where the demands for optimization are greater. These results underscore PSO's potential to significantly enhance network performance in the complex, dense environments of next-generation wireless systems. It is crucial to focus on sustainable and energy-efficient solutions to support the anticipated massive increase in connected devices and data traffic, ensuring that the technological advances are matched with responsible development practices. © 2024 IEEE.

关键词： 5G mobile communication systems

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Text-dependent Speaker Verification Challenge 2024: Exploring Shared and User-defined Passphrases

Text-dependent Speaker Verification Challenge 2024: Explorin...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Hossein Zeinali Kong Aik Lee Jahangir Alam Lukáš Burget Department of Computer Engineering Amirkabir University of Technology Tehran Iran Department of Electrical and Electronic Engineering The Hong Kong Polytechnic University Kowloon Hong Kong Computer Research Institute of Montreal Montreal Canada Department of Computer Graphics and Multimedia Brno University of Technology Brno Czech Republic

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

关键词： Self-supervised learning Organizations Signal processing Acoustics Speaker recognition Speech processing

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RoboGuardZ: A Scalable Zero-Shot Framework for Detecting Zero-Day Malware in Robots

RoboGuardZ: A Scalable Zero-Shot Framework for Detecting Zer...

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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

作者： Upinder Kaur Z. Berkay Celik Richard M. Voyles Agricultural and Biological Engineering Department Purdue University West Lafayette Indiana USA Department of Computer Science Purdue University West Lafayette Indiana USA School of Engineering Technology Purdue Polytechnic Institute Purdue University West Lafayette Indiana USA

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

The ubiquitous deployment of robots across diverse domains, from industrial automation to personal care, underscores their critical role in modern society. However, this growing dependence has also revealed security vulnerabilities. An attack vector involves the deployment of malicious software (malware) on robots, which can cause harm to robots themselves, users, and even the surrounding environment. Machine learning approaches, particularly supervised ones, have shown promise in malware detection by building intricate models to identify known malicious code patterns. However, these methods are inherently limited in detecting unseen or zero-day malware variants as they require regularly updated massive datasets that might be unavailable to robots. To address this challenge, we introduce RoboGuardZ, a novel malware detection framework based on zero-shot learning for robots. This approach allows RoboGuardZ to identify unseen malware by establishing relationships between known malicious code and benign behaviors, allowing detection even before the code executes on the robot. To ensure practical deployment in resource-constrained robotic hardware, we employ a unique parallel structured pruning and quantization strategy that compresses the RoboGuardZ detection model by 37.4% while maintaining its accuracy. This strategy reduces the size of the model and computational demands, making it suitable for real-world robotic systems. We evaluated RoboGuardZ on a recent dataset containing real-world binary executables from multi-sensor autonomous car controllers. The framework was deployed on two popular robot embedded hardware platforms. Our results demonstrate an average detection accuracy of 94.25% and a low false negative rate of 5.8% with a minimal latency of 20 ms, which demonstrates its effectiveness and practicality.

关键词： Accuracy Quantization (signal) Service robots Computational modeling Zero shot learning Malware Hardware Vectors Security Robots

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RoboCop: A Robust Zero-Day Cyber-Physical Attack Detection Framework for Robots

RoboCop: A Robust Zero-Day Cyber-Physical Attack Detection F...

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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

Zero-day vulnerabilities pose a significant challenge to robot cyber-physical systems (CPS). Attackers can exploit software vulnerabilities in widely-used robotics software, such as the Robot Operating System (ROS), to manipulate robot behavior, compromising both safety and operational effectiveness. The hidden nature of these vulnerabilities requires strong defense mechanisms to guarantee the safety and dependability of robotic systems. In this paper, we introduce RoboCop, a cyber-physical attack detection framework designed to protect robots from zero-day threats. RoboCop leverages static software features in the pre-execution analysis along with runtime state monitoring to identify attack patterns and deviations that signal attacks, thus ensuring the robot’s operational integrity. We evaluated RoboCop on the F1-tenth autonomous car platform. It achieves a 93% detection accuracy against a variety of zero-day attacks targeting sensors, actuators, and controller logic. Importantly, in on-robot deployments, it identifies attacks in less than 7 seconds with a 12% computational overhead.

关键词： Runtime Operating systems Robot sensing systems Software Safety Logic Robots Monitoring Intelligent sensors Intelligent robots

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Wide-range Angle-sensitive Plasmonic Color Printing with a Lossy Resonator

Wide-range Angle-sensitive Plasmonic Color Printing with a L...

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CLEO: Applications and technology, CLEO:A and T 2023 - Part of Conference on Lasers and Electro-Optics 2023

作者： Chowdhury, Sarah N. Simon, Jeffrey Nowak, Michal P. Prokopeva, Ludmila J. Pagadala, Karthik Fruhling, Colton Nyga, Piotr Bravo, Esteban Garcia Kildishev, Alexander V. Shalaev, Vladimir M. Boltasseva, Alexandra School of Electrical and Computer Engineering Birck Nanotechnology Center Purdue University 1205 W State St West LafayetteIN47906 United States Institute of Optoelectronics Military University of Technology 2 Kaliskiego St Warsaw00-908 Poland Institute of Physics Faculty of Physics Astronomy and Informatics Nicolaus Copernicus University Toruń87-100 Poland Department of Computer Graphics Technology Purdue University 401 N. Grant St Knoy Hall West LafayetteIN47907 United States

ISBN: (纸本)9781957171258

We demonstrate a wide gamut of color generation by large-scale, lithography-free, and environment-friendly plasmonic structures with a resolution of 100 µm for macroscopic color printing by utilizing femtosecond laser photomodification of multi-functional optical elements. CLEO 2023 © Optica Publishing Group 2023, © 2023 The Author(s)

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Wide-range Angle-sensitive Plasmonic Color Printing with a Lossy Resonator

Wide-range Angle-sensitive Plasmonic Color Printing with a L...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Chowdhury, Sarah N. Simon, Jeffrey Nowak, Michal P. Prokopeva, Ludmila J. Pagadala, Karthik Fruhling, Colton Nyga, Piotr Bravo, Esteban Garcia Kildishev, Alexander V. Shalaev, Vladimir M. School of Electrical and Computer Engineering Birck Nanotechnology Center Purdue University 1205 W State St West LafayetteIN47906 United States Institute of Optoelectronics Military University of Technology 2 Kaliskiego St Warsaw00-908 Poland Institute of Physics Faculty of Physics Astronomy and Informatics Nicolaus Copernicus University Toruń87-100 Poland Department of Computer Graphics Technology Purdue University 401 N. Grant St Knoy Hall West LafayetteIN47907 United States

We demonstrate a wide gamut of color generation by large-scale, lithography-free, and environment-friendly plasmonic structures with a resolution of 100 urn for macroscopic color printing by utilizing femtosecond lase... 详细信息

ISBN: (纸本)9781957171258

关键词： Color

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Speculative Vulnerability: Uncovering the Temporalities of Vulnerability in People s Experiences of the Pandemic

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Proceedings of the ACM on Human-computer Interaction 2022年第CSCW2期6卷 1-27页

作者： Seberger, John S. Obi, Ike Loukil, Mariem Liao, William Wild, David J. Patil, Sameer Department of Information Science College of Computing and Informatics Drexel University 3675 Market Street PhiladelphiaPA19104 United States Department of Computer Graphics Technology Purdue Polytechnic Institute Purdue University 401 N. Grant St. West LafayetteIN47907 United States Mediterranean Institute of Technology Les Jardins du Lac 2 Tunis1053 Tunisia Department of Informatics Luddy School of Informatics Computing and Engineering Indiana University Bloomington 901 E. Tenth Street BloomingtonIN48104 United States School of Computing University of Utah 50 Central Campus Dr. Salt Lake CityUT84112 United States

Pandemic-tracking apps may form a future infrastructure for public health surveillance. Yet, there has been relatively little exploration of the potential societal implications of such an infrastructure. In semi-structured interviews with 23 participants from India, the Middle East and North Africa (MENA), and the United States, we discussed attitudes and preferences regarding the deployment of apps that support contact tracing to contain the spread of COVID-19. Through interpretive analysis, we examined the relationship between persistent discomfort and vulnerability when using such apps. Such an examination yielded three temporal forms of vulnerability: real, anticipatory, and speculative. By identifying and defining the temporalities of vulnerability through an analysis of people's pandemic-related thoughts and experiences, we develop the overlapping discourses of humanistic infrastructure studies and infrastructural speculation. In doing so, we explore the concept of vulnerability itself and present implications for the study of vulnerability in Human-computer Interaction (HCI) and for the oversight of app-based public health surveillance. © 2022 Owner/Author.

关键词： Public health

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