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arXiv 2022年

作者： Solorio, Jose A. Garcia, Jose M. Vhaduri, Sudip Department of Engineering Technology Purdue Polytechnic Institute West LafayetteIN United States Department of Computer and Information Technology Purdue Polytechnic Institute West LafayetteIN United States

Nowadays, the applications of hydraulic systems are present in a wide variety of devices in both industrial and everyday environments. The implementation and usage of hydraulic systems have been well documented;however, today, this still faces a challenge, the integration of tools that allow more accurate information about the functioning and operation of these systems for proactive decision-making. In industrial applications, many sensors and methods exist to measure and determine the status of process variables (e.g., flow, pressure, force). Nevertheless, little has been done to have systems that can provide users with device-health information related to hydraulic devices integrated into the machinery. Implementing artificial intelligence (AI) technologies and machine learning (ML) models in hydraulic system components has been identified as a solution to the challenge many industries currently face: optimizing processes and carrying them out more safely and efficiently. This paper presents a solution for the characterization and estimation of anomalies in one of the most versatile and used devices in hydraulic systems, cylinders. AI and ML models were implemented to determine the current operating status of these hydraulic components and whether they are working correctly or if a failure mode or abnormal condition is present. © 2022, CC BY.

关键词： Machine learning

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Automation 5.0: The Key to Systems Intelligence and Industry 5.0

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IEEE/CAA Journal of Automatica Sinica 2024年第8期11卷 1723-1727页

作者： Ljubo Vlacic Hailong Huang Mariagrazia Dotoli Yutong Wang Petros A.Ioannou Lili Fan Xingxia Wang Raffaele Carli Chen Lv Lingxi Li Xiaoxiang Na Qing-Long Han Fei-Yue Wang Institute of Intelligent and Integrated Systems and the School of Engineering and Built Environment Griffith UniversityNathanQLD 4111Australia Department of Aeronautical and Aviation Engineering The Hong Kong Polytechnic UniversityHong KongChina Department of Electrical and Information Engineering Polytechnic of Bari70126 BariItaly State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190and also with the Qingdao Academy of Intelligent IndustriesQingdao 266114China Department of Electrical Engineering-Systems University of Southern CaliforniaLos AngelesCA 90007 USA School of Automation Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049 Beijing Huairou Academy of Parallel Sensing Beijing 101499China School of Mechanical and Aerospace Engineering Nanyang Technological UniversitySingapore 639798Singapore Department of Electrical and Computer Engineering Purdue School of Engineering and TechnologyIndiana University-Purdue University IndianapolisIndianapolisIN 46202 USA Department of Engineering University of CambridgeCB21TN CambridgeU.K. School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourne VIC 3122Australia State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China Dazhou Artificial Intelligence Institute Dazhouand the Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao 999078China

AUTOMATION has come a long way since the early days of mechanization,i.e.,the process of working exclusively by hand or using animals to work with *** rise of steam engines and water wheels represented the first generation of industry,which is now called Industry Citation:***,***,***,***,***,***,***,***,***,***,***,Q.-***,and F.-***,“Automation 5.0:The key to systems intelligence and Industry 5.0,”IEEE/CAA ***,vol.11,no.8,pp.1723-1727,Aug.2024.

关键词： Automation machinery intelligence

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UAV-based Digital Field Phenotyping for Crop Nitrogen Estimation using RGB Imagery

UAV-based Digital Field Phenotyping for Crop Nitrogen Estima...

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2023 IEEE IAS Global Conference on Emerging Technologies, GlobConET 2023

作者： Patil, Suchitra M Choudhary, Sunita Kholová, Jana Anbazhagan, Krithika Parnandi, Yogesh Gattu, Priyanka Mallayee, Srikanth Ksvv, Prasad Kumar, V Padma Rajalakshmi, P. Chandramouli, Magesh Adinarayana, J. Indian Institute of Technology Bombay Powai Centre of Studies in Resources Engineering Maharashtra Mumbai400076 India Crop Physiology and Modeling Telangana Patancheru502 324 India Czech University of Life Sciences Prague Department of Information Technologies Prague165 00 Czech Republic Indian Institute of Technology Kandi Telangana Hyderabad502285 India International Livestock Research Institute Telangana Patancheru502324 India Purdue University NW Computer Graphics Technology HammondIN46323 United States

ISBN: (纸本)9798350331790

Nitrogen (N) is one of the essential nutrients required for healthy crop growth. Field phenotyping for nitrogen stress symptoms is laborious and time-consuming, that way, it is a major bottleneck in nutrition-inclusive agricultural research. Recent advancements in sensors and image processing facilitate color-based quantification of crop greenness from high-resolution RGB images. In this paper, we present unmanned aerial vehicle (UAV)-based digital field phenotyping for the estimation of crop nitrogen content. For this, we conducted a field experiment during the post-rainy season of 2021 at International Crops Research institute for Semi-Arid Tropics (ICRISAT), Hyderabad, India with long-stature cereal model crop, sorghum (Sorghum bicolor L.) cultivated under three different regimes varying in moisture and soil nitrogen content. A high-resolution RGB sensor (XenmuseX5S) mounted on DJI Matric 210 quadcopter was used for capturing the spatiotemporal imagery. Five different RGB spectrum vegetation indices indicating crop greenness were correlated with ground truth values of crop N content using simple linear regression and stepwise backward regression. With a prediction potential of R2=0.65 and MAE=0.27 for an independent dataset, we present a stepwise backward linear regression model as a promising approach for real-time estimation of the N status of sorghum crop. © 2023 IEEE.

关键词： Crops

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JARVIS-Leaderboard:a large scale benchmark of materials design methods

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npj Computational Materials 2024年第1期10卷 2280-2296页

作者： Kamal Choudhary Daniel Wines Kangming Li Kevin F.Garrity Vishu Gupta Aldo H.Romero Jaron T.Krogel Kayahan Saritas Addis Fuhr Panchapakesan Ganesh Paul R.C.Kent Keqiang Yan Yuchao Lin Shuiwang Ji Ben Blaiszik Patrick Reiser Pascal Friederich Ankit Agrawal Pratyush Tiwary Eric Beyerle Peter Minch Trevor David Rhone Ichiro Takeuchi Robert B.Wexler Arun Mannodi-Kanakkithodi Elif Ertekin Avanish Mishra Nithin Mathew Mitchell Wood Andrew Dale Rohskopf Jason Hattrick-Simpers Shih-Han Wang Luke E.K.Achenie Hongliang Xin Maureen Williams Adam J.Biacchi Francesca Tavazza Material Measurement Laboratory National Institute of Standards and TechnologyGaithersburgMD20899USA Department of Materials Science and Engineering University of Toronto27 King’s College CirTorontoONCanada Department of Electrical and Computer Engineering Northwestern UniversityEvanstonIL 60208USA Lewis-Sigler Institute for Integrative Genomics Princeton UniversityPrincetonNJ 08544USA Ludwig Institute for Cancer Research Princeton UniversityPrincetonNJ 08544USA Department of Physics and Astronomy West Virginia UniversityMorgantownWV 26506USA Materials Science and Technology Division Oak Ridge National LaboratoryOak RidgeTN 37831USA Center for Nanophase Materials Science Oak Ridge National LaboratoryOak RidgeTN 37831USA Computational Sciences and Engineering Division Oak Ridge National LaboratoryOak RidgeTN 37831USA Department of Computer Science and Engineering Texas A&M UniversityCollege StationTX 77843USA Globus University of ChicagoChicagoIL 60637USA Data Science and Learning Division Argonne National LabLemontIL 60439USA Institute of Nanotechnology Karlsruhe Institute of TechnologyKaiserstraße 1276131 KarlsruheGermany Institute of Theoretical Informatics Karlsruhe Institute of TechnologyKaiserstraße 1276131 KarlsruheGermany Department of Chemistry and Biochemistry and Institute for Physical Science and Technology University of MarylandCollege ParkMD 20742USA Department of Physics Applied Physics and AstronomyRensselaer Polytechnic InstituteTroyNY12180USA Department of Materials Science and Engineering University of MarylandCollege ParkMD20742USA Department of Chemistry and Institute of Materials Science and Engineering Washington University in St.LouisSt.LouisMO63130USA School of Materials Engineering Purdue UniversityWest LafayetteIN47907USA Department of Mechanical Science and Engineering University of Illinois Urbana-ChampaignUrbanaIllinois 61801USA Materials Research Laboratory University of Illinois Urbana-ChampaignUrbanaIL 61801USA Theore

Lack of rigorous reproducibility and validation are significant hurdles for scientific development across many *** science,in particular,encompasses a variety of experimental and theoretical approaches that require careful *** efforts have been developed previously to mitigate these ***,a comprehensive comparison and benchmarking on an integrated platform with multiple data modalities with perfect and defect materials data is still *** work introduces JARVIS-Leaderboard,an open-source and community-driven platform that facilitates benchmarking and enhances *** platform allows users to set up benchmarks with customtasks and enables contributions in the form of dataset,code,and meta-data *** cover the following materials design categories:Artificial Intelligence(AI),Electronic Structure(ES).

关键词： rigorous perfect enable

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Design activity worksheets for developing research questions

Design activity worksheets for developing research questions

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2020 ASEE Virtual Annual Conference, ASEE 2020

作者： Byrd, Vetria Camba, Jorge D. Purdue University-Main Campus College of Engineering West Lafayette United States Department of Computer Graphics Technology Polytechnic Institute Purdue University West LafayetteIN United States Department of Computer Graphics Technology Purdue University West LafayetteIN United States

Developing good research questions is a skill that develops over time and is often difficult for students. More often than not, it is up to the student to determine what to research. Where do I start? What do I look for? Is this a good research question? These are just a few of the questions students ask and should ask in the early stages of their research process. This work describes a progressive plan for developing research questions using a series of four design activity worksheets to guide students through the cognitive and metacognitive processes of choosing topics, asking questions, identifying an appropriate problem and locating adequate data sources. The worksheets are introduced in a linear manner and completed in order. This progressive path is intended to provide a logical and methodical approach for developing research questions. However, each worksheet can be completed independently. The worksheets can also be used as a pedagogical approach to introduce research methods into the classroom. The design activity worksheets have been used in multiple venues: undergraduate and graduate data visualization courses, workshops and more recently, a graduate seminar designed to help students identify their thesis topics in partial fulfillment of their graduate degree. In this work, we describe the development and characteristics of the worksheets and report some preliminary results of a study designed to assess their perceived impact and usefulness from a student's perspective. © American Society for Engineering Education 2020.

关键词： Students

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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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Conference on Lasers and Electro-Optics (CLEO)

作者： Sarah N. Chowdhury Jeffrey Simon Michał P. Nowak Ludmila J. Prokopeva Karthik Pagadala Colton Fruhling Piotr Nyga Esteban Garcia Bravo Alexander V. Kildishev Vladimir M. Shalaev Alexandra Boltasseva School of Electrical and Computer Engineering and Birck Nanotechnology Center Purdue University West Lafayette IN USA Institute of Optoelectronics Military University of Technology Warsaw Poland Institute of Physics Faculty of Physics Astronomy and Informatics Nicolaus Copernicus University Toruń Poland Department of Computer Graphics Technology Purdue University West Lafayette IN USA

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 ... 详细信息

ISBN: (纸本)9781957171258

关键词： Color Effective medium theory Femtosecond lasers Interference Optical elements Polarization

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BFTRAND: Low-Latency Random Number Provider for BFT Smart Contracts

BFTRAND: Low-Latency Random Number Provider for BFT Smart Co...

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International Conference on Dependable Systems and Networks (DSN)

作者： Jinghui Liao Borui Gong Wenhai Sun Fengwei Zhang Zhenyu Ning Man Ho Au Weisong Shi Research Institute of Trustworthy Autonomous Systems Southern University of Science and Technology China Department of Computer Science and Engineering Southern University of Science and Technology China Computer Science Wayne State University USA Neo Foundation Department of Computing The Hong Kong Polytechnic University China Computer and Information Technology Purdue University USA Hunan University China Computer and Information Sciences University of Delaware USA

ISBN: (数字)9798350341058

ISBN: (纸本)9798350341065

Random numbers play a crucial role in decen-tralized applications (dApps) like decentralized finance (DeFi) and non-fungible tokens (NFTs). However, their generation faces challenges due to blolckchain's deterministic and decentralized nature, risking smart contract security and ecosystem stability. Prior solutions, including Oracles, employing commit-execute schemes, suffer from higher transaction fees, extended processing times, and increased on-chain storage, compromising efficiency. This paper proposes a novel random number provider (RNP) protocol for smart contracts, eliminating dependencies on traditional commit-execute approaches. Furthermore, we systematically identify potential random number-related attacks on smart contracts, particularly Post-reveal Undo Attacks (PUAs), where attackers may reverse contract operations when randomness is unfavorable, and discuss the security requirements. Our protocol addresses these attacks by (1) incorporating distributed random beacons (D RBs) with consensus processes, bridging the semantic gap between DRB and consensus, and (2) thoroughly analyzing and classifying four types of PUA and offering robust mitigations, alongside presenting a security proof. Our experiments show the protocol significantly enhances response times and security for random number queries in smart contracts, slashing request fees by at least 89 % and reducing on-chain data by 76.4% versus current methods. This work advances the integration of DRB protocols and consensus mechanisms, securing and optimizing random number applications in dApps, thus fostering the creation of more dependable, robust systems.

关键词： Protocols Prevention and mitigation Smart contracts Finance Decentralized applications Stability analysis Security

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

Particle Swarm Optimization versus Simulated Annealing for 5...

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International Symposium on Wireless Personal Multimedia Communications (WPMC)

作者： Atul Agrawal Pashupati Baniya Shraiyash Pandey Bharat Bhushan Nitin Rakesh Department of Computer Science and Engineering ITS Engineering College Greater Noida India Department of Computer Science and Engineering IEC College of Engineering and Technology Greater Noida India Department of Computer Science and Engineering Polytechnic Institute Purdue University West Lafayette Indiana United States Department of Computer Science and Engineering Sharda University Greater Noida India Symbiosis Institute of Technology Nagpur Campus Symbiosis International (Deemed University) Pune India

ISBN: (数字)9798350392319

ISBN: (纸本)9798350356137

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.

关键词： 6G mobile communication Performance evaluation Wireless networks Simulated annealing Interference Energy efficiency Security Particle swarm optimization Terahertz communications Radio spectrum management

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Measuring and Modeling the Influences of Street Tree Species on Microclimate and Pedestrian Comfort 7

Measuring and Modeling the Influences of Street Tree Species...

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2022 7th International Conference on Information Science, computer technology and Transportation, ISCTT 2022

作者： Li, Yingnan Song, Zipeng Ding, Lu Liu, Tao Zhou, Zhengzhong Cheng, Kai Department of Environmental Design School of Arts Jiangsu University Zhenjiang212013 China Department of Environmental Planning Institute Seoul National University Seoul08826 Korea Republic of Department of Computer Graphics Technology Purdue University West Lafayette47907 United States Institute of Urban and Rural Mining Changzhou University Changzhou213164 China Zhenjiang Puyuan Ecological Technology Co. Ltd. Zhenjiang212000 China

ISBN: (纸本)9783800760565

Street trees are important components of urban green spaces, and their ecosystem services improve the urban thermal environment. The shade from the tree cover can create a more comfortable pedestrian space in a city with hot summer. In addition, urban microclimate analyses are becoming more and more to address the planning decision process to create liveable and healthy public spaces. However, the specific relationship between street tree species and microclimate has not been sufficiently studied in diverse urban settings. Therefore, this study took two typical "three boards and four belts" type streets in Nanjing as a study site. The research objective is to investigate how the street tree species affect microclimate and pedestrian comfort. We analyzed the microclimate variations by on-site meteorological measurement. Furthermore, the ENVI-met model was used to analyze the optimal strategies for improving the thermal environment. The human thermal comfort was evaluated by Universal Thermal Climate Index (UTCI), which can be calculated in the model. The results revealed: (1) the microclimate in the streets planted with deciduous trees can create a better thermal environment than conifers. (2) Street trees performed differently by influencing the thermal environment in streets in different directions. (3) Over-dense tree canopy may reduce the vertical air circulation, which leads to the heated air block in the pedestrian spaces. The findings of this study showed great opportunities for supporting decision-makers in improving the urban thermal environment through street greenery. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Decision making

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Characterizing students' design strategies during simulation-based engineering of sustainable buildings

Characterizing students' design strategies during simulation...

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2020 ASEE Virtual Annual Conference, ASEE 2020

作者： Karabiyik, Tugba Magana, Alejandra J. Parsons, Paul Seah, Ying Ying Purdue Polytechnic Institute Purdue University Main Campus College of Engineering West Lafayette United States Department of Computer and Information Technology and an Affiliated Faculty School of Engineering Education Purdue University Main Campus College of Engineering West Lafayette United States Polytechnic Institute Purdue University United States Department of Computer Information Technology Purdue University United States

This is a research paper. Investigating the use of design strategies is one of the most important approaches in understanding the design thinking processes of students in engineering design. Understanding students' use of design strategies-specifically, generating ideas, conducting experiments, revising and iterating, and troubleshooting-allows educators to better help students improve in their design thinking processes. In this study, we aimed to investigate and characterize students' use of four design strategies while they were designing with an educational CAD tool. Using students' captured videos and think-aloud transcripts, we have identified and characterized patterns of students' four design strategies. In this study, we have classified students into five categories based on their design patterns and descriptively identified the least and most prominent patterns students implemented. © American Society for Engineering Education 2020.

关键词： Students

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