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Differentiating structure of in situ and ex situ formation of laser-induced graphene hybrids

Rare Metals 2022年第9期41卷 3035-3044页

作者： Li-Bei Huang Wei-Hua Guo Le Cheng Jian-Jun Su Yun Song Fei-Jun Hu Ying Lo Law Zheng Yan Jian Lin Ru-Quan Ye State Key Laboratory of Marine Pollution Department of ChemistryCity University of Hong KongHong Kong999077China Department of Mechanical and Aerospace Engineering University of MissouriColumbiaMO65211USA Department of Biomedical Biological&Chemical EngineeringUniversity of MissouriColumbiaMO65211USA Department of Electrical Engineering and Computer Science University of MissouriColumbiaMO65211USA City University of Hong Kong Shenzhen Research Institute Shenzhen518057China

Laser-induced graphene(LIG)has been exploited in various fields,such as batteries,water treatment,and flexible actuators and sensors,with the advantages of ease in patternable fabrication and graphene/metal hybrid *** in situ method which includes a single lase step and the ex situ method which uses two lase steps are both widely implemented to synthesize graphene/metal ***,the differences in the structures and properties of the resulting hybrids are not fully ***,we investigate the advantages of ex situ and in situ methods for preparing LIG hybrids using NiFe/LIG as an *** morphology,elemental composition,resistance to strong acid,and application in electrocatalysis and dye adsorption of ex situ and in situ NiFe/LIG hybrids were systematically studied and ***-dispersive X-ray spectrometry(EDS)and vibrating sample magnetometry(VSM)results confirmed the structural differences between the NiFe/LIG *** nanoparticles are mostly wrapped by carbon layers in the in situ NiFe/LIG hybrid,while the ex situ NiFe/LIG hybrid largely exposes the metal *** structural differences are significant for tailoring performance in applications,such as wastewater treatment and *** work provides insights into the synthesis and properties of LIGs and has important implications for future applications.

关键词： Ex situ In situ Laser-induced graphene Metal-containing hybrids Oxygen evolution reaction Dye adsorption

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Design and Deployment of an Autonomous Unmanned Ground Vehicle for Urban Firefighting Scenarios

Field Robotics

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Field Robotics 2025年 1卷 1-17页

作者： Kshitij Jindal Anthony Wang Dinesh Thakur Alex Zhou Vojtech Spurny Viktor Walter George Broughton Tomas Krajnik Martin Saska Giuseppe Loianno Department of Mechanical and Aerospace Engineering New York University New York New York USA Department of Mechanical Engineering and Applied Mechanics University of Pennsylvania Philadelphia Pennsylvania USA Faculty of Electrical Engineering CTU in Prague Prague Czech Republic Department of Electrical and Computer Engineering New York University New York New York USA

Autonomous mobile robots have the potential to execute missions that are either too complex or too dangerous for humans. In this paper, we address the design and deployment of an autonomous ground vehicle equipped with a robotic arm for urban firefighting scenarios. We describe hardware and algorithm designs for autonomous navigation, planning, fire source identification and abatement in unstructured urban scenarios. Our approach employs on-board sensors for autonomous navigation and thermal camera information for source identification. A custom electro-mechanical pump is responsible to eject water for fire abatement. The proposed approach is validated through several experiments, where we show the ability to identify and abate a simulated fire source in a building. The whole system was developed and deployed during the Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2020, for Challenge 3 — Fire Fighting Inside a High-Rise Building. Our approach was instrumental to win the first place in the MBZIRC Grand Challenge, which included the Challenge 3 as one its three tasks and it scored the highest number of points among all UGV solutions, while being the most compact one among all the teams.

关键词： Robots Cameras Buildings Robot vision systems End effectors Land vehicles Autonomous robots Water pumps Navigation Planning

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RAPUF: A Novel Integration of Reversible Logic and Arbiter Physical Unclonable Functions for Enhancing IoT Security

RAPUF: A Novel Integration of Reversible Logic and Arbiter P...

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2024 International Conference on Artificial Intelligence, computer, Data sciences, and Applications, ACDSA 2024

作者： Rizk, Dominick Rizk, Frederic Rizk, Patrick Rizk, Rodrigue The Catholic University of America Dept. of Electrical Engineering and Computer Science WashingtonDC United States University of Louisiana at Lafayette The Center for Advanced Computer Studies LafayetteLA United States University of Quebec at Trois-Rivières Dept. of Mechanical Engineering Drummondville Canada University of South Dakota Dept. of Computer Science VermillionSD United States

ISBN: (纸本)9798350394528

The Internet of Things (IoT) devices' proliferation underscores the critical importance of fortifying nanoscale circuit security against evolving cyber threats. This paper introduces an unprecedented paradigm to enhance IoT security through the synergistic integration of reversible logic gates and Arbiter Physical Unclonable Functions (APUFs). Reversible logic, known for its theoretical efficiency and energy conservation, is coupled with APUFs, leveraging their unique ability to exploit nanoscale manufacturing variations for robust hardware security. The novel integration is specifically tailored to address the distinctive security challenges prevalent in IoT ecosystems. The proposed methodology encompasses designing and implementing a secure nanoscale circuit system, tailored to the resource constraints of IoT devices. Through an exhaustive literature review, we establish the significance of reversible logic and APUFs in the broader context of nanoscale circuit design and IoT security. The experimental results demonstrate not only the feasibility of the integrated approach but also its effectiveness in fortifying IoT devices against unauthorized access and data breaches. This research contributes a fresh perspective to the field of IoT security, presenting a novel solution that combines energy-efficient reversible logic with the intrinsic security features of APUFs. The outcomes of this work hold promise for advancing the security paradigm of IoT devices ensuring their resilience against emerging threats in the ever-evolving landscape of cybersecurity and contributing significantly to the evolving field of quantum-enhanced IoT security. © 2024 IEEE.

关键词： Internet of things

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Aerial-ground collaborative routing with time constraints

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Chinese Journal of Aeronautics 2023年第2期36卷 270-283页

作者： Jiahao XING Lichen SU Wenjing HONG Lu TONG Renli LYU Wenbo DU School of Electronics and Information Engineering Beihang UniversityBeijing 100091China School of Future Aerospace Technology/Shen Yuan Honors College Beihang UniversityBejing 100091China School of Automation Science and Electrical Engineering Beihang UniversityBejing 100091China Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation Shenzhen 518055China Department of Computer Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Research Institute of Frontier Science Beihang UniversityBeijing 100083China CAAC Key Laboratory of General Aviation Operation Civil Aviation Management Institute of ChinaBeijing 100102China

The advancement of autonomous technology makes electric-powered drones an excellent choice for flexible logistics services at the last mile delivery *** reach a balance between green transportation and competitive edge,the collaborative routing of drones in the air and trucks on the ground is increasingly invested in the next generation of delivery,where it is particularly reasonable to consider customer time windows and time-dependent travel times as two typical time-related factors in daily *** this paper,we propose the Vehicle Routing Problem with Drones under Time constraints(VRPD-T)and focus on the time constraints involved in realistic scenarios during the delivery.A mixed-integer linear programming model has been developed to minimize the total delivery completion ***,to overcome the limitations of standard solvers in handling large-scale complex issues,a space-time hybrid heuristic-based algorithm has been developed to effectively identify a high-quality *** numerical results produced from randomly generated instances demonstrate the effectiveness of the proposed algorithm.

关键词： Aerial-ground collaborative delivery Mixed-integer programming Space-time hybrid heuristic algorithm Vehicle routing problem with drones Time-dependent travel times

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High-Fidelity CFD Verification Workshop 2024: Shock-Dominated Flows

High-Fidelity CFD Verification Workshop 2024: Shock-Dominate...

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AIAA Aviation Forum and ASCEND, 2024

作者： Huang, Tianci Zahr, Matthew J. Holst, Kevin Freels, James D. Baker, A.J. Batten, Paul Bachchan, Nili Brad Maeng, Jungyeoul Fisher, Travis C. Kim, Dongseok Yune, Kyeol Kim, Chongam Kim, Juhyun Park, Jaehyeon Jee, Solkeun White, William J. Johnsen, Eric Department of Aerospace and Mechanical Engineering University of Notre Dame Notre DameIN46556-5637 United States Department of Electrical Engineering and Computer Science University of Tennessee KnoxvilleTN37996 United States Department of Mechanical Aerospace and Biomedical Engineering University of Tennessee KnoxvilleTN37996 United States Metacomp Technologies Inc. 31365 Oak Crest Drive #250 Westlake Village CA91361 United States Computational Thermal and Fluid Mechanics Sandia National Laboratories AlbuquerqueNM87185 United States Department of Aerospace Engineering Seoul National University 1 Gwanak-ro Gwanak-gu Seoul08826 Korea Republic of Department of Aerospace System Engineering Sejong University Neungdong-ro Gwangjin-gu Seoul05006 Korea Republic of School of Mechanical Engineering Gwangju Institute of Science and Technology 123 Cheomdan-gwagi-ro Kuk-gu Gwangju61005 Korea Republic of University of Michigan Ann ArborMI48109 United States

This manuscript presents the test problems and results of the shock-dominated flow test suite of the first High-Fidelity CFD Verification Workshop held on January 6-7, 2024. © 2024, American Institute of Aeronaut... 详细信息

ISBN: (纸本)9781624107160

关键词： Shock testing

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Lane-Level Localization of Vehicle in GPS-Denied Environment

Lane-Level Localization of Vehicle in GPS-Denied Environment

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IEEE Symposium on Position Location and Navigation (PLANS)

作者： Nur Uddin Javed Russell Zhu Andrei Kopanev Shengzhe Tan Qadeer Ahmed Department of Electrical and Computer Engineering The Ohio State University Columbus OH USA Department of Computer Science and Engineering The Ohio State University Columbus OH USA Department of Mechanical and Aerospace Engineering The Ohio State University Columbus OH USA

ISBN: (数字)9798331523176

ISBN: (纸本)9798331523183

Autonomous vehicles require lane-level accuracy for safe navigation and localization. However, achieving this accuracy becomes challenging when GPS is unavailable due to signal blockage or disruption. This issue is often addressed by relying on HD maps, which restrict autonomous vehicle operations to specific locations. The proposed method overcomes these limitations. The method uses the on-board sensor data, which is crucial for vehicle operation itself. On-board vehicle sensor data through the Controller Area Network (CAN) bus of the vehicle is utilized to calculate vehicle kinematics. The vehicle’s onboard sensors provide steering angle, steering rate, yaw rate, and wheel speed sensors through the vehicle CANBus. However, kinematics is prone to drift. A map-based map-matching corrects kinematics drift to achieve lane-level localization and maintains accuracy. The approach employs an arc length-based map matching technique using a two-dimensional lane map to align kinematic trajectories with spatial information of the map. The kinematic model’s prediction is used to introduce a temporal notion to the spatial information available in the map data. The arc length is computed by summing up small segments of distance traveled over time by the vehicle. The lane map consists of points that are interpolated. Each segment is defined by two adjacent points of the map. In the beginning, the method localizes the vehicle using the last known GPS position. In the meantime, kinematics starts calculating the trajectory, which accumulates drift. Then, the method finds the point on the map segment based on distance (arc length) and closer to the end of the map segment. When the corrected position reaches the end of the map segment, it moves to a new map segment, ensuring continued and accurate lane-level localization. Additionally, the algorithm incorporates lane detection and classification algorithms, which assist the map matching algorithm to identify the lane changes and local

关键词： Location awareness Accuracy Lane detection Navigation Computational modeling Kinematics Feature extraction Classification algorithms Autonomous vehicles Global Positioning System

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An image reconstruction algorithm based on sparse representation for image compressed sensing

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International Journal of Circuits, Systems and Signal Processing 2021年 15卷 511-518页

作者： Tian, Shuyao Zhang, Liancheng Liu, Yajun College of Electronics and Control Engineering North China Institute of Aerospace Engineering Langfang China College of Mechanical and Electrical Engineering Hebei Normal University of Science & Technology Qinhuangdao China

It is difficult to control the balance between artifact suppression and detail preservation. In addition, the information contained in the reconstructed image is limited. For achieving the purpose of less lost information and lower computational complexity in the sampling process, this paper proposed a novel algorithm to realize the image reconstruction using sparse representation. Firstly, the principle of algorithm for sparse representation is introduced, and then the current commonly used reconstruction algorithms are described in detail. Finally, the algorithm can still process the image when the sparsity is unknown by introducing the sparsity theory and dynamically changing the step size to approximate the sparsity. The results explain that the improved algorithm can not only reconstruct the image with unknown sparsity, but also has advantages over other algorithms in reconstruction time. In addition, compared with other algorithms, the reconstruction time of the improved algorithm is the shortest under the same sampling rate. © 2021, North Atlantic University Union NAUN. All rights reserved.

关键词： Image reconstruction

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Advanced insulating materials contributing to“carbon neutrality”:Opportunities,issues and challenges

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High Voltage 2022年第4期7卷 607-609页

作者： Chuanyang Li Yunlong Zi Yang Cao Giovanni Mazzanti Davide Fabiani Di Zhang Yunqi Xing Jinliang He State Key Laboratory of Power System Department of Electrical EngineeringTsinghua UniversityBeijing100084China Department of Mechanical and Aerospace Engineering The Hong Kong University of Science and TechnologyClear Water BayHong Kong SARChina Electrical and Computer Engineering University of Connecticut371 Fairfield WayStorrsCT 06269USA Department Electrical Electronic and Information EngineeringUniversity of BolognaBologna 40136Italy Electrical and Computer Engineering Department Naval Postgraduate School1 University CircleMontereyCA 93943USA State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of TechnologyTianjin300131China

The vision of 2050 worldwide carbon-neutral ignites a revo-lution in all *** innovations in both electrical power equipment and electrified transportation assets are shaping our future energy *** materials,as the core element of energy infrastructure,are facing unprece-dented challenges that stand in the pathways to global carbon ***,researchers from both academic in-stitutions and industrial sections are working to turn the challenges into opportunities.

关键词： structure. neutral carbon

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Application of Machine Learning and Deep Learning Algorithms to the Prediction of Stock Market Trends

Application of Machine Learning and Deep Learning Algorithms...

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2023 IEEE Global Conference on Information Technologies and Communications, GCITC 2023

作者： Khunti, Shravan Kumar, Prikshit Rao, M. Lakshman Muni, T Vijay Singh, Varun Sanjeev Subhani, Shaik Chand Mabhu Chandigarh University Dept.of Aerospace Engineering Chandigarh State Hwy Punjab Ludhiana India Jc Bose University of Science and Technology Dept.of Information Technology Haryana Faridabad India Madanapalle Institute of Technology & Science Dept.of Mechanical Engineering Madanapalle India Koneru Lakshmaiah Education Foundation Dept.of Electrical and Electronics Engineering Vaddeswaram India Eswar College of Engineering Department of Mechanical Engineering Narasaraopeta India

ISBN: (纸本)9798350308167

The stock market's inherent volatility poses ongoing challenges for stock traders, as it is subject to a multitude of circumstances that exert influence on its behavior. This research aims to mitigate the risk associated with forecasting stock market trends through the utilization of deep learning and machine learning techniques. Eleven machine learning models were utilized in this study: random forest, logistic regression, xgboost, naive Bayes, K-nearest neighbors, decision tree and support vector classifier and extreme gradient boosting. Additionally, two powerful deep learning techniques: recurrent neural networks (RNN) and long short term memory (LSTM) were used. From the Tehran Stock Exchange, four market groups were chosen for the experimental estimates. Petroleum, non-metallic minerals, basic metals, and diversified financials are all part of these categories. © 2023 IEEE.

关键词： Artificial Neural Network deep learning k-nearest neighbors long short-term memory RNN stock market trend prediction stock trading Support Vector Classifier

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Design of a sequestration-based network with tunable pulsing dynamics 63

Design of a sequestration-based network with tunable pulsing...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Nakamura, Eiji Samaniego, Christian Cuba Blanchini, Franco Giordano, Giulia Franco, Elisa University of California Department of Mechanical and Aerospace Engineering Los AngelesCA United States Carnegie Mellon University Department of Computational Biology PittsburghPA United States University of Udine Department of Mathematics Computer Science and Physics Italy University of Trento Department of Industrial Engineering Italy

ISBN: (纸本)9798350316339

Incoherent feedforward networks exhibit the ability to generate temporal pulse behavior. However, exerting control over specific dynamic properties, such as amplitude and rise time, poses a challenge and is intricately tied to the network's implementation. In this study, we focus on analyzing sequestration-based networks capable of exhibiting pulse behavior. By employing time-scale separation in the fast sequestration regime, we approximate the temporal dynamics of these networks. This approach allows us to establish a mapping that elucidates the impact of varying the kinetic rates and pulse specifications, including amplitude and rise time. Furthermore, we introduce a positive feedback mechanism to regulate the amplitude of the pulsing response. © 2024 IEEE.

关键词： Time varying networks

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