Готові списки джерел за темами / Vehicles of the self-weighted layer

Зміст

Статті в журналах
Дисертації
Частини книг
Тези доповідей конференцій

Добірка наукової літератури з теми "Vehicles of the self-weighted layer"

Автор: Grafiati

Опубліковано: 28 травня 2022

Оновлено: 31 липня 2025

Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями

Оберіть тип джерела:

Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Vehicles of the self-weighted layer".

Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.

Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.

Статті в журналах з теми "Vehicles of the self-weighted layer"

Li, Qin, Bingguang Ou, Yifa Liang, Yong Wang, Xuan Yang, and Linchao Li. "TCN-SA: A Social Attention Network Based on Temporal Convolutional Network for Vehicle Trajectory Prediction." Journal of Advanced Transportation 2023 (December 9, 2023): 1–12. http://dx.doi.org/10.1155/2023/1286977.

Повний текст джерела

Анотація:

Vehicle trajectory prediction can provide important support for intelligent transportation systems in areas such as autonomous driving, traffic control, and traffic flow optimization. Predicting vehicle trajectories is an extremely challenging task that not only depends on the vehicle’s historical trajectory but also on the dynamic and complex social-temporal relationships of the surrounding traffic network. The trajectory of the target vehicle is influenced by surrounding vehicles. However, existing methods have shortcomings in considering both time dependency and interactive dependency betwe

Стилі APA, Harvard, Vancouver, ISO та ін.

Dun Cao, Dun Cao, Jiawen Liu Dun Cao, Qinghua Liu Jiawen Liu, Jin Wang Qinghua Liu, and Min Zhu Jin Wang. "Relay-node Selection Method Based on Weighted Strategy for 3D Scenario in Internet of Vehicles." 網際網路技術學刊 25, no. 2 (2024): 233–40. http://dx.doi.org/10.53106/160792642024032502006.

Повний текст джерела

Анотація:

<p>In recent years, Internet of Vehicles (IoV), as a supporting technology for Intelligent Transportation System (ITS), is flourishing with the emergence and development of new technologies such as edge computing, 5G communication, and Artificial Intelligence (AI). However, the more complexity of wireless channels and vehicle distribution in 3D scenario brings a great challenge for relay-node selection in ITS. In this paper, we focus on how to alleviate the problem that the decline of two-hop distance and two-hop connection probability caused by the relative fading of inter-layer communi

Стилі APA, Harvard, Vancouver, ISO та ін.

Kramer, Louisa J., Leigh R. Crilley, Thomas J. Adams, Stephen M. Ball, Francis D. Pope, and William J. Bloss. "Nitrous acid (HONO) emissions under real-world driving conditions from vehicles in a UK road tunnel." Atmospheric Chemistry and Physics 20, no. 9 (2020): 5231–48. http://dx.doi.org/10.5194/acp-20-5231-2020.

Повний текст джерела

Анотація:

Abstract. Measurements of atmospheric boundary layer nitrous acid (HONO) and nitrogen oxides (NOx) were performed in summer 2016 inside a city centre road tunnel in Birmingham, United Kingdom. HONO and NOx mixing ratios were strongly correlated with traffic density, with peak levels observed during the early evening rush hour as a result of traffic congestion in the tunnel. A day-time ΔHONO∕ΔNOx ratio of 0.85 % (0.72 % to 1.01 %, 95 % confidence interval) was calculated using reduced major axis regression for the overall fleet average (comprising 59 % diesel-fuelled vehicles). A comparison wit

Стилі APA, Harvard, Vancouver, ISO та ін.

Zou, Wang, and Hanyu Gan. "Free motion characteristics of the ventilated supercavitating vehicles." Journal of Physics: Conference Series 2756, no. 1 (2024): 012046. http://dx.doi.org/10.1088/1742-6596/2756/1/012046.

Повний текст джерела

Анотація:

Abstract Supercavitation theory and technology are important methods for reducing the drag of underwater vehicles to achieve motion with high speed. A ventilated supercavitating vehicle can break the limitation of natural supercavitation on speed and ambient pressure and has broad application prospects. The presence of hydrodynamic forces only at the head and tail restricts the significant improvement of the motion performance of the vehicle. Therefore, this study improves the dynamic model of a supercavitating vehicle using a self-developed shear-layer gas loss model and simulates the vehicle

Стилі APA, Harvard, Vancouver, ISO та ін.

Li, Linhui, Xin Sui, Jing Lian, Fengning Yu, and Yafu Zhou. "Vehicle Interaction Behavior Prediction with Self-Attention." Sensors 22, no. 2 (2022): 429. http://dx.doi.org/10.3390/s22020429.

Повний текст джерела

Анотація:

The structured road is a scene with high interaction between vehicles, but due to the high uncertainty of behavior, the prediction of vehicle interaction behavior is still a challenge. This prediction is significant for controlling the ego-vehicle. We propose an interaction behavior prediction model based on vehicle cluster (VC) by self-attention (VC-Attention) to improve the prediction performance. Firstly, a five-vehicle based cluster structure is designed to extract the interactive features between ego-vehicle and target vehicle, such as Deceleration Rate to Avoid a Crash (DRAC) and the lan

Стилі APA, Harvard, Vancouver, ISO та ін.

Yin, Yuming, Shengbo Eben Li, Keqiang Li, Jue Yang, and Fei Ma. "Self-learning drift control of automated vehicles beyond handling limit after rear-end collision." Transportation Safety and Environment 2, no. 2 (2020): 97–105. http://dx.doi.org/10.1093/tse/tdaa009.

Повний текст джерела

Анотація:

Abstract Vehicles involved in traffic accidents generally experience divergent vehicle motion, which causes severe damage. This paper presents a self-learning drift-control method for the purpose of stabilizing a vehicle's yaw motions after a high-speed rear-end collision. The struck vehicle generally experiences substantial drifting and/or spinning after the collision, which is beyond the handling limit and difficult to control. Drift control of the struck vehicle along the original lane was investigated. The rear-end collision was treated as a set of impact forces, and the three-dimensional

Стилі APA, Harvard, Vancouver, ISO та ін.

Adu-Kyere, Akwasi, Ethiopia Nigussie, and Jouni Isoaho. "Self-Aware Cybersecurity Architecture for Autonomous Vehicles: Security through System-Level Accountability." Sensors 23, no. 21 (2023): 8817. http://dx.doi.org/10.3390/s23218817.

Повний текст джерела

Анотація:

The inherent dynamism of recent technological advancements in intelligent vehicles has seen multitudes of noteworthy security concerns regarding interactions and data. As future mobility embraces the concept of vehicles-to-everything, it exacerbates security complexities and challenges concerning dynamism, adaptiveness, and self-awareness. It calls for a transition from security measures relying on static approaches and implementations. Therefore, to address this transition, this work proposes a hierarchical self-aware security architecture that effectively establishes accountability at the sy

Стилі APA, Harvard, Vancouver, ISO та ін.

Du, Zhiqiang, Jiaheng Zhang, Yanfang Fu, Muhong Huang, Liangxin Liu, and Yunliang Li. "A Scalable and Trust-Value-Based Consensus Algorithm for Internet of Vehicles." Applied Sciences 13, no. 19 (2023): 10663. http://dx.doi.org/10.3390/app131910663.

Повний текст джерела

Анотація:

As blockchain technology plays an increasingly important role in the Internet of Vehicles, how to further enhance the data consensus between the areas of the Internet of Vehicles has become a key issue in blockchain design. The traditional blockchain-based vehicle networking consensus mechanism adopts the double-layer PBFT architecture, through the grouping of nodes for first intra-group consensus, and then global consensus. To further reduce delay, we propose a CRMWSL-PBFT algorithm (C-PBFT) for vehicle networking. Firstly, in order to ensure the security of RSU nodes in the network of vehicl

Стилі APA, Harvard, Vancouver, ISO та ін.

Rui, Li, Xie Xiaoyu, and Duan Xueyan. "Fatigue Load Spectrum of Highway Bridge Vehicles in Plateau Mountainous Area Based on Wireless Sensing." Mobile Information Systems 2021 (April 26, 2021): 1–8. http://dx.doi.org/10.1155/2021/9955988.

Повний текст джерела

Анотація:

In Yunnan and other plateau mountainous areas, hydropower and mineral resources are abundant, and there are relatively many vehicles used for the transportation of large hydropower facilities. The widespread phenomenon of vehicle overload causes severe fatigue among the drivers. However, there is no reference vehicle load spectrum for fatigue analysis in the existing research. The application of wireless sensing technology to bridge health monitoring is favorable for the entire monitoring system’s low-cost and intelligent development. In this study, wireless sensors are used to collect sensing

Стилі APA, Harvard, Vancouver, ISO та ін.

Feng, Jianbo, Zepeng Gao, and Bingying Guo. "An Adaptive Vehicle Stability Enhancement Controller Based on Tire Cornering Stiffness Adaptations." World Electric Vehicle Journal 16, no. 7 (2025): 377. https://doi.org/10.3390/wevj16070377.

Повний текст джерела

Анотація:

This study presents an adaptive integrated chassis control strategy for enhancing vehicle stability under different road conditions, specifically through the real-time estimation of tire cornering stiffness. A hierarchical control architecture is developed, combining active front steering (AFS) and direct yaw moment control (DYC). A recursive regularized weighted least squares algorithm is designed to estimate tire cornering stiffness from measurable vehicle states, eliminating the need for additional tire sensors. Leveraging this estimation, an adaptive sliding mode controller (ASMC) is propo

Стилі APA, Harvard, Vancouver, ISO та ін.

Більше джерел

Дисертації з теми "Vehicles of the self-weighted layer"

Юхименко, Микола Петрович, Николай Петрович Юхименко та Mykola Petrovych Yukhymenko. "Ентропійні методи опису технологічних процесів в апаратах завислого шару". Thesis, Вид-во СумДУ, 2010. http://essuir.sumdu.edu.ua/handle/123456789/5796.

Повний текст джерела

Анотація:

Одним зі шляхів підвищення інтенсивності технологічних процесів є здійснення їх в активному аеродинамічному режимі – завислому шарі. Розробку і впровадження апаратів із завислим шаром на багатьох виробництвах стримує відсутність надійних розрахункових залежностей. Одержання останніх можливе при використанні ентропійних методів до опису складних процесів, що протікають при зважуванні і переносі турбулентним потоком газу частинок зернистого матеріалу. При цитуванні документа, використовуйте посилання http://essuir.sumdu.edu.ua/handle/123456789/5796

Стилі APA, Harvard, Vancouver, ISO та ін.

Ghallabi, Farouk. "Precise self-localization of autonomous vehicles using lidar sensors and highly accurate digital maps on highway roads." Thesis, Université Paris sciences et lettres, 2020. http://www.theses.fr/2020UPSLM028.

Повний текст джерела

Анотація:

Dans le cadre de cette thèse, un système de perception à base d’un capteur LIDAR et un système de localisation sur une carte numérique très précise ont été développés dans le contexte des développements des véhicules autonomes. Le système de perception proposé utilise les données 3D augmentées par la réflectivité du LiDAR afin de détecter les marquages au sol, les barrières, les panneaux de signalisation et les rétro-reflecteurs placés sur les barrières ou rails de sécurité dans un environnement autoroutier. Les objets détectés sont ensuite recalés par rapport à une carte numérique très précis

Стилі APA, Harvard, Vancouver, ISO та ін.

Частини книг з теми "Vehicles of the self-weighted layer"

Jachero, Bryan, and Karina Bermeo. "A Practical and Cost-Effective Combination of GPS Data and Machine Learning Tools for Detecting Transportation Modes." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-87065-1_18.

Повний текст джерела

Анотація:

Abstract This work proposes a novel methodology to determine the modes of transportation used in the city of Cuenca, Ecuador, based on geolocation data and machine learning. For this purpose, 354,096 mobility samples from 40 people are collected via their mobile phones, with the respective identification of the transportation mode used: pedestrian, bicycle, bus, tram, taxi, and private vehicle. These samples are used to train and validate supervised learning architectures: classification trees, weighted k-nearest neighbor classifier, support vector machines, and two-layer neural networks. The

Стилі APA, Harvard, Vancouver, ISO та ін.

Liu, Ze, Sichuan Xu, and Baitao Zhang. "Development and Validation of a 100 kW-Class Fuel Cell System Controller for Passenger Cars." In Proceedings of the 10th Hydrogen Technology Convention, Volume 1. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-8631-6_7.

Повний текст джерела

Анотація:

AbstractFuel cell (FC) vehicle is an important technology route to achieve carbon neutrality in transportation. This paper examines the integration, system control, and performance test of a high-power self-humidifying fuel cell system for passenger cars. Firstly, a high specific power FC system integration scheme is designed, and a highly integrated 100 kW self-humidifying fuel cell system is realized based on the installation requirements of passenger cars. Then, the system controller application layer is developed using Matlab/Simulink and the controller rapid development prototype for comp

Стилі APA, Harvard, Vancouver, ISO та ін.

Fournier, Guy, Michael Thalhofer, Johannes Klarmann, et al. "System Innovation in Passenger Transportation with Automated Minibuses in ITS: The Citizen-Centric Approach of AVENUE." In Contributions to Management Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-61681-5_18.

Повний текст джерела

Анотація:

AbstractThe first chapter explores three pathways for incorporating automated vehicles (AVs) into future mobility ecosystems: privately owned AVs, robotaxis and automated minibuses in a Mobility-as-a-Service (MaaS) and (later) in an Intelligent Transport System (ITS). The chapter emphasises that automated minibuses, when seamlessly integrated into a MaaS, could emerge as pivotal “game changer”, complementing and fostering other means of transport, in particular mass transport. Integrating in a next step AVs within an ITS could further make it possible to use mobility data and artificial intell

Стилі APA, Harvard, Vancouver, ISO та ін.

Haidine, Abdelfatteh, Fatima Zahra Salmam, Abdelhak Aqqal, and Aziz Dahbi. "Artificial Intelligence and Machine Learning in 5G and beyond: A Survey and Perspectives." In Moving Broadband Mobile Communications Forward - Intelligent Technologies for 5G and Beyond. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98517.

Повний текст джерела

Анотація:

The deployment of 4G/LTE (Long Term Evolution) mobile network has solved the major challenge of high capacities, to build real broadband mobile Internet. This was possible mainly through very strong physical layer and flexible network architecture. However, the bandwidth hungry services have been developed in unprecedented way, such as virtual reality (VR), augmented reality (AR), etc. Furthermore, mobile networks are facing other new services with extremely demand of higher reliability and almost zero-latency performance, like vehicle communications or Internet-of-Vehicles (IoV). Using new ra

Стилі APA, Harvard, Vancouver, ISO та ін.

Subbulakshmi T. and Balaji N. "Autonomous Intelligent Robotic Navigation System Architecture With Mobility Service for IoT." In Robotic Systems. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1754-3.ch020.

Повний текст джерела

Анотація:

This article presents the platform for autonomous vehicle architecture, navigation optimization and mobility services. The basic approach is to develop an intelligent agent to create a safety journey and redefine the world of transportation. The goal is to eliminate human driving errors and save human life from accidents. AI robots are a concept of future transportation with full automation and self-learning. Velodyne laser sensors are used for obstacle detection and autonomous navigation of ground vehicles and to create 3D images of the surround so that navigation and controls are optimized.

Стилі APA, Harvard, Vancouver, ISO та ін.

Pokale, Tanvi, and Kaushalya Thopate. "Cybersecurity Challenges in Electric Vehicles and Renewable Energy Systems." In Modern Computing Technologies for EV Efficiency and Sustainable Energy Integration. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-2382-4.ch004.

Повний текст джерела

Анотація:

Emerging of digital technologies (IoT, artificial intelligence, cloud computing, smart grid etc), ENCs and EVs are being taken up faster owing to evolution from digital technologies such as the Internet of Things digital technology for short (IoT), artificial intelligence (AI), cloud computing and smart grids. This later leads us to consider these EVs and RES more competent and self-sufficient through automation, real time supervision ability & optimization of energy. With these technologies, though, coming more and deeper into the transportation and energy systems, securing against perpet

Стилі APA, Harvard, Vancouver, ISO та ін.

Konar, Debanjan, and Suman Kalyan Kar. "An Efficient Handwritten Character Recognition Using Quantum Multilayer Neural Network (QMLNN) Architecture." In Research Anthology on Advancements in Quantum Technology. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8593-1.ch021.

Повний текст джерела

Анотація:

This chapter proposes a quantum multi-layer neural network (QMLNN) architecture suitable for handwritten character recognition in real time, assisted by quantum backpropagation of errors calculated from the quantum-inspired fuzziness measure of network output states. It is composed of three second-order neighborhood-topology-based inter-connected layers of neurons represented by qubits known as input, hidden, and output layers. The QMLNN architecture is a feed forward network with standard quantum backpropagation algorithm for the adjustment of its weighted interconnection. QMLNN self-organize

Стилі APA, Harvard, Vancouver, ISO та ін.

Konar, Debanjan, and Suman Kalyan Kar. "An Efficient Handwritten Character Recognition Using Quantum Multilayer Neural Network (QMLNN) Architecture." In Quantum-Inspired Intelligent Systems for Multimedia Data Analysis. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5219-2.ch008.

Повний текст джерела

Анотація:

Стилі APA, Harvard, Vancouver, ISO та ін.

Ford, Christopher M. "Personal Self-Defense and the Standing Rules of Engagement." In Complex Battlespaces. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190915360.003.0004.

Повний текст джерела

Анотація:

The U.S. military Standing Rules of Engagement (SROE) restrict the use of force in armed conflict to either self-defense or “mission-specific” rules of engagement, which refer to the use of force against members of enemy armed forces or organized armed groups that have been “declared hostile.” This bifurcation of authority works well in an international armed conflict, where the enemy force is uniformed and easily distinguished. In these circumstances, the overwhelming number of engagements are against identified hostile forces. In many non-international armed conflicts, however, combatants ac

Стилі APA, Harvard, Vancouver, ISO та ін.

"Individual Tax-Favored Savings Plans." In Fundamentals of Private Pensions, edited by Dan M. McGill, Kyle N. Brown, John J. Haley, Sylvester J. Schieber, and Mark J. Warshawsky. Oxford University PressOxford, 2009. http://dx.doi.org/10.1093/oso/9780199544516.003.0013.

Повний текст джерела

Анотація:

Abstract There are a variety of individual tax-favored savings vehicles, reflecting the wealth of public policy reasons for helping people save. To encourage personal thrift and to enable those not covered by employer-sponsored retirement programs to reap the rewards of tax-favored saving, ERISA authorized the establishment of individual retirement plans. At first, only those without an employer-sponsored qualified plan or other tax-favored arrangement could establish individual retirement plans. Reflecting the constant pressure to protect the public fisc, the law limited annual contributions.

Стилі APA, Harvard, Vancouver, ISO та ін.

Тези доповідей конференцій з теми "Vehicles of the self-weighted layer"

Wilson, Rebekah, and Brooke Divan. "Corrosion Prevention via Generation of Iron-Magnesium Phosphate Deposition Coating." In SSPC 2018. SSPC, 2018. https://doi.org/10.5006/s2018-00082.

Повний текст джерела

Анотація:

Abstract The DoD functions under a wide array of infrastructure to include, but not limited to, ships, tanks, combat vehicles and buildings. Due to the nature and need of the building materials, these are always at risk for corrosion, causing the infrastructure to literally crumble. This obviously puts Soldiers in harm's way due to issues such as weapon misfiring and structural failures. The estimated cost of corrosion within the DoD is $21 billion annually, more if you consider civil works. It would be advantageous to put forth an effort to find ways to mitigate this impact. Typically this is

Стилі APA, Harvard, Vancouver, ISO та ін.

Li, Zhuoren, Guizhe Jin, Ran Yu, Bo Leng, and Lu Xiong. "Interaction-Aware Deep Reinforcement Learning Approach Based on Hybrid Parameterized Action Space for Autonomous Driving." In SAE 2024 Intelligent and Connected Vehicles Symposium. SAE International, 2024. https://doi.org/10.4271/2024-01-7035.

Повний текст джерела

Анотація:

<div class="section abstract"><div class="htmlview paragraph">Learning-based motion planning methods such as reinforcement learning (RL) have shown great potential of improving the performance of autonomous driving. However, comprehensively ensuring safety and efficiency remain a challenge for motion planning technology. Most current RL methods output discrete behavioral action or continuous control action, which lack an intuitive representation of the future motion and then face the problems with unstable or reckless driving behavior. To address these issues, this work proposes an

Стилі APA, Harvard, Vancouver, ISO та ін.

Xu, Yunxin, Weichao Shi, and Yang Song. "Coupled Analysis of an Remora-Inspired AUV Docking to a Submarine During Recovery Process." In ASME 2024 43rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/omae2024-132227.

Повний текст джерела

Анотація:

Abstract To enhance the cost-effectiveness and safety of offshore operations, the utilization of autonomous underwater vehicles (AUVs) has become popular across various industries. However, traditional docking or recovery methods for AUVs can be inefficient, requiring the mother vehicle to remain stationary. Consequently, there is a critical need to develop underwater dynamic recovery systems for AUVs to reduce operation costs, shorten redeployment times, and enhance overall operational efficiency compared to traditional docking methods. Recent investigations into the ‘hitchhiking’ behaviour o

Стилі APA, Harvard, Vancouver, ISO та ін.

Nieduzak, Tymon B., Tianyi Zhou, Eleonora M. Tronci, Luke B. Demo, and Maria Q. Feng. "Machine Learning Predictive Algorithm for Self-Sensing Electric Vehicle Battery Enclosure." In ASME 2024 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/smasis2024-140078.

Повний текст джерела

Анотація:

Abstract Electric Vehicles (EVs) are a favorable and rapidly growing tactic for reducing carbon emissions. However, the most commonly used power source in EVs, Lithium-Ion Batteries (LIBs), can pose a significant safety risk in the form of thermal runaway. This is a fast-acting and dangerous failure mode that may lead to fires and explosions. To address this issue, the authors’ previous work developed a self-sensing composite battery enclosure with embedded micro-temperature sensors to provide LIB condition monitoring. The prior work produced extensive experimental and simulation results, char

Стилі APA, Harvard, Vancouver, ISO та ін.

Xu, Yunxin, Weichao Shi, and Callum Stark. "Hydrodynamic Investigation of a Remora-Inspired Autonomous Underwater Vehicle Docking Onto a Benchmark Submarine." In ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/omae2022-78048.

Повний текст джерела

Анотація:

Abstract To improve the cost-effectiveness and safety of offshore operations, autonomous underwater vehicles (AUVs) are widely used in various fields. However, traditional docking or recovery methods for AUV’s can be very inefficient as they require the mother vehicle to be stationary. Therefore, to reduce recovery operation cost, shorten the redeployment time and increase operational efficiency when compared to traditional docking methods, the development of underwater dynamic recovery systems for AUVs is critical. Recently the ‘hitchhiking’ behavior of remoras which have a symbiotic relation

Стилі APA, Harvard, Vancouver, ISO та ін.

Lalli, Jennifer H., William Harrison, Theodore Distler, et al. "Shape Memory-Metal Rubber™ Morphing Aircraft Skins." In ASME 2009 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2009. http://dx.doi.org/10.1115/smasis2009-1229.

Повний текст джерела

Анотація:

This paper discusses electrically conductive, shape changing, elastomeric nanocomposites capable of surviving repeated mechanical strains while remaining highly electrically conductive. Morphing nanocomposites were formed in-situ by chemically reacting monolayers of well defined, electrically conductive, nanostructured constituents with high performance shape memory copolymers. In this study, electrical conductivity was investigated as a function of volume fraction of nanoparticles and processing conditions. It was found that self-assembly processing results in percolation and surface resistiv

Стилі APA, Harvard, Vancouver, ISO та ін.

Hua, Cui. "Boosted Deep Neural Network with Weighted Output Layers." In Intelligent and Connected Vehicles Symposium. SAE International, 2017. http://dx.doi.org/10.4271/2017-01-1997.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Nousir, Saadia, and Karl-Michael Winter. "Enhancing Brake Performance: FNC-Smart-ONC® Technology to Address Corrosion Challenges and Extend the Durability of GCI Rotors." In Brake Colloquium & Exhibition - 42nd Annual. SAE International, 2024. http://dx.doi.org/10.4271/2024-01-3044.

Повний текст джерела

Анотація:

<div class="section abstract"><div class="htmlview paragraph">The most used rotor material is gray cast iron (GCI), known for its susceptibility to corrosion. The impact of corrosion on the braking system is paramount, affecting both braking performance and the emission of particulate matter. The issue becomes more severe, especially when the brakes are left stationary or unused for extended durations in humid conditions, as seen with electric vehicles (EVs). Brake disc corrosion amplifies the risk of corrosion adhesion between contacting surfaces, leading to substantial damage, in

Стилі APA, Harvard, Vancouver, ISO та ін.

Surace, Giuseppe, and Radu Udrescu. "Effects of Low Frequency Induced Excitations on Fluttering Panels in Supersonic Flow." In ASME 1999 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/imece1999-0223.

Повний текст джерела

Анотація:

Abstract The paper extends the classical problem of nonlinear panel flutter to the analysis of the effects of external forcing on aerodynamically self-excited thin plates structures of high speed vehicles. This phenomenon can be induced by the aeroeacoustic excitation of noise, boundary layer, or oscillating shock waves. The problem is formulated within nonlinear elastic and linear aerodynamic theories by using a complex finite element model consisting of fifth order plate and second order membrane triangular elements. The excitation is applied harmonically as uniformly distributed pressures.

Стилі APA, Harvard, Vancouver, ISO та ін.

Obuli Karthikeyan, N., N. Gopi Kannan, Venkata Satish Langu, and J. Nanda Kumar. "Hydrogen Fuel Cell Efficiency Improvement with Increased Oxygen Concentration and Adaptive Thermal Management System." In Automotive Technical Papers. SAE International, 2023. http://dx.doi.org/10.4271/2023-01-5030.

Повний текст джерела

Анотація:

<div class="section abstract"><div class="htmlview paragraph">Sustainable development is the ultimate focus for all the upcoming inventions and innovations in the modern world. Automotive manufacturers contribute their research in terms of producing eco-friendly vehicles since it is proven that internal combustion engine–powered vehicles directly affect the air quality with their polluting exhaust gas. The rapid emergence of zero tailpipe emission vehicles such as electric and fuel cell electric vehicles (FCEVs) obtained the attention of major automotive giants worldwide. owing to

Стилі APA, Harvard, Vancouver, ISO та ін.

Ми пропонуємо знижки на всі преміум-плани для авторів, чиї праці увійшли до тематичних добірок літератури. Зв'яжіться з нами, щоб отримати унікальний промокод!