检索结果-内蒙古大学图书馆

AIAA Modeling and Simulation Technologies Conference, 2018

作者： Durak, Umut Jafer, Shafagh Wittman, Rob Mittal, Saurabh Hartmann, Sven Zeigler, Bernard P. Institute of Flight Systems Braunschweig38108 Germany Embry-Riddle Aeronautical University Daytona BeachFL32114-3900 United States The MITRE Corporation McLean VA22102 United States Clausthal University of Technology Clausthal-Zellerfeld38678 Germany RTSync Corp. and Arizona Center for Integrated M&S TucsonAZ85621 United States Flight Dynamics and Simulation Department of Electrical Computer Software and Systems Engineering Department Head Simulation Experimentation and Gaming Architecture Analytics Department Department of Informatics Department of Electrical and Computing Engineering

ISBN: (数字)9781624105289

ISBN: (纸本)9781624105289

The modeling and simulation community in aviation is in search of standardization in simulation scenario definition. While the System Entity Structure (SES) ontology promises an effective formal means of domain modeling, computational representation is still a key challenge to tackle for fostering wide-acceptance and standardization. This paper presents an eXtended Markup Language (XML) based approach. It first gives the relational specification and the schema definition of the SES ontology. Following a layered modeling workflow, it then presents a schema definition for the simulation scenario definition language and exemplifies its utilization. © 2018, American institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Standardization

来源：评论

学校读者我要写书评

暂无评论

ECG-derived blood pressure classification using complexity analysis-based machine learning 11

ECG-derived blood pressure classification using complexity a...

引用

11th International Conference on Health Informatics, HEALTHINF 2018 - Part of 11th International Joint Conference on Biomedical engineering systems and Technologies, BIOSTEC 2018

作者： Simjanoska, Monika Gjoreski, Martin Bogdanova, Ana Madevska Koteska, Bojana Gams, Matjaž Tasič, Jurij Faculty of Computer Science and Engineering Ss. Cyril and Methodius University Rugjer Boshkovikj 16 Skopje1000 Macedonia Department of Intelligent Systems Jozef Stefan Institute International Postgraduate School Jamova cesta 39 Ljubljana1000 Slovenia Faculty of Electrical Engineering University of Ljubljana Trzaska cesta 25 Ljubljana1000 Slovenia

ISBN: (纸本)9789897582813

The recent advancement on wearable physiological sensors supports the development of real-time diagnosis in preventive medicine that demands various signal processing techniques to enable the extraction of the vital signs (e.g., blood pressure). Blood pressure estimation from physiological sensors data is challenging task that usually is solved by a combination of multiple signals. In this paper we present a novel complexity analysis-based machine-learning perspective on the problem of blood pressure class estimation only from ECG signals. We show that high classification accuracy of 96.68% can be achieved by extracting information via complexity analysis on the ECG signal followed by applying a stack of machine-learning classifiers. In addition, the proposed stacking approach is compared to a traditional machine-learning approaches and feature analysis is performed to determine the influence of the different features on the classification accuracy. The experimental data was gathered by daily monitoring of 20 subjects with two different ECG sensors. Copyright © 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved

关键词： Electrocardiograms

来源：评论

学校读者我要写书评

暂无评论

The launch of BMC Materials

引用

BMC Materials 2019年第1期1卷 1-5页

作者： Harriet E. Manning Pedro Barquinha Rodrigo Martins Wenguo Cui Drew Evans Emmanuel Kymakis Haiyan Wang Ehrenfried Zschech Springer Nature 4 Crinan Street London N1 9XW UK Department of Materials Science Universidade NOVA de Lisboa Lisbon Portugal Shanghai Institute of Traumatology and Orthopaedics Ruijin Hospital Shanghai Jiao Tong University School of Medicine Shanghai China Future Industries Institute University of South Australia Adelaide Australia Department of Electrical & Computer Engineering Hellenic Mediterranean University Heraklion Crete Greece School of Materials Engineering Purdue University West Lafayette USA Fraunhofer Institute for Ceramic Technologies and Systems Dresden Germany

BMC Materials is a new, community-focussed venue for all publishable research across the broad discipline of materials science. It joins the mature and reputable BMC Series of journals, adhering to the same standards ...

BMC Materials is a new, community-focussed venue for all publishable research across the broad discipline of materials science. It joins the mature and reputable BMC Series of journals, adhering to the same standards of publishing and the ethos of open research set by the Series. Together with its sister journals BMC Chemical engineering, BMC Biomedical engineering, BMC Energy and BMC Chemistry, BMC Materials furthers the BMC Series’ expansion into the physical sciences and engineering.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Automatic generation of flight simulation scenarios with aviation scenario definition language

Automatic generation of flight simulation scenarios with avi...

引用

作者： Jafer, Shafagh Chhaya, Bharvi Durak, Umut Gerlach, Torsten Embry-Riddle Aeronautical University Daytona BeachFL32114-3900 United States DLR German Aerospace Center Brunswick 38108 Germany Department of Electrical Computer Software and Systems Engineering 600 S Clyde Morris Blvd Lehman343 United States Flight Dynamics and Simulation Institute of Flight Systems Lilienthalplatz 7 Germany

The riseofmodeling and simulation has been phenomenalin aviationasa swift, accurate, and cost-effective method for experimentation and training. However, there still exists a lack of common understanding and standardized practices in the simulation scenario development process. This paper presents a detailed overview of the Aviation Scenario Definition Language, which provides a standard scenario specification mechanism in the aviation domain. The Aviation Scenario Definition Language provides a well-structured definition language to formally specify a complete flight simulation scenario. This paper provides the technical details of the Aviation Scenario Definition Language and its underlying Simulation Interoperability Standards Organization standard base object model. Acase study for unmanned aerial vehicle flight is presented to demonstrate the capabilities of the Aviation Scenario Definition Language in automatically generating simulation scenario scripts for a target flight simulator. © 2018 by the American institute of Aeronautics and Astronautics, Inc. All rights reserved.

关键词： Flight simulators

来源：评论

学校读者我要写书评

暂无评论

Learning Vehicle Surrounding-aware Lane-changing Behavior from Observed Trajectories

Learning Vehicle Surrounding-aware Lane-changing Behavior fr...

引用

IEEE Symposium on Intelligent Vehicle

作者： Shuang Su Katharina Muelling John Dolan Praveen Palanisamy Priyantha Mudalige Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA USA Robotics Institute Carnegie Mellon University Pittsburgh PA USA General Motors Company

ISBN: (纸本)9781538644539

Predicting lane-changing intentions has long been a very active area of research in the autonomous driving community. However, most of the literature has focused on individual vehicles and did not consider both the neighbor information and the accumulated effects of vehicle history trajectories when making the predictions. We propose to apply a surrounding-aware LSTM algorithm for predicting the intention of a vehicle to perform a lane change that takes advantage of both vehicle past trajectories and their neighbor's current states. We trained the model on real-world lane changing data and were able to show in simulation that these two components can lead not only to higher accuracy, but also to earlier lane-changing prediction time, which plays an important role in potentially improving the autonomous vehicle's overall performance.

关键词： Trajectory History Prediction algorithms Automobiles Training Predictive models Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Giant Valley-Zeeman splitting from spin-singlet and spin-triplet interlayer excitons in WSe2/MoSe2Heterostructure

arXiv

引用

arXiv 2019年

作者： Wang, Tianmeng Miao, Shengnan Li, Zhipeng Meng, Yuze Lu, Zhengguang Lian, Zhen Blei, Mark Taniguchi, Takashi Watanabe, Kenji Tongay, Sefaattin Smirnov, Dmitry Shi, Su-Fei Department of Chemical and Biological Engineering Rensselaer Polytechnic Institute TroyNY12180 United States National High Magnetic Field Lab TallahasseeFL32310 United States Department of Physics Florida State University TallahasseeFL32306 United States School for Engineering of Matter Transport and Energy Arizona State University TempeAZ85287 United States National Institute for Materials Science 1-1 Namiki Tsukuba305-0044 Japan Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute TroyNY12180 United States

Transition metal dichalcogenides (TMDCs) heterostructure with a type II alignment hosts unique interlayer excitons with the possibility of spin-triplet and spin-singlet states. However, the associated spectroscopy signatures remain elusive, strongly hindering the understanding of the Moiré potential modulation of the interlayer exciton. In this work, we unambiguously identify the spin-singlet and spin-triplet interlayer excitons in the WSe2/MoSe2hetero-bilayer with a 60-degree twist angle through the gate- A nd magnetic field-dependent photoluminescence spectroscopy. Both the singlet and triplet interlayer excitons show giant valley-Zeeman splitting between the K and K' valleys, a result of the large Landé g-factor of the singlet interlayer exciton and triplet interlayer exciton, which are experimentally determined to be ∼ 10.7 and ∼ 15.2, respectively, in good agreement with theoretical expectation. The PL from the singlet and triplet interlayer excitons show opposite helicities, determined by the atomic registry. Helicity-resolved photoluminescence excitation (PLE) spectroscopy study shows that both singlet and triplet interlayer excitons are highly valley-polarized at the resonant excitation, with the valley polarization of the singlet interlayer exciton approaches unity at ∼ 20 K. The highly valley-polarized singlet and triplet interlayer excitons with giant valley-Zeeman splitting inspire future applications in spintronics and valleytronics. Copyright © 2019, The Authors. All rights reserved.

关键词： Polarization

来源：评论

学校读者我要写书评

暂无评论

Visualization and Classification of Diseases using Deep Learning Based Convolution Neural Network

引用

IOP Conference Series: Materials Science and engineering 2020年第1期937卷

作者： D.A Janeera P. Amudhavalli P Sherubha S.P Sasirekha P. Anantha Christu Raj R Sitharthan Assistant Professor Sri Krishna College of Engineering and Technology Coimbatore Assistant Professor Department of Computer Applications B S AbdurRahman Crescent Institute of Science and Technology Chennai Independent Researcher Coimbatore ORCID: 0000-0002-5945-2402 Research Scholar Karpagam Academy of Higher Education Coimbatore Assistant Professor Robotics Engineering Karunya Institute of Technology and Sciences Coimbatore School of Electrical Engineering Vellore Institute of Technology Vellore

In the contemporary phase of big data, data visualization is one of the challenging segment of the discovery process. For a classifier, the primary goal is to identify the hidden levels of big data. The performance of classifiers depends on the feature space, number of classes and size of the data. To improve the reliability, efficiency and accuracy of the classifiers, new algorithms are required for analysis. This paper enables classification and visualization of information on diseases using a Deep Learning based Convolution Neural Network classifier. For feature selection and handling massive data in analysis of multivariate data is performed using particle swarm optimization (PSO) and principal component analysis (PCA) techniques. Real-world datasets are utilized for demonstration of the proposed learning algorithm. Deep learning classifiers are scientifically higher and offers better performance when compared to other classifiers according to the comparative study.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Neural Signatures of Motor Skill in the Resting Brain

Neural Signatures of Motor Skill in the Resting Brain

引用

IEEE International Conference on systems, Man and Cybernetics

作者： Ozan Özdenizci Timm Meyer Felix Wichmann Jan Peters Bernhard Schölkopf Müjdat Çetin Moritz Grosse-Wentrup Department of Electrical and Computer Engineering Northeastern University Boston MA United States Max Planck Institute for Intelligent Systems Tübingen Germany Faculty of Science University of Tübingen and Bernstein Center for Computational Neuroscience Tübingen Tübingen Germany FG Intelligente Autonome Systeme Technische Universität Darmstadt Darmstadt Germany Signal Processing and Information Systems Laboratory Faculty of Engineering and Natural Sciences Sabanci University Istanbul Turkey

Stroke-induced disturbances of large-scale cortical networks are known to be associated with the extent of motor deficits. We argue that identifying brain networks representative of motor behavior in the resting brain would provide significant insights for current neurorehabilitation approaches. Particularly, we aim to investigate the global configuration of brain rhythms and their relation to motor skill, instead of learning performance as broadly studied. We empirically approach this problem by conducting a three-dimensional physical space visuomotor learning experiment during electroencephalographic (EEG) data recordings with thirty-seven healthy participants. We demonstrate that across-subjects variations in average movement smoothness as the quantified measure of subjects' motor skills can be predicted from the global configuration of resting-state EEG alpha-rhythms (8-14 Hz) recorded prior to the experiment. Importantly, this neural signature of motor skill was found to be orthogonal to (independent of) task-as well as to learning-related changes in alpha-rhythms, which we interpret as an organizing principle of the brain. We argue that disturbances of such configurations in the brain may contribute to motor deficits in stroke, and that reconfiguring stroke patients' brain rhythms by neurofeedback may enhance post-stroke neurorehabilitation.

关键词： Electroencephalography End effectors Task analysis Integrated circuits Stroke (medical condition) Planning Visualization

来源：评论

学校读者我要写书评

暂无评论

Dynamic Human Gait VGRF Reference Profile Generation via Extreme Learning Machine

Dynamic Human Gait VGRF Reference Profile Generation via Ext...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Alexandra Vieira Bernardete Ribeiro Heloísa Sobral A. Paulo Coimbra Manuel Crisóstomo João P. Ferreira Tao Liu Dept. of Informatics Engineering CISUC Univ. of Coimbra Coimbra Portugal Dept. of Electrical and Computer Eng. Institute of Systems and Robotics Univ. of Coimbra Coimbra Portugal Dept. of Electrical Eng. Superior Institute of Eng. of Coimbra Institute of Systems and RoboticsUniv. of Coimbra Coimbra Portugal State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical Engineering Zhejiang University Hangzhou China

Vertical Ground Reaction Forces (VGRF) reference profiles of human gait are important in medicine, for the recognition of gait disorders and in the assessment of rehabilitation treatments. A walking human is a dynamic varying system and in spite of the VGRF reference dependence on several patient's variables, doctors traditionally use the same static reference for all patients. The purpose of this study is to find out if an Extreme Learning Machine (ELM) is adequate to generate the dynamic VGRF reference profiles of healthy people depending on the subject's age, weight, height and stride duration. The ELM is compared with two other baseline Computational Intelligence (CI) methods, the Backpropagation Neural Network (BNN) and Multioutput Support Vector Regression (MSVR). Data from 28 healthy males walking at five different stride durations, collected using instrumented shoes, were used to train and test the CI models. The results showed that ELM is a well suited method to generate the dynamic VGRF reference profile for both dominant and non-dominant limbs, showing the lowest root mean square errors for the test set, 0.0201 and 0.0243 (fraction of body weight) for the dominant and non-dominant limbs respectively. This study reveals a promising methodology that can be implemented in real time gait analysis, allowing doctors to find a specific reference gait pattern for the gait analysis of an unhealthy person by specifying the age, weight, height and stride duration.

关键词： Training Biological neural networks Support vector machines Neurons Backpropagation Legged locomotion Adaptation models

来源：评论

学校读者我要写书评

暂无评论

Massive access for future wireless communication systems

arXiv

引用

arXiv 2019年

作者： Wu, Yongpeng Gao, Xiqi Zhou, Shidong Yang, Wei Polyanskiy, Yury Caire, Giuseppe Department of Electronic Engineering Shanghai Jiao Tong University Minhang200240 China National Mobile Communications Research Laboratory Southeast University Nanjing210096 China Department of Electronic Engineering Tsinghua University Beijing100084 China Qualcomm Research Qualcomm Technologies Inc. San DiegoCA92121 United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology 77 Massachusetts Avenue CambridgeMA02139 United States Institute for Telecommunication Systems Technical University Berlin Einsteinufer 25 Berlin10587 Germany

Multiple access technology plays an important role in wireless communication in the last decades: it increases the capacity of the channel and allows different users to access the system simultaneously. However, the conventional multiple access technology, as originally designed for current human-centric wireless networks, is not scalable for future machine-centric wireless networks. Massive access (also known as "Massive-device Multiple Access", "Unsourced Massive Random Access", "Massive Connectivity", "Massive Machine-type Communication", and "Many-Access Channels") exhibits a clean break with current networks by potentially supporting millions of devices in each cellular network. The exponential growth in the number of devices requires entirely new "massive" access technologies to tackle the fundamental challenges which needs prompt attention: the fundamental framework of the communication from a massive number of bursty devices transmitting simultaneously with short packets, the low complexity and energy-efficient massive access coding and communication schemes, the effective active user detection method among a large number of potential user devices with sporadic device activity patterns, and the integration of massive access with massive MIMO and other important wireless communication technologies. This paper presents an overview for the concept of massive access wireless communication and for contemporary research on this topic. Copyright © 2019, The Authors. All rights reserved.

关键词： Wireless networks

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：