检索结果-内蒙古大学图书馆

2019 2nd International Conference on Electrical and Electronic engineering（EEE 2019）

作者： Zhi-qiang ZHU Rui-li JIA Xiao-peng YAN Ke WANG Jian HOU Science and Technology on Electromechanical Dynamic Control Laboratory School of Mechatronical Engineering Beijing Institute of Technology Beijing Jinghang Research Institute of Computing and Communication

To solve the problem of quantitative identification of the state of Duffing oscillator and determination of the critical threshold of reference amplitude, a combined weak signal detection method is proposed in this paper. The STFT statistical characteristics of Duffing oscillator in chaotic state, intermittent state and large-scale periodic state is analyzed and based on it the state identification parameter is selected to quantitatively present the state of Duffing oscillator. The step change of the number of the phase points on the boundary of circular regions in the phase plane is shown and the circular boundary counting method is proposed to determine the critical threshold. Based on above research, the algorithm of the combined weak signal detection is given, which uses Runge-Kutta algorithm to calculate the Duffing system. Simulation results show that this combined method is not only accurate at low SNR, but also robust when noise condition is variable.

关键词： Weak signal detection Duffing oscillator Circular boundary counting method State identification Determining critical value

来源：评论

学校读者我要写书评

暂无评论

An Efficiency Enhanced Graphene/n-Si Schottky Junction for Solar Cells

引用

Chinese Physics Letters 2018年第7期35卷 58-61页

作者：李刚程宏伟郭丽芳王开鹰程再军 MicroNano System Research Center College of Information and Computer & Key Lab of Advanced Transducers and Intelligent Control System of Ministry of Education Taiyuan University of Technology Taiyuan 030024 School of Optoelectronic and Communication Engineering Xiamen University of Technology Xiamen 361024

A novel and facile oxidation-induced self-doping process of graphene-silicon Schottky junction by nitric acid（HNO3） vapor is reported. The HNO3 oxidation process makes graphene p-type self-doped, and leads to a higher built-in potential and conductivity to enhance charge transfer and to suppress charge carrier recombination at the graphene-silicon Schottky junction. After the HNO3 oxidation process, the open-circuit voltage is increased from the initial value of 0.36 V to the maximum value of 0.47 V, the short-circuit current is greatly increased from 0.80μA to 7.71μA, and the ideality factor is optimized from 4.4 to 1.0. The enhancement of the performance of graphene-Si solar cells may be due to oxidation-induced p-type self-doping of graphene-Si junctions.

关键词： Graphene

来源：评论

学校读者我要写书评

暂无评论

Empirical and Comparative Study of Various Classifiers with Forecast Deformity Prone Software Models

Empirical and Comparative Study of Various Classifiers with ...

引用

International Conference on Cybernetics, Robotics and control (CRC)

作者： Maaz Rasheed Malik Liu Yining Salahuddin Shaikh School of Information Communication Engineering Guilin University of Electronic Technology Guilin China School of Control & Computer Engineering North China Electric Power University Beijing China

ISBN: (数字)9781728146201

ISBN: (纸本)9781728146218

The main principle thought of this research is to give a general outline about Deformity Prone Software Datasets Models utilizing machine learning classifiers. Deformity Prone Software Datasets Models are also classification problems so it is needed to used Classifiers and analysis the defected datasets models. The evaluation measure unit is used to evaluate the performance of defect prone model datasets. TP-Rate, F-Measure, ROC and CCI these we have used as evaluation measure unit. We have used NASA PROMISE repository Models as Forecast Deformity Prone Software Models. We have selected 17 NASA PROMISE repositories. These datasets files all are with class interests which are Defective and Non-Defective Class. In this research paper, our class interest is already fixed because we are interested in Defective Class so Defective Class is assign. A Comparative study of these classifiers utilized inside the Deformity Prone Software Models are also covered in this research. Experimental Analysis results showed that stacking is worst classifiers and cannot enhanced the efficiency and accuracy of Deformity Prone Software Datasets Models but LMT, Multiclass, Navie Bayes Updateable and Multilayer Perceptron have increased the positive accuracy of defected models and enhanced the efficiency in correctly classified instances.

关键词： Software Deformable models Computer bugs Predictive models Analytical models Classification algorithms NASA

来源：评论

学校读者我要写书评

暂无评论

Frog and Blade Based Branching Direction Detection in LiDAR Data

Frog and Blade Based Branching Direction Detection in LiDAR ...

引用

International Conference on Intelligent Transportation

作者： Ziming Guo Baigen Cai Wei Jiang Martin Lauer School of Electronic and Information Engineering Beijing Jiaotong University Beijing China Institute of Measurement and Control Systems Karlsruhe Institute of Technology Karlsruhe Germany

ISBN: (纸本)9781538670255

Train-borne localization plays an important role in future railway applications which require quick track-selective positioning. In this paper, a branching direction detection approach based on frog and blade is presented to address the ambiguity of which track is chosen when a turnout is passed. The reference positions (i.e. the tip of the blade and the tip of the frog) on turnouts are detected as well. Since track detection is the prerequisite, rail and track sections are extracted using an onboard LiDAR sensor considering features related to the rail profile and the longitudinal geometry. The relative position between the ego track and branching tracks are considered as track events, from which the branching directions are derived. The approach is evaluated with datasets collected in a railway test ground. The results demonstrate that the branching directions are detected accurately with a recall of 97.6% and a precision of 98.8%. Moreover, the proposed approach makes determination of the branching direction 22.4m and 16.4m earlier than the frog- or blade- based one does in facing and trailing directions respectively.

关键词： Rails Laser radar Blades Rail transportation measurement by laser beam Feature extraction Image edge detection

来源：评论

学校读者我要写书评

暂无评论

Prediction-based Optimal Distributed Filtering with communication Delay over Sensor Networks

Prediction-based Optimal Distributed Filtering with Communic...

引用

第三十八届中国控制会议

作者： Jun Hu Guo-Ping Liu Zidong Wang Hongxu Zhang School of Engineering University of South Wales Heilongjiang Provincial Key Laboratory of Optimization Control and Intelligent Analysis for Complex Systems Harbin University of Science and Technology CTGT center Harbin Institute of Technology Department of Computer Science Brunel University London School of Measurement and Communication Harbin University of Science and Technology

In this paper, the prediction-based distributed filtering problem is discussed for a class of time-varying stochastic systems with communication delay and different types of noises over sensor networks. The communication delay is characterized when the state estimations are transmitted between adjacent sensor nodes. In order to compensate the effects induced by the communication delay, the prediction-based idea is employed and then the active compensation estimation is provided when designing the time-varying distributed filter. In particular, both the prediction-based state estimation and its own innovation measurements are utilized in terms of the concerned sensor networks under given topological structure. Subsequently, a locally minimum upper bound of the filtering error covariance is given by determining the filter gain at each time step. Finally, the validity and advantages of the presented prediction-based distributed filtering method are illustrated by some simulations.

关键词： Time-varying stochastic systems Sensor networks Optimal distributed filtering communication delay Prediction compensation

来源：评论

学校读者我要写书评

暂无评论

Observer-Based Adaptive Multi-dimensional Taylor Network control for Nonlinear Systems with Time-Delay

Observer-Based Adaptive Multi-dimensional Taylor Network Con...

引用

Data Driven control and Learning Systems (DDCLS)

作者： Lei Chu Shuhua Zhang Mingxin Wang Shanliang Zhu Yuqun Han School of Mathematics and Physics Qingdao University of Science and Technology Qingdao P. R. China The Research Institute for Mathematics and Interdisciplinary Sciences Qingdao University of Science and Technology Qingdao China College of Electromechanical Engineering Qingdao University of Science and Technology Qingdao P. R. China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing P. R. China

ISBN: (数字)9781728159225

ISBN: (纸本)9781728159232

In this paper, an observer-based adaptive Multi-dimensional Taylor network (MTN) controller is proposed for strictly feedback nonlinear systems with time-delay and unmeasurable states. MTNs are utilized to approximate the unknown and desired control input signals directly instead of the unknown nonlinear functions. Moreover, a linear state observer is designed for estimating the unmeasured states. Based on the backstepping technique, a novel adaptive MTN control strategy with simple structure and good real time property is proposed. The designed controller can guarantee all the signals of the closed-loop system are bounded and the tracking error converges to a small neighborhood of the origin. Simulation results are given to demonstrate the effectiveness of the proposed method.

关键词： Nonlinear systems Backstepping Observers Closed loop systems Artificial neural networks Adaptive control Stability analysis

来源：评论

学校读者我要写书评

暂无评论

Research of Image Recognition and Classification Based on NIN Model 2

Research of Image Recognition and Classification Based on NI...

引用

2018 2nd International Conference on Computer Graphics and Digital Image Processing, CGDIP 2018

作者： Mengxi, Liu Yongfeng, Ju Jiuxu, Song Zheng, Wang Shaanxi Key Laboratory of Measurement and Control Technology for Oil and Gas Wells Xi'an China School of Electronic and Control Engineering Chang'An University Xi'an China

Focus on the weak feature expression ability of traditional Convolution Neural Network (CNN) in image recognition and classification, the CNN has been improved and optimized by introduction of Mlpconv layer to form a Network in Network (NIN). The NIN enhances feature extraction and abstract expression of the local patch;get better performance of the image recognition. The experiments of weld image recognition and classification show that the optimized CNN can improve the feature expression ability of the whole network by reducing the number of parameters, obtain higher recognition and classification precision, and avoid the fitting of the network model effectively. The CNN achieve improvement in both performance and efficiency. © Published under licence by IOP Publishing Ltd.

关键词： Image recognition

来源：评论

学校读者我要写书评

暂无评论

Efficient MedSAMs: Segment Anything in Medical Images on Laptop

arXiv

引用

arXiv 2024年

作者： Ma, Jun Li, Feifei Kim, Sumin Asakereh, Reza Le, Bao-Hiep Nguyen-Vu, Dang-Khoa Pfefferle, Alexander Wei, Muxin Gao, Ruochen Lyu, Donghang Yang, Songxiao Purucker, Lennart Marinov, Zdravko Staring, Marius Lu, Haisheng Dao, Thuy Thanh Ye, Xincheng Li, Zhi Brugnara, Gianluca Vollmuth, Philipp Foltyn-Dumitru, Martha Cho, Jaeyoung Mahmutoglu, Mustafa Ahmed Bendszus, Martin Pflüger, Irada Rastogi, Aditya Ni, Dong Yang, Xin Zhou, Guang-Quan Wang, Kaini Heller, Nicholas Papanikolopoulos, Nikolaos Weight, Christopher Tong, Yubing Udupa, Jayaram K. Patrick, Cahill J. Wang, Yaqi Zhang, Yifan Contijoch, Francisco McVeigh, Elliot Ye, Xin He, Shucheng Haase, Robert Pinetz, Thomas Radbruch, Alexander Krause, Inga Kobler, Erich He, Jian Tang, Yucheng Yang, Haichun Huo, Yuankai Luo, Gongning Kushibar, Kaisar Amankulov, Jandos Toleshbayev, Dias Mukhamejan, Amangeldi Egger, Jan Pepe, Antonio Gsaxner, Christina Luijten, Gijs Fujita, Shohei Kikuchi, Tomohiro Wiestler, Benedikt Kirschke, Jan S. de la Rosa, Ezequiel Bolelli, Federico Lumetti, Luca Grana, Costantino Xie, Kunpeng Wu, Guomin Puladi, Behrus Martín-Isla, Carlos Lekadir, Karim Campello, Victor M. Shao, Wei Brisbane, Wayne Jiang, Hongxu Wei, Hao Yuan, Wu Li, Shuangle Zhou, Yuyin Wang, Bo AI Collaborative Centre University Health Network Department of Laboratory Medicine and Pathobiology University of Toronto Vector Institute Toronto Canada Peter Munk Cardiac Centre University Health Network Toronto Canada Toronto General Hospital Research Institute University Health Network Department of Computer Science University of Toronto University Health Network Vector Institute Toronto Canada University of Science Vietnam National University Ho Chi Minh City Viet Nam Institute of Computer Science University of Freiburg Freiburg Germany School of Medicine and Health Harbin Institute of Technology Harbin China Division of Image Processing Department of Radiology Leiden University Medical Center Leiden Netherlands Department of System and Control Engineering School of Engineering Institute of Science Tokyo Formerly Tokyo Institute of Technology Tokyo Japan Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology Karlsruhe Germany School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China School of Electrical Engineering and Computer Science University of Queensland Brisbane Australia School of Cyberspace Hangzhou Dianzi University Hangzhou China Division for Computational Radiology and Clinical AI The Department of Neuroradiology University Hospital Bonn Germany Division for Computational Radiology and Clinical AI The Department of Neuroradiology University Hospital Bonn Germany Department of Neuroradiology Heidelberg University Hospital Heidelberg Germany Division for Computational Radiology and Clinical AI Department of Neuroradiology University Hospital Bonn Germany School of Biomedical Engineering Shenzhen University Shenzhen China School of Biological Science and Medical Engineering Southeast University Nanjing China Department of Urology Cleveland Clinic Cleveland United States Department of Computer Science University of Minnesota Minneapolis United St

Promptable segmentation foundation models have emerged as a transformative approach to addressing the diverse needs in medical images, but most existing models require expensive computing, posing a big barrier to their adoption in clinical practice. In this work, we organized the first international competition dedicated to promptable medical image segmentation, featuring a large-scale dataset spanning nine common imaging modalities from over 20 different institutions. The top teams developed lightweight segmentation foundation models and implemented an efficient inference pipeline that substantially reduced computational requirements while maintaining state-of-the-art segmentation accuracy. Moreover, the post-challenge phase advanced the algorithms through the design of performance booster and reproducibility tasks, resulting in improved algorithms and validated reproducibility of the winning solution. Furthermore, the best-performing algorithms have been incorporated into the open-source software with a user-friendly interface to facilitate clinical adoption. The data and code are publicly available to foster the further development of medical image segmentation foundation models and pave the way for impactful real-world applications. © 2024, CC BY-NC-SA.

关键词： Open source software

来源：评论

学校读者我要写书评

暂无评论

Limitations on sharing bell nonlocality between sequential pairs of observers

arXiv

引用

arXiv 2021年

作者： Cheng, Shuming Liu, Lijun Baker, Travis J. Hall, Michael J.W. The Department of Control Science and Engineering Tongji University Shanghai201804 China Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai201804 China Institute for Advanced Study Tongji University Shanghai200092 China College of Mathematics and Computer Science Shanxi Normal University Linfen041000 China Centre for Quantum Computation and Communication Technology Australian Research Council Centre for Quantum Dynamics Griffith University BrisbaneQLD4111 Australia Department of Theoretical Physics Research School of Physics Australian National University CanberraACT0200 Australia

We give strong analytic and numerical evidence that, under mild measurement assumptions, two qubits cannot both be recycled to generate Bell nonlocality between multiple independent observers on each side. This is surprising, as under the same assumptions it is possible to recycle just one of the qubits an arbitrarily large number of times [P. J. Brown and R. Colbeck, Phys. Rev. Lett. 125, 090401 (2020)]. We derive corresponding 'one-sided monogamy relations' that rule out two-sided recycling for a wide range of parameters, based on a general tradeoff relation between the strengths and maximum reversibilities of qubit measurements. We also show if the assumptions are relaxed to allow sufficiently biased measurement selections, then there is a narrow range of measurement strengths that allows two-sided recycling for two observers on each side, and propose an experimental test. Our methods may be readily applied to other types of quantum correlations, such as steering and entanglement, and hence to general information protocols involving sequential measurements. Copyright © 2021, The Authors. All rights reserved.

关键词： Recycling

来源：评论

学校读者我要写书评

暂无评论

Electrochemical parameters of aluminum oxide film in situ during anodization of aluminum by white light-optical interferometry

Electrochemical parameters of aluminum oxide film in situ du...

引用

Corrosion Conference and Expo 2019

作者： Habib, Khaled Mohammad, Waleed Karim, Farzia Dutta, Joydeep Materials Science and Photo-Electronics Lab RE program EBR Center KIS R P.O.Box 24885 Safat13109 Kuwait Center of Research in Optoelectronics Communication and Control System School of Engineering Bangkok University Pathum Thani12120 Thailand Center of Excellent in Nanotechnology School of Engineering and Technology Asian Institute of Technology Pathum Thani12120 Thailand Functional Materials division KTH Royal Institute of Technology Isafjordsgatan 22 Stockholm Sweden

Both of Fabry-Pérot interferometry and the DC electrochemical method have been simultaneously used for the first time to measure in situ the anodic current density (J) of aluminum oxide films in 0,2,4,5,6,8 and 10% sulfuric acid solutions (H2SO4). The calculated values of J by Fabry-Pérot interferometry were verified by the DC electrochemical method, i.e., a potentiostat, and the AC electrochemical method, i.e., a potentiostat with an accessory of AC impedance spectroscopy (EIS). The corresponding thickness (d) of the aluminum oxide (Al2O3) film to the anodic current density was determined by Fabry-Pérot interferometry under a potentiostatic condition of 9 V with respect to the open circuit potential of the aluminum samples in the H2SO4 solutions, for 90 minutes. Then, the obtained d of the Al2O3 films by Fabry-Pérot interferometry was verified by scanning electron microscopy (SEM) and compared to d values that were obtained by the EIS. The calculated J by Fabry-Pérot interferometry was found in agreement with those of the DC electrochemical method. In contrast, the calculated J by Fabry-Pérot interferometry was found in a 3 fold discrepancy with data obtained by the EIS. © 2019 by NACE International.

关键词： Aluminum oxide

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：