检索结果-内蒙古大学图书馆

International Conference on Autonomous Unmanned systems, ICAUS 2021

作者： Xu, Ninghui Zhao, Jiajia Ren, Yuan Wang, Lihui Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology Ministry of Education School of Instrument Science and Engineering Southeast University Nanjing210096 China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (纸本)9789811694912

As a new type of neuromorphic sensor, the events-driven Dynamic Vision Sensor (DVS) has the advantages of low latency and wide dynamic range. The development of DVS overcomes the application limitations of traditional cameras in the field of high speed robots and autonomous driving. However, there are abundant unwanted noise events contained in the output of DVS, which severely affects the subsequent data-processing. To tackle the problem, a novel noise filter for DVS is proposed in this paper. Firstly, since the noise is composed of hot pixel events with high-frequency and random background activities, a time window is constructed to continuously detect hot pixels. Secondly, a spatiotemporal correlation-based denoising approach for each incoming event is conducted, while excluding its surrounding hot pixels, to avoid the negative effect caused by their high temporal correlation on the filter. Finally, the hot pixels are compensated with the events that are most probably to occur depending on the adjacent events, to achieve the completeness and precision of the output event stream. Experiments in different scenes demonstrate that the proposed noise filter can effectively eliminate the noise from the event stream of DVS and obviously outperforms the baseline method. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Pixels

来源：评论

学校读者我要写书评

暂无评论

A New Staining Method Using Different Targeted Fluorescent Carbon Dots For Tissue Sections Analysis and Diagnosis

SSRN

引用

SSRN 2024年

作者： Duan, Qianqian Guo, Qingxia Xi, Yanfeng Su, Hong Xue, Juanjuan Zhang, Qi Guo, Xing Han, Haixuan Zhou, Yangming Sang, Shengbo Wang, Xiaojuan Shanxi Key Laboratory of Artificial Intelligence & Micro Nano Sensors College of Integrated Circuits Taiyuan University of Technology Taiyuan030024 China Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education Taiyuan University of Technology Taiyuan030024 China Department of Pathology Shanxi Tumour Hospital Shanxi Taiyuan030024 China

Visualization imaging of tissue sections is a crucial method for pathological diagnosis of tumour. Carbon dots (CDs) targeting specific organelles have attracted a lot of attention due to their inexpensive raw materials and excellent luminescent property, and they are expected to be used for labeling of nuclei and cytoplasm in tissue sections. In this paper, nuclear targeting carbon dots (N-CDs) with green fluorescence and cytoplasmic targeting carbon dots (C-CDs) with red fluorescence were prepared to achieve co-staining imaging of tissue sections. The two CDs had good fluorescent stability, and their targeting performance and mechanism were studied by cells co-staining and digestion experiments. The section staining method with N-CDs&C-CDs were developed, which is low-cost, simple operation, and time saving. The stained tissues structure distribution were very clear and the information of nucleus and cytoplasm could be extracted. The morphology features and statistic nucleus-cytoplasmic ratio were significantly different and consistent with the results of H&E staining. Therefore, N-CDs&C-CDs are expected to be potential alternative dyes to H&E, and a new method of tissue section staining by dual channel imaging of N-CDs&C-CDs has been developed. These results provide an important research idea for exploring the morphological differences between different cells on tissue sections, quickly and more accurately identifying sections, quantifying the ratio nucleus-cytoplasmic on sections, and then improving the efficiency of clinical diagnosis. © 2024, The Authors. All rights reserved.

关键词： Fluorescence imaging

来源：评论

学校读者我要写书评

暂无评论

Accurate MTPA control Based on Ferrari Method for IPMSM with Partial Derivative Term Calculation 27

Accurate MTPA Control Based on Ferrari Method for IPMSM with...

引用

27th International Conference on Electrical Machines and systems, ICEMS 2024

作者： Li, Yiyang Gu, Xin Wang, Zhiqiang Guo, Liyan Chen, Wei Li, Xinmin Li, Chen School of Electronics and Information Engineering Tiangong University Tianjin China School of Electrical Engineering Tiangong University Tianjin China Tianjin Key Laboratory of Intelligent Control of Electrical Equipment Tianjin China National Local Joint Engineering Research Center of Electrical Machine System Design and Manufacturing China Zhejiang University Advanced Electrical Equipment Innovation Center Hangzhou China

ISBN: (纸本)9784886864406

Even if the exact motor parameters are known, the MTPA strategy cannot obtain precise maximum torque per ampere (MTPA) points under large current amplitude because the partial derivative of inductance to current is ignored in the modeling process. In view of this, the MTPA mathematical model considering the partial derivative of inductance to current is established in this paper, and the MTPA point tracking error caused by ignoring the partial derivative in the modeling process based on Ferrari method is analyzed. Then, an offline-online combined method for calculating the partial derivative term is proposed to compensate the MTPA tracking error. On this basis, an MTPA control strategy based on Ferrari method considering the partial derivative of inductance to current is proposed. Experiment to verify the feasibility and effectiveness of the proposed method. © 2024 The Institute of Electrical Engineers of Japan.

关键词： Permanent magnets

来源：评论

学校读者我要写书评

暂无评论

Variational Autoencoder Based Network Embedding Algorithm for Protein Function Prediction 2022

Variational Autoencoder Based Network Embedding Algorithm fo...

引用

14th International Conference on Machine Learning and Computing, ICMLC 2022

作者： Cao, Guansong Zhu, Yuan Yi, Ming School of Automation China University of Geosciences China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System China University of Geosciences Wuhan China School of Mathematics and Physics China University of Geosciences Wuhan China

ISBN: (纸本)9781450395700

The development of high-throughput technology has produced a large number of protein-protein interaction datasets, which provide an effective way to infer the functional annotation of proteins. However, how to make proper use of these datasets to extract effective low-dimensional feature representation of proteins for functional prediction is a challenge. Most existing network integration methods for protein function prediction have some limitations to capture complex and highly non-linear network structure information due to their design architecture. Therefore, we propose a novel multi-network embedding method deepVAE based on deep variational autoencoder (VAE), which uses the variational autoencoder to extract low-dimensional features of proteins from multiple various interactive network datasets and then trains a SVM classifier to predict protein function. Particularly, we denoise the original networks before network embedding, thus the new proposed method is called deepVAE-NE. The experiments are conducted on the yeast and human protein-protein interaction datasets and the experimental performance shows that our methods perform better than the other four compared advanced approaches, which greatly improves the accuracy of functional prediction. © 2022 ACM.

关键词： Proteins

来源：评论

学校读者我要写书评

暂无评论

Regulation of Magnetism on Fe- and Ni-Doped Sno2 (110) Surfaces by Oxygen Vacancy and Adsorbed O2 Molecule

SSRN

引用

SSRN 2022年

作者： Shi, Xiaojing Zhang, Yongjia Hao, Weidong Yang, Zhi College of Physics & Optoelectronics Key Lab. of Advanced Transducers & Intelligent Control System Ministry of Education Taiyuan University of Technology Taiyuan030024 China

We investigated the ferromagnetism of Fe- and Ni-doped SnO2 (110) surfaces and the regulation of the doped surface ferromagnetism by the oxygen vacancy and adsorbed O2 molecule. The introduction of Fe/Ni can make the nonmagnetic SnO2 (110) surface have a large magnetic moment and exhibit stable ferromagnetic coupling. The presence of oxygen vacancy weakens the surface magnetic moment and attenuates the surface ferromagnetic coupling. The adsorbed O2 molecule that fills the oxygen vacancy on the doped surface increases the magnetic moment of the defective Fe/Ni-doped SnO2 (110) surface, and has a significant effect on the magnetic coupling of the surface. © 2022, The Authors. All rights reserved.

关键词： Ferromagnetism

来源：评论

学校读者我要写书评

暂无评论

Optical encryption using structural uncorrelated characteristics of biological scattering media

引用

Optica Acta: International Journal of Optics 2023年第1期70卷 69-76页

作者： Aiping Zhai Qing Han Teng Zhang Wenjing Zhao Dong Wang a College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan People’s Republic of China a College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan People’s Republic of Chinab Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province Taiyuan University of Technology Taiyuan People’s Republic of China

ABSTRACTABSTRACTInspired by the unique internal structures with inherent anisotropy in biological tissues and their dynamic scattering characteristic, a simple and easy-to-fabricate optical encryption technique using structural uncorrelated characteristics of biological tissues was proposed. It can generate unique keys with the random characteristics of the tissues and transforms multiple image plaintexts into speckle-like ciphertexts. The optical encryptions of grayscale images are demonstrated utilizing the uncorrelated characteristics of shallot and chicken breast respectively. Ciphertext-only-attack is resisted by phase retrieval due to the inherent dynamic randomness of biological tissues and the complexity of the plaintexts. Besides, once the unique PSF keys is recorded by the optical setup, the encryption can be accomplished, either online using the setup, or offline through performing convolutions on the plaintexts with pre-recorded uncorrelated PSFs to yield ciphertexts. Therefore, it is very secure, simple, and flexible to guarantee the promising potentials for information encryption of grayscale images and/or videos.

关键词： Optical encryption structural uncorrelated characteristics biological tissues grayscale images

来源：评论

学校读者我要写书评

暂无评论

Tunable Mid-Infrared Sensing Based on Graphene-Metal Hybrid Structure

SSRN

引用

SSRN 2024年

作者： Wang, Xiaowei Chen, Zhihui Feng, Guang Wang, Yang Li, Shan Yang, Yibiao Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province College of Electronic Information and Optical Engineering Taiyuan University of Technology Taiyuan030024 China Taiyuan Institute of Technology Taiyuan030008 China Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education Institute of Biotechnology Shanxi University Taiyuan030006 China

Improving the emission efficiency of molecules or quantum dots is one of the effective means to improve the sensitivity of sensing. Here we provide a graphene-metal hybrid structure to achieve sensitivity detection in mid-infrared. The graphene-metal hybrid structure well coupling with a dipole source in mid-infrared was constructed. And then the high quality resonance peak can be detected. For different molecular detection applications, the resonance window can be controlled by geometrical parameters of metal structure in the mid-infrared range. Meanwhile the resonance wavelengths can be adjusted with graphene's chemical potential which can be controled through a varying gate voltage, and the emission enhancement ratio was 501 times on average. The hybrid structures also show excellent results in different background refractive indices. The sensitivity of the hybrid structure as a refractive index sensor reaches 6233 nm/RIU. All of our analyses show that the hybrid structure can be used as a better mid-infrared sensor. © 2024, The Authors. All rights reserved.

关键词： Graphene

来源：评论

学校读者我要写书评

暂无评论

Neural Network-Based Terminal Sliding Mode controller Design for Manipulator systems 1

引用

UNIfied Conference of International Workshop on Defence Applications of Multi-Agent systems, DAMAS 2023, International Conference on Maintenance Engineering, IncoME-V 2023, International conference on the Efficiency and Performance Engineering Network, TEPEN 2023

作者： Qu, Lufeng Fan, Qiming Kang, Yang Yang, Jun Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin300384 China School of Intelligent Manufacturing Tianjin Sino-German University of Applied Technology Tianjin300350 China School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan China

ISBN: (数字)9783031494130

ISBN: (纸本)9783031494123

In the context of nonlinear and uncertain manipulator systems, achieving fast and accurate desired trajectories for each joint of the manipulator is crucial. Our study aims to improve current control methods by combining sliding mode control and neural network techniques. Specifically, we leverage the neural networks’ approximation capabilities to estimate both the modeling error and external disturbance in our research. These estimates are then integrated into the synovial control as additional gains. This approach allows for the sliding mode controller’s switch gain to adapt to changing modeling error and external disturbance, thereby avoiding the vibration production typically associated with traditional sliding mode controllers. It can be observed from the simulation results that the combination of the proposed nonsingular terminal sliding mode controller and neural network achieves fast and precise tracking of desired trajectories. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Sliding mode control

来源：评论

学校读者我要写书评

暂无评论

Noise-induced dynamics and photon statistics in bimodal quantum-dot micropillar lasers

arXiv

引用

arXiv 2023年

作者： Guo, Yanqiang Zhang, Jianfei Guo, Xiaomin Reitzenstein, Stephan Xiao, Liantuan Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education College of Physics Taiyuan University of Technology Taiyuan030024 China State Key Laboratory of Cryptology Beijing100878 China Institut für Festkörperphysik Technical University of Berlin Hardenbergstr. 36 BerlinD-10623 Germany

Emission characteristics of quantum-dot micropillar lasers are located at the intersection of nanophotonics and nonlinear dynamics, which provides an ideal platform for studying the optical interface between classical and quantum systems. In this work, a noise-induced bimodal quantum-dot micropillar laser with orthogonal dual-mode outputs is modeled, and nonlinear dynamics, stochastic mode jumping and quantum statistics with the variation of stochastic noise intensity are investigated. Noise-induced effects lead to the emergence of two intensity bifurcation points for the strong and the weak mode, and the maximum output power of the strong mode becomes larger as the noise intensity increases. The anti-correlation of the two modes reaches the maximum at the second intensity bifurcation point. The dual-mode stochastic jumping frequency and effective bandwidth can exceed 100 GHz and 30 GHz under the noise-induced effect. Moreover, the noise-induced photon correlations of both modes simultaneously exhibit super-thermal bunching effects (g(2)(0) > 2) in the low injection current region. The g(2)(0)-value of the strong mode can reach over 6 in the high injection current region. Photon bunching (g(2)(0) > 1) of both modes is observed over a wide range of noise intensities and injection currents. In the presence of the noise-induced effect, the photon number distribution of the strong or the weak mode is a mixture of Bose-Einstein and Poisson distributions. As the noise intensity increases, the photon number distribution of the strong mode is dominated by the Bose-Einstein distribution, and the proportion of the Poisson distribution is increased in the high injection current region, while that of the weak mode is reduced. Our results contribute to the development preparation of super-bunching quantum integrated light sources for improving the spatiotemporal resolution of quantum sensing measurements and enhancing the security of optical communication. Copyright © 2023, The

关键词： Dynamics

来源：评论

学校读者我要写书评

暂无评论

Image Segmentation Based on Improved Wavelet Transform

Image Segmentation Based on Improved Wavelet Transform

引用

第35届中国控制与决策会议

作者： Guowu Zhu Lixiang Ma Bingyou Liu Pan Yang College of Electrical Engineering Anhui Polytechnic University Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment Ministry of Education Anhui Institute of Information Technology College of Electrical Engineering Anhui Polytechnic University Key Laboratory of Advanced Perception and Intelligent Control of High-End EquipmentMinistry of Education Anhui Dar Intelligent Control System Stock Co. Ltd

In order to preserve the effective information of the image and segment it better,an image segmentation method based on improved wavelet transform is ***,the image is decomposed based on wavelet transform to obtain the horizontal,vertical and diagonal information of the ***,the peak and valley points are determined by the decomposed wavelet coefficients,and the segmentation threshold is ***,the experimental results show that the improved wavelet transform segmentation method proposed in this paper has better segmentation effect than the traditional segmentation method.

关键词：

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：