检索结果-内蒙古大学图书馆

Investigating the impacts of spatial-temporal variation features of air density on assessing wind power generation and its fluctuation in China

引用

Science China(Technological Sciences) 2023年第6期66卷 1797-1814页

作者： REN GuoRui WANG Wei WAN Jie HONG Feng YANG Ke YU DaRen School of Control and Computer Engineering North China Electric Power UniversityBeijing 102206China School of Electrical Engineering and Automation Harbin Institute of TechnologyHarbin 150001China Xi’an Thermal Power Research Institute Co. Ltd.Xi’an 710054China School of Energy Science and Engineering Harbin Institute of TechnologyHarbin 150001China

Air density plays an important role in assessing wind *** density significantly fluctuates both spatially and *** literature typically used standard air density or local annual average air density to assess wind *** present study investigates the estimation errors of the potential and fluctuation of wind resource caused by neglecting the spatial-temporal variation features of air density in *** air density at 100 m height is accurately calculated by using air temperature,pressure,and *** spatial-temporal variation features of air density are firstly *** the wind power generation is modeled based on a 1.5 MW wind turbine model by using the actual air density,standard air densityρst,and local annual average air densityρsite,***ρstoverestimates the annual wind energy production(AEP)in 93.6%of the study *** significantly affects AEP in central and southern China *** more than 75%of the study area,the winter to summer differences in AEP are underestimated,but the intra-day peak-valley differences and fluctuation rate of wind power are ***ρsitesignificantly reduces the estimation error in *** AEP is still overestimated(0-8.6%)in summer and underestimated(0-11.2%)in *** for southwest China,it is hard to reduce the estimation errors of winter to summer differences in AEP by usingρ***ρsitedistinctly reduces the estimation errors of intra-day peak-valley differences and fluctuation rate of wind power,but these estimation errors cannot be ignored as *** impacts of air density on assessing wind resource are almost independent of the wind turbine types.

关键词： air density spatial-temporal variation power curve wind resource assessment fluctuation ERA-5

来源：评论

学校读者我要写书评

暂无评论

Utilizing chaos game representation for enhanced classification of SARS-CoV-2 variants with stacked sparse autoencoders

引用

Neural Computing and Applications 2024年第31期36卷 19823-19837页

作者： Coutinho, Maria G. F. Câmara, Gabriel B. M. Barbosa, Raquel de M. Fernandes, Marcelo A. C. RN Natal59078-900 Brazil UFRN RN Natal59078-900 Brazil Department of Pharmacy and Pharmaceutical Technology University of Seville Seville41012 Spain Department of Computer and Automation Engineering UFRN RN Natal59078-900 Brazil

Since the beginning of the COVID-19 pandemic, the World Health Organization (WHO) has been tracking SARS-CoV-2 mutations. The SARS-CoV-2 consistently mutated throughout the pandemic, which resulted in many variants. A variant is a viral genome containing one or more genetic code mutations. Deep learning techniques have been successfully used in many viral classification problems associated with viral infection diagnosis, metagenomics, phylogenetics, and analysis. This work proposed an effective viral genome classifier for SARS-CoV-2 variants using the deep neural network based on the stacked sparse autoencoder (SSAE). Aiming to achieve the best performance of the model, we explored the utilization of image representations of the complete genome sequences as the SSAE input. The dataset based on Chaos Game Representation (CGR) images was generated and applied to the experiments of classification of SARS-CoV-2 variants of concern (VOC). The SSAE technique provided great performance results, achieving classification accuracy of 99.9% for the validation set and 99.8% for the test set. Finally, the results indicated the relevance of using this deep learning technique in genome classification problems. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Coronavirus

来源：评论

学校读者我要写书评

暂无评论

Increasing the Spatial Resolution of Digital Holograms Based on the Fourier Transform

Increasing the Spatial Resolution of Digital Holograms Based...

引用

2022 IEEE International Multi-Conference on engineering, computer and Information Sciences, SIBIRCON 2022

作者： Guzhov, Vladimir I. Ilinykh, Sergey P. Novosibirsk State Technical University Faculty of Automation and Computer Engineering Novosibirsk Russia

ISBN: (纸本)9781665464802

The paper considers possible methods of increasing spatial resolution in digital holographic microscopy. A new original approach to increase the spatial resolution of digital holograms obtained in optical-electronic interference measuring systems is proposed. The approach is based on forming a "mosaic"consisting of a set of digital holograms with low spatial resolution. Image reconstruction of an object is obtained by Fourier transformation of such a synthesized digital hologram. A method for forming a digital hologram with high spatial resolution is shown by increasing the spatial resolution of a digital hologram with low spatial resolution by a factor of two horizontally. The optical scheme and design of a digital microscope that implements the proposed approach are shown. The results of practical application of the proposed approach are presented. It is shown that a synthesized digital hologram with high spatial resolution completely reconstructs an image of an object without diffraction limitations inherent in holograms with low spatial resolution. The number of digital holograms with low resolution required to form a digital hologram with high spatial resolution is determined as a product of scale factors in the horizontal and vertical directions. The proposed approach can be easily adapted to arbitrary values of scale coefficients of original holograms. © 2022 IEEE.

关键词： Holograms

来源：评论

学校读者我要写书评

暂无评论

A Combination of Soft Attention-aided CNN Models using Dempster-Shafer Theory for Skin Cancer Classification

A Combination of Soft Attention-aided CNN Models using Demp...

引用

International Conference on Current Problems of Applied Mathematics and computer Systems, CPAMCS 2023

作者： Sarkar, Sujan Ray, Amartya Kaplun, Dmitrii Sarkar, Ram Department of Computer Science and Engineering Jadavpur University Kolkata India Department of Automation and Control Processes Saint Petersburg Electrotechnical University "LETI" Saint Petersburg Russia

ISBN: (纸本)9783031640094

Skin cancer is one of the most deadly forms of cancer in the world, causing hundreds of deaths every year. Researchers have been developing various computer-aided diagnosis (CAD) systems to help medical professionals classify the types of skin cancer using different image modalities. In this paper, we propose a model, which combines the outcomes of three separately trained attention-based convolutional neural networks (CNNs) using the Dempster-Shafer theory. The three base learners used in this paper are ResNet50, InceptionResNetV2 and Dense-Net201, each of which is aided by a soft attention module. For evaluating the proposed model, we have considered a publicly accessible skin cancer dataset, called HAM10000. This is a challenging dataset to work with as it is a class imbalanced dataset. Our proposed approach yields an accuracy of 0.932, which is better than many recently published methods found in the literature. The source code is available at: https://***/Cmatermedicalimageanalysis/DST_Combination © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Design of a Control System for Stabilizing the Angular Position of Platforms on a Movable Base 3

Design of a Control System for Stabilizing the Angular Posit...

引用

3rd IEEE International Conference on Problems of Informatics, Electronics and Radio engineering, PIERE 2024

作者： Van Tam, Bui Yurkevich, Valery D. Vietnam Naval Academy Missile and Gunnery Faculty Nha Trang Viet Nam Novosibirsk State Technical University Automation and Computer Engineering Faculty Novosibirsk Russia

ISBN: (纸本)9798331516321

The problem of a control system design is discussed to provide an angular position platform stabilization. The platform is used to install various navigation equipment and communication devices. Stabilization of the platform's angular position eliminates the influence of vibrations of the platform's moving base on the operation of this equipment. The platform is equipped with an electrohydraulic drive, which ensures the horizontal position of the platform under conditions of vibrations of the vessel deck. The control system is designed in such a way that fast and slow processes are created in a closedloop system. The discussed approach to control system design allows to provide stability and robustness for position of the platform under vibrations of the vessel deck. The effect of the small parameters of the electrohydraulic drive on control system stability is treated. The selection of the controller parameters is carried out by additionally taking into account the sensitivity function, which reflects the influence of wave disturbances on the angular position of the platform. © 2024 IEEE.

关键词： Hydraulic drives

来源：评论

学校读者我要写书评

暂无评论

The Large Language Models on Biomedical Data Analysis: A Survey

引用

IEEE Journal of Biomedical and Health Informatics 2025年第6期29卷 4486-4497页

作者： Lan, Wei Tang, Zhentao Liu, Mingyang Chen, Qingfeng Peng, Wei Chen, Yiping Phoebe Pan, Yi Guangxi University School of Computer Electronic and Information Nanning530004 China Kunming University of Science and Technology Faculty of Information Engineering and Automation Kunming650500 China La Trobe University Department of Computer Science and Information Technology MelbourneVIC3086 Australia Chinese Academy of Sciences Shenzhen Institute of Advanced Technology Shenzhen518055 China

With the rapid development of Large Language Model (LLM) technology, it has become an indispensable force in biomedical data analysis research. However, biomedical researchers currently have limited knowledge about LLM. Therefore, there is an urgent need for a summary of LLM applications in biomedical data analysis. Herein, we propose this review by summarizing the latest research work on LLM in biomedicine. In this review, LLM techniques are first outlined. We then discuss biomedical datasets and frameworks for biomedical data analysis, followed by a detailed analysis of LLM applications in genomics, proteomics, transcriptomics, radiomics, single-cell analysis, medical texts and drug discovery. Finally, the challenges of LLM in biomedical data analysis are discussed. In summary, this review is intended for researchers interested in LLM technology and aims to help them understand and apply LLM in biomedical data analysis research. © 2013 IEEE.

关键词： Data consistency

来源：评论

学校读者我要写书评

暂无评论

An Improved Method for Approximating the Infinite-Horizon Value Function of the Discrete-Time Switched LQR Problem

引用

Journal of Systems Science & Complexity 2024年第1期37卷 22-39页

作者： HOU Tan LI Yuanlong LIN Zongli Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai 200240China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai 200240China Charles L.Brown Department of Electrical and Computer Engineering University of VirginiaCharlottesvilleVA 22904-4743USA

This paper considers the problem of approximating the infinite-horizon value function of the discrete-time switched LQR *** particular,the authors propose a new value iteration method to generate a sequence of monotonically decreasing functions that converges exponentially to the value *** method facilitates us to use coarse approximations resulting from faster but less accurate algorithms for further value iteration,and thus,the proposed approach is capable of achieving a better approximation for a given computation time compared with the existing *** numerical examples are presented in this paper to illustrate the effectiveness of the proposed method.

关键词： Optimal control switched linear systems switched LQR problem.

来源：评论

学校读者我要写书评

暂无评论

Secure Channel Estimation Using Norm Estimation Model for 5G Next Generation Wireless Networks

引用

computers, Materials & Continua 2025年第1期82卷 1151-1169页

作者： Khalil Ullah Song Jian Muhammad Naeem Ul Hassan Suliman Khan Mohammad Babar Arshad Ahmad Shafiq Ahmad Faculty of Information Engineering and Automation Kunming University of Science and TechnologyKunming650500China Department of Computer Science Abbottabad University of Science and TechnologyHavelianAbbottabad22500Pakistan Department of Computing and Electronics Engineering Middle East CollegeMuscat124Oman Department of CS&IT Pak-Austria Fachhochschule Institute of Applied Sciences and Technology MangHaripur22621Pakistan Industrial Engineering Department College of EngineeringKing Saud UniversityRiyadh11421Saudi Arabia

The emergence of next generation networks(NextG),including 5G and beyond,is reshaping the technological landscape of cellular and mobile *** networks are sufficiently scaled to interconnect billions of users and *** in academia and industry are focusing on technological advancements to achieve highspeed transmission,cell planning,and latency reduction to facilitate emerging applications such as virtual reality,the metaverse,smart cities,smart health,and autonomous *** continuously improves its network functionality to support these *** input multiple output(MIMO)technology offers spectral efficiency,dependability,and overall performance in *** article proposes a secure channel estimation technique in MIMO topology using a norm-estimation model to provide comprehensive insights into protecting NextG network components against adversarial *** technique aims to create long-lasting and secure NextG networks using this extended *** viability of MIMO applications and modern AI-driven methodologies to combat cybersecurity threats are explored in this ***,the proposed model demonstrates high performance in terms of reliability and accuracy,with a 20%reduction in the MalOut-RealOut-Diff metric compared to existing state-of-the-art techniques.

关键词： Next generation networks massive mimo communication network artificial intelligence 5G adversarial attacks channel estimation information security

来源：评论

学校读者我要写书评

暂无评论

Point Cloud Classification Using Content-Based Transformer via Clustering in Feature Space

引用

IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 231-239页

作者： Yahui Liu Bin Tian Yisheng Lv Lingxi Li Fei-Yue Wang the State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 the School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100190 IEEE the Transportation and Autonomous Systems Institute(TASI)and the Department of Electrical and Computer Engineering Purdue School of Engineering and TechnologyIndiana University-Purdue University Indianapolis(IUPUI)Indianapolis 46202 USA

Recently, there have been some attempts of Transformer in 3D point cloud classification. In order to reduce computations, most existing methods focus on local spatial attention,but ignore their content and fail to establish relationships between distant but relevant points. To overcome the limitation of local spatial attention, we propose a point content-based Transformer architecture, called PointConT for short. It exploits the locality of points in the feature space(content-based), which clusters the sampled points with similar features into the same class and computes the self-attention within each class, thus enabling an effective trade-off between capturing long-range dependencies and computational complexity. We further introduce an inception feature aggregator for point cloud classification, which uses parallel structures to aggregate high-frequency and low-frequency information in each branch separately. Extensive experiments show that our PointConT model achieves a remarkable performance on point cloud shape classification. Especially, our method exhibits 90.3% Top-1 accuracy on the hardest setting of ScanObjectN N. Source code of this paper is available at https://***/yahuiliu99/PointC onT.

关键词： Content-based Transformer deep learning feature aggregator local attention point cloud classification

来源：评论

学校读者我要写书评

暂无评论

Toward Safe Human-Robot Interaction: More Efficient Safety Monitoring Technology For Robotic Arms 5

Toward Safe Human-Robot Interaction: More Efficient Safety M...

引用

5th World Robot Conference Symposium on Advanced Robotics and automation, WRC SARA 2023

作者： Gong, Zihang Liu, Zhaowei Su, Hang Yantai University School of Computer and Control Engineering Yantai264005 China Guandong Univerisity of Technology School of Automation Guangzhou China

ISBN: (纸本)9798350307320

Presently, advanced humanoid robotic arms have the ability to work independently, and although most current research can make the robotic arm react appropriately and autonomously to the changing environment, it cannot completely prevent the robotic arm from reacting incorrectly due to a variety of uncontrollable factors;therefore, it is necessary to detect the overall posture of the operating robotic arm. In this paper, we propose a more effective vision fusion-based robot safety monitoring method that can detect the robot arm's posture change in real time, thereby significantly enhancing the safety of the robot arm at work. The visual fusion method utilized in this paper enables faster and more stable skeleton visualization tracking of the robot arm's motion, and at the same time, more accurate skeleton information extraction of the robot arm in three-dimensional space, which increases the accuracy of detecting the bending angle of each joint under each posture of the robot arm. The research experiment demonstrates that the method proposed in this paper has a positive effect on monitoring the robotic arm in real time. © 2023 IEEE.

关键词： Robotic arms

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：