检索结果-内蒙古大学图书馆

China International Electrical and Energy Conference (CIEEC)

作者： Yunus Arı Ergün Cücük Seda Karateke Electric and Electronic Engineering Institute of Graduate Studies Istanbul University - Cerrahpaşa Istanbul Turkey Department of Research and Development Ges Teknik Air Conditioning Control and Automation Systems Industry and Trade Inc. Istanbul Turkey Department of Computer Engineering Faculty of Engineering Istanbul Topkapı University Istanbul Turkey

The efficient operation of HVAC&R systems are based on keeping indoor temperature and air quality at an optimum level without disturbing comfort. Starting from this point, in this experimental research, the factors affecting the measurement accuracy during the room temperature detection of a wall mount fan coil thermostat were examined. Among the external effects, the effect of the device components on the measurement was focused and the solution of the measurement deviations occurred in this extent was investigated. Based on the experiments, the algorithm that must be applied to reach the optimum temperature measurement of a room thermostat developed for Fan Coil systems was proposed.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Robust Static Feature Extraction in Dynamic Scenes: An Advanced RGBD Visual SLAM Framework Leveraging YOLOv9

Robust Static Feature Extraction in Dynamic Scenes: An Advan...

引用

2025 2nd International Conference on Algorithms, Software engineering and Network Security (ASENS)

作者： Bo Wang Sen Zhang Qifeng Jiang Lu Lu Zongren Chen Computer Engineering Technical College (Artificial Intelligence College) Guangdong Polytechnic of Science and Technology Zhuhai China School of Automation Harbin University of Science and Technology Harbin China Faculty of Science and Technology Beijing Normal University Hong Kong Baptist University United International College Zhuhai China

ISBN: (数字)9798331520298

ISBN: (纸本)9798331520304

Dynamic elements in dynamic environment are important factors that affect the localization accuracy of visual Simultaneous Localization and Mapping (vSLAM), and may even lead to tracking failures. To address this issue, we propose an enhanced dense visual SLAM method specifically designed for dynamic environments. The whole framework of our approach is based on ORB-SLAM2, while integrating the YOLOv9 network to detect dynamic objects. By transmitting the detection results of YOLOv9 to the SLAM module, dynamic feature elements are then removed from the dense map construction thread. Finally, the dense map that only contains static information is created. The experimental results show that the filtering of dynamic objects not only can reduce the average root mean square error (RMSE), but also help and then improve the robustness of the SLAM system in dynamic environment.

关键词： Point cloud compression Visualization Simultaneous localization and mapping Accuracy Three-dimensional displays Target tracking Target recognition Heuristic algorithms Feature extraction Software engineering

来源：评论

学校读者我要写书评

暂无评论

Multi-Domains Personalized Local Differential Privacy Frequency Estimation Mechanism for Utility Optimization

SSRN

引用

SSRN 2024年

作者： Li, Yunfei Fu, Xiaodong Liu, Li Ding, Jiaman Peng, Wei Jia, Lianyin Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming650500 China Graduate School Yunnan University of Finance and Economics Kunming650221 China Yunnan Provincial Key Laboratory of Computer Technology Application Kunming University of Science and Technology Kunming650500 China

Local Differential Privacy (LDP) has garnered considerable attention in recent years because it does not rely on trusted third parties and has low interactivity and high operational efficiency. However, current LDP frequency estimation mechanisms aggregate data using different privacy budgets within the same data domain, overlooking the aggregation requirements across different data domains. This limits the potential for enhancing the data utility under fixed privacy budgets and meeting user preferences in multiple data domains and privacy budgets. To address this issue, we define a Multi-Domains Personalized Local Differential Privacy (MDPLDP) model that allows users to freely choose data domains and privacy budgets according to their privacy preferences. Furthermore, based on the MDPLDP model, two new frequency estimation mechanisms are proposed: MDPLDP-Generalized Randomized Response and MDPLDP-basic Randomized Aggregatable Privacy-Preserving Ordinal Response. These mechanisms support cross-domains data aggregation and optimize data utility by adjusting the data domains and increasing privacy budgets. Theoretical analysis reveals that these new mechanisms have lower estimation errors than the traditional LDP mechanisms. Experiments on real and synthetic datasets demonstrate that the proposed mechanisms effectively reduce estimation errors and enhance the utility of data-frequency estimation. © 2024, The Authors. All rights reserved.

关键词： Frequency estimation

来源：评论

学校读者我要写书评

暂无评论

Multi-Virtual-Vector-Based Predictive Current Control for Fault-Tolerant Inverter-Fed Dual Three-Phase Permanent Magnet Synchronous Machines

Multi-Virtual-Vector-Based Predictive Current Control for Fa...

引用

Workshop on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)

作者： Ze Li Jinhui Xia Xiaonan Gao Jose Rodriguez Yuanbo Guo Xiaohua Zhang College of Electronic and Information Engineering Hebei University Baoding China School of Automation Southeast University Nanjing China School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden Faculty of Engineering Universidad San Sebastian Santiag Chile School of Electrical Engineering Dalian University of Technology Dalian China

Dual three-phase permanent magnet synchronous machine (DTP-PMSM) has received extensive interests due to its inherent fault-tolerant capability. However, conventional single-virtual-vector-based predictive current control (SVV-PCC) for DTP-PMSM with open-phase fault (OPF) presents poor steady-state performance and high computational burden. To address these issues, a multi-virtual-vector-based PCC (MVV-PCC) for DTP-PMSM with OPF is proposed in this paper. Therein, two virtual vectors and one zero vector with optimal duty cycles are determined in each sampling period to improve the steady-state performance. A simplification strategy for selecting the optimal virtual vectors and calculating the optimal duty cycles is established to reduce the computational burden in digital implementation. Extensive comparisons are conducted to verify the effectiveness of the proposed MVV-PCC scheme.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Intelligent Control for Wind Turbines Connected to Utility Grid using MPC

Intelligent Control for Wind Turbines Connected to Utility G...

引用

International Middle-East Power System Conference, MEPCON

作者： Mostafa Al-Gabalawy Mohamed M. M. Salama Ibrahim A. Abdel-Sattar Mohamed M. F. Darwish Department of Electronic Communication and Computer Engineering El-Safwa High Institute of Engineering Cairo Egypt Department of Electrical Engineering Faculty of Engineering at Shoubra Benha University Cairo Egypt Department of Electrical Engineering and Automation Aalto University Espoo Finland

ISBN: (纸本)9781665463645

Traditional methods for controlling wind turbines often rely on accurate modelling techniques to ensure reliable and productive interaction between the wind farms and the primary electricity grids in both grid-connected and autonomous modes. Additionally, because of the unpredictable and irregular wind speed, its natural output power behaves significantly erratically. Furthermore, to avoid the negative effects of excessive fluctuation in wind turbine output power in the wind farm besides the power grid, it is essential to properly estimate, plan, and manage the wind farm output power. In addition, the transmission of the control signal can leave a gap between itself and the wind energy conversion systems (WECS) due to the communication channels' time delay, which makes the WECS operation unstable. Specifically, when running over the permitted wind speed, wind energy conversion devices frequently pitch, which reduces the mechanical power to the rated level at the price of the blade, and drives shaft loads. In this regard, this paper suggests an intelligent control system for the synchronous generator wind turbines using the model predictive controller (MPC). The results highlighted the suggested controller's greater performance against changes in wind speed rather than PI controller. Further, the coordination of pitch/torque sharing depend on the analysis performed, both generator power output quality, in addition load circumstances are maximized in a variable-weight MPC technique.

关键词： Torque Wind speed Wind farms Predictive models Generators Synchronous generators Wind turbines

来源：评论

学校读者我要写书评

暂无评论

Lower Extremity Exoskeleton Simulation Model with Variable Stiffness Actuation for Vertical Locomotion 3

Lower Extremity Exoskeleton Simulation Model with Variable S...

引用

3rd International Conference on Control Systems, Mathematical Modeling, automation and Energy Efficiency, SUMMA 2021

作者： Kondratyev, Sergey Cruypeninck, Lennert Tsareva, Anastasia Lipetsk State Technical University Automation and Computer Science Faculty Lipetsk Russia Katholieke Universiteit Leuven Department of Mechanical Engineering Leuven Belgium ITMO University International Research Center SCAMT Saint-Petersburg Russia

ISBN: (纸本)9781665439817

This paper proposes a lower extremity exoskeleton simulation model for more effective control in vertical locomotion when patients need to move from static seating configuration to walking-ready configuration. Variable impedance actuators (VIA) or variable stiffness actuators (VSA) are considered as the primary source of generating and translating controlled torque values with elastic compliance properties to movement elements of a discussed system using PID control with dynamic compensation. The model-applied torque can be divided into two torques, one about gravity compensation and another about acceleration. The simulink environment with simscape library was used to create a simulation process of the working mechanism. Data on angles, torques, and velocities were obtained and considered for correctness in natural human locomotion. Calculations provide upper limit for the required torque to stand up, which can be used as a basis to select a proper actuator. © 2021 IEEE.

关键词： Actuators

来源：评论

学校读者我要写书评

暂无评论

Discrete-time Formation Control With Attitude Alignment: A Geometric Approach under Ergodic Products

引用

IEEE Transactions on Control of Network Systems 2025年

作者： Li, Zhen Tang, Yang Zhang, Wenbing Fan, Yongqing Huang, Tingwen Xi-an University of Posts and Telecommunications School of Automation Xian710121 China East China University of Science and Technology Key Laboratory of Smart Manufacturing in Energy Chemical Process Shanghai200237 China Yangzhou University Department of Mathematics Jiangsu225002 China Shenzhen University of Advanced Technology Faculty of Computer Science and Control Engineering Shenzhen518055 China

Assuming agents possess sensing capabilities and dynamics relative to their body coordinate frames, this paper addresses a displacement-based strategy for discrete-time formation control through attitude synchronization. Unlike the Eulerian approximation, the first challenge lies in developing discrete-time models that capture both position and attitude motions, thereby complementing existing continuous-time systems with a discretized version. Then, two leader-following control protocols are designed, incorporating a jointly-connected topology to relax the connectivity requirements. The analysis of these systems often relies on the Lyapunov function, the existence of which may be hard to guarantee. Consequently, geometric properties of several polytopes are explored under the dynamic topologies and time-varying parameters. By extending the ergodicity results to leader-following scenarios, these properties are characterized as positively invariant sets. This invariance, which is independent of the existence of the Lyapunov function or the solvability of its associated criteria, provides a beneficial tool for analyzing time-variant systems. Utilizing this invariance and some mathematical techniques, the desired formation shape can be achieved in the cases where the attitudes of the followers synchronize with the leader. Finally, a numerical simulation validates the results. © 2014 IEEE.

关键词： Lyapunov functions

来源：评论

学校读者我要写书评

暂无评论

DGLNet: A Cross-Modal Global-Local Collaborative Network for Chest Radiology Report Generation

SSRN

引用

SSRN 2022年

作者： Liu, Lijun Wang, Lizhen Liu, Li Peng, Wei Fu, Xiaodong Huang, Qingsong Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming650500 China Department of Computer Science and Engineering School of Information Science and Engineering Yunnan University Kunming650228 China Yunnan Key Laboratory of Computer Technologies Application Kunming650500 China

Automatic chest radiology report generation is crucial for improving diagnostic efficiency, enhancing diagnostic quality, and reducing misdiagnoses or missed diagnoses. Existing approaches either resize the high-resolution radiology image into smaller sizes or segment it into multiple patches for separate processing, which may lose fine local details or global contextual information, and the accuracy of report generation will be limited. In addition, the direct fusion of visual features with sentence features reduces the accuracy of aligning fine-grained visual features with text features. In this paper, we focus on designing a cross-modal global-local collaborative network to capture more local fine details and global contextual information, which comprises a global-to-local network and a local-to-global network that takes the resized entire image and segmented image patches as respective inputs. The former handles the extraction of global visual features, the fusion of global and local visual features, and the fusion of visual features into report sentences. The latter implements the extraction of local visual features, the fusion of local to global visual features, and the fusion of visual features to report words. Experimental results on two publicly available datasets, IU X-Ray and MIMIC-CXR, show that our proposed network outperforms state-of-the-art image captioning-based methods in most evaluation metrics. © 2022, The Authors. All rights reserved.

关键词： Extraction

来源：评论

学校读者我要写书评

暂无评论

Attention Predictions Related to Cinematic Montage Using Biometric Markers with Application in ADHD Disorder

Attention Predictions Related to Cinematic Montage Using Bio...

引用

E-Health and Bioengineering Conference (EHB)

作者： Emanuela Motrescu Oana Geman “Babes Bolyai” University Cluj Romania Department of Electronic Computers and Automation NeuroaestheticsLab Faculty of Electric Engineering and Computer Science “Stefan cel Mare” University Suceava Romania

ISBN: (数字)9781665485579

ISBN: (纸本)9781665485586

The following case study targets the live deconstruction of a visual experience correlating attention-related body sensations that emerge with external visual stimuli resulting the improvement of attention. The attention deficit and hyperactivity disorder (ADHD) is one of the most common mental health disorders among children. It includes symptoms such as difficulty paying attention, hyperactivity and impulsive behavior. The disease appears before age of seven and lasts till adulthood. In contrast with traditional treatment (medication) our work focuses on the usage of biometric marker such as heart rate variability, applied in recovery through other treatments such as art therapy based on cinematic language techniques. We will be able to create a database that can be used to forecast pathologies within the autism spectrum and ADHD using various machine learning algorithm, by expanding the pilot project and including more participants.

关键词： Training Visualization Pediatrics Pathology Autism Art Machine learning algorithms

来源：评论

学校读者我要写书评

暂无评论

DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing

DeepRicci: Self-supervised Graph Structure-Feature Co-Refine...

引用

IEEE International Conference on Data Mining (ICDM)

作者： Li Sun Zhenhao Huang Hua Wu Junda Ye Hao Peng Zhengtao Yu Philip S. Yu School of Control and Computer Engineering North China Electric Power University Beijing China School of Computer Science Beijing University of Posts and Telecommunications Beijing China State Key Laboratory of Software Development Environment Beihang University Beijing China Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming China Department of Computer Science University of Illinois at Chicago IL USA

Graph Neural Networks (GNNs) have shown great power for learning and mining on graphs, and Graph Structure Learning (GSL) plays an important role in boosting GNNs with a refined graph. In the literature, most GSL solutions either primarily focus on structure refinement with task-specific supervision (i.e., node classification), or overlook the inherent weakness of GNNs themselves (e.g., over-squashing), resulting in suboptimal performance despite sophisticated designs. In light of these limitations, we propose to study self-supervised graph structure-feature co-refinement for effectively alleviating the issue of over-squashing in typical GNNs. In this paper, we take a fundamentally different perspective of the Ricci curvature in Riemannian geometry, in which we encounter the challenges of modeling, utilizing and computing Ricci curvature. To tackle these challenges, we present a self-supervised Riemannian model, DeepRicci. Specifically, we introduce a latent Riemannian space of heterogeneous curvatures to model various Ricci curvatures, and propose a gyrovector feature mapping to utilize Ricci curvature for typical GNNs. Thereafter, we refine node features by geometric contrastive learning among different geometric views, and simultaneously refine graph structure by backward Ricci flow based on a novel formulation of differentiable Ricci curvature. Finally, extensive experiments on public datasets show the superiority of DeepRicci, and the connection between backward Ricci flow and over-squashing. Codes of our work are given in https://***/RiemanGraph/.

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：