检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

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

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

1,966 篇 会议
90 篇 期刊文献
17 册 图书
7 篇 学位论文

馆藏范围

2,080 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

1,442 篇 工学
- 933 篇 计算机科学与技术...
- 554 篇 电气工程
- 323 篇 软件工程
- 298 篇 信息与通信工程
- 245 篇 控制科学与工程
- 126 篇 测绘科学与技术
- 109 篇 仪器科学与技术
- 93 篇 航空宇航科学与技...
- 65 篇 机械工程
- 59 篇 电子科学与技术（可...
- 44 篇 光学工程
- 30 篇 生物医学工程（可授...
- 29 篇 土木工程
- 28 篇 建筑学
- 28 篇 交通运输工程
- 26 篇 安全科学与工程
- 25 篇 动力工程及工程热...
- 22 篇 材料科学与工程（可...
- 14 篇 生物工程
653 篇 理学
- 463 篇 物理学
- 134 篇 数学
- 56 篇 系统科学
- 47 篇 统计学（可授理学、...
- 22 篇 生物学
- 14 篇 化学
229 篇 医学
- 224 篇 临床医学
- 13 篇 基础医学(可授医学...
128 篇 管理学
- 91 篇 管理科学与工程(可...
- 53 篇 图书情报与档案管...
- 29 篇 工商管理
13 篇 军事学
8 篇 经济学
6 篇 农学
4 篇 法学
4 篇 文学
2 篇 教育学
1 篇 艺术学

主题

393 篇 sensor fusion
176 篇 data fusion
146 篇 wireless sensor ...
118 篇 sensor data fusi...
102 篇 sensors
91 篇 image fusion
82 篇 target tracking
75 篇 information fusi...
70 篇 sensor systems
58 篇 sensor phenomena...
58 篇 signal processin...
52 篇 neural networks
52 篇 cameras
51 篇 clustering algor...
47 篇 monitoring
47 篇 sensor networks
46 篇 surveillance
45 篇 feature extracti...
44 篇 image processing
43 篇 robot sensing sy...

机构

10 篇 syracuse univ de...
6 篇 usn res lab wash...
5 篇 university of ca...
5 篇 penn state univ ...
5 篇 fordham univ rob...
4 篇 univ liverpool d...
4 篇 21st century sys...
4 篇 wright state uni...
4 篇 school of logist...
4 篇 nova res inc ale...
4 篇 drexel univ dept...
3 篇 clemson univ dep...
3 篇 syracuse univ sy...
3 篇 univ porto fac e...
3 篇 villanova univ c...
3 篇 xidian univ sch ...
3 篇 battelle mem ins...
3 篇 naval res lab wa...
3 篇 warsaw univ tech...
3 篇 univ calif los a...

作者

14 篇 blasch erik
11 篇 varshney pk
9 篇 lyons damian m.
9 篇 solaiman b
8 篇 bosse eloi
7 篇 hall david l.
7 篇 hanebeck uwe d.
6 篇 dasarathy bv
6 篇 goebel k
6 篇 dasarathy belur ...
6 篇 aarabi p
5 篇 nicholson d
5 篇 nelson bn
5 篇 llinas j
5 篇 shirkhodaie amir
5 篇 valin pierre
5 篇 graham jacob l.
5 篇 petrovic v
5 篇 rimland jeffrey ...
4 篇 hickman duncan l...

语言

2,050 篇 英文
15 篇 其他
12 篇 中文
3 篇 土耳其文

检索条件"任意字段=Conference on Sensor Fusion - Architectures, Algorithms, and Applications"

共 2080 条记录，以下是141-150 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Research on Signal Processing and sensor fusion Technology in Electrical Engineering Automation

Research on Signal Processing and Sensor Fusion Technology i...

引用

IEEE International conference on Civil Aviation Safety and Information Technology (ICCASIT)

作者： Rong Chen Zhenjiang Vocational Technical College Zhenjiang China

ISBN: (数字)9798350389418

ISBN: (纸本)9798350389425

This study introduces an electrical measurement system grounded in multi-sensor fusion. Through the incorporation of information fusion techniques and parallel computing strategies, the system achieves reconstruction and optimization. The system is designed with a dynamic clustering algorithm that effectively merges data from various sensors, thereby enhancing both the precision and real-time performance of the measurements. To validate the system’s effectiveness, this paper conducts simulations and carries out detailed data analysis of the simulation outcomes. The findings demonstrate that the proposed sensor fusion approach substantially increases the measurement accuracy of the electrical measurement system while maintaining robust stability in challenging environments. Furthermore, the system’s parallel computing capabilities notably boost processing efficiency, reducing the time required for data handling. These outcomes indicate that the signal processing and sensor fusion technologies explored in this research hold significant potential for applications in electrical engineering automation, offering a solid theoretical foundation and technical support for future engineering implementations.

关键词： Electrical engineering Automation Heuristic algorithms Computational modeling Electric variables measurement Signal processing algorithms Clustering algorithms sensor fusion Signal processing Parallel processing

来源：评论

学校读者我要写书评

暂无评论

Combining Deep Learning Techniques for Enhanced Human Activity Recognition: A Hybrid CNN-LSTM fusion Approach 2

Combining Deep Learning Techniques for Enhanced Human Activi...

引用

2nd IEEE International conference on Contemporary Computing and Communications, InC4 2024

作者： Prabu, M. Rupesh Naidu, M. Asif, P. Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Amrita School of Computing Chennai India

ISBN: (数字)9798350383652

ISBN: (纸本)9798350383652

Over recent years conventional pattern recognition pattern recognition techniques have advanced significantly. Nonetheless, these methods heavily depend on manual feature extraction, potentially limiting the overall performance and generalizability of the model. Given the rising prominence and efficiency of deep learning approaches, there has been a growing interest in leveraging these methods for human action recognition in mobile and wearable computing contexts. Despite this enthusiasm, existing deep learning architectures may not fully capitalize on the complex spatio-temprial patterns inherent in human actions. Moreover, deploying deep learning models in real-world scenarios often demands robustness, efficiency, and interpretability, which remain significant challenges. To address these issues, this paper proposes a novel approach: a deep neural network that integrates convolutional layers with long short-term memory(LSTM) units. By fusing the strengths of CNNs in spatial feature extraction with the temporal modelling capabilities of LSTMs, our hybrid architecture aims to enhance the accuracy and robustness of human activity recognition systems. This fusion enables the model to automatically learn hierarchical representations from data, eliminating the need for manual feature engineering. The approach holds, eliminating the need for manual feature engineering. The approach holds promise for applications in healthcare, sports analysis and assistive technology, where accurate and reliable HAR is essential. Overall, The proposed model achieves accuracy of 80% and 92% on the UCF50 dataset, a comprehensive video dataset, utilizing the CNN and LSTM models individually, respectively. These findings indicate that our hybrid model exhibits superior robustness and enhanced activity detection capabilities compared to certain previously reported results of only sensor data, surpassing an 90% accuracy threshold when trained on video-based data. Notably, the model demonstrate

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Application of Inventive Design Methodology for a sensor fusion Approach in Structure-from-Motion (SfM) applications 1

Application of Inventive Design Methodology for a Sensor Fus...

引用

1st International conference on Information System and Information Technology, ICISIT 2022

作者： Schmidt, Antonius Aufderheide, Dominik Faculty of Electrical Engineering Soest Germany

ISBN: (数字)9781665402002

ISBN: (纸本)9781665402002

Generating three-dimensional models from real world objects based on images from a single camera is an important application in computer vision and numerous possible applications. For this Structure-from-Motion (SfM) algorithms provide an approach based on the successful tracking of 2D feature points throughout an image sequence and the subsequent camera egomotion estimation and a global 3D structure recovery. However, the performance of those approaches is still limited according their precision, denseness and completeness of the reconstructed scene model. This paper introduces an approach based on Inventive Design Methodology (IDM) for the systematic analysis of existing SfM approaches and a subsequent derivation of a novel sensor fusion approach in order to overcome current application-related restrictions. © 2022 IEEE.

关键词： Three dimensional computer graphics

来源：评论

学校读者我要写书评

暂无评论

An Adaptive Robust Student's t-Based Kalman Filter Based on Multi-sensor fusion 15th

An Adaptive Robust Student's t-Based Kalman Filter Based on ...

引用

15th International conference on Intelligent Robotics and applications (ICIRA ) - Smart Robotics for Society

作者： Wang, Dapeng Zhang, Hai Huang, Hongliang Beihang Univ Sch Automat Sci & Elect Engn Beijing 100191 Peoples R China

ISBN: (纸本)9783031138225;9783031138218

In practical applications, Kalman filter and its variants such as UKF may suffer from the time-varying measurement noise and process-error. Especially, when the process-error is heavy-tailed probability distribution, the Gaussian assumption would be no longer as accurately as expected Aiming at the time-varying measurement noise and the situation with heavy-tailed process-error problems, in this paper, a new algorithm is proposed based on Student's t-distribution and multi-sensor information fusion. The robustness of the proposed algorithm is guaranteed by the timely estimation of the measurement noise, and the adaptiveness is realized by replacing the Gaussian by the Student's t-distribution. The Kullback-Leible Divergence (KLD) is used as the criterion for distinguishing the Gaussian distribution from the Student's t-distribution. Finally, a challenging target tracking example is presented and the simulation results show that the proposed algorithm achieves a higher accuracy than the other algorithms.

关键词： Adaptive Kalman filter Nonlinear filtering Robust estimation Target tracking Student's t-distribution

来源：评论

学校读者我要写书评

暂无评论

Robust Adaptive Cubature Kalman Filter for Attitude Determination in Wearable Inertial sensor Networks 17th

Robust Adaptive Cubature Kalman Filter for Attitude Determin...

引用

17th International conference on Wireless algorithms, Systems, and applications (WASA)

作者： Zhao, Hongkai Wang, Huihui Wang, Zhelong Liu, Long Qiu, Sen Dalian Univ Technol Sch Control Sci & Engn Dalian 116024 Peoples R China Dalian Univ Technol Key Lab Intelligent Control & Optimizat Ind Equip Minist Educ Dalian 116024 Peoples R China Dalian Neusoft Univ Informat Dalian 116024 Peoples R China

ISBN: (纸本)9783031192135;9783031192142

Attitude analysis and recognition can be applied in wearable computing for medical assistance, motor-function assessment and dexterous human-robot interaction. The main problems, however, are serious drift and instability during traditional motion measurement fusion methods due to the high dynamic complexity of limb movements. To the best of our knowledge, it is the first attempt to employ an adaptive robust cubature Kalman filtering algorithm in the human attitude analysis based on wearable inertial sensors with time-varying state-process noise. Experiment results show that the adaptive robust CKF algorithm based on quaternion and gyroscope error modeling proposed in this paper can solve motion attitude solution. Lastly, we compare our method with CKF and EKF algorithm, the proposed algorithm can effectively improve the precision of attitude analysis.

关键词： Cubature Kalman filter Body sensor network sensor fusion Adaptive factor Robust filter

来源：评论

学校读者我要写书评

暂无评论

Edge Computing in Wireless Sensing applications 11

Edge Computing in Wireless Sensing Applications

引用

11th Mediterranean conference on Embedded Computing (MECO) / 3rd Summer School on Cyber-Physical + Systems and Internet of Things (CPS and IoT)

作者： Santejudean, Tudor Voicu Mois, George Dan Sanislav, Teodora Folea, Silviu Corneliu Tech Univ Cluj Napoca Dept Automat Cluj Napoca Romania

ISBN: (纸本)9781665468282

Edge computing has emerged as the solution to the continuously increasing numbers of Internet-connected devices and to the ever increasing amounts of data transmitted by them. Through the use of advanced algorithms and hardware components it allows sensor data processing at the source and reduces the volumes of data transmitted within the network. This paper focuses on the idea of edge computing, looks at some of the most important achievements in the field, and presents a use case system that shows how edge intelligence is becoming more common. The developed use case system is an environmental wireless sensor that is able to run for long periods of time on a single coin-cell battery while measuring parameters like equivalent CO2 (carbon dioxide) and VOC (Volatile Organic Compounds). This was made possible through the device's design, components, and advanced firmware, that uses high-level signal processing and fusion algorithms.

关键词： Edge computing Internet-of-Things wireless sensor

来源：评论

学校读者我要写书评

暂无评论

Research on the Application of Multimodal Sensing Technology in Surveying and Mapping Data Collection

Research on the Application of Multimodal Sensing Technology...

引用

Power Electronics, Computer applications (ICPECA), IEEE International conference on

作者： Liu Bo Weng Jianying School of Architectural Engineering Shandong University of Engineering and Vocational Technology Jinan Shandong China

ISBN: (数字)9798331533694

ISBN: (纸本)9798331533700

This paper proposes an innovative CNN and RNN fusion algorithm to optimize the application of multimodal sensing technology in surveying and mapping data collection. The algorithm combines the data of multiple sensors such as lidar, RGB camera and infrared sensor, uses CNN to extract the spatial features of the image, and uses RNN to analyze the temporal relationship between different modal data, so as to achieve efficient fusion of multimodal data. Experimental results show that the proposed algorithm improves the data accuracy by about 18% in multiple surveying and mapping scenarios compared with the traditional single-modal sensor method, and the processing efficiency is improved by 15%. In addition, the algorithm shows significant robustness in complex environments, can effectively cope with the challenges brought by environmental changes, and improves the accuracy and stability of data. The research in this paper provides technical support for the development of intelligent surveying and mapping systems and promotes the popularization of multimodal data fusion algorithms in practical applications.

关键词： Deep learning Solid modeling Accuracy Multimodal sensors Data integration Data collection sensor fusion Feature extraction Stability analysis Thermal stability

来源：评论

学校读者我要写书评

暂无评论

Short Course: Architecture and Design Approaches to ML Hardware Acceleration: Edge and Mobile Environments

Short Course: Architecture and Design Approaches to ML Hardw...

引用

IEEE International conference on Solid-State Circuits (ISSCC)

作者： Marian Verhelst KU Leuven Leuven Belgium

ISBN: (数字)9798350306200

ISBN: (纸本)9798350306217

Various applications demand more and more powerful machine inference in resource-scarce distributed devices, such as phones, watches, glasses, robots or drones. To allow intelligent applications at ultra-low energy and low latency, one needs customized processor architectures optimized for extreme edge applications. This need has resulted in the creation of a wide variety of novel hardware architectures, supported by HW-algorithm co-optimization methods. This talk will zoom into ML processor architectures for the edge, as well as tools for efficient mapping of ML algorithms onto such architectures.

关键词： Tutorials Radio frequency Wireless communication Transceivers Solid state circuits Quantum computing Optical transmitters Computer architecture Wireless sensor networks Training

来源：评论

学校读者我要写书评

暂无评论

Weighted fusion of Multiple Classifiers for Human Activity Recognition 26

Weighted Fusion of Multiple Classifiers for Human Activity R...

引用

26th International conference on Information fusion, fusion 2023

作者： Zuo, Kezhu Li, Xinde Dezert, Jean Dong, Yilin Southeast University School of Cyber Science and Engineering Nanjing China Southeast University Key Laboratory of Measurement and Control of Cse School of Automation Nanjing China The French Aerospace Lab Onera DTIS/MIDL Palaiseau France Shanghai Maritime University College of Computer Science and Engineering Shanghai China

ISBN: (纸本)9798890344854

Human Activity Recognition (HAR) based on wear-able device has become a hot topic of research due to its wide range of applications in health-care, fitness and smart homes. However, the classification of some activities with similar sensor readings, such as standing and sitting, is usually more challenging for the design of efficient activity recognition algorithms. Considering the inconsistent performance of different classifiers, which can provide information complementary for individual classifier, we propose a novel multi-classifier fusion method based on belief functions (BFs) theory for HAR. Specifically, at first, four classifiers are trained using time-domain and frequency-domain features to obtain basic belief assignments (BBA) of activity, respectively. Then, three assessment criteria are utilized to evaluate the reliability of the classifiers and a scoring matrix is constructed. Next, the algorithm of Belief Function based the Technique for Order Preference by Similarity to Ideal Solution (BF-TOPSIS) is employed to calculate the weighting coefficients for each classifier. Finally, the discounting and Dempster's rules are adopted to combine the multiple classifiers and further decision making. Several experiments were conducted to illustrate the performance of the proposed method using the UCI smartphone dataset, and the results show that the proposed method is more accurate than the state-of-art methods. © 2023 International Society of Information fusion.

关键词： Frequency domain analysis

来源：评论

学校读者我要写书评

暂无评论

Distributed fusion estimator for networked multi-rate multi-sensor systems with unknown inputs

Distributed fusion estimator for networked multi-rate multi-...

引用

Fully Actuated System Theory and applications (CFASTA), conference on

作者： Qiang Liu Honglei Lin Department of Automation Heilongjiang University Harbin China

ISBN: (数字)9798350373691

ISBN: (纸本)9798350373707

This paper concerns the state estimation problem for multi-rate multi-sensor systems with unknown inputs, time delays, fading measurements, and multiplicative noise in the state equation. Firstly, the measurement delay models are converted into measurement delay free models. Subsequently, Lagrange multiplier method is used to compute the gain of the optimal local unbiased minimum variance filter which is independent of unknown input information. Based on the local filter, the estimation error cross-covariance matrices between any two estimators are derived. A distributed optimal fusion estimator is obtained by using the matrix-weighted fusion estimation algorithm. Finally, a numerical example is provided to demonstrate the effectiveness of the proposed estimation algorithms.

关键词： Fading channels Estimation error Noise Filtering algorithms Information filters Filtering theory Mathematical models

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共208页 << < 11 12 13 14 15 16 17 18 19 20 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

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：