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

1,967 篇 会议
92 篇 期刊文献
28 册 图书
7 篇 学位论文

馆藏范围

2,094 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

1,445 篇 工学
- 934 篇 计算机科学与技术...
- 555 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
- 110 篇 仪器科学与技术
- 93 篇 航空宇航科学与技...
- 66 篇 机械工程
- 59 篇 电子科学与技术（可...
- 45 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
654 篇 理学
- 464 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

394 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

2,063 篇 英文
15 篇 其他
13 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 2094 条记录，以下是171-180 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：

Path Optimization Method Under UAV Charging Scheduling Network 24th

Path Optimization Method Under UAV Charging Scheduling Netwo...

引用

24th International conference on algorithms and architectures for Parallel Processing, ICA3PP 2024

作者： Yang, Tingting Wang, Yiqian Zhu, Jie Chang, Shuyu Huang, Haiping Nanjing University of Posts and Telecommunications Nanjing210003 China State Key Laboratory Chinese of Computer Architecture Institute of Computing Technology Academy of Sciences Beijing100864 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing210003 China

ISBN: (纸本)9789819615278

Unmanned Aerial Vehicles (UAVs) have emerged as integral components in logistics systems, where their potential for efficient delivery services is being explored. However, the limited battery capacity of UAVs poses a significant challenge for long-distance delivery applications. In this paper, we investigate a hybrid problem involving UAV trajectory planning and charging scheduling for long-distance logistics systems with a charging network. In the problem under study, multiple UAVs are assigned long-distance delivery tasks. A UAV can stop at any charging station in the charging network to charge if it is in a low-energy state. An Ant Colony Optimization-based UAV Trajectory Planning and Charging Scheduling (ACO-TPCS) algorithm is proposed to minimize task completion time by optimizing UAV trajectory and charging plans. The main framework of the ACO-TPCS algorithm consists of several key components, including reachable graph construction, candidate flight path generation, pheromone matrix construction, ant generation, feasible solution generation, and pheromone update method. All these components are delicately designed. Through extensive experimentation and comparison with baseline algorithms, we demonstrate the effectiveness of the ACO-TPCS algorithm in addressing the problem under study. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Ant colony optimization

来源：评论

学校读者我要写书评

暂无评论

EMG-based Wrong Posture Detection System using Raspberry Pi and Cloud-based Visualization

EMG-based Wrong Posture Detection System using Raspberry Pi ...

引用

Computing and Data Science (ICCDS), International conference on

作者： C.S. Manikandababu J.K. Ishvarya M Hiroshith JSP Arun Aakarshan Department of ECE Sri Ramakrishna Engineering College Coimbatore Tamil Nadu

ISBN: (数字)9798350365337

ISBN: (纸本)9798350365344

Human-computer interaction experts investigate posture detection with cutting-edge methodologies and electromyography (EMG) signals. This study presents an innovative system that provides users with real-time feedback via cloud visualization, electromyography (EMG) sensors, and a Raspberry Pi. To obtain more comprehensive data, sensor fusion methods integrate gyroscopes and accelerometers, while state-of-the-art machine learning algorithms are employed to improve the precision of posture detection. The proposed approach provides a precise and nonintrusive substitute for incorrect posture recognition to avoid the shortcomings of current technologies. The report emphasizes sensor integration, pattern recognition, and classification algorithms as critical elements in enhancing the system's dependability. In addition to strategically placed accelerometers, the methodology incorporates a deep learning framework of LSTM. Subsequent investigations should concentrate on developing real-time processing algorithms and exploring alternative sensor modalities to obtain more comprehensive data, given the promising practical applications of posture detection systems.

关键词： Accelerometers Cloud computing Machine learning algorithms Data visualization sensor fusion Electromyography sensor systems

来源：评论

学校读者我要写书评

暂无评论

Acuity: Creating Realistic Digital Twins Through Multi-resolution Pointcloud Processing and Audiovisual sensor fusion 23

Acuity: Creating Realistic Digital Twins Through Multi-resol...

引用

8th ACM/IEEE International conference on Internet of Things Design and Implementation (IoTDI)

作者： Wu, Jason Wang, Ziqi Sarker, Ankur Srivastava, Mani Univ Calif Los Angeles Elect & Comp Engn Dept Los Angeles CA 90095 USA

ISBN: (纸本)9798400700378

As augmented and virtual reality (AR/VR) technology matures, a method is desired to represent real-world persons visually and aurally in a virtual scene with high fidelity to craft an immersive and realistic user experience. Current technologies leverage camera and depth sensors to render visual representations of subjects through avatars, and microphone arrays are employed to localize and separate high-quality subject audio through beamforming. However, challenges remain in both realms. In the visual domain, avatars can only map key features (e.g., pose, expression) to a predetermined model, rendering them incapable of capturing the subjects' full details. Alternatively, high-resolution point clouds can be utilized to represent human subjects. However, such three-dimensional data is computationally expensive to process. In the realm of audio, sound source separation requires prior knowledge of the subjects' locations. However, it may take unacceptably long for sound source localization algorithms to provide this knowledge, which can still be error-prone, especially with moving objects. These challenges make it difficult for AR systems to produce real-time, high-fidelity representations of human subjects for applications such as AR/VR conferencing that mandate negligible system latency. We present Acuity, a real-time system capable of creating high-fidelity representations of human subjects in a virtual scene both visually and aurally. Acuity isolates subjects from high-resolution input point clouds. It reduces the processing overhead by performing background subtraction at a coarse resolution, then applying the detected bounding boxes to fine-grained point clouds. Meanwhile, Acuity leverages an audiovisual sensor fusion approach to expedite sound source separation. The estimated object location in the visual domain guides the acoustic pipeline to isolate the subjects' voices without running sound source localization. Our results demonstrate that Acuity can isolate

关键词： Real time systems

来源：评论

学校读者我要写书评

暂无评论

Robust sensor fusion algorithms for IoT

Robust Sensor Fusion Algorithms for IoT

引用

Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), International conference on

作者： Sakthitharan Subramanian Gandrakoti Lokeshwari S. Jagadeesan S. Leela V. G Pratheep Murugesan Venkatasudhahar Department of Computational Intelligence Faculty of Engineering and Technology SRM Institute of Science and Technology School of Computing Chennai Tamil Nadu India Department of Cybersecurity Geethanjali College of Engineering and Technology Hyderabad Telangana India Department of Computer Science and Engineering Nandha Engineering college(Autonomous) Erode Tamil Nadu India Department of Computer Science and Business Systems Sri Eshwar College of Engineering Coimbatore Tamil Nadu India Department of Mechatronics Engineering Kongu Engineering College Perundurai Tamil Nadu India Department of Mechanical Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai Tamil Nadu India

ISBN: (数字)9798331543624

ISBN: (纸本)9798331543631

sensor fusion is a critical component of the IoT ecosystem, as it combines a variety of data streams from multiple sensors to enhance the accuracy, reliability, and real-time decision-making. This research concentrates on the development of robust sensor fusion algorithms that are capable of effectively managing the heterogeneity, noise, and uncertainty that are inherent in data from Internet of Things (IoT) sensors. Our primary focus is on the ability of these algorithmic methodologies to manage data from multi-modal sensors. We investigate algorithms that are based on deep learning, Bayesian inference, and Kalman filtering. The proposed solutions aim to improve the performance of systems in sectors that are influenced by the Internet of Things (IoT), including healthcare, smart cities, industrial automation, and autonomous cars. This investigation investigates the scalability, energy efficiency, and computational burden of the Internet of Things (IoT) in the context of limited resources. Through simulations and practical applications, we demonstrate the enhancement of data precision, defect tolerance, and overall system dependability by these robust sensor fusion techniques.

关键词： Deep learning Uncertainty Smart cities sensor fusion Inference algorithms Bayes methods Internet of Things Reliability Kalman filters Streams

来源：评论

学校读者我要写书评

暂无评论

Model-fusion-based sustainable trust assessment method 23

Model-fusion-based sustainable trust assessment method

引用

23rd IEEE International conference on High Performance Computing and Communications, 7th IEEE International conference on Data Science and Systems, 19th IEEE International conference on Smart City and 7th IEEE International conference on Dependability in sensor, Cloud and Big Data Systems and applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Zhang, Liang Fang, Yuan Sheng, Jianqiao Xu, Jingxuan Ding, Xin Center of Cloud Platform Operation and Network Security State Grid Anhui Electric Power Co. Ltd. Information and Communication Branch Hefei China

ISBN: (纸本)9781665494571

Power mobile Internet plays an important role in the development of smartcity. There is a large amount of interactive information in power mobile applications, and the trust in individuals can be judged by analyzing these behaviors and texts. Traditional trust evaluation methods cannot achieve accurate and reliable trust evaluation. This paper proposes a sustainable trust evaluation method under the zero-trust architecture. First, according to the data generated by the user's operation in the mobile application, the sentiment analysis of the user's text interaction information is carried out to establish a more reasonable trust evaluation model. Secondly, classic clustering algorithms and residual networks are used to learn the collected data. When the learning accuracy is stable, the algorithm can predict the trustworthiness of subsequent behaviors. Finally, when predicting future data, loading the previously trained model can achieve sustainability. Experimental simulation shows that the trust evaluation model and algorithm can effectively judge whether the user's operation is trustworthy within a period, and achieve a more reasonable and efficient sustainable trust evaluation. © 2021 IEEE.

关键词： Training Analytical models Sentiment analysis Clustering algorithms Prediction algorithms Feature extraction Mobile applications

来源：评论

学校读者我要写书评

暂无评论

International conference on Power Engineering and Intelligent Systems, PEIS 2023

International Conference on Power Engineering and Intelligen...

引用

International conference on Power Engineering and Intelligent Systems, PEIS 2023

ISBN: (纸本)9789819972159

The proceedings contain 32 papers. The special focus in this conference is on Power Engineering and Intelligent Systems. The topics include: Design and Implementation of Seven-Level Reduced Switch Count Multilevel Inverter for Electric Vehicle applications;ultrasound Image Classification and Follicle Segmentation for the Diagnosis of Polycystic Ovary Syndrome;Twitter Data Analysis Using BERT and Graph-Based Convolution Neural Network;a Topology for Reactive Power Compensation in Grid System Using a Low-Cost Thyristor Switched Capacitor Scheme;An Automated Two-Stage Brain Tumour Diagnosis System Using SVM and Geodesic Distance-Based Colour Segmentation;assessment of Online Teaching Using Statistical and Unsupervised Learning Methods;an Image-Based Automated Model for Plant Disease Detection Using Wavelet;Computer Vision Assisted Bird–Eye Chilli Classification Framework Using YOLO V5 Object Detection Model;an Effective Grid Connected Multi Level Inverter Based Hybrid Wind and Solar Energy;detecting Obfuscated Malware Using Graph Neural Networks;a Comprehensive Analysis of Autism Spectrum Disorder Using Machine Learning algorithms: Survey;energy-Efficient Cluster Head Election and Data Aggregation Ensemble Machine Learning Algorithm;Multi-sensor Data fusion for Early Fire Estimation Using ML Techniques;design and Analysis of Solar Cell Coplanar Antenna for Wireless applications;open Permissioned Blockchain Solution for Private Equity Funding Using a Global, Cross-Cloud Network Blockchain Platform;the Challenge of Recognizing Artificial Intelligence as Legal Inventor: Implications and Analysis of Patent Laws;comparative Analysis of Imbalanced Malware Byteplot Image Classification Using Transfer Learning;recommender Systems for Personalized Business Marketing: Employing Artificial Intelligence and Business Intelligence in Machine Learning Techniques;blockchain Technology for Secure Smart Grid Access Control.

关键词：

来源：评论

学校读者我要写书评

暂无评论

International conference on Power Engineering and Intelligent Systems, PEIS 2023

International Conference on Power Engineering and Intelligen...

引用

International conference on Power Engineering and Intelligent Systems, PEIS 2023

ISBN: (纸本)9789819973828

关键词：

来源：评论

学校读者我要写书评

暂无评论

Hybrid Intelligent fusion-Based Perspectives for WSN-IOT

Hybrid Intelligent Fusion-Based Perspectives for WSN-IOT

引用

2023 IEEE International conference on Network, Multimedia and Information Technology, NMITCON 2023

作者： Rao, Manjula Gururaj Kumar Reddy, K Hemant Kumar, ChSree Priyanka, H. Pawar, Sumathi Nmam Institute of Technology Nitte Karkala India Vit Ap University Department of Computer Science and Engineering Karkala India Department of Computer Science Nist Berhampur India Computer Science and Engineering Pesu Bengaluru India

ISBN: (纸本)9798350300826

Currently, numerous applications in modern life incorporate IoT (Internet of Things). The fundamental principle of IoT involves connecting various devices to the internet to access information. Among these devices are sensor nodes (SN) that utilize Wireless sensor Networks (WSN) for internet connectivity. The SN's battery life will steadily decrease as it is communicating with the BS (Base Station). Several methods are suggested to lengthen the lifespan of the SNs. By using a hybrid technique that separates the entire WSN network into clusters and leverages the cluster head (CH) to cut down on communication between the IOT devices. The suggested hybrid model focuses on managing the WSN-IOT energy efficiently. The system enhances its energy efficiency during communication, which includes inter-cluster communication, intra-cluster communication, and communication with the BS. The proposed model utilizes M-LEACH, M-CS, and M-PSO algorithms in distinct stages. The network is divided into three levels: The first level concentrates on inter-cluster formation and CH selection using the M-LEACH. In the second stage, M-CS facilitates communication between multiple CHs and the BS. Finally, the M-PSO algorithm is employed based on the threshold of CH nodes for improved outcomes. © 2023 IEEE.

关键词： sensor nodes

来源：评论

学校读者我要写书评

暂无评论

Evaluation of a Wireless sensor Network for the Detection of Forest Fires 2

Evaluation of a Wireless Sensor Network for the Detection of...

引用

2nd International conference on Edge Computing and applications, ICECAA 2023

作者： Anuradha, T. Suganya, A. Muthalagu, R. Narender, M. Jose Anand, A. Kcg College of Technology Department of Electrical and Electronics Engineering Chennai600097 India Tagore Engineering College Department of It Kancheepuram District Tamilnadu Rathinamangalam600127 India Agni College of Technology Department of Electronics and Communication Engineering Tamil Nadu Chennai600130 India Tkr College of Engineering & Technology Department of Cse Hyderabad India Kcg College of Technology Department of Electronics and Communication Engineering Tamil Nadu Chennai600097 India

ISBN: (纸本)9798350347579

The objective of the study is to assess the effectiveness and reliability of the WSN in detecting forest fires accurately and providing timely alerts to the authorities. Field experiments in a forested area are conducted with controlled fire scenarios to simulate real-world fire conditions. The WSN sensors were deployed, and data from the sensors were collected and analyzed. Proposed result demonstrate that the WSN is capable of detecting forest fires with high accuracy and providing timely alerts. The sensors effectively captured changes in environmental parameters associated with fire events. Through data fusion and intelligent algorithms, the WSN system accurately differentiated between normal environmental variations and fire-related anomalies. The wireless communication capability of the network enabled real-time transmission of data to a central monitoring station, allowing for immediate analysis and decision-making. Additionally, the WSN system demonstrated robustness and fault tolerance, as it could continue functioning even if individual sensors were damaged or lost. The evaluation of the WSN for forest fire detection showed promising results, highlighting its potential as an effective tool for early fire detection and prevention. The use of such a wireless sensor network can enhance the efficiency of fire management strategies, enabling timely responses, reducing response times, and minimizing the impact of forest fires on ecosystems and communities. © 2023 IEEE.

关键词： Fires

来源：评论

学校读者我要写书评

暂无评论

Precise Indoor Positioning System for Mobile Robots via Smoothed UWB/IMU sensor fusion 13

Precise Indoor Positioning System for Mobile Robots via Smoo...

引用

13th International conference on Indoor Positioning and Indoor Navigation, IPIN 2023

作者： Elsanhoury, Mahmoud Nieminen, Jyri Valisuo, Petri Siemuri, Akpojoto Koljonen, Janne Elmusrati, Mohammed Kuusniemi, Heidi University of Vaasa Digital Economy Platform Vaasa Finland University of Vaasa Vebic Platform Digital Economy Platform Vaasa Finland University of Vaasa School of Technology and Innovations Digital Economy Platform Vaasa Finland University of Vaasa School of Technology and Innovations Vaasa Finland University of Vaasa Digital Economy Platform School of Technology and Innovations Vaasa Finland

ISBN: (纸本)9798350320114

Indoor positioning systems (IPSs) are the foundations for all indoor location-based services and applications. In this article, we present a precise and robust IPS using ultra wide-band (UWB) technology fused with an inertial measurement unit (IMU). Both technologies are integrated to account for the non-line-of-sight (NLOS) problems arising in a dense challenging environment found within an industrial laboratory in Finland. Besides the conventional estimation techniques e.g. extended Kalman filter (EKF), we employ the Rauch-Tung-Striebel (RTS) smoothing algorithm in addition to a multivariate regression-based offset compensation method to improve the overall positioning accuracy of the system. The recommended number of distributed UWB anchors versus the coverage area is also discussed and tested in this article. The experiments were held by a patrolling mobile robot with millimeter accuracy, which acted as a ground truth reference to all used algorithms. The positioning estimation results showed a superior performance by the proposed method (UWB/IMU EKF-RTS-LR) with mean accuracy of 4.7 cm, and 9.6 cm for more than 95% of the time. © 2023 IEEE.

关键词： indoor positioning system (IPS) inertial motion unit (IMU) mobile robots sensor fusion ultra-wideband (UWB)

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210页 << < 14 15 16 17 18 19 20 21 22 23 > >>

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：