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

10,155 篇 会议
404 篇 期刊文献
55 册 图书
14 篇 学位论文
5 件 标准

馆藏范围

10,633 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

5,443 篇 工学
- 3,489 篇 计算机科学与技术...
- 2,194 篇 信息与通信工程
- 1,747 篇 电气工程
- 1,493 篇 软件工程
- 948 篇 控制科学与工程
- 580 篇 仪器科学与技术
- 537 篇 机械工程
- 390 篇 电子科学与技术（可...
- 366 篇 动力工程及工程热...
- 310 篇 测绘科学与技术
- 202 篇 交通运输工程
- 180 篇 生物工程
- 146 篇 建筑学
- 143 篇 材料科学与工程（可...
- 141 篇 生物医学工程（可授...
- 135 篇 土木工程
- 123 篇 安全科学与工程
- 104 篇 环境科学与工程（可...
- 101 篇 化学工程与技术
1,412 篇 理学
- 496 篇 物理学
- 490 篇 数学
- 246 篇 生物学
- 187 篇 系统科学
- 162 篇 统计学（可授理学、...
- 152 篇 化学
845 篇 管理学
- 641 篇 管理科学与工程(可...
- 256 篇 图书情报与档案管...
- 220 篇 工商管理
269 篇 医学
- 242 篇 临床医学
- 115 篇 基础医学(可授医学...
83 篇 经济学
75 篇 农学
55 篇 法学
43 篇 军事学
37 篇 文学
18 篇 教育学
8 篇 艺术学

主题

3,780 篇 wireless sensor ...
1,730 篇 intelligent sens...
1,052 篇 sensors
925 篇 sensor systems
798 篇 monitoring
754 篇 wireless communi...
645 篇 sensor phenomena...
606 篇 intelligent netw...
455 篇 temperature sens...
432 篇 neural networks
388 篇 energy consumpti...
376 篇 signal processin...
318 篇 routing
310 篇 internet of thin...
293 篇 sensor networks
252 篇 target tracking
252 篇 sensor fusion
246 篇 protocols
226 篇 cameras
223 篇 robot sensing sy...

机构

24 篇 department of co...
17 篇 univ melbourne d...
16 篇 school of electr...
16 篇 king mongkut's u...
15 篇 maharishi school...
15 篇 university of ph...
14 篇 school of inform...
14 篇 school of comput...
13 篇 school of electr...
13 篇 school of inform...
11 篇 institute for in...
11 篇 department of ma...
10 篇 centre of resear...
10 篇 syracuse univ de...
10 篇 national institu...
9 篇 department of co...
9 篇 college of infor...
9 篇 beijing key labo...
9 篇 college of infor...
9 篇 ieee

作者

27 篇 sakorn mekruksav...
27 篇 anuchit jitpatta...
23 篇 palaniswami mari...
23 篇 mekruksavanich s...
21 篇 jitpattanakul an...
15 篇 leckie christoph...
15 篇 huadong ma
14 篇 wang wei
13 篇 varshney pramod ...
13 篇 leonard barolli
13 篇 rajasegarar suth...
13 篇 barolli leonard
12 篇 liang liu
12 篇 elmazi donald
12 篇 yang yang
12 篇 hanebeck uwe d.
12 篇 uwe d. hanebeck
11 篇 vikrant bhateja
11 篇 christos g. pana...
10 篇 a. sachenko

语言

10,468 篇 英文
86 篇 中文
74 篇 其他
6 篇 土耳其文
2 篇 西班牙文

检索条件"任意字段=Intelligent Sensors, Sensor Networks and Information Processing Conference"

共 10633 条记录，以下是151-160 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：

An intelligent Framework for Wireless sensor networks in Environmental Monitoring 2

An Intelligent Framework for Wireless Sensor Networks in Env...

引用

2nd International conference on Automation, Computing and Renewable Systems, ICACRS 2023

作者： Kumaran, S. Gokul Shankar, M. Krithikraj, P. Karthik, M. Department of ECE SaveethaEngineering College Tamilnadu Chennai India

ISBN: (纸本)9798350340235

In environmental monitoring, wireless sensor networks (WSNs) have become a game-changing technological advancement. Researchers and environmentalists can better understand and safeguard the world through these networks' capacity to collect real-time data from hostile and isolated locations. The integration of sensors, adaptive data collection, and decision-making processes are the main topics of the study in intelligent framework for WSNs for environmental monitoring. To outline a novel strategy to overcome the difficulties involvedin environmental monitoring, highlighting the adaptability and intelligence of the system. With the help of the framework, WSNs will be better able to integrate heterogeneous sensors with ease, modify their data-gathering methods in response to changing environmental circumstances, and use machine-learning tactics to make wise decisions. Utilizing the architecture makes environmental monitoring systems more flexible, adaptive, and able to deliver useful information for environmental preservation and protection. In order to show the usefulness of the technique in situations like forest fire detection, water quality monitoring, and air pollution control, the article also addresses a number of case studies and applications. Finally, it emphasizes the difficulties and prospects for future study and growth in the important field. © 2023 IEEE.

关键词： Environmental Monitoring Machine Learning Remote Areas sensors-Nodes Wireless sensor Network (WSN)

来源：评论

学校读者我要写书评

暂无评论

Underwater geometric target recognition based on information fusion of active electric field and pressure sensors

Underwater geometric target recognition based on information...

引用

2024 International conference on Image, Signal processing, and Pattern Recognition, ISPP 2024

作者： Duan, Yiran Hu, Qiao Fu, Tongqiang Feng, Xuhui Li, Shuo School of Mechanical Engineering Xi'an Jiaotong University Xi'an China Shaanxi Key Laboratory of Intelligent Robots Xi'an China

ISBN: (纸本)9781510680425

Underwater active electrical sensing and artificial lateral lines are inspired by weakly charged fish and fish lateral lines, respectively, to sense electrical and pressure *** the common detection techniques, acoustic detection of near-field targets produces serious reverberation, resulting in low detection *** sensors have high requirements for light and water quality, which is not suitable for near-field detection in dim and turbid *** fusion of flow field and electric field detection methods can achieve high resolution and *** paper is to provide a method for recognizing underwater targets of different shapes and sizes using active electric field and flow field *** carry out simulations to verify the possibility of this method and design a composite array of corresponding pressure and electric field sensors for *** experimental results demonstrate that the accuracy of multi-source sensor fusion identification exceeds 98%, significantly surpassing that of a single field. © 2024 SPIE.

关键词： information fusion

来源：评论

学校读者我要写书评

暂无评论

A Hybrid Residual CNN with Channel Attention Mechanism for Continuous User Identification Using Wearable Motion sensors 47

A Hybrid Residual CNN with Channel Attention Mechanism for C...

引用

47th International conference on Telecommunications and Signal processing, TSP 2024

作者： Mekruksavanich, Sakorn Phaphan, Wikanda Jitpattanakul, Anuchit School of Information and Communication Technology University of Phayao Department of Computer Engineering Phayao Thailand Research Group in Statistical Learning and Inference King Mongkut's University of Technology North Bangkok Faculty of Applied Science Department of Applied Statistics Bangkok Thailand Intelligent and Nonlinear Dynamic Innovations Research Center King Mongkut's University of Technology North Bangkok Faculty of Applied Science Department of Mathematics Bangkok Thailand

ISBN: (纸本)9798350365597

Recognizing individuals continuously using wearable devices has several applications in personalized services and security. This paper presents a hybrid deep network architecture called SE-ResBiLSTM that integrates a squeeze-and-excitation (SE) mechanism with residual bidirectional LSTM layers. The goal is to enhance the accuracy of person identification using data from wearable motion sensors. The SE blocks facilitate channel-wise feature refinement, highlighting helpful information. Residual connections enable the training of deeper LSTM architectures. The proposed method's accuracy in identifying individuals across increasing periods between training and testing is evaluated using the SP-SW HAR dataset, which contains activity data collected from wristwatch sensors. By leveraging representation learning and exhibiting resilience against sensor noise and temporal fluctuations, SE-ResBiLSTM improves recognition accuracy compared to regular and convolutional LSTM networks. According to the trial data, SE-ResBiLSTM achieved a maximum identification accuracy of 98.71 %. The experimental results demonstrate that this approach significantly boosts the performance of user identification using wristwatch sensors. © 2024 IEEE.

关键词： Wearable sensors

来源：评论

学校读者我要写书评

暂无评论

Automated Data Collection and Analysis for intelligent Maintenance of Electrical Systems 6

Automated Data Collection and Analysis for Intelligent Maint...

引用

6th IEEE International conference on Power, intelligent Computing and Systems, ICPICS 2024

作者： Yu, Wenduo Guo, Zongjin Suo, Pengxiang Hui, Shengxuan Wang, Zhijia Liu, Guangyu State Grid Yingkou Power Supply Company Yingkou China

ISBN: (数字)9798350374315

ISBN: (纸本)9798350374315

The rapid development of industrial automation technology has made intelligent maintenance of electrical equipment the key to ensuring production and safety. The purpose of this article is to conduct an in-depth study of automated data collection and analysis technology in the intelligent maintenance of electrical facilities. Utilizing cutting-edge multi-sensor data integration technology and sophisticated data analysis methods, we implement continuous tracking of equipment operation conditions and forward-looking predictions of possible failures. We use vibration, temperature, current, and other sensing equipment to implement wireless information exchange to enable instant data transmission, as well as random forest algorithms and support vector machines for in-depth analysis. The research results show that the intelligent maintenance system significantly improves the fault identification rate and accurate forecasting capabilities while reducing the length of unexpected shutdowns and maintenance costs. The final judgment shows that intelligent maintenance technology plays an indispensable role in the field of power system maintenance, which effectively increases the stability of the machine and the company's competitive advantage. © 2024 IEEE.

关键词： Wireless communication Wireless sensor networks Costs Accuracy Production Data collection Power system stability Maintenance sensors Data communication

来源：评论

学校读者我要写书评

暂无评论

Gait Feature Perception and Identity Recognition Under Visual-Tactile Dual Modality 9

Gait Feature Perception and Identity Recognition Under Visua...

引用

9th International conference on Communication, Image and Signal processing, CCISP 2024

作者： Yang, Huiyu Song, Fengqian Zhang, Yangyang DataGrand Co. LTD. Shanghai China Internet Academy Anhui University Hefei China

ISBN: (纸本)9798350356656

Gait recognition technology, as a key branch in the field of identity recognition, has significant value but also faces challenges such as discomfort from wearable devices, the need for synchronized processing of gait feature time series data, and susceptibility to environmental influences in image-based methods. A fusion method combining tactile and visual information is proposed to improve recognition effects when sensors or visual information are limited. Not only is a fusion gait dataset constructed, but identity recognition experiments are also conducted on flexible strain sensor data through Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) CNN-LSTM networks. The effectiveness of the visual-tactile fusion method in enhancing recognition accuracy is verified through decision-level fusion strategies. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

IPSN 2023 - Proceedings of the 2023 22nd International conference on information processing in sensor networks

IPSN 2023 - Proceedings of the 2023 22nd International Confe...

引用

22nd ACM/IEEE International conference on information processing in sensor networks, IPSN 2023

ISBN: (纸本)9798400701184

The proceedings contain 58 papers. The topics discussed include: POS: an operator scheduling framework for multi-model inference on edge intelligent computing;CoEdge: a cooperative edge system for distributed real-time deep learning tasks;PointSplit: towards on-device 3D object detection with heterogenous low-power accelerators;addressing practical challenges in acoustic sensing to enable fast motion tracking;CMA: cross-modal association between wearable and structural vibration signal segments for indoor occupant sensing;interpersonal distance tracking with mmWave radar and IMUs;mmRipple: communicating with mmWave radars through smartphone vibration;DeepGANTT: a scalable deep learning scheduler for backscatter networks;ARSteth: enabling home self-screening with AR-assisted intelligent stethoscopes;hydra: concurrent coordination for fault-tolerant networking;MicroDeblur: image motion deblurring on microcontroller-based vision systems;and mosaic: extremely low-resolution RFID vision for visually-anonymized action recognition.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Embedded sensor networks for Smart Industrial Automation and Control Systems 7

Embedded Sensor Networks for Smart Industrial Automation and...

引用

7th International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2023

作者： Raman, Ramakrishnan Halam, Robert Maharashtra Pune India Maharashtra Pune India

ISBN: (纸本)9798350341485

Industrial automation and control systems have improved greatly using integrated sensor networks. These networks enable smart functionality, efficiency, and reliability in industrial contexts. This study analyzes embedded sensor network architecture, implementation, and prospective applications in smart industrial automation and control systems. This article details embedded sensor network technology and components. It examines sensors, data processing, and communication protocols that enable industrial sensor integration. Discussed include network scalability, energy efficiency, data dependability, and current solutions and research ***, integrated sensor networks are changing industrial automation and control systems. It enables continuous checking, foresight support, and flexible control. These networks use cutting-edge machine learning and analytics algorithms to maximize system performance, resource usage, and intelligent decision-making. This page presents embedded sensor network case studies and examples from many industrial domains. sensor networks improve worker safety, manufacturing efficiency, energy consumption, and downtime. The study also solves sensor data security and privacy problems. In conclusion, integrated sensor networks have changed how smart industrial automation and control systems monitor, manage, and optimize industrial processes. This research article provides insights into these networks' design, implementation, and applications to help researchers, engineers, and practitioners achieve intelligent and effective industrial automation. © 2023 IEEE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

Integration of UHF RFID Receptors in Railway Maintenance Systems 30

Integration of UHF RFID Receptors in Railway Maintenance Sys...

引用

30th IEEE International Symposium for Design and Technology in Electronic Packaging, SIITME 2024

作者： Stancel, Ion Nicolae Surugiu, Maria Claudia National University of Science and Technology Polytechnica of Bucharest Department of Telematics and Electronics for Transports Bucharest Romania

ISBN: (纸本)9798331539511

The paper discusses the deployment of UHF RFID receptors equipped with various sensors to enhance the maintenance of railway infrastructure. These receptors provide continuous, real-Time data on safety parameters, addressing the challenge of limited revision times in subway systems. Wireless sensor networks (WSNs) are emphasized for their cost-effectiveness, high resolution, robustness, and low power consumption. WSNs consist of small-scale sensors capable of data processing and communication, offering advantages like self-organization, short-range broadcasting, dense deployment, and continuous topology changes. Effective management of these networks involves addressing energy consumption, data transmission, and signal processing to ensure stability and efficiency. The proposed system utilizes UHF RFID receptors, RFID tags and infrared sensors to monitor rail integrity and environmental conditions. Data is centrally processed and transmitted via GSM with GPS positioning for real-Time event localization. The study examines energy consumption, distance measurement, and information transmission delays, proposing the deployment of WSNs in UHF RFID receptors to improve railway safety. Potential applications extend to civilian, military, and emergency response contexts. © 2024 IEEE.

关键词： Wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

Collision detection method for industrial robots based on multi-channel information fusion 6

Collision detection method for industrial robots based on mu...

引用

6th International conference on Robotics, intelligent Control and Artificial Intelligence, RICAI 2024

作者： Xia, Yue Zhang, Bohu Long, Shangbin Mo, Jionghao School of Mechanical and Electrical Engineering Guangzhou University Guangzhou China

ISBN: (纸本)9798331541699

Collision detection is an important part of ensuring its safety and reliability, and it is a low-cost and low-requirement collision detection method to detect and identify collision events based on the data of sensors or monitoring systems inside the robot. In view of the shortcomings of the existing deep learning methods in processing the robot motion state data, this paper constructs a CA-Transformer network with multi-channel information fusion, takes the real-time load as the judgment index, realizes the fast and effective prediction of the robot load, and integrates a variety of sensor data in turn to improve the analysis ability of the robot state. The research results can provide ideas for the safe operation detection of robots. © 2024 IEEE.

关键词： information fusion

来源：评论

学校读者我要写书评

暂无评论

intelligent Car Parking System Using WSN 6

Intelligent Car Parking System Using WSN

引用

6th Global conference on Wireless and Optical Technologies, GCWOT 2023

作者： Ratti, Steve Azarsh Pirzada, Nasrullah Shah, Syed Mohammad Ali Naveed, Anjum Mehran University of Engineering & Technology Jamshro Department of Telecommunication Engineering Hyderabad Pakistan Mehran University of Engineering & Technology Hyderabad Pakistan Hazara University Mansehra Dept. of Computer Science & Technology Mansehra Pakistan

ISBN: (纸本)9798350333718

Numerous technologies are constantly being created due to the rapid rise in the standardization and automation of operational and management systems. It simplifies procedures and allows microelectronics technology to advance more often. It was managed by an Android app and controlled by sensor networks and parking systems. The wireless sensor network manages parking spot management, parking lot reservations, vehicle navigation, and other complex circumstances. This study suggests a wireless sensor network-based and android app-based intelligent parking system. sensors installed beneath enable the cutting-edge parking system to function. The research suggests an intelligent parking system that uses wireless sensor networks and IR, magnetic, and light sensors. The ground-level sensors used by the advanced parking system function. The base station receives the node/slot information, and the base station delivers data to FTP. At the user's request, FTP transmits details about nodes and spaces to mobile devices. The idea came from using an IoT application to control the automobile parking system, which is crucial to our daily lives. For this purpose, a mobile application for Android called Smart Parker was developed. It provides information about a parking lot, such as available or reserved spaces. sensors at the base station will send information about parking spaces to the FTP server. The user of the innovative payment system is required to pay to park the car. Cash is first collected using cash counters, but maintaining them is challenging. Later, different methods are employed to collect the payment. The payment is made by an Automated Vehicle Identification (AVI) tag using RFID technologies. Smart, debit, and credit cards are contact methods, whereas RFID technology and mobile devices are contactless alternatives. The smart parking system on FPGA (Finite State Machine Modeling) works on two main modules, i.e., the identification module and slot checking module. The

关键词： Internet of things

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500页 << < 12 13 14 15 16 17 18 19 20 21 > >>

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：