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

7,956 篇 会议
81 篇 期刊文献
77 册 图书

馆藏范围

8,114 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

5,054 篇 工学
- 3,914 篇 计算机科学与技术...
- 2,388 篇 信息与通信工程
- 1,802 篇 软件工程
- 1,358 篇 电气工程
- 633 篇 控制科学与工程
- 418 篇 动力工程及工程热...
- 372 篇 电子科学与技术（可...
- 314 篇 生物工程
- 222 篇 生物医学工程（可授...
- 209 篇 仪器科学与技术
- 205 篇 机械工程
- 173 篇 测绘科学与技术
- 167 篇 光学工程
- 126 篇 化学工程与技术
- 120 篇 材料科学与工程（可...
- 95 篇 建筑学
- 88 篇 土木工程
- 85 篇 石油与天然气工程
- 85 篇 安全科学与工程
1,380 篇 理学
- 634 篇 数学
- 413 篇 物理学
- 360 篇 生物学
- 213 篇 统计学（可授理学、...
- 138 篇 化学
- 121 篇 系统科学
686 篇 管理学
- 395 篇 管理科学与工程(可...
- 307 篇 图书情报与档案管...
- 149 篇 工商管理
239 篇 医学
- 210 篇 临床医学
- 132 篇 基础医学(可授医学...
84 篇 法学
82 篇 农学
57 篇 经济学
23 篇 军事学
22 篇 教育学
15 篇 文学
1 篇 哲学

主题

1,596 篇 wireless sensor ...
501 篇 neural networks
328 篇 wireless communi...
303 篇 convolutional ne...
254 篇 deep learning
238 篇 sensor nodes
222 篇 routing
217 篇 feature extracti...
185 篇 monitoring
179 篇 image processing
178 篇 signal processin...
172 篇 wireless sensor ...
168 篇 energy consumpti...
166 篇 sensor networks
163 篇 sensors
158 篇 accuracy
149 篇 sensor systems
147 篇 real-time system...
142 篇 protocols
139 篇 routing protocol...

机构

15 篇 chitkara univers...
10 篇 univ chinese aca...
10 篇 school of inform...
10 篇 beijing universi...
10 篇 gla university m...
9 篇 south china univ...
9 篇 university of ch...
9 篇 beijing institut...
8 篇 department of co...
8 篇 department of el...
7 篇 school of inform...
7 篇 chinese academy ...
6 篇 univ wisconsin d...
6 篇 karnataka bangal...
6 篇 computer network...
6 篇 shanghai jiao to...
6 篇 school of comput...
6 篇 school of electr...
6 篇 amrita vishwa vi...
6 篇 shihezi universi...

作者

12 篇 wang wei
11 篇 chen chen
9 篇 liu yang
9 篇 li qiang
8 篇 zhang tao
8 篇 wang lei
7 篇 wei liu
7 篇 liu wei
7 篇 cao jiannong
6 篇 badache nadjib
6 篇 jiao licheng
6 篇 wei wang
5 篇 zhou jie
5 篇 li xin
5 篇 hui wang
5 篇 pitchaimanickam ...
5 篇 soman k. p.
5 篇 liu ying
5 篇 zhang sheng
5 篇 qiang li

语言

7,951 篇 英文
153 篇 其他
18 篇 中文
1 篇 俄文

检索条件"任意字段=5th International Conference on Informational Processing in Sensor Networks"

共 8114 条记录，以下是161-170 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 the Measurement Method of Plant Sap Flow Rate Based on Electromagnetic Induction Law

Research on the Measurement Method of Plant Sap Flow Rate Ba...

引用

sensors and Information Technology (ICSI), international conference on

作者： Binghao Ding Bin Li Jie Chen School of Mechatronic Engineering and Automation Shanghai University Shanghai China

ISBN: (数字)9798331542887

ISBN: (纸本)9798331542894

Based on Low of Electromagnetic Induction, a uniform alternating magnetic field is provided to plant stem through excitation module. Sap flow cuts the magnetic flux lines, inducing electromotive force signal on sensor. the signal is processed by signal processing circuit, filtered, and amplified. After analog-to-digital conversion, the data is collected by microprocessor and transmitted to host computer for processing and storage. In the experiment, Radermachera Sinica was selected as the subject. the transpiration diurnal variation trends were analyzed through correlation analysis (r=0.894) between the results from the whole-plant weighing method and measurement method. the results showed a significant correlation between the two measurement methods. A linear fitting of the measurement method using the weighing method was performed (Slope: 0.0727, Intercept: 0.6611, R2=0,682) and data validation (1:1) was carried out, confirming the feasibility of the measurement method. this provides a new approach and method for studying plant transpiration.

关键词： Weight measurement Transpiration Electric potential Magnetic field measurement Correlation Fitting Electromagnetic induction Vegetation Signal processing Market research

来源：评论

学校读者我要写书评

暂无评论

AI-Enhanced IoT Systems for Smart Predictive Maintenance in Steel Plants

AI-Enhanced IoT Systems for Smart Predictive Maintenance in ...

引用

Trends in Material Science and Inventive Materials (ICTMIM), international conference on

作者： S. Lourdu Jame S. Suguna Mallika Pramod Pandey Bhavani R L. M. Merlin Livingston B Meenakshi Department of Electrical and Electronics Engineering SRM Institute of Science and Technology Chennai Tamil Nadu India Department of Computer Science and Engineering CVR College of Engineering Hyderabad Telangana India Symbiosis Institute of Technology Nagpur Campus Symbiosis International (Deemed University) Pune Maharashtra India Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University (SIMATS) Chennai Tamil Nadu India Department of Electronics and Communication Engineering DMI College of Engineering Chennai Tamil Nadu India Department of Electrical and Electronics Engineering Sri Sairam Engineering College Chennai Tamil Nadu India

ISBN: (数字)9798331501488

ISBN: (纸本)9798331501495

this paper introduces a smart Internet of things (IoT) system that uses artificial intelligence (AI) to improve operational efficiency and reduce downtime in steel plants through predictive maintenance. It addresses equipment failures in steel plants with deployment of an AI-driven IoT system using neural networks for facilitating accurate defect prediction and minimizing maintenance expenses. the system uses neural networks for continuous operation and proactive maintenance, which are essential in steel production processes to provide productivity and safety. Early problem detection and health monitoring are made possible by integrating IoT devices for real-time data gathering and cloud computing for scalable data processing in the proposed system. Anomalies and impending breakdowns may be foreseen using neural networks trained on time-series sensor data, paving the way for predictive maintenance. the solution improves equipment dependability, optimizes maintenance schedules, and decreases operating costs using historical data and machine learning algorithms. Results from real-world applications show that the system may enhance maintenance plans while reducing downtime in steel manufacturing facilities. the results highlight how technology may revolutionize maintenance procedures, gain insight into proactive equipment management, and help the steel sector progress in smart production.

关键词： Schedules Data privacy Computational modeling Neural networks Real-time systems Maintenance Steel Internet of things Monitoring Predictive maintenance

来源：评论

学校读者我要写书评

暂无评论

5th international conference on Computing Science, Communication and Security, COMS2 2024

5th International Conference on Computing Science, Communica...

引用

5th international conference on Computing Science, Communication and Security, COMS2 2024

ISBN: (纸本)9783031751691

the proceedings contain 31 papers. the special focus in this conference is on Computing Science, Communication and Security. the topics include: Osmotic Computing-Based Task Offloading: A Fuzzy Logic-Based Approach;Traveler’s Demand Reactive Dynamic Online Bus Routing [TraDeR-DOBR] to Improvize Comfort Perception in Intelligent Public Transport System;High-Speed FSO System for Future Generation networks for Long Reach;Mitigating PAPR Challenges in Massive MIMO Systems for CR-IoT networks: A Graeco-Latin Square Approach;performance Analysis of IoT Network over 5G Communication;ioT-Based Convolutional Neural networks in a Farm Pest Detection Using Transfer Learning;Performance Comparison of NOMA Vehicular Communications Under Shadow Fading;Detecting Distributed Denial of Service (DDoS) Attacks in a Multi-controller SDN Environment Utilizing Machine Learning;Comprehensive Study of Short Channel Effects (SCEs) in MOSFET and FinFET Devices;A Machine Learning (ML)-Inspired Method for Intrusion Detection in IoT Devices networks;an Anomaly—Misuse Hybrid System for Efficient Intrusion Detection in Clustered Wireless sensor Network Using Neural Network;detection and Prevention of Black Hole Attack and Sybil Attack in Vehicular Ad Hoc networks;cognitive Ad Hoc Trust Routing for Enhanced Quality of Service;routing in IoT Network Using NetSim Simulator;A Novel Approach of SHA-3-512bits Using Keccak Technique Based on Sponge Function Implementation on FPGA;cooperative Spectrum Sensing in Cognitive Radio Network Using Adaptive Walruses Optimization Algorithm;Catalan’s Conjecture and Elliptic Curve Cryptography (CCECC) Algorithm for Enhancing Data Security During Data Transmission in MANET;monitoring the Concentration of Air Pollutants and Its Health Hazards Using Machine Learning Models;containment of Compromised Nodes in a Distributed Environment;a Novel Approach to Solve Network Security, Cryptography Problems Using Genetic Algorithm.

关键词：

来源：评论

学校读者我要写书评

暂无评论

5th international conference on Emerging Information Security and Applications, EISA 2024

5th International Conference on Emerging Information Securit...

引用

5th international conference on Emerging Information Security and Applications, EISA 2024

ISBN: (纸本)9783031804182

the proceedings contain 18 papers. the special focus in this conference is on Emerging Information Security and Applications. the topics include: A Privacy-Preserving and Fault-Tolerant Data Aggregation Scheme in Smart Grids;local Differential Privacy for Key-Value Data Collection and Analysis Based on Privacy Preference and Adaptive Sampling;comparative Study of Artificial Intelligent Approaches for Phishing Website Detection;exploring Interpretability in Backdoor Attacks on Image Classification;attribute-Based Secret Key Signature Scheme;digital Token Transaction Tracing Method;GPT-Based Wasm Instruction Analysis for Program Language processing;research on Key Technologies of Fair Deep Learning;adaptive Differential Privacy Based Optimization Scheme for Federated Learning;cascading Failures Model with Noise Interference in Supply Chain networks;DefMPA: Defending Model Poisoning Attacks in Federated Learning via Model Update Prediction;SDDRM: An Optimization Algorithm for Localized Differential Privacy Based on Data Sensitivity Differences;blockchain-Based Key Management Scheme in Internet of things;privacy Optimization of Deep Recommendation Algorithm in Federated Framework;delegated Proof of Stake Consensus Mechanism Based on the Overall Perspective of Voting;a Distributed Privacy-Preserving Data Aggregation Scheme for MaaS Data Sharing.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Optimized design and implementation of sensor for portable external insulation equipment fouling degree measurement device 5

Optimized design and implementation of sensor for portable e...

引用

5th international conference on Telecommunications, Optics, and Computer Science, TOCS 2024

作者： He, Jun Gou, Xiang Zhu, Jun Li, Wenhao Huang, Shansong Zeng, Tingting Yang, Mei Zhou, Shichao Zhong, Shuangshuang Zeng, Decai Sichuan Shuneng Electric Power Co. Ltd. High Tech Branch Chengdu610000 China Sichuan Shuneng Dianke Energy Technology Co. Ltd. Chengdu610000 China

ISBN: (纸本)9781510691667

this study carried out a series of optimization design and implementation for the existing portable external insulated equipment dirtiness measurement device for the deficiencies in the sensor design. By adopting new conductive materials, array layout, differential amplification technology, multilevel filtering technology and wireless transmission technology, the measurement accuracy, stability and anti-interference ability of the sensor are significantly improved. Experimental verification and field test results show that the new sensor has obvious advantages in contact resistance stability, response time and signal processing capability, effectively reducing the operation and maintenance costs of power systems, extending the service life of equipment, and generating significant economic and social benefits. this study provides strong support for the measurement of the degree of fouling of the external insulation equipment of the power system, and has high practical value and promotion prospects. © 2025 SPIE.

关键词： Telephone interference

来源：评论

学校读者我要写书评

暂无评论

Data Center Infrastructure in the Era of Generative Artificial Intelligence

Data Center Infrastructure in the Era of Generative Artifici...

引用

Innovative Research in Applied Science, Engineering and Technology (IRASET),conference on

作者： Antonio Cortés Castillo Departamento de Informática Universidad de Panamá Ciudad de Panamá Panamá

ISBN: (数字)9798331532970

ISBN: (纸本)9798331532987

Nowadays, Generative Artificial Intelligence (GenAI) is increasingly making inroads in Data Centers, helping to improve aspects related to latency and high speed. Data center-level network infrastructures require managing large volumes of data using high-speed protocols such as InfiniBand, as it allows low latency and parallel processing, as well as various applied switches at different network architecture levels. In this article, we examine those protocols at the data communication level that GenAI uses to optimize and guarantee data flow between nodes, as well as the design and reference of network architectures in the field of GenIA. On the other hand, the components of the GenAI networks used are analyzed. Similarly, a case study is proposed where the performance of the Graphic processing Units (GPUs) is analyzed based on the definition of a series of metrics such as memory access, memory bandwidth, throughput, energy consumption, temperature, and clock speed, and that through the simulation of neural networks specifically using the Radial Basic Function (RBF) and Multilayer Perceptron (MLP) algorithms, it helps to understand and analyze to what extent these metrics behave and generate possible solutions in the field of data centers.

关键词： Measurement Data centers Protocols Generative AI Optical switches Memory management Graphics processing units Bandwidth throughput Servers

来源：评论

学校读者我要写书评

暂无评论

A Secure LSTM-Based Indoor Localization Method with Multi-Source Trajectory Fingerprint

A Secure LSTM-Based Indoor Localization Method with Multi-So...

引用

sensors and Information Technology (ICSI), international conference on

作者： Longxing Hu Tie Niu Ti Wang Shan Yang Haina Ye Qiyuan Zhang Feng Gao Smart City Research Institute China Unicom Beijing China Computer Network Information Center Chinese Academy of Science Beijing China

ISBN: (数字)9798331542887

ISBN: (纸本)9798331542894

Fingerprint localization maps real-time wireless signals to physical locations, addressing accuracy degradation in complex environments. However, its effectiveness heavily relies on the uniqueness and stability of the fingerprints. this paper presents FusionTrack, an innovative multi-source trajectory fin-gerprinting approach that combines 5G signals and geomagnetic field strength to enhance fingerprint quality. the method employs an LSTM-based two-stage approach: first, it estimates the device's region ID and integrates it into the fingerprint, followed by fine-grained localization. During this process, a self-correction algorithm based on feedback is applied to prevent error propagation from incorrect region ID predictions. Real-world evaluations show that the method achieves a positioning accuracy of 0.72 meters, improving by 85.2 % over the baseline, with outstanding robustness and precision. Additionally, FusionTrack incorporates advanced security mechanisms to ensure data integrity and protect location privacy, making it a reliable solution for secure and accurate indoor positioning.

关键词： Location awareness Wireless communication Wireless sensor networks Accuracy 5G mobile communication Fingerprint recognition sensor fusion Trajectory sensors Security

来源：评论

学校读者我要写书评

暂无评论

Knee Rehabilitation Orthosis Extension Assistance During Walking based on the IoT Platform

Knee Rehabilitation Orthosis Extension Assistance During Wal...

引用

Trends in Material Science and Inventive Materials (ICTMIM), international conference on

作者： R. Sindhuja R. Helen R Kaviya K. Sanjay Department of Medical Electronics Saveetha Engineering College Chennai India Department of Bio-Medical Engineering Saveetha Engineering College Chennai India

ISBN: (数字)9798331501488

ISBN: (纸本)9798331501495

this research study shows the design and development of an Internet of things-based knee orthosis that aids in walking extension is addressed in this study. the load on injured joints during rehabilitation is the main problem addressed. To allow for real-time tracking and remote monitoring, the system incorporates biomechanical sensors such as MEMS, gyroscope, heart rate, and pressure sensors. It facilitates the healing process after surgery by redistributing weight and lowering knee compression. Personalized therapy modifications are made possible by wireless access to a cloud platform. the device's ability to enhance recovery outcomes is demonstrated by the performance evaluation, which reveals notable increases in mobility and rehabilitation efficiency.

关键词： Knee Legged locomotion Performance evaluation Biomechanics Wireless communication Wireless sensor networks Real-time systems Biosensors Usability Wearable sensors

来源：评论

学校读者我要写书评

暂无评论

A large number of optical turbidimeter designs 5

A large number of optical turbidimeter designs

引用

5th international conference on Telecommunications, Optics, and Computer Science, TOCS 2024

作者： Guo, Xingchen Gao, Yingming Dalian Polytechnic University Dalian116000 China

ISBN: (纸本)9781510691667

Turbidity is an important index to evaluate water quality, and the measurement of water turbidity is of great significance to life and environmental protection. Turbidity reflects the content of suspended insoluble substances in water through the optical properties of water. Aiming at the problem of small range in existing turbidity measuring instruments, a new turbidity sensor is designed in this paper. through the combination of scattering method and transmission method, a new measuring device structure and signal circuit processing are designed to improve the measuring range of the equipment. In addition, according to the characteristics of turbidity detection, the signal transmission circuit is designed to eliminate the influence of noise. Finally, by cooperating with the single chip computer, the measurement data is calculated and presented on the computer, and the data can be observed in real time and recorded. © 2025 SPIE.

关键词： Turbidity Light sources Light emitting diodes sensors Photodiodes Liquids Infrared radiation Structural design Signal processing Water quality Water

来源：评论

学校读者我要写书评

暂无评论

Research on Robot Collision Detection Method Based on Force Measuring Table Composed of Unidirectional Force sensor

Research on Robot Collision Detection Method Based on Force ...

引用

sensors and Information Technology (ICSI), international conference on

作者： Quan Li Feng Xie Xiaobao Lei Huawei Wei Anhui University School of Electrical Engineering and Automation Hefei Anhui China

ISBN: (数字)9798331542887

ISBN: (纸本)9798331542894

Aiming at the collision detection problem of collaborative robots, a force measurement platform based on unidirectional force sensor for collision detection was designed. the platform was installed in series with the robot base, without changing the structure of the robot itself, which has the advantages of simple structure, low cost, and convenient measure. Using a combination of Adams and Matlab/Simulink simulation methods to model and simulate the collision process of the robot, the mapping relationship between the unidirectional force measured by the sensor in the force measurement platform and the collision force was derived. the force data of the three support points of the sensor in the force measurement platform before and after the collision was obtained, and the robot collision criteria analysis was carried out, which first performed difference processing on the force data of the three support points, then took the absolute values, and finally summarized them up. On the robot collision detection experimental platform, experiments were conducted on ROC6 robot to verify the feasibility of the proposed collision detection method. the experimental results showed that the proposed collision detection method had the characteristics of high sensitivity, small calculation volume, and easy of use.

关键词： Force measurement Sensitivity Force Collaborative robots Robot sensing systems Mathematical models Force sensors Collision avoidance MATLAB Robots

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 << < 13 14 15 16 17 18 19 20 21 22 > >>

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：