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

4,537 篇 会议
89 篇 期刊文献
35 册 图书

馆藏范围

4,661 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,717 篇 工学
- 1,286 篇 计算机科学与技术...
- 848 篇 电气工程
- 689 篇 信息与通信工程
- 613 篇 软件工程
- 468 篇 控制科学与工程
- 369 篇 仪器科学与技术
- 294 篇 测绘科学与技术
- 243 篇 机械工程
- 240 篇 电子科学与技术（可...
- 189 篇 材料科学与工程（可...
- 137 篇 动力工程及工程热...
- 128 篇 交通运输工程
- 128 篇 航空宇航科学与技...
- 115 篇 光学工程
- 96 篇 土木工程
- 89 篇 安全科学与工程
- 85 篇 建筑学
- 84 篇 化学工程与技术
- 75 篇 生物医学工程（可授...
- 52 篇 石油与天然气工程
1,241 篇 理学
- 906 篇 物理学
- 218 篇 数学
- 117 篇 化学
- 70 篇 系统科学
- 53 篇 生物学
359 篇 管理学
- 306 篇 管理科学与工程(可...
- 104 篇 工商管理
- 92 篇 图书情报与档案管...
168 篇 医学
- 152 篇 临床医学
43 篇 经济学
39 篇 军事学
20 篇 法学
20 篇 农学
10 篇 教育学
4 篇 文学
2 篇 艺术学

主题

691 篇 wireless sensor ...
385 篇 sensor systems
254 篇 robot sensing sy...
250 篇 real-time system...
249 篇 sensors
211 篇 monitoring
203 篇 wireless communi...
153 篇 sensor phenomena...
117 篇 temperature sens...
116 篇 internet of thin...
112 篇 control systems
98 篇 cameras
94 篇 accuracy
90 篇 protocols
85 篇 sensor
83 篇 sensor systems a...
82 篇 intelligent sens...
81 篇 sensor fusion
79 篇 temperature meas...
79 篇 energy consumpti...

机构

11 篇 vsb tech univ os...
9 篇 shenzhen institu...
9 篇 department of in...
8 篇 graduate school ...
8 篇 vsb tech univ os...
6 篇 department of la...
6 篇 beijing inst tec...
6 篇 tianjin univ col...
6 篇 jilin univ coll ...
6 篇 tokyo denki univ...
6 篇 beijing univ tec...
6 篇 tsinghua univ de...
5 篇 mcq inc frederic...
5 篇 korea advanced i...
5 篇 vienna univ tech...
5 篇 fraunhofer izm
5 篇 northeastern uni...
5 篇 harbin engn univ...
5 篇 shenzhen institu...
5 篇 tianjin univ min...

作者

14 篇 liu tiegen
13 篇 leonard barolli
11 篇 daeyoung kim
11 篇 barolli leonard
10 篇 jiang junfeng
9 篇 arjan durresi
9 篇 martinek radek
8 篇 zhang min
8 篇 schmid u.
8 篇 popescu dan
8 篇 jargus jan
7 篇 pang fufei
7 篇 zheng jie
7 篇 wang tingyun
7 篇 yuan libo
7 篇 wang shuang
7 篇 fajkus marcel
6 篇 dahiya ravinder
6 篇 nedoma jan
6 篇 ikeda makoto

语言

4,570 篇 英文
60 篇 其他
38 篇 中文

检索条件"任意字段=Conference on Advanced Sensor Systems and Applications VII"

共 4661 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：

Modelling of advanced sensor based Distributed Control System for Real- Time Prediction and Minimization of Power Loss in Industrial Automation systems 4

Modelling of Advanced Sensor based Distributed Control Syste...

引用

4th International conference on Expert Clouds and applications, ICOECA 2024

作者： Sengeni, D. Mano Jemila, M.R. Priya, G. Soorya Krishnan, T. Santhana Rathinasabapathi, G. Kannan, Sathish CK College of Engineering and Technology Department of Electronics and Communication Engineering Chellangkuppam Tamil Nadu Cuddalore607003 India Dr. N. G.P. Institute of Technology Department of Biomedical Engineering Tamil Nadu Coimbatore641048 India Loyola Institute of Technology Department of Electrical and Electronics Engineering Tamil Nadu Mevalurkuppam Chennai600123 India Department of Electrical and Electronics Engineering Tamil Nadu Thandalam Chennai602105 India Panimalar Engineering College Department of Mechanical Engineering Tamil Nadu Chennai600123 India Saveetha School of Engineering Saveetha Institute of Medical and Techinical Sciences Department of VLSI Microelectronics Tamil Nadu Chennai602105 India

ISBN: (纸本)9798350385793

This research study analyses the integration of a Distributed Control System (DCS) to optimise the efficiency and reliability of industrial automation, with a special emphasis on reducing power loss. Leveraging real-time sensor data and machine learning models, including Decision Trees, Artificial Neural Networks, and Random Forests, the research provides a proactive strategy to anticipating and avoiding anomalous current and voltage patterns. The DCS, armed with predictive maintenance procedures, emerges as a solid framework for reducing energy usage, assuring system stability, and limiting possible quality losses. Evaluation using performance ratings and confusion matrices reveals the efficiency of the proposed system in properly recognising and correcting deviations from normal operating circumstances. The results contribute not only to the progress of distributed control systems in industrial automation but also provide a realistic approach to real-time monitoring and predictive maintenance, supporting sustainability and operational excellence in manufacturing settings. This study sets a platform for future initiatives seeking to construct intelligent, adaptable systems for increased industrial automation performance. © 2024 IEEE.

关键词： Predictive maintenance

来源：评论

学校读者我要写书评

暂无评论

A Hybrid Optimization Strategy for k-Coverage Maximization in Wireless sensor and IoT Networks 3

A Hybrid Optimization Strategy for k-Coverage Maximization i...

引用

3rd International conference on Intelligent systems, advanced Computing, and Communication, ISACC 2025

作者： Manna, Prithwish Majumder, Sudipta Singh, N. Hemarjit Dibrugarh University Dept. of CSE DUIET Assam Dibrugarh India Dibrugarh University Dept. of ECE DUIET Assam Dibrugarh India

ISBN: (纸本)9798331523893

In this paper, we propose a combination of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) to create a hybrid optimization technique which meets k-coverage criteria in Wireless sensor Network (WSN) and Internet of Things (IoT). The goal of this approach is to increase the coverage area alongside minimizing the deployment cost of the sensors. Another aim is to reduce the power consumption. This technique is helpful to determine the optimal position of the sensors. It helps to ensure that each target point in the network is getting the coverage of at least k sensors. In this way we can enhance the reliability and robustness of the network. From experimental results, we can conclude that with optimal sensor utilization and minimized redundancy, our proposed approach achieves 97.14% coverage ratio with k-coverage equals 3. According to performance metrics, it is clear that there is consistent energy efficiency through the cycles. The approach converges in less than 3 second. So, this approach is applicable for real time applications. It is a hybrid metaheuristic approach which is very efficient in managing various challenges associated with sensor deployment. From this approach we can get solutions of coverage enhancement, energy efficiency and improved sensor utilization. © 2025 IEEE.

关键词： Particle swarm optimization (PSO)

来源：评论

学校读者我要写书评

暂无评论

Enhancing Indoor Mobile Robot Localization through the Integration of Multi-sensor Fusion Algorithms 1

Enhancing Indoor Mobile Robot Localization through the Integ...

引用

1st International conference on Robotics, Engineering, Science, and Technology, RESTCON 2024

作者： Yatigul, Rut Pudchuen, Noppadol Blattler, Aran Jitviriya, Wisanu King Mongkut's University of Technology North Bangkok Department of Production and Robotics Engineering Bangkok Thailand King Mongkut's University of Technology North Bangkok Department of Instrumentation and Electronics Engineering Bangkok Thailand

ISBN: (纸本)9798350348842

This paper presents an innovative approach that combines visual odometry, Inertial Measurement Unit (IMU), and wheel odometry, using the Extended Kalman Filter and Unscented Kalman Filter to enhance mobile robot localization and mapping. The primary goal is to improve localization accuracy and robustness while providing a cost-effective alternative to traditional SLAM methods that rely on expensive LIDAR and RGBD camera systems. By integrating visual odometry, IMU data, and wheel odometry our method not only enhances precision and robustness of the mobile robot localization system but also reduces the financial burden associated with high-end sensor hardware. This fusion creates a reliable solution, particularly suited for resource-constrained environments. Our research contributes to the democratization of SLAM technologies, making them more accessible to a wider range of applications. The results presented in this report showcase the potential of our approach. This paper highlights the pivotal role of multi-sensor fusion framework which significantly enhances localization accuracy and robustness. © 2024 IEEE.

关键词： Extended Kalman filters

来源：评论

学校读者我要写书评

暂无评论

A Flexible Hybrid Resource Allocation Model for Enhanced Efficiency using AI in Wireless sensor Networks 3

A Flexible Hybrid Resource Allocation Model for Enhanced Eff...

引用

3rd International conference on Electronics and Renewable systems, ICEARS 2025

作者： Endla, Purushotham Mohandas, R. Saikia, Achinta Lakshmi, C. Karthikeyan, G. Moharekar, Tejashree Tejpal Sr University School of Sciences and Humanities Department of Physics Telangana Warangal506371 India Chennai Institute of Technology Department of Ece Chennai India Mariani College Department of Statistics Mariani Assam Jorhat785634 India Saveetha Engineering College Chennai India Karpagam College of Engineering Department of Artificial Intelligence & Data Science Coimbatore India Shivaji University Yashwantrao Chavan School of Rural Development Maharashtra Kolhapur India

ISBN: (纸本)9798331509675

Wireless sensor Networks (WSNs) have become a cornerstone technology in various fields, including environmental monitoring, industrial automation, and healthcare. This paper presents a novel hybrid resource allocation model designed to enhance efficiency in Wireless sensor Networks (WSNs) using advanced Artificial Intelligence (AI) techniques. The proposed model integrates static and dynamic resource allocation strategies with machine learning and reinforcement learning to optimize key network resources such as energy, bandwidth, and processing power. Comprehensive evaluations demonstrate that the proposed model outperforms nine existing models across multiple metrics, including energy efficiency, network lifetime, throughput, delay, latency, and accuracy of resource allocation. The proposed model achieved an energy efficiency of 0.98 J/bit, extended network lifetime to 620 days, and maintained a high throughput of 620 Kbps. Notably, the model demonstrated the lowest delay (90 ms) and latency (180 ms) while achieving the highest resource allocation accuracy of 97.8%. These results highlight the model's capability to dynamically adjust resource allocation in response to real-time network conditions, ensuring optimal performance and resource utilization. The proposed model's success in efficiently managing WSN resources marks a significant advancement in the field, offering a robust solution for various WSN applications requiring high efficiency and reliability. © 2025 IEEE.

关键词： Artificial Intelligence Energy Efficiency Machine Learning Network Lifetime Reinforcement Learning Resource Allocation Wireless sensor Networks

来源：评论

学校读者我要写书评

暂无评论

Comparative Analysis of Multi Objective Node Placement Strategies in Wireless sensor Networks 17

Comparative Analysis of Multi Objective Node Placement Strat...

引用

17th IEEE International conference on advanced Networks and Telecommunications systems, ANTS 2023

作者： Ojha, Amritesh Gupta, Bharat National Institute of Technology Electronics & Communication Engineering Patna India

ISBN: (纸本)9798350307672

Real-world service providers in Wireless sensor Networks (WSN) face the challenge of balancing two important considerations: achieving a high coverage and extending the network's lifespan. The optimization problem of coverage in WSN holds significant importance as it aims to achieve a balance between network lifetime and coverage. This encompasses the reduction of energy consumption, the enhancement of coverage rate, and the optimization of energy consumption balance. Although heterogeneities are acknowledged and addressed in certain aspects of WSNs, such as routing protocols, researchers tend to overlook their significance when it comes to node placement or deployment. This research presents a comparative examination of multi-objective node placement algorithms in WSNs, specifically focusing on their performance in heterogeneous circumstances. However, the impact of an asymmetric link, which may vary depending on the node, is not well considered in heterogeneous WSNs. The detrimental effects of link heterogeneity on the performance of deployment methods have been observed. Our investigation revealed that the thought-out strategy for exploiting heterogeneity was not used. The implementation of sensor networks based on 6G technology in smart city applications necessitates the utilization of diverse sensor nodes. In order to achieve optimal resource usage, it is imperative to take into account the heterogeneity of nodes during the deployment process. © 2023 IEEE.

关键词： sensor nodes

来源：评论

学校读者我要写书评

暂无评论

Modeling of Total Occupancy Curves with Integrated Single Parking Times as Input for Microscopic Traffic Simulation 18th

Modeling of Total Occupancy Curves with Integrated Single Pa...

引用

18th Scientific and Technical conference on Transport systems - Theory and Practice (TSTP)

作者： Kaiser, Alexander Schade, Joachim Zadek, Hartmut Inst Automat & Kommunikat Transport & Assistance Magdeburg Germany

ISBN: (纸本)9783031223587;9783031223594

This paper presents a novel approach for the preparation of real parking data for microscopic traffic simulation or similar applications. Against the backdrop of an incomplete database given from single parking spot sensors and manual countings on a few parking spaces in Munich, the data are cleaned and expanded by various methods, e.g. a neural network to forecast the total occupancy at each hour as well as an optimization model to generate the corresponding parking times of each car. This results in a list of realistic parking events for a certain location and day. The method is transferable to other use cases regarding off-street parking spaces, particularly with an incomplete and discontinuous detection of parking occupancy and times.

关键词： Parking occupancy Parking time Parking sensor Neural network Optimization model Microscopic traffic simulation

来源：评论

学校读者我要写书评

暂无评论

Neural Network Technology of Mine Recognition Based on Data From Magnetic Field sensors 12

Neural Network Technology of Mine Recognition Based on Data ...

引用

12th IEEE International conference on Intelligent Data Acquisition and advanced Computing systems: Technology and applications, IDAACS 2023

作者： Peleshchak, Roman Lytvyn, Vasyl Peleshchak, Ivan Voloshyn, Serhii Lviv Polytechnic National University Department of Information Systems and Networks Lviv79000 Ukraine

ISBN: (纸本)9798350358056

Mine detection is an ongoing and growing problem that affects many people around the world due to the enormous danger that mines pose to humans. Mine detection occurs using various methods that use active sensors, including ultra-wideband (UWB) radar. Although active landmine sensors are often used for performance reasons, they can cause unintended landmine detonations because they operate on transmitted and reflected electromagnetic signals. Another way to detect mines without detonating mechanisms is the use of passive detectors. In this article, an optimal neural network structure with Adam's optimization algorithm is developed for effective mine classification based on magnetic field sensor data. This approach made it possible to increase the accuracy of mine detection to 99.23 percent. © 2023 IEEE.

关键词： Adam's optimization algorithm data preprocessing data visualization deep neural network passive mine detection

来源：评论

学校读者我要写书评

暂无评论

Printed Flexible Carbon Black-Based sensor for Nitrite Detection in Medical applications 5

Printed Flexible Carbon Black-Based Sensor for Nitrite Detec...

引用

5th IEEE International conference on Flexible and Printable sensors and systems, FLEPS 2023

作者： Shboul, Ahmad Al Pacheco, Dianne Izquierdo, Ricardo Department of Electrical Engineering 1100 Notre-Dame St W MontrealQCH3C 1K3 Canada

ISBN: (纸本)9781665457330

This work presents a novel printed and flexible sensor for detecting nitrite (NO2-) using a hybrid nanocomposite composed of carbon black (CB), polyvinyl butyral (PVB), and 4-aminophenol (AP). We prepared the NO2- sensor using a combination of simple mixed materials, and a moderate drying temperature of 40°. The sensor has two linear response ranges to NO2- from 25 μM to 1 mM and from 1 to 50 mM, with a detection limit of 25 μM at room temperature. Our results show that the sensor displays appropriate selectivity towards 50 μM of NO2- in the presence of potentially interfering anions and organic compounds that may be present in human urine. We propose that the sensing mechanism is based on the physical electrostatic interaction of NO2- molecules with AP's positively charged amine groups. This interaction results in a reduction of the electrical resistance when the sensor is exposed to NO2- anions. Our work highlights the potential of this printed sensor as a reliable and accurate tool for NO2- detection in medical applications. © 2023 IEEE.

关键词： Carbon black

来源：评论

学校读者我要写书评

暂无评论

Understanding Properties of DriveBay Electromagnetic Tracker for Use in Soft Robot Experiments 28th

Understanding Properties of DriveBay Electromagnetic Tracker...

引用

2024 International conference Automation

作者： Smaz, Tomasz Zubrycki, Igor Lodz Univ Technol Inst Automat Control Stefanowskiego 18 PL-90537 Lodz Poland

ISBN: (纸本)9783031782657;9783031782664

Soft Robotics experiments necessitate advanced measurement techniques to track robot pose and deformations accurately. Electromagnetic tracking systems provide substantial benefits over vision-based systems, especially in capturing both the position and orientation of a robot's surface without occlusion issues. However, these systems are typically designed for applications in controlled environments, with multiple guidelines stated by the producers, necessitating an evaluation of their effectiveness in different contexts. This paper presents a series of foundational experiments to assess the capabilities and limitations of such a system in Soft Robotics. We investigate the impact of distance from the base station, resistance to environmental interference, effects of metallic elements, and the accuracy of rotational measurements. The results demonstrate a significant influence of positional accuracy relative to the distance from the transmitter, with a tenfold decrease in accuracy observed. Additionally, the presence of metallic objects in close proximity (less than 20mm) to the probes adversely affects accuracy, as do large metallic elements such as construction materials. This effect is particularly pronounced when the sampling frequency of the system aligns with multiples of the electrical network frequency, resulting in more than a tenfold reduction in accuracy.

关键词： Soft Robotics Electromagnetic Tracking sensor Accuracy Robotics Measurement systems Environmental Interference in Robotics

来源：评论

学校读者我要写书评

暂无评论

Incorporating LoRa Based Wireless sensor Network and Machine Learning Technologies to Improve Precision Agriculture 3rd

Incorporating LoRa Based Wireless Sensor Network and Machine...

引用

3rd International conference on Intelligent systems and applications, ICISA 2024

作者： Shaikh, Aman Ranjan, Nihar M. Rai, Satayush Rao, Pranil Ashok Shinde, Ganesh Department of Information Technology JSPM’s Rajarshi Shahu College of Engineering Pimpri-Chinchwad India

ISBN: (纸本)9789819798384

In the contemporary landscape, the agricultural sector has undergone transformational changes, embracing progressive dynamics through the integration of cutting-edge technologies and methodologies. The global adoption of IoT, AI/ML, and similar innovations reflects their capacity to furnish precise, reliable, and consistent outcomes, enabling data-driven decision-making. The amalgamation of IoT and ML models emerges as a strategic choice to enhance data analytics, aiming at a substantial improvement in both the quantity and quality of agricultural yields. This paper seeks to elucidate the synergistic interaction of various agrarian elements, orchestrating the computational prowess facilitated by ML models and data derived from IoT sensors transmitted through LoRa-based Wireless sensor Network (WSN) infrastructure. The proposed system advocates a comprehensive three-tier architectural framework, wherein ML and IoT systems collaborate seamlessly to process data for field management. The envisioned system extends its utility by translating these predictions into visually comprehensible representations. The integrated approach signifies a departure from conventional methods, offering a novel pathway to ensure the sustainability of yield, encompassing both production and grading standards. This paper thus contributes to the discourse on leveraging advanced technologies for agricultural optimization in response to evolving global demands. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Decision making

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467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：