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

4,530 篇 会议
89 篇 期刊文献
7 册 图书

馆藏范围

4,626 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

689 篇 wireless sensor ...
384 篇 sensor systems
251 篇 robot sensing sy...
249 篇 sensors
247 篇 real-time system...
209 篇 monitoring
201 篇 wireless communi...
153 篇 sensor phenomena...
117 篇 temperature sens...
116 篇 internet of thin...
112 篇 control systems
98 篇 cameras
90 篇 protocols
90 篇 accuracy
85 篇 sensor
83 篇 sensor systems a...
83 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

4,535 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 4626 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：

A Novel Machine Learning Strategy for Anomaly Identification Scheme in Wireless sensor Networks Using Supervised Training Principles 5

A Novel Machine Learning Strategy for Anomaly Identification...

引用

5th International conference on Electronics and Sustainable Communication systems, ICESC 2024

作者： Shifani, S. Agnes Mary, A. Antony Metilda, M.I. Mary Rajkumar, G. Vinoth Sutha, M.S. Maheshwari, S. Saveetha University Chennai

ISBN: (纸本)9798350379945

Anomaly detection in Wireless sensor Networks (WSN s) is critical for maintaining the integrity and reliability of various monitoring systems, especially in agricultural settings. The core of this study is the development of a hybrid anomaly detection model, SVM-RFNet, which integrates Support Vector Machines (SVM), Random Forests (RF), and Neural Networks (NN). By applying noise reduction techniques, such as smoothing algorithms, the data quality is significantly enhanced, resulting in cleaner and more stable datasets. Feature engineering, including temporal trend analysis and Principal Component Analysis (PCA), further refines the dataset by extracting and selecting the most informative features. This model combines the strengths of each method, leveraging SVM's robustness in high-dimensional data, RF's ensemble learning capabilities, and NN's ability to learn complex patterns. The SVM-RFNet model achieved an impressive accuracy of 96%, demonstrating its efficacy in real-time anomaly detection. The paper concludes with a discussion on future research directions, including the integration of advanced deep learning techniques and the development of self-healing networks, which promise to further enhance the capabilities and applications of WSN s in various domains. © 2024 IEEE.

关键词： Noise abatement

来源：评论

学校读者我要写书评

暂无评论

A Systematic Analysis of Research Trends on Network Control System in Wireless sensor Network 8

A Systematic Analysis of Research Trends on Network Control ...

引用

8th International conference on advanced Computing and Communication systems, ICACCS 2022

作者： Paul, Subhra Prosun Aggarwal, Shruti Chandigarh University Department of Computer Science and Engineering Punjab Gharuan India

ISBN: (纸本)9781665408165

In the present world, wireless sensor network-enabled network control system is performing a significant role in science, technology, and our day-to-day life. The Network control system in wireless sensor network has a great contribution in modern technology-oriented lifestyle and is bringing control to engineers in communicating network system through various applications. Though network control system is facing different challenges like latency, security, and multiple accesses, it is widely accepted for the successful communication and effective data transmission process. In this research paper, we are trying to explain generally the research aspect, trends, and variation of research directions through comparative analysis of existing research work and scientometric analysis on network control systems in the wireless sensor networks. With the help of the Scopus database and Web of Science database separately, some assessments were performed to analyze research data. From different experiments, it is noticed that network control systems can be applied in different fields like environment, agriculture, home applications, traffic control, health, aircraft, and motor control system using a wireless sensor networks. Observing in the last twenty years of research works in this field, we have found that network control system in wireless sensor networks is increasingly become a talented topic in the communication and networking field. © 2022 IEEE.

关键词： Database systems

来源：评论

学校读者我要写书评

暂无评论

A Comprehensive Survey on Traffic Light Detection sensors for Vehicle Safety and Automatic Emergency Braking systems Using Deep Learning Techniques 3rd

A Comprehensive Survey on Traffic Light Detection Sensors fo...

引用

3rd International conference on Intelligent systems and Sustainable Computing, ICISSC 2023

作者： Gowri, B. Shyamala Priya, G. Vishnu Anjana, S. Arjun, V. Kodal, Devendraa Department of Computer Science and Engineering Easwari Engineering College Tamil Nadu Chennai India

ISBN: (纸本)9789819783540

The integration of Traffic Light Detection (TLD) systems with advanced Emergency Braking systems (AEBS) marks a critical milestone in enhancing road safety and paving the way for advanced autonomous driving. This survey paper provides a panoramic and extensive overview of the state-of-the-art TLD solutions leveraging sensors and deep learning techniques. With an increasing emphasis on accident prevention and traffic management, the intersection of TLD and AEBS has become a focal point of research and development. This survey begins by elucidating the fundamental challenges associated with TLD, including varying environmental conditions, occlusions, and complex traffic scenarios. We explore the pivotal role of sensors such as cameras, LiDAR, and radar in providing the requisite data for TLD, and delve into the intricacies of sensor fusion techniques for enhanced perception. Deep Learning has emerged as a cornerstone technology in TLD, enabling robust object detection, classification, and real-time decision-making. We meticulously analyze a spectrum of deep learning architectures including Single-Shot Detectors (SSD), Faster R-CNN, YOLO, and custom-designed networks tailored for TLD applications. Furthermore, the survey examines critical components of the TLD pipeline, encompassing data collection, preprocessing, model training, real-time inference, and integration with AEBS. Emphasis is placed on real-time constraints, multi-modal sensor fusion, and adaptability to diverse traffic light configurations. The paper also delves into the significance of accurate traffic light state prediction, going beyond mere detection to anticipate traffic light changes and optimize vehicle control actions. Human-centric interaction and privacy concerns are addressed, encompassing driver warnings, user interfaces, and data anonymization strategies. Moreover, the survey discusses the importance of safety, validation, and collaboration within the TLD and AEBS ecosystem, emphasizing compl

关键词： Road and street markings

来源：评论

学校读者我要写书评

暂无评论

A review on Machine Learning based IDS approaches in Wireless sensor networks 9

A review on Machine Learning based IDS approaches in Wireles...

引用

9th International conference on advanced Computing and Communication systems, ICACCS 2023

作者： Madhu Midhan, T. Devika, Kalepalli Rajakumar, R. Manikandan, R. Dinesh, K. Sreedevi, M. Madanapalle Institute of Technology & Science Department of Computer Science and Technology Madanapalle India

ISBN: (纸本)9798350397376

In wireless sensor networks (WSNs), sensors are scattered in a particular region to record and evaluate the physical data from the environment. They are widely utilised in various applications, including healthcare, event detection, agriculture, and disaster management. However, the challenges in WSNs include high bandwidth demand, energy consumption, route design, quality of service (QoS) provisioning, unusual activities, etc. However, numerous ways are being considered to solve the aforementioned difficulties. Detecting abnormal network movements is one of the most difficult challenges. An intrusion detection system (IDS) is a productive way to detect infiltration effectively. However, the growth of contemporary technologies necessitates using an effective IDS strategy. As a result, many academicians focus on reducing and eliminating anomalous network security vulnerabilities. According to the findings, machine learning techniques are more critical in addressing these issues. The accuracy of several machine learning algorithms for detecting intrusion in WSNs is investigated in this work. Furthermore, this paper examines the various datasets, performance measurements, and future directions. © 2023 IEEE.

关键词： Wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

Trade-off Analysis of Gateway Strategies for Embedding of CAN Frames into Ethernet Packets 15

Trade-off Analysis of Gateway Strategies for Embedding of CA...

引用

15th International conference on Information and Communication Technology Convergence, ICTC 2024

作者： Bae, Sungwon Park, Hanyoung Ko, Kanghyun Choi, Ji-Woong Dgist Department of Electrical Engineering and Computer Science Daegu Korea Republic of Cheonan Korea Republic of

ISBN: (纸本)9798350364637

The advancement of advanced driver assistance systems (ADAS) has increased the demand for more sensor data within vehicles, necessitating faster data transmission. To meet this requirement, in-vehicle networks (IVNs) with higher link speeds are essential, as the data rates of traditional IVN protocols are insufficient for future applications. To address these demands, an IVN architecture that integrates both controller area network (CAN) and automotive Ethernet is being considered. The coexistence of CAN and automotive Ethernet necessitates the use of gateways, which introduces latency when transferring data from CAN to automotive Ethernet. However, many studies have not thoroughly explored the strategies and characteristics of such gateways and their impact on performance. Therefore, in this paper, we analyze the processing latency and network efficiency associated with different gateway strategies for embedding CAN frames into Ethernet packets. The findings of this study show the trade-off between latency and network efficiency and highlight the potential for optimizing CAN-Ethernet gateways. © 2024 IEEE.

关键词： advanced driver assistance systems

来源：评论

学校读者我要写书评

暂无评论

STFO - Power-Saving Deep-Sleep States are Overrated 12

STFO - Power-Saving Deep-Sleep States are Overrated

引用

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

作者： Ziesmann, Maurice-Christian Fuhner, Claus Busching, Felix Ostfalia - University of Applied Sciences Wolfenbüttel38302 Germany

ISBN: (纸本)9798350358056

In many Internet-of-Things (IoT) and Wireless sensor Network (WSN) application areas, where the wireless nodes sleep most of the time, ultra-low power micro-controllers (μ Cs) are used, which usually feature several sleep modes. At particularly low duty cycles, the corresponding μ C are put into a very deep sleep mode, from which they wake up again - either independently by a timer or triggered from outside - to then perform their actual tasks. In the application area of addressable Wake-up Radios (WURs), mostly μ Cs are used as address decoder, which have a very low quiescent current consumption. In this paper, we show that for the purpose of address decoding in WURs it is not necessary to rely on μ Cs with particularly low sleep current consumption, because it is much more useful to simply switch off the μ Cs by an upstream circuit and thus save even more energy. Our evaluation results suggest that the lessons learned can also be applied to other application areas. © 2023 IEEE.

关键词： addressing energy efficiency internet of things PIC sleep modes sleep states wake-up calls wake-up radios wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

A STUDY ON CHIP DELAY MEASUREMENT sensor BASED ON SCAN CHAIN 10

A STUDY ON CHIP DELAY MEASUREMENT SENSOR BASED ON SCAN CHAIN

引用

10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Liu, Peixin Hu, Xiao Yi, Xinjie National University of Defense Technology Changsha China Key Laboratory of Advanced Microprocessor Chips and Systems Changsha China

ISBN: (纸本)9781837242672

The reliability and performance of integrated circuits degrade over time, with one critical factor being the aging of numerous internal combinational logic circuits. Delay variations in these circuits not only reflect the chip's external environmental conditions but also indicate the degree of aging during its operational life. Traditional aging delay measurement sensors typically employ dedicated sampling circuits, which pose challenges for comprehensive detection of delays across all combinational logic paths within the chip. This study introduces a novel chip aging sensor, termed the FATE-sensor, which leverages the internal scan chains of the chip. By performing a full-chip frequency scan of the combinational logic circuits, the FATE-sensor can detect delay variations at various combinational logic locations using the extensive coverage provided by the scan chains. This paper presents a detailed investigation of the FATE-sensor's characteristics, including its consistency, repeatability, temperature and voltage dependencies, and resolution enhancement. Experimental calibration of the FATE-sensor demonstrates its effectiveness in monitoring and reflecting delay variations within the chip's internal circuits. This capability allows for accurate assessment of the chip path delay status, thus enhancing the reliability of chips used in high-precision and advanced applications. This technology not only aids in identifying potential faulty chips and supports chip timing verification testing but also provides new insights for understanding and extending chip lifespan. © The Institution of Engineering & Technology 2024.

关键词： Delay circuits

来源：评论

学校读者我要写书评

暂无评论

Mathematical Model for Determining the Geometric Location of the Environmental Pollutant Based on sensor Data 12

Mathematical Model for Determining the Geometric Location of...

引用

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

作者： Khaidurov, Vladyslav Yailymov, Bohdan Shelestov, Andrii National Technical University of Ukraine 'Igor Sikorsky Kyiv Polytechnic Institute' Kyiv03056 Ukraine Space Research Institute NASU-SSAU Kyiv03187 Ukraine

ISBN: (纸本)9798350358056

The practical result of this work is the development of a generalized mathematical model for determining the position of an environmental pollutant. Computer simulation was carried out in order to verify the developed mathematical model. A number of computational experiments were conducted to verify the mathematical model. In the future, the developed algorithm is proposed to be used for real ground air quality measurement stations with additional use of air quality information from satellite data and specify the location of the pollution source using the Urban Atlas. © 2023 IEEE.

关键词： environmental pollutant genetic algorithm inverse problem mathematical modeling PM2.5 smart city Urban Atlas

来源：评论

学校读者我要写书评

暂无评论

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

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

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463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：