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

4,544 篇 会议
88 篇 期刊文献
35 册 图书

馆藏范围

4,667 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,719 篇 工学
- 1,286 篇 计算机科学与技术...
- 850 篇 电气工程
- 688 篇 信息与通信工程
- 613 篇 软件工程
- 468 篇 控制科学与工程
- 370 篇 仪器科学与技术
- 294 篇 测绘科学与技术
- 243 篇 机械工程
- 239 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
- 85 篇 化学工程与技术
- 76 篇 生物医学工程（可授...
- 52 篇 石油与天然气工程
1,242 篇 理学
- 906 篇 物理学
- 218 篇 数学
- 117 篇 化学
- 70 篇 系统科学
- 54 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...
170 篇 医学
- 153 篇 临床医学
- 52 篇 基础医学(可授医学...
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 ...
386 篇 sensor systems
254 篇 robot sensing sy...
253 篇 real-time system...
251 篇 sensors
212 篇 monitoring
203 篇 wireless communi...
153 篇 sensor phenomena...
117 篇 temperature sens...
116 篇 internet of thin...
112 篇 control systems
99 篇 cameras
96 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

4,564 篇 英文
72 篇 其他
38 篇 中文

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

共 4667 条记录，以下是231-240 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：

Coronavirus Disease Outbreak Prediction and Analysis Using Machine Learning and Classical Time Series Forecasting Models

Coronavirus Disease Outbreak Prediction and Analysis Using M...

引用

2024 International conference on Artificial Intelligence and Quantum Computation-Based sensor applications, ICAIQSA 2024

作者： Rabby, Habibor Rahman Hasan, Mahadi Jahan, Israt Jahan, Rumana Siddiky, Rafiuddin Campbellsville University Department of Computer Science KY United States Washington University of Science and Technology Department of Information Technology VA United States Military Institute of Science and Technology Industrial and Production Engineering Dhaka Bangladesh Technology Wilmington University Department of Information Systems DE United States

ISBN: (纸本)9798331517953

This study explores the efficacy of machine learning and classical time series forecasting models in predicting COVID-19 case counts, addressing a critical global health challenge. We compared four models - Holt-Winters, ARIMA, Facebook Prophet, and XGBoost - across eight countries, forecasting both confirmed and death cases over a 14-day period. Our findings reveal that Facebook Prophet with holiday impact and XGBoost consistently outperform other models in predicting new cases, with XGBoost excelling in forecasting death cases, followed by ARIMA and Facebook Prophet. Notably, XGBoost with a mean absolute error (MAE) of 1.42, mean squared error (MSE) of 4.06, and root mean squared error (RMSE) of 2.01, demonstrated the best performance for death prediction. These results underscore the potential of advanced analytical techniques in pandemic management, offering valuable insights for public health officials and policymakers. By providing accurate short-term projections, these models can facilitate proactive decision-making, resource allocation, and intervention strategies, ultimately contributing to more effective COVID-19 mitigation efforts worldwide. This re- search not only demonstrates the practical application of machine learning in epidemiological forecasting but also highlights the importance of model selection in achieving optimal predictive performance for different aspects of the pandemic. © 2024 IEEE.

关键词： COVID-19

来源：评论

学校读者我要写书评

暂无评论

A PM2.5 Concentration Prediction in High-Cost and Low-Cost Wireless sensor Networks Using Neural Networks 16

A PM2.5 Concentration Prediction in High-Cost and Low-Cost W...

引用

16th International conference on advanced Technologies, systems and Services in Telecommunications, TELSIKS 2023

作者： Markovic, Marko Z. Neskovic, Dorde A. Kasca, Lara A. Markovic, Goran B. Drajic, Dejan D. University of Belgrade The School of Electrical Engineering Belgrade11120 Serbia Vlatacom Institute Belgrade11070 Serbia University of Belgrade School of Electrical Engineering Belgrade11120 Serbia The Vlatacom Institute Belgrade11070 Serbia University of Belgrade School of Electrical Engineering Belgrade11200 Serbia University of Belgrade The Innovation Centre of School of Electrical Engineering Belgrade11120 Serbia

ISBN: (纸本)9798350347029

Due to its increasing impact on human health, air pollution is becoming a progressively important topic in modern society. Particulate matter with a diameter of 2.5 μm is cited as one of the main air pollutants. Thus, prediction of concentration of these particles presents a very important research topic. Therefore, in this paper, we observed a Deep Learning based spatial prediction of this concentration realized by using the installed high-cost sensors and/or low-cost sensors, which are simulated. Based on the obtained analysis results, a proposal was made to employ the low-cost sensors, completely or partially, with distributed Deep Learning Neural Networks, instead of the currently used high-cost sensors in the wireless sensor network for PM2.5 concentration measuring. It is shown that in this way we can lower complexity, datasets and time for training without the loss (or even with the gain) in the prediction quality. © 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

Data Gathering Trials for the Development of Military Imaging systems 20

Data Gathering Trials for the Development of Military Imagin...

引用

conference on Electro-Optical and Infrared systems - Technology and applications XX

作者： Niebla, Maria Hickman, Duncan L. Koh, Eunjin ChanyongLee Kim, Hoseong Lim, Chaehyeon Kim, Sunghwan Tektonex Ltd Long View Argyll Rd Kilcreggan Argyll & Bute Scotland Agcy Def Dev 160 Bugyuseong Dero 488beon Gil Daejeon South Korea

ISBN: (数字)9781510667044

ISBN: (纸本)9781510667037

Data gathering trials remain an important part of the development and testing of imaging sensor systems. However, the role of trials has evolved to reflect emergent technology, engineering methodologies, operational requirements, and project constraints such as schedule and cost. The changing nature of data gathering trials is reviewed. Although trial programmes are still used for product acceptance, there has been an increased demand for trial data to support the design process. In this paper, the emphasis is on air-to-ground image-based military systems where the timely availability of relevant image data is critical to the development of advanced image processing software which, in turn, underpins the performance of the latest imaging systems. Other factors which affect the nature of trial programmes are also considered. These include the widespread availability of synthetic image generators and the use of low-cost drones as either targets or sensor platforms. Furthermore, the increasing use of AI data processing techniques demands a larger and more diverse image data set for training and evaluation purposes. Against this background of changing requirements, trial planning has become increasingly important. Although the great flexibility of low-cost commercial drones has resulted in them becoming a preferred solution for camera platforms, they present unique challenges, ranging from logistics through to image truthing of target locations. These issues are discussed, and recommendations made based on experience gained through multiple trial programmes.

关键词： Trials Programmes Imaging System Evaluation Field Testing Drones UAV Ground Truth Image Truth Data Air to Ground Targeting

来源：评论

学校读者我要写书评

暂无评论

Implementation of Backward Key Chain and Hill Cipher for Securing Messages in the Wireless sensor Networks

Implementation of Backward Key Chain and Hill Cipher for Sec...

引用

International conference on advanced Creative Networks and Intelligent systems (ICACNIS) - Blockchain Technology, Intelligent systems, and the applications for Human Life

作者： Samosir, Timothy Jefrin Viali Afianti, Farah Yunanto, Prasti Eko Telkom Univ Sch Comp Bandung Indonesia

ISBN: (纸本)9798350334449

The development of the internet of things (IoT) has been growing, such as wireless sensor networks (WSN). The use of WSN in daily life has helped a lot in various fields. WSN has interconnected nodes with limited memory, resources, and computation. Because of these limitations, messages or data on these nodes are in danger of being tampered with or known by attackers. In this paper, a modification of the broadcast authentication scheme by adding confidentiality to the session key and message is proposed. The session key, produced by a backward key chain, is secured with a modified hill cipher encryption. The experiment results show that the average time required for the hill cipher method for encryption is higher than decryption with a difference of about 0.1579 sec. then the main result of the experiment is the comparison between the ECDH method and the Backward Keychain for both the encryption and decryption process, which results in the Backward Keychain method being better than the ECDH method.

关键词： backward key chain hill cipher IoT WSN

来源：评论

学校读者我要写书评

暂无评论

Review on Adaptive Filtering Techniques in Cooperative Localization and Zone-based ECU Architectures for Automotive systems 9

Review on Adaptive Filtering Techniques in Cooperative Local...

引用

9th International conference on Communication and Electronics systems, ICCES 2024

作者： Jeeva Bharathi, K. Thirumoorthi, P. Prabhakaran, A. Kumaraguru College of Technology Coimbatore India Kumaraguru College of Technology Coimbatore India

ISBN: (数字)9798350377972

ISBN: (纸本)9798350377972

This paper offers a state-of-the-art analysis of the most recent developments in cooperative location estimation using adaptive filters under adverse conditions including compass loss and non-Gaussian noise environment of vehicular networks. Cooperative localization is now an essential feature for autonomous and connected cars and requires reliable algorithms that can handle tricky sensor failures and noise interference. The study is dedicated to the examination of 'A Novel Adaptive Filtering for Cooperative Localization Under Compass Failure and Non-Gaussian Noise,' which describes an adaptive filtering approach aimed at reducing localization errors in systems that do not have compass data and when non-Gaussian noise appears. This approach involves the use of adaptive techniques for the accommodation of varying noise levels to improve the order, and accuracy of location characteristics in real-time. Thus, a comparative analysis of the performance and computational complexity of particle filters, Kalman filters, and extended Kalman filters is given based on the analysis of the performance of different adaptive filtering techniques. Further, we discuss the applications and consequences of the proposed filtering framework for autonomous vehicles' localization systems. These results suggest that the proposed adaptive filtering greatly enhances localization performance in the presence of off-nominal sensors to support more reliable car operations in actual environments. In the final section of the paper, some ideas for the further development of robust localization technologies and the application of advanced machine learning to improve the filtering approach and its adaptability are presented. © 2024 IEEE.

关键词： Adaptive filtering

来源：评论

学校读者我要写书评

暂无评论

Design and Development of a Non-Invasive Glucose Monitoring Device Using advanced Microcontroller 4

Design and Development of a Non-Invasive Glucose Monitoring ...

引用

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

作者： Divya, S. Karthikeyan, P. Vaigundamoorthi, M. Ramya, D. Soudagar, Manzoore Elahi Rajendiran, M. Dr. N.G.P. Institute of Technology Department of Biomedical Engineering Tamil Nadu Coimbatore641048 India Velammal College of Engineering and Technology Department of Electronics and Communication Engineering Tamil Nadu Madurai6641021 India Karpagam Academy of Higher Education Department of Electrical and Electronics Engineering Tamil Nadu Coimbatore641021 India Sri Eshwar College of Engineering Department of Computer Science and Business Systems Tamil Nadu Coimbatore641202 India Saveetha School of Engineering Saveetha Institute of Medical and Techinical Sciences Department of VLSI Microelectronics Tamil Nadu Chennai602105 India Panimalar Engineering College Department of Computer Science and Engineering Tamil Nadu Chennai600123 India

ISBN: (纸本)9798350385793

Millions of individuals all over the world are living with diabetes, a chronic condition that necessitates regular monitoring of Blood Glucose Levels (BGL). The present technique for minimal invasive BGL monitoring involves taking a small blood sample and transferring it to a glucometer. However, this procedure can be uncomfortable for the patient. This research presents a method for non-invasively monitoring BGL with the help of a powerful controller called the ARM Cortex-M4. For non-invasive applications, we use photoplethysmography (PPG) signals. Using a photodiode and an infrared LED light, PPG samples are received from a finger sensor. Signal processing and feature extraction are carried out using the Gray-Level Co-occurrence Matrix (GLCM) method. To predict the BGL, two ML models are developed: one employing a Linear Regression (LR) model and the other an Artificial Neural Network (ANN) model. The experimental findings show that the ANN model is quite effective, with an R2 score of 0.986. After careful consideration, the ARM Cortex-M4 microcontroller's processing capabilities were found to be optimal for running the ANN model. The model must be fine-tuned before deployment so it can communicate with the microcontroller and provide correct inference in real time. The finger sensor simplifies PPG sample collection, and the OLED display makes it simple to view BGL. © 2024 IEEE.

关键词： Photoplethysmography

来源：评论

学校读者我要写书评

暂无评论

Improving Energy Efficiency using Colliding Bodies Optimization based Routing Protocol for Wireless sensor Networks 2

Improving Energy Efficiency using Colliding Bodies Optimizat...

引用

2nd International conference on Electronics and Renewable systems, ICEARS 2023

作者： Prabakaran, P. Shalini, R. Hariharan, N. Marieswari, S. Kumar, Kallakunta Ravi Apoorva, Maturi Gayatri Lakshmi Vels Institute of Science Technology and Advanced Studies School of Computing Sciences Department of Computer Applications Chennai India Vels Institute of Science Technology and Advanced Studies School of Computing Sciences Department of Bca and It Chennai India R.M.K. College of Engineering and Technology Science and Humanities - Eee Thiruvallur601206 India P. S. R. Engineering College Biomedical Engineering India Koneru Lakshmaiah Education Foundation Department of Ece Vaddeswaram India Amrita School of Engineering Ece Department India

ISBN: (纸本)9798350346640

Wireless sensor network (WSN) contains millions of small, low-power gadgets with a lack of resources are memory and battery power. Such gadgets were deployed in a dispersed manner and were often utilized to monitor and sense applications. Owing to constraints and limited resources of WSNs, routing can be a great difficulty. Routing in WSN was the process of choosing the optimal path for data to travel from a source node to a destination node. The goal of routing in WSN offer dependable and effective transmission while minimizing network overhead and energy consumption. This study designs an Energy Efficient Colliding Bodies Optimization based Routing Protocol (EECBO-RP) for WSN. The end goal of the EECBO-RP algorithm lies in the optimal election of routes to a destination. For achieving reasonable results for the minimization of energy exploitation, the EECBO-RP system derives the fitness function using the following variables: residual energy, distance to BS, and node degree. The EECBO-RP technique chooses the relay nodes so that a way that the overall efficiency of the WSN gets maximized. The simulation values of the EECBO-RP system are tested under several dimensions and the outcomes pointed out the betterment of the EECBO-RP technique. © 2023 IEEE.

关键词： Energy efficiency

来源：评论

学校读者我要写书评

暂无评论

Low-Cost Gunshot Detection System with Localization for Community Based Violence Interruption 10

Low-Cost Gunshot Detection System with Localization for Comm...

引用

10th IEEE International conference on Data Science and advanced Analytics, DSAA 2023

作者： Manring, Isaac Hill, James H. Mohler, George Brantingham, P. Jeffrey Williams, Thomas White, Bruce Indiana University - Purdue University Indianapolis Department of Computer and Information Science IN United States Boston College Department of Computer Science Chestnut HillMA United States University of California Department of Anthropology Los AngelesCA United States

ISBN: (纸本)9798350345032

There is growing interest in U.S. cities to shift resources towards community-led solutions to crime and disorder. However, there is a simultaneous need to provide community organizations with access to real-time data to facilitate decision making, to which only the police normally have access. In this work we present a low-cost gunshot detection system with localization that has been developed for community-based violence interruption. The distributed real-time gunshot detection sensor network is linked to a mobile phone-based alert and tasking system for exclusive use by civilian gang interventionists. Here we present details on the system architecture and gunshot detection model, which consists of an Audio Spectrogram Transformer (AST) neural network. We then combine gradient maps of the input to the AST for time of arrival identification with a Bayesian maximum a posteriori estimation procedure to identify the location of gunshots. We conduct several experiments using simulated data, open data from the commercial ShotSpotter detection system in Pittsburgh, and data collected using our devices during live-fire experiments at the Indianapolis Metropolitan Police Department (IMPD) gun firing range. We then discuss potential applications of the system and directions for future research. © 2023 IEEE.

关键词： sensor networks

来源：评论

学校读者我要写书评

暂无评论

Composite and Stretchable Silicone for Niche Profiling applications

Composite and Stretchable Silicone for Niche Profiling Appli...

引用

2024 IEEE sensors conference

作者： Panchaml, Padmanabh Pundrikaksha Mukherjee, Anupam Liu, Teng-Chung Lin, Kun-Han Chiu, Wen-Hsin Liu, Chiang Lo, Cheng-Yao Natl Tsing Hua Univ Inst NanoEngn & MicroSyst Hsinchu 300044 Taiwan Gen Silicones Dept Mkt 9-1 Lane 52Nan Kang St Hsinchu 300104 Taiwan Natl Tsing Hua Univ Dept Kinesiol Hsinchu 300044 Taiwan Univ Taipei Grad Inst Sports Equipment Technol Taipei 111036 Taiwan Natl Tsing Hua Univ Dept Power Mech Engn Hsinchu 300044 Taiwan

ISBN: (纸本)9798350363524;9798350363517

In this work, we developed a silicone and polyurethane (PU)-based composite, which supports stretchable applications. Through material survey, comparison, and mechanical characterization, it was proved that the roll-to-roll manufactured product shows cohesive bonding force over 2 Kg/cm(2), outperforming existing commercialized ones. Eight composite formulations were evaluated through ASTM D5459-95 standard, which indicated outstanding elastic recovery (between 89.72% and 93.65%), permanent deformation (between 6.35% and 10.28%) and stress retention (between 68.34% and 92.32%). In addition, a three-dimensional profiling that incorporated the developed composite further demonstrated its supportiveness on advanced sensing systems that require material stretchability.

关键词： Composite Joule heating polyurethane sensor silicone

来源：评论

学校读者我要写书评

暂无评论

Dual-functional Internet of Meta-material Things Networks: Integrated Sensing and Communication

Dual-functional Internet of Meta-material Things Networks: I...

引用

IEEE conference on Global Communications (IEEE GLOBECOM) - Intelligent Communications for Shared Prosperity

作者： Xu, Zhiquan Liu, Xu Zhang, Hongliang Song, Lingyang Peking Univ Sch Elect Engn & Comp Sci Beijing Peoples R China Peking Univ Sch Elect Beijing Peoples R China Peking Univ Sch Elect & Comp Engn Shenzhen Grad Sch Shenzhen Peoples R China

ISBN: (纸本)9798350310900

The Internet of Meta-material Things (Meta-IoT) has significant potential for future IoT applications due to its ability to function without a battery and its ease of maintenance. Specially, the environmental information can be obtained by analyzing the frequency response of Meta-IoT sensor from the reflected signals. Through the reflection, these Meta-IoT sensors can also provide additional paths for improving communication performance while performing sensing. In this paper, we design a dual-functional Meta-IoT network for integrated sensing and communication (ISAC), i.e., the Meta-IoT sensors can sense environmental conditions and facilitate communication simultaneously. However, ensuring the quality of both sensing and communication for multiple users is not trivial since the impact of the sensor structure on sensing and communication at the same time. Moreover, a customized beamforming scheme is required to balance the performance of two functions. To address these challenges, we optimize the sensor structure and the transmit beamforming. Simulation results show that the communication performance can be significantly improved with the proposed scheme while the sensing performance is guaranteed.

关键词： Integrated sensing and communication MetaIoT meta-material sensor

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 << < 20 21 22 23 24 25 26 27 28 29 > >>

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：