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

5,663 篇 会议
35 篇 期刊文献
7 册 图书

馆藏范围

5,705 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

4,351 篇 工学
- 3,354 篇 计算机科学与技术...
- 1,741 篇 电气工程
- 1,630 篇 信息与通信工程
- 1,221 篇 软件工程
- 650 篇 控制科学与工程
- 353 篇 测绘科学与技术
- 345 篇 动力工程及工程热...
- 270 篇 机械工程
- 219 篇 电子科学与技术（可...
- 200 篇 仪器科学与技术
- 117 篇 石油与天然气工程
- 107 篇 化学工程与技术
- 105 篇 安全科学与工程
- 92 篇 生物工程
- 82 篇 网络空间安全
- 75 篇 材料科学与工程（可...
- 74 篇 交通运输工程
- 69 篇 生物医学工程（可授...
- 57 篇 土木工程
- 56 篇 建筑学
797 篇 理学
- 403 篇 数学
- 165 篇 物理学
- 135 篇 化学
- 109 篇 生物学
- 94 篇 系统科学
- 94 篇 统计学（可授理学、...
561 篇 管理学
- 403 篇 管理科学与工程(可...
- 223 篇 图书情报与档案管...
- 154 篇 工商管理
94 篇 医学
- 84 篇 临床医学
62 篇 法学
58 篇 经济学
38 篇 农学
17 篇 教育学
17 篇 军事学
7 篇 文学
3 篇 艺术学

主题

1,054 篇 wireless sensor ...
177 篇 sensor systems
164 篇 sensor nodes
157 篇 wireless sensor ...
157 篇 distributed comp...
151 篇 wireless communi...
150 篇 sensors
143 篇 monitoring
143 篇 sensor networks
126 篇 cloud computing
117 篇 protocols
116 篇 internet of thin...
113 篇 routing
108 篇 distributed comp...
105 篇 energy efficienc...
87 篇 energy consumpti...
75 篇 optimization
75 篇 sensor phenomena...
75 篇 distributed data...
74 篇 security

机构

14 篇 shanghai jiao to...
10 篇 nanjing univ sta...
10 篇 tu wien distribu...
9 篇 suny stony brook...
9 篇 institute of com...
7 篇 department of co...
7 篇 missouri univ sc...
7 篇 state key labora...
7 篇 univ virginia de...
6 篇 nanjing universi...
6 篇 department of co...
6 篇 automation and c...
6 篇 ieee
6 篇 shihezi universi...
6 篇 carnegie mellon ...
6 篇 imperial coll lo...
6 篇 chinese academy ...
5 篇 nanjing univ pos...
5 篇 univ sci & techn...
5 篇 hong kong polyte...

作者

14 篇 wang wei
13 篇 dustdar schahram
11 篇 wu jie
11 篇 cao jiannong
10 篇 stankovic john a...
10 篇 beigl michael
10 篇 agrawal dharma p...
9 篇 bar-noy amotz
9 篇 voigt thiemo
9 篇 wang cong
9 篇 rothermel kurt
8 篇 vassiliou vasos
8 篇 rinner bernhard
8 篇 kulau ulf
8 篇 wolf lars
8 篇 nikoletseas soti...
8 篇 abdelzaher tarek
8 篇 chen guihai
8 篇 liu yunhao
7 篇 roedig utz

语言

5,604 篇 英文
89 篇 其他
13 篇 中文
1 篇 俄文

检索条件"任意字段=5th IEEE International Conference on Distributed Computing in Sensor Systems"

共 5705 条记录，以下是141-150 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：

(POSTER) SmartTwins: Secure and Auditable DLT-based Digital Twins for the WoT 18

(POSTER) SmartTwins: Secure and Auditable DLT-based Digital ...

引用

18th Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Pittaras, Iakovos Polyzos, George C. Athens Univ Econ & Business Sch Informat Sci & Technol Dept Informat Mobile Multimedia Lab Athens Greece

ISBN: (纸本)9781665495127

Digital Twins and the Internet of things (IoT) are two of the most prominent recent concepts and technologies. the IoT supports many applications that merge the physical with the cyber world. this highlights the need for improved security. Here, we argue that digital twins can help in securing and strengthening the IoT by using them for interacting with the actual IoT devices. While most digital twins implementations are centralized, we propose to integrate distributed Ledger Technologies (DLTs) and digital twins into the IoT to realize decentralized, secure, available, flexible, and auditable blockchain-based IoT services for IoT devices that follow the W3C Web of things (WoT) standards. In this work, we present the design of SmartTwin, a blockchain-based digital twin framework for which we provide two different implementations using two different blockchains, we present the design trade-offs, and we discuss future research and development directions.

关键词： Digital Twins distributed Ledger Technologies Internet of things Sensing Actuation Blockchain Ethereum Hyperledger Fabric Auditability Availability

来源：评论

学校读者我要写书评

暂无评论

Intelligent Agent Based Clustering and Optimal Multipath Routing for Energy-Efficient Wireless sensor Networks in Smart City Applications: A distributed AI-Driven Approach 5th

Intelligent Agent Based Clustering and Optimal Multipath Rou...

引用

5th international conference on computing Science, Communication and Security

作者： Patra, Binaya Kumar Mishra, Sarojananda Patra, Sanjay Kumar Mallik, Ashutosh Roy, Souveek Indira Gandhi Inst Technol Dept Comp Sci Engn & Applicat Sarang 759146 Odisha India GIET Univ Dept Comp Sci Engn Gunupur Odisha India

ISBN: (纸本)9783031751691;9783031751707

the study proposes an innovative approach to enhance energy efficiency in Wireless sensor Networks (WSNs) for smart city applications. the primary focus is on leveraging distributed artificial intelligence (AI) and multipath routing techniques to address challenges such as unequal clustering, poor cluster head selection, and excessive power consumption within WSNs. the approach uses agent-based clustering, where autonomous AI agents dynamically form clusters of sensor nodes based on real-time data characteristics. these clusters are then used for multipath routing, optimizing energy consumption, reliability, and congestion reduction. the distributed nature of AI agents allows for adaptive cluster formations. this algorithm aims to address issues related to uneven clustering, inefficient cluster head selection, and excessive power consumption. Additionally, the integration of agent-based clustering is proposed, involving the deployment of autonomous AI agents that dynamically cluster sensor nodes based on real-time data properties. these AI agents facilitate self-organization and adaptability, ensuring that clusters accurately reflect the evolving data landscape in urban environments. the approach also employs sophisticated energy management strategies at the sensor node level, such as duty cycling, adaptive transmission power control, and sleep-wake scheduling. Simulations in a smart city environment show significant improvements in energy efficiency, prolonging the network's operational lifespan and improving service quality by mitigating data loss and latency issues. this approach contributes to the sustainable development and performance optimization of smart city infrastructure.

关键词： Wireless sensor Networks Smart Cities Clustering distributed Artificial Intelligence Multipath Routing Energy Efficiency

来源：评论

学校读者我要写书评

暂无评论

Solar Irradiance Forecasting Utilizing distributed and Federated Learning 25

Solar Irradiance Forecasting Utilizing Distributed and Feder...

引用

25th ieee international conferences on High Performance computing and Communications, 9th international conference on Data Science and systems, 21st ieee international conference on Smart City and 9th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Applications, HPCC/DSS/SmartCity/DependSys 2023

作者： Zhang, Hao Yan, Ke College of Information Engineering China Jiliang University Hangzhou China China Jiliang University National University of Singapore Singapore

ISBN: (纸本)9798350330014

Photovoltaic energy generation and prediction are crucial for the integration between solar plants and smart grid. Accurate solar radiation prediction is one of the most important research topics for solar energy generation. Existing deep learning methods require sufficient data for training for achieving the desired results. In traditional deep learning modeling, the data sets required for model training usually come from various data in different regions and organizations, and it is difficult to ensure data security and privacy protection. Federated learning can effectively utilize the data optimization model while ensuring data security and privacy, but there is still the risk of privacy leakage by analyzing the parameters uploaded by the client. To effectively utilize data optimization models while ensuring data security and privacy, we propose a method based on a federated learning framework and N-BEATS to achieve interpretable time series prediction of solar irradiance. the model builds the N-BEATS model on the solar irradiance datasets of multiple institutions in a distributed method, does not share local data to protect institutional data privacy, the concept of differential privacy (DP) is introduced, Gaussian noise is added to the parameters of the client before the server-side aggregation processing, the model parameters of each distributed node are collected through TCP communication for federated average, and the parameters are returned to each distributed node. the experimental results show that compared with other deep learning models, the model has better prediction accuracy under the premise of ensuring data security and privacy. © 2023 ieee.

关键词： Solar radiation

来源：评论

学校读者我要写书评

暂无评论

HFPSA: A Hybrid Fuzzy Logic, Particle Swarm Optimization and Simulated Annealing Mechanism for sensor Node Localization 5

HFPSA: A Hybrid Fuzzy Logic, Particle Swarm Optimization and...

引用

5th international conference on Data Intelligence and Cognitive Informatics, ICDICI 2024

作者： Vishwas, H.N. Ramesh, T.K. Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science and Engineering Bengaluru India Amrita Vishwa Vidyapeetham Amrita School of Engineering Department of Electronics and Communication Engineering Bengaluru India

ISBN: (纸本)9798350389609

Wireless sensor networks have been adopted widely in various application and these networks play crucial role in numerous real-time monitoring systems. However, the event occurrence, detection of event and localizing the event are the crucial aspect of these networks. Accurate node localization in WSNs is essential for various applications, including environmental monitoring and military surveillance. However, conventional methods like trilateration frequently face challenges due to issues like signal attenuation and environmental obstacles, resulting in substantial localization errors in real-world settings. the main aim of this article is to overcome these challenges by developing and a hybrid localization approach that improves both accuracy and reliability in WSN node localization. the proposed approach uses a combination of particle swarm optimization with simulated annealing with RSSI based distance estimation mechanism. Moreover, this approach also uses Fuzzy logic model to handle the uncertainty in distance error measurement. the combination of these model is validated by measuring the performance by simulating the WSN localization environment where proposed HFPSA has reported improve localization performance by reducing the overall localization error. © 2024 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

Utilizing Carriers for the Energy Node Placement Algorithm in WSNs and IoT Networks 18

Utilizing Carriers for the Energy Node Placement Algorithm i...

引用

18th Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Temene, Natalie Sergiou, Charalampos Georgiou, Chryssis Vassiliou, Vasos Univ Cyprus Dept Comp Sci Nicosia Cyprus CYENS Ctr Excellence Nicosia Cyprus

ISBN: (纸本)9781665495127

the limitations of the networks of Internet of things (IoTs) and Wireless sensor Networks (WSNs) in terms of computational power, memory and connectivity give rise to several issues that need to be tackled, mostly dynamically, to achieve their tasks. Definitively, a critical factor for the proper operation of these networks is to maintain the connectivity between the nodes, especially in a wireless mesh setting, where communication is performed in hop-by-hop fashion. A method that gains significant research interest for tackling the aforementioned issues is the employment of mobile nodes or as they are frequently called, mobile elements. In this work, we propose a scheme that utilizes carriers to transport mobile nodes to the required points in the network. We provide both a high level description of the concept and also a detailed algorithmic solution. the proposed solution is evaluated through a case study, where hot-spots are created due to congestion in the network and mobile elements are being used to resolve the problem. the experimental results demonstrate that the proposed algorithm can effectively restore the network operation. We believe that our proposed approach can be used to solve similar types of problems.

关键词： Internet of things Wireless sensor Networks Energy Efficiency Mobile Nodes Mobile Robots Drones

来源：评论

学校读者我要写书评

暂无评论

Practical Integration of IoT sensor Data with Open-Source ERP: Optimizing Processes, Driving Insights, and Enabling Smart Vision and Full Business Automation 5

Practical Integration of IoT Sensor Data with Open-Source ER...

引用

5th international conference on Artificial Intelligence, Robotics and Control (AIRC)

作者： Lamey, Ahmed Abdelkader, Hatem Keshk, Arabi Eletriby, Sherif Minoufia Univ Fac Comp & Informat Comp Sci Dept Menoufia Egypt Minoufia Univ Informat Syst Dept Fac Comp & Informat Menoufia Egypt

ISBN: (纸本)9798350385083;9798350385076

the integration of Internet of things (IoT) sensor data with Enterprise Resource Planning (ERP) systems has emerged as a pivotal technology-driven initiative, offering vast potential for process optimization, enhanced data-driven decision-making, and profound business impact. this research endeavors to delve into this integration, comprehensively examining the implications for organizations, with a practical project serving as a proof of concept. the study scrutinizes the intricacies of IoT sensor integration with ERP systems, shedding light on the optimization of business processes and the extraction of valuable data insights. In addition, the research extends its focus towards "smart vision" technologies, aiming to achieve a higher level of automation and real-time decision support. the core of this research lies in the practical project, where a proof of concept is executed to integrate temperature sensors with the Odoo ERP system. this project serves as a real-world demonstration of the integration's applicability and the tangible benefits it brings. By bridging the gap between theoretical concepts and practical implementation through this proof of concept, the study aims to provide actionable insights for organizations looking to harness the power of IoT sensor data, smart vision, and automation within their ERP systems. the outcomes of this research not only contribute to the growing body of knowledge on IoT-ERP integration but also provide a roadmap for organizations to leverage these technologies effectively in the modern business landscape.

关键词： IoT sensors ERP systems Smart Technology Industrial Automation Business Process Optimization Smart Manufacturing Industry 4.0 Smart Solutions

来源：评论

学校读者我要写书评

暂无评论

Efficient Energy Management by Using SJF Scheduling in Wireless sensor Network 1

引用

5th international conference on Advances in distributed computing and Machine Learning, ICADCML 2024

作者： Mohapatra, Hitesh Kolhar, Manjur Dalai, Asish Kumar School of Computer Engineering KIIT Deemed to be University Odisha Bhubaneswar751024 India Department of Computer Science College of Arts and Science Prince Sattam bin Abdulaziz University Al-Kharj16278 Saudi Arabia VIT AP University AP Amaravati India

ISBN: (数字)9789819718412

ISBN: (纸本)9789819718405

A wireless sensor network is a collection of small, low-power devices called sensors that are deployed in an area to monitor and gather data from the surrounding environment. sensors can be deployed in two type either in a static way or in mobile way. this work have presented a optimized routing strategy by using shortest job first techniques. In this model the computation time has been used to schedule the sleep and wake up phase of sensor nodes. the simulation result shows the better energy management with this technique. the result shows that the energy management through shortest job first technique outperforms by 46.52% then first come, first served, and Round Robin techniques. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Energy management

来源：评论

学校读者我要写书评

暂无评论

Adaptive ResNet Architecture for distributed Inference in Resource-Constrained IoT systems 19

Adaptive ResNet Architecture for Distributed Inference in Re...

引用

19th ieee international Wireless Communications and Mobile computing (ieee IWCMC)

作者： Khan, Fazeela Mazhar Baccour, Emna Erbad, Aiman Hamdi, Mounir Hamad Bin Khalifa Univ Qatar Fdn Coll Sci & Engn Doha Qatar

ISBN: (纸本)9798350333398

As deep neural networks continue to expand and become more complex, most edge devices are unable to handle their extensive processing requirements. therefore, the concept of distributed inference is essential to distribute the neural network among a cluster of nodes. However, distribution may lead to additional energy consumption and dependency among devices that suffer from unstable transmission rates. Unstable transmission rates harm real-time performance of IoT devices causing low latency, high energy usage, and potential failures. Hence, for dynamic systems, it is necessary to have a resilient DNN with an adaptive architecture that can downsize as per the available resources. this paper presents an empirical study that identifies the connections in ResNet that can be dropped without significantly impacting the model's performance to enable distribution in case of resource shortage. Based on the results, a multi-objective optimization problem is formulated to minimize latency and maximize accuracy as per available resources. Our experiments demonstrate that an adaptive ResNet architecture can reduce shared data, energy consumption, and latency throughout the distribution while maintaining high accuracy.

关键词： optimization distributed inference neural networks resilience ResNet

来源：评论

学校读者我要写书评

暂无评论

Synergistic Multi-sensor Fusion for Enhanced Vehicle Safety and Security-Integrating Advanced Technologies and Intelligent systems 5

Synergistic Multi-Sensor Fusion for Enhanced Vehicle Safety ...

引用

5th ieee international conference on Advances in computing, Communication Control and Networking, ICAC3N 2023

作者： Akilan, T. Manikandan, P. Pushpavanam, B. Swedheetha, C. Naveen, P. Sinha, Jaya Amity University Dept. Of Iqac Kolkata India Kalasalingam Academy Of Research And Education Dept. Of Ece Krishnankoil India Psna College Of Engineering And Technology Dept. Of Eee Dindigul India Velammal College Of Engineering And Technology Dept. Of Cse Madurai India Kpr Institute Of Engineering And Technology Dept. Of Eee Coimbatore India Galgotias College Of Engineering And Technology Computer Science And Engineering Greater Noida India

ISBN: (纸本)9798350330861

the integration of multiple sensors and advanced technologies in the field of vehicle safety and security has emerged as a promising approach to enhance overall road safety and protect vehicles from potential threats. this paper presents a comprehensive study on the concept of synergistic multi-sensor fusion for advanced vehicle safety and security, focusing on the integration of cutting-edge technologies and intelligent systems. the proposed framework involves fusing data from various sensors to obtain a comprehensive and accurate perception of the vehicle's surroundings and safety of the driver. By combining the strengths of each sensor, the system overcomes individual limitations and provides robust detection and recognition capabilities. Firstly, it enables accurate and timely detection of potential hazardous gas, infront nearest obstacle detection, accident identification this allowing the vehicle to take proactive measures to avoid collisions. Secondly, it enhances security by detecting and mitigating threats, such as fingerprint-based security system, theft alert. Additionally, the integration of intelligent systems enables driver safety measure based on driver heart rate monitoring, fire detection, current location detection and prone zone vehicle control. this paper highlights the significance of synergistic multi-sensor fusion in advancing vehicle safety and security. the integration of advanced technologies and intelligent systems enables robust detection, recognition, and decision-making capabilities, contributing to a safer and more secure driving experience. © 2023 ieee.

关键词： Intelligent systems

来源：评论

学校读者我要写书评

暂无评论

indexPDT: A High Scalable distributed Classification Approach with Novel Cache Structure for Geo-location 25

indexPDT: A High Scalable Distributed Classification Approac...

引用

作者： Sun, Zhijie Li, Jing Xie, Jun Zheng, Binfan Zeng, Li Zhao, Rongqian Huawei Technologies Co. Ltd. Shenzhen China

ISBN: (纸本)9798350330014

Geo-location, also known as measurement report (MR) location, is a technique to determine the geographic location of user equipment (UE) and the behaviour attribute of telephone traffic based on wireless signals measured by the mobile communication network. the geographic location information can help to support network performance monitoring and evaluation. Considering accuracy and cost, we mainly adopt a hybrid location scheme combined with feature matching location and Weighted Centroid Correction Location (WCCL). As for feature matching location, over 20 billion samples gathered from tens of thousands of cells daily updated. Due to the vast data scale, feature analysis encounters a severe performance bottleneck. To address this problem, we design the indexed parallel decision tree (indexPDT) operator and integrate it into WindTensor, a self-innovated distributed machine learning (ML) engine. indexPDT is a classifier unit of the random forest (RF) algorithm with a novel cache structure. It performs structured cache processing on the dataset's meta-information, which can accompany the splitting of nodes. the cache structure can be quickly converted into statistical information to help find the optimal splitting point, effectively reducing memory usage and improving performance. Under the public datasets testing on 5 nodes, the mean speedup ratios are 86x and 3x compared with SparkML and XGBoost, respectively. In the Geo-location scenario, for a single cell, the speedup ratios are 82x and 4x compared with SparkML and XG Boost, respectively. © 2023 ieee.

关键词： Location

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 << < 11 12 13 14 15 16 17 18 19 20 > >>

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：