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

30,426 篇 会议
297 篇 期刊文献
40 册 图书

馆藏范围

30,763 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

18,587 篇 工学
- 15,165 篇 计算机科学与技术...
- 6,510 篇 信息与通信工程
- 6,264 篇 软件工程
- 5,557 篇 电气工程
- 2,806 篇 控制科学与工程
- 1,088 篇 动力工程及工程热...
- 972 篇 机械工程
- 938 篇 仪器科学与技术
- 838 篇 电子科学与技术（可...
- 423 篇 测绘科学与技术
- 402 篇 网络空间安全
- 355 篇 生物工程
- 289 篇 安全科学与工程
- 271 篇 交通运输工程
- 231 篇 生物医学工程（可授...
- 226 篇 建筑学
- 212 篇 石油与天然气工程
- 199 篇 土木工程
3,237 篇 理学
- 1,852 篇 数学
- 588 篇 系统科学
- 541 篇 物理学
- 442 篇 统计学（可授理学、...
- 413 篇 生物学
- 233 篇 化学
2,672 篇 管理学
- 2,069 篇 管理科学与工程(可...
- 835 篇 图书情报与档案管...
- 743 篇 工商管理
428 篇 医学
- 344 篇 临床医学
- 179 篇 基础医学(可授医学...
239 篇 法学
188 篇 经济学
- 187 篇 应用经济学
109 篇 农学
74 篇 军事学
53 篇 教育学
48 篇 文学
13 篇 艺术学
1 篇 历史学

主题

4,966 篇 wireless sensor ...
3,275 篇 distributed comp...
1,700 篇 sensor systems
1,120 篇 protocols
1,049 篇 distributed comp...
1,043 篇 monitoring
1,010 篇 computer archite...
976 篇 cloud computing
961 篇 computer network...
911 篇 computer science
884 篇 distributed data...
834 篇 sensors
825 篇 computational mo...
817 篇 wireless communi...
795 篇 robot sensing sy...
661 篇 application soft...
629 篇 routing
567 篇 sensor phenomena...
564 篇 internet of thin...
561 篇 peer to peer com...

机构

40 篇 department of co...
33 篇 shanghai jiao to...
30 篇 department of co...
30 篇 ieee
29 篇 distributed syst...
28 篇 school of comput...
27 篇 tsinghua univers...
26 篇 school of comput...
24 篇 suny stony brook...
22 篇 nanjing univ sta...
21 篇 georgia inst tec...
21 篇 state key labora...
19 篇 georgia state un...
19 篇 hong kong univ s...
18 篇 school of comput...
18 篇 institute of par...
17 篇 shanghai jiao to...
17 篇 georgia inst tec...
17 篇 univ chinese aca...
16 篇 tsinghua univ de...

作者

88 篇 dustdar schahram
52 篇 rajkumar buyya
35 篇 hong-linh truong
28 篇 zomaya albert y.
27 篇 klaus wehrle
27 篇 wu jie
26 篇 liu yang
26 篇 wehrle klaus
25 篇 yang yang
22 篇 wang lei
20 篇 fortino giancarl...
19 篇 duerr frank
18 篇 lei wang
18 篇 wang guojun
17 篇 li li
16 篇 rinner bernhard
16 篇 liu ling
14 篇 zhang lei
14 篇 stankovic john a...
14 篇 xhafa fatos

语言

30,483 篇 英文
168 篇 其他
114 篇 中文
3 篇 法文
2 篇 俄文
1 篇 葡萄牙文
1 篇 土耳其文

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

共 30763 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：

Integrative Optimization Framework for Strategic distributed Generation Placement and Sizing to Enhance Loss Minimization and Voltage Stability in Power Distribution Networks

Integrative Optimization Framework for Strategic Distributed...

引用

Intelligent Control, computing and Communications (IC3), international conference on

作者： Kashi Sai Prasad Aravinda K Jay Singh Atul Singla Savita Kumari Sajjad Ziara Gotlur Karuna Department of CSE-AI&ML MLR Institute of Technology Hyderabad Telangana India Electronics and Communication Engineering New Horizon College of Engineering Bangalore India Dept. of EEE GL Bajaj Institute of Technology and Management Gr. Noida U.P. India Lovely Professional University Phagwara India Department of Electrical Electronics & Communication Engineering Galgotias university Gerater Noida Uttar Pradesh India Radiology Techniques Department College of Medical Technology The Islamic University Najaf Iraq Department Computer Science Engineering (AIML) Gokaraju Rangaraju Institute of Engineering and Technology Hyderabad India

ISBN: (数字)9798331527495

ISBN: (纸本)9798331527501

The location and scale of distributed generation (DG) units are critical for minimizing losses and enhancing the performance of distribution networks. This research establishes the optimization approach for establishing the optimal location of the dg, especially solar PV and wind turbines using the ieee 37-bus system as the test feeder. Having this in mind, this work applied a unified approach based on Pandapower, a versatile Python-based power systems tool, combining optimization and power flow computations. The algorithm analyzes a range of DG technologies and penetration levels to determine the effectiveness of decreasing loss, considering variability in renewable generation and load demand to increase realism. The single-tool forms presented in the paper show practical application potential and offer a better understanding of the best approaches to DG integration that would benefit grid stability and energy efficiency in the distribution networks of the future.

关键词： Renewable energy sources Electric potential Voltage fluctuations Uncertainty Distribution networks Power system stability Stability analysis distributed power generation Wind turbines Optimization

来源：评论

学校读者我要写书评

暂无评论

Highly Reliable Information Interaction and Sharing Based on distributed Collaboration Communication

Highly Reliable Information Interaction and Sharing Based on...

引用

ieee international conference on Industrial Technology (ICIT)

作者： Mingxuan Xu Haifeng Song Shourong Wu Min Zhou Hairong Dong School of Automation and Intelligence Beijing Jiaotong University Beijing China School of Electronic and Information Engineering Beihang University Beijing China Institute of Computing Technology China Academy of Railway Sciences Corporation Limited Beijing China Design Institute of Signal & Communication Beijing National Railway Research Beijing China School of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao China

ISBN: (数字)9798331521950

ISBN: (纸本)9798331521967

To improve the operational efficiency and reliability of high-speed trains (HSTs), the Automatic Train Control System has received considerable attention. Train-to-Train (T2T) communication is one of the critical technologies for autonomous train operation. However, the development of $T 2 T$ communication technology still faces many challenges, particularly regarding communication distance limitations and reliability issues. To address these challenges, this paper introduces an innovative T2T collaborative communication model for HSTs, focusing on highly reliable information interaction and sharing in distributed collaboration environments. The model employs dynamic and static nodes to enable direct T2T information exchange. Using formal verification and state space analysis to ensure the system's reliability and performance. A Build-in-Test (BIT) mechanism is implemented for fault detection and isolation, enhancing the reliability of the system. By analyzing the performance indicators of the system in different scenarios, the reliability of the system was verified.

关键词： Fault detection Collaboration Focusing Control systems Communications technology Reliability Information exchange Faces Formal verification

来源：评论

学校读者我要写书评

暂无评论

Proceedings - 2019 39th ieee international conference on distributed computing systems, ICDCS 2019

Proceedings - 2019 39th IEEE International Conference on Dis...

引用

39th ieee international conference on distributed computing systems, ICDCS 2019

ISBN: (纸本)9781728125190

The proceedings contain 212 papers. The topics discussed include: WiMi: target material identification with commodity Wi-Fi Devices;quorum selection for byzantine fault tolerance;road gradient estimation using smartphones: towards accurate estimation on fuel consumption and air pollution emission on roads;automating system configuration of distributed machine learning;DMRA: a decentralized resource allocation scheme for multi-SP mobile edge computing;the cask effect of multi-source content delivery: measurement and mitigation;and maintaining social connections through direct link placement in wireless networks.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Proceedings - 17th Annual international conference on distributed computing in sensor systems, DCOS 2021

Proceedings - 17th Annual International Conference on Distri...

引用

17th Annual international conference on distributed computing in sensor systems, DCOS 2021

ISBN: (纸本)9781665439299

The proceedings contain 74 papers. The topics discussed include: leveraging cross-technology broadcast communication to build gateway-free smart homes;semi-supervised contrastive learning for human activity recognition;Batterfly: battery-free daily living activity recognition system through distributed execution over energy harvesting analog pir sensors;towards context aware adaptive deployment in ML applications using state machines;resource-constrained target classification on distant aerial targets;an IoT-based system for autonomous, continuous, real-time patient monitoring and its application to pressure injury management;and segregating keys from noncense: timely exfil of ephemeral keys from embedded systems.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Network Intruder Detection and Cyber Attack Prediction System

Network Intruder Detection and Cyber Attack Prediction Syste...

引用

international conference on ent computing and Control systems (ICICCS)

作者： K. Ravikumar Praveenkumar U Ruban A Sudarsan D S Sunthar Shree L Department of Information Technology M. Kumarasamy College of Engineering

ISBN: (数字)9798331512088

ISBN: (纸本)9798331512095

Wireless networks have undergone significant advancements, enabling users to access the internet without the need for physical connections to a router. This flexibility has facilitated the widespread adoption of Internet of Things (IoT) devices, such as smartphones, drones, and cameras, which rely on wireless technologies like Infrared, Bluetooth, IrDA, and ieee 802.11 for seamless connectivity. These devices often operate in complex configurations, allowing hundreds to thousands of users to connect simultaneously, thereby enhancing performance and driving high-profit margins. However, the proliferation of IoT networks has also introduced significant security challenges. Wireless networks are increasingly vulnerable to dangerous web attacks, which pose a substantial threat to IoT ecosystems. IoT networks are particularly sensitive to such attacks, and even simple Denial of Service (DoS) attacks can disrupt entire networks, rendering devices unable to provide their intended services. This is especially concerning when IoT networks support critical applications or perform essential functions. Despite considerable efforts to enhance IoT security, the success rate in preventing web attacks remains insufficient. One promising approach to improving network security is the implementation of Intrusion Detection systems (IDS). These systems can leverage data mining techniques to detect and mitigate web attacks effectively. Among the various machine learning algorithms available, the XGBoost algorithm has emerged as a powerful tool for enhancing the accuracy and efficiency of IDS.

关键词： Performance evaluation Wireless sensor networks Wireless LAN Machine learning algorithms Accuracy Wireless networks Intrusion detection Prediction algorithms Classification algorithms Internet of Things

来源：评论

学校读者我要写书评

暂无评论

Communications in a Trust-Triggered Cyber-Physical-Human System for Human-Robot Collaborative Manufacturing

Communications in a Trust-Triggered Cyber-Physical-Human Sys...

引用

Robotics and Technologies for Industrial Automation (ROBOTHIA), ieee international conference on

作者： S. M. Mizanoor Rahman Mechanical Engineering Pennsylvania State University Dunmore USA

ISBN: (数字)9798350356755

ISBN: (纸本)9798350356762

We proposed a human-robot bidirectional trust-triggered cyber-physical-human (CPH) system framework for human-robot collaborative assembly in flexible manufacturing. For this purpose, we developed a one human-one robot hybrid cell where a human and a robot collaborated with each other to perform the assembly operation of different manufacturing components in a flexible manufacturing setup. We configured the human-robot collaborative system in three interconnected components of a CPH system: (i) cyber system (software system), (ii) physical system (the robot, sensors, hardware accessories, and the work environment), and (iii) human system (the human co-worker and the supervisor). We divided the functions of the CPH system into three modules: (i) computing, (ii) communication, and (iii) control. We used a model to compute the human and robot's bidirectional trust in each other in real-time. We implemented the proposed trust-triggered CPH framework in the human-robot collaborative assembly setup and conducted an experiment to modulate the communication methods and strategies among the cyber, physical and human components of the CPH system. The results showed that variations in communication methods significantly impacted the performance and interactions of the CPH system in terms of human-robot interaction (HRI), and task performance (efficiency and quality). The results can transform the design, development, analysis and control of human-robot collaborative systems configuring them in the form of a CPH system and thus enhance the scope, ease and effectiveness of human-robot collaborative systems for various applications such as manufacturing, construction, etc.

关键词： Service robots Collaboration Human-robot interaction Transforms Robot sensing systems sensor systems Real-time systems System software sensors Assembly

来源：评论

学校读者我要写书评

暂无评论

Proceedings - 14th Annual international conference on distributed computing in sensor systems, DCOSS 2018

Proceedings - 14th Annual International Conference on Distri...

引用

14th Annual international conference on distributed computing in sensor systems, DCOSS 2018

ISBN: (纸本)9781538654705

The proceedings contain 25 papers. The topics discussed include: distributed mining of popular paths in road networks;white space prediction for low-power wireless networks: a data-driven approach;projection-based constrained fusion performance with link loss and measurement bias;recursive truth estimation of time-varying sensing data from online open sources;on designing provably correct DODAG formation criteria for the IPv6 routing protocol for low-power and lossy networks (RPL);duty-cycle-aware real-time scheduling of wireless links in low power WANs;knowledge transfer between embedded controllers;resilient distributed diffusion for multi-task estimation;leveraging knowledge for path exposure;frequency scaling in time synchronization for wireless sensor networks;and on cost-sensitive task allocation in social sensing: an online learning approach.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Proceedings - 18th Annual international conference on distributed computing in sensor systems, DCOSS 2022

Proceedings - 18th Annual International Conference on Distri...

引用

18th Annual international conference on distributed computing in sensor systems, DCOSS 2022

ISBN: (纸本)9781665495127

The proceedings contain 67 papers. The topics discussed include: end-to-end gesture recognition framework for the identification of allergic rhinitis symptoms;semi-supervised multi-source domain adaptation in wearable activity recognition;real-time human pose estimation at the edge for gait analysis at a distance;SELF-CARE: selective fusion with context-aware low-power edge computing for stress detection;publishing asynchronous event times with pufferfish privacy;tradeoff between accuracy and message complexity for approximate data aggregation;low-power distinct sum for wireless sensor networks;a software-defined underwater visible light communication testbed;a differential BCG sensor system for long term health monitoring experiment on the ISS;network economics-based crowdsourcing in UAV-assisted smart cities environments;and cost-aware inference of bovine respiratory disease in calves using precision livestock technology.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Precise Fault Distance Prediction in distributed Generators-Integrated Transmission Lines Using CNN-LSTM Ensemble Networks

Precise Fault Distance Prediction in Distributed Generators-...

引用

Power, Control and computing Technologies (ICPC2T), conference on

作者： Pavan Kumar Bais Narendra D. Londhe Electrical Engineering Department National Institute of Technology Raipur Raipur India

ISBN: (数字)9798331530402

ISBN: (纸本)9798331530419

Precise fault distance estimation is critical for effective transmission system protection, especially in modern power systems with integrated distributed generators (DGs). As the global demand for energy continues to rise, the adoption of renewable energy sources and their integration into the grid has significantly increased. However, the presence of various DGs complicates fault distance estimation due to the diverse power flows and interactions between DGs and existing grid infrastructure. The integration of large-scale DGs introduces additional challenges in fault detection and location, as the dynamic behavior of these generators affects the fault characteristics. This paper focuses on precise fault distance estimation within the ieee-9 bus system, which includes two distinct DGs. The proposed solution leverages an ensemble deep learning approach, combining convolutional neural networks (CNNs) and long short-term memory (LSTM) networks. This hybrid CNN-LSTM model takes advantage of CNN’s ability to extract spatial features and LSTM’s strength in capturing temporal dependencies, making it well-suited for fault distance prediction. The model’s performance is evaluated using mean absolute error (MAE), giving 0.6387 average MAE for the studied system. Comparative analysis with existing deep learning models and validated through OPAL-RT 4510 real-time simulator shows that the proposed model delivers superior performance, demonstrating its effectiveness in handling the complexities introduced by DG integration.

关键词： Deep learning Power system dynamics Estimation Predictive models Power system stability Feature extraction Generators Real-time systems Power system reliability Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Quantum Long Sort-Term Memory-based Identification of distributed Denial of Service Attacks

Quantum Long Sort-Term Memory-based Identification of Distri...

引用

AI in Cybersecurity (ICAIC), international conference on

作者： Sarvapriya Tripathi Himanshu Upadhyay Jayesh Soni Electrical and Computer Engineering Florida International University Miami USA

ISBN: (数字)9798331518882

ISBN: (纸本)9798331518899

distributed Denial of Service (DDoS) is defined as an attack targeting a server, where the server is overwhelmed by an overflow of traffic, leading to a computer system being compromised. To prevent these attacks from happening, thus allowing the computer systems to maintain their normal behavior, a long short-term memory (LSTM) Time-Series model can recognize sequential characteristics in the data in order to predict whether a DDoS attack is occurring. Our approach leverages various aspects of network traffic such as Flow ID, Source IP, Destination IP, and Destination Port, and analyzes the accuracy and reliability using LSTMs to improve DDoS attack prediction accuracy. In this study we analyzed the relative efficiency of Quantum LSTM (QLSTM) over that of Classical LSTM, and found that both Quantum and Classical LSTM models train quickly and within a few epochs the accuracy increases to 0.99 and above. The validation of the models proved that QLSTM achieved better Recall, Accuracy, Precision, and F1 scores as compared to classical LSTM, making it an ideal candidate for DDoS attack predictions. This study proves the potential of applying deep learning techniques to strengthen network security, which has become increasingly important with the rise of complex cybersecurity threats.

关键词： Accuracy Quantum computing Telecommunication traffic Predictive models Denial-of-service attack Servers IP networks Reliability Computer crime Long short term memory

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：