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

1,614 篇 会议
27 篇 期刊文献
2 册 图书

馆藏范围

1,643 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,137 篇 工学
- 658 篇 计算机科学与技术...
- 453 篇 电气工程
- 404 篇 控制科学与工程
- 323 篇 软件工程
- 243 篇 信息与通信工程
- 141 篇 动力工程及工程热...
- 122 篇 电子科学与技术（可...
- 106 篇 机械工程
- 100 篇 石油与天然气工程
- 80 篇 环境科学与工程（可...
- 76 篇 交通运输工程
- 49 篇 材料科学与工程（可...
- 49 篇 安全科学与工程
- 43 篇 仪器科学与技术
- 43 篇 生物工程
- 28 篇 土木工程
- 26 篇 航空宇航科学与技...
- 25 篇 力学（可授工学、理...
- 24 篇 网络空间安全
- 21 篇 水利工程
407 篇 理学
- 301 篇 数学
- 72 篇 系统科学
- 57 篇 物理学
- 56 篇 统计学（可授理学、...
- 49 篇 生物学
218 篇 管理学
- 196 篇 管理科学与工程(可...
- 72 篇 工商管理
- 29 篇 图书情报与档案管...
29 篇 经济学
- 29 篇 应用经济学
13 篇 医学
12 篇 法学
12 篇 农学
7 篇 军事学
1 篇 教育学

主题

134 篇 optimization
39 篇 particle swarm o...
35 篇 neural networks
35 篇 genetic algorith...
31 篇 genetic algorith...
29 篇 wireless sensor ...
26 篇 neural network
25 篇 quality of servi...
24 篇 routing
22 篇 reinforcement le...
22 篇 heuristic algori...
21 篇 model predictive...
21 篇 simulation
21 篇 control systems
21 篇 voltage control
21 篇 mathematical mod...
20 篇 reactive power
19 篇 ant colony optim...
19 篇 resource managem...
18 篇 controllers

机构

6 篇 china electric p...
6 篇 beijing jiaotong...
5 篇 school of new en...
4 篇 school of electr...
4 篇 faculty of trans...
4 篇 changsha univers...
4 篇 state grid corpo...
4 篇 college of elect...
4 篇 power dispatchin...
4 篇 school of manage...
3 篇 state key labora...
3 篇 shanghai jiao to...
3 篇 indian inst tech...
3 篇 global energy in...
3 篇 school of electr...
3 篇 china elect powe...
3 篇 key lab measurem...
3 篇 shanghai jiao to...
3 篇 guangzhou power ...
3 篇 institute of sha...

作者

5 篇 zhang yan
5 篇 wang jun
4 篇 wang jian
4 篇 wang wei
4 篇 yang xu
4 篇 liu yu
4 篇 chen wei
4 篇 zhang yong
3 篇 zhou jie
3 篇 choudhury subhas...
3 篇 yu yixiao
3 篇 roy provas kumar
3 篇 zhang zhang
3 篇 sha linxiu
3 篇 lin zhichao
3 篇 li hengjie
3 篇 peng chen
3 篇 wang li
3 篇 yong zhang
3 篇 zhao liang

语言

1,556 篇 英文
82 篇 其他
7 篇 中文

检索条件"任意字段=3rd Euro-NF Conference on Network Control and Optimization"

共 1643 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：

Research on Safety Production Risk control System Based on Bayesian Theorem 3

Research on Safety Production Risk Control System Based on B...

引用

3rd International conference on New Energy and Power Engineering, ICNEPE 2023

作者： Xin, Mingyong Xu, Changbao Feng, Qihui Electric Power Research Institute of Guizhou Power Grid Co. Ltd Guiyang China

ISBN: (纸本)9798350393224

The large-scale complex line operations have led to increasing safety production risks such as personal injury, transmission line accidents, and relay protection. Therefore, this paper proposes a dynamic risk management system for power safety production based on Bayesian theorem. Firstly, the composition and design framework of the intelligent safety production risk management information system in the power system were detailed. Bayesian theorem was introduced, and the structure and parameters of the Bayesian network were updated and optimized based on actual safety production risk factors. Subsequently, safety production risk assessment and diagnosis were carried out, and the analysis results were used to control the risk of on-site production operations, It has been proven that the proposed method provides quantifiable data support and dynamic adaptability for risk assessment standards, improving the scientificity and adaptability of risk assessment standards. © 2023 IEEE.

关键词： bayesian theorem parameter optimization risk assessment risk factors safety production

来源：评论

学校读者我要写书评

暂无评论

Automatic Saline Reversal control System using IoT 3

Automatic Saline Reversal Control System using IoT

引用

3rd IEEE International conference on Intelligent Techniques in control, optimization and Signal Processing, INCOS 2024

作者： Bhuvaneswary, N. Rajesh, V. Aravinth, T. Hemand Surya, M. Karkuvel, M. Syed Haroon, M. Kalasalingam Academy of Research and Education Department of Ece Tamil Nadu Krishnankovil India

ISBN: (数字)9798350361186

ISBN: (纸本)9798350361186

In this study introduces an innovative Internet of Things (IoT)-based alert system designed for medical settings, with the primary goal of preventing saline reversal incidents. The administration of saline is crucial for patient recovery in healthcare facilities, but lapses in staff attention can lead to dangerous reversals. Our proposed system strategically places sensors in the saline network to detect improper flow, specifically backflow of blood, and promptly notifies medical staff via mobile message upon detection. If saline levels drop below a predefined limit, the sensor stops the flow and sends an alert. A user-friendly web application allows real-time monitoring of flow rates. The core components of the system include the ESP8266 as the master controller, a load cell for precise bottle weight measurement, and a servo motor for drip control. Efficient alerts are sent through the IFTTT server, ensuring timely communication via SMS or call. This technological innovation significantly enhances patient safety by reducing harmful incidents associated with saline administration. The web app provides healthcare staff with a convenient platform to monitor current saline levels, marking a critical advancement in healthcare technology for improved patient care and safety. © 2024 IEEE.

关键词： Sensor networks

来源：评论

学校读者我要写书评

暂无评论

Divide and Cache: A Novel control Plane Framework for Private 5G networks 20

Divide and Cache: A Novel Control Plane Framework for Privat...

引用

IEEE 20th Consumer Communications and networking conference (CCNC)

作者： Park, Taeho Lee, Hochan Kim, Heewon Han, Subin Kim, Taeyun Pack, Sangheon Korea Univ Sch Elect Engn Seoul South Korea

ISBN: (纸本)9781665497343

To support a wide range of vertical services in fifthgeneration (5G), a concept of private 5G has gained a great attention. Even though several deployment models for private 5G have been reported in the literature, they have not fully utilized the benefit of modularized control plane (CP) network functions (nfs) for better performance and cost efficiency. In addition, their qualitative and quantitative analysis has not been conducted yet. In this paper, we propose a novel CP framework for private 5G dubbed divide and cache (D&C). In D&C, the dependency and frequency of CP nfs are first analyzed based on the 3rd generation partnership project (3GPP) specification. Based on the analysis results, nfs are split into on-premise and edge/public clouds to balance the tradeoff between performance and cost. Also, a new nf called nf profile cache function (nfPCF) is built in on-premise to mitigate the signaling overhead. We implemented D&C over a private 5G testbed using an open-source software (i.e., free5GC). Evaluation results demonstrate that D&C can achieve 19% lower deployment cost at the expense of slightly increased latency compared to the existing model.

关键词： Private 5G control plane cache free5GC open-source software testbed

来源：评论

学校读者我要写书评

暂无评论

Human fall detection based on improved particle swarm optimization algorithm and neural network 3

Human fall detection based on improved particle swarm optimi...

引用

3rd International conference on Computer Vision, Image and Deep Learning and International conference on Computer Engineering and Applications, CVIDL and ICCEA 2022

作者： Zhou, Chaowei Xiao, Jie Xiong, Aimin Zhang, Caifeng South China Normal University School of Physics and Telecommunication Engineering Guangzhou China Qingyuan HuaYun Smart Control Technology Co. Ltd Qingyuan China Scnu Qingyuan Institute of Science and Technology Innovation Co. Ltd Qingyuan China

ISBN: (纸本)9781665459112

As the global population continues to age, fall detection has become a common concern in the field of public safety. Fast and accurate detection of falling behaviors in surveillance videos and timely sending out help signals can effectively reduce the injuries caused by falls in the elderly. This paper proposes a hybrid algorithm based on an improved particle swarm optimization algorithm and a neural network for real-time fall detection in indoor environments. Human keypoints in video frames are first extracted using the alphapose model, and then the human keypoints are classified in real-time using an improved particle swarm optimization neural network model. Experimental results show that this method can effectively detect falling behaviors in indoor scenes. © 2022 IEEE.

关键词： Neural networks

来源：评论

学校读者我要写书评

暂无评论

Analysis of the Behavior of a Standalone PV System Based on Classical and Advanced MPPT Algorithms 3

Analysis of the Behavior of a Standalone PV System Based on ...

引用

3rd International conference on Advanced Electrical Engineering, ICAEE 2024

作者： Farou, Meriem Djellad, Abdelhak Chiheb, Sofiane Lalaymia, Hala Bouderess, Nacer National Higher School of Technology and Engineering Ensti Ltse Laboratory Annaba23005 Algeria Brothers Mentouri University Department of Electrical Engineering Constantine25000 Algeria

ISBN: (纸本)9798350349351

Over the last few years, several control methods for Maximum Power Point Tracking (MPPT) of Photovoltaic (PV) systems have been developed to ensure that the solar cells operate at their maximum power point under varying conditions as the temperature and irradiance change. The work of this paper is dedicated to a comprehensive comparative analysis of both classical: Incremental Conductance (InC), Perturb and Observe (P&O), Hill climbing (HC), and advanced: Fuzzy Logic control (FLC), Artificial Neural network (ANN), Particle Swarm optimization (PSO) MPPT algorithms, all of them have been created for PV system and simulated to obtain the various system responses such as the power and the voltage on Direct Current (DC) load. The results of the simulation tests confirmed that the algorithm based on ANN has the fastest response time;the respective stability percentages of HC, FLC, ANN, P&O, InC, and PSO were found to be 76%, 88.9%, 96.9%, 97.03%, 97.05%, and 97.5%. © 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

Deep Reinforcement Learning (DRL) based data analytics framework for Edge based IoT devices latency and resource optimization 3

Deep Reinforcement Learning (DRL) based data analytics frame...

引用

3rd International conference on Advances in Computing, Communication, Embedded and Secure Systems, ACCESS 2023

作者： Majjari, Sudhakar Anne, Koteswara Rao George, Joseph Kalasalingam Academy of Research and Education Department of CSE Tamil Nadu Krishnankoil India Adi Shankara Institute of Engg. and Technology Department of CSE Kaladyi India

ISBN: (纸本)9798350346169

Internet of Things (IoT) trends show rising data processing computational needs. Sensor data is uploaded to backend cloud nodes before data analyses at the network edge. IoT devices are usually resource-constrained and unable to execute operations quickly and accurately. Cloud servers are impractical and increase communication overhead. Cloud platforms offer machine learning services with pretrained models to understand IoT data. To use the cloud service, personal data must be transferred, and network problems may impede timely analysis results. Data and analysis are shifting to edge platforms to solve these concerns. Most edge devices can't analyze and train a lot of data. Edge-enabled systems provide efficient compute and control at the network edge to reduce scalability and latency. IoT applications provide large heterogeneous data, which makes edge computing difficult. To solve this issue, Deep Reinforcement Learning (DRL) based data analytics framework for Edge based IoT devices to enable devices to execute tasks jointly, leveraging proximity and resource complementarity. It supports parallel data input and strengthen the comprehensive communication overhead handling through data scheduling optimization. The simulation results conveys that the proposed approach uses DRL to optimize execution accuracy and time without requiring a priori IoT node information. Moreover, the average delay time, percentage of failure and cost of rewards are computed in which being compared with the existing scheduling methods includes Proximal Policy optimization technique (PPO), and Deep Deterministic Policy Gradient technique (DDPG). © 2023 IEEE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

Self-triggered control for linear systems based on hierarchical reinforcement learning with RNNs 24

Self-triggered control for linear systems based on hierarchi...

引用

3rd International conference on Computer, Artificial Intelligence and control Engineering, CAICE 2024

作者： Chen, Wei Wan, Haiying Luan, Xiaoli Liu, Fei Key Laboratory of Advanced Process Control for Light Industry Institute of Automation Jiangnan University Wuxi China

ISBN: (纸本)9798400716942

In this research, we introduce a novel model-free self-triggered control strategy for linear systems, employing a hierarchical reinforcement learning approach. This strategy establishes a dual-Actor Critic hierarchical architecture, utilizing two neural networks that guide each other's decision-making to simulate the triggering and control strategies in self-triggered control. The triggering strategy, serving as the top-level policy, aims to find the maximum triggering interval that maintains system stability based on the initial control strategy. The control strategy, as the bottom-level policy, under the guidance of the triggering strategy, takes the optimization of control performance considering the impact of triggering intervals as a sub-goal. This approach reduces the exploration space of the bottom-level policy and accelerates the reinforcement learning process. In the implementation of the dual-Actor Critic algorithm, the Critic network employs recurrent neural networks to capture the temporal dependencies of expected rewards, thereby enhancing the efficiency and accuracy in approximating the Q-function. The efficacy of our proposed method is demonstrated through a series of numerical simulations. Theory of computation∼Theory and algorithms for application domains∼Machine learning theory∼Reinforcement learning∼Sequential decision making. © 2024 ACM.

关键词： Federated learning

来源：评论

学校读者我要写书评

暂无评论

Game-Theoretic Mixed H2/H∞ control with Sparsity Constraint for Multi-Agent control Systems 62

Game-Theoretic Mixed H2/H∞ Control with Sparsity Constraint...

引用

62nd IEEE conference on Decision and control (CDC)

作者： Lian, Feier Chakrabortty, Aranya Duel-Hallen, Alexandra Udemy Inc 600 Harrison St3rd Floor San Francisco CA 94107 USA North Carolina State Univ Elect & Comp Engn Raleigh NC 27695 USA

ISBN: (纸本)9798350301243

A mixed H-2/H-infinity control problem under a sparsity constraint is investigated for multi-agent control systems (MAS) to provide robustness against model uncertainty and to reduce the communication cost. First, proximal alternating linearized minimization (PALM) is employed to develop a centralized social optimization algorithm, which is guaranteed to converge to a globally optimal sparse controller. Next, we investigate a noncooperative game that accommodates different control performance criteria of the agents and propose a best-response dynamics algorithm based on PALM. A special case of this game produces a partially distributed social optimization solution. We validate the proposed algorithms using a network with open-loop-unstable nodes and demonstrate superiority of the PALM-based method to a previously investigated sparsity-constrained mixed H-2/H-infinity controller.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Research on optimal scheduling method of active distribution network considering multi-type flexible resources 3

Research on optimal scheduling method of active distribution...

引用

2023 3rd International conference on Smart Grid and Energy Internet, SGEI 2023

作者： Song, Jigao Li, Siwi Jiang, Yan Beijing FibrLink Communications Co. Ltd. Beijing China

With the increase in the utilization rate of renewable energy, the volatility and uncertainty of active distribution networks have become more significant. Comprehensive consideration of the coordination and optimization of multiple resources can improve the flexibility of the system and promote energy consumption. Effective substitution Quantitative modeling is carried out considering a large number of flexible resources based on the flexibility of nodes and networks, combined with the physical characteristics of node flexible resources. Through the analysis of the implementation principle, control mode, and operation characteristics of the soft open point of network flexibility resource, the operation model of the soft open point with combined energy storage is established. On this basis, there are two elasticity evaluation indicators: elasticity adequacy and transmission adequacy. And we incorporate flexible benefits into optimization goals. Multiple optimization scheduling models have been created, including economy node flexibility, and network flexibility. Finally, multiple target particle swarm optimization algorithms will use the proposed scheduling model, combined with trend calculation and validation, using an improved IEEE33 node system. © Published under licence by IOP Publishing Ltd.

关键词： Elasticity

来源：评论

学校读者我要写书评

暂无评论

False Data Injection Attack Diminishing the Performance of controllable Devices in Active Distribution networks 3

False Data Injection Attack Diminishing the Performance of C...

引用

3rd International conference on Energy, Power and Electrical Engineering, EPEE 2023

作者： Tang, Xu Wang, Jing Ran, Xiaohong Liu, Kaipei Qin, Liang School of Electrical Engineering and Automation Wuhan University Wuhan China School of Electrical and Electronic Engineering Nanyang Technological University Jurong west Singapore

ISBN: (纸本)9798350318180

Due to the necessity of coordinating the operation of controllable devices in active distribution networks (ADNs) to optimize power flow, information systems are extensively integrated to form the ADN cyber-physical system (CPS). This integration exposes ADNs to the threat of false data injection attacks (FDIAs). This paper proposes a double-layer FDIA model to diminish the optimization performance of controllable devices on power flows while maintaining attack stealth, which causes power losses and voltage deviations to deviate as much as possible from their optimal states. Unlike the FDIA in transmission networks, which solely inject false data into load demand, this model injects false data into both photovoltaics (PVs) output and load demand simultaneously, achieving the attack objective through their combined manipulation. Simulation results demonstrate that implementing FDIA based on the proposed model can significantly diminish the optimization performance of controllable devices, such as soft open points (SOPs), on power flows while ensuring concealment, which reveals the vulnerability of ADNs to FDIA threats. © 2023 IEEE.

关键词： Active distribution network Coordinated control False data injection attack

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165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：