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
- 405 篇 控制科学与工程
- 323 篇 软件工程
- 243 篇 信息与通信工程
- 142 篇 动力工程及工程热...
- 123 篇 电子科学与技术（可...
- 106 篇 机械工程
- 101 篇 石油与天然气工程
- 81 篇 环境科学与工程（可...
- 76 篇 交通运输工程
- 50 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
408 篇 理学
- 301 篇 数学
- 72 篇 系统科学
- 58 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

1,555 篇 英文
83 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111-120 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：

Multi-Objective Cavity Filter Design Based on SR-BP Neural network Surrogate Model Optimized by Slime Mould Algorithm 3

Multi-Objective Cavity Filter Design Based on SR-BP Neural N...

引用

2023 IEEE 3rd International conference on Data Science and Computer Application, ICDSCA 2023

作者： Zhang, Wei Qin, Jian Deng, Jiabing Wei, Peng Guangzhou University School of Electronic and Communication Engineering Guangzhou China

ISBN: (纸本)9798350341546

Aiming to solve the issues of large time cost, low efficiency, and high computational complexity in the design of cavity filters using traditional approaches, a multi-objective design approach for cavity filters based on the Slime Mould Algorithm (SMA) optimized Sparse Regularized BP neural network (SR-BP) surrogate model is proposed. This method first utilizes BP neural network to construct a surrogate model for cavity filter. Subsequently, a regularization term is added to its cost function, enabling further sparsity in the standard fully connected neural network. This achieves the reduction of model computational complexity and mitigates the risk of overfitting. To tackle the challenges of global optimization and control of sparse regularization intensity, the SMA is draw into the SR-BP neural network to optimize initial connection parameters and the sparse regularization factor. Finally, the optimized SMA-SR-BP surrogate model for the cavity filter is integrated with the multi-objective bionic intelligent optimization algorithm to solve the optimization design problem of multi-objective cavity filters. © 2023 IEEE.

关键词： BP neural network Cavity filter design multi-objective optimization slime mould algorithm sparse regularization surrogate model

来源：评论

学校读者我要写书评

暂无评论

Stochastic Scheduling for Stability of networked control Systems - A Short Review 3

Stochastic Scheduling for Stability of Networked Control Sys...

引用

3rd IEEE International conference on Intelligent Technologies, CONIT 2023

作者： Guduru, Jahnavi Azad, S.M.A.K. VIT AP University School of Electronics Engineering Amaravati India

ISBN: (纸本)9798350338607

With the increasing adoption of networked control systems in industrial process automation, it is crucial to ensure their effectiveness in data transmission. The challenges such as time delays, packet dropouts and bandwidth allocation are involved in data transmission over a networked control system. To maintain the stability of process control, the network connecting field devices is essentially analysed. This paper aims to provide informative trends on challenges in networked control systems supported to process control. It includes the review of methods used to improve stability and maintain the time delays, packet dropouts, and other intermediate challenges like bandwidth allocation collected from the literature. Moreover, the paper delivers the stochastic nature of network scheduling through various theories like Markov, Lyapunov, Swarm optimization, Monte Carlo, NBM, DNS, Dempster's combination etc. Overall, this study can assist readers in comprehending the potential for stochastic scheduling in networked control systems for process automation. © 2023 IEEE.

关键词： Time delay

来源：评论

学校读者我要写书评

暂无评论

Ship Intrusion Detection Technology Based on Bayesian optimization Algorithm and XGBoost 3

Ship Intrusion Detection Technology Based on Bayesian Optimi...

引用

3rd International conference on Electrical Engineering and control Science, IC2ECS 2023

作者： Zhou, Aobo Zhu, Qi Zhang, Jundong Meng, Ke School of Marine Engineering Dalian Maritime University Liaoning Dalian China

ISBN: (纸本)9798350382426

Cybersecurity is a prerequisite for maritime safety. This study focuses on intelligent ship integrated automation system, analyzing the principles and shortcomings of these system. We propose a machine learning-based intrusion detection solution that utilizes Recursive Feature Elimination (RFE) as a feature selection algorithm and XGBoost as a classification algorithm. The Bayesian optimization algorithm is applied to optimize the hyperparameters of the XGBoost model for detecting anomalous network data. Results indicate that, compared to decision trees, logistic regression, random forests, KNN, and recent research findings, the proposed method exhibits smaller estimation errors with an overall accuracy of 99.8%. It effectively reduces vulnerabilities in ship networks, achieving a F1-score of 96.37% and a recall rate of 96.33% under sufficient dataset conditions. This approach enhances network security performance and elevates the cybersecurity level of intelligent ships. © 2023 IEEE.

关键词： Anomaly detection intelligent ship integrated automation system shipboard network security XGBoost algorithm

来源：评论

学校读者我要写书评

暂无评论

Minimization of Computational Error by Using optimization Power Transmit via Lagrange-Duality Method in Wireless Channels 3

Minimization of Computational Error by Using Optimization Po...

引用

3rd IEEE Asian conference on Innovation in Technology, ASIANCON 2023

作者： Mishra, Rahul Chitkara University Institute of Engineering and Technology Chitkara University Centre for Interdisciplinary Research in Business and Technology Punjab India

ISBN: (纸本)9798350302288

The use of optimization techniques in power transmission has been gaining importance over the last decades. With the advance of technology, optimal power systems have been proven to be much more efficient than conventional ones. These power systems minimize computational errors due to their optimization strategies like dynamic programming, genetic algorithms, discrete optimization, and fuzzy logic. This helps in reducing cost and allows for the implementation of intelligent power flow control. Furthermore, the optimization techniques provide an effective method for calculating the optimum power distribution and regulating voltage. Furthermore, optimization power systems help to increase the safety of power distribution and reduces the need for human intervention in critical electricity networks. As a result, it can reduce overall operational cost as well as improve overall power reliability. Additionally, optimal power transmission systems also help decrease inappropriate use of energy, reduce cost of engineering, and improves the network reliability. © 2023 IEEE.

关键词： Electric power distribution

来源：评论

学校读者我要写书评

暂无评论

Volt/Var control of Active Distribution network Based on Unified Power Quality Conditioners: A Receding Horizon control Strategy 3

Volt/Var Control of Active Distribution Network Based on Uni...

引用

3rd International conference on Electrical Engineering and control Science, IC2ECS 2023

作者： Zhu, Xiaoguang Zhang, Juning Li, Ao Sha, Pengcheng Li, Shurong Deng, Junbo School of Electrical Engineering Xi'an Jiaotong University Xi'an China

ISBN: (纸本)9798350382426

The Volt/Var control (VVC) of active distribution network (ADN) is challenged by uncertainty of renewable energy and load. This paper proposes a receding horizon control (RHC) strategy for the optimized VVC of ADN based on multiple unified power quality conditioners (UPQCs). A virtual branch based UPQC power injection model is proposed by combining the equivalent models of series unit (SEU) and parallel unit (SHU). On this basis, a uniform framework of optimal power flow (OPF) is established to achieve the VVC in the ADN with UPQCs. The proposed RHC strategy of UPQCs includes four stages: model prediction, rolling optimization, error correction, and feedback iteration. A case study is carried out in the modified IEEE 33-node ADN, which shows the effectiveness, progressiveness and the potential of online application of the proposed strategy. © 2023 IEEE.

关键词： Active distribution network (ADN) component receding horizon control (RHC) Unified power quality conditioner (UPQC) VoltlVar control (VVC)

来源：评论

学校读者我要写书评

暂无评论

Research on multi-connection network selection algorithm based on SACM-FA 3

Research on multi-connection network selection algorithm bas...

引用

2023 IEEE 3rd International conference on Data Science and Computer Application, ICDSCA 2023

作者： Dong, Lin Beijing University of Posts and Telecommunications Century College Beijing China

ISBN: (纸本)9798350341546

The proposed algorithm in this paper is called the Step-Adaptive Firefly Algorithm (SAFA), which is based on the Cubic Chaotic Mapping and SACM-FA. This algorithm combines the firefly algorithm with chaotic optimization theory. It utilizes chaotic sequences to randomly generate initial positions for fireflies, ensuring the randomness of initial individuals. It also introduces an adaptive search step to enhance the diversity of the population. The algorithm performs optimization operations while satisfying the QoS guarantees of users and obtains the optimal allocation of wireless resources through multiple iterations. The SACM-FA algorithm optimizes bandwidth allocation and power control problems in the uplink environment of ELWA (Enhanced Land Mobile Wireless Access) systems with multiple coexisting service types. It improves user utility and satisfaction. The simulation results demonstrate that the SACM-FA algorithm can improve the throughput of wireless systems and effectively enhance network performance in ELWA systems with multiple coexisting service types. Compared to traditional network selection algorithms, the improved algorithm can effectively balance network load and significantly improve user satisfaction. © 2023 IEEE.

关键词： Enhanced Land Mobile Wireless Access network selection SACM-FA

来源：评论

学校读者我要写书评

暂无评论

Research on Distributed optimization and Dispatch Strategy for Grid-Connected Microgrid Cluster Based on Alternating Direction Method of Multipliers 3

Research on Distributed Optimization and Dispatch Strategy f...

引用

3rd International conference on Energy, Power and Electrical Technology, ICEPET 2024

作者： Wan, Qingzhu Shi, Chenlu North China University of Technology College of Electrical and Control Engineering Beijing100144 China

ISBN: (纸本)9798350352658

The coordinated optimization of microgrid clusters is an effective way to ensure the reliable operation of microgrid group system. Aiming at the minimum total operation cost of microgrid group, a distributed optimal scheduling strategy based on alternating direction multiplier method is proposed for grid-connected microgrid group. First, a total operating cost model of a microgrid group is established, which includes battery storage operating cost, inter-microgrid power transaction cost, power transaction cost of each microgrid and distribution network, and interactive power fluctuation penalty cost of a common coupling point. Then, the total operating cost model is equivalent to the sub-target of each microgrid by taking advantage of the mutual offset of power transaction costs among microgrids. Taking the interactive power of microgrid as the coupling variable, a distributed solution method based on alternating direction multiplier method is presented. Finally, an example shows that the proposed distributed scheduling method can reach convergence after about 22 iterations, which has good feasibility. © 2024 IEEE.

关键词： Operating costs

来源：评论

学校读者我要写书评

暂无评论

Research application of BP neural network algorithm based on genetic algorithm optimization 3

Research application of BP neural network algorithm based on...

引用

2023 IEEE 3rd International conference on Data Science and Computer Application, ICDSCA 2023

作者： Chi, Haodong Xie, Jingde Qinghai University Xining China

ISBN: (纸本)9798350341546

In this paper, based on the ACS dataset, the original data were firstly preprocessed by excluding abnormal data, classification and interpolation operations to obtain complete, effective, intuitive and concise data. Secondly, the correlation relationship model of hybrid genetic BP neural network was proposed, and the training accuracy reached 0.99994. Then, the unit step method was used to discretize each independent variable in the chemical reaction, and the network relationship after training using BP neural network was obtained by the control variable method, and the data of the dependent variable changed with them were derived separately, and the trend analysis of the dependent variable when the independent variable changed was obtained by the different independent variables on the dependent variable. The prediction error percentage of the nine sample data in the test set was 0.06% at maximum, and the error analysis results were good. © 2023 IEEE.

关键词： BP neural network correlation model Genetic algorithm

来源：评论

学校读者我要写书评

暂无评论

An Effective Anomaly Detection Model Combined Feature Selection with Improved CNN in SDN 3

An Effective Anomaly Detection Model Combined Feature Select...

引用

3rd Asia-Pacific conference on Communications Technology and Computer Science (ACCTCS)

作者： Wang, Yu Yi, Xiushuang Bao, Zhangjun Yu, Beiming Northeastern Univ Coll Comp Sci & Engn Shenyang Peoples R China

ISBN: (纸本)9798350310801

The frequent intrusion of anomalous traffic has consistently remained a critical concern in the domain of network security. Software-Defined networking (SDN) is an innovative architecture that outperforms traditional architectures. However, the decoupled nature of its central control layer and underlying data devices makes it vulnerable to anomalous intrusions. To address the shortcomings of existing anomaly detection methods in terms of incomplete feature selection and insufficient detection efficiency, we propose an improved Convolutional Neural network (CNN) based anomaly traffic detection model for SDN architecture. An improved swarm intelligence optimization algorithm (OGSSA) is utilized to filter the optimal subset of features, followed by a CNN that references the attention module (ECA-CNN) as the classifier. We perform experimental simulations using the InSDN dataset and compare it with a variety of traditional algorithms and deep neural networks. The findings indicate that the feature mixture algorithm and CNN detection model we designed are appropriate and effective in identifying normal and malicious network activities.

关键词： Software-Defined networking (SDN) Anomaly Detection Convolutional Neural network Feature Selection

来源：评论

学校读者我要写书评

暂无评论

optimization of point-to-point trading with multiple microgrids based on the Stackelberg game 3

Optimization of point-to-point trading with multiple microgr...

引用

3rd International conference on Energy and Electrical Power Systems (ICEEPS)

作者： Wang, Fangsheng Li, Dapeng Dou, Dawei Bao, Li Cao, Yang Zhang, Wenxin Zhou, Xiaotong Fan, Yijun East Inner Mongolia Power Exchange Ctr Co Ltd Hohhot Peoples R China North China Elect Power Univ Sch Econ & Management Beijing Peoples R China

ISBN: (纸本)9798350375145;9798350375138

A microgrid cluster composed of multiple microgrids can improve system stability and economic efficiency through energy mutualization. However, multi-microgrid transaction involves all parties in the game, how to balance the interests of various market players is an important topic in the current multi-microgrid research. In this regard, it is proposed to adopt Stackelberg game to study the point-to-point transaction strategy of multi-microgrid. The operation and revenue model of each unit within the micro-network is established, and the multi-micro-network transaction model is constructed. Under this game framework, with the goal of maximizing the revenue of multi-micro-networks, cooperative trading among micro-networks is incentivized by deciding the optimal transaction price. The micro-network control center as a follower gives the trading strategy under the premise of guaranteeing its own revenue. A microgrid cluster consisting of four microgrids is analyzed as an example, and the iterative search method is applied to solve the Nash equilibrium. The simulation results show that this method can improve the distributed energy utilization and reduce the system operation cost compared with the independent operation of each microgrid off-grid.

关键词： Multi-micro-networks peer-to-peer transactions Stackelberg game iterative search method

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 << < 8 9 10 11 12 13 14 15 16 17 > >>

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：