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

1,615 篇 会议
27 篇 期刊文献
2 册 图书

馆藏范围

1,644 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

1,446 篇 英文
193 篇 其他
8 篇 中文

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

共 1644 条记录，以下是381-390 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：

A Priority-Based Congestion control Algorithm for Wireless Sensor networks 3

A Priority-Based Congestion Control Algorithm for Wireless S...

引用

3rd International conference on Issues and Challenges in Intelligent Computing Techniques, ICICT 2022

作者： Tshilongamulenzhe, Tshimangadzo M. Mathonsi, Topside E. Duplessis, D.P. Mphahlele, Maredi I. Tshwane University of Technology Department of Information Technology Pretoria South Africa

ISBN: (纸本)9781665482684

Wireless Sensor networks (WSNs) is an area that has generated an increasing interest currently worldwide. WSNs fall under IEEE 802.11 standard in which wireless network is formed by sensor nodes (SNs) that interconnect with each other through wireless links. SNs are capable of sensing, processing, and communicating via a wireless channel in a harsh environment, and most of them are battery powered. WSNs are mostly used for traffic communication in different environments such as irrigations, healthcare, home, and the military. WSNs are implemented to monitor temperature, humidity, pressure, among others within the network environment. The implementation of WSNs in various environment came with different challenges such as traffic congestion. The traffic congestion that occurs during packet transmission is normally occurs when there is buffer overflow. As a result, packet loss, packet delay, and network throughput impairment occurred during packet transmission within the network. This paper proposed a Priority-Based Congestion control (PBCC) algorithm in order to manage packet distribution to avoid the buffer overflow in WSNs while improving Quality of Service (QoS). The Particle Swarm optimization Gravitational Search Algorithm (PSOGSA) and Weighted Priority based Fair Queue Gradient Rate control (WPFQGRC) were integrated in order to develop the proposed PBCC algorithm. network Simulator 2 (NS-2) was used to test the effectiveness of the proposed PBCC algorithm. The simulation results showed that the proposed PBCC algorithm reduced the packet loss by 29.4%, packet delay by 32.6%, and improved network throughput by 96.8% when compared with PSOGSA and WPFQGRC algorithms. © 2022 IEEE.

关键词： Sensor nodes

来源：评论

学校读者我要写书评

暂无评论

To Study and Analyze State-of-the-Art network optimization Techniques in an IoT Ecosystem 3

To Study and Analyze State-of-the-Art Network Optimization T...

引用

3rd International conference on Advances in Computing, Communication control and networking, ICAC3N 2021

作者： Pal, Meenakshi Shruti Bhatia, Munish Lovely Professional University Department of Computer Science and Engineering Punjab Phagwara India

ISBN: (纸本)9781665438117

With the technology's growth, the internet is being heavily used for exchanging data among various devices interconnected in billions. Huge data is transmitted over the network of the Internet of Things (IoT), which leads to various network problems such as routing, congestion, scalability, authentication, comprehensive security, and many more. Hence, it is necessary to provide the solution to these network problems. The optimization techniques play a vital role in the better performance of the network. This paper addresses, a detailed review, and analysis of network optimization in the IoT. This article explored several network optimization algorithms as well as network parameters in the IoT. Further, various challenges and issues about the optimization of networks in IoT have been described. At last, the paper is concluded with the state-of-the-art solution for network optimization in the IoT network. © 2021 IEEE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

Sequence Alignment-based Similarity Metric in Evolutionary Neural Architecture Search 3

Sequence Alignment-based Similarity Metric in Evolutionary N...

引用

3rd International conference on Automated Machine Learning, AutoML 2024

作者： Pava, Mateo Ávila Groh, René Kist, Andreas M. Erlangen Germany

Neural Architecture Search (NAS) has emerged as a powerful method for automating the design of deep neural networks across diverse applications, with evolutionary optimization showing particular promise in addressing its intricate demands. However, the effectiveness of this approach highly depends on balancing exploration and exploitation, ensuring that the search does not prematurely converge to suboptimal solutions while still achieving near-optimal outcomes. This paper addresses this challenge by proposing a novel similarity metric inspired by global sequence alignment from biology. Unlike most of the existing methods that require trained model weights for comparison, our metric operates directly on neural network architectures within the defined search space, eliminating the need for model training when comparing two architectures. We outline the computation of the normalized similarity metric and demonstrate its application in quantifying diversity within populations in evolutionary NAS. Experimental results conducted on popular datasets for image classification, such as CIFAR-10, CIFAR-100, and ImageNet16-120, show the effectiveness of our approach in guiding diversity based on our suggested control function. Additionally, we highlight the usefulness of our similarity metric in comparing individuals to identify advantageous or disadvantageous architectural design choices. The code is available at https://***/ankilab/evonas_similarity_metric. © 2024 the authors, released under CC BY 4.0.

关键词： Neural network models

来源：评论

学校读者我要写书评

暂无评论

Intelligent Route Planning Algorithm based on Genetic Neural network 22

Intelligent Route Planning Algorithm based on Genetic Neural...

引用

3rd Asia-Pacific conference on Image Processing, Electronics and Computers, IPEC 2022

作者： Ning, Yihan Yang, Chongjun Wuhan Business University Wuhan430056 China

ISBN: (纸本)9781450395786

With the development of modern industry towards large-scale and integration, the production process is becoming more and more complex. The process is seriously nonlinear, time-varying, uncertain and the strong combination of variables, which makes many systems lack accurate mathematical description and difficult to analyze and control with traditional theoretical methods. Therefore, it is necessary to study new intelligent control strategies. Real-time and efficient solution of the optimal path in a large-scale road network is a research difficulty in the field of dynamic path induction. During path planning, the robot's own sensors are required to continuously collect and analyze environmental data, so that the robot can find the target point and update it continuously path. Aiming at the shortcomings of the basic GA, such as low efficiency, when calculating the optimization problems of large-scale networks. In this paper, an intelligent route planning algorithm based on genetic neural network is proposed. The environmental information is obtained by five sensors loaded on the front end. The obtained obstacle, pose and target information are used as the input of neural network, and then the weights of neural network are trained and adjusted by GA. Finally, the output of neural network after training and adjustment is used as the driving control force of robot. On this basis, referring to some conclusions of fixture verification, the stability and deformation characteristics of the workpiece are simulated through some parameters, and the GA is used for combinatorial optimization to determine the optimal positioning point. The algorithm proposed in this paper has the advantages of simple calculation and fast convergence, can avoid some local extremum, and the planned collision free path reaches the shortest collision free path. Finally, through the experimental simulation of the algorithm, the results show that the proposed intelligent route planning algorithm based

关键词： Combinatorial optimization

来源：评论

学校读者我要写书评

暂无评论

Peak Forecasting for Electricity Loads in Jordan Using a Weighted Combination of Feed Forward Back Propagation Neural network and Holt-Winter 3

Peak Forecasting for Electricity Loads in Jordan Using a Wei...

引用

3rd International conference on Intelligent Engineering and Management, ICIEM 2022

作者： Sleem, Ahmad Abu Mohammed, Ayman R. Shkoor, Saleh Al Saleh, Haitham IRC for Smart Mobility and Logistics Department of Industrial and Systems Engineering Dhahran Saudi Arabia Electrical Power Engineer Technical Control Department Amman Jordan

ISBN: (数字)9781665467568

ISBN: (纸本)9781665467568

Predicting electrical loads is critical since it requires the preparation of work schedules for main and minor transformer maintenance operations. This study aims to estimate the maximum evening electricity loads in Jordan in order to plan preventive maintenance. Because the data contains two sorts of patterns, trend and seasonal, methods that address both of these patterns must be applied. Long-term maximum peak forecasting for the next five years from 2022 to 2027 is performed by utilizing a weighted combination of two methods: Feed Forward Back Propagation Neural network and Holt-Winters. The Seasonal Autoregressive Integrated Moving Average method is also used and found of less accuracy than the two other models. A near-optimal weighted combination of the Neural network Model and Holt-Winter is then obtained by using a non-linear optimization local search heuristic model. The new model results are of high accuracy that the value of R2 was increased from 70.2 % for the Neural network Model and 82.4 % for the Holt-Winters method to 84.3 % in the weighted combination between them. Moreover, the value of Mean Absolute Error was decreased to from 134 and 188 for the Holt-Winter and Neural network models respectively to become 117.98. Upon the results, recommendations are provided to the decision-makers. © 2022 IEEE.

关键词： Neural network models

来源：评论

学校读者我要写书评

暂无评论

Globally optimal cost control for distributed multi-AUV formation with time-varying communication delays and clock errors 3

Globally optimal cost control for distributed multi-AUV form...

引用

3rd International conference on control and Intelligent Robotics, ICCIR 2023

作者： Xu, Jian Wei, Shunxing Yin, Liangang College of Intelligent Systems Science and Engineering Harbin Engineering University Harbin150001 China Qingdao Innovation Development Base Harbin Engineering University Qingdao266000 China

ISBN: (纸本)9781510671867

This paper studies the globally optimal coordinated control problem of distributed autonomous underwater vehicle (AUV) formation. Remarkably, the global cost function and communication topology are pregiven, which makes the traditional Riccati-based strategy inapplicable. As the main contribution of this paper, an effective design strategy for optimal distributed controller is presented. Detailedly, the formation coordination control problem of multi-AUV system is first transformed into the consensus problem of AUV formation, and the consensus state of leader-follower AUV formation is defined. Secondly, considering the relative drift and offset of AUV clock and the bounded time-varying communication delays in the interaction network, a prediction-based formation consensus controller is proposed by introducing the clock synchronization strategy. Moreover, the stability of AUV formation with this controller is proved. Then, by deeply exploring the internal relationship between global cost and relative state errors, the fully explicit formula of the cost function with respect to gain parameters is derived. Based on this, the existence of the optimal distributed controller is further proved. Simulation results show that the proposed optimal controller is effective. © 2023 SPIE.

关键词： Global optimization

来源：评论

学校读者我要写书评

暂无评论

Optimal Design of Distribution networks and optimization of control Parameters Based on the Intelligent Flexible Switch

Optimal Design of Distribution Networks and Optimization of ...

引用

Energy, Power and Electrical Engineering (EPEE), International conference on

作者： Le Dong Feng Song Xueqing Zhang Dang Xiong Yaoheng Du State Grid Yantai Power Supply Company Yantai Shandong Province China

To meet the requirements for flexible control of power electronic equipment connected to the power network, this article compares topology results of the intelligent flexible switch, establishes the equivalent model of the intelligent flexible switch circuit, and equivalates the intelligent flexible switch to the special nodes and branches in the distribution network. At the same time, this paper establishes constraint conditions, establishes three indexes of intelligent flexible switch active power transmission, reactive power compensation and system network loss value, and verifies the performance indexes through the equivalent model of multi-port intelligent flexible switch circuit. Research results show that the proposed intelligent flexible switching control strategy can greatly improve the node voltage level and avoid tedious steps of the transformation from the original optimization model to the cone programming model.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Optimal control of slow traffic at intersections based on green building materials and signal processing technology 3

Optimal control of slow traffic at intersections based on gr...

引用

3rd International conference on Electronics and Communication;network and Computer Technology (ECNCT)

作者： Kong, Wei Liang, Zijun Zhan, Xuejuan Zhu, Kai Liu, Wei Wang, Ruihan Shi, Mengping Hefei Univ Sch Urban Construct & Transportat Hefei 230601 Peoples R China Anhui Prov Transportat Big Data Anal & Applicat E Hefei 230601 Peoples R China Anhui Lufeng Traff Engn Co Ltd Hefei 231131 Peoples R China Hefei Rd Traff Safety Res & Engn Ctr Hefei 231131 Peoples R China

ISBN: (数字)9781510652118

ISBN: (纸本)9781510652118;9781510652101

Under the influence of China's sustainable development strategy, the design of urban road traffic engineering should adhere to the concept of environmental protection and develop in the direction of green and modernization. This paper proposes a slow traffic optimization at intersections based on green building materials and signal processing technology. The green building materials, such as colored asphalt concrete pavement and polyurethane elastic isolation column, are used for the channelization design of the traffic space for slow traffic at the intersection. Then the slow traffic signal optimization processing technology is used that is the slow traffic signal timing algorithm model to optimize the slow traffic crossing time. Finally, the evaluation and analysis are carried out through VISSIM traffic simulation. The results show that the method presented in this paper can effectively reduce the average delay of vehicles and the average travel time of slow traffic at intersections.

关键词： Green building materials Signal processing technology Slow traffic Optimized control VISSIM traffic simulation

来源：评论

学校读者我要写书评

暂无评论

A study on fault diagnosis in solar photovoltaic array using artificial neural network

A study on fault diagnosis in solar photovoltaic array using...

引用

International conference on control, Instrumentation, Energy and Communication (CIEC)

作者： Biswadeep Gupta Bakshi Shaheen Wasif Subinay Sarkar Saif Wasim Department of Electrical Engineering Narula Institute of Technology Kolkata India School of Illumination Science Engineering and Design Jadavpur University Kolkata India Electrical Engineering Department Jadavpur University Kolkata India Electrical Engineering Department HSB Polytechnic Tasarkata West Bengal India

Timely detection, diagnosis and mitigation of short-circuit and arcing faults are essential to avoid catastrophic damage and service discontinuity of solar photovoltaic (PV) arrays. In this work, an application of artificial neural network (ANN) is demonstrated for the fast and accurate diagnosis of string fault, string-to-ground fault and string-to-string fault in a 250 kW grid-tied solar PV array. The electrical features are chosen based on information gain ratio and the model hyperparameters are set based on random search optimization. It is observed that the ANN model displays high classification accuracies for the training (100%), validation (100%) and testing (98%) data; small generalization error (0.02) and fast training speed (7s). Most of these indices are improved compared to the earlier works. Such a smart fault-detection scheme can be deployed physically in a solar power plant.

关键词：

来源：评论

学校读者我要写书评

暂无评论

3rd International conference on Energy Systems, Drives and Automations, ESDA 2020

3rd International Conference on Energy Systems, Drives and A...

引用

3rd International conference on Energy Systems, Drives and Automations, ESDA 2020

ISBN: (纸本)9789811672736

The proceedings contain 26 papers. The special focus in this conference is on Energy Systems, Drives and Automations. The topics include: 3R Economy of a PKL Electrochemical Cell;Multilevel Inverters Operating with Improved Harmonic Performance Using SVPWM;smart Blind Stick;home Security System Using RaspberryPi;FDTD Analysis of Nanowire Based InP/Ge Tandem Solar Cell for Enhanced Power Conversion Efficiency;An Enhanced Tuning of PID controller via Hybrid Stochastic Fractal Search Algorithm for control of DC Motor;Analysis and Fabrication of a Compact CPW-Fed Planar Printed UWB Antenna Using Isola Tera MT (R) Substrate for Medical Applications;applications of 555 Timer for Development of Low-Cost System;Optical Quadruple New Gate Using SLM and Savart Plate;COVID-19: Impact Analysis on Power Sector (A Comprehensive Review on Demand Change);design and Analysis of Asymmetric Cantilever Type Shunt Switch for L Band Applications;Substrate Integrated Waveguide (SIW)-Based Filter for Ka Band Applications;Gesture controlled Robot-Car Using Raspberry PI;An Efficient ZF CSI Technique for Optimal Tradeoffs Between Spectral and Energy Efficiency in Massive MIMO Technology Using Nonconvex optimization;improving the Prediction of Traffic Flow in the Airport System Using Machine Learning;invasive Weed optimization Based Reduced Order Modelling;A Novel Model-Order Diminution Algorithm for LTIC System Using Whale optimization;Electricity Price Forecasting Using LSTM network and K-Means Clustering by Considering the Effect of Wind Power Generation;solid Waste Management Challenges in India;Electrochemical Conversion of CO2 into Useful Chemicals and PKL Electricity;graphical Approach to Recognize Optimal Distribution network Reconfiguration.

关键词：

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 << < 35 36 37 38 39 40 41 42 43 44 > >>

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：