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

17,065 篇 会议
165 篇 期刊文献
36 册 图书

馆藏范围

17,266 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

11,188 篇 工学
- 8,680 篇 计算机科学与技术...
- 4,729 篇 软件工程
- 3,197 篇 电气工程
- 2,188 篇 信息与通信工程
- 1,396 篇 控制科学与工程
- 767 篇 动力工程及工程热...
- 752 篇 电子科学与技术（可...
- 582 篇 生物工程
- 467 篇 机械工程
- 441 篇 仪器科学与技术
- 377 篇 生物医学工程（可授...
- 348 篇 石油与天然气工程
- 320 篇 安全科学与工程
- 315 篇 网络空间安全
- 296 篇 交通运输工程
- 287 篇 环境科学与工程（可...
- 241 篇 化学工程与技术
3,205 篇 理学
- 1,703 篇 数学
- 751 篇 物理学
- 639 篇 生物学
- 450 篇 统计学（可授理学、...
- 413 篇 系统科学
- 373 篇 化学
2,618 篇 管理学
- 1,910 篇 管理科学与工程(可...
- 1,030 篇 工商管理
- 940 篇 图书情报与档案管...
424 篇 医学
- 331 篇 临床医学
- 278 篇 基础医学(可授医学...
361 篇 经济学
- 359 篇 应用经济学
339 篇 法学
- 269 篇 社会学
172 篇 教育学
109 篇 农学
45 篇 文学
25 篇 艺术学
12 篇 军事学
3 篇 哲学

主题

1,852 篇 grid computing
1,514 篇 cloud computing
984 篇 computer science
670 篇 computational mo...
520 篇 resource managem...
517 篇 distributed comp...
514 篇 computer archite...
463 篇 application soft...
330 篇 peer to peer com...
265 篇 concurrent compu...
238 篇 conferences
237 篇 mobile computing
231 篇 servers
229 篇 quality of servi...
227 篇 web services
224 篇 monitoring
207 篇 scalability
206 篇 middleware
199 篇 bandwidth
193 篇 internet of thin...

机构

88 篇 department of ph...
88 篇 dept. of astrono...
88 篇 dept. of physics...
88 篇 dept. of physics...
88 篇 columbia astroph...
88 篇 iii. physikalisc...
88 篇 department of ph...
88 篇 erlangen centre ...
88 篇 département de p...
88 篇 school of physic...
87 篇 technical univer...
87 篇 dept. of physics...
86 篇 dept. of physics...
86 篇 dept. of astrono...
80 篇 department of ph...
80 篇 institut für phy...
74 篇 dept. of physics...
74 篇 dept. of physics...
73 篇 dept. of physics...
73 篇 institut für ker...

作者

87 篇 chen z.
87 篇 butterfield d.
87 篇 haungs a.
87 篇 alameddine j.m.
87 篇 fan k.l.
87 篇 bourbeau e.
87 篇 fritz a.
87 篇 halve l.
87 篇 de clercq c.
87 篇 böttcher j.
87 篇 ha minh m.
87 篇 glauch t.
87 篇 chattopadhyay s.
86 篇 fürst p.
86 篇 günther c.
86 篇 delaunay j.j.
86 篇 feigl n.
86 篇 athanasiadou s.
86 篇 gries o.
86 篇 diaz a.

语言

16,637 篇 英文
529 篇 其他
103 篇 中文
4 篇 西班牙文
4 篇 俄文

检索条件"任意字段=IEEE International Conference on e-Science and Grid Computing"

共 17266 条记录，以下是571-580 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：

Transient Modeling and Stability Analysis of DFIG-based Wind Turbine with Demagnetization Control during Severe grid Fault 6

Transient Modeling and Stability Analysis of DFIG-based Wind...

引用

6th ieee international electrical and energy conference, CIeeC 2023

作者： Ma, Yumei Zhu, Donghai Zou, Xudong Hu, Jiabing Kang, Yong School of Electrical and Electronic Engineering Huazhong University of Science and Technology Power Electronics and Energy Management Key Laboratory Ministry of Education of China Wuhan China

ISBN: (纸本)9798350346671

During severe grid fault, doubly fed induction generator (DFIG)-based wind turbines (WTs) demand switching to transient controls (e.g., demagnetization control) to suppress fault current. However, the transient stability considering LVRT control under weak grid fault has not been explored. To fill the gap, this paper firstly established the transient model of DFIG- based WT during severe grid fault, taking demagnetization control into account. Based on it, the stability of DFIG-based WT is evaluated by the Lyapunov's energy function and inverse trajectory method. It discovered that improper demagnetization control could lead to new transient instability issue. Moreover, the implications of diverse elements (i.e., the grid condition, grid impedance, demagnetization coefficient, PLL control parameters) on the transient stability are revealed, and some control design guideline is provided for DFIG-based WT during severe grid fault. eventually, the analysis is verified via experiments. © 2023 ieee.

关键词： Wind turbines

来源：评论

学校读者我要写书评

暂无评论

Research on Automated IT Asset Data Updating Methods for Multi-Operating Platforms 7

Research on Automated IT Asset Data Updating Methods for Mul...

引用

7th international conference on Computer Information science and Application Technology, CISAT 2024

作者： Fu, Hua Meng, Chunzhi Shi, Lei Nong, Chunkai Meng, Chunchen Nanning Power Supply Bureau Guangxi Nanning530028 China Information Communication Branch of Guangxi Grid Company Guangxi Nanning530028 China

ISBN: (纸本)9798350375107

Due to the differences in the interfaces and data formats of different platforms as well as the non-uniform management mechanism. In order to ensure the automated update of IT asset data on multiple operation platforms, a research on the automated update method of IT asset data on multiple operation platforms is proposed. Through data synchronization technology, real-time or timed updating of data between different platforms is realized;the process of converting data from different platforms to a standard format is unified to facilitate data parsing and transmission;through the cloud computing platform, centralized management and unified scheduling of IT asset data can be realized to improve the management efficiency and automation of data. experimental data show that this method can significantly improve the speed and accuracy of data updating, reduce manual intervention and operation, and improve work efficiency. Among other things, the automated update method can realize automatic data transmission and synchronization between different platforms, which is convenient for enterprises to carry out cross-platform management and maintenance. © 2024 ieee.

关键词： Data accuracy

来源：评论

学校读者我要写书评

暂无评论

Power Load Data Cleaning Method Based on DBSCAN Clustering and WGAN Algorithm 5

Power Load Data Cleaning Method Based on DBSCAN Clustering a...

引用

5th ieee international conference on Power, Intelligent computing and Systems, ICPICS 2023

作者： Wei, Liyong Ding, Yi Wang, en Liu, Lixin State Grid Tianjin Electric Power Company Tianjin China State Grid Tianjin Electric Power Research Institute Tianjin China Beijing Tsingsoft Technology Co. Ltd Beijing China

ISBN: (纸本)9798350333442

The various processes of acquisition and transmission of measurement data are subject to malfunction or interference, resulting in missing data. Traditional data restoration methods ignore the historical load change pattern and have low reconstruction accuracy. In this paper, we first use the DBSCAN clustering algorithm to detect outliers in the original load dataset and remove the outliers with large deviations to form a dataset with vacant values. Then, the Wasserstein distance is used to improve on the original GAN network. Through non-supervised training of WGAN, the neural network will automatically learn complex spatio-temporal relationships that are difficult to model explicitly, such as correlations between measurements and load fluctuation patterns. Finally, the authenticity constraint and contextual similarity constraint are used to optimize the hidden variables, so that the trained generator will be able to generate highly accurate reconstructed data. The algorithm analysis proves the performance stability of the proposed method, and the reconstructed data can reflect the real time characteristics of the measured data. © 2023 ieee.

关键词： Cluster analysis

来源：评论

学校读者我要写书评

暂无评论

StraightLine: An end-to-end Resource-Aware Scheduler for Machine Learning Application Requests 3

StraightLine: An End-to-End Resource-Aware Scheduler for Mac...

引用

3rd international conference on Artificial Intelligence, Internet of Things and Cloud computing Technology, AIoTC 2024

作者： Ching, Cheng-Wei Guan, Boyuan Xu, Hailu Hu, Liting University of California Santa Cruz Department of Computer Science and Engineering Santa CruzCA United States Center of Florida International University MiamiFL United States California State University Department of Computer Engineering and Computer Science Long BeachCA United States

ISBN: (纸本)9798331530280

The life cycle of machine learning (ML) applications consists of two stages: model development and model deployment. However, traditional ML systems (e.g., training-specific or inference-specific systems) focus on one particular stage or phase of the life cycle of ML applications. These systems often aim at optimizing model training or accelerating model inference, and they frequently assume homogeneous infrastructure, which may not always reflect real-world scenarios that include cloud data centers, local servers, containers, and serverless platforms. We present StraightLine, an end-to-end resource-aware scheduler that schedules the optimal resources (e.g., container, virtual machine, or serverless) for different ML application requests in a hybrid infrastructure. The key innovation is an empirical dynamic placing algorithm that intelligently places requests based on their unique characteristics (e.g., request frequency, input data size, and data distribution). In contrast to existing ML systems, StraightLine offers end-to-end resource-aware placement, thereby it can significantly reduce response time and failure rate for model deployment when facing different computing resources in the hybrid infrastructure. © 2024 ieee.

关键词： Resource allocation

来源：评论

学校读者我要写书评

暂无评论

Research on cloud security construction of power grid in smart era 2

Research on cloud security construction of power grid in sma...

引用

2nd ieee international conference on Data science and Computer Application, ICDSCA 2022

作者： Feng, Guocong Huang, Qingshui Deng, Zijie Zou, Hong Zhang, Jiafa Digital Grid Research Institute China Southern Power Grid. Guangdong Guangzhou China

ISBN: (数字)9781665472005

ISBN: (纸本)9781665472005

With the gradual construction and implementation of cloud computing, the information security problem of the smart grid has surfaced. Therefore, in the construction of the smart grid cloud computing platform, information security needs to be considered in planning, infrastructure, and management at the same time, and it is imminent to build an information network that is secure from terminal to the platform to data. This paper introduces the concept of cloud security technology and the latest development of cloud security technology and discusses the main strategies of cloud security construction in electric power enterprises. © 2022 ieee.

关键词： Smart power grids

来源：评论

学校读者我要写书评

暂无评论

Research Support for Key Technologies for Distributed computing grid Investment Analysis

Research Support for Key Technologies for Distributed Comput...

引用

2024 international conference Optoelectronic Information and Optical engineering, OIOe 2024

作者： Zhang, Geli Li, Tong Wang, Xiaohui Cheng, Wei Zhang, Heng Wang, Yujie Dept. Technical and Economic Center State Power Economic Research Institute Beijing China

ISBN: (数字)9781510688209

ISBN: (纸本)9781510688193

With the high proportion of new source loads such as distributed power sources, electric vehicles, and energy storage, as well as the rapid development of new models and formats such as microgrids, integrated energy, and virtual power plants, the distribution network is gradually transforming from a power network that simply receives and distributes electricity to users to a power network that integrates source grid load storage interaction and flexibly couples with the higher-level power grid. In recent years, State grid economic and Technological Research Institute has focused on original technology research and development in the field of distribution networks, fully supporting the construction of original technology source areas. It has developed a distribution network simulation calculation and analysis platform with completely independent intellectual property rights, supporting the construction of new distribution systems in multiple regions. The development of new source loads may lead to local concentration and overall imbalance, resulting in significant differences in load rates between different regions and lines of the distribution network. This often leads to issues of insufficient or unusable equipment capacity, which is not conducive to improving the overall quality and efficiency of the distribution network. The State grid economic and Technological Research Institute, in collaboration with the United Nations grid Tianjin electric Power Company, has established a flexible interconnection technology system for distribution networks, developed the world's first set of corresponding flexible interconnection power electronic equipment, and implemented it in the Beichen National Industry City Integration Demonstration Zone in Tianjin. After the project is put into operation, the load balancing degree of the demonstration zone's power grid has reached over 99%, the power supply capacity of the power grid has increased by nearly 40%, and important industria

关键词： Power distribution networks

来源：评论

学校读者我要写书评

暂无评论

Design and Development of a Microcontroller Based Fingerprint-Attendance System 4

Design and Development of a Microcontroller Based Fingerprin...

引用

4th international conference on Ubiquitous computing and Intelligent Information Systems, ICUIS 2024

作者： Mbengwa, Kaloso Samikannu, Ravi Rohini, R. Begam, K.Maruliya Kanimozhi, G. Yahya, Abid Botswana International University of Science and Technology Department of Electrical and Communications Systems Engineering Palapye Botswana Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Ece Chennai India Vivekanandha College of Engineering for Women Department of Computer Science and Engineering Tiruchengode India Periyar Maniammai Institute of Science and Technology Department of Electrical and Electronics Engineering Thanjavur India Center for Smart Grid Technologies School of Electrical Engineering Vellore Institute of Technology Tamil Nadu Chennai India

ISBN: (纸本)9798331529635

In the modern era of rapidly advancing technology, organizations across various sectors are continuously seeking innovative solutions to enhance operational efficiency, streamline processes, and improve overall productivity. One area that significantly impacts these goals is the management of employee/student attendance. Traditional manual attendance tracking methods often lead to inaccuracies, inefficiencies, and increased administrative overhead. Recognizing this challenge, this proposal is to bring forth developing a microcontroller-based implementation of a Fingerprint-Based Attendance System. The system uses the power of biometric authentication to improve how attendance is recorded and managed. Firstly, this system provides real-time attendance tracking, reducing the delay in data processing and enabling immediate access to attendance records. Secondly, the proposed system ensures a high level of accuracy in attendance recording. Thirdly, this system promotes enhanced security. © 2024 ieee.

关键词： Microcontrollers

来源：评论

学校读者我要写书评

暂无评论

Blockchain-Based Distributed Resource Sharing Model Design 3

Blockchain-Based Distributed Resource Sharing Model Design

引用

3rd international conference on Computer science and Blockchain, CCSB 2023

作者： Zheng, Shanqi Huang, Xiaobo Wei, Ming Qu, Yingshi Wang, Huiying State Grid Liaoning Information and Communication Company Shenyang China State Grid Liaoning Electric Power Supply Co. Ltd. Shenyang China

ISBN: (纸本)9798350359077

Computer resource sharing provides an effective solution to the problems of imbalance between the distribution of computer resources and computing power demand in the network and the waste of computer resources. In the power system, using computers for resource sharing can dispatch power resources and effectively solve various problems caused by power consumption peaks, thus achieving the purpose of saving resources and improving users' experience. However, the traditional computerized resource sharing system generally adopts the task allocation method, which makes it difficult for users to directly access the shared resources and participate in the whole scheduling process when they use electricity. In addition, the assignment and scheduling of tasks are managed by the central node, and once the central node is damaged, the normal operation of the resource sharing system will be unsustainable. To address the above problems, this paper proposes a distributed resource sharing model by introducing a block chain private chain to build the underlying architecture of the resource sharing model and provide shared resources directly to users in a P2P manner. This paper analyzes the key implementation mechanism of the resource sharing model and builds a distributed computing network to truly realize computer resource sharing. After verifying and analyzing the CPU and memory usage during the work of the resource sharing model, and combining the electricity consumption data of users in various regions and time nodes, it is verified that the model can effectively improve the efficiency of computer resources usage, enhance the overall computing capacity, and finally achieve the effective utilization of electricity resources. © 2023 ieee.

关键词： computing power

来源：评论

学校读者我要写书评

暂无评论

On Task Offloading Optimization Method for edge computing in Hydropower Plants 4

On Task Offloading Optimization Method for Edge Computing in...

引用

4th international conference on Advances in electrical engineering and Computer Applications, AeeCA 2023

作者： Hao, Guowen Sun, Yanling Niu, Xiangyu Pan, Weifeng Rui, Jun State Grid Xin Yuan Company Limited Nanjing210000 China State Grid Electric Power Research Institute Nanjing210000 China

ISBN: (纸本)9798350308082

With the rapid development of Internet of things, the data acquisition requirements via various intelligent terminals is increasingly growing in hydropower plants. In this paper, an offloading optimization method according to the dependencies of tasks is proposed. By splitting the tasks in function-level structure to subtasks, we model the dependency of the subtasks in directed acyclic graph (DAG). By analyzing the dependency among the sub-task, the resource can be allocated and the sub-tasks can be offloaded to edge nodes. Moreover, the expected queuing time of the subtask is obtained by using the queuing model. The optimization problem is formulated by considering the queuing time of the sub-task and the resource limitation. Simulation results show that the proposed method can offloading the sub-task to edge nodes faster with lower price in comparison with the traditional methods. © 2023 ieee.

关键词： edge computing

来源：评论

学校读者我要写书评

暂无评论

ensemble Machine Learning Method for Photovoltaic Power Forecasting 26

Ensemble Machine Learning Method for Photovoltaic Power Fore...

引用

26th international conference on Computer Supported Cooperative Work in Design, CSCWD 2023

作者： Zhou, Qingguo Tang, Xiaorun Lv, Qingquan Li, Ziyuan Shen, Jun Wang, Jinqiang Yong, Binbin Lanzhou University School of Information Science and Engineering Lanzhou China University of Wollongong School of Computing and Information Technology Wollongong Australia

ISBN: (纸本)9798350331684

Photovoltaic power prediction plays an extremely important role in the construction of smart power grid and power grid security protection. In order to solve the problem of unstable power generation and even damages to the power grid caused by the ever changing irradiance and meteorological conditions, this paper leverages the traditional time series prediction modeling method to the machine learning approaches, such as recurrent neural network (RNN), convolutional neural network (CNN) and decision tree (DT), and uses the ensemble machine learning method to improve the final prediction accuracy, by training and testing on the radiation and meteorological data collected from a photovoltaic power station in Gansu Province of China, which enjoys the best solar resources in the country. The experimental results show that the ensemble model achieves the highest prediction accuracy, and its root mean square error(RMSe) is 0.4477. This is of great significance to the power generation evaluation and dispatching of photovoltaic power station. © 2023 ieee.

关键词： Recurrent neural networks

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 << < 54 55 56 57 58 59 60 61 62 63 > >>

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：