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

385 篇 会议
4 篇 期刊文献

馆藏范围

389 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

265 篇 工学
- 238 篇 计算机科学与技术...
- 148 篇 软件工程
- 67 篇 信息与通信工程
- 65 篇 电气工程
- 46 篇 控制科学与工程
- 15 篇 生物工程
- 14 篇 动力工程及工程热...
- 13 篇 安全科学与工程
- 12 篇 仪器科学与技术
- 11 篇 机械工程
- 10 篇 交通运输工程
- 10 篇 环境科学与工程（可...
- 9 篇 电子科学与技术（可...
- 8 篇 建筑学
- 7 篇 材料科学与工程（可...
- 7 篇 生物医学工程（可授...
- 7 篇 网络空间安全
69 篇 理学
- 33 篇 数学
- 17 篇 生物学
- 13 篇 系统科学
- 9 篇 统计学（可授理学、...
- 8 篇 物理学
- 8 篇 大气科学
53 篇 管理学
- 39 篇 管理科学与工程(可...
- 20 篇 工商管理
- 17 篇 图书情报与档案管...
19 篇 法学
- 12 篇 法学
- 9 篇 社会学
8 篇 农学
8 篇 医学
- 8 篇 基础医学(可授医学...
- 8 篇 临床医学
6 篇 经济学
2 篇 教育学

主题

67 篇 internet of thin...
42 篇 cloud computing
24 篇 internet
13 篇 computer archite...
12 篇 distributed comp...
12 篇 edge computing
10 篇 computer science
10 篇 security
10 篇 web and internet...
9 篇 resource managem...
9 篇 real-time system...
9 篇 protocols
9 篇 fog computing
9 篇 distributed data...
8 篇 application soft...
8 篇 costs
8 篇 mobile computing
7 篇 scalability
7 篇 data privacy
7 篇 monitoring

机构

5 篇 college of techn...
5 篇 sr university de...
4 篇 chitkara univers...
4 篇 school of comput...
3 篇 nitte meenakshi ...
3 篇 uttaranchal inst...
3 篇 school of electr...
2 篇 department of op...
2 篇 department of cs...
2 篇 state grid econo...
2 篇 school of geomat...
2 篇 department of cs...
2 篇 peking univ shen...
2 篇 panimalar engine...
2 篇 college of compu...
2 篇 kiet school of m...
2 篇 international un...
2 篇 graduate school ...
2 篇 school of comput...
2 篇 china elect powe...

作者

3 篇 pareek piyush ku...
2 篇 ding runwei
2 篇 shu-ching wang
2 篇 h. le
2 篇 rahul jagtap
2 篇 sonia
2 篇 sudhakar k.
2 篇 himanshu
2 篇 runwei ding
2 篇 a. simmonds
2 篇 chauhan rahul
2 篇 gyankamal chhaje...
2 篇 wang shun-sheng
2 篇 kwei-jay lin
2 篇 dineshkumar r.
2 篇 wang meng
2 篇 yan kuo-qin
2 篇 liu fang
2 篇 pahl claus
2 篇 m. bichler

语言

375 篇 英文
14 篇 其他
3 篇 中文

检索条件"任意字段=3rd International Conference on Distributed Computing and Internet Technology, ICDCIT 2006"

共 389 条记录，以下是1-10 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 Secure distributed Estimation Based on Affinity 3

A Secure Distributed Estimation Based on Affinity

引用

3rd international conference on Artificial Intelligence, internet of Things and Cloud computing technology, AIoTC 2024

作者： Ren, Xiaoping Yi, Hao Yi, Honghua He, Yilin Southwest University College of Artificial Intelligence Chongqing China

ISBN: (纸本)9798331530280

This paper explores the issue of secure distributed estimation in the presence of attacks. Due to the presence of attacks, compromised nodes send erroneous information to their neighboring nodes, leading to a decline in network performance. Here, a distributed diffusion least-mean-square (DLMS) algorithm with affinity is proposed. The proposed algorithm uses affinity for secure distributed estimation. Specifically, we propose a distributed discrimination mechanism based on affinity to distinguish between normal nodes and malicious nodes. Simulations are conducted to demonstrate the superiority of the proposed DLMS-Affinity algorithm in comparison to other algorithms. © 2024 IEEE.

关键词： Diffusion least-mean-square (DLMS) distributed estimation Relationship mapping attributes secure estimation

来源：评论

学校读者我要写书评

暂无评论

An Implementation of Photovoltaic Solar Panel Monitoring System Based on internet of Things 3

An Implementation of Photovoltaic Solar Panel Monitoring Sys...

引用

3rd IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2024

作者： Saranya, J. Divya, V. School Of Computing Sciences Vels Institute Of Science Technology & Advanced Studies Chennai India School Of Computing Sciences Vels Institute Of Science Technology & Advanced Studies Department Of Information Technology Chennai India

ISBN: (纸本)9798350318609

The internet of Things (IoT) is a contemporary technology that enhances user experience and adds intelligence to objects. Numerous applications have already embraced the internet of Things. The internet of Things (IoT) has greatly simplified and increased the accessibility of our lives. Society will be better equipped to safeguard future generations by reducing greenhouse gas emissions and ozone depletion as long as everyone uses renewable energy. These PV technologies are growing in popularity because they are so widely available, reasonably priced, and easy to install and maintain. Monitoring is required to determine the current condition of each solar photovoltaic cell in a solar panel. This monitoring is necessary to detect any defects in the solar cell and implement repair actions in addition to guaranteeing that the solar panel continues to function properly. In this study, an internet of Things-based solar panel monitoring system is implemented, and the MPPT algorithm is used to track maximum power. © 2024 IEEE.

关键词： Liquid crystal displays

来源：评论

学校读者我要写书评

暂无评论

An Edge computing Framework for Data Analysis in Intelligent Transportation Systems 3

An Edge Computing Framework for Data Analysis in Intelligent...

引用

3rd international conference for Innovation in technology, INOCON 2024

作者： Sharma, Sumit Bali, Rasmeet Singh Chandigarh University Computer Science Engineering Punjab India

ISBN: (纸本)9798350381931

Intelligent Transportation Systems (ITS) have been identified as a key application of the internet of Things (IoT). In order to reduce latency and bandwidth needs, edge computing offers a distributed computing architecture that can process and analyse data closer to the source. In this paper, we propose an edge computing framework for data analysis in ITS and present experimental results to evaluate its performance. The proposed framework aims to address the challenges associated with traditional data analysis techniques by leveraging the power of distributed computing resources, advanced analytics, and real-time processing capabilities. The rationale behind the framework's design and architecture is to improve the efficiency, scalability, and adaptability of ITS solutions, ensuring faster decision-making, reduced latency, and enhanced overall transportation performance. © 2024 IEEE.

关键词： Edge computing

来源：评论

学校读者我要写书评

暂无评论

Enhancing internet-based Resource Discovery: The Efficacy of distributed Quadtree Overlay 3

Enhancing Internet-based Resource Discovery: The Efficacy of...

引用

3rd international conference on Applied Artificial Intelligence and computing, ICAAIC 2024

作者： Alqaraleh, Muhyeeddin Zarqa University Faculty of Information Technology Department of Software Engineering Zarqa13110 Jordan

ISBN: (纸本)9798350375190

distributed systems based on the internet allow resources widely dispersed throughout the network to be utilized cooperatively and shared. This allows the end-user to obtain massive computational power to perform a computationally intensive task. This is where the essential function of resource finding comes into play. Even though different procedures have been presented to identify multi-attribute resources, these processes have been plagued by many problems, including significant overhead and inefficiency as the number of resources increases. distributed Quadtree Overlay is the innovative technology presented in this academic study. With DOTO, distance-aware querying is used. Moreover, since DOTO is constructed via the local network, it does not need any communication. As a result of the trials, the distributed Quadtree Overlay performed better than the Chord. According to the findings, distributed Quadtree Overlay is superior to Chord in terms of communication time since it needs fewer hopes and messages, uses less memory, and produces better (shortened) communication times. © 2024 IEEE.

关键词： distributed computer systems

来源：评论

学校读者我要写书评

暂无评论

2024 3rd international conference on Artificial Intelligence, internet of Things and Cloud computing technology, AIoTC 2024

2024 3rd International Conference on Artificial Intelligence...

引用

3rd international conference on Artificial Intelligence, internet of Things and Cloud computing technology, AIoTC 2024

ISBN: (纸本)9798331530280

The proceedings contain 81 papers. The topics discussed include: research on distributed computing power scheduling based on ant path optimization;facial expression recognition in museum settings using an enhanced residual networks;LSD3K: a benchmark for smoke removal from laparoscopic surgery images;enhancing single image de-raining with a sparse spatial transformer;research on image recognition and intelligent management of accounting bills based on information technology;cloud-based flight test data management and application platform;design and simulation of biped robot based on ball screw;thinking about anti-drone strategies;RGembed: a knowledge graph embedding model integrating dual-prediction and graph attention networks;and improving the CodeGeeX model based on the relative convolutional multi-head attention method.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An Authentication Scheme with Attribute-Based Encryption for Power internet of Things 24

An Authentication Scheme with Attribute-Based Encryption for...

引用

3rd international conference on Networks, Communications and Information technology (CNCIT)

作者： Duan, Xiangjun Li, Yunshuo Xu, Yuanyuan Liu, Wei Zhang, Zhengkai Liu, Lei Li, Ying Xu, Mengyu China Elect Power Res Inst Beijing Peoples R China State Grid Anhui Elect Power Co Ltd Elect Power Res Inst Hefei Peoples R China State Grid Anhui Elect Power Co Ltd Hefei Peoples R China Shanghai Wudun Informat Technol Co LTD Shanghai Peoples R China

ISBN: (纸本)9798400717048

Power internet of Things(PIot) has absorbed edge computing technology, reducing the computing pressure of cloud service centers and providing intelligent services for edge devices through edge server. Due to the computing resources constraints,unattended and widely distributed of end devices,attacks on edge devices and edge servers are becoming more ***-based encryption can provide a higher level of protection for the edge computing model and a more flexible operation relationship. In the current attribute-based encryption scheme, the attributes assigned by the cloud server to the edge device are not authenticated, which may lead to the situation that the assigned attributes are stolen. we propose an identity authentication scheme that can authenticate for attributes. The scheme realizes mutual authentication between edge devices and edge servers. It combines attributes and ID to authenticate, thereby avoiding the misuse of attributes. This scheme can provide higher security without affecting the efficiency.

关键词： Power internet of things edge computing identity authenticate for attributes attribute-based encryption

来源：评论

学校读者我要写书评

暂无评论

The Application of Artificial Intelligence and internet of Things technology in Equipment Control Management Systems 3

The Application of Artificial Intelligence and Internet of T...

引用

3rd IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2024

作者： Du, Jinqi Yang, Chuan Liu, Ye College Of Mechanical And Power Engineering Shenyang University Of Chemical Technology Liaoning Shenyang China

ISBN: (纸本)9798350318609

In many fields, equipment control management systems are often used. The main purpose is to monitor and manage various types of equipment and software systems required for work, aiming to improve the efficiency and maintainability of equipment, thereby achieving effective management of equipment. Therefore, this article further proposes to use artificial intelligence and the internet of Things to design an equipment control management system to achieve more efficient equipment management. Finally, this article completed the verification of the effectiveness of the method in this article through comparative experiments. In a comparative experiment on work efficiency improvement between the equipment control management system based on the method in this article and the conventional system, the average work efficiency of the former was improved to 83.30%, while the work efficiency of the latter was improved to 60.29%. It can be seen from the experimental results that artificial intelligence and the internet of Things are indeed very suitable for establishing equipment control management systems. © 2024 IEEE.

关键词： Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

Short Term Nonlinear Load Forecasting Method for distributed Photovoltaic Grid Connection Based on GSA Algorithm 3

Short Term Nonlinear Load Forecasting Method for Distributed...

引用

3rd international conference on Artificial Intelligence, internet of Things and Cloud computing technology, AIoTC 2024

作者： Xu, Pengfei Li, Yan Tang, Mengyuan Tian, Xing Gao, Baohao Economic and Technological Research Institute of State Grid Ningxia Electric Power Co. Ltd. Yinchuan Ningxia750004 China

ISBN: (纸本)9798331530280

In order to cope with the intermittency and uncertainty of photovoltaic power generation and improve the accuracy of short-term load forecasting, a distributed photovoltaic grid connected short-term nonlinear load forecasting method based on Genetic Simulated Annexing Algorithm (GSA) is proposed. The historical data of the distributed photovoltaic grid connected system is used as the analysis basis, and the concept of particle aggregation is introduced to establish a solution space. The global load data is searched in the space, and the original data is substituted into the solution space to achieve load data normalization processing. Design a distributed photovoltaic grid connected short-term nonlinear load forecasting method based on GSA, obtain the global optimal solution, and accurately predict short-term load changes. The experimental results show that this method has significantly improved prediction accuracy and can more accurately predict short-term nonlinear loads. © 2024 IEEE.

关键词： distributed photovoltaic grid connected system Genetic simulated annealing algorithm Load data preprocessing Short term nonlinear load

来源：评论

学校读者我要写书评

暂无评论

An Adaptive Task Scheduling Approach for Cloud computing Using Deep Reinforcement Learning 3

An Adaptive Task Scheduling Approach for Cloud Computing Usi...

引用

3rd international conference on distributed computing and High Performance computing, DCHPC 2024

作者： Amini, Pedram Kalbasi, Amir Amirkabir University of Technology Department of Computer Engineering Tehran Iran

ISBN: (纸本)9798350381580

Today, many important internet services are provided on cloud computing platforms. The ever-increasing expansion of services and user requirements has necessitated the optimal use of resources. Therefore, several algorithms for optimal resource usage have been proposed to increase cloud performance and provide more satisfactory services to internet users. Typically, each algorithm is suitable for a specific environment, and their performance is affected by changes of the execution environment. Meanwhile, the assignment of tasks to resources in cloud computing is a difficult problem that NP-Complete. This paper proposes a novel deep reinforcement learning-based approach for task scheduling in cloud computing environments, aiming to minimize the makespan, which is the total time required to complete all tasks. The proposed approach utilizes a deep Q-learning algorithm to learn the near-optimal task allocation strategies based on the current state of the system. The task scheduling performance of the proposed approach is compared with the Min-Min, Min-Max, FCFS and GA algorithms based on three criteria: makespan, algorithm execution time, and computational complexity. Simulation results demonstrate that the proposed approach results in excellent makespan, while demonstrating very small algorithm execution time. © 2024 IEEE.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Research on distributed computing Power Scheduling Based on Ant Path Optimization 3

Research on Distributed Computing Power Scheduling Based on ...

引用

3rd international conference on Artificial Intelligence, internet of Things and Cloud computing technology, AIoTC 2024

作者： Gao, Shijie Wang, Wende Hu, Cong Chen, Chao Liu, Xiaoqiang Jin, Zihan Li, Guangao Beijing China-Power Information Technology Co. LTD. Beijing100192 China State Grid Liaoning Electric Power CO.LTD. Shenyang110000 China State Grid Anhui Electric Power CO.LTD. Information and Telecommunication Branch Hefei230000 China North China Electric Power University Beijing102208 China State Grid Liaoning Electric Power CO.LTD. Information and Telecommunication Branch Shenyang110000 China

ISBN: (纸本)9798331530280

This study solves the problem of data fusion caused by multi-source and cross-domain power business data, proposes a cross-domain computing capability model for the entire network based on the data middle platform, realizes the sharing and computing of multi-source data, and provides a new solution for the challenges of data centers. It also designs a cross-domain computing power scheduling algorithm based on ant path optimization, significantly improves the accuracy and stability of computing power scheduling through heuristic information design, etc. Experimental verification shows that the algorithm is superior to existing distributed scheduling algorithms in terms of scheduling overhead, etc., and is suitable for the multi-source cross-domain data fusion computing scenarios in data centers. The innovation lies in the introduction of the path optimization idea of the ant algorithm, overcomes the problems of traditional scheduling algorithms, and provides examples and method support for the optimization of power data management and distributed data processing technology in other fields. © 2024 IEEE.

关键词： Data centers

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39页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：