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

4,679 篇 会议
224 册 图书
32 篇 期刊文献

馆藏范围

4,935 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

3,847 篇 工学
- 3,367 篇 计算机科学与技术...
- 2,593 篇 软件工程
- 1,038 篇 信息与通信工程
- 535 篇 控制科学与工程
- 478 篇 电气工程
- 379 篇 生物工程
- 347 篇 动力工程及工程热...
- 310 篇 生物医学工程（可授...
- 275 篇 电子科学与技术（可...
- 241 篇 机械工程
- 218 篇 仪器科学与技术
- 210 篇 环境科学与工程（可...
- 202 篇 安全科学与工程
- 151 篇 交通运输工程
- 149 篇 网络空间安全
1,427 篇 理学
- 673 篇 数学
- 408 篇 生物学
- 250 篇 物理学
- 204 篇 统计学（可授理学、...
- 170 篇 大气科学
- 149 篇 系统科学
- 136 篇 化学
1,069 篇 管理学
- 793 篇 管理科学与工程(可...
- 493 篇 工商管理
- 357 篇 图书情报与档案管...
309 篇 医学
- 286 篇 临床医学
- 279 篇 基础医学(可授医学...
- 183 篇 公共卫生与预防医...
- 151 篇 药学(可授医学、理...
202 篇 法学
176 篇 经济学
- 176 篇 应用经济学
82 篇 农学
65 篇 教育学
10 篇 军事学
8 篇 文学
2 篇 艺术学

主题

581 篇 cloud computing
292 篇 internet of thin...
128 篇 computer communi...
97 篇 artificial intel...
96 篇 edge computing
93 篇 information syst...
86 篇 fog computing
78 篇 big data
77 篇 software enginee...
73 篇 cryptography
61 篇 machine learning
59 篇 servers
55 篇 blockchain
54 篇 cloud security
53 篇 monitoring
48 篇 algorithm analys...
45 篇 virtual machine
44 篇 security
44 篇 cloud storage
42 篇 quality of servi...

机构

22 篇 sternberg astron...
19 篇 institute for nu...
15 篇 service de physi...
13 篇 center for astro...
13 篇 department of ph...
13 篇 department of ph...
13 篇 the graduate sch...
13 篇 graduate school ...
13 篇 department of ph...
13 篇 graduate school ...
13 篇 department of ph...
13 篇 institute of par...
13 篇 information engi...
13 篇 academic assembl...
13 篇 department of ph...
13 篇 interdisciplinar...
13 篇 faculty of engin...
13 篇 graduate school ...
13 篇 ceico institute ...
13 篇 department of ph...

作者

24 篇 jui c.c.h.
24 篇 oshima a.
24 篇 tsuda r.
24 篇 kim j.h.
24 篇 bergman d.r.
24 篇 allen m.
24 篇 matsuyama t.
24 篇 wong t.
24 篇 ishii t.
24 篇 kim s.w.
24 篇 takamura m.
24 篇 yashiro k.
24 篇 kadota k.
24 篇 mayta r.
24 篇 ozawa s.
24 篇 ikeda d.
24 篇 belz j.w.
24 篇 kasami s.
24 篇 tameda y.
24 篇 rodriguez d.c.

语言

4,263 篇 英文
654 篇 其他
20 篇 中文
1 篇 土耳其文

检索条件"任意字段=Proceedings of the 2019 International Communication Engineering and Cloud Computing Conference"

共 4935 条记录，以下是431-440 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：

Lightweight Fog Attention Graph Convolutional Network for Secure Data Aggregation Mechanism to Fog based cloud Assisted IoT Network 8

Lightweight Fog Attention Graph Convolutional Network for Se...

引用

8th international conference on I-SMAC (IoT in Social, Mobile, Analytics and cloud), I-SMAC 2024

作者： Akilesh Kumar, S. Hariharan, P. Sukhel Ahamed, N. Gokilavani, S. Karpagam Academy of Higher Education Department of Artificial Intelligence and Data Science Coimbatore India Karpagam Academy of Higher Education Department of Computer Science and Engineering Coimbatore India

ISBN: (数字)9798350376425

ISBN: (纸本)9798350376425

Ever Increasing demand of cloud computing paradigm has resulted in widespread development and deployment of multiple fog nodes to cloud assisted internet of things networks as it is highly capable of providing the users with on demand and low latency services through mobile collaborative devices in the edge of multiple clouds. Mobile Collaborative Devices is used for fog computing with integrated storage, computing and communication capabilities. However it offers improved efficiency and increased flexibility. Despite of multiple advantageous of fog based cloud assisted internet of things, security of the user data and their privacy can be compromised during data aggregation. In addition, it faces huge challenges in effectively aggregating the data and transmitting to the cloud server on establishing the strong security. In order to enhance the security of the user data and to preserve the privacy of the user information along establishing a secure data aggregation and transmission, a new light weight convolutional attention network is proposed in this article. It establishes secure data aggregation and data transmission to the distributed cloud data centers efficiently. Fog attention graph convolutional network leverages neighbour fog data efficiently and securely from dataset and represents in form of graph. Attention coefficient is assigned to each fog data represented in graph structure and attention score is calculated to each update of the nodes in graph. Specifically softmax function employs ID3 decision tree classifier and K anonymization mechanism to aggregates fog data on basis of updates of the attributes of the fog nodes in terms of the attention score and transmits aggregated data to the distributed cloud server. Further proposed model enhance the security of the data aggregation and transmission with index function through hash mechanism. Experimental analysis is carried out on the Fog assisted IoT medical (FIoMT) dataset. Dataset composed of patient h

关键词： Fog computing

来源：评论

学校读者我要写书评

暂无评论

Breaking Down communication Barriers: Real-Time Sign Language Recognition Using CNN & Flask-Based API

Breaking Down Communication Barriers: Real-Time Sign Languag...

引用

2023 international conference on Circuit Power and computing Technologies, ICCPCT 2023

作者： Nekkanti, Lakshmi Bhavani Priyanga, A. Posonia, A. Mary Mayan, J. Albert Sathyabama Institute of Science and Technology Computer Science and Engineering Chennai India

ISBN: (纸本)9798350333244

The involvement of an interpreter is sometimes necessary when attempting to communicate with a person who is deaf or hard of hearing. Real-time recognition of sign language system is presented that use image processing & CNN to decode gestures in video footage. To facilitate communication between the hearing and non-hearing handicapped, our technology is built to translate sign language motions into text and voice. Furthermore, a Flaskbased API is provided that can be distributed to cloud computing, making our solution widely available and straightforward to implement. Our results suggest that compared to other alternatives, our method is more accurate and more adaptable, making it a potentially useful tool for removing communication obstacles. © 2023 IEEE.

关键词： Python

来源：评论

学校读者我要写书评

暂无评论

YOLOv8-Powered Multi-Object Detection for Safety Helmets and Number Plates in Real-Time Surveillance Systems 5

YOLOv8-Powered Multi-Object Detection for Safety Helmets and...

引用

5th IEEE international conference on communication, computing and Industry 6.0, C2I6 2024

作者： Pramila, S. Anil, D. Sirisha, O. New Horizon College of Engineering Bengaluru India Uvce Bangalore University Department of Cse Bengaluru India G.Pulla Reddy Engineering College Department of Computer Science and Business Systems Kurnool India

ISBN: (纸本)9798350379884

This paper presents a real-time object detection system using the latest YOLOv8 model to enhance traffic monitoring and safety enforcement. The model was trained to detect helmets, riders and number plates in diverse traffic scenarios, achieving an overall accuracy of 93.4%. Significant improvements were observed in precision, recall and mean Average Precision (mAP) scores due to the combination of an optimized architecture, high-quality data and fine-tuned hyperparameters. The system maintains real-time inference capabilities with a processing speed of 11 ms per image, making it suitable for continuous surveillance and enforcement applications. This study demonstrates the potential of using advanced deep learning techniques for effective and automated traffic rule enforcement. Future work may involve further optimizations and integration with large-scale cloud-based systems for more comprehensive deployments. © 2024 IEEE.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

A High-Performance Data Verification Mechanism in Blockchain-Based IoT Systems 21

A High-Performance Data Verification Mechanism in Blockchain...

引用

21st IEEE international Symposium on Parallel and Distributed Processing with Applications, 13th IEEE international conference on Big Data and cloud computing, 16th IEEE international conference on Social computing and Networking and 13th international conference on Sustainable computing and communications, ISPA/BDcloud/SocialCom/SustainCom 2023

作者： Zhang, Jingyu Zhou, Pian Sun, Yongtao Luo, Lailong Changsha University of Science and Technology School of Computer and Communication Engineering Changsha China National University of Defense Technology Science and Technology on Information Systems Engineering Laboratory School of Systems Engineering Changsha China

ISBN: (纸本)9798350329223

With the rapid development of the distributed network and communication, the Internet of Things (IoT) systems have been applied to all walks of life. Blockchain technology is one of the most popular research fields recently, which can provide a reliable storage solution and solve information security issues for IoT systems. Transaction information is the most critical fundamental data in the blockchain systems, which needs to be verified to avoid being tempered with by malicious nodes in the process of transmission. With the exponential growth of the number of IoT devices, the limitations of the current storage structure put too much pressure on the system nodes. How to improve verification efficiency has become a key challenge. To alleviate this problem, this paper proposes a novel high-performance verification mechanism for data security protection in blockchain-based IoT systems. We design a new storage structure based on Huffman trunk tree (HTT), and conduct the quantitative analysis of transaction weights. Transactions are stored in full-featured devices in the form of Huffman Merkle tree (HMT), and only the content of HTT is saved in lightweight devices. Finally, the performance superiority of our mechanism is proved through theoretical analysis and experimental evaluation. In blockchain-based IoT systems, our mechanism significantly reduces the data transmission cost and computation overhead, effectively improving the efficiency of data verification. © 2023 IEEE.

关键词： Efficiency

来源：评论

学校读者我要写书评

暂无评论

A Stratified Approach to Monitoring cloud Services 2

A Stratified Approach to Monitoring Cloud Services

引用

2nd IEEE international conference on Advances in computing, communication and Applied Informatics, ACCAI 2023

作者： Smitha, G.V. Pavithra, B. Noushad, Izin Joshi, Rahul Vats, Ujjwal Dayananda Sagar College of Engineering Affiliated to Vtu Department of Masters in Computer Applications Karnataka Bangalore560078 India

ISBN: (纸本)9798350315905

cloud services have become an essential part of modern computing, providing on-demand access to computing resources and services over the internet. However, ensuring the reliability and performance of cloud services is a challenging task, as these services are highly complex and dynamic. Traditional monitoring techniques, such as threshold-based monitoring, are not suitable for cloud services, as they cannot handle the dynamic nature of these services.A stratified approach to monitoring cloud services using machine learning is a novel approach that uses machine learning algorithms to monitor cloud services in a more effective way. This approach is based on the principle of stratification, which involves dividing a complex system into several layers or strata, each with its own monitoring *** first layer of the stratified approach involves monitoring the infrastructure layer, which includes infrastructure, both real and digital used to provide cloud computing. This layer is monitored using machine learning algorithms that can detect anomalies in the network traffic, CPU usage, memory usage, and other infrastructure-related *** second layer involves monitoring the platform layer, which includes the software platforms and frameworks used to develop and deploy cloud services. This layer is monitored using machine learning algorithms that can detect anomalies in the application logs, database usage, and other platform-related *** third layer involves monitoring the application layer, which includes the actual cloud services provided to users. This layer is monitored using machine learning algorithms that can detect anomalies in the user requests, response times, and other application-related *** using machine learning algorithms to monitor cloud services at different layers, the stratified approach can provide a more comprehensive and effective monitoring solution than traditional monitoring techniques. The approach can also adapt to the d

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Comparitive Analysis on Neural Networks based on their performance in Pneumonia Detection 13

Comparitive Analysis on Neural Networks based on their perfo...

引用

13th international conference on cloud computing, Data Science and engineering, Confluence 2023

作者： Puri, Naman Munjal, Geetika Amity School of Engineering and Technology Department of Computer Science Engineering Noida India

ISBN: (纸本)9781665462631

Pneumonia has been a concerning issue worldwide. This infectious disease has a higher mortality rate than Covid-19. More than two million individuals lost their lives in 2019 out of which almost 600,000 were infants less than 5 years of age. Globally, identification of the disease is done manually by radiologists, but this method is highly unreliable as its accuracy is not sufficiently good. With the evolution of computational resources, especially the computing power of GPUs, it has become possible to train very deep CNNs. This study involves a comparative analysis of neural networks for pneumonia recognition. The goal is to do binary image classification for pneumonia recognition on each of the three models, namely, a Sequential model using TensorFlow (built from scratch), ResNet50 and InceptionV3 and comparing their efficiency, to discover which model suits best for smaller datasets and which suits best for larger datasets. Dataset consists of 5856 anterior and posterior Chest X-Ray images labeled as either Normal or Pneumonic. © 2023 IEEE.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

An Aggregation Protocol Resisting Collusion Attacks in the Internet of Vehicles Environment 10

An Aggregation Protocol Resisting Collusion Attacks in the I...

引用

10th IEEE international conference on Cyber Security and cloud computing and 9th IEEE international conference on Edge computing and Scalable cloud, CScloud-EdgeCom 2023

作者： Xu, Zisang Zhang, Ruirui Huang, Peng Xu, Jianbo Changsha University of Science and Technology Computer and Communication Engineer Institute Changsha China Hunan University of Science and Technology School of Computer science and Engineering Xiangtan China

ISBN: (纸本)9798350312461

In the Internet of Vehicles(IoV) based on federated learning, the vehicle avoids the server from collecting sensitive data of users by uploading model parameters. However, after research, it is found that the model parameters uploaded by the vehicle are also vulnerable to model inversion attacks or other attacks, thus exposing sensitive data of users. Therefore, this paper proposes an aggregation protocol resisting collusion attacks in the Internet of Vehicles environment. First, the Roadside Unit (RSU) and the Trusted Authority (TA) cooperate to issue tokens for the vehicle to reduce the authentication overhead of the vehicle frequently crossing domains. Second, the protocol uses blinding factors and secret sharing techniques to effectively resist collusion attacks between entities. Finally, after mathematical analysis, it is proved that the protocol has high security and efficiency. © 2023 IEEE.

关键词： Vehicles

来源：评论

学校读者我要写书评

暂无评论

Row-wise Hamming Code for Memory Applications 5

Row-wise Hamming Code for Memory Applications

引用

5th international conference on Electronics and Sustainable communication Systems, ICESC 2024

作者： Nakul, K.S. Reddy, M. Krishna Chaitanya Abhiram, Paturi Vinodhini, M. Amrita School of Engineering Amrita Vishwa Vidyapeetham Department of Electronics and Communication Engineering Bengaluru India

ISBN: (纸本)9798350379945

The increasing vulnerability of memory devices to errors due to smaller transistor sizes, larger densities, and lower operating voltages raises the demand for efficient Error Correcting Codes (ECC) in memory systems in contemporary applications. Effective ECCs are essential for preserving system dependability and data integrity, particularly in mission-critical applications including data centers, aircraft, medical equipment, and automotive systems. ECCs have dramatically improved data integrity and system reliability across fields such as telecommunications, cloud computing, and automotive technology. The 'Row-Wise Hamming' leverages an optimized row-wise encoding and decoding mechanism that significantly reduces redundancy. In comparison to current ECC systems, the proposed Row-wise Hamming coding methodology optimizes memory dependability by reducing power consumption, area, and maximum delay by 40 %. The results from experiments establish the superior computational overhead performance of Row-Wise Hamming ECC, hence establishing it as a highly favorable solution for modern memory dependability issues. © 2024 IEEE.

关键词： Decoding

来源：评论

学校读者我要写书评

暂无评论

Metaheuristic Algorithm Implementation for PV Array Reconfiguration under Realistic Moving cloud Condition

Metaheuristic Algorithm Implementation for PV Array Reconfig...

引用

2023 IEEE international conference on Device Intelligence, computing and communication Technologies, DICCT 2023

作者： Kapur, Mridul Mahal, Agamdeep Singh Kumar, Priyanshu Pathak, Diwaker Manisha Gaur, Prerna Netaji Subhas University of Technology Formerly Nsit University of Delhi Instrumentation and Control Engineering Department New Delhi110078 India Teerthanker Mahaveer University Faculty of Engineering Department of Electrical Engineering UP Moradabad244001 India Netaji Subhas University of Technology Instrumentation and Control Engineering Department New Delhi110078 India

ISBN: (纸本)9781665474924

Partial shading imposes a major issue while generating power using solar photovoltaics (SPV) and consequences in the formation of hot spots and manifold peaks in the power-voltage (P-V) curve of the SPV arrays. As a result, a main deforming concern arises i.e., The power loss due to mismatch in the SPV system is dependent on and directly caused by the shading pattern. Mitigation of this MPL can be assessed by selecting a proper configuration of the SPV array and optimal shading dispersion over the complete SPV array. This paper focuses on the implementation of renowned metaheuristic algorithms (MAs) to optimally disperse the shading effect for a partially shaded total-cross-tied (TCT) SPV array configuration. A partial shading effect is generated using a realistic moving cloud model by incorporating various affecting environmental parameters. Furthermore, MAs are tested for the designed moving cloud model and a comprehensive analysis is presented among the various SPV array configurations. © 2023 IEEE.

关键词： Solar power generation

来源：评论

学校读者我要写书评

暂无评论

Blockchain based Roaming fraud prevention using LSTM model in 4G LTE Network 13

Blockchain based Roaming fraud prevention using LSTM model i...

引用

13th international conference on cloud computing, Data Science and engineering, Confluence 2023

作者： Yamuna, S. Sakthi, U. Sai Priya, G. Shanmuga Sendhilkumar, K.S. Sri Venkateswara College of Engineering Department of Computer Science and Engineering Chennai India Meenaskshi Sundarajan Engineering College Department of Computer Science and Engineering Chennai India R.M.D Engineering College Department of Computer Science and Engineering Chennai India Vit University Vellore Department of Computer Science and Engineering India

ISBN: (纸本)9781665462631

Fraud and Identity Theft constitute for huge financial loss to the telecom industry and telecom fraud accounts for a major cause of revenue loss. Among them, roaming fraud has the highest impact over network service providers, it has also become major concern for few companies. The present paper intends to provide a solution on roaming fraud with the help of a block chain-based network, which is used as secure data storage. This technology helps in minimizing financial loss, improving trust and ensures the reduction of latency in communication between the host and visitor network service provider. This is achieved by uploading the customers service report to the blockchain network as a transaction, using Inter Planetary File System (IPFS), and the service providers act as the accounts present in the network for accessing the report. It has been verified that, when the data is present in the blockchain, any outside entity cannot tamper or get hold of the data, which is an advantage of using blockchain technology. © 2023 IEEE.

关键词： Smart contract

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494页 << < 40 41 42 43 44 45 46 47 48 49 > >>

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：