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

8,002 篇 会议
52 篇 期刊文献
39 册 图书

馆藏范围

8,093 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

4,737 篇 工学
- 3,725 篇 计算机科学与技术...
- 2,989 篇 软件工程
- 1,319 篇 控制科学与工程
- 1,226 篇 信息与通信工程
- 1,116 篇 电气工程
- 706 篇 动力工程及工程热...
- 553 篇 生物工程
- 523 篇 机械工程
- 438 篇 电子科学与技术（可...
- 377 篇 生物医学工程（可授...
- 375 篇 网络空间安全
- 360 篇 仪器科学与技术
- 360 篇 交通运输工程
- 353 篇 环境科学与工程（可...
- 343 篇 安全科学与工程
- 289 篇 石油与天然气工程
- 231 篇 建筑学
2,012 篇 理学
- 985 篇 数学
- 584 篇 生物学
- 444 篇 物理学
- 312 篇 化学
- 287 篇 统计学（可授理学、...
1,513 篇 管理学
- 1,163 篇 管理科学与工程(可...
- 624 篇 工商管理
- 497 篇 图书情报与档案管...
476 篇 法学
- 267 篇 法学
- 226 篇 社会学
398 篇 医学
- 372 篇 临床医学
- 361 篇 基础医学(可授医学...
308 篇 经济学
- 307 篇 应用经济学
190 篇 农学
95 篇 教育学
17 篇 军事学
7 篇 文学
1 篇 艺术学

主题

370 篇 internet of thin...
262 篇 smart contract
163 篇 machine learning
131 篇 blockchain
121 篇 deep learning
119 篇 cloud computing
113 篇 real-time system...
99 篇 smart cities
94 篇 market research
91 篇 artificial intel...
83 篇 smart city
76 篇 computational mo...
72 篇 smart power grid...
69 篇 technological in...
67 篇 security
63 篇 big data
61 篇 smart contracts
56 篇 edge computing
54 篇 neural networks
51 篇 support vector m...

机构

184 篇 maharishi school...
144 篇 centre of interd...
110 篇 centre for inter...
66 篇 chitkara univers...
59 篇 department of co...
41 篇 chitkara univers...
38 篇 chitkara univers...
35 篇 vivekananda glob...
32 篇 uttaranchal inst...
31 篇 department of co...
29 篇 department of ar...
28 篇 department of el...
26 篇 department of in...
25 篇 vishwakarma inst...
25 篇 vishwakarma inst...
23 篇 prince shri venk...
22 篇 department of el...
20 篇 shandong provinc...
19 篇 vishwakarma inst...
19 篇 state grid smart...

作者

17 篇 kapil joshi
15 篇 joshi kapil
14 篇 jui c.c.h.
14 篇 oshima a.
14 篇 tsuda r.
14 篇 matthews j.a.
14 篇 kim j.h.
14 篇 he h.
14 篇 bergman d.r.
14 篇 park k.y.
14 篇 allen m.
14 篇 sato s.
14 篇 matsuyama t.
14 篇 wong t.
14 篇 ishii t.
14 篇 kim s.w.
14 篇 takamura m.
14 篇 yashiro k.
14 篇 kadota k.
14 篇 mayta r.

语言

7,666 篇 英文
425 篇 其他
35 篇 中文
1 篇 葡萄牙文

检索条件"任意字段=2023 International Research Conference on Smart Computing and Systems Engineering, SCSE 2023"

共 8093 条记录，以下是271-280 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：

Modelling And Simulation For Detecting Vulnerabilities And Security Threats Of smart Contracts Using Machine Learning 8

Modelling And Simulation For Detecting Vulnerabilities And S...

引用

8th IEEE international conference on Fog and Mobile Edge computing (FMEC)

作者： Mughaid, Ala Obeidat, Ibrahim Shdaifat, Andaleeb Alhayjna, Razan AlZu'bi, Shadi Hashemite Univ Fac prince Al Hussien bin Abdullah IT Dept Informat Technol POB 330127 Zarqa 13133 Jordan Al Zaytoonah Univ Jordan Comp Sci Dept Amman Jordan

ISBN: (纸本)9798350316971

Recently, the use and development of a blockchain systems such as Ethereum has increased rapidly, and many systems have relied on a third party as an intermediary between the sender and the receiver. Despite the attempts of developers to protect smart contracts, smart contracts contain many vulnerabilities that hackers resort to exploiting and using due to the attack that caused many financial and economic losses, and with the increase of errors in smart contracts, there are many tools and methods. For the analysis of smart contracts, machine learning models have appeared that facilitate their discovery instead of extracting them manually. In this paper, We have built a model that attempts to cancel the third party and we used machine learning to identify valid and invalid smart contracts. We have used several models and compared them with previous results of previous work in the same field. The result of this research was as expected of height accuracy achieved with approximately.99%.

关键词： Cyber security Blockchain smart contract Machine learning IPFS

来源：评论

学校读者我要写书评

暂无评论

Evaluation of charging power levels in different Hybrid Electric Vehicles

Evaluation of charging power levels in different Hybrid Elec...

引用

2023 international conference on Innovative computing, Intelligent Communication and smart Electrical systems, ICSES 2023

作者： Badhoutiya, Arti GLA University Department of Electrical Engineering Mathura India

ISBN: (纸本)9798350319200

Electric Vehicles (EVs) are becoming a promising way to improve the quality of the air, security of power, and commercial chance as the EV market is growing rapidly. To speed up the use of EVs and make transportation more sustainable, barriers need to be removed. The main ones are the high cost of EVs, concerns about range and scarcity of EV charging facilities. The majority of the EVs existing in the supply market are both HEVs and PHEVs. The effectiveness of a battery charger depends on how well it meets the following criteria: high power density, low cost, small size, and long life. A thorough state-of-art of the current state of electric vehicles, including their energy storage systems, charging methods, power levels and feasibility is presented along with the comparative evaluation of characteristics of different EVs and PHEVs based on their charging power levels. © 2023 IEEE.

关键词： charging levels electrical infrastructure ESS (Electrical storage system) fuel tank integrated chargers regenerative braking smart charging wireless charging

来源：评论

学校读者我要写书评

暂无评论

Delay Optimization of IoT-Edge computing in smart Grid Using Deep Reinforcement Learning 5

Delay Optimization of IoT-Edge Computing in Smart Grid Using...

引用

5th IEEE international conference on Artificial Intelligence in engineering and Technology, IICAIET 2023

作者： Jafri, Muhammad Akmal Asuhaimi, Fauzun Abdullah Dahlan, Ahmad Fikri Mohd Hatta, Mohd Khairil Universiti Sains Islam Malaysia Department of Electronic Engineering Nilai Malaysia Project Delivery and Technology Group Technical Solution Petronas Kuala Lumpur Malaysia

ISBN: (纸本)9798350304152

Internet of Things (IoT) technology is being increasingly used in the smart grid to enable real-time monitoring, control, and optimization of power systems. With the Internet as processing centre for IoT, various physical devices such as sensors, meters, and controllers, it enables them to exchange information and interact among each other. In an IoT system, edge computing provides a decentralized computing environment where data can be processed close to the source, reducing latency and network traffic. By integrating IoT edge computing, the smart grid system can collect real-time data on grid operations and use this information to optimize its performance. However, the large volume of data generated by IoT devices in a smart grid system can cause delays in processing and decision-making. To overcome this challenge, delay optimization techniques such as workload allocation is needed to ensure that the smart grid system can quickly and accurately process the data it receives from IoT devices and make decisions based on that data. By using deep reinforcement learning (DRL), we can implement and evaluate the proposed method which is the workload allocation technique. DRL algorithms can learn to decide which action is the best based on the situation of the grid, optimizing delay without the knowledge of the system itself. By using edge-computing as proposed technique, it is proven that it can outperform the cloud computing method based on the result from the simulation. © 2023 IEEE.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

An Examination of Machine Learning Techniques for Automating and Optimizing VLSI Design

An Examination of Machine Learning Techniques for Automating...

引用

2023 international conference on Innovative computing, Intelligent Communication and smart Electrical systems, ICSES 2023

作者： Kumar, P. Maniraj Gowri, V. Sharma, Arvind Anita, S. PSNA College of Engineering and Technology Department of Electronics and Communication Engineering Tamil Nadu Dindigul624622 India JJ College of Engineering and Technology Department of Electronics and Communication Engineering Tamil Nadu Trichy620009 India Modern Institute of Technology and Research Centre Department of Computer Science and Engineering Rajasthan Alwar301001 India R.M.K. Engineering College Department of Electrical and Electronics Engineering Tamil Nadu RSM Nagar Kavaraipettai601206 India

ISBN: (纸本)9798350319200

This study centers around assessing power utilization in CMOS VLSI circuits utilizing administered learning. The proposed model does not rely on a biased set of empirical conditions or restrictions, but on additional conventional strategies such as recommended SPICE circuit representations. Unlike other innovations, it delivers accurate results without customer bias on availability or circuit geography. The proposed plan recommends a more convincing alternative translation, but doing so would require a significant amount of additional information. Exploring and improving technologies to reduce planning complexity due to long process variations and reduce time to return to chip manufacturing is clearly a challenge for the nanoscale integrated circuit industry (IC). The usual strategy used for these commitments is generally manual. Therefore, they require a lot of time and wealth. Conversely, very large integrated planning (VLSI) and testing can take advantage of a variety of new computational pathways due to the unique learning methods of artificial intelligence (AI). © 2023 IEEE.

关键词： Automating Machine Learning Optimizing Techniques VLSI

来源：评论

学校读者我要写书评

暂无评论

smart Grid vs. Intelligent Grid;Artificial Intelligence Takes the Power System to the Next Level 3

Smart Grid vs. Intelligent Grid;Artificial Intelligence Take...

引用

3rd IEEE international conference on Digital Twins and Parallel Intelligence, DTPI 2023

作者： Liasi, Sahand Ghiasi, Narges S. Hadidi, Ramtin Clemson University Holcombe Department of Electrical and Computer Engineering CharlestonSC United States

ISBN: (纸本)9798350318470

This paper discusses the concept of intelligent power systems, particularly the distinction between smart grids and intelligent grids. smart grids represent a convergence of various energy technologies and communication systems, enabling multidomain interactions. However, in such a grid, humans are still the ultimate decision maker based on the gathered information. By adding artificial intelligence to the system, smart grids can be upgraded to intelligent grids. This article explores the cutting-edge methods and propositions of machine learning and artificial intelligence, and their influence on a plethora of smart grid applications, aiding their transition to truly intelligent grids. The piece highlights the surge in interest and rapid advancement in employing machine learning and AI techniques to effectively tackle technical obstacles across various facets of the smart grid. However, it notes unresolved issues meriting additional research, such as high-performance data processing for informed decision-making in large, intricate multi-energy systems, and lightweight solutions based on machine learning. Additionally, the article spotlights the potential of harnessing progressive computing and communication technologies such as edge computing, pervasive internet of things, and 5G wireless networks within the smart grid framework. Simulating smart grids requires overcoming challenges posed by the integration of diverse subsystems with varying time scales. Co-simulation is employed for these cases. This paper presents the state-of-the-art in simulating intelligent power systems and addresses challenges in applying co-simulation to test cases spanning various domains, including information and communication technology (ICT) and power systems. We anticipate that this study will serve as a launching pad for continued exploration and advancement in this burgeoning area of knowledge and practice. © 2023 IEEE.

关键词： smart power grids

来源：评论

学校读者我要写书评

暂无评论

Reinforcement Learning-Based Autonomous Collision Prediction and Avoidance System for Vehicles

Reinforcement Learning-Based Autonomous Collision Prediction...

引用

2023 international conference on Innovative computing, Intelligent Communication and smart Electrical systems, ICSES 2023

作者： Jagan, S. Jadhav, Ganesh K Priya, C. Adhikary, Priyabrata Bhatt, Upendra Mohan Jayasri, V. Vel Tech RangarajanDr.Sagunthala R&D Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India Mechanical Engineering Dr. D y Patil Institute of Engineering Management & Research Akurdi Pune India Sri Sairam Engineering College Department of Electrical and Electronics Engineering Tamil Nadu Chennai India New Horizon College of Engineering Department of Mechanical Engineering Bangalore India Graphic Era Deemed to Be University Department of Computer Science & Engineering Uttarakhand Dehradun248002 India St. Martins Engineering College Department of AI&DS Telangana Secunderabad India

ISBN: (纸本)9798350319200

This study investigates the feasibility developing an Autonomous Collision Prediction and Avoidance System (RL-ACPAS) based on Reinforcement Learning automobiles in light of the increasing prevalence of autonomous vehicles on the road. In this research, we used a thorough approach that included data gathering from many sensors, RL agent training using deep reinforcement learning algorithms, and performance assessment. The findings show that RL-ACPAS has high rates of avoiding collisions, fast reaction times, and effective decision-making, all of which bode well for enhancing road safety, traffic efficiency, and economic sustainability. These results, combined with hypothetical data and practical consequences, illustrate the transformational potential of RL-ACPAS. The real-world effects on security, effectiveness, economy, and trust are emphasized throughout the presentation. Insights into technological developments, road safety awareness, regulatory issues, and consumer advantages are also provided to readers. Future directions include things like improved learning algorithms, sensor integration, field testing, ethics, human-AI interaction, regulatory frameworks, data sharing, and constant progress. The future of RL-ACPAS is one of experimentation, cooperation, and dedication to making autonomous transportation systems more secure and dependable. © 2023 IEEE.

关键词： Autonomous Vehicles Avoidance systems Collision Prediction Deep Reinforcement Learning Real-Time Decision-Making Regulatory Frameworks Reinforcement Learning RL-ACPAS Traffic Efficiency Vehicle Safety

来源：评论

学校读者我要写书评

暂无评论

Bibliometric Analysis of smart Technology for Virtual Museum research 9

Bibliometric Analysis of Smart Technology for Virtual Museum...

引用

9th IEEE international conference on computing, engineering and Design, ICCED 2023

作者： Carollina, Donna Purbasari, Mita Sidharta Bina Nusantara University School of Design Visual Communication Design Department Jakarta Indonesia Bina Nusantara University Graphic Design & New Media Program Visual Communication Design Department Jakarta Indonesia Bina Nusantara University School of Computer Science Computer Science Department Jakarta Indonesia

ISBN: (纸本)9798350370126

In recent years, the development of intelligent technology has had a significant impact on the development of virtual museums. Therefore, knowledge mapping is needed to describe and analyze trends, implementation, and benefits of using smart technology in virtual museums. This study used bibliometric methods. The results is smart technology for virtual museum research tends to a downward trend in research productivity. The productive year for this study was 2019. While the type of documents related to this research on Scopus indexation is dominated by conference papers with 51 documents or 63.7%. The dominant publication source for this research is Lecture Notes in Computer Science including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics with 11 documents. The affiliation with the most documents is MARA University of Technology with 2 documents, and the most productive country in this study is China with 15 documents. From the results of research mapping, it was found that research in the field of smart technology for virtual museums still has great opportunities to be applied to applicable themes such as the application of local wisdom content that can enrich research topics. © 2023 IEEE.

关键词： Mapping

来源：评论

学校读者我要写书评

暂无评论

Performance Modelling of IoT in smart Agriculture 1

Performance Modelling of IoT in Smart Agriculture

引用

1st IEEE international conference on Advances in Electronics, Communication, computing and Intelligent Information systems, ICAECIS 2023

作者： Gamal, Abdelrahman S. Mohamed, Hoda K. Ain Shams University Faculty of Engineering Computer and Systems Engineering Department Cairo Egypt

ISBN: (纸本)9798350348057

Nowadays, IoT is being used in several applications, such as smart cities, health care and innovating agriculture and other applications. Moreover, the evolution of IoT technologies such as LoRaWAN, SIGFOX, ZigBee, and others drives the industry to convert their traditional systems to IoT systems due to the need to achieve better performance. One of the most challenging applications in an IoT system is smart agriculture due to the need for high energy and water consumption to reach the desired crop yield. Several related works in different countries tried to solve this challenge for a better water consumption in irrigation process to get the maximum crop yield production. In this paper, we used artificial intelligence and deep learning to predict the crop yield and the needed parameters of the soil to achieve the best performance with minimum power consumption. Also, we used convolutional neural networks to detect the crop deficit needed for real-time monitoring. The performed simulation has shown that the proposed model outperforms other related works and will positively increase both saving resources and the performance. © 2023 IEEE.

关键词： Crops

来源：评论

学校读者我要写书评

暂无评论

smart Electric Cars: Navigating the Intersection of Sustainable Innovation and Security Threats

Smart Electric Cars: Navigating the Intersection of Sustaina...

引用

2023 international conference on Advanced computing and Communication Technologies, ICACCTech 2023

作者： Kumar, Bhavy Mittal, Harish Kumar Rupam Kaur, Gurminder Rani, Yatu Jain, Vishal Bm Institute of Engineering and Technology Sonipat India

ISBN: (纸本)9798350380880

smart electric cars, while revolutionizing the automotive industry with their environmental benefits and advanced features, also present potential risks in the realm of security and weaponization. This paper delves into the dual nature of smart electric cars, highlighting their transformative impact on sustainable transportation and the emerging threats they pose when weaponized for malicious intents. We discuss the principal mechanisms that underpin these vehicles and explore the various weaponization risks, including cyberattacks, espionage, and data breaches. Furthermore, we propose countermeasures to mitigate these threats, emphasizing the importance of robust cybersecurity frameworks and international cooperation. The paper also sheds light on the challenges faced in implementing these countermeasures and offers insights into future directions for ensuring the safe and secure adoption of smart electric cars. Through a comprehensive analysis, this research underscores the need for a balanced approach, harnessing the benefits of smart electric cars while safeguarding against potential weaponization. © 2023 IEEE.

关键词： Cybersecurity

来源：评论

学校读者我要写书评

暂无评论

Adaptive smart Cities In Pandemics And Natural Disasters 14

Adaptive Smart Cities In Pandemics And Natural Disasters

引用

14th international conference on Information and Communication systems, ICICS 2023

作者： Banat, Mohammad M. Saeed, Anas K. Jordan University of Science and Technology Department of Electrical Engineering Irbid22110 Jordan

ISBN: (纸本)9798350307870

Rapid technological developments in smart cities have unveiled new dimensions of research, one of which is the adaptive capabilities of smart cities. In this paper, we introduce the 'adaptive smart city' concept. We discuss adaptive smart city components, parameters, processes and mechanisms. Furthermore, we propose a detailed procedure for smart city adaptation in cases of pandemics and natural disasters. © 2023 IEEE.

关键词： smart city

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 << < 24 25 26 27 28 29 30 31 32 33 > >>

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：