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

47,667 篇 会议
7,704 篇 期刊文献
257 册 图书
1 篇 科技报告

馆藏范围

55,629 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

33,620 篇 工学
- 17,090 篇 计算机科学与技术...
- 13,934 篇 软件工程
- 9,394 篇 电气工程
- 9,096 篇 信息与通信工程
- 8,450 篇 电子科学与技术（可...
- 6,427 篇 控制科学与工程
- 3,115 篇 动力工程及工程热...
- 2,658 篇 光学工程
- 2,613 篇 机械工程
- 2,462 篇 生物工程
- 2,288 篇 仪器科学与技术
- 2,270 篇 生物医学工程（可授...
- 1,938 篇 化学工程与技术
- 1,652 篇 材料科学与工程（可...
- 1,105 篇 交通运输工程
- 1,048 篇 力学（可授工学、理...
- 996 篇 安全科学与工程
18,226 篇 理学
- 9,199 篇 数学
- 7,105 篇 物理学
- 2,754 篇 统计学（可授理学、...
- 2,677 篇 生物学
- 2,227 篇 系统科学
- 1,973 篇 化学
5,940 篇 管理学
- 4,037 篇 管理科学与工程(可...
- 2,126 篇 工商管理
- 2,122 篇 图书情报与档案管...
1,709 篇 医学
- 1,492 篇 临床医学
- 1,374 篇 基础医学(可授医学...
- 933 篇 药学(可授医学、理...
1,034 篇 法学
937 篇 经济学
- 935 篇 应用经济学
457 篇 农学
454 篇 教育学
198 篇 文学
150 篇 军事学
31 篇 艺术学
2 篇 哲学
2 篇 历史学

主题

1,082 篇 accuracy
890 篇 computational mo...
838 篇 feature extracti...
723 篇 training
656 篇 switches
643 篇 optimization
626 篇 mathematical mod...
600 篇 real-time system...
477 篇 deep learning
476 篇 predictive model...
453 篇 bandwidth
437 篇 machine learning
425 篇 internet of thin...
402 篇 robustness
399 篇 reliability
399 篇 neural networks
399 篇 voltage control
387 篇 monitoring
386 篇 support vector m...
375 篇 wireless communi...

机构

168 篇 dept. of electri...
82 篇 north-west unive...
82 篇 institut univers...
80 篇 national centre ...
79 篇 infn sezione di ...
76 篇 infn sezione di ...
66 篇 università di ca...
60 篇 dept. of electr....
58 篇 dept. of electri...
56 篇 school of automa...
52 篇 dept. of electri...
50 篇 dept. of electri...
50 篇 leiden universit...
46 篇 dept. of electri...
46 篇 dept. of electri...
45 篇 dept. of electri...
42 篇 infn lnf via enr...
42 篇 in2p3 lpc campus...
40 篇 dept. of electri...
39 篇 dept. of compute...

作者

85 篇 ferrara g.
85 篇 ardid m.
84 篇 chen a.
84 篇 calvo d.
84 篇 gal t.
84 篇 bozza c.
74 篇 kalekin o.
64 篇 díaz a.f.
62 篇 huang f.
61 篇 singh bhim
52 篇 kulikovskiy v.
50 篇 boumaaza j.
41 篇 benoit d.m.
41 篇 eddymaoui a.
40 篇 gagliardini s.
40 篇 labalme m.
37 篇 androulakis g.
34 篇 de palma m.
34 篇 khatun a.
33 篇 coleiro a.

语言

52,515 篇 英文
1,877 篇 其他
813 篇 中文
334 篇 朝鲜文
107 篇 日文
5 篇 德文
2 篇 西班牙文
2 篇 法文
2 篇 斯洛文尼亚文
2 篇 土耳其文
1 篇 阿拉伯文
1 篇 捷克文
1 篇 葡萄牙文

检索条件"机构=Dept. of Electrical and Computer Engineering and Technology"

共 55629 条记录，以下是4701-4710 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 Single Phase DC-AC Converter using Dual Active Bridge fed Unfolder Circuit with Current Stress Minimization 1

A Single Phase DC-AC Converter using Dual Active Bridge fed ...

引用

1st IEEE Industrial Electronics Society Annual On-Line Conference, ONCON 2022

作者： Kedia, Akash Das, Anandarup Indian Institute of Technology Delhi Dept. of Electrical Engineering New Delhi India

ISBN: (纸本)9798350398069

Dual Active Bridge (DAB) fed Unfolder circuit can be used for direct integration of a DC source with single phase AC grid for battery charging or grid support applications. However, with conventional Single Phase Shift (SPS) control of DAB, high circulating current flows within the circuit leading to increased conduction losses and current stress in the switches. In this work, a new EPS (Extended Phase Shift) based control strategy is being proposed to minimize the current stress in the DAB. The proposed method has substantial advantage in reducing the peak current, which is caused due to the pulsating dc voltage of the shape of a rectified line frequency sine wave at the output of the DAB. In addition, a method to incorporate the current minimization algorithm within the closed loop control is also proposed. Along with this, the size of the dc link capacitance and the filtering requirement in the ac side also gets reduced because of the Unfolder circuit present at the output of the DAB. The proposed strategy has been explained and analyzed in detail and verified using MATLAB software. © 2022 IEEE.

关键词： MATLAB

来源：评论

学校读者我要写书评

暂无评论

Human Emotion Recognition from EEG-brain Signals using Enhanced Machine Learning Method

Human Emotion Recognition from EEG-brain Signals using Enhan...

引用

International Conference on Advancements in Computational Sciences (ICACS)

作者： Ghulam Ghous Shaheryar Najam Ahmad Jalal Dept. of Electrical & Computer Engineering Riphah International University Islamabad Pakistan Dept. of Computer Science Air University Islamabad Pakistan

ISBN: (数字)9798331533038

ISBN: (纸本)9798331533045

This study explores the application of advanced machine learning techniques to EEG data for detecting emotions in individuals with cognitive disabilities. Utilizing the SEED-IV dataset, we analyze EEG recordings from 15 participants across multiple sessions to identify emotional states such as happiness, sadness, fear, and neutrality. To ensure data quality, we employ preprocessing techniques including bandpass filtering and downsampling. Our proposed model integrates multi-class Support Vector Machine (SVM) with AAFST, an innovative feature selection and transformation mechanism. The effectiveness of this approach is demonstrated by an SVM accuracy of 85%, showcasing its capability to extract subtle emotional responses from EEG data. This research contributes to the growing field of affective computing, emphasizing the advantages of combining machine learning with EEG analysis to enhance the detection and understanding of emotions in individuals with cognitive disabilities.

关键词： Support vector machines Emotion recognition Accuracy Filtering Machine learning Feature extraction Electroencephalography Physiology Recording Emotional responses

来源：评论

学校读者我要写书评

暂无评论

Mobile Robot Manipulator Localization in Indoor Environments for Object Picking Tasks 6

Mobile Robot Manipulator Localization in Indoor Environments...

引用

6th International Conference on Control and Robotics, ICCR 2024

作者： Xie, Yunfan Pongthanisorn, Goragod Kaneko, Shin-Ichiro Capi, Genci Graduate School of Science and Engineering Hosei University Dept. of Mechanical Eng. Tokyo Japan National Institute of Technology Toyama College Department of Electrical and Control Systems Engineering Toyama Japan

ISBN: (纸本)9798331518158

In dynamic and unpredictable work environments such as manufacturing, logistics, and automated warehouses, achieving high-precision self-localization estimation for efficient object picking are critical challenges for mobile robots. Ensuring accuracy and adaptability is essential for their successful operation. This paper presents a new method that integrates RGB cameras with Contrastive Learning (CL) for self-localization estimation and advanced object picking for mobile manipulators. The effectiveness of the proposed method for location estimation in object picking is verified in indoor environments. © 2024 IEEE.

关键词： Contrastive Learning

来源：评论

学校读者我要写书评

暂无评论

An Advanced MIMO Multicarrier Framework for NTN-Based 5G Broadcast/Multicast Transmissions

An Advanced MIMO Multicarrier Framework for NTN-Based 5G Bro...

引用

IEEE Metrology for Aerospace

作者： Talha Faizur Rahman Vuk Marojevic Claudio Sacchi Dept. of Electrical and Computer Engineering Mississippi State University Mississippi State MS Dept. of Information Engineering and Computer Science University of Trento Trento Italy Dept. of Electrical Engineering The University of New Mexico Albuquerque NM

ISBN: (数字)9798350385045

ISBN: (纸本)9798350385052

Satellites are teaming up with 5G, forming a non-terrestrial network (NTN), to support broadband applications over wide coverage areas. However, low latency and high reliability are the challenges in NTN which is addressed through the use of low-earth orbit (LEO) satellites. High transmission efficiency can be accomplished by employing multiple-input multiple-output (MIMO) antenna systems and multicarrier wave-forms. Conventional multicarrier techniques, such as Orthogonal Frequency Division Multiplexing (OFDM) and its variants, are sensitive to the nonlinear distortion of high power amplifiers (HPAs) and high Doppler environments. Therefore, we consider Constant Envelope OFDM (CE-OFDM) assisted with Space-Time Shift Keying (STSK) and Low-Density Parity Check (LDPC) encoding for 5G broadcast/multicast systems based on LEO satellites working in the L-band. We propose a low complexity receiver based on A Posteriori Probability (APP) STSK decoding integrated with LDPC decoding, in which we derive the APP of LDPC coded bits for the STSK-CE-OFDM transmission. We analyze the computational complexity of the proposed receiver scheme and conclude that it is effective in counteracting HPA nonlinearity and high Doppler effects inherent to LEO satellites. Numerical results show that the proposed framework outper-forms conventional multicarrier techniques with a gain as high as 16 dB in the presence of amplifier nonlinearity.

关键词： 5G mobile communication OFDM Satellite broadcasting Transmitting antennas Low earth orbit satellites Receivers Parity check codes

来源：评论

学校读者我要写书评

暂无评论

Synergistic Skin Cancer Classification: Vision Transformer alongside MobileNetV2 4

Synergistic Skin Cancer Classification: Vision Transformer a...

引用

4th International Conference on Intelligent Technologies, CONIT 2024

作者： Kumar, M Ranjith Priyanga, S. Anusha, Janani Srinivasan Chatiyode, Veda Santiago, Jerome Revathi, P. Vellore Institute of Technology School of Computer Science and Engineering Chennai India Amrita School of Computing Dept. of Computer Science and Engg. Amrita Vishwa Vidyapeetham Chennai India C. Abdul Hakeem College of Engg. and Tech. Dept. of Computer Science and Engg. Melvisharam Vellore India

ISBN: (纸本)9798350349900

Skin cancer is one of the most common types of cancer in the world, and it poses major health risks due to its ability to spread quickly and metastasize. Early and accurate identification is crucial for treatment success and improved patient outcomes. This proposed work combines the MobileNetV2 and Vision Transformer (ViT) architectures to create a hybrid automated skin cancer classification technique. This technique aims to increase the accuracy and efficiency of dermatological diagnosis tools by combining MobileNetV2's effective feature extraction capabilities with ViT's self-attention mechanism. After testing on the HAM10000 dataset, this hybrid model outperformed individual models with a remarkable 96.3% classification accuracy. Not only did the integration of ViT and MobileNetV2 improve the classification accuracy but it also demonstrated how various deep-learning architectures work together to tackle complex image analysis tasks. Classifying skin cancers is critical to the medical industry because it allows for the early diagnosis of various dermatological disorders, allowing prompt intervention and treatment. These benefits can eventually improve patient outcomes and save lives in huge numbers. The findings of this research highlight the potential of deep learning to transform dermatological diagnostics and open the door to creating systems that will significantly impact clinical practice by detecting skin cancer with greater accuracy and efficiency. © 2024 IEEE.

关键词： Lung cancer

来源：评论

学校读者我要写书评

暂无评论

Cluster-Wise Response Aggregation-Based Differentially Private Pool Energy Market Model

Cluster-Wise Response Aggregation-Based Differentially Priva...

引用

Sustainable Energy and Future Electric Transportation (SEFET), International Conference on

作者： Shitikantha Dash Ranjana Sodhi Sri Niwas Singh Dept. of Electrical & Comp. Engineering National University of Singapore Singapore Dept. of Electrical Engineering Indian Institute of Technology Ropar Rupnagar India Dept. of Electrical Engineering Indian Institute of Technology Kanpur Kanpur India

ISBN: (数字)9798350383997

ISBN: (纸本)9798350384000

This paper 1 1 A full financial support is provided in the Core Research Grant by the Science and engineering Research Board (SERB), India, under IIT Ropar project no. CRG/2018/000084, to carry out this research work. proposes a differential privacy (DP) mechanism for the decentralised pool-based local energy market (PEM) model in the distribution grid. Many traditional PEM models employ alternating direction method of multipliers (ADMM) to reduce the confidential information sharing between participants and energy market operator (EMO). However, an EMO/Aggregator with malicious intent or any cyber-attacker reading the communication between the EMO and participants can still infer the value by looking into their responses over a large time-span. To address the challenge, the proposed DP mechanism completely masks these shared exact information without altering the PEM output from the traditional one. The masking is achieved by three stages, namely 1) clustering, 2) random sharing, and 3) aggregation. The efficacy of the proposal is validated using the Pecan street dataset on MATLAB with Gurobi solver, and a very high degree of DP is observed without any loss of optimality in PEM clearing.

关键词： Differential privacy Law Transportation Information sharing Mathematical models Convex functions Proposals MATLAB

来源：评论

学校读者我要写书评

暂无评论

Digital Twin based Internet of Vehicles

Digital Twin based Internet of Vehicles

引用

International Conference on computer Communications and Networks (ICCCN)

作者： Cheng Qian Mian Qian Kun Hua Hengshuo Liang Guobin Xu Wei Yu Dept. of Computer and Information Technology Hood College USA Dept. of Computer and Information Sciences Towson University Dept. of Electrical Engineering California Polytechnic State University USA Dept. of Computer Science Morgan State University USA

ISBN: (数字)9798350384611

ISBN: (纸本)9798350348439

The Internet of Vehicles (IoV), as one subset of the Internet of Things (IoT) in the smart transportation area, integrates vehicle networks with sensors and actuators. By connecting all sensors to the network, the IoV enables smart transportation (i.e., autonomous vehicles) and makes smart cities a reality. In smart transportation systems, roadside units (RSUs) capture all vehicle information and serve as gateways. However, smart transportation infrastructure has yet to mature in the current stage. RSUs are insufficient to support all vehicles. Meanwhile, the low computational capability of vehicles makes it challenging to recompute the driving route as the road environment changes. To address the problem of insufficient RSU coverage, one protocol called IEEE 802.11p enables vehicle-to-vehicle communication using relays. Nonetheless, data transfer among vehicles via relays is still time-consuming for a large-scale transportation network. To deal with the above issues, in this paper, we propose an IoV framework using digital twins (DTs) to digitize the IoV environment and assign nearby IoT gateways compatible with the RSU communication protocol. This framework lets DTs update the vehicle’s driving route based on real-time information. With a case study, we evaluate the efficacy of DT-assisted IoV based on communication latency and vehicle driving efficiency. Our evaluation results confirm that the proposed framework can efficiently enhance communication latency when the relay needs to pass through two or more vehicles and reduce travel time when vehicles receive updated route information at intersections.

关键词： Smart cities Vehicle driving Vehicular ad hoc networks Logic gates Routing protocols Smart transportation Digital twins

来源：评论

学校读者我要写书评

暂无评论

Twitter Sentiment Analysis and Prediction using NLP

Twitter Sentiment Analysis and Prediction using NLP

引用

2023 International Conference on Data Science, Agents and Artificial Intelligence, ICDSAAI 2023

作者： Sindhu, M. Sabareeswari, T.C. Tamilselvi, A. Chennai Institute of Technology Department of Computer Science and Engineering Kanchipuram Tamilnadu Kundrathur India Chennai Institute of Technology Dept. of Electronics and Communication Engineering Kanchipuram Tamilnadu Kundrathur India

ISBN: (纸本)9798350348910

Social media has emerged as a pivotal platform for individuals to convey their thoughts and emotions, making it imperative for businesses, governments, and organizations to leverage artificial intelligence, such as sentiment analysis. This tool allows them to gauge public reactions on social media, particularly in the context of significant events like lockdown announcements. Employing relevant hashtags on Twitter, we aim to conduct sentiment analysis on how Indians are responding to these announcements and construct a predictive analytics model to discern people's behaviour. The developed model incorporates the nuances of modern internet slang to capture and interpret user sentiments accurately. This technology not only facilitates an in-dept. understanding of public sentiment but also offers a visually intuitive representation for easy comprehension. The applications of this solution are broad, benefiting organizations, businesses, and governments in various *** methodology involves the collection of tweets using Twitter's provided services, followed by the storage of this data in our database. Subsequent processing focuses on extracting meaningful and pertinent elements from the text to facilitate a comprehensive analysis. © 2023 IEEE.

关键词： Sentiment analysis

来源：评论

学校读者我要写书评

暂无评论

Development of LVAC Distribution Network Topologies with PV System Integration for an Urban Area: A Case Study of Cambodia

Development of LVAC Distribution Network Topologies with PV ...

引用

2022 IEEE International Conference on electrical, computer, and Energy Technologies, ICECET 2022

作者： Vai, Vannak Eng, Samphors Chhlonh, Chhith Institute of Technology of Cambodia Dept. of Electrical and Energy Engineering Phnom Penh Cambodia

ISBN: (数字)9781665470872

ISBN: (纸本)9781665470872

The paper focuses on designing low voltage (LV) distribution network topologies with PV integration with load profile uncertainty considering the minimum power loss, balanced load, and cost of energy. In the first step, the repeated phase ABC algorithm is created to search for a balanced load from the MV/LV transformer to all households. Next, the genetic algorithm (GA) is implemented to find out the optimal topology with minimum power loss as the second algorithm. Then, the load profile impact on network topologies is investigated. A comparative study of two different concepts allows providing that the genetic algorithm is the optimal solution in designing the LV distribution network topology. Finally, the economic analysis of the grid-connected PV system with different electricity tariffs with hybrid optimization software is provided over the planning study. To confirm the proposed method, a distribution network of 45-buses in the urban area in Phnom Penh city, Cambodia, is chosen for a studied case. © 2022 IEEE.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

A Dementia Diagnosis Technique Based on AI and Hardware Acceleration

A Dementia Diagnosis Technique Based on AI and Hardware Acce...

引用

2023 IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things, AIBThings 2023

作者： Khalil, Kasem Khan Mamun, Mohammad M. R. Sherif, Ahmed Elsersy, Mohamed Imam, Ahmad Abdel-Aliem Abouzaid, Kamal University of Mississippi Electrical and Computer Engineering Department MS United States Tennessee Technological University Electrical and Computer Engineering Department TN United States University of Southern Mississippi School of Computing Sciences and Computer Engineering MS United States Higher Colleges of Technology Computer and Information Systems Dept. Al Ain United Arab Emirates William Carey University College of Osteopathic Medicine Mississippi MS United States

ISBN: (纸本)9798350322347

The effects of Alzheimer's disease (AD) are devastating, both personally and within the patient's family, as the disease progresses slowly over many years. It could significantly affect illness consequences and outcomes if detected early and accurately. Non-invasive medical testing often uses blood bio-samples because they are easy to collect and relatively cheap to analyze. This paper proposes a federated learning (FL)-based diagnostic model for AD using blood bio-samples. We have used blood bio-sample data sets downloaded from the ADNI website to test and compare the efficacy of our models. According to the enormous data collected for early AD detection, we used a hardware acceleration scheme to implement our FL model to fasten the training and testing operations. The hardware-Accelerator method is implemented using VHDL and Altera 10 GX FPGA. The simulation results show the proposed algorithms reach an accuracy and sensitivity of 89% and 87%, respectively, for early detection while taking less time to train than other state-of-The-Art algorithms. The proposed algorithms also consume 52-172 mW, which makes them suitable for constrained devices. © 2023 IEEE.

关键词： Diagnosis

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 << < 467 468 469 470 471 472 473 474 475 476 > >>

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：