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4721-4730 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：

Development and Analysis of a High-Efficiency T-Type Inverter based 3.7 kW Wireless EV Charging Applications

Development and Analysis of a High-Efficiency T-Type Inverte...

引用

2025 IEEE International Students' Conference on electrical, Electronics and computer Science, SCEECS 2025

作者： Venugopal, R. Balaji, C. Shanmugam, Yuvaraja Srm Institute of Science and Technology Dept. of Electrical and Electronics Engineering Tamil Nadu Chennai603203 India Vignan's Foundation for Science Technology and Research Department of Eee Andhra Pradesh Vadlamudi522213 India

ISBN: (纸本)9798331529833

This paper presents the design and performance analysis of a T-type inverter optimized for wireless charging applications in electric vehicle (EV) batteries, aiming to enhance efficiency and reduce power losses. Traditional H-bridge inverter-based wireless power transfer (WPT) systems face challenges such as complex circuitry, voltage spikes, switching noise, and losses from switching, which impact overall efficiency. The proposed T-type inverter addresses these issues by improving voltage control and reducing switching losses, resulting in enhanced system efficiency. The system employs a series-series (S-S) compensation technique that provides better transmission control and performance, making it more adaptable to diverse load conditions. This compensation method, combined with optimized alignment tolerance and a high coupling coefficient, allows the system to efficiently use rectangular coils, which generate a more uniform magnetic field and minimize current loss. Designed for a 3.7 kW output at an operating frequency of 85 kHz, the T-type inverter-based WPT system was validated through MATLAB/Simulink simulations and a laboratory prototype. Results demonstrate an efficiency of 95.20% in simulation and 93.248% in hardware testing. Additionally, DC-DC efficiencies achieved are 94.78% in simulation and 96.177% in hardware. This research confirms the potential of T-type inverters in high-efficiency wireless EV charging systems. © 2025 IEEE.

关键词： Inductive power transmission

来源：评论

学校读者我要写书评

暂无评论

Enhancing Stockpile Management Through Deep Learning with a Focus on Demand Forecasting and Inventory Optimization

Enhancing Stockpile Management Through Deep Learning with a ...

引用

2024 IEEE International Conference on Recent Advances in Science and engineering technology, ICRASET 2024

作者： Sheela, S. Latha, A.P. Jyothi, S. Vidyarani, H.J. Komala, M. Sharmila, N. Mallikarjunaswamy, S. Pavithra, G.S. Global Academy of Technology Department of Computer Science and Engineering Bengaluru India Dayananda Sagar College of Engineering Department of Information Science and Engineering Bengaluru India Dr. Ambedkar Institute of Technology Department of Information Science and Engineering Bengaluru India Sjb Institute of Technology Dept of Electronics and Communication Engineering Bengaluru India Jss Science and Technology University Dept of Electronics and Electrical Engineering Mysuru India Jss Academy of Technical Eduction Dept of Electronics and Communication Engineering Bengaluru India Rns Insitute of Technology Dept of Computer Science and Alml Bengaluru India

ISBN: (纸本)9798350388602

Stockpile management is essential for industries to efficiently meet customer demands while minimizing costs. Traditional methods like the Economic Order Quantity (EOQ) model and ARIMA often struggle with adaptability and accuracy, leading to inefficiencies such as overstocking or stockouts. This study proposes using Long Short-Term Memory (LSTM) networks to improve demand forecasting in stockpile management. LSTMs are designed to handle sequential data, capturing complex patterns and long-term dependencies that conventional methods miss. The LSTM-based approach achieved up to a 0.30% improvement in forecasting accuracy, resulting in more precise inventory control and better alignment with actual demand. The proposed system, termed Deep Inventory Management (DIM), incorporates LSTM models that adapt to changes in demand by considering factors such as seasonality and trends. This adaptive approach allows for proactive inventory predictions, enhancing decision-making in procurement and stock levels. Key abbreviations include LSTM (Long Short-Term Memory), EOQ (Economic Order Quantity), and DIM (Deep Inventory Management). By aligning inventory more closely with demand, this deep learning approach enhances operational efficiency, reduces costs, and improves customer satisfaction, making it a valuable advancement over traditional inventory management methods. © 2024 IEEE.

关键词： Semantic Segmentation

来源：评论

学校读者我要写书评

暂无评论

Analysis and Design Considerations for MASH of Noise Shaped SAR ADCs

Analysis and Design Considerations for MASH of Noise Shaped ...

引用

International Conference on VLSI Design

作者： R Arundeepakvel Ankesh Jain Dept. of Electrical Engineering Indian Institute of Technology Delhi India

ISBN: (数字)9798331522445

ISBN: (纸本)9798331522452

This brief analyses the residue amplifier non-idealities and design considerations for noise shaping (NS) successive approximation register (SAR) based multi stage noise shaping (MASH) analog to digital converter (ADC) architecture. One of the major source of performance degradation of MASH modulators occurs due to error leakage. The sources of errors causing this leakage are examined to assist designers understand the impact of amplifier non-idealities directly on the modulator performance. The analysis is conducted in MATLAB Simulink ® by simulating both the non-idealities and the MASH modulator using mathematical equations.

关键词： Multi-stage noise shaping Noise Modulation Very large scale integration Mathematical models Topology Registers MATLAB Tuning Optimization

来源：评论

学校读者我要写书评

暂无评论

Different MPPT Algorithms for DC-DC Converter

Different MPPT Algorithms for DC-DC Converter

引用

IEEE Students' Conference on electrical, Electronics and computer Science (SCEECS)

作者： Boddepalli Hemanth Kumar Arnab Ghosh Dept. of Electrical Engineering National Institute of Technology Rourkela India

ISBN: (数字)9798331529833

ISBN: (纸本)9798331529840

The efficient and appropriate power flow technologies are necessary for better performance of renewable energy system applications. The comparative study of different MPPT algorithms, which are best for RES applications due to their influence on efficiency, low response time and the stability under different intervals of irradiance and temperature. When comes to this context, the key focus is evaluation of algorithms to the converter which is bidirectional by considering the desired operational conditions. The observations of this study are a forward step to optimization of systems with bidirectional converters in improving the reliability and sustainability.

关键词： Maximum power point trackers Photovoltaic systems Renewable energy sources Artificial neural networks DC-DC power converters Pulse width modulation Reliability Time factors Sustainable development Thermal stability

来源：评论

学校读者我要写书评

暂无评论

Video key concept extraction using Convolution Neural Network 3

Video key concept extraction using Convolution Neural Networ...

引用

3rd IEEE International Conference on AI in Cybersecurity, ICAIC 2024

作者： Sardar, Tanvir H Amin Hazarika, Ruhul Pandey, Bishwajeet Guru Prasad, M.S. Mahmudul Hassan, Sk Dodmane, Radhakrishna Gohel, Hardik Dept. of Computer Science & Engg Bengaluru India Manipal Institute of Technology Department of Information Technology Bengaluru India Astana It University Department of Intelligent System and Cyber Security Kazakhstan Dept. of Computer Science & Engg. Dehradun India VIT-AP School of Computer Science and Engineering India Nmam Institute of Technology Department of Computer Science & Engg. Nitte India University of Houston Department of Cse Victoria United States

ISBN: (纸本)9798350381856

Objectives: This work aims to develop an automated video summarising methodology and timestamping that uses natural language processing (NLP) tools to extract significant video ***: The methodology comprises extracting the audio from the video, splitting it into chunks by the size of the pauses, and transcribing the audio using Google's speech recognition. The transcribed text is tokenised to create a summary, sentence and word frequencies are calculated, and the most relevant sentences are selected. The summary quality is assessed using ROUGE criteria, and the most important keywords are extracted from the transcript using ***: Our proposed method successfully extracts key points from video lectures and creates text summaries. Timestamping these key points provides valuable context and facilitates navigation within the lecture. Our method combines video-to-text conversion and text summarisation with timestamping key concepts, offering a novel approach to video lecture analysis. Existing video analysis methods focus on keyword extraction or summarisation, while our method offers a more comprehensive approach. Our timestamped key points provide a unique feature compared to other methods. Our method enhances existing video reports by (i) providing concise summaries of key concepts and (ii) enabling quick access to specific information through timestamps. (iii) Facilitating information retrieval through a searchable index. Further research directions: (i) Improve the accuracy of the multi-stage processing pipeline. (ii) Develop techniques to handle diverse accents and pronunciations. (iii) Explore applications of the proposed method to other video genres and ***/Improvements: This approach is practical in giving accurate video summaries, saving viewers time and effort when comprehending the main concepts presented in a video. © 2024 IEEE.

关键词： Speech recognition

来源：评论

学校读者我要写书评

暂无评论

Revolutionizing Campus Exploration with GikiLenS: A Deep Learning-Powered Object Detection App 18

Revolutionizing Campus Exploration with GikiLenS: A Deep Lea...

引用

18th IEEE International Conference on Emerging Technologies, ICET 2023

作者： Mueed, Iqra Arshad, Usama Ali, Raja Hashim Gik Institute of Engg. Sciences & Technology Faculty of Computer Science & Engineering Topi Pakistan University of Europe for Applied Sciences Dept. of Technology & Software Engineering Berlin Germany

ISBN: (纸本)9798350328172

For newcomers and tourists, navigating university campuses can be difficult, resulting in aggravation and lost time. We respond by introducing 'GikiLenS', an object identification application driven by deep learning that revolutionizes campus exploration by accurately identifying buildings and landmarks while enhancing user experience. GikiLenS is a comprehensive and user-friendly smartphone application that precisely caters to the demands of newcomers and visitors, unlike previous studies in campus navigation. Our study intends to close this gap and develop a reliable method for identifying campus buildings, optimizing navigation, and enhancing user experience. Through rigorous testing, GikiLenS has proven to have remarkable real-time building detection accuracy, highlighting its potential as an important tool for campus exploration. The app's outcomes and conclusions demonstrate how well it works to give users specific building information, promoting a more knowledgeable and enjoyable campus experience. The importance of our findings lies in the development of a unique, user-centered app that offers a cutting-edge method of campus mobility. Our contribution consists of a game-changing method for building detection that improves campus exploration and user pleasure. © 2023 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Flexible GTVSG Power Quality Enhancement Using Resilient Heterogeneous Voltage and Current Control

Flexible GTVSG Power Quality Enhancement Using Resilient Het...

引用

Power, Control and Computing Technologies (ICPC2T), Conference on

作者： Sameer Kumar Behera Anup Kumar Panda N. Venkataramana Naik Swapnajit Pattnaik Prerana Mohapatra Markala Karthik Dept. of Electrical Engineering National Institute of Technology Rourkela

This article proposes an resilient heterogeneous voltage and current control scheme (RHVCS) for a three-phase grid-tied virtual synchronous generator (GTVSG) system to provide harmonic compensation and consequently improve the system's power quality. The GTVSG system, as mentioned above, incorporates renewable energy-based distributed generation units (REDG) profoundly photovoltaic generators (PVGs) on the source terminal, having dynamic input characteristics. Considering the control aspects for GTVSG, it adopts various current and voltage control methods discussed in the literature. However, the proposed RHVCS implemented in the GTVSG digital controller helps reduce the number of lowpass/band-pass filter involved. Furthermore, the proposed controller uses a phase lock loop (PLL) less strategy which automatically necessitates the identification of the deviation in the GTVSG system frequency from the power control loop. The proposed RHVCS incorporates three different harmonic compensation objectives illustrated in different sections. Additionally, the proposed control strategy minimizes the digital controller's complexity without infringing on the harmonic compensation's performance, which is commendable. Finally, the above controller is implemented in MATLAB/Simulink platform

关键词：

来源：评论

学校读者我要写书评

暂无评论

Design of Alcohol Detection and Alert System for Vehicles

Design of Alcohol Detection and Alert System for Vehicles

引用

Advances in Computing, Communication and Networking (ICAC2N), International Conference on

作者： Indu Bhardwaj Saravanan D Ajay Bhardwaj Daman Yadav Vijeta Kumari R Ramesh Kumar Dept. of Electrical Electronics and Communication Engineering Galgotias University Greater Noida India Dept. of Electrical and Electronics Engineering Madanapalle Institute of Technology & Science India Dept. of Computer Science and Engineering Delhi Technological University New Delhi India

ISBN: (数字)9798350356816

ISBN: (纸本)9798350356823

Recent days accidents are increasing on an exponential basis due to drinking and drive. Driving after drinking alcohol is a major cause of the majority of the accidents due to which sometimes innocent people lose their lives. As the number of vehicles is increasing day by day, accidents are also occurring due to many reasons but alcohol consumption is a major factor in many of the accidents. To avoid these accidents, an alcohol detection and alert system for vehicles is proposed in this paper that is based on MQ3 sensor. The proposed system gives a coherent solution to control injuries because of consumption of alcohol while driving. The alcohol detected by the MQ-3 sensor is processed via an ATmega328P Microcontroller that collate it with a fixed threshold for compliance. The device will nonstop monitor concentration of alcohol by the alcohol recognition sensor and consequently flip off the working of automobile’s engine if the alcohol concentration is exceeding threshold value. The replica can even send the alert of locality of the car via SIM900A (GSM module). The model presents an adequate answer to regulate injuries by the influence of alcohol driving. The LCD module is used to show that alcohol has been identified. The proposed system is cost effective, less bulky and more reliable.

关键词： GSM Costs Microcontrollers Alcoholic beverages Liquid crystal displays Reliability Injuries Monitoring Engines Accidents

来源：评论

学校读者我要写书评

暂无评论

Effect of Interest Variation and Prefix Length on Pending Interest Table (PIT) Performance in Named Data Networking (NDN) 9

Effect of Interest Variation and Prefix Length on Pending In...

引用

9th International Conference on Wireless and Telematics, ICWT 2023

作者： Khaderani, Helmi Ahmad Muhammadi, Ishlah Muhammad, Lutfi Razan Sucipto, Adi Kusumastuti, Luthfi Restu Nurhayati, Ade Ahdan, Syaiful Syambas, Nana Rachmana Bandung Institute of Technology Dept. of Telecommunication Engineering Bandung40132 Indonesia School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung40132 Indonesia Universitas Teknokrat Indonesia Faculty of Engineering & Computer Science Lampung35132 Indonesia Telkom University Faculty of Engineering Jakarta Barat11710 Indonesia

ISBN: (纸本)9798350305029

Pending interest table (PIT) is one of the data structures on each named data network router. The speed of delivery of interest as well as the interest served at PIT are several important parameters for measuring PIT performance. This research was conducted to analyze the performance of PIT by measuring the round trip time (RTT) of sending data and sending interests from consumers to producers on the Palapa Ring Sumatra topology. Testing is carried out using miniNDN by varying the length of the prefix and the number of interests sent. From the simulation and results of the analysis that has been carried out, it is known that the correlation between the length of the prefix and RTT is directly proportional. The longer the prefix of an interest packet, the higher the RTT value. Apart from the simulation results, the number of interest packets sent is the same as those received at each node. © 2023 IEEE.

关键词： Topology

来源：评论

学校读者我要写书评

暂无评论

Augmented memory replay-based continual learning approaches for network intrusion detection 23

Augmented memory replay-based continual learning approaches ...

引用

Proceedings of the 37th International Conference on Neural Information Processing Systems

作者： Suresh Kumar Amalapuram Sumohana S Channappayya Bheemarjuna Reddy Tamma Dept. of Computer Science and Engineering Indian Institute of Technology Hyderabad India Dept. of Electrical Engineering Indian Institute of Technology Hyderabad India

Intrusion detection is a form of anomalous activity detection in communication network traffic. Continual learning (CL) approaches to the intrusion detection task accumulate old knowledge while adapting to the latest threat knowledge. Previous works have shown the effectiveness of memory replay-based CL approaches for this task. In this work, we present two novel contributions to improve the performance of CL-based network intrusion detection in the context of class imbalance and scalability. First, we extend class balancing reservoir sampling (CBRS), a memory-based CL method, to address the problems of severe class imbalance for large datasets. Second, we propose a novel approach titled perturbation assistance for parameter approximation (PAPA) based on the Gaussian mixture model to reduce the number of virtual stochastic gradient descent (SGD) parameter computations needed to discover maximally interfering samples for CL. We demonstrate that the proposed approaches perform remarkably better than the baselines on standard intrusion detection benchmarks created over shorter periods (KDDCUP'99, NSL-KDD, CICIDS-2017/2018, UNSW-NB15, and CTU-13) and a longer period with distribution shift (AnoShift). We also validated proposed approaches on standard continual learning benchmarks (SVHN, CIFAR-10/100, and CLEAR-10/100) and anomaly detection benchmarks (SMAP, SMD, and MSL). Further, the proposed PAPA approach significantly lowers the number of virtual SGD update operations, thus resulting in training time savings in the range of 12 to 40% compared to the maximally interfered samples retrieval algorithm.

关键词：

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 << < 469 470 471 472 473 474 475 476 477 478 > >>

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：