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

15,332 篇 会议
108 册 图书
102 篇 期刊文献

馆藏范围

15,541 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

9,048 篇 工学
- 5,135 篇 计算机科学与技术...
- 3,954 篇 软件工程
- 3,798 篇 控制科学与工程
- 2,622 篇 电气工程
- 1,540 篇 信息与通信工程
- 1,258 篇 机械工程
- 1,252 篇 电子科学与技术（可...
- 956 篇 动力工程及工程热...
- 749 篇 生物工程
- 703 篇 生物医学工程（可授...
- 623 篇 仪器科学与技术
- 539 篇 化学工程与技术
- 505 篇 交通运输工程
- 468 篇 光学工程
- 367 篇 安全科学与工程
- 346 篇 力学（可授工学、理...
- 305 篇 材料科学与工程（可...
- 296 篇 土木工程
4,138 篇 理学
- 2,101 篇 数学
- 1,200 篇 物理学
- 809 篇 生物学
- 722 篇 系统科学
- 523 篇 统计学（可授理学、...
- 485 篇 化学
1,718 篇 管理学
- 1,318 篇 管理科学与工程(可...
- 577 篇 工商管理
- 481 篇 图书情报与档案管...
495 篇 医学
- 457 篇 临床医学
- 408 篇 基础医学(可授医学...
- 302 篇 药学(可授医学、理...
236 篇 经济学
224 篇 法学
203 篇 农学
102 篇 教育学
52 篇 军事学
36 篇 文学
18 篇 艺术学

主题

827 篇 control systems
700 篇 automatic contro...
313 篇 computer science
308 篇 computational mo...
275 篇 mathematical mod...
254 篇 automation
223 篇 computer archite...
216 篇 real-time system...
206 篇 neural networks
196 篇 internet of thin...
154 篇 monitoring
152 篇 automatic voltag...
150 篇 switches
149 篇 process control
147 篇 stability analys...
147 篇 optimization
145 篇 deep learning
142 篇 cloud computing
137 篇 application soft...
134 篇 accuracy

机构

105 篇 school of automa...
85 篇 lovely professio...
35 篇 school of electr...
31 篇 department of co...
29 篇 department of el...
29 篇 department of el...
28 篇 mlr institute of...
27 篇 department of el...
26 篇 chitkara univers...
24 篇 college of medic...
23 篇 radiology techni...
23 篇 department of el...
21 篇 college of elect...
19 篇 centro de invest...
19 篇 school of optica...
19 篇 college of elect...
18 篇 new horizon coll...
18 篇 department of co...
18 篇 beijing aerospac...
17 篇 department of au...

作者

25 篇 singh bhim
22 篇 g. silva-navarro
20 篇 mengchu zhou
19 篇 k.g. shin
18 篇 wang wei
17 篇 loukianov alexan...
16 篇 m. a. reyes-barr...
15 篇 kang hee-jun
15 篇 wang jing
15 篇 yang yang
14 篇 silva-navarro g.
14 篇 j.a. moreno-cade...
14 篇 valeriy vyatkin
14 篇 l. leija
13 篇 alexander g. lou...
13 篇 liu yang
12 篇 leija l.
12 篇 liu jun
12 篇 manish gupta
10 篇 flores-nava l.m.

语言

13,893 篇 英文
1,539 篇 其他
177 篇 中文
3 篇 西班牙文
1 篇 土耳其文

检索条件"任意字段=International Conference on Electrical Engineering Computing Science and Automatic Control"

共 15542 条记录，以下是1551-1560 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：

Prediction of Noise-Type and its Elimination from Photoplethysmograph Signal 3

Prediction of Noise-Type and its Elimination from Photopleth...

引用

3rd IEEE international conference on control, Instrumentation, Energy and Communication, CIEC 2024

作者： Chowdhury, Soujanya Bose, Aytrik Mukherjee, Shatanik Chandra, Jayanta K. Ramkrishna Mahato Govt. Engg. College Dept. of Electrical Engineering West Bengal Purulia India Cognizant West Bengal Kolkata India

ISBN: (纸本)9798350313703

Non-invasive measurement of photoplethysmograph (PPG) signal is an emerging research area. However the presence of noises in such signals may give erroneous interpretations. This paper thus proposes a technique to identify the noise model in the PPG signal, followed by the suitable de-noising techniques. Reservoir computing (RC) model has been used for the classification purpose which reduces numbers of learnable parameters and provided fast training. Cepstrum analysis has been applied for the elimination of convolutive noises. The method has been tested on 700 PPG windows and yielded good results from the point of view of PPG de-noising and estimation of respiration rate (RR) in terms of NRMSE and PCC with a standalone hardware implementation on a low-cost resource-constrained embedded device (Raspberry Pi Zero W) having an end-to-end latency and memory engagement of 165.34 s and 331.10 KB respectively. © 2024 IEEE.

关键词： Additive noise

来源：评论

学校读者我要写书评

暂无评论

Semantic Features Extraction for Anomaly Detection from Real-World Videos

Semantic Features Extraction for Anomaly Detection from Real...

引用

2023 RIVF international conference on computing and Communication Technologies, RIVF 2023

作者： Tran, Minh-Hanh Tran, Thanh-Hai School of Electrical and Electronic Engineering Hanoi University of Science and Technology Hanoi Viet Nam

ISBN: (纸本)9798350315844

Video-based anomaly detection opens up numerous practical applications such as video surveillance and healthcare. Despite having been studied for an extended period, this problem remains highly challenging because of variations in anomalies caused by people, objects, or contexts. Furthermore, the issue of missing annotated datasets and imbalances in the training data can complicate the development of automatic detection systems. Moreover, many existing systems have attempted to detect anomalies by performing binary classification without providing any explanation of the results. This paper proposes a method to detect anomalies from video while providing a semantic explanation of the cause. We first deploy off-the-shelf techniques to detect people and objects in the scene, then we extract semantic features (motion, appearance, posture) to recognize anomalies. To focus more on posture change, we introduce new postural descriptions and time series descriptions of poses using a spatiotemporal graph convolutional neural network. The proposed method is validated on three public datasets: UCSD Ped2, CUHK Avenue, and ShanghaiTech Campus showing improvements over the baseline methods. © 2023 IEEE.

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Automated Stress Level Detection for Hospital Nurses: A Single Triaxial Wearable Accelerometer Sensor System Approach

Automated Stress Level Detection for Hospital Nurses: A Sing...

引用

international conference on electrical engineering, computing science and automatic control (CCE)

作者： Mohammad Sakib Syeda Shanaz Pervez Department of Electrical and Electronic Engineering University of Liberal Arts Bangladesh Dhaka Bangladesh

Advancements in wearable sensor technologies have revolutionized healthcare, particularly in nurses stress level detection using accelerometer-based data. Accurate detection of nurse stress throughout a day holds significant potential to enhance healthcare outcomes and optimize nursing workflows. However, existing research in this domain has been limited by small data-sets and short sampling duration’s, leading to constrained generalizability. To address these limitations comprehensively, this paper presents a data on nurses’ mental health in a practical setting are gathered using a wearable accelerometer sensor. To record the physiological and behavioral traits of the nurses, a single triaxial accelerometer is mounted on their heads. Multiple machine learning methods, such as Nearest Neighbor Classifiers (k-NN), Neural Networks (NN), Support Vector Machines (SVM), Naive Bayes (NB), Discriminant Analysis (DA), Decision Trees (DT), and Ensemble Classifiers, were used to assess and compare the accuracy of nurses’ stress levels. The Medium Gaussian-SVM study showed the best average performance of 80.4% and mean efficacy F-measure of 80.2% across all cases. whereas the Coarse Gaussian-SVM evaluation exhibited the lowest mean performance of 26.5%, accompanied by a mean F-measure of 26.1%. On a scale of 1–7, a questionnaire evaluated privacy issues. The results show our method’s potential for accurately determining nurses’ levels of stress, making it helpful for implementation in the future.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Text Recognition from Images Using Deep Learning Techniques

Text Recognition from Images Using Deep Learning Techniques

引用

international conference on Data Analytics, Intelligent computing, and Cyber Security, ICDIC 2020

作者： Narendra Kumar Rao, B. Pranitha, Kondra Ranjana Krishnaveni, C.V. Chakkaravarthy, Midhun Computer Science and Engineering Sree Vidyanikethan Engineering College Tirupati India Computer Science and Engineering B V Raju Institute of Technology Telangana Narasapur Medak India Department of IT Sairam Institute of Technology Tamil Nadu Chennai India Kadapa India Faculty of Computer Science and Multimedia Lincoln University College Kota Bharu Malaysia

ISBN: (纸本)9789811941610

One of the most significant methods utilized in the deep learning approach is text recognition. Text recognition is now a very significant activity that is utilized in many applications of current gadgets to recognize images in a detailed manner. automatic number plate recognition, for example, is an image processing approach that detects the vehicle's number (license) plate. The automatic number plate recognition system (ANPR) is a key feature that is used to manage traffic congestion. The goal of ANPR is to devise a method for automatically identifying permitted vehicles using vehicle numbers. automatic number plate recognition (ANPR) is utilized in a variety of applications, including traffic control, vehicle tracking, and automatic payment of tolls on roads and bridges, as well as monitoring systems, parking management systems, and toll collecting stations. The established approach first recognizes the vehicle before taking a picture of it. After that, the number plate region in the car is localized using a neural network, and the image is segmented. Using a character recognition approach, characters are retrieved from the plate. The results, together with the time stamp, are then saved in the database. It is implemented and performed in Python, and the results are tested on a real picture. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

automatic Segmentation of Human Placenta from 3D Multimodal Ultrasound Data 25

Automatic Segmentation of Human Placenta from 3D Multimodal ...

引用

25th international conference on Digital Image computing: Techniques and Applications, DICTA 2024

作者： Singh, Sonit Stevenson, Gordon Mian, Brendan Welsh, Alec Sowmya, Arcot School of Computer Science and Engineering Unsw Sydney Australia School of Womens & Children Health Unsw Sydney NSW Australia Department of Maternal-Fetal Medicine Royal Hospital for Women RandwickNSW Australia Nepean Blue Mountains Local Health District Nepean Hospital NSW Australia

ISBN: (纸本)9798350379037

Ultrasound is the most commonly used medical imaging modality for diagnosis and screening in clinical practice. Due to its safety profile, noninvasive nature and portability, ultrasound is the primary imaging modality for fetal assessment in pregnancy. Current ultrasound processing methods are either manual or semi-automatic and are therefore laborious, time-consuming and prone to errors, and automation would go a long way in addressing these challenges. In this work, we propose auto-matic three-dimensional multi-modal ultrasound segmentation of the human placenta using deep learning combined with different fusion strategies. We collected data containing B-mode and power Doppler ultrasound scans for 400 studies. We evaluated different fusion strategies and state-of-the-art image segmentation networks for placenta segmentation based on standard overlap- and boundary-based metrics. We found that multimodal information in the form of B-mode and power Doppler scans outperform any single modality. Furthermore, we found that B-mode and power Doppler input scans fused at the data level provide the best results with a mean Dice Similarity Coefficient (DSC) of 0.849. We conclude that the proposed methodology is effective in segmenting the placenta from 3D US scans in a fully automated manner and is robust to qauality variation of the datasets. © 2024 IEEE.

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

Photocatalytic Degradation of Levonorgestrel by Sprayed ZnO Thin Films

Photocatalytic Degradation of Levonorgestrel by Sprayed ZnO ...

引用

international conference on electrical engineering, computing science and automatic control (CCE)

作者： Israel Iván Lara Garcilazo Arturo Maldonado Álvarez Venkata Krishna Karthik Department of Nanotechnology Tecnologico de Monterrey López Mateos México Department of Electrical Engineering Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional Mexico City Mexico Department of Mechanics of Advanced Materials 5 Tecnologico de Monterrey López Mateos México

ISBN: (数字)9798350377545

ISBN: (纸本)9798350377552

Pure and Ni doped zinc oxide (ZnO) thin films were deposited by ultrasonic spray pyrolysis. The precursor used for the pure ZnO thin film was previously grinded and the doped film was doped 3 % at. FTIR of both samples confirms the presence of Zn-O stretching vibrational modes that corroborate the presence of ZnO. XRD characterization confirms the presence of wurtzite zinc with a preferential orientation of (002) and (004) for the pure and doped ZnO thin films, respectively. SEM images show similar structures in both samples with mean lengths ~ 305.3 and 229.8 nm for the pure and doped ZnO, respectively. The photocatalytic performance of the samples was tested against a 3 ppm levonorgestrel solution under UV-C light irradiation (254 nm). After 120 min of irradiation, the degradation percentage obtained was 76.7% and 81.3% for the pure and doped ZnO thin films, respectively.

关键词： Degradation Radiation effects X-ray scattering II-VI semiconductor materials Milling Doping Zinc oxide Acoustics Surface treatment Zinc

来源：评论

学校读者我要写书评

暂无评论

Exploration of Optimizing FPGA-based Qubit controller for Experiments on Superconducting Quantum computing Hardware

Exploration of Optimizing FPGA-based Qubit Controller for Ex...

引用

2023 IEEE international conference on Electro Information Technology, eIT 2023

作者： Johnson, Hans Zorzetti, Silvia Saniie, Jafar Research Laboratory Department of Electrical and Computer Engineering ChicagoIL United States Fermi National Accelerator Laboratory BataviaIL60510 United States

ISBN: (纸本)9781665493765

This work explores avenues and target areas for optimizing FPGA-based control hardware for experiments conducted on superconducting quantum computing systems and serves as an introduction to some of the current research at the intersection of classical and quantum computing hardware. With the promise of building larger-scale error-corrected quantum computers based on superconducting qubit architecture, innovations to room-temperature control electronics are needed to bring these quantum realizations to fruition. The QICK (Quantum Instrumentation control Kit) is one leading experimental FPGA-based implementations. However, its integration into other experimental quantum computing architectures, especially those using superconducting radiofrequency (SRF) cavities, is largely unexplored. We identify some key target areas for optimizing control electronics for superconducting qubit architectures and provide some preliminary results to the resolution of a control pulse waveform. With optimizations targeted at 3D superconducting qubit setups, we hope to bring to light some of the requirements in classical computational methodologies to bring out the full potential of this quantum computing architecture, and to convey the excitement of progress in this research. © 2023 IEEE.

关键词： Digital signal processing

来源：评论

学校读者我要写书评

暂无评论

RESEARCH OF FPGA-BASED NEURAL NETWORK ACCELERATORS

RESEARCH OF FPGA-BASED NEURAL NETWORK ACCELERATORS

引用

2024 international conference on electrical engineering and Intelligent control, EEIC 2024

作者： Yang, Anqi Glassgow College University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9781837242672

The rapid advancement of artificial intelligence and machine learning technologies has resulted in an increasing demand for high-performance computing resources. To enhance the execution speed of computational tasks, hardware accelerators are frequently utilized. These accelerators are commonly implemented using Application-Specific Integrated Circuits (ASICs), Graphics Processing Units (GPUs), and Field-Programmable Gate Arrays (FPGAs). In recent years, FPGA-based neural network accelerators have gained significant attention in the research community. The inherent flexibility and programmability of FPGAs offer a robust solution for markedly boosting computational power in intensive tasks. This article delves into the research advancements of FPGA-based neural network accelerators over recent years, providing a thorough analysis of their performance, energy efficiency, and scalability. By examining recently published literature on the subject, the article summarizes the key academic contributions in this area of study. Furthermore, it sheds light on the future development trends and potential research directions within the field of FPGA-based neural network accelerators. This comprehensive review aims to inform and guide ongoing and future research efforts in optimizing these accelerators for more effective and efficient artificial intelligence and machine learning applications. © The Institution of engineering & Technology 2024.

关键词： Program processors

来源：评论

学校读者我要写书评

暂无评论

Research on Torque Pulsation Suppression of Permanent Magnet Synchronous Motor Based on Harmonic Injection

Research on Torque Pulsation Suppression of Permanent Magnet...

引用

2023 IEEE international conference on control, Electronics and Computer Technology, ICCECT 2023

作者： Zhang, Shankun Cui, Baochun Li, Jie Shi, Yun Pan, Ning Han, Yaoguang Shandong University of Science and Technology School of Electrical and Automation Engineering Qingdao China The Staff Department of PLA Beijing China Beijing Automatic Engineering School Beijing China

ISBN: (纸本)9798350399028

Permanent magnet synchronous motor (PMSM) is affected by the nonlinearities of the inverter during operation resulting in harmonics in the motor stator current, which causes the motor to pulsate in torque and cause additional losses. To address this problem, an adaptive harmonic injection algorithm is proposed to suppress the harmonic currents of the motor. First, the mathematical models of the 5th and 7th harmonics of the motor are established respectively. Secondly, the harmonic extraction module uses Kalman filter to extract harmonic currents, and the harmonic suppression module introduces Model Reference Adaptive Parameter Identification (MRAI), which, combined with multi-rotation PI control, constitutes an adaptive harmonic suppression algorithm that effectively avoids the effects of inductance, resistance, and magnetic chain changes on the suppression of harmonics during the motor dynamics. Finally, the effectiveness of the proposed algorithm to suppress torque pulsation is verified by comparing the simulation results before and after adding the algorithm. © 2023 IEEE.

关键词： Harmonic analysis

来源：评论

学校读者我要写书评

暂无评论

IoT-Enabled Secure Energy Management System in Smart Meters with CRFN: A Novel Approach to Billing and Theft Prevention

IoT-Enabled Secure Energy Management System in Smart Meters ...

引用

2024 international conference on System, Computation, Automation and Networking, ICSCAN 2024

作者： Suganya, R. Punitha, S. Subalakshmi, N. Kavitha, K. Jeyakarthic, M. Raak College of Engineering and Technology Department of Computer Science and Engineering Puducherry India D. G. Govt. Arts College for Women Department of Computer Science Tamilnadu Mayiladuthurai India Annamalai University Department of Computer and Information Science Tamilnadu Chidambaram India Annamalai University Department of Electrical & Electronics Engineering Chidambaram India

ISBN: (数字)9798331510022

ISBN: (纸本)9798331510022

In response to the challenges posed by missed electricity bill payments and unauthorized power consumption, this study introduces enhancements to existing smart energy meter systems. The proposed improvements include the integration of advanced security features and automation capabilities, such as refined theft control mechanisms and optimized communication protocols between energy providers and consumers. Leveraging IoT technology, the system enables real-time energy monitoring, automatic billing, and timely payment reminders via SMS. Additionally, innovative theft prevention measures, including automated power disconnection for overdue accounts and theft detection systems, bolster security and reduce losses. The integration of the Convolutive Recurrent Fusion Network (CRFN) algorithm significantly enhances the system's theft detection and prevention capabilities. The CRFN detects anomalies in power consumption that may indicate theft, such as sudden spikes or drops in usage, through advanced pattern recognition. Upon detecting potential theft, the system can trigger automated responses like alerts or power disconnection, reducing the need for manual intervention. The incorporation of a magnetic reed switch further enhances efficiency by automatically controlling power access for consumers who have not paid their bills by the due date. By addressing these challenges and integrating advancements, the proposed framework aims to create a more efficient, secure, and sustainable energy management solution, ensuring accurate billing, preventing unauthorized usage, and promoting environmental responsibility. © 2024 IEEE.

关键词： Reed relays

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 << < 152 153 154 155 156 157 158 159 160 161 > >>

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：