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

3,923 篇 会议
36 篇 期刊文献
25 册 图书

馆藏范围

3,984 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,485 篇 工学
- 1,384 篇 计算机科学与技术...
- 1,065 篇 控制科学与工程
- 914 篇 软件工程
- 747 篇 电气工程
- 356 篇 信息与通信工程
- 309 篇 电子科学与技术（可...
- 282 篇 机械工程
- 185 篇 动力工程及工程热...
- 175 篇 生物工程
- 172 篇 生物医学工程（可授...
- 151 篇 仪器科学与技术
- 110 篇 交通运输工程
- 96 篇 力学（可授工学、理...
- 88 篇 化学工程与技术
- 87 篇 光学工程
- 85 篇 材料科学与工程（可...
- 78 篇 安全科学与工程
- 71 篇 土木工程
1,067 篇 理学
- 600 篇 数学
- 288 篇 物理学
- 232 篇 系统科学
- 191 篇 生物学
- 169 篇 统计学（可授理学、...
- 84 篇 化学
414 篇 管理学
- 278 篇 管理科学与工程(可...
- 149 篇 图书情报与档案管...
- 116 篇 工商管理
134 篇 医学
- 116 篇 临床医学
- 114 篇 基础医学(可授医学...
- 87 篇 药学(可授医学、理...
59 篇 法学
49 篇 农学
47 篇 经济学
35 篇 教育学
9 篇 军事学
5 篇 文学
2 篇 艺术学

主题

197 篇 control systems
169 篇 mathematical mod...
109 篇 automatic contro...
90 篇 voltage control
74 篇 sliding mode con...
67 篇 equations
65 篇 switches
63 篇 observers
62 篇 stability analys...
60 篇 computational mo...
60 篇 robustness
58 篇 simulation
52 篇 neural networks
52 篇 trajectory
50 篇 electrical engin...
48 篇 optimization
48 篇 feature extracti...
47 篇 controllers
45 篇 robust control
45 篇 nonlinear system...

机构

52 篇 school of automa...
17 篇 ningbo institute...
15 篇 department of au...
14 篇 college of infor...
13 篇 research institu...
12 篇 ieee
10 篇 department of el...
9 篇 school of mechan...
9 篇 beijing aerospac...
9 篇 departamento de ...
8 篇 school of electr...
8 篇 school of automa...
8 篇 tianmushan labor...
8 篇 state key labora...
8 篇 computer science...
7 篇 cinvestav-ipn de...
7 篇 school of electr...
7 篇 college of mecha...
7 篇 cinvestav-ipn au...
7 篇 automatic contro...

作者

23 篇 yu wen
18 篇 g. silva-navarro
16 篇 loukianov alexan...
13 篇 alexander g. lou...
12 篇 wen yu
11 篇 a. poznyak
10 篇 silva-navarro g.
10 篇 garrido ruben
10 篇 poznyak a.
9 篇 singh bhim
9 篇 jing na
8 篇 li jianqiang
7 篇 sabine mondié
7 篇 li xiaoou
7 篇 sonia mendoza
7 篇 lozano r.
7 篇 martinez-guerra ...
7 篇 r. lozano
7 篇 azhmyakov v.
7 篇 edgar n. sanchez

语言

3,890 篇 英文
71 篇 其他
28 篇 中文
1 篇 法文

检索条件"任意字段=9th International Conference on Electrical Engineering, Computing Science and Automatic Control"

共 3984 条记录，以下是3951-3960 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：

SYNthETIC TO REAL WORLD IMAGE TRANSLATION USING GENERATIVE ADVERSARIAL NETWORKS

SYNTHETIC TO REAL WORLD IMAGE TRANSLATION USING GENERATIVE A...

引用

international conference on computing, Communication and Networking Technologies

作者： Sreedhar Radhakrishnan C. C. Jay Kuo Dept. of Computer Science and Engineering PES University Bangalore India Dept. of Electrical Engineering University of Southern California Los Angeles USA

In this paper we perform synthetic to real world image translation using Cycle Consistent Adversarial Networks and further provide insights as to how the translation can be utilized to build a framework that can solve a plethora of domain adaptation tasks by reducing the same to a supervised problem via image generation and label transfer from a source domain (synthetic images) to a target domain (real world images) thereby eliminating the need for a labeled target domain dataset. We run experiments taking the GTA dataset as the source domain and the Cityscape dataset as the target domain and provide a comprehensive evaluation of the experiments. We also provide analysis and visualization of existing domain adaptation techniques and evaluate their pros and cons. A potential application of the concept is in training of self-driving cars as it is difficult to obtain an extensive labeled dataset for every geographical region.

关键词： Deep Learning Generative Adversarial Networks Computer Vision Domain Adaptation Image Generation

来源：评论

学校读者我要写书评

暂无评论

Non-Parametric and Parametric t-norms Applied in Fuzzy Rule Extraction

Non-Parametric and Parametric t-norms Applied in Fuzzy Rule ...

引用

IEEE international conference on Computational Cybernetics

作者： László Gál Rita Lovassy László T. Kóczy Faculty of Science University of West Hungary Szombathely Hungary Inst. of Microelectronics and Technology Kandó Kálmán Faculty of Electrical Engineering Obuda University Budapest Hungary Dept. of Informatics Faculty of Engineering Sciences Széchenyi István University Gy?r Hungary Dept. of Telecommunications and Media Informatics Budapest University of Technology and Economics Budapest Hungary

ISBN: (纸本)9781479900626

In this paper we propose non-parametric t-norms such as algebraic, trigonometric and Hamacher product, furthermore parametric Hamacher t-norm in Mamdani type inference systems. Various models with trapezoidal shaped fuzzy membership function are applied in order to improve the efficiency of bacterial memetic algorithm in automatic fuzzy rule identification.

关键词： Non-Parametric Rule Extraction

来源：评论

学校读者我要写书评

暂无评论

Research on IoT Application of Power Consumption Information Collection Based on Short Message of BDS

Research on IoT Application of Power Consumption Information...

引用

IEEE international conference on Power and Power and Renewable Energy (ICPRE)

作者： Zhen Zhao Peng Wang Hongtao Zhang Yang Wang Shuai Lu Xiaohua Wu Shuqiang Liu Xiaofei Wu High-tech Branch Sichuan Shuneng Electric Power Co. Ltd Chengdu China School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China Shandong Yuli Information Technology Co. Ltd Jinan China Marketing Department State Grid Xi'an Power Supply Company Xi'an China Safety and Environmental Protection Supervision Department Changqing Oilfield Branch PetroChina Company Limited Chongqing China General Management Office Xi'an Juchuanglong Information Technology Co. Ltd. Xi'an China

ISBN: (数字)9798350377460

ISBN: (纸本)9798350377477

To achieve the construction goal of “full coverage, full collection, and full cost control” of electricity information, addressing the challenges of power data collection and transmission in remote areas is crucial. this paper analyzes the functions and applications of the Beidou Navigation Satellite System (BDS), comparing its advantages with other remote communication methods. It proposes targeted solutions to overcome the difficulties associated with remote communication. the paper details the design of an energy data acquisition and transmission system based on Beidou communication, including a comprehensive overview of the system architecture and protocol format. It also establishes the acquisition terminal transmission system and the master terminal access system, and verifies the system's data acquisition and transmission capabilities. this work provides innovative approaches to resolving various data collection and transmission issues in remote areas.

关键词： Renewable energy sources Satellites Protocols Electricity Data acquisition Systems architecture Data collection Satellite navigation systems Timing Satellite communications

来源：评论

学校读者我要写书评

暂无评论

EEG-Based Hand Motion Pattern Recognition Using Deep Learning Network Algorithms 2020

EEG-Based Hand Motion Pattern Recognition Using Deep Learnin...

引用

Proceedings of the 2020 9th international conference on computing and Pattern Recognition

作者： Yongyu Jiang Christine Chen Xiaodong Zhang Wei Zhou Chaoyang Chen Stephen Lemos Xi'an Jiaotong University Xi'an China Department of Computer Science University of Michigan at Ann Arbor Ann Arbor Michigan USA Ximen University Xiamen China Department of Biomedical Engineering Wayne State University Detroit Michigan USA Orthopedic Surgery and Sports Medicine DMC Detroit MI USA

ISBN: (纸本)9781450387835

EEG signals contain information of limb motion patterns that are difficult to be extracted using conventional methods. the purpose of this study was to determine the feasibility of novel machine learning algorithms in extraction of hand motion intents from EEG. In this paper, 3 hand motion patterns (hand opening, closing, resting) were recognized using the filter bank common spatial pattern (FBCSP) method. the spatial filtering method and the CNN classifier were used to decode and classify the EEG signals. 15 healthy subjects' EEG datasets were used. Results demonstrated that the average correct rate of motion pattern recognition was 83.61%. the performance of these algorithms was validated using off-line computer-controlled robotic hand system, the average accuracy of a subject was 77.32%, and the average time of the system recognition action was 28.4ms. this study demonstrated that hand motion pattern recognition can be extracted from EEG signals and can be utilized by brain computer interface (BCI) to trajectory control a robotic hand motion.

关键词： pattern recognition electroencephalography (eeg) signal processing hand motion convolutional neural network

来源：评论

学校读者我要写书评

暂无评论

Research of CMOS Biosensor IC for Extracellular Electrophysiological Signal Recording and pH value Measuring

Research of CMOS Biosensor IC for Extracellular Electrophysi...

引用

2008 9th international conference on Solid-State and Integrated-Circuit Technology

作者： Dazhong Zhu , Ying Sun*, Zhaoxia Shi Department of Information science and Electronic engineering, Zhejiang University, Hangzhou 310027, P.R. China

In this paper an integrated monolithic mixed signal biosensor circuit for both extracellar Electrophysiological signal recording and extracellular solution pH value measuring is designed and researched based on standard 0.6μm CMOS technology. the extracellular bioelectrical signal recording module is consisted of 4×4 active electrical potential sensor array, analog multiplexer, reference sources, digital control circuits and output amplifier. Each sensor unit is 60μm×60μm in area including a 15μm×15μm sensing electrode. A correlated double sampling circuit is utilized to remove the common-mode noise. the sensor can linearly amplify signals with peak to peak values from 100μV to 10mV. the pH sensor module consists of silicon nitride film as pH sensitive layer and field effect transistor with multi-floating gate (MFGFET) structure. the output of the circuit is proportional to the pH value using constant source-drain voltage and current control scheme. the difference of pH-MFGFET and RE-MFGFET is sent to output which reduces the fixed pattern noise existed in the solution and circuits. the testing result shows the pH sensor has an average sensitivity of 35.8 mV/pH for pH1 to pH13 with linearity better than 5%. A temperature sensor with PTAT (Proportional to absolute temperature) is also integrated with this pH sensor. this biosensor can be used for recording bioelectrical activity of in-vitro electrogenic cells. It also can be used for exploring the relationship between cell membrane potential and its nearby solution pH value and temperature.

关键词： Research of CMOS Biosensor IC for Extracellular Electrophysiological Signal Recording and pH value Measuring

来源：评论

学校读者我要写书评

暂无评论

Error Analysis of UHF Partial Discharge Monitoring System Based on Ensemble Empirical Mode Decomposition

Error Analysis of UHF Partial Discharge Monitoring System Ba...

引用

2017 9th international conference on Modelling, Identification and control (ICMIC 2017)

作者： Xing Liang Meng-Qi Shi Hua Wu Xian-Pei Wang Wei Zhou Quan Wang State Grid Chongqing Electric Power CO.Electric Power Research Institute China Three Gorges University College of Electrical Engineering & New Energy School of Electronic Information Wuhan University China Electric Power Research Institute

the ultra-high frequency(UHF) partial discharge monitoring device which is now used in power grid has the phenomenon of lacking the accuracy of measurement as well as the outcome *** order to improve the metrical precision of UHF partial discharge monitoring system and analyze the features of its error,the analytical method of dynamic measurement system based on Ensemble Empirical Mode Decomposition is provided in this *** mutation or interval exists in the signal component of the original signal,using Empirical Mode Decomposition may lead to modal aliasing ***,the Ensemble Empirical Mode Decomposition overcomes the defect in truncated signal and restrained the modal aliasing phenomenon at a certain *** using simulation,the Ensemble Empirical Mode Decomposition can make the error signal adaptively decompose into several simple signal so it brings us some convenient in research and finally validates the availability of our method.

关键词： UHF partial discharge monitoring system error analysis Ensemble Empirical Mode Decomposition error signal decomposition

来源：评论

学校读者我要写书评

暂无评论

Research of CMOS Biosensor IC for Extracellular Electrophysiological Signal Recording and pH value Measuring

Research of CMOS Biosensor IC for Extracellular Electrophysi...

引用

2008 9th international conference on Solid-State and Integrated-Circuit Technology

作者： Dazhong Zhu Ying Sun Zhaoxia Shi Department of Information Science and Electronic Engineering Zhejiang University

In this paper an integrated monolithic mixed signal biosensor circuit for both extracellar Electrophysiological signal recording and extracellular solution pH value measuring is designed and researched based on standard 0.6μm CMOS *** extracellular bioelectrical signal recording module is consisted of 4×4 active electrical potential sensor array, analog multiplexer,reference sources,digital control circuits and output *** sensor unit is 60μm×60μm in area including a 15μm×15μm sensing electrode.A correlated double sampling circuit is utilized to remove the common-mode *** sensor can linearly amplify signals with peak to peak values from 100μV to *** pH sensor module consists of silicon nitride film as pH sensitive layer and field effect transistor with multi-floating gate(MFGFET) structure. the output of the circuit is proportional to the pH value using constant source-drain voltage and current control *** difference of pH-MFGFET and RE-MFGFET is sent to output which reduces the fixed pattern noise existed in the solution and *** testing result shows the pH sensor has an average sensitivity of 35.8 mV/pH for pH1 to pH13 with linearity better than 5%.A temperature sensor with PTAT (Proportional to absolute temperature) is also integrated with this pH sensor. this biosensor can be used for recording bioelectrical activity of in-vitro electrogenic *** also can be used for exploring the relationship between cell membrane potential and its nearby solution pH value and temperature.

关键词： Research of CMOS Biosensor IC for Extracellular Electrophysiological Signal Recording and pH value Measuring

来源：评论

学校读者我要写书评

暂无评论

Effect Of Nano Aluminum Oxide On the Properties Of Mortars Produced From Ground Granulated Blast Furnace Slag Activated By CaO Combining With Seawater And Sea Sand

Effect Of Nano Aluminum Oxide On The Properties Of Mortars P...

引用

Green Buildings (ATiGB), Applying New Technology in

作者： thanh-Vinh Ngo Duy-Hai Vo Khanh-Dung Tran thi Tan-Khoa Nguyen Vinh-Phuc Doan Nguyen Van Bao Nguyen Department of Civil Engineering The University of Danang University of Technology and Education Danang Vietnam Department of Civil and Construction Engineering National Taiwan University of Science and Technology Taipei Taiwan

ISBN: (数字)9798331505042

ISBN: (纸本)9798331505059

this paper describes the contribution of using Nano Al2O3 to improve some technical properties of mortar produced from ground granulated blast furnace slag (GGBFS) activated by CaO using sea sand and seawater. With a water-tobinder ratio (w/b) of 0.6, five mortar mixes were made, one of which was a control mix that did not include Nano Al2O3, 4 mixes using Nano Al2O3 content of 1, 2, 3, 5% of binder mass. Research results show that increasing the Nano Al 2 O 3 content reduces the fluidity of mortar. At 28 days of age, incoporating 2% Nano Al 2 O 3 resulted in the highest compressive strength, flexural tensile strength, and ultrasonic velocity pulse (UPV). the electrical surface resistivity (ESR) decreased as the ratio of Nano Al2O3 increased at different ages.

关键词： Sea surface Mortar Green buildings Slag Conductivity Blast furnaces Acoustics Aluminum oxide

来源：评论

学校读者我要写书评

暂无评论

Applications of Mobile Machine Learning for Detecting Bio-energy Crops Flowers

Applications of Mobile Machine Learning for Detecting Bio-en...

引用

international conference on Machine Learning and Applications (ICMLA)

作者： Wenjun Zeng Bakhtiar Amen School of Electrical Engineering Electronics and Computer Science University of Liverpool Liverpool United Kingdom Duke University Durham NC USA

ISBN: (纸本)9781665443388

Automated flower detection and control is important to crop production and precision agriculture. Some computer vision methods have been proposed for flower detection, but their performances are not satisfactory on platforms with limited computing ability such as mobile and embedded devices, and thus not suitable for field applications. Herein we demonstrate two de novo approaches that can precisely detect the flowers of two bioenergy crops (potatoes and sweet potatoes) and can distinguish them from similar flowers of relative species (eggplants and Ipomoea triloba) on mobile devices. In this work, a custom dataset containing 495 manually labelled images is constructed for training and testing, and the latest state-of-the-art object detection model, YOLOv4, as well as its lightweight version, YOLOv4-tiny, are selected as the flower detection models. Some other milestone object detection models including YOLOv3, YOLOv3-tiny, SSD and Faster-RCNN are chosen as benchmarks for performance comparison. the comparative experiment results indicate that the retrained YOLOv4 model achieves a considerable high mean average precision (mAP= 91%;) but a slower inference speed (FPS) on a mobile device, while the retrained YOLOv4-tiny has a lower mAP of 87%; but reach a higher FPS of 9 on a mobile device. Two mobile applications are then developed by directly deploying YOLOv4-tiny model on a mobile app and by deploying YOLOv4 on a web API, respectively. the testing experiments indicate that both applications can not only achieve real-time and accurate detection, but also reduce computation burdens on mobile devices.

关键词： Performance evaluation Training Biological system modeling Computational modeling Transfer learning Crops Object detection

来源：评论

学校读者我要写书评

暂无评论

Feature Extraction and Recognition Based on Machine Vision Application in Lotus Picking Robot

Feature Extraction and Recognition Based on Machine Vision A...

引用

the 9th international conference on Computer and computing Technologies in Agriculture (CCTA 2015)

作者： Shuping Tang Dean Zhao Weikuan Jia Yu Chen Wei Ji Chengzhi Ruan School of Electrical and Information Engineering Jiangsu University Key Laboratory of Facility Agriculture Measurement and Control Technology and Equipment of Machinery Industry Jiangsu University

ISBN: (纸本)9783319483566

Recently the picking technology of high value crops has become a new research hot spot, and the image segmentation and recognition are still the key link offruit picking robot. In order to realize the lotus image recognition,this paper proposes a new feature extraction method combined with shape and color, and uses the K-Means clustering algorithm to get lotus recognition *** the feature extraction, the existing pulse coupled neural network segmentation algorithm, combined with morphological operation, is used to achieve nice segmentation image, including lotus, lotus flower, lotus leaf and *** in the feature extraction processing, the chromatic aberration method and the moment invariant algorithm are selected to extract the color and shape features of the segmented images, in which principal component analysis algorithm is selected to reduce the dimension of the color and shape features to achieve principal components of lotus, lotus flower, lotus leaf and stems. In the experiment, K-Means clustering algorithm is used to get lotus recognition model and four clustering centers according to above principal components of training samples about lotus, lotus flower, lotus leaf and stems;then the testing experiment is applied to validate the recognition model. Experimental results shows that the correct recognition rate is 90.57 % about 53 testing samples of lotus,and the average recognition time is 0.0473 s, which further indicates that the feature extraction algorithm is applicable to lotus feature extraction, and K-Means algorithm is simple, reliable and feasible, providing a theoretical basis for positioning and picking of lotus harvest robot.

关键词： Picking robot of lotus Feature extraction Invariant moment Principal component analysis K-Means clustering Feature extraction LOTUS principal components analysis Recognition (Psychology) harvesting robot Color image segmentation Morphological operations K-means algorithm

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399页 << < 390 391 392 393 394 395 396 397 398 399 > >>

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：