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

2,750 篇 会议
173 篇 期刊文献
19 册 图书

馆藏范围

2,942 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,748 篇 工学
- 1,176 篇 计算机科学与技术...
- 755 篇 电气工程
- 441 篇 软件工程
- 338 篇 信息与通信工程
- 233 篇 控制科学与工程
- 221 篇 生物医学工程（可授...
- 128 篇 光学工程
- 109 篇 仪器科学与技术
- 102 篇 电子科学与技术（可...
- 76 篇 机械工程
- 60 篇 生物工程
- 33 篇 测绘科学与技术
- 27 篇 材料科学与工程（可...
- 24 篇 交通运输工程
- 22 篇 化学工程与技术
- 18 篇 安全科学与工程
- 14 篇 动力工程及工程热...
468 篇 理学
- 215 篇 数学
- 180 篇 物理学
- 85 篇 生物学
- 59 篇 统计学（可授理学、...
- 53 篇 系统科学
- 27 篇 地球物理学
- 19 篇 化学
400 篇 医学
- 267 篇 临床医学
- 124 篇 特种医学
- 45 篇 基础医学(可授医学...
- 25 篇 药学(可授医学、理...
188 篇 管理学
- 147 篇 管理科学与工程(可...
- 48 篇 图书情报与档案管...
14 篇 法学
13 篇 军事学
11 篇 农学
10 篇 艺术学
4 篇 经济学
2 篇 教育学

主题

307 篇 computational mo...
262 篇 image processing
247 篇 signal processin...
226 篇 image segmentati...
211 篇 signal processin...
197 篇 feature extracti...
175 篇 image reconstruc...
136 篇 computational in...
128 篇 image coding
124 篇 deep learning
118 篇 artificial intel...
113 篇 training
88 篇 computational ef...
88 篇 image edge detec...
83 篇 computational co...
83 篇 visualization
81 篇 neural networks
80 篇 computer vision
79 篇 accuracy
76 篇 image analysis

机构

14 篇 signal and image...
11 篇 obuda univ john ...
7 篇 john von neumann...
6 篇 department of co...
5 篇 shanghai jiao to...
5 篇 nanyang technol ...
5 篇 univ chinese aca...
4 篇 centre for multi...
4 篇 univ chinese aca...
4 篇 xidian univ sch ...
4 篇 xidian univ natl...
4 篇 tsinghua univ de...
4 篇 huazhong univ sc...
4 篇 obuda university...
4 篇 wuhan univ techn...
4 篇 keio univ dept e...
4 篇 obuda univ docto...
4 篇 univ memphis dep...
4 篇 department of el...
3 篇 department of el...

作者

9 篇 chen yen-wei
6 篇 gabbouj moncef
6 篇 mendel jerry m.
6 篇 kozlovszky miklo...
6 篇 tefas anastasios
6 篇 egiazarian karen
6 篇 richard m. leahy
5 篇 pitas ioannis
5 篇 hamid r. tizhoos...
5 篇 fang liu
5 篇 zhaokui li
4 篇 xiangbin shi
4 篇 molnar bela
4 篇 r.m. leahy
4 篇 li xin
4 篇 tao yang
4 篇 yuan xin
4 篇 jerry m. mendel
4 篇 miklos kozlovszk...
4 篇 loncaric sven

语言

2,920 篇 英文
13 篇 其他
9 篇 中文

检索条件"任意字段=IEEE Symposium on Computational Intelligence in Image and Signal Processing"

共 2942 条记录，以下是871-880 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：

CMR - computational intelligence and signal and image processing

CMR - Computational Intelligence and Signal and Image Proces...

引用

Annual Conference of Industrial Electronics Society

Start of the above-titled section of the conference proceedings record.

关键词：

来源：评论

学校读者我要写书评

暂无评论

AGV Navigation Based on AprilTags2 Auxiliary Positioning 12

AGV Navigation Based on AprilTags2 Auxiliary Positioning

引用

12th International Congress on image and signal processing, BioMedical Engineering and Informatics, CISP-BMEI 2019

作者： Wang, Yunyun Liu, Shaojin Wang, Lianming Huang, Jipeng Institute of computational intelligence Northeast Normal University Changchun Jilin130024 China School of Electrical and Computer Engineering Purdue University West Lafayette United States School of Ocean Science and Technology Hainan Tropical Ocean University Hainan Sanya572022 China

ISBN: (纸本)9781728148526

Aiming at the problems of poor flexibility, complicated path maintenance and poor positioning performance in the current guidance technology of AGV, this paper designs and implements a new navigation system of automated guided vehicle (AGV) based on AprilTags2 auxiliary positioning. The system uses the Robot Operating System (ROS) as a platform to develop AGV navigation functions. The navigation system comprises two parts: the hardware and software layers. Firstly, hardware selection is performed after considering the actual requirements, performance, cost, and other factors in the hardware layer. Simultaneously, the AGV chassis and single-steering wheel walking mechanism are built to provide a stable and flexible operating platform for the software layer. Secondly, the software layer design includes two parts, namely the ROS navigation planning end and AprilTags2 detection. The ROS planning navigation end performs the design of four functional modules (i.e., AGV map construction, autonomous positioning, path planning, and path tracking), while the AprilTags2 detection part obtains the visual positioning pose of AGV by setting the AprilTags2 on each site and using the Kinect1 camera to detect. A more accurate AGV pose can be obtained by merging the former pose with the kinematic estimated pose. Finally, the two groups of positioning errors of the system before and after adding the AprilTags2 auxiliary positioning are tested and compared. The experimental results show that the navigation accuracy of the proposed system with AprilTags2 auxiliary positioning is significantly improved. © 2019 ieee.

关键词： Robot Operating System

来源：评论

学校读者我要写书评

暂无评论

Estimating Peak Velocity Profiles from Doppler Echocardiography using Digital image processing

Estimating Peak Velocity Profiles from Doppler Echocardiogra...

引用

ieee signal processing in Medicine and Biology symposium (SPMB)

作者： Taebi, Amirtaha Sandler, Richard H. Kakavand, Bahram Mansy, Hansen A. Univ Calif Davis Dept Biomed Engn Davis CA 95616 USA Univ Cent Florida Biomed Acoust Res Lab Orlando FL 32816 USA Univ Cent Florida Coll Med Orlando FL 32827 USA Nemours Childrens Hosp Dept Cardiovasc Serv Orlando FL 32827 USA

ISBN: (纸本)9781538659168

This study aims at developing a digital signal processing algorithm to extract positive and negative peak velocity profiles from Doppler echocardiographic images. These profiles are useful in estimating cardiac time intervals and establishing realistic boundary conditions for computational hemodynamic studies. The proposed image processing algorithm is based on two different thresholding methods. The histograms of image intensity function were used to help threshold values selection so that the algorithm yields velocity profiles properly represent Doppler shift envelopes. One of the thresholding methods tended to provide the lower-limit (i.e. underestimate) of the velocity profile, while the second tended to provide the upper-limit of the velocity profile (i.e., overestimate). The final peak velocity profiles were estimated from the combination of the estimates from both thresholding methods. The peak velocity profiles were then qualitatively compared with the results of the standard edge detection methods such as Canny and Prewitt approximations. The proposed automated approach might be helpful for objective estimation of peak velocities and cardiac time intervals.

关键词： Doppler echocardiography Doppler shift peak velocity profile thresholding image processing Canny approximation Prewitt approximation

来源：评论

学校读者我要写书评

暂无评论

Memory Saving Method for Enhanced Convolution of Deep Neural Network 11

Memory Saving Method for Enhanced Convolution of Deep Neural...

引用

11th International symposium on computational intelligence and Design (ISCID)

作者： Li, Ling Tong, Yuqi Zhang, Hangyu Wan, Dayu Jilin Univ Coll Commun Engn Changchun Jilin Peoples R China Nanjing Univ Coll Comp Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781538685273

Convolution neural network (CNN) is a typical feedforward neural network, which gains extraordinary performance in image recognition. Features are extracted by convolution layers automatically for classification, but high in computation complexity. As an enhanced convolution algorithm, image to column (im2col) method accelerates the calculation with redundant memory overhead. In this work, we present Memory Saving Method (MSM) to improve convolution efficiency with lower memory consumption by elements rearrangement of input blocks. Block calculation can be executed both in serial and in parallel for their independence. It is demonstrated by the experimental results that MSM achieves the same acceleration effect yet sparing memory space for approximately two orders of magnitude with no drop of accuracy.

关键词： CNN neural network block calculation memory saving method convolution acceleration image processing

来源：评论

学校读者我要写书评

暂无评论

Local, Mid-Level and Convolutional Features Fusion Using Multiple Kernel Learning for image Classification

Local, Mid-Level and Convolutional Features Fusion Using Mul...

引用

ieee International Conference on Information Communication and signal processing (ICICSP)

作者： Yao Lu Hui Zhang Bojun Xie Key Lab. of Machine Learning and Computational Intelligence College of Mathematics and Information Science Hebei University Baoding China

Feature representation and feature fusion are important factors in image classification problem. In this paper, the local features, mid-level features and convolutional features are combined using the multiple kernel learning method. Experimental results show that the local features, mid-level features and convolutional features can be fused effectively to improve the classification performance about 4%-6% on several popular benchmarks.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Cone-beam Computed Tomography image Pretreatment and Segmentation 11

Cone-beam Computed Tomography Image Pretreatment and Segment...

引用

11th International symposium on computational intelligence and Design (ISCID)

作者： Zheng, Jia Zhang, Dinghua Huang, Kuidong Sun, Yuanxi Northwestern Polytech Univ Minist Educ Key Lab Contemporary Design & Integrated Mfg Tech Xian Shaanxi Peoples R China

ISBN: (纸本)9781538685273

Segmentation accuracy is critical in CBCT (cone-beam computed tomography) nondestructive detection. And it is influenced by the segmentation accuracy of CBCT serial slice images. However, the noise and artifacts in CBCT images make it hard to segment CBCT images precisely. To increase CBCT image segmentation accuracy, the 3D information in CBCT images should be fully used. We proposed and compared four connection models for CBCT images pretreatment. They can decrease the noise in CBCT images. Moreover, we propose a 3D CBCT image segmentation method based on the accumulated FCM_S. In the experiment, CBCT slice images of a workpiece are segmented by our proposed method and comparing methods. The segmentation results certified the effectiveness of our method.

关键词： CBCT image processing segmentation

来源：评论

学校读者我要写书评

暂无评论

Actived Edge Strength for image Quality Assessment

Actived Edge Strength for Image Quality Assessment

引用

ieee International symposium on Intelligent signal processing and Communication Systems (ISPACS)

作者： Minjuan Gao Xuande Zhang School of Electrical and Control Engineering ShaanXi University of Science and Technology Xi'an China Shoal of Electronic informaiton and Artifical Intelligence ShaanXi University of Science and Technology Xi'an China

These years has witnessed the success of deep learning methods in computer vision. The approximation capabilities of neural networks is partly responsible for these success, and active function is crucial for the approximation capability. Motivated by the success of deep learning, this paper presents an Actived Edge Strength Similarity (AESSIM) based image quality assessment algorithm. Numerical experiments on the public datasets indicates that AESSIM is quite competitive in assessing performance.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Deep Learning Utilization in Beamforming Enhancement for Medical Ultrasound

Deep Learning Utilization in Beamforming Enhancement for Med...

引用

ieee Annual International Computer Software and Applications Conference (COMPSAC)

作者： Mariam Fouad Yousef Metwally Georg Schmitz Michael Huebner Mohamed A. Abd El Ghany Ruhr University Bochym (RUB) Germany and German University in Cairo (GUC) Egypt German University in Cairo (GUC) Egypt Ruhr University Bochum (RUB) Germany BTU Cottbus - Senftenberg Germany German University in Cairo (GUC) Egypt and TU Darmstadt (TUD) Germany

ISBN: (数字)9781728173030

ISBN: (纸本)9781728173047

Ultrasound imaging offers a low cost, noninvasive and portable system, which allowed it to be an invaluable tool for medical imaging. However, the quality of the reconstructed images depends significantly on the beamforming technique utilized. Although advanced data-adaptive methods of reconstruction such as Minimum Variance (MV) beamforming can recover image quality much higher than conventional techniques, their implementation also entails a heavy computational burden. This dichotomy hinders the ultrasound imaging use as a standalone device in some applications such as early breast cancer detection. Deep neural networks (DNNs) have shown a huge potential when applied to many Artificial intelligence (AI) research fields. In this work, the use of Deep learning in improving the quality of the beamforming technique Delay and Sum (DAS) normally used for ultrasound (US) images reconstruction is explored. Three different architectures are implemented: Convolutional AutoEncoder (CAE), Fully Connected network (FC) and U-Net-like architecture. They were trained on datasets simulated using field II. The dataset consists of input-output pairs where the input is Noisy DAS beamformed scan lines and the output is MV beamformed non-noisy scan lines. The networks show a great ability in predicting the beamformed signals along with significantly reducing noise in the reconstructed images. Additionally, the proposed networks improve other image characteristics such as scatterer size and position along with reducing tail characteristic normally found in DAS beamformed ultrasound images. US images constructed by the networks achieved better quality metrics that surpass conventional DAS beamformed images. The CAE, U-net-like architecture, and FC enhanced the signal to noise ratio (SNR) compared to DAS by 218%, 165% and 136% respectively. Additionally, the networks showed higher Contrast to Noise Ratio (CNR) and Contrast Ratio (CR) metrics than DAS beamformed signals. Finally, the propo

关键词： Array signal processing Ultrasonic imaging image reconstruction Delays Imaging Computer architecture Covariance matrices

来源：评论

学校读者我要写书评

暂无评论

Expanding an HPC Cluster to Support the computational Demands of Digital Pathology

Expanding an HPC Cluster to Support the Computational Demand...

引用

ieee signal processing in Medicine and Biology symposium (SPMB)

作者： Campbell, C. Mecca, N. Duong, T. Obeid, I. Picone, J. Temple Univ Neural Engn Data Consortium Philadelphia PA 19122 USA

ISBN: (纸本)9781538659168

The goal of this work was to design a low-cost computing facility that can support the development of an open source digital pathology corpus containing 1M images [1]. A single image from a clinical-grade digital pathology scanner can range in size from hundreds of megabytes to five gigabytes. A 1M image database requires over a petabyte (PB) of disk space. To do meaningful work in this problem space requires a significant allocation of computing resources. The improvements and expansions to our HPC (high-performance computing) cluster, known as Neuronix [2], required to support working with digital pathology fall into two broad categories: computation and storage. To handle the increased computational burden and increase job throughput, we are using Slurm [3] as our scheduler and resource manager. For storage, we have designed and implemented a multi-layer filesystem architecture to distribute a filesystem across multiple machines. These enhancements, which are entirely based on open source software, have extended the capabilities of our cluster and increased its cost-effectiveness.

关键词： Pathology Microsoft Windows Random access memory Linux Scheduling Processor scheduling Resource management

来源：评论

学校读者我要写书评

暂无评论

Accelerometer-based Hand Gesture Recognition for Human-Robot Interaction

Accelerometer-based Hand Gesture Recognition for Human-Robot...

引用

ieee symposium Series on computational intelligence (SSCI)

作者： Dario Ortega Anderez Luis Pedro Dos Santos Ahmad Lotfi Salisu Wada Yahaya Nottingham Trent University School of Science and Technology Clifton Lane United Kingdom Faculty of Science and Engineering Sorbonne University Paris France

ISBN: (数字)9781728124858

ISBN: (纸本)9781728124865

This paper presents a computational solution towards human-robot interaction using a wrist-mounted tri-axial accelerometer. This is tackled as a three-fold gesture recognition problem with a gesture set including six different gestures, namely right, front, left, back, up and circle. Given the sparsity of gestures, an adaptive segmentation technique is employed as a means of spotting potential segments of interest within the signal. Relevant features are a posteriori calculated from the spotted segments. Ultimately, a range of five state-of-the-art classifiers are employed for the classification of the gestures. The results achieved, with an average classification accuracy of 95.85%, show a great contribution towards modern human-robot interaction technologies.

关键词： image classification Accelerometers Gesture recognition Human-robot interaction Feature extraction image segmentation

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295页 << < 84 85 86 87 88 89 90 91 92 93 > >>

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：