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

239 篇 会议
8 册 图书
2 篇 期刊文献

馆藏范围

249 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

168 篇 工学
- 132 篇 计算机科学与技术...
- 67 篇 软件工程
- 37 篇 电气工程
- 29 篇 信息与通信工程
- 22 篇 电子科学与技术（可...
- 19 篇 光学工程
- 16 篇 控制科学与工程
- 13 篇 生物医学工程（可授...
- 11 篇 生物工程
- 9 篇 交通运输工程
- 6 篇 机械工程
- 6 篇 仪器科学与技术
- 4 篇 动力工程及工程热...
- 3 篇 力学（可授工学、理...
- 3 篇 建筑学
- 3 篇 土木工程
69 篇 理学
- 35 篇 物理学
- 34 篇 数学
- 11 篇 生物学
- 8 篇 统计学（可授理学、...
- 7 篇 系统科学
- 3 篇 化学
24 篇 管理学
- 18 篇 管理科学与工程(可...
- 8 篇 图书情报与档案管...
- 5 篇 工商管理
17 篇 医学
- 16 篇 临床医学
- 10 篇 基础医学(可授医学...
- 5 篇 药学(可授医学、理...
- 4 篇 公共卫生与预防医...
5 篇 法学
- 3 篇 社会学
2 篇 经济学
1 篇 教育学
1 篇 文学
1 篇 农学

主题

29 篇 image processing
16 篇 image segmentati...
16 篇 signal processin...
15 篇 field programmab...
14 篇 image edge detec...
13 篇 graphics process...
13 篇 cameras
13 篇 feature extracti...
11 篇 estimation
10 篇 object detection
9 篇 real-time system...
9 篇 clustering algor...
8 篇 modulation
8 篇 algorithm design...
8 篇 ofdm
8 篇 clocks
8 篇 image analysis
8 篇 filtration
7 篇 artificial intel...
6 篇 computer communi...

机构

6 篇 college of compu...
5 篇 hubei province k...
5 篇 image processing...
3 篇 university of wa...
3 篇 iwate prefectura...
3 篇 tallinn universi...
3 篇 nice sophia anti...
3 篇 cardiff universi...
3 篇 department of co...
3 篇 advanced institu...
3 篇 cyprus universit...
3 篇 school of cyber ...
3 篇 department of co...
3 篇 university of yo...
3 篇 bina nusantara u...
2 篇 digital media te...
2 篇 moscow state uni...
2 篇 school of electr...
2 篇 stmicroelect zer...
2 篇 cuny college of ...

作者

4 篇 zhang tao
4 篇 wang yonghao
4 篇 hu wei
3 篇 panayiotis zaphi...
3 篇 li peng
3 篇 zelensky a.
3 篇 kupriyanov a.v.
3 篇 liu qin
3 篇 tzung-pei hong
3 篇 david lamas
3 篇 ngoc thanh nguye...
3 篇 yannis manolopou...
3 篇 agaian s.
3 篇 krystian wojtkie...
3 篇 hamido fujita
3 篇 lennart nacke
3 篇 helen petrie
3 篇 ford lumban gaol
3 篇 marco winckler
3 篇 voronin v.

语言

246 篇 英文
2 篇 土耳其文
1 篇 其他

检索条件"任意字段=17th Image Processing: Algorithms and Systems Conference, IPAS 2019"

共 249 条记录，以下是141-150 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：

Deep learning-based image reconstruction for multi-aperture diffractive lens 5

Deep learning-based image reconstruction for multi-aperture ...

引用

5th International conference on Information Technology and Nanotechnology, ITNT 2019

作者： Nikonorov, A.V. Skidanov, R.V. Evdokimova, V.V. Petrov, M.V. Alekseyev, A.P. Bibikov, S.A. Kazanskiy, N.L. Samara National Research University Moskovskoe Shosse 34A Samara443086 Russia Image Processing Systems Institute of RAS Branch of the FSRC Crystallography and Photonics RAS Molodogvardejskaya street 151 Samara443001 Russia

Multi-aperture imaging systems are one of the modern trends for imaging devices. the paper presents the results of developing a multi-aperture imaging system based on single diffractive lenses and postprocessing pipeline based on deep learning. the pipeline includes two processing steps: color correction using a generative adversarial network and chromatic deblurring by a convolutional neural network. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Imaging systems

来源：评论

学校读者我要写书评

暂无评论

Foveated image processing for Faster Object Detection and Recognition in Embedded systems Using Deep Convolutional Neural Networks 8th

Foveated Image Processing for Faster Object Detection and Re...

引用

8th International conference on Biomimetic and Biohybrid systems

作者： Jaramillo-Avila, Uziel Anderson, Sean R. Univ Sheffield Dept Automat Control & Syst Engn Sheffield S1 3JD S Yorkshire England

ISBN: (纸本)9783030247409;9783030247416

Object detection and recognition algorithms using deep convolutional neural networks (CNNs) tend to be computationally intensive to implement. this presents a particular challenge for embedded systems, such as mobile robots, where the computational resources tend to be far less than for workstations. As an alternative to standard, uniformly sampled images, we propose the use of foveated image sampling here to reduce the size of images, which are faster to process in a CNN due to the reduced number of convolution operations. We evaluate object detection and recognition on the Microsoft COCO database, using foveated image sampling at different image sizes, ranging from 416x416 to 96x96 pixels, on an embedded GPU - an NVIDIA Jetson TX2 with 256 CUDA cores. the results show that it is possible to achieve a 4x speed-up in frame rates, from 3.59 FPS to 15.24 FPS, using 416 x 416 and 128 x 128 pixel images respectively. For foveated sampling, this image size reduction led to just a small decrease in recall performance in the foveal region, to 92.0% of the baseline performance with full-sized images, compared to a significant decrease to 50.1% of baseline recall performance in uniformly sampled images, demonstrating the advantage of foveated sampling.

关键词： Pixels

来源：评论

学校读者我要写书评

暂无评论

Identifying an Emotional State from Body Movements Using Genetic-Based algorithms 17th

Identifying an Emotional State from Body Movements Using Gen...

引用

17th International conference on Artificial Intelligence and Soft Computing (ICAISC)

作者： Maret, Yann Oberson, Daniel Gavrilova, Marina Univ Calgary Calgary AB Canada Sch Engn & Architecture Fribourg Fribourg Switzerland

ISBN: (纸本)9783319912530;9783319912523

Emotions may not only be perceived by humans, but could also be identified and recognized by a machine. Emotion recognition through pattern analysis can be used in expert systems, lie detectors, medical emergencies, as well as during rescue operations to quickly identify people in distress. this paper describes a system capable of recognizing emotions based on the arm movement. Features extracted from 3D skeleton using Kinect sensor are classified by five commonly used machine learning techniques: K nearest neighbors, SVM, Decision tree, Neural Network and Naive Bayes. A genetic algorithm is then invoked to find the best system parameters to achieve the higher recognition rate. the system achieved 98.96% average accuracy on the experimental dataset.

关键词： Kinect sensor Genetic algorithm Machine learning Biometric Activity recognition image processing Risk assessment

来源：评论

学校读者我要写书评

暂无评论

A REVIEW OF thE APPLICATION OF TECHNOLOGY ACCEPTANCE MODELS IN thE HEALthCARE 18

A REVIEW OF THE APPLICATION OF TECHNOLOGY ACCEPTANCE MODELS ...

引用

18th International conference on Interfaces and Human Computer Interaction 2024, IHCI 2024, the 17th International conference on Game and Entertainment Technologies 2024, GET 2024 and the 18th International conference on Computer Graphics, Visualization, Computer Vision and image processing 2024, CGVCVIP 2024, Part of the 18th Multi conference on Computer Science and Information systems 2024, MCCSIS 2024

作者： Eskandari, Sadjad Valente, Juan P. Department of Languages Information Systems and Software Engineering Universidad Politécnica de Madrid Madrid28660 Spain

ISBN: (纸本)9789898704580

In the present paper, a comprehensive review was performed on the application of technology acceptance models (TAM) in the healthcare sector. the important post-2019 published papers were searched and extracted by the Google Scholar search engine and important papers were taken into consideration for further analysis related to the use of recently utilized models on the final results of TAM based on different case studies. Although TAM has shown to have an outstanding role in predicting clinician acceptance and health information technology (IT) usage, there is still a need for improvement in cases of standardization, further relationship testing, better data reporting, and the exploration of new variables. In this regard, one can prioritize identifying clinicians' specific beliefs about health IT, enhancing the applicability of TAM in healthcare by evaluating contextual factors, barriers, facilitators, and social norms impacting IT adoption. In addition, based on the classification of recent studies into general variables and results, usefulness, ease of use, trust, and privacy concerns were determined as important factors in patients' acceptance of technology in healthcare services, and related recommendations were provided in this work. TAM-based models offer valuable insights into the adoption and acceptance of healthcare technologies and researchers and healthcare organizations should be mindful of their limitations and consider future research directions to enhance their applicability in an ever-evolving healthcare landscape. © 2024 Interfaces and Human Computer Interaction. All Rights Reserved.

关键词： Electronic health record

来源：评论

学校读者我要写书评

暂无评论

A high frequency 3D LiDAR with enhanced measurement density via Papoulis-Gerchberg 17

A high frequency 3D LiDAR with enhanced measurement density ...

引用

17th International conference on Advanced Robotics, ICAR 2015

作者： Özbay, Bengisu Kuzucu, Elvan Gül, Mustafa Öztürk, Dilan Taşci, Muhittin Arisoy, A. Mansur Şirin, Halil Onur Uyanik, Ismail Department of Electrical and Electronics Engineering Bilkent University Ankara06800 Turkey Guidance and Unmanned Systems Division MGEO Sector ASELSAN A. Ş. Ankara06011 Turkey

ISBN: (纸本)9781467375092

Light Detection and Ranging (LiDAR) devices are gaining more importance for obtaining sensory information in mobile robot applications. However, existing solutions in literature yield low frequency outputs with huge measurement delay to obtain 3D range image of the environment. this paper introduces the design and construction of a 3D range sensor based on rotating a 2D LiDAR around its pitch axis. Different than previous approaches, we adjust our scan frequency to 5 Hz to support its application on mobile robot platforms. However, increasing scan frequency drastically reduces the measurement density in 3D range images. therefore, we propose two post-processing algorithms to increase measurement density while keeping the 3D scan frequency at an acceptable level. To this end, we use an extended version of the Papoulis-Gerchberg algorithm to achieve super-resolution on 3D range data by estimating the unmeasured samples in the environment. In addition, we propose a probabilistic obstacle reconstruction algorithm to consider the probabilities of the estimated (virtual) points and to obtain a very fast prediction about the existence and shape of the obstacles. © 2015 IEEE.

关键词： Robot applications

来源：评论

学校读者我要写书评

暂无评论

Adaptive algorithm of conforming image matching 5

Adaptive algorithm of conforming image matching

引用

Data Science Session at the 5th International conference on Information Technology and Nanotechnology, DS-ITNT 2019

作者： Fursov, V.A. Goshin, Ye.V. Pugachev, K.G. Samara National Research University Moskovskoe Shosse 34 Samara443086 Russia Image Processing Systems Institute of RAS Branch of the FSRC Crystallography and Photonics RAS Molodogvardejskaya street 151 Samara443001 Russia

this paper presents an adaptive algorithm of conforming image matching based on the principle of conformity. the algorithm consists of several main stages. At the first stage, we find the corresponding points using a minimum value of conformity as the measure of points’ similarity. We define a conformity function as the sum of all possible combinations of squared differences of pixel intensity values on the fragments that are matched. then, we perform an adaptive procedure of errors correction considering an intensity gradient distribution. An important feature of the algorithm is the finding of error points using a criterion of maximum value of samples’ conformity for every fragment of the disparity map. the results of experiments on the "Teddy" test images are shown. © 2019 CEUR Workshop Proceedings.

关键词： Adaptive algorithms

来源：评论

学校读者我要写书评

暂无评论

A Design Methodology for Hardware Acceleration of Adaptive Filter algorithms in image processing

A Design Methodology for Hardware Acceleration of Adaptive F...

引用

International conference on Application Specific systems (ASAP), Architectures and Processors

作者： Hritam Dutta Frank Hannig Jurgen Teich Benno Heigl Heinz Hornegger Department of Computer Science 12 University of Erlangen Nuremberg Nuremberg Germany Medical Solutions AX Siemens AG Communications Forchheim Germany

Massively parallel processor array architectures can be used as hardware accelerators for a plenty of dataflow dominant applications. Bilateral filtering is an example of a state-of-the-art algorithm in medical imaging, which falls in the class of 2D adaptive filter algorithms. In this paper, we propose a semi-automatic mapping methodology for the generation of hardware accelerators for such a generic class of adaptive filtering applications in image processing. the final architecture deliver similar synthesis results as a hand-tuned design.

关键词： Design methodology Hardware Acceleration Adaptive filters image processing Signal processing algorithms Biomedical imaging Field programmable gate arrays Medical diagnostic imaging Application software

来源：评论

学校读者我要写书评

暂无评论

Fractional Contrast Stretching for image Enhancement of Aerial and Satellite images 18

Fractional Contrast Stretching for Image Enhancement of Aeri...

引用

18th image processing: algorithms and systems conference, ipas 2020

作者： Trongtirakul, thaweesak Chiracharit, Werapon Imberman, Susan Agaian, Sos Department of Electronic and Telecommunication Faculty of Engineering King Mongkut’s University of Technology Thonburi 126 Pracha Uthit Rd Bang Mot Thung Khru Bangkok10140 Thailand Department of Computer Science College of Staten Island City University of New York 2800 Victory Blvd. Staten IslandNY10314 United States Department of Computer Science City University of New York New York CityNY United States

Aerial and satellite photographs suffer from uncontrollable weather conditions. Frequently, illumination of the same region can be totally different. this is usually due to shadowing self-obstruction or light reflection. Existing image enhancement methods fail to improve hidden details and local contrast at the same visualization level. they are not developed to enhance through local dark or light regions simultaneously. Also, the current aerial and satellite image enhancement methods have several limitations. For instance, these include intensity saturation, non-uniform brightness, halo effect, blur edges, and so on. this article introduces a fractional contrast stretching concept for aerial and satellite image enhancement based on a novel automated non-uniform luminance normalization that is not provided by the user as input parameters. the introduced approach contains several new techniques: (i) no reference non-linearly fractional contrast stretching with automatic non-uniform luminance normalization and (ii) non-linearly local contrast stretching for spatial details and edge sharpening. the proposed algorithm was tested on the orthorectified aerial photograph database with a pixel resolution of 1 meter or finer from across the United States during 2000–2016. the simulation results illustrate the efficiency of the proposed algorithm and its advantages for cutting-edge aerial and satellite image enhancement, resulting in visualization quality. c Society for Imaging Science and Technology 2019

关键词： Antennas

来源：评论

学校读者我要写书评

暂无评论

Optimal Performance Prediction of ADAS algorithms on Embedded Parallel Architectures

Optimal Performance Prediction of ADAS Algorithms on Embedde...

引用

IEEE International conference on High Performance Computing and Communications (HPCC)

作者： Romain Saussard Boubker Bouzid Marius Vasiliu Roger Reynaud Renault S.A.S Guyancourt France Instutut d'Electronique Fondamentale Université Paris Sud Orsay France

ADAS (Advanced Driver Assistance systems) algorithms increasingly use heavy image processing operations. To embed this type of algorithms, semiconductor companies offer many heterogeneous architectures. these SoCs (System on Chip) are composed of different processing units, with different capabilities, and often with massively parallel computing unit. Due to the complexity of these SoCs, predicting if a given algorithm can be executed in real time on a given architecture is not trivial. In fact it is not a simple task for automotive industry actors to choose the most suited heterogeneous SoC for a given application. Moreover, embedding complex algorithms on these systems remains a difficult task due to heterogeneity, it is not easy to decide how to allocate parts of a given algorithm on the different computing units of a given SoC. In order to help automotive industry in embedding algorithms on heterogeneous architectures, we propose a novel approach to predict performances of image processing algorithms applicable on different types of computing units. Our methodology is able to predict a more or less wide interval of execution time with a degree of confidence using only high level description of algorithms, and a few characteristics of computing units.

关键词： Kernel Computer architecture image processing Graphics processing units Prediction algorithms Parallel processing Computational modeling

来源：评论

学校读者我要写书评

暂无评论

the study of elastic streaming processing of multidimensional optical signals in a distributed computing environment

The study of elastic streaming processing of multidimensiona...

引用

17th International Scientific and Technical conference on Optical Technologies for Telecommuncations

作者： Popov, Sergey B. Protsenko, Vladimir, I RAS Image Proc Syst Inst Branch FSRC Crystallog & Photon 151 Molodogvardeyskaya St Samara 443001 Russia Samara Natl Res Univ 34 Moskovskoye Shosse Samara 443086 Russia

ISBN: (纸本)9781510638402;9781510638396

Current trends in increasing the intelligence level of software systems for analyzing data flows under the constraints of processing time require the study of new technologies that take advantage of a distributed computing environment. In this paper, we implement a technology for distributed streaming processing of multidimensional optical signals based on the Apache Flink framework. the technology is studied on the task of transport video surveillance tracking unique objects captured by a system of geographically dispersed video cameras. We study the ability of proposed solution scale the processing depending on the amount of resources in the cloud, the quantity and quality of optical signals. the characteristics of processing processes of a set of frames of varying complexity on a computing cluster are investigated. NVIDIA AI City Challenge is used as test data sets.

关键词： distributed streaming processing computing cluster cloud computing elasticity processing Apache Flink framework video surveillance tracking object detection

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25页 << < 11 12 13 14 15 16 17 18 19 20 > >>

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：