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

170 篇 会议
62 篇 期刊文献
1 册 图书

馆藏范围

233 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

105 篇 工学
- 67 篇 计算机科学与技术...
- 51 篇 软件工程
- 45 篇 信息与通信工程
- 24 篇 生物工程
- 19 篇 生物医学工程（可授...
- 12 篇 电气工程
- 12 篇 电子科学与技术（可...
- 9 篇 控制科学与工程
- 7 篇 化学工程与技术
- 6 篇 仪器科学与技术
- 5 篇 光学工程
- 4 篇 机械工程
- 4 篇 交通运输工程
- 4 篇 安全科学与工程
- 4 篇 网络空间安全
69 篇 理学
- 34 篇 数学
- 26 篇 生物学
- 18 篇 物理学
- 13 篇 统计学（可授理学、...
- 7 篇 化学
- 6 篇 系统科学
40 篇 管理学
- 24 篇 图书情报与档案管...
- 16 篇 管理科学与工程(可...
- 10 篇 工商管理
22 篇 医学
- 18 篇 临床医学
- 15 篇 基础医学(可授医学...
- 11 篇 药学(可授医学、理...
- 5 篇 公共卫生与预防医...
7 篇 经济学
- 7 篇 应用经济学
7 篇 法学
- 7 篇 社会学
3 篇 农学
2 篇 文学
1 篇 教育学

主题

20 篇 feature extracti...
15 篇 support vector m...
13 篇 deep learning
9 篇 speech
8 篇 education
7 篇 programming prof...
7 篇 neural networks
7 篇 databases
6 篇 intrusion detect...
6 篇 gabor filters
6 篇 long short-term ...
6 篇 image segmentati...
6 篇 electrocardiogra...
6 篇 machine learning
6 篇 estimation
6 篇 training
5 篇 noise reduction
5 篇 task analysis
5 篇 generative adver...
5 篇 computer archite...

机构

31 篇 center for compu...
30 篇 center for compu...
15 篇 center for compu...
8 篇 lakhshya cyber s...
7 篇 center for compu...
6 篇 division of biom...
6 篇 center for excel...
6 篇 amrita vishwa vi...
6 篇 department of el...
5 篇 center for excel...
5 篇 center for compu...
5 篇 wyoming gis cent...
5 篇 center for compu...
4 篇 department of el...
4 篇 center for artif...
4 篇 center for compu...
4 篇 center for compu...
4 篇 amrita vishwa vi...
4 篇 center for compu...
3 篇 department of ph...

作者

49 篇 soman k.p.
30 篇 k.p. soman
15 篇 sowmya v.
13 篇 neethu mohan
12 篇 d. govind
11 篇 k p soman
10 篇 vinayakumar r.
9 篇 sachin kumar s.
9 篇 v sowmya
9 篇 sachin kumar s
8 篇 r vinayakumar
8 篇 prabaharan poorn...
8 篇 pradeep menon
8 篇 kp soman
7 篇 r. ramanathan
7 篇 simran k.
7 篇 shanmugha sundar...
7 篇 soman k p
7 篇 anand kumar m.
6 篇 k. p. soman

语言

232 篇 英文
1 篇 其他

检索条件"机构=Center for Computational Engineering and Networking"

共 233 条记录，以下是221-230 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：

Quality-driven wavelet based PCG signal coding for wireless cardiac patient monitoring 11

Quality-driven wavelet based PCG signal coding for wireless ...

引用

1st International Conference on Wireless Technologies for Humanitarian Relief, ACWR 2011

作者： Sabarimalai Manikandan, M. Soman, K.P. Dandapat, S. Center for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore Campus 641112 India Department of Electrical and Electronics Engineering Indian Institute of Technology Guwahati Assam 781039 India

ISBN: (纸本)9781450310116

In this paper, we present a quality driven PCG signal coding scheme for wireless cardiac patient monitoring applications. The proposed quality driven codec is designed based on the wavelet-based compression method and the wavelet energy based diagnostic distortion (WEDD) measurement criterion. The proposed WEDD measure is the weighted percentage root mean square difference between the wavelet subband coefficients of the original and compressed signals with weights equal to the relative wavelet subband energies of the corresponding subbands. The WEDD measure appears to be a correct representation of the amount of signal distortion at all the subbands, and robust to insignificant errors in some bands. The performance of the proposed method is validated using the PCG signal blocks taken from the qdheart database and CAHM database PCG records which include many different valvular pathologies such as normal sounds, late systolic, ejection click, tricuspid regurgitation, diastolic aortic insufficiency, murmurs, and noises. Results showed that the performance of the WEDD criterion outperforms the PRDw and WWPRD criteria. For WEDD=4%, the maximum compression ratio of 186.07 was achieved for the test signal from the Diastolic Fixed S2 Split II record and the minimum compression ratio of 21.16 is obtained for the signal from the Diastolic Atrial Septal Defect record.

关键词： Patient monitoring

来源：评论

学校读者我要写书评

暂无评论

Audio visual based pronunciation dictionary for Indian languages

Audio visual based pronunciation dictionary for Indian langu...

引用

2010 International Conference on Technology for Education, T4E 2010

作者： Palanisamy, Kathirvel Kumar, Attassry Manoj Chinnappa, Murugesan Manikandan, M Sabarimalai Soman, K.P. Center for Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore India

ISBN: (纸本)9781424473625

The quality of pronunciation of a letter or word is most important for better conversations. We can accurately perceive the contextual information only when the speech sounds are produced clearly. The quality of any speech sound depends on the movements of organs of the human speech-production system. Nowadays, communication disorders are challenging the carrier development of individuals and growth of the nation. In this paper, we present an effective audio-visual based Tamil pronunciation dictionary by incorporating the visual actions of the organs for improving communication skills. © 2010 IEEE.

关键词： Visual languages

来源：评论

学校读者我要写书评

暂无评论

Audio visual based pronunciation dictionary for Indian languages

Audio visual based pronunciation dictionary for Indian langu...

引用

International Workshop on Technology for Education, T4E

作者： Kathirvel Palanisamy Attassry Manoj Kumar Murugesan Chinnappa M Sabarimalai Manikandan K P Soman Center for Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore India

关键词： Dictionaries Natural languages Speech Context Humans Lungs Larynx Computer networks Acoustical engineering USA Councils

来源：评论

学校读者我要写书评

暂无评论

REPRODUCIBILITY OF IMAGE-BASED computational HEMODYNAMICS IN INTRACRANIAL ANEURYSMS: COMPARISON OF CTA AND 3DRA

REPRODUCIBILITY OF IMAGE-BASED COMPUTATIONAL HEMODYNAMICS IN...

引用

IEEE International Symposium on Biomedical Imaging - From Nano to Macro

作者： Geers, A. J. Larrabide, I. Radaelli, A. G. Bogunovic, H. van Andel, H. A. F. Gratama Majoie, C. B. Frangi, A. F. Center for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB) Universitat Pompeu Fabra (UPF) Spain Networking Center on Biomedical Research (CIBER-BBN) Spain Institució Catalana de Recerca i Estudis Avançats (ICREA) Barcelona Spain Dept. of Biomedical Engineering and Physics Dept. of Radiology Academic Medical Center (AMC) University of Amsterdam (UvA) Amsterdam Netherlands

ISBN: (纸本)9781424439317

Hemodynamics play an important role in the pathogenesis of intracranial aneurysms and are believed to provide valuable information to predict aneurysmal rupture. Using image-based vascular models and computational fluid dynamics (CFD) techniques, the inter-aneurysmal hemodynamics can be studied in depth. In this paper, the effect of using different image-modalities is evaluated by investigating 4 middle cerebral arteries bifurcation aneurysms imaged with three-dimensional rotational angiography (3DRA) and computed tomographic angiography (CTA). The presented visualizations show that the main flow characteristics are preserved. However, there are large discrepancies in quantitative measurements.

关键词： intracranial aneurysm computational fluid dynamics 3D rotational angiography CT angiography

来源：评论

学校读者我要写书评

暂无评论

Tamil Font Recognition Using Gabor Filters and Support Vector Machines

Tamil Font Recognition Using Gabor Filters and Support Vecto...

引用

International Conference on Advances in Computing, Control, & Telecommunication Technologies (ACT)

作者： R. Ramanathan S. Ponmathavan L. Thaneshwaran Arun S. Nair N. Valliappan K.P. Soman Department of Electronics & Communication Engineering Amrita Viswavidyapeetham University Coimbatore India Center of Excellence in Computational Engineering and Networking (CEN) Amrita Viswavidyapeetham University Coimbatore India

Tamil Font Recognition is one of the Challenging tasks in Optical Character Recognition and Document Analysis. Most of the existing methods for font recognition make use of local typographical features and connected component analysis. In this paper, Tamil font recognition is done based on global texture analysis. The main objective of this proposal is to employ support vector machines (SVM) in identifying various fonts in Tamil. The feature vectors are extracted by making use of Gabor filters and the proposed SVM is trained using these features. The method is found to give superior performance over neural networks by avoiding local minima points. The SVM model is formulated tested and the results are presented in this paper. It is observed that this method is content independent and the SVM classifier shows an average accuracy of 92.5%.

关键词： Gabor filters Support vector machines Support vector machine classification Character recognition Optical character recognition software Optical filters Text analysis Proposals Feature extraction Neural networks

来源：评论

学校读者我要写书评

暂无评论

A Novel Technique for English Font Recognition Using Support Vector Machines

A Novel Technique for English Font Recognition Using Support...

引用

International Conference on Advances in Recent Technologies in Communication and Computing, ARTCom

作者： R. Ramanathan K.P. Soman L. Thaneshwaran V. Viknesh T. Arunkumar P. Yuvaraj Department of Electronics & Communication Engineering Amrita Viswavidyapeetham University Coimbatore India Center for Excellence in Computational Engineering and Networking (CEN) Amrita Viswavidyapeetham University Coimbatore India

Font Recognition is one of the Challenging tasks in Optical Character Recognition. Most of the existing methods for font recognition make use of local typographical features and connected component analysis. In this paper, English font recognition is done based on global texture analysis. The main objective of this proposal is to employ support vector machines (SVM) in identifying various fonts. The feature vectors are extracted by making use of Gabor filters and the proposed SVM is trained using these features. The method is found to give superior performance over neural networks by avoiding local minima points. The SVM model is formulated tested and the results are presented in this paper. It is observed that this method is content independent and the SVM classifier shows an average accuracy of 93.54%.

关键词： Support vector machines Support vector machine classification Character recognition Optical character recognition software Optical filters Proposals Feature extraction Gabor filters Neural networks Testing

来源：评论

学校读者我要写书评

暂无评论

Generalised and Channel Independent SVM Based Robust Decoders for Wireless Applications

Generalised and Channel Independent SVM Based Robust Decoder...

引用

International Conference on Advances in Recent Technologies in Communication and Computing, ARTCom

作者： R. Ramanathan K.P. Soman N. Valliappan S. Pon Mathavan M. Gayathri R. Priya Department of Electronics & Communication Engineering Amrita Viswavidyapeetham University Coimbatore India Center for Excellence in Computational Engineering and Networking (CEN) Amrita Viswavidyapeetham University Coimbatore India

Emerging applications in wireless communications and software defined radio require robust and generalized decoders with a very good efficiency. This paper aims at introducing a novel and powerful method of implementing a decoder using support vector machines (SVM) to exhibit good performance irrespective of the channel model. The method proposed also ensures a generalization in the design of decoder, which can be easily adaptable for any type of coding technique used. In addition, this method overcomes the demerits of the traditional decoders like Viterbi and other decoders using neural networks. The error correction codes like Hamming and convolutional codes are considered for experimentation. Using SVM, which is a class of machine learning algorithm, this process is viewed as a multi-class classification problem and error correction is achieved in a simpler way. An extensive analysis with regard to the effect of channel and modulation techniques is also made and presented. The proposed SVM model is sufficiently cross validated and found to be an effective replacement for the existing counterparts.

关键词： Support vector machines Robustness Decoding Application software Support vector machine classification Wireless communication Software radio Viterbi algorithm Neural networks Error correction codes

来源：评论

学校读者我要写书评

暂无评论

Improved Technique for the Construction of Parametric M-Band Wavelets

Improved Technique for the Construction of Parametric M-Band...

引用

International Conference on Advances in Recent Technologies in Communication and Computing, ARTCom

作者： R. Ramanathan K.P. Soman Department of Electronics & Communication Engineering Amrita Viswavidyapeetham University Coimbatore India Center for Excellence in Computational Engineering and Networking (CEN) Amrita Viswavidyapeetham University Coimbatore India

Demanding applications of wavelets in OFDM modulation, watermarking, cognitive radio and wireless networks has created an immense interest amongst the researchers to work on the design of good wavelet system. Parametric and M-band wavelets draw a special attention in this category. A commensurate procedure for constructing a superior M-band parametric wavelet system is proposed in this paper. The idea of modulation matrix decomposition and the relation with corresponding polyphase matrix and its factorization is exploited to possible extent to make the design process plain and easy. The appropriate polynomial matrix is put in place to extend the filter design to any required length. The simple property of the Kroneckor product of two matrices is contemplated to achieve M-band design. This paper ponders on the above-mentioned factors and accomplishes the task of designing an M-band parametric wavelet, which is complete in itself. Few examples are used to substantiate the proposed method.

关键词： Matrix decomposition Finite impulse response filter Wavelet analysis Frequency Computer networks Design engineering Electronic mail Signal processing Bandwidth Communications technology

来源：评论

学校读者我要写书评

暂无评论

A Support Vector Machines Approach for Efficient Facial Expression Recognition

A Support Vector Machines Approach for Efficient Facial Expr...

引用

International Conference on Advances in Recent Technologies in Communication and Computing, ARTCom

作者： R. Ramanathan K.P. Soman Arun. S. Nair V. Vidhya Sagar N. Sriram Department of Electronics & Communication Engineering Amrita Viswavidyapeetham University Coimbatore India Center for Excellence in Computational Engineering and Networking (CEN) Amrita Viswavidyapeetham University Coimbatore India

Current scenario in computer vision demands an efficient and robust technique for facial expression recognition. There is also a need for a generalized technique that can even be used for content based image retrieval and analysis. This paper introduces a novel methodology of facial expression recognition using Support Vector Machines. An efficient model is trained and developed using the necessary features extracted by employing 2D Gabor filters. Practically, six different methods for handling the feature vectors are discussed and extensively analyzed in this paper. The developed model is tested and cross validated and the detailed results are presented. It is observed that the proposed method offers a consistent and good accuracy (83.3%) for all the six basic expressions considered. In addition, the implementation complexity is reduced by minimizing the number of support vectors, unlike the traditional counterparts. The proposed method shall definitely turn out to be an effective alternative for the existing methods.

关键词： Support vector machines Face recognition Computer vision Robustness Image retrieval Content based retrieval Image analysis Feature extraction Gabor filters Testing

来源：评论

学校读者我要写书评

暂无评论

Investigation and Development of Methods to Solve Multi-Class Classification Problems

Investigation and Development of Methods to Solve Multi-Clas...

引用

International Conference on Advances in Recent Technologies in Communication and Computing, ARTCom

作者： R. Ramanathan K.P. Soman P.A. Rohini G. Dharshana Department of Electronics & Communication Engineering Amrita Viswavidyapeetham University Coimbatore India Center for Excellence in Computational Engineering and Networking (CEN) Amrita Viswavidyapeetham University Coimbatore India

Most of the classification problems frequently encounter a multi class predicament and offers a good scope for research. This paper has a comprehensive approach to the available multi-class technique using Artificial Neural Networks and then introduces a new algorithm to overcome the demerits of the former. In addition, a new algorithm combining ANN and chameleon clustering is suggested and validated. An SVM model for the above is also proposed and sufficiently tested with a typical example i.e. Image Segmentation. Also, the permutation effects prevailing in Half -against-Half multi class algorithm of SVM is efficiently tackled by developing an algorithm using ldquocircular shift strategyrdquo and employing the same. The use of clustering methods with SVM to improve its efficiency is also discussed. All the above mentioned models are extensively analyzed and the results are presented. It is found that the proposed method is an effective alternative for existing methods and offers consistent performance.

关键词： Image segmentation Clustering algorithms Artificial neural networks Neural networks Support vector machines Bifurcation Computer networks Electronic mail Image analysis Feeds

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24页 << < 15 16 17 18 19 20 21 22 23 24 > >>

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：