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

1,905 篇 会议
22 篇 期刊文献
10 册 图书

馆藏范围

1,937 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,303 篇 工学
- 860 篇 计算机科学与技术...
- 411 篇 软件工程
- 214 篇 机械工程
- 181 篇 控制科学与工程
- 168 篇 信息与通信工程
- 128 篇 电气工程
- 119 篇 仪器科学与技术
- 72 篇 电子科学与技术（可...
- 50 篇 网络空间安全
- 40 篇 生物医学工程（可授...
- 39 篇 生物工程
- 22 篇 交通运输工程
- 20 篇 动力工程及工程热...
- 20 篇 安全科学与工程
- 18 篇 建筑学
- 17 篇 光学工程
- 15 篇 航空宇航科学与技...
275 篇 管理学
- 226 篇 管理科学与工程(可...
- 45 篇 图书情报与档案管...
- 44 篇 工商管理
213 篇 理学
- 111 篇 数学
- 40 篇 物理学
- 40 篇 生物学
- 36 篇 系统科学
- 28 篇 统计学（可授理学、...
53 篇 医学
- 35 篇 基础医学(可授医学...
- 35 篇 临床医学
35 篇 经济学
- 35 篇 应用经济学
20 篇 教育学
- 15 篇 教育学
20 篇 文学
- 14 篇 新闻传播学
16 篇 法学
13 篇 农学
11 篇 艺术学
5 篇 军事学
1 篇 哲学

主题

167 篇 cloud computing
93 篇 informatics
75 篇 computational mo...
53 篇 feature extracti...
47 篇 big data
44 篇 conferences
38 篇 data mining
37 篇 semantics
33 篇 data models
29 篇 training
28 篇 computer archite...
28 篇 software
27 篇 servers
26 篇 optimization
25 篇 monitoring
25 篇 visualization
23 篇 context
23 篇 mobile communica...
23 篇 mathematical mod...
21 篇 electronic mail

机构

25 篇 school of comput...
12 篇 department of co...
9 篇 school of inform...
9 篇 school of softwa...
8 篇 national institu...
7 篇 college of compu...
7 篇 ieee beijing sec...
7 篇 school of comput...
7 篇 faculty of engin...
6 篇 shanghai univers...
6 篇 information depa...
6 篇 school of scienc...
6 篇 department of ma...
5 篇 signal & informa...
5 篇 collaborative in...
5 篇 management schoo...
5 篇 school of comput...
5 篇 school of softwa...
4 篇 clealinktechnolo...
4 篇 shanghai jiao to...

作者

12 篇 gang xiong
10 篇 jing zhang
10 篇 bin sheng
9 篇 ping li
8 篇 shangce gao
7 篇 li zhuo
7 篇 yinglin wang
7 篇 wang yinglin
7 篇 xiaohua hu
7 篇 yi zhang
7 篇 jin sun
7 篇 zhou mengqi
6 篇 christopher c. y...
6 篇 anum masood
6 篇 yonghui dai
6 篇 yingxu wang
5 篇 timo r. nyberg
5 篇 xin liu
5 篇 bin zhang
5 篇 zhichao lian

语言

1,926 篇 英文
8 篇 其他
3 篇 中文

检索条件"任意字段=2016 IEEE International Conference on Progress in Informatics and Computing"

共 1937 条记录，以下是111-120 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：

A Short-Term Marginal Price Forecasting Model Based on Ensemble Learning 5

A Short-Term Marginal Price Forecasting Model Based on Ensem...

引用

2017 international conference on progress in informatics and computing(PIC)

作者： Kejia Pan Wenbin Shi Xin Wang Jiazhou Li Si Chuan Electric Power Co Rporation Information &Communication Co School of Computer Science and Technology Shanghai University of Electric power

ISBN: (纸本)9781538619797;9781538619780

This The system marginal price reflects the shortterm supply and demand of electricity goods in the electricity market, which is an important economic link to the participating members of the market. The traditional prediction model has a large error and low generalization ability to forecast the shortterm marginal price. Therefore, this paper proposes an ensemble learning algorithm for short-term marginal price forecasting based on Ada Boost. In this paper, the main factors influencing the short-term marginal electricity price are analyzed. Based on the Ada Boost algorithm, the short-term marginal electricity price forecasting problem is modeled. Four prediction models（C4.5, CART, Linear neural network, BP） are compared, and a short-term marginal price forecasting algorithm is proposed. By comparing the actual values with the predicted values, our proposed algorithm is superior to SVM and BP algorithm, which has high application values in power plant engineering.

关键词： AdaBoost integrated learning system marginal price short term

来源：评论

学校读者我要写书评

暂无评论

A fast seismic data processing approach based on parallel wavelet transform

A fast seismic data processing approach based on parallel wa...

引用

ieee international conference on progress in informatics and computing (PIC)

作者： Zhang, Xiaolai Lu, Yongquan Li, Jinsong Wang, Jintao High Performance Computing Center Communication University of China Beijing 100024 China Information Engineering School Communication University of China Beijing 100024 China

ISBN: (纸本)9781424467860

A new implementation of seismic data processing approach based on parallel wavelet transform is presented in this paper. Firstly, the feasibility and necessity of the parallel processing method for seismic data are elaborated from three primary aspects. Based on the analysis, the parallel wavelet transform is implemented by using MATLAB on a distributed cluster. Finally, both sequential and parallel implements are employed to test and compare the performance of our implementation. A series of experiments have demonstrated that parallel wavelet transform can significantly reduce the running time and improve the speedup greatly. ©2010 ieee.

关键词： Wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

A Novel Mutual Information based Ant Colony Classifier 5

A Novel Mutual Information based Ant Colony Classifier

引用

2017 international conference on progress in informatics and computing(PIC)

作者： Hang Yu Xiaoxiao Qian Yang Yu Jiujun Cheng Ying Yu Shangce Gao College of Computer Science and Technology Taizhou University Faculty of Engineering University of Toyama Key Laboratory of Embedded System and Service Computing Ministry of EducationTongji University

ISBN: (纸本)9781538619797;9781538619780

By constructing a list of IF-THEN rules, the traditional ant colony optimization(ACO) has been successfully applied on data classification with not only a promising accuracy but also a user comprehensibility. However, as the collected data to be classified usually contain large volumes and redundant features, it is challenging to further improve the classification accuracy and meanwhile reduce the computational time for *** paper proposes a novel hybrid mutual information based ant colony algorithm(mrAM+) for classification. First, a maximum relevance minimum redundancy feature selection method is used to select the most informative and discriminative attributes in a dataset. Then, we use the enhanced ACO classifier(i.e., AM+)to perform the classification. Experimental results show that the proposed mrAM+ outperforms other seven state-of-art related classification algorithms in terms of accuracy and the size of model.

关键词： ant colony optimization mutual information classification data mining feature selection

来源：评论

学校读者我要写书评

暂无评论

The Realization of Identification Method for DataMatrix Code 5

The Realization of Identification Method for DataMatrix Code

引用

2017 international conference on progress in informatics and computing(PIC)

作者： YanGe Dai Lizhen Liu Wei Song Chao Du Xinlei Zhao Information and Engineering College Capital Normal University College of Foreign Languages Capital Normal University

ISBN: (纸本)9781538619797;9781538619780

The minimum size of the DataMatrix code is 0.0002 square inches and this size is the smallest of the current onedimensional and two-dimensional codes. So it is particularly suitable for printing on metal parts of circuit boards. However, compared with the general two-dimensional code, there are still many technical difficulties on metal surface DataMatrix code identification technology. The reflection on metal surface is not conducive to the DataMatrix binarization. The large spacing between the codes is not conducive to positioning and identification. There is a distorted or incomplete DataMatrix code on metal surface. In this paper, a DataMatrix code recognition method is proposed by digital image processing technology. Firstly, Binarization is achieved by improving the traditional Otsu algorithm. The binarized image is dilated to solve the problem of large code interval. Secondly, the DataMatrix code region is located. The Hough transform is used to detect the four vertices of the DataMatrix code. The vertex is used to correct the twisty DataMatrix code. Finally, according to the structural characteristics of the DataMatrix code, the incomplete code is completed. According to the encoding rules, the DataMatrix code is decoded. After the above series of steps, we can achieve the purpose of identifying DataMatrix code.

关键词： DataMatrix image processing binarization

来源：评论

学校读者我要写书评

暂无评论

Brain Storm Optimization with Adaptive Search Radius for Optimization 5

Brain Storm Optimization with Adaptive Search Radius for Opt...

引用

2017 international conference on progress in informatics and computing(PIC)

作者： Yang Yu Lei Wu Hang Yu Sheng Li Shi Wang Shangce Gao Faculty of Engineering University of Toyama Hefei Power Supply Co. Ltd.State Grid Corporation of China College of Computer Science and Technology Taizhou University

ISBN: (纸本)9781538619797;9781538619780

Brain storm optimization algorithm is a newly proposed algorithm which is based on the social behaviors of human beings. It gets inspiration from the procedure of brain storming to generate new individuals. The properties of brain storming highly ensure the diversity of the whole population and can efficiently eliminate premature convergence. In this paper, an adaptive search radius method has been proposed to help brain storm optimization to enhance its search ability. The proposed algorithm equipped with adaptive search strategies introduces a success and failure memory to choose the best suitable search strategy to improve the individual quality in each iteration. Three strategies can be chosen in the duration of convergence adaptively and guarantee better solutions compared with traditional brain storm optimization.

关键词： brain storm optimization adaptive search radius memory-based selection meta-heuristic algorithm

来源：评论

学校读者我要写书评

暂无评论

Infrared Remote Sensing Imaging via Asymmetric Compressed Sensing 5

Infrared Remote Sensing Imaging via Asymmetric Compressed Se...

引用

2017 international conference on progress in informatics and computing(PIC)

作者： Zhao-yun Fan Quan-sen Sun Ji-xin Liu School of Computer Science and Engineering Nanjing University of Science and Technology Engineering Research Center of Wideband Wireless Communication Technology Ministry of Education Nanjing University of Posts and Telecommunications

ISBN: (纸本)9781538619797;9781538619780

Compressed sensing（CS） theory provides a new acquisition idea for sparse signals and sparsely-expressed signals. CS-based hardware design has been widely concerned. And related products have been tentatively tried in many fields. The design of remote sensing imaging based on CS mainly includes single pixel multiple exposure imaging and block focal plane coding multi-pixel single exposure imaging. In this paper, a CS asymmetric processing model, which is different from traditional image reconstruction, is proposed. And it is applied to CS hardware design for infrared（IR） remote sensing imaging. This model fully considers the global information of the image, which combines the multiple neighborhood values of the observed results in the CS process, and also combines the multiple measurement matrix blocks to form a new measurement matrix. At the same time, a sparse dictionary construction method suitable for asymmetric patterns is proposed, which can effectively compensate for the local differences caused by image *** experimental results show that the proposed method is superior to the conventional block focal plane coding compression reconstruction both in reconstruction time and in reconstruction quality.

关键词： Compressed Sensing Image Reconstruction Asymmetric Mode Measurement Matrix

来源：评论

学校读者我要写书评

暂无评论

A Preference-based Multi-objective Evolutionary Strategy for Ab Initio Prediction of Proteins 5

A Preference-based Multi-objective Evolutionary Strategy for...

引用

2017 international conference on progress in informatics and computing(PIC)

作者： Zhenyu Song Yajiao Tang Xingqian Chen Shuangbao Song Shuangyu Song Shangce Gao Faculty of Engineering University of Toyama

ISBN: (纸本)9781538619797;9781538619780

Predicting the three-dimensional structure of a protein from its amino acid sequence is an important issue in the field of computational biology and bioinformatics. It remains as an unsolved problem and attract enormous researchers' interests. Different from most conventional methods, we model the protein structure prediction(PSP) problem as a multiobjective optimization problem. A three-objective energy function based on three physical terms is designed to evaluate a protein conformation. A multi-objective evolutionary strategy algorithm coupled with preference information is proposed in this study. The preference information is used in the survival criteria, focusing on the exploration of search process. The experimental results based on five proteins in PDB library demonstrate the effectiveness of proposed method. The analysis of Pareto fronts indicates that the preference information can make solutions diverse in genotypic space. Thus, the proposed method gives a new perspective for solving PSP problems.

关键词： Protein structure prediction multi-objective optimization multi-objective evolutionary algorithm preference information utility function

来源：评论

学校读者我要写书评

暂无评论

Design of Low Cost Pedestrian Location System Based on Inertial Navigation 5

Design of Low Cost Pedestrian Location System Based on Inert...

引用

2017 international conference on progress in informatics and computing(PIC)

作者： Xie Shuiqing Li Xiangyuan Li Zhengyi Zhou Hui Yang Dandan College of Electronics and Information Engineering South-Central University for Nationalities College of Biomedical Engineering South-Central University for Nationalities

ISBN: (纸本)9781538619797;9781538619780

When carrying out special services of rescue and firefighting in buildings, underground works, tunnels and mine, where has no GPS signal, it’s important to get location information of special staff, which used by guiding rescue, evacuation and force dispatch. In order to meet the above requirements, this system uses the inertial measurement unit constructed by 3-axis acceleration, 3-axis gyroscope and 3-axis geomagnetic sensor to complete the measurement of pedestrian motion information, calculate the personnel attitude through the cosine matrix, and use the extended Kalman filter the calculation of the speed and position of the personnel is carried out, and the zero speed detection is realized by the gyroscope to reduce the accumulated error of the calculation, thus realizing the key technology of inertial navigation. Using Zig Bee and WIFI modules, the development of portable wireless network nodes, to build a wireless self-organizing network. Using embedded microcontrollers and MEMS inertial sensors to build a wearable wireless navigation and positioning system. Using wireless ad hoc network, implement real-time online monitoring of the staff positions and movement trajectory. The wearable wireless navigation and positioning system can accurately obtain the position and movement trajectory of the rescue personnel. Using the wireless ad hoc network, the position and the trajectory information of the rescue personnel can be transmitted to the control center in real time to provide information for the disaster relief command and decision support service.

关键词： Pedestrian Navigation System Inertial Sensors Zero-Velocity Detection Kalman filter

来源：评论

学校读者我要写书评

暂无评论

Research on Abnormal Behavior Target Tracking Algorithm in Airport Intelligent Video Surveillance 5

Research on Abnormal Behavior Target Tracking Algorithm in A...

引用

2017 international conference on progress in informatics and computing(PIC)

作者： Daihao Zhang Xiaoyan Qian Yanlin Zhang College of Civil Aviation Nanjing University of Aeronautics and Astronautics Nanjing University of Aeronautics and Astronautics College of Civil Aviation

ISBN: (纸本)9781538619797;9781538619780

With the rapid development of China's civil aviation industry, the airport is facing increasing pressure on security. In this paper, the target tracking algorithm in Intelligent Video Surveillance(IVS) is studied. It aims to provide ideas and reference for the development and implementation of high performance intelligent video surveillance system. The main contents of this paper are as follows: Aiming at the problem of tracking failure caused by occlusion, deformation and illumination changes, this paper proposes a target tracking algorithm that combines the apparent features and depth characteristics. Firstly, the CNN network is trained by a large number of pedestrian databases, and then the depth characteristics of the target area are extracted by trained CNN network. At the same time, the color histogram of the target area in HSV space is calculated, and the depth feature and color feature are combined to get the whole feature. Finally, a number of hypothetical states are estimated under the framework of particle filter, the optimal position of the target is obtained, the tracking result is obtained, and the template is updated. Finally, the resampling is carried out according to the degeneration of the particle. Experiments show that the tracking algorithm has good tracking robustness. Finally, the target tracking system is designed and simulated on the Matlab platform. The validity and practicability of the algorithm are verified.

关键词： intelligent video surveillance convolution neural network color histogram target tracking

来源：评论

学校读者我要写书评

暂无评论

Two Dimensional Paraspinal Muscle Segmentation in CT Images 5

Two Dimensional Paraspinal Muscle Segmentation in CT Images

引用

2017 international conference on progress in informatics and computing(PIC)

作者： Yong Wei Bin Xu Mengyi Ying Junfeng Qu Ryan Duke Dept.of Computer Science&Information Systems University of North Georgia Dept.of Spine Surgery Jinling HospitalSchool of MedicineNanjing University Department of Mathematics University of North Georgia Department of Computer Science Clayton State University Department of Physics University of North Georgia

ISBN: (纸本)9781538619797;9781538619780

Paraspinal muscles support the spine and are the source of movement force. The size, shape, density, and volume of the paraspinal muscles cross-section area(CSA) are affected by many factors, such as age, health condition, exercise, and low back pain. It is invaluable to segment the paraspinal muscle regions in images in order to measure and study them. Manual segmentation of the paraspinal muscle CSA is time-consuming and inaccurate. In this work, an atlas-based image segmentation algorithm is proposed to segment the paraspinal muscles in CT images. To address the challenges of variations of muscle shape and its relative spatial relationship to other organs, mutual information is utilized to register the atlas and target images, followed by gradient vector flow contour deformation. Experimental results show that the proposed method can successfully segment paraspinal muscle regions in CT images in both intrapatient and interpatient cases. Furthermore, using mutual information to register atlas and target images outperforms the method using spine-spine registration. It segments the muscle regions accurately without the need of the computationally expensive iterative local contour optimization. The results can be used to evaluate paraspinal muscle tissue injury and postoperative back muscle atrophy of spine surgery patients.

关键词： CT image segmentation mutual information-based image registration atlas-based image segmentation paraspinal muscle

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194页 << < 8 9 10 11 12 13 14 15 16 17 > >>

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：