检索结果-内蒙古大学图书馆

2012 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet 2012

作者： Jin, Fangyuan Zhu, Yanqin Luo, Xizhao Department of Computer Science and Technology Soochow University Suzhou China Jiangsu Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou China

We construct a general Verifiable Fully Homomorphic Encryption, using the existed Fully Homomorphic Encryption schemes. The main appeal of the scheme is the verifiability of Evaluate function. Its security and other p... 详细信息

ISBN: (纸本)9781457714153

关键词： Cryptography

来源：评论

学校读者我要写书评

暂无评论

Fuzzy inference mechanism based automatic elastic registration of two-dimensional gel electrophoresis images

引用

information technology Journal 2012年第1期11卷 20-29页

作者： Pan, Yonghui Deng, Zhaohong Wang, Shitong Gao, Qun Jiangsu Engineering R and D Center for Information Fusion Software Jiangsu Jiangyin 214405 China School of Digital Media Jiangnan University Lihu Avenue 1800 Wuxi Jiangsu 214122 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Jiangsu Suzhou 215123 China

A key technique for protein analysis is the geometric alignment of two-dimensional polyacrylamide gel electrophoresis (2-D PAGE), i.e., 2-D PAGE image registration. In this study, the adaptability in elastic image registration was emphasized. According to the characteristics of 2-D gel image registration, a fuzzy-inference-rule based flexible model (FIM-FM) is proposed to model the complex transformation between 2-D gel image pairs. By introducing the concept of motion estimation, the parameter learning rules of the proposed model are derived for registration. The experiments show that the proposed algorithm is highly effective for registration of 2-D gel images and is competitive to the existing state-of-the-art algorithms. © 2012 Asian Network for Scientific information.

关键词： Image registration

来源：评论

学校读者我要写书评

暂无评论

Automated essay scoring using the KNN algorithm

Automated essay scoring using the KNN algorithm

引用

International Conference on computer Science and Software Engineering, CSSE 2008

作者： Bin, Li Jun, Lu Jian-Min, Yao Qiao-Ming, Zhu Provincial Key Laboratory of Computer Information Processing Technology Soochow University Suzhou 215006 China

ISBN: (纸本)9780769533360

The K-Nearest Neighbor (KNN) algorithm for text categorization is applied to CET4 essays. In this paper, each essay is represented by the Vector Space Model (VSM). After removing the stop words, we chose the words, phrases and arguments as features of the essays, and the value of each vector is expressed by the term frequency and inversed document frequency (TF-IDF) weight. The TF and information fain (IG) methods are used to select features by predetermined thresholds. We calculated the similarity of essays with cosine in the KNN algorithm. Experiments on CET4 essays in the Chinese Learner English Corpus (CLEC) show accuracy above 76% is achieved. © 2008 IEEE.

关键词： Text processing

来源：评论

学校读者我要写书评

暂无评论

A multiple bayes classification solution to word sense disambiguation 09

A multiple bayes classification solution to word sense disam...

引用

2nd International Conference on Interaction Sciences: information technology, Culture and Human, ICIS 2009

作者： Pan, Zhao-Zhi Yu, Hong Yao, Jian-Min Provincial Key Laboratory of Computer Information Processing Technology Soochow University Suzhou 215006 China

ISBN: (纸本)9781605587103

Word sense disambiguation is a crucial and difficult problem in natural language processing. The problem of word sense disambiguation can be considered as a typical classification problem. Different information is selected to build three classifiers based on Naïve Bayes. After forming the confusion matrix to show the ability of each classifier to each sense item as the pre-probability, we compose three classifiers to a multiple classifier system. The result of experiments shows that the multiple classifier system outperforms individual classifier. Copyright © 2009 ACM.

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

Survey of DCA for abnormal detection

Journal of Software

引用

Journal of Software 2013年第8期8卷 2087-2094页

作者： Ding, Lei Yu, Fei Yang, Zhenghua School of Information Science and Engineering Jishou University Jishou 416000 China Jiangsu Provincial Key Laboratory for Computer Information Processing Technology Soochow University Soochow 215006 China School of Information Science and Engineering Jishou University Jishou 416000 China

As a latest immune algorithm, dendritic cell algorithm (DCA) has been successfully applied into the abnormal detection. First, this paper reviewed the research progress of DCA from the following aspects: signal extraction technology, DCA signal processing technology, the decision method for load anomaly judgment, and the application research of DCA. Next, the corresponding solving thoughts for the main problems existing in the DCA were proposed in this paper. Finally, the future research trends of DCA were presented in this paper. © 2013 ACADEMY PUBLISHER.

关键词： Signal processing

来源：评论

学校读者我要写书评

暂无评论

An Optimization Method for Weight Computation in Hypergraph Transductive Learning Model 9

An Optimization Method for Weight Computation in Hypergraph ...

引用

9th International Conference on Advanced Cloud and Big Data, CBD 2021

作者： Yang, Zhe Xu, Liangkui Bu, Ziyu Chen, Yipeng Information Processing Technology Provincial Key Laboratory for Computer Soochow University School of Computer Science and Technology Suzhou China

ISBN: (纸本)9781665407458

Compared with the graph structure, the hyper-graph structure can convey more complex and multivariate relationships. In addition, hypergraphs are more capable of portraying and mining higher-order nonlinear correlations among objects. Therefore, it has been widely used in feature selection, clustering classification, and addressing other issues, and hypergraph learning has also become an important branch in the field of machine learning. Hypergraph learning, however, is a relatively high time consuming learning algorithm, because in its iterative solving process, there are lots of high-dimension matrix computations with large-scale parameters. This paper proposes an optimization of the weights, which is constructed by Gaussian kernel, in hyper-graph transductive learning model the weight matrix is replaced by fixed parameters when constructing the hypergraph laplacian matrix, which reduces the time consuming of weights computation in iterative process. Extensive experimental with semi-supervised node classification experiment results on the UCI and Kaggle datasets show that the optimized model reduces the time consuming of the hypergraph model, while ensuring classification accuracy. After model optimization, the four accuracy indicators fluctuate on average 3.03%, the time consuming is reduced by 28.99% on average, and the maximum saving is 42.84%. © 2022 IEEE.

关键词： Learning algorithms

来源：评论

学校读者我要写书评

暂无评论

Analysis of BT network based on active measurement

Analysis of BT network based on active measurement

引用

2nd International Conference on Networking and Digital Society, lCNDS 2010

作者： Li, Linqing Su, Dongliang Wang, Zhihao Yang, Zhe Provincial Key Laboratory for Computer Information Processing Technology School of Computer Science and Technology Soochow University Suzhou China

ISBN: (纸本)9781424451616

Peer-to-peer (P2P) systems enable a wide range of important, scalable and reliable services such as file sharing, voice-over-IP (VoIP) and video streaming. And they also generate most traffic in all regions. Excessive P2P traffic can cause significant network management problems because these systems are notoriously greedy with regard to bandwidth consumption. As a result, the ISPs and all network administrators have a mutual interest in shaping, blocking or otherwise limiting P2P traffic. Before doing these, understanding, analyzing and identifying P2P traffic is necessary. In this paper, we inside analyze BitTorrent (BT) traffic with a special modified Vuze client in a stub network. Preliminary results indicate that among all forty-nine BT clients we have detected, the most popular two are μTorrent and Azureus. They have over 50%-86% market share. And about one-third of all clients are the legacy or proprietary client, which have no capacity of supporting the Message Stream Encryption (MSE) protocol. Further, the BT clients relied excessively on trackers, because near half peers' information come from trackers, especially in the beginning of new mission. Moreover, Distributed Hash Table (DHT) did not play the proper role as it is expected. Finally, we unexpectedly find that the most popular used port is still 6881, but it is only 2.24%. ©2010 IEEE.

关键词： Voice/data communication systems

来源：评论

学校读者我要写书评

暂无评论

Active analysis of BT with a modified Azureus client

Active analysis of BT with a modified Azureus client

引用

10th IEEE International Conference on computer and information technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, 10th IEEE Int. Conf. Scalable Computing and Communications, ScalCom-2010

作者： Yang, Zhe Li, Lingzhi Wang, Zhihao Li, Linqing Provincial Key Laboratory for Computer Information Processing Technology School of Computer Science and Technology Soochow University Suzhou China

ISBN: (纸本)9780769541082

Peer-to-peer (P2P) systems have become increasingly popular for a variety of applications in Internet for their several advantages over traditional client/server architecture. And they also generate most traffic in all regions around the world. Thus, the ISPs and all network administrators have a mutual interest in limiting P2P traffic. Before doing these, understanding and analyzing their traffic is necessary. In this paper, we inside analyze BitTorrent (BT) traffic with a special modified Vuze client in a stub network. Preliminary results indicate that among all BT clients we have detected, the most popular two outside China are μTorrent and Azureus. They have over 50%-86% market share. But in China, the Xunlei client is almost the No. 1, but is can not support the Message Stream Encryption (MSE) protocol. And there are also lots of proprietary or unknown BT clients can not support the MSE protocol, and some users looks like to be unwilling to use it. The proportion in China is bigger. And some BT clients may upgrade or downgrade the encryption level independently, disobeying the user configuration of MSE. All BT clients relied excessively on trackers, especially in China. Moreover, Distributed Hash Table (DHT) does not play the proper role as we expected. Although BT systems can use both TCP and UDP protocols for transportation, the TCP protocol is the dominant one by 99%. Finally, we investigate the port used by all peers. Unexpectedly, the most popular used port is 6881 outside China and 80 in China. And in China, small port numbers are often used. © 2010 IEEE.

关键词： Cryptography

来源：评论

学校读者我要写书评

暂无评论

Research Progress on Solar Flare Forecast Methods Based on Data-driven Models

引用

Research in Astronomy and Astrophysics 2023年第6期23卷 12-27页

作者： Ke Han Meng-Yao Yu Jun-Feng Fu Wen-Bin Ling De-quan Zheng Jie Wan Peng E School of Computer and Information Engineering Heilongjiang Provincial Key Laboratory of Electronic Commerce and Information ProcessingHarbin University of CommerceHarbin 150028China Laboratory for Space Environment and Physical Sciences Harbin Institute of TechnologyHarbin 150001China

Eruption of solar flares is a complex nonlinear process,and the rays and high-energy particles generated by such an eruption are detrimental to the reliability of space-based or ground-based *** far,there are not reliable physical models to accurately account for the flare outburst mechanism,but a lot of data-driven models have been built to study a solar flare and forecast *** the paper,the status of solar-flare forecasting is reviewed,with emphasis on the machine learning methods and data-processing techniques used in the *** first,the essential forecast factors strongly relevant to solar flare outbursts,such as classification information of the sunspots and evolution pattern of the magnetic field,are reviewed and ***,methods of resampling for data preprocessing are introduced to solve the problems of class imbalance in the solar flare ***,typical model structures adopted for flare forecasting are reviewed from the aspects of the single and fusion models,and the forecast performances of the different models are ***,we herein summarize the current research on solar flare forecasting and outline its development trends.

关键词： Sun:activity Sun:flares (Sun:)sunspots Sun:magnetic fields

来源：评论

学校读者我要写书评

暂无评论

Data secure transmission intelligent prediction algorithm for mobile industrial IoT networks

引用

Digital Communications and Networks 2023年第2期9卷 400-410页

作者： Lingwei Xu Hao Yin Hong Jia Wenzhong Lin Xinpeng Zhou Yong Fu Xu Yu Department of Information Science and Technology Qingdao University of Science and TechnologyQingdao266061China Fujian Key Laboratory of Sensing and Computing for Smart Cities Xiamen UniversityXiamen361005China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control(Minjiang University) Fuzhou350121China Faculty of Information Science and Engineering Ocean University of ChinaQingdao266100China Shandong Provincial Key Laboratory of Computer Networks Shandong Computer Science Center(National Supercomputer Center in Jinan)JinanChina

Mobile Industrial Internet of Things(IIoT)applications have achieved the explosive growth in recent *** mobile IIoT has flourished and become the backbone of the industry,laying a solid foundation for the interconnection of all *** variety of application scenarios has brought serious challenges to mobile IIoT networks,which face complex and changeable communication *** data secure transmission is critical for mobile IIoT *** paper investigates the data secure transmission performance prediction of mobile IIoT *** cut down computational complexity,we propose a data secure transmission scheme employing Transmit Antenna Selection(TAS).The novel secrecy performance expressions are first ***,to realize real-time secrecy analysis,we design an improved Convolutional Neural Network(CNN)model,and propose an intelligent data secure transmission performance prediction *** mobile signals,the important features may be removed by the pooling *** will lead to negative effects on the secrecy performance prediction.A novel nine-layer improved CNN model is *** of the input and output layers,it removes the pooling layer and contains six convolution ***,Back-Propagation(BP)and LeNet methods are employed to compare with the proposed *** simulation analysis,good prediction accuracy is achieved by the CNN *** prediction accuracy obtains a 59%increase.

关键词： Mobile IIoT networks Data secure transmission Performance analysis Intelligent prediction Improved CNN

来源：评论

学校读者我要写书评

暂无评论

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：

请选择收藏分类：

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

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：