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检索条件"任意字段=2012 2nd International Conference on Advances in Computer Science and Engineering, CES 2012"

共 2298 条记录，以下是81-90 订阅

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On the efficiency of polynomial multiplication for lattice-based cryptography on GPUs using CUDA 2nd

On the efficiency of polynomial multiplication for lattice-b...

引用

2nd international conference on Cryptography and Information Security in the Balkans, BalkanCryptSec 2015

作者： Akleylek, Sedat Dağdelen, Özgur Tok, Zaliha Yüce Department of Computer Engineering Ondokuz Mayıs University Samsun Turkey Cryptography and Computer Algebra Group TU Darmstadt Darmstadt Germany BridgingIT GmbH Mannheim Germany Institute of Applied Mathematics METU Ankara Turkey

ISBN: (纸本)9783319291710

Polynomial multiplication is the most time-consuming part of cryptographic schemes whose security is based on ideal lattices. Thus, any efficiency improvement on this building block has great impact on the practicability of lattice-based cryptography. In this work, we investigate several algorithms for polynomial multiplication on a graphical processing unit (GPU), and implement them in both serial and parallel way on the GPU using the compute unified device architecture (CUDA) platform. Moreover, we focus on the quotient ring (/p) [x]/(xn + 1), where p is a prime number and n is a power of 2. We stress that this ring constitutes the most common setting in lattice-based cryptography for efficiency reasons. As an application we integrate the different implementations of polynomial multiplications into a lattice-based signature scheme proposed by Güneysu et al. (CHES 2012) and identify which algorithm is the preferable choice with respect to the ring of degree n. © Springer international Publishing Switzerland 2016.

关键词： Fast Fourier transforms

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Research of K-means clustering method based on DNA genetic algorithm and P system 1

引用

2nd international conference on Human Centered Computing, HCC 2016

作者： Jiang, Zhenni Zang, Wenke Liu, Xiyu School of Management Science and Engineering Shandong Normal University JinanShandong China

ISBN: (数字)9783319318547

ISBN: (纸本)9783319318530

This paper proposed a k-means clustering analysis method, which is based on DNA genetic algorithm and P system. DNA encoding is used to analyze the initial center of cluster and the P system is used to realize the clustering. The quality of the clustering is judged by the Euclidean distance of the corresponding cluster center, the rate of convergence and the image of the clustering result. Through selection, crossover, mutation and inversion, we can get the best center of the cluster. At the end of the paper, we take the simulation experience and the result shows the effect of this method is superior to the genetic algorithm of k-means clustering method. The simulation experiment is finished in the MATLAB 2014a and the experiment data is random generated. © Springer international Publishing Switzerland 2016.

关键词： Genetic algorithms

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Link mining in online social networks with directed negative relationships 2nd

Link mining in online social networks with directed negative...

引用

2nd international conference on Young computer Scientists, Engineers and Educators, ICYCSEE 2016

作者： Hu, Baofang Wang, Hong School of Information Technology Shandong Women’s University Jinan250014 China School of Information Science and Engineering Shandong Normal University Jinan250014 China

ISBN: (纸本)9789811020520

One of the most important work to analyse online social networks is link mining. A new type of social networks with positive and negative relationships are burgeoning. We present a link mining method based on random walk theory to mine the unknown relationships in directed social networks which have negative relationships. Firstly, we define an extended Laplacian matrix based on this type of social networks. Then, we prove the matrix can be used to compute the similarities of the node pairs. Finally, we propose a link mining method based on collaboration recommendation method. We apply our method in two real social networks. Experimental results show that our method do better in terms of sign accuracy and AUC for mining unknown links in the two real datasets. © Springer science+Business Media Singapore 2016.

关键词： Social networking (online)

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Experiment Design of Information Security Classified Protection based on the Procedure oriented Cultivation

Experiment Design of Information Security Classified Protect...

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2016 2nd international conference on advances in Mechanical engineering and Industrial Informatics(AMEII 2016)

作者： Jian Jiao Xingfen Wang Xin Chen Qiyuan Liu School of Computer Beijing Information Science & Technology University

ISBN: (纸本)9781510823808

For the actual situation that it is generally lack of classified protection experiments in the experimental teaching of colleges and universities,analyzing the relevance between each knowledge points and basic knowledge in classified protection,and proposed an experiment construction of classified protection security based on procedure oriented cultivation,planning the classified protection oriented knowledge system for each knowledge point,then,starting with experimental process and effects,implementing the procedure oriented teaching and cultivation of experimental teaching,improved students' comprehensive practical ability.

关键词： Classified Protection Information Security Laboratory Program Procedure oriented Cultivation

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Imbalance effects on classification using binary logistic regression 2nd

Imbalance effects on classification using binary logistic re...

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2nd international conference on Soft Computing in Data science, SCDS 2016

作者： Abd Rahman, Hezlin Aryani Yap, Bee Wah Faculty of Computer and Mathematical Sciences Centre of Statistical and Decision Science Studies Universiti Teknologi MARA Shah AlamSelangor40450 Malaysia Faculty of Computer and Mathematical Sciences Advanced Analytics Engineering Centre Universiti Teknologi MARA Shah AlamSelangor40450 Malaysia

ISBN: (纸本)9789811027765

Classification problems involving imbalance data will affect the performance of classifiers. In predictive analytics, logistic regression is a statistical technique which is often used as a benchmark when other classifiers, such as Naïve Bayes, decision tree, artificial neural network and support vector machine, are applied to a classification problem. This study investigates the effect of imbalanced ratio in the response variable on the parameter estimate of the binary logistic regression via a simulation study. Datasets were simulated with controlled different percentages of imbalance ratio (IR), from 1 % to 50 %, and for various sample sizes. The simulated datasets were then modeled using binary logistic regression. The bias in the estimates was measured using MSE (Mean Square Error). The simulation results provided evidence that imbalance ratio affects the parameter estimates where severe imbalance (IR = 1 %, 2 %, 5 %) has higher MSE. Additionally, the effects of high imbalance (IR ≤ 5 %) will be more severe when sample size is small (n = 100 & n = 500). Further investigation using real dataset from the UCI repository (Bupa Liver (n = 345) and Diabetes Messidor, n = 1151)) confirmed the imbalanced ratio effect on the parameter estimates and the odds ratio, and thus will lead to misleading results. © Springer Nature Singapore Pte Ltd. 2016.

关键词： Mean square error

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Character variable numeralization based on dimension expanding and its application on text classification 2nd

Character variable numeralization based on dimension expandi...

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2nd international conference on Young computer Scientists, Engineers and Educators, ICYCSEE 2016

作者： Xu, Li-Xun Yu, Xu Wang, Yong Feng, Yun-Xia Sino-German Faculty Qingdao University of Science and Technology Qingdao266061 China School of Information Science and Technology Qingdao University of Science and Technology Qingdao266061 China College of Computer Science and Technology Harbin Engineering University Harbin150001 China

ISBN: (纸本)9789811020520

The character variable discrete numeralization destroyed the disorder of character variables. As text classification problem contains more character variable, discrete numeralization approach affects the classification performance of classifiers. In this paper, we propose a character variable numeralization algorithm based on dimension expanding. Firstly, the algorithm computes the number of different values which the character variable takes. Then it replaces the original values with the natural bases in the m-dimensional Euclidean space. Though the algorithm causes a dimension expanding, it reserves the disorder of character variables because the natural bases are no difference in size, so this algorithm is a better character variable numerical processing algorithm. Experiments on text classification data sets show that though the proposed algorithm costs a little more running time, its classification performance is better. © Springer science+Business Media Singapore 2016.

关键词： Classification (of information)

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A transductive support vector machine algorithm based on ant colony optimization 2nd

A transductive support vector machine algorithm based on ant...

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2nd international conference on Young computer Scientists, Engineers and Educators, ICYCSEE 2016

作者： Yu, Xu Ren, Chun-Nian Zhou, Yan-Ping Wang, Yong School of Information Science and Technology Qingdao University of Science and Technology Qingdao266061 China College of Computer Science and Technology Harbin Engineering University Harbin150001 China

ISBN: (纸本)9789811020520

Transductive support vector machine optimization problem is a NP problem, in the case of larger number of labeled samples, it is often difficult to obtain a global optimal solution, thereby the good generalization ability of transductive learning has been affected. Previous methods can not give consideration to both running efficiency and classification precision. In this paper, a transductive support vector machine algorithm based on ant colony optimization is proposed to overcome the drawbacks of the previous methods. The proposed algorithm approaches the approximate optimal solution of Transductive support vector machine optimization problem by ant colony optimization algorithm, and the advantage of transductive learning can be fully demonstrated. Experiments on several UCI standard datasets and the newsgroups 20 dataset showed that, with respect to running time and classification precision, the proposed algorithm has obvious advantage over the previous algorithms. © Springer science+Business Media Singapore 2016.

关键词： Ant colony optimization

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Research on station location optimization CAD system based on the cooperative mode 2nd

Research on station location optimization CAD system based o...

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2nd international conference on Human Centered Computing, HCC 2016

作者： Xie, Qingxi Liu, Xiyu Yan, Xuebin College of Management Science and Engineering Shandong Normal University Jinan China China United Network Communications Co Beijing China

ISBN: (纸本)9783319318530

Currently, the mobile communications business has become a major driving force of China’s information communication industry. This means that a wireless communication network needs to provide better quality of service. An excellent base location planning is the basis of building high quality wireless communications network. Early period, the way of dependent on experience and field measurements manner is costly and inefficient. Under this background we propose a new idea – station Location optimization CAD System based on the HOOPS cooperative mode. This station Location optimization CAD System effectively takes advantage of CAD technology and geographic information systems and it makes Rapid configuration technology and multi-target solution techniques Cooperative based on HOOPS flow. © Springer international Publishing Switzerland 2016.

关键词： Base stations

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Customer satisfaction analysis based on SVM 2nd

Customer satisfaction analysis based on SVM

引用

2nd international conference on Human Centered Computing, HCC 2016

作者： Jiang, Zhenni Zang, Wenke Liu, Xiyu School of Management Science and Engineering Shandong Normal University JinanShandong China

ISBN: (纸本)9783319318530

The current intense market competition environment force many enterprises take more and more attention to customer demands, and adopt effective methods to evaluate the importance of customer satisfaction. In order to analysis the customer’s actual need, enterprises need to use the effective data analysis method to analyze customer satisfaction. The economic development of e-commerce era has made the original offline entity transactions convert into online transactions. The way of traditional survey is no longer suitable for the analysis of customer satisfaction. For the lafite wine which sells on the tmall market, the author collected the data of many shops, adopted the method of SVM (support vector machine), analyzed the main factors that affect customer satisfaction, and find their own shortcomings at the end. This method improved the precision of the analysis of customer satisfaction, and can help policymakers understand the demand of customers. © Springer international Publishing Switzerland 2016.

关键词： Support vector machines

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Base station location optimization based on the google earth and ACIS 2nd

Base station location optimization based on the google earth...

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2nd international conference on Human Centered Computing, HCC 2016

作者： Xie, Qingxi Liu, Xiyu Yan, Xuebin College of Management Science and Engineering Shandong Normal University Jinan China China United Network Communications Co Beijing China

ISBN: (纸本)9783319318530

At present, People quickly go into the era of 4 G, which requires vast amounts of 4 G base stations to be established. So How to use the algorithm to layout the base station reasonably in order to save costs for operators has become an important research content. In this context, this paper proposes a new solution–using ACIS and Google Earth techniques to establish a new Telecommunication base station site selection of the CAD system. This system on the basis of predecessors innovatively introduced the reconstructing 3 d terrain simulation system into the base station location optimization problem and used the particle swarm optimization algorithm to solve multi-objective mathematical model of the problem about base station planning problem under the condition of considering the geographic information. It can automatically produce base station primary scheme and showed the primary scheme on the reconstruction of the terrain by ACIS/HOOPS modeling techniques. © Springer international Publishing Switzerland 2016.

关键词： Base stations

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