2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference最新文献

Research of DTMF dialing system based on the goertzel algorithm and MATLAB simulation 基于goertzel算法的DTMF拨号系统研究及MATLAB仿真

2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference Pub Date : 2014-12-01 DOI: 10.1109/ITAIC.2014.7065012

L. Yuying

引用次数: 0

Towards feature subset selection in intrusion detection 入侵检测中特征子集选择的研究

2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference Pub Date : 2014-12-01 DOI: 10.1109/ITAIC.2014.7065007

I. Ahmad, Fazal e Amin

{"title":"Towards feature subset selection in intrusion detection","authors":"I. Ahmad, Fazal e Amin","doi":"10.1109/ITAIC.2014.7065007","DOIUrl":"https://doi.org/10.1109/ITAIC.2014.7065007","url":null,"abstract":"Intrusion is a serious issue in computer and network systems because a single intrusion can cause a heavy loss in few seconds. To prevent an intrusion, a robust intrusion detection system is highly needed. Existing intrusion detection techniques are not robust; the number of false alarms is high. One of the reasons of false alarms is due to the use of a raw dataset that includes redundancy. To overcome this issue, the recent approaches used (PCA) for feature subset selection where features are first transformed into an eigen space and then features are selected based on their variances (i.e. eigenvalues), but the features corresponding to the highest eigenvalues may not have the optimal sensitivity for the classifier. Instead of using traditional approach of selecting features with the highest eigenvalues, an optimization approach is needed because the selection of most discriminative subset of transformed features is an optimization problem. One research used genetic algorithm (GA) to search the most discriminative subset of transformed features which is evolutionary optimization approach. The particle swarm optimization (PSO) is another optimization approach based on the behavioral study of animals/birds that outperforms GA in some applications. Therefore, the PSO based method is proposed in feature subset selection in this research work.","PeriodicalId":111584,"journal":{"name":"2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127454390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 19

Towards a hybrid approach of primitive cognitive network process and weighted iterative dichotomiser 3 for customer e-payment adoption analysis 基于原始认知网络过程和加权迭代二分法的客户电子支付采用分析

2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference Pub Date : 2014-12-01 DOI: 10.1109/ITAIC.2014.7065038

Joyce Wenting Su, K. Yuen

引用次数: 0

Hyper-network multi agent model for military system and its use case 军事系统超网络多智能体模型及其用例

2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference Pub Date : 2014-12-01 DOI: 10.1109/ITAIC.2014.7065070

Zhu Jiang, Du Wei, Zhao Shu-chun, L. Dawei

{"title":"Hyper-network multi agent model for military system and its use case","authors":"Zhu Jiang, Du Wei, Zhao Shu-chun, L. Dawei","doi":"10.1109/ITAIC.2014.7065070","DOIUrl":"https://doi.org/10.1109/ITAIC.2014.7065070","url":null,"abstract":"Military network is believed to be a complex system, which is composed of several entity nodes, physical or logic relationships and flows. Our research focuses on the needs for modeling such network. After analyzing the properties of network, hyper network modeling method was naturally used to express the military network from quantitative view. First, several layers called social task layer, command control layer and physical resource layer are set up in this model and the relationship and interaction between network is normalized through the formalization description. Then, by combining hyper-network with MAS(multi-agent system), a hyper network agent model method was proposed. Which at the micro level, the network properties were extended into entity properties; and at the macro level, the evolution behavior of overall network was taken into account? The model regulates and reflects the interaction and dynamics of network with combination of emerge behavior brought from entity relationship, and driving efficiency caused by overall network characteristic. Lastly, key technologies of model are discussed. The testing bed made by this model provides a new tool for military organization design.","PeriodicalId":111584,"journal":{"name":"2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114493966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Welding line detection based on image for automatic welding machine 基于图像的自动焊机焊缝检测

2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference Pub Date : 2014-12-01 DOI: 10.1109/ITAIC.2014.7065014

Guangyuan Zhang, Zhengfang Zhu, Guannan Si, Xiaolin Wei

引用次数: 4

Modeling and performance analysis of scheduling system for cloud service based on stochastic network calculus 基于随机网络演算的云服务调度系统建模与性能分析

2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference Pub Date : 2014-12-01 DOI: 10.1109/ITAIC.2014.7065095

Yan-bing Liu, L. Lang

引用次数: 1

An implementation of generic augmented reality in mobile devices 移动设备中通用增强现实的实现

2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference Pub Date : 2014-12-01 DOI: 10.1109/ITAIC.2014.7065112

Qingfeng Zhang, Weilong Chu, Changhong Ji, Chengyuan Ke, Yamei Li

引用次数: 3

A new outlier detection algorithm and its application in intelligent transportation system 一种新的离群点检测算法及其在智能交通系统中的应用

2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference Pub Date : 2014-12-01 DOI: 10.1109/ITAIC.2014.7065088

Gao Lin, Liu Xin, Han Feng, Liu Ying

引用次数: 7

Fixed neighborhood sphere and pattern selection in SVDD SVDD中的固定邻域球与模式选择

2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference Pub Date : 2014-12-01 DOI: 10.1109/ITAIC.2014.7065065

Dongyin Pan

{"title":"Fixed neighborhood sphere and pattern selection in SVDD","authors":"Dongyin Pan","doi":"10.1109/ITAIC.2014.7065065","DOIUrl":"https://doi.org/10.1109/ITAIC.2014.7065065","url":null,"abstract":"For the problem of a large dataset, we need to select a subset to represent the original dataset. Many scholars do pattern selection from the problem of the kNN (k-nearest neighbors). The distribution of a pattern's neighbors is usually uneven. In this paper, we define a fixed neighborhood sphere. When the pattern locates near the boundary of the data distribution, there will be fewer neighbors in the neighborhood sphere and when the pattern locates within the data distribution, there will be more neighbors in the neighborhood sphere. According to gather the statistic of the neighbors in a fixed neighborhood sphere, we can find those patterns locating near the boundary of the data distribution. In SVDD (Support Vector Data Description), those patterns are locating near the boundary of the data distribution have more information. They are those patterns which would be support vectors. We can use FNSPS (fixed neighborhood sphere pattern selection) algorithm to select those patterns, which locate near the boundary of the data distribution. The experimental results show that the performance of the SVDD will not go bad. The time complexity of the naive identifying the neighbors in the fixed neighborhood sphere is O(n2). And the time complexity of the SVDD is O(n3). If we set a lower threshold, the FNSPS algorithm can also be used to remove the noise in the targets.","PeriodicalId":111584,"journal":{"name":"2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132563187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

One intelligent algorithm for estimation of TDOA and FDOA 一种估计TDOA和FDOA的智能算法

2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference Pub Date : 2014-12-01 DOI: 10.1109/ITAIC.2014.7065099

Zhiyu Lu, Jian Hui Wang, Da Wang, Yue Wang

引用次数: 1