发布求助
文献互助 智能选刊 最新文献

2010 Third International Conference on Intelligent Networks and Intelligent Systems最新文献

筛选
英文 中文
Using Naive Bayes with AdaBoost to Enhance Network Anomaly Intrusion Detection 利用朴素贝叶斯和AdaBoost增强网络异常入侵检测
2010 Third International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2010-11-01 DOI: 10.1109/ICINIS.2010.133
Wei Li, Qingxia Li
{"title":"Using Naive Bayes with AdaBoost to Enhance Network Anomaly Intrusion Detection","authors":"Wei Li, Qingxia Li","doi":"10.1109/ICINIS.2010.133","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.133","url":null,"abstract":"Classical intrusion detection system tends to identify attacks by using a set of rules known as signatures defined before the attack, this kind of detection is known as misuse intrusion detection. But reality is not always quantifiable, and this drives us to a new intrusion detection technique known as anomaly intrusion detection, due to the difficulties of defining normal pattern for random data frames, anomaly detection suffer from false positives, where normal traffic behavior is mistaken and classified as an attack and cause a great deal of manpower to manual sort the attacks. In this paper we construct a network based anomaly intrusion detection system using naive Bayes as weak learners enhanced with AdaBoost (Adaptive Boosing machine learning algorithm), experiment using KDD ’99 cup data proved that our IDS can achieve extremely low False Positive and has acceptable detection rate.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"4 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129503405","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: 30
Research on Fuzzy Consistent Matrix Generation Method Based on Entropy 基于熵的模糊一致矩阵生成方法研究
2010 Third International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2010-11-01 DOI: 10.1109/ICINIS.2010.52
Zhiguo Liu, Deyu Zhang
{"title":"Research on Fuzzy Consistent Matrix Generation Method Based on Entropy","authors":"Zhiguo Liu, Deyu Zhang","doi":"10.1109/ICINIS.2010.52","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.52","url":null,"abstract":"Analytical hierarchy process is widely used in the system assessment. While a large number of operations need to be carried out to determine the consistency of comparison matrix. And when the comparison matrix is inconsistent, which should also be regulated and reduces the quality and efficiency of the assessment. In this essay, fuzzy consistent matrix which is verified using experimental data is adopted instead of comparison matrix. The fuzzy consistent matrix is in better consistent. So that it is applied in practical problem such as system performance assessment.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126202086","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
Fault Diagnosis Based on K-Means Clustering and PNN 基于k均值聚类和PNN的故障诊断
2010 Third International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2010-11-01 DOI: 10.1109/ICINIS.2010.169
Dongsheng Wu, Qing Yang, Feng Tian, Dongxu Zhang
{"title":"Fault Diagnosis Based on K-Means Clustering and PNN","authors":"Dongsheng Wu, Qing Yang, Feng Tian, Dongxu Zhang","doi":"10.1109/ICINIS.2010.169","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.169","url":null,"abstract":"This paper presents the development of an algorithm based on K-Means clustering and probabilistic neural network (PNN) for classifying the industrial system faults. The proposed technique consists of a preprocessing unit based on K-Means clustering and probabilistic neural network (PNN). Given a set of data points, firstly the K-Means algorithm is used to obtain K-temporary clusters, and then PNN is used to diagnose faults. To validate the performance and effectiveness of the proposed scheme, K-Means and PNN are applied to diagnose the faults in TE Process. Simulation studies show that the proposed algorithm not only provides an accepted degree of accuracy in fault classification under different fault conditions and the result is also reliable.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121488127","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: 12
The Research and Application of Image Recognition Based on Improved BP Algorithm 基于改进BP算法的图像识别研究与应用
2010 Third International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2010-11-01 DOI: 10.1109/ICINIS.2010.144
G. Wei, Liu Piyan, Zhao Hai, Mei Zhan
{"title":"The Research and Application of Image Recognition Based on Improved BP Algorithm","authors":"G. Wei, Liu Piyan, Zhao Hai, Mei Zhan","doi":"10.1109/ICINIS.2010.144","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.144","url":null,"abstract":"Neural network has self-learning and adaptive ability, and has strong fault tolerance and robustness, so it has a broad applications in the pattern recognition. In this paper, we adopt an improved BP algorithm - Flexible BP algorithm (RPROP) in the image recogntion, and we used it to simulate the image recognition in this field of pattern recognition application . The results of the expriments show that this method can better overcome the shortcoming that use the BP algorithm trained the network, which may fall into the local minimum values, and the method has better improvement in the convergence precision and identification speed.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123310314","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: 4
Research on Production Agent Modeling Based on MAS 基于MAS的生产代理建模研究
2010 Third International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2010-11-01 DOI: 10.1109/ICINIS.2010.80
Li He, Yongxian Liu, Kelong Zhang
{"title":"Research on Production Agent Modeling Based on MAS","authors":"Li He, Yongxian Liu, Kelong Zhang","doi":"10.1109/ICINIS.2010.80","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.80","url":null,"abstract":"Firstly, the concept of Multi-Agent System (MAS) was described. And then introduced the whole management modeling based on MAS, which can realized the information transmission and share instantly via Order Agent (OA), Manager Agent (MA), Production Agent (PA) and Service Agent (SA). PA is also built on MAS and it includes two agents, Task Agent (TA) and Resource Agent (RA). It has been found that this modeling can improve the working flow and production efficiency and shorten the time of delivery.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131526815","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
Real-time Implementation of Vector Hilbert-Huang Transform 矢量Hilbert-Huang变换的实时实现
2010 Third International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2010-11-01 DOI: 10.1109/ICINIS.2010.174
Zheng Zhu, Yilin Wang, Ping Cai
{"title":"Real-time Implementation of Vector Hilbert-Huang Transform","authors":"Zheng Zhu, Yilin Wang, Ping Cai","doi":"10.1109/ICINIS.2010.174","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.174","url":null,"abstract":"Hilbert-Huang Transform (HHT) is a kind of signal analysis method proposed by Huang in the late 20th century. The combination of HHT and vector signal processing is called vector HHT. To solve the problem of too much computational cost in the real-time implementation of vector HHT, this paper makes some improvement on vector HHT for real-time operation, including the improvement on sifting method, curve fitting, treatment of boundary and stop condition. Both performance and operation speed are considered in the improvement. The improved algorithm has much less computational cost, with performance basically remaining unchanged. A parallel signal processing system composed of multiple chips digital signal processor (DSP) is designed, in which vector HHT is implemented real time. The result obtained from the parallel signal processing system shows that the system met the need of data real time processing, and has good performance.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116927725","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: 5
On a Clustering Method for Handwritten Digit Recognition 手写体数字识别的聚类方法研究
2010 Third International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2010-11-01 DOI: 10.1109/ICINIS.2010.130
Ye Xu, Wei Zhang
{"title":"On a Clustering Method for Handwritten Digit Recognition","authors":"Ye Xu, Wei Zhang","doi":"10.1109/ICINIS.2010.130","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.130","url":null,"abstract":"In this paper, a clustering method for handwritten digit recognition is studied. The digit samples, firstly are processed and features are extracted. Based on these features, a clustering method is designed and implemented to cluster the digit samples. Experiments finally show that the clustering method is efficient in handwritten digit recognition.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115436959","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: 5
Reseach on the Self-Similarity of Multi-probabilty Ditribution Based on ON-OFF Models in AOS Multiplexing 基于on - off模型的AOS复用多概率分布自相似性研究
2010 Third International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2010-11-01 DOI: 10.1109/ICINIS.2010.83
Yuntao Zhao, Chengsheng Pan, Ye Tian, Mingxue Bi
{"title":"Reseach on the Self-Similarity of Multi-probabilty Ditribution Based on ON-OFF Models in AOS Multiplexing","authors":"Yuntao Zhao, Chengsheng Pan, Ye Tian, Mingxue Bi","doi":"10.1109/ICINIS.2010.83","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.83","url":null,"abstract":"Pareto on-off models were widely adopted to simulate and construct network traffic with self-similar characteristic. In this paper, a new Pareto-Poisson model was proposed based on AOS multiplexing. And the new model can produce self-similarity network traffic with adjustable H parameter. In the R/S test algorithm, the new self-similar represents well the self-similar characteristic.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124862378","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
Stabilization of Quantized Feedback Control Systems with Communication Constraints 具有通信约束的量化反馈控制系统的镇定
2010 Third International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2010-11-01 DOI: 10.1109/ICINIS.2010.60
Qingquan Liu, F. Jin
{"title":"Stabilization of Quantized Feedback Control Systems with Communication Constraints","authors":"Qingquan Liu, F. Jin","doi":"10.1109/ICINIS.2010.60","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.60","url":null,"abstract":"This paper addresses the problem of stabilizing discrete-time linear systems with quantized state feedback control, where sensors, controllers and plants are connected by noisy communication channels. The approach to be proposed here is to implement dynamic uniform quantizers and dynamic state feedback controllers. The case with disturbance inputs is argued. It is derived that based on the policy, the dynamic state feedback controller can stabilize the unstable plant. Simulation results show the validity of the proposed quantization policy.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129128177","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
The Research of Acquiring TDDM-BOC Signal Base on Sub-sampling 基于子采样的TDDM-BOC信号采集研究
2010 Third International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2010-11-01 DOI: 10.1109/ICINIS.2010.109
Bo Qian, B. Dong, Ren Li, S. Sun
{"title":"The Research of Acquiring TDDM-BOC Signal Base on Sub-sampling","authors":"Bo Qian, B. Dong, Ren Li, S. Sun","doi":"10.1109/ICINIS.2010.109","DOIUrl":"https://doi.org/10.1109/ICINIS.2010.109","url":null,"abstract":"TDDM-BOC modulation signal is realized to overlap with different signals in the same frequency and has the better anti-jamming ability, because of the unique character of split spectrum and auto-correlation multi-peak. According to the auto-correlation character of TDDM-BOC modulation signal, an algorithm is proposed for direct acquiring TDDM-BOC signal based on sub-sampling. With decreasing Signal-to-Noise, the algorithm is simulated and its performance is analyzed. The validity of the algorithm with the lower SNR is proved by simulation result under band-pass sub-sampling. The number of computing data is much less, because of the lower sampling frequency.","PeriodicalId":319379,"journal":{"name":"2010 Third International Conference on Intelligent Networks and Intelligent Systems","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128816461","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
首页 上一页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信