Pub Date : 2012-05-29DOI: 10.1109/FSKD.2012.6233943
Jie Wang, Yu Zeng
The promotion of multi-core server platform and the popularity of cloud computing applications, making the number of applications for the Ethernet port is also rapid growth in demand. By traditional way to use VMM soft-switch realization multiple virtual machines on a shared network devices brings a series of problems such as significantly increase network packet processing time, decrease network throughput and, increase CPU load etc. Based on I/O hardware virtualization, multiple descriptor queues, receive-side scaling, network packets routing mechanism and other key technologies, this paper describes the design and implementation of a cloud computing-oriented virtual 10-Gigabit NIC. In this NIC, mapping between multiple virtual device queues and multiple CPU cores use queue as the data exchange unit rather than package, by this way we can improve the throughput greatly compared with ordinary NIC.
{"title":"Design and implementation of a cloud computing-oriented virtual 10-Gigabit NIC","authors":"Jie Wang, Yu Zeng","doi":"10.1109/FSKD.2012.6233943","DOIUrl":"https://doi.org/10.1109/FSKD.2012.6233943","url":null,"abstract":"The promotion of multi-core server platform and the popularity of cloud computing applications, making the number of applications for the Ethernet port is also rapid growth in demand. By traditional way to use VMM soft-switch realization multiple virtual machines on a shared network devices brings a series of problems such as significantly increase network packet processing time, decrease network throughput and, increase CPU load etc. Based on I/O hardware virtualization, multiple descriptor queues, receive-side scaling, network packets routing mechanism and other key technologies, this paper describes the design and implementation of a cloud computing-oriented virtual 10-Gigabit NIC. In this NIC, mapping between multiple virtual device queues and multiple CPU cores use queue as the data exchange unit rather than package, by this way we can improve the throughput greatly compared with ordinary NIC.","PeriodicalId":337941,"journal":{"name":"International Conference on Fuzzy Systems and Knowledge Discovery","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127361776","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}
Pub Date : 2012-05-29DOI: 10.1109/FSKD.2012.6233857
Hua-jin Wang, Chenfu Yi
Most existing techniques work on hiding association rules in Boolean data. Based on analyzing fuzzy correlation, we have introduced a new scheme for privacy-preservation in fuzzy association rules mining, named PPM-Scheme, which is able to achieve complete hiding of sensitive rules mined in quantitative data by using improved technique in which we replace the highest value of fuzzy item with zero. Experimental results show that the proposed scheme hides more sensitive rules with minimum number of modifications and maintains quality of the released data than those previous techniques.
{"title":"Privacy-preservation association rules mining based on fuzzy correlation","authors":"Hua-jin Wang, Chenfu Yi","doi":"10.1109/FSKD.2012.6233857","DOIUrl":"https://doi.org/10.1109/FSKD.2012.6233857","url":null,"abstract":"Most existing techniques work on hiding association rules in Boolean data. Based on analyzing fuzzy correlation, we have introduced a new scheme for privacy-preservation in fuzzy association rules mining, named PPM-Scheme, which is able to achieve complete hiding of sensitive rules mined in quantitative data by using improved technique in which we replace the highest value of fuzzy item with zero. Experimental results show that the proposed scheme hides more sensitive rules with minimum number of modifications and maintains quality of the released data than those previous techniques.","PeriodicalId":337941,"journal":{"name":"International Conference on Fuzzy Systems and Knowledge Discovery","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129292348","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}
Pub Date : 2012-05-29DOI: 10.1109/FSKD.2012.6233807
Yongzhi Chen, Yonghua Yu, Zhangming Peng
Early fault detection for marine diesel engines is very important to ensure reliable operation throughout the course of their service. An early fault detection method is introduced in this paper based on the thermal parameters, and a fault predication system for marine diesel engine is developed based on abnormal data mining technology, which acquires the thermal parameters of the diesel engine from the local safety, alarm and control system through field bus, manages the data by database, and predicts the operation condition through statistic and data miming technology. It is found that the abnormal data mining is effective to fault detection at the early stage.
{"title":"The application of data mining for marine diesel engine fault detection","authors":"Yongzhi Chen, Yonghua Yu, Zhangming Peng","doi":"10.1109/FSKD.2012.6233807","DOIUrl":"https://doi.org/10.1109/FSKD.2012.6233807","url":null,"abstract":"Early fault detection for marine diesel engines is very important to ensure reliable operation throughout the course of their service. An early fault detection method is introduced in this paper based on the thermal parameters, and a fault predication system for marine diesel engine is developed based on abnormal data mining technology, which acquires the thermal parameters of the diesel engine from the local safety, alarm and control system through field bus, manages the data by database, and predicts the operation condition through statistic and data miming technology. It is found that the abnormal data mining is effective to fault detection at the early stage.","PeriodicalId":337941,"journal":{"name":"International Conference on Fuzzy Systems and Knowledge Discovery","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130674500","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}
Pub Date : 2012-05-29DOI: 10.1109/FSKD.2012.6234308
Shaobo Du, Shibao Sun
With the continuing development of Radio Frequency Identification Technology, RFID has been used more and more widely. Face the problem of parking fee management chaos and the totally operation inefficient in great majority parking lot. The frame structure of the intelligent parking system is put forward according to the characteristics of the management of the parking lot. The whole scheme and function of the intelligent parking system are analized in detailed. This approach realizes intelligent management of parking lot.
{"title":"The research and design of intellectual parking system based on RFID","authors":"Shaobo Du, Shibao Sun","doi":"10.1109/FSKD.2012.6234308","DOIUrl":"https://doi.org/10.1109/FSKD.2012.6234308","url":null,"abstract":"With the continuing development of Radio Frequency Identification Technology, RFID has been used more and more widely. Face the problem of parking fee management chaos and the totally operation inefficient in great majority parking lot. The frame structure of the intelligent parking system is put forward according to the characteristics of the management of the parking lot. The whole scheme and function of the intelligent parking system are analized in detailed. This approach realizes intelligent management of parking lot.","PeriodicalId":337941,"journal":{"name":"International Conference on Fuzzy Systems and Knowledge Discovery","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127863606","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}
Pub Date : 2012-05-29DOI: 10.1109/FSKD.2012.6234004
Qiaogao Huang, Hai-bao Hu, G. Pan, Baowei Song
Based on the flow field mathematical model of superhydrophobic surfaces, the numerical simulation of superhydrophobic surfaces with microcosmic topography in turbulence was carried out. The flow field characteristics of superhydrophobic surfaces were analyzed from the flow field structure, the shear stress distribution, the velocity distribution of gas-liquid interface and the turbulent kinetic energy distribution. The results show that the superhydrophobic surfaces' microcosmic topography has a significant effect on the near-wall flow field, the shear stress of gas-liquid interface is almost zero, the apparent slip flow appears and the turbulent fluctuation is largely suppressed, which is perhaps the inner drag reduction mechanism of superhydrophobic surfaces.
{"title":"The numerical simulation of superhydrophobic surface's flow field characteristic","authors":"Qiaogao Huang, Hai-bao Hu, G. Pan, Baowei Song","doi":"10.1109/FSKD.2012.6234004","DOIUrl":"https://doi.org/10.1109/FSKD.2012.6234004","url":null,"abstract":"Based on the flow field mathematical model of superhydrophobic surfaces, the numerical simulation of superhydrophobic surfaces with microcosmic topography in turbulence was carried out. The flow field characteristics of superhydrophobic surfaces were analyzed from the flow field structure, the shear stress distribution, the velocity distribution of gas-liquid interface and the turbulent kinetic energy distribution. The results show that the superhydrophobic surfaces' microcosmic topography has a significant effect on the near-wall flow field, the shear stress of gas-liquid interface is almost zero, the apparent slip flow appears and the turbulent fluctuation is largely suppressed, which is perhaps the inner drag reduction mechanism of superhydrophobic surfaces.","PeriodicalId":337941,"journal":{"name":"International Conference on Fuzzy Systems and Knowledge Discovery","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116595304","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}
Pub Date : 2012-05-29DOI: 10.1109/FSKD.2012.6233848
Yang Xiang, P. Yu, Xiao Chen, Xu Zhang, Rui Tang
Geophysical inversion is ill-posed. We can get a stable result not only from high resolution observed data, but also using the regularization methods to add stabilizing functional to increase the stability of the solution. The conjugate gradient method is used in Occam's inversion to improve the efficiency of inversion operator. By establishing a layered electric model, we use L-curve, GCV (Generalized Cross Validation) and UPRE (Unbiased Predictive Risk Estimator) to select the optimal regularized parameter. Through analyzing the characteristic of each ways, L-curve method is very stable and the result is appreciable, the result of GCV or UPRE is also well and tends to overfit the data slightly.
{"title":"A Comparison of different methods for choosing regularization parameter in regularized MT inversion","authors":"Yang Xiang, P. Yu, Xiao Chen, Xu Zhang, Rui Tang","doi":"10.1109/FSKD.2012.6233848","DOIUrl":"https://doi.org/10.1109/FSKD.2012.6233848","url":null,"abstract":"Geophysical inversion is ill-posed. We can get a stable result not only from high resolution observed data, but also using the regularization methods to add stabilizing functional to increase the stability of the solution. The conjugate gradient method is used in Occam's inversion to improve the efficiency of inversion operator. By establishing a layered electric model, we use L-curve, GCV (Generalized Cross Validation) and UPRE (Unbiased Predictive Risk Estimator) to select the optimal regularized parameter. Through analyzing the characteristic of each ways, L-curve method is very stable and the result is appreciable, the result of GCV or UPRE is also well and tends to overfit the data slightly.","PeriodicalId":337941,"journal":{"name":"International Conference on Fuzzy Systems and Knowledge Discovery","volume":"06 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131119470","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}
Pub Date : 2012-05-29DOI: 10.1109/FSKD.2012.6234255
Yue Zhao, Songzheng Zhao
Oil-gas production cost, as an important indicator which reflects the economic benefit of oilfield enterprise, plays a significant role to analyze the economic feasibility. Following taking the characteristics of original GM(1,1) model into account, determinants concerning fitting precision and prediction precision that belong to the original GM(1,1) are identified. Optimization background value GM(1,1) model is proposed to predict oil-gas production cost. Through comparing with the original GM(1,1) model in terms of fitting precision and prediction precision, the results exhibit that the optimization background value GM(1,1) model has the automated optimization background value capability and may ensure the excellent adaptability.
{"title":"Optimization background value GM(1, 1) model for predicting oil-gas production cost","authors":"Yue Zhao, Songzheng Zhao","doi":"10.1109/FSKD.2012.6234255","DOIUrl":"https://doi.org/10.1109/FSKD.2012.6234255","url":null,"abstract":"Oil-gas production cost, as an important indicator which reflects the economic benefit of oilfield enterprise, plays a significant role to analyze the economic feasibility. Following taking the characteristics of original GM(1,1) model into account, determinants concerning fitting precision and prediction precision that belong to the original GM(1,1) are identified. Optimization background value GM(1,1) model is proposed to predict oil-gas production cost. Through comparing with the original GM(1,1) model in terms of fitting precision and prediction precision, the results exhibit that the optimization background value GM(1,1) model has the automated optimization background value capability and may ensure the excellent adaptability.","PeriodicalId":337941,"journal":{"name":"International Conference on Fuzzy Systems and Knowledge Discovery","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121770210","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}
Pub Date : 2012-05-29DOI: 10.1109/FSKD.2012.6234144
Fei Zhou, Luoyi Wang, Xin-yue Fan
To get a high precision of TOA estimation for the location based services (LBS) in OFDM wireless network, beam-space MUSIC algorithm is used in multi-path channels. Meanwhile, in order to improve anti-noise performance, a modified algorithm based on Teager-Kaiser (TK) operator is proposed. Due to subchip resolution capability and sensitive to the change of data's amplitude, TK operator processes the cross-correlation function firstly. Then the TOA is estimated by beam-space MUSIC algorithm. Stimulation results show that the noise mitigation of proposed algorithm has been improved. It could estimate the TOA accurately in lower SNR environment. The distinguish probability is more robust. The performance of high-resolution estimation has been improved.
{"title":"An improving beam-space MUSIC time delay estimation algorithm for OFDM signal","authors":"Fei Zhou, Luoyi Wang, Xin-yue Fan","doi":"10.1109/FSKD.2012.6234144","DOIUrl":"https://doi.org/10.1109/FSKD.2012.6234144","url":null,"abstract":"To get a high precision of TOA estimation for the location based services (LBS) in OFDM wireless network, beam-space MUSIC algorithm is used in multi-path channels. Meanwhile, in order to improve anti-noise performance, a modified algorithm based on Teager-Kaiser (TK) operator is proposed. Due to subchip resolution capability and sensitive to the change of data's amplitude, TK operator processes the cross-correlation function firstly. Then the TOA is estimated by beam-space MUSIC algorithm. Stimulation results show that the noise mitigation of proposed algorithm has been improved. It could estimate the TOA accurately in lower SNR environment. The distinguish probability is more robust. The performance of high-resolution estimation has been improved.","PeriodicalId":337941,"journal":{"name":"International Conference on Fuzzy Systems and Knowledge Discovery","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127710641","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}
The general knowledge of English pronunciation and intonation are introduced to explore the ways to improve the domestic English learners' pronunciation and intonation. Besides, it is used to help learners handle the speech prosody better, especially in sentence stress and rhythm. An objective evaluation system of English sentences was established, which extracts the energy characteristics, marks the stressed syllables, and evaluates the test sentence by using the improved PVI (Pairwise Variability Index).
{"title":"Based on improved PVI objective evaluation system of English sentences","authors":"Fan-quan Fang, Xin-guang Li, Su-mei Li, Dongxiong Shen, Si-hua Shao","doi":"10.1109/FSKD.2012.6233902","DOIUrl":"https://doi.org/10.1109/FSKD.2012.6233902","url":null,"abstract":"The general knowledge of English pronunciation and intonation are introduced to explore the ways to improve the domestic English learners' pronunciation and intonation. Besides, it is used to help learners handle the speech prosody better, especially in sentence stress and rhythm. An objective evaluation system of English sentences was established, which extracts the energy characteristics, marks the stressed syllables, and evaluates the test sentence by using the improved PVI (Pairwise Variability Index).","PeriodicalId":337941,"journal":{"name":"International Conference on Fuzzy Systems and Knowledge Discovery","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122161587","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}
Pub Date : 2012-05-29DOI: 10.1109/FSKD.2012.6233769
Jie Guo, Qian Xu, Jingnan Zhang, Shengjing Tang
Considering the coupling problem which is adverse to the control performance of rolling aircraft system, a dynamic decoupling method is proposed combining the feedforward compensation decoupling method and the adaptive neuro-fuzzy inference system. First, the decoupling compensation principle is deduced under the feedforward decoupling framework. And then, the adaptive neuro-fuzzy inference system based on Takagi-Sugeno model is adopted to approximate the decoupling compensation principle. At last, the trained adaptive neuro-fuzzy inference system is used as the dynamic decoupling compensator in series form. A design example of actuator link in rolling aircraft is employed to verify the validity of this method. The simulation results indicate that this method can obtain good decoupling performance in both dynamic and steady responses when it is incapable to get the accurate system model.
{"title":"Decoupling design of rolling aircraft using adaptive neuro-fuzzy inference systems based on T-S model","authors":"Jie Guo, Qian Xu, Jingnan Zhang, Shengjing Tang","doi":"10.1109/FSKD.2012.6233769","DOIUrl":"https://doi.org/10.1109/FSKD.2012.6233769","url":null,"abstract":"Considering the coupling problem which is adverse to the control performance of rolling aircraft system, a dynamic decoupling method is proposed combining the feedforward compensation decoupling method and the adaptive neuro-fuzzy inference system. First, the decoupling compensation principle is deduced under the feedforward decoupling framework. And then, the adaptive neuro-fuzzy inference system based on Takagi-Sugeno model is adopted to approximate the decoupling compensation principle. At last, the trained adaptive neuro-fuzzy inference system is used as the dynamic decoupling compensator in series form. A design example of actuator link in rolling aircraft is employed to verify the validity of this method. The simulation results indicate that this method can obtain good decoupling performance in both dynamic and steady responses when it is incapable to get the accurate system model.","PeriodicalId":337941,"journal":{"name":"International Conference on Fuzzy Systems and Knowledge Discovery","volume":"237 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115843962","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}
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