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}
Pub Date : 2012-05-29DOI: 10.1109/FSKD.2012.6234344
Kefei Cheng, Yanglei Cui
In this paper, the android system architecture and security mechanism are introduced briefly, and a network data collection program based on the android platform is proposed. In this program, the Libpcap function library based on BPF capture mechanism is packaged as dynamic library by JNI technology. At last, the functions of network data collection and real-time display are implemented on the android device, which is the foundation for the further network analysis.
{"title":"Design and implementation of network packets collection tools based on the android platform","authors":"Kefei Cheng, Yanglei Cui","doi":"10.1109/FSKD.2012.6234344","DOIUrl":"https://doi.org/10.1109/FSKD.2012.6234344","url":null,"abstract":"In this paper, the android system architecture and security mechanism are introduced briefly, and a network data collection program based on the android platform is proposed. In this program, the Libpcap function library based on BPF capture mechanism is packaged as dynamic library by JNI technology. At last, the functions of network data collection and real-time display are implemented on the android device, which is the foundation for the further network analysis.","PeriodicalId":337941,"journal":{"name":"International Conference on Fuzzy Systems and Knowledge Discovery","volume":"36 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":"114693385","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.2012.6234231
Xingwei Wang, Xueyi Wang, Min Huang
On account of the resource characteristics under cloud computing environment and the flexibility and availability of applying economic mechanism to resource allocation, a resource allocation model based on the limited English combinatorial auction under cloud computing environment is advanced. An improved periodical auction model is constructed, and then ribbon capacity is adopted to describe the special storage capacity for special users. Based on the above, the resource trading price between resource buyers and resource providers is determined based on the limited English combinatorial auction model. In the end, the optimal resource allocation solution is pursued based on genetic algorithm. Simulation results have shown that the proposed model is both feasible and effective, which can maximize the seller total trading amounts as well as reduce the executing time of winner determination.
{"title":"A resource allocation method based on the limited English combinatorial auction under cloud computing environment","authors":"Xingwei Wang, Xueyi Wang, Min Huang","doi":"10.1109/FSKD.2012.6234231","DOIUrl":"https://doi.org/10.1109/FSKD.2012.6234231","url":null,"abstract":"On account of the resource characteristics under cloud computing environment and the flexibility and availability of applying economic mechanism to resource allocation, a resource allocation model based on the limited English combinatorial auction under cloud computing environment is advanced. An improved periodical auction model is constructed, and then ribbon capacity is adopted to describe the special storage capacity for special users. Based on the above, the resource trading price between resource buyers and resource providers is determined based on the limited English combinatorial auction model. In the end, the optimal resource allocation solution is pursued based on genetic algorithm. Simulation results have shown that the proposed model is both feasible and effective, which can maximize the seller total trading amounts as well as reduce the executing time of winner determination.","PeriodicalId":337941,"journal":{"name":"International Conference on Fuzzy Systems and Knowledge Discovery","volume":"81 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":"114827204","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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