发布求助
文献互助 智能选刊 最新文献

2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)最新文献

筛选
英文 中文
An applicaton of the extented Kalman filter in servo motors of medical equipments 扩展卡尔曼滤波在医疗设备伺服电机中的应用
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816354
Yingjian Yang, Yan Xing, Xu Wang, Dan Yang
{"title":"An applicaton of the extented Kalman filter in servo motors of medical equipments","authors":"Yingjian Yang, Yan Xing, Xu Wang, Dan Yang","doi":"10.1109/FSKD.2013.6816354","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816354","url":null,"abstract":"Servo motors have been widely used in medical equipment, but servo motors have the large torque and flux linkage ripple in the conventional direct torque control (DTC). The stator flux linkage estimation in the conventional DTC also needs the integration of the back electromotive force (back-emf), and is largely affected by the value of the stator resistance. The application of the extended Kalman filter (EKF) in the aspect of estimating stator flux linkage is studied in this paper, reducing the torque and flux linkage ripple and eliminating the integration of the back-emf. The simulation results indicate that the proposed method not only does well in the speed, the rotor position and the stator flux linkage estimation, but also is robust to the stator resistance.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129498047","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
Application on the rate of lightning trip based on the grey model 灰色模型在雷击率分析中的应用
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816245
Hua Li, Xu-Dong Sun, Ling-ling Li, Fan Wu
{"title":"Application on the rate of lightning trip based on the grey model","authors":"Hua Li, Xu-Dong Sun, Ling-ling Li, Fan Wu","doi":"10.1109/FSKD.2013.6816245","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816245","url":null,"abstract":"Trip-out rate plays a very important role in the research of stable operation of power system, so trip-out rate forecast has become an urgent problem. combining with the characteristics of the grey theory, a catastrophe prediction model about trip-out rate was set up based on the original data. A trip-out rate threshold was established and the data exceeding it was considered abnormal. The time when the trip-out rate would appear abnormal was predicted through the original data and the model. The exception value was accurately predicted by one instance at last. It proves the validity of the prediction method. From another perspective, the gray model can improve the power supply reliability.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125069559","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
A reconstruction method of the design rationale model based on design context 一种基于设计上下文的设计原理模型重构方法
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816247
Jihong Liu, H. Zhan
{"title":"A reconstruction method of the design rationale model based on design context","authors":"Jihong Liu, H. Zhan","doi":"10.1109/FSKD.2013.6816247","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816247","url":null,"abstract":"Design rationale (DR) explains the product design decision-making process and the reason behind the decision. Capturing and reusing of the DR plays an important role in design thinking guidance and decision support. In order to clearly reflect the essential characteristics of design activities such as design iteration and design evolution in design process, a reconstruction method of the DR model is proposed based on design context. The limitations of the existing DR models in the expression of evolution information and knowledge reuse support are illustrated. And the concept of design context is put forward and two new DR element interaction relationships are defined to reconstruct FGDR model to eliminate redundant information. So the method contributes to optimize the DR model in its knowledge expression form and knowledge expression ability. This can further strengthen the DR model's support to design reuse. A prototype system is developed for DR modeling and reconstruction. Partial design process of the POGO mechanical system design is taken as an example to validate the feasibility and validity of the proposed method.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115924746","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: 3
An efficient projected partition algorithm based on the order among genes 一种基于基因排序的高效投影分割算法
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816286
Zesheng Sun, Yuhai Zhao, D. Meng, He Pan
{"title":"An efficient projected partition algorithm based on the order among genes","authors":"Zesheng Sun, Yuhai Zhao, D. Meng, He Pan","doi":"10.1109/FSKD.2013.6816286","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816286","url":null,"abstract":"Most existing methods perform the projected partition over gene expression data based on the untrue assumption of independence among genes. To address the problem, we propose two novel projected partition algorithms, PPA and PPA+. The basic idea of PPA is to take the order among genes as the criterion of phenotype structure discovery. Specially, in PPA, no any specific data distribution assumption is needed. By transforming the expression values into sequential data, PPA employs the branch and bound paradigm to conduct an efficient depth-first traverse over the sample enumeration space, where a user-specific favorite function is developed. Further, based on the hill-climbing strategy and the devised evaluation function, two different strategies are proposed to make the results satisfy different customer-requirements. Efficient pruning and optimization strategies are also devised to further improve the performance of the algorithms. We conducted the performance comparison of PPA and some related alternatives on five real Microarray datasets. The results show that PPA is more effective and efficient. More important, PPA may provide a fire-new insight into the pathogenesis problem.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121296748","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
Operand stack dependence based Java static software birthmark 基于操作数栈依赖的Java静态软件胎记
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816359
Yong Wang, Fenlin Liu, Zheng Zhao, Bin Lu, Xin Xie
{"title":"Operand stack dependence based Java static software birthmark","authors":"Yong Wang, Fenlin Liu, Zheng Zhao, Bin Lu, Xin Xie","doi":"10.1109/FSKD.2013.6816359","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816359","url":null,"abstract":"Due to the problem of semantic lost when extracting birthmark with k-gram algorithm, the operand stack dependence based static software birthmark is proposed in this paper. Before the birthmark extraction, the stack dependence bytecode fragments are got through analysis the stack dependence relation of stack behaviors in Java program. The birthmark is comprised of the stack dependence bytecode fragments and their occurrence frequencies in program. The experimental results show that the proposed birthmark has good credibility and robustness, and the performance is improved.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128817566","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: 6
Cost sensitive GPS-based activity recognition 基于成本敏感的gps活动识别
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816334
Wenhao Huang, Man Li, Weisong Hu, Guojie Song, Xingxing Xing, Kunqing Xie
{"title":"Cost sensitive GPS-based activity recognition","authors":"Wenhao Huang, Man Li, Weisong Hu, Guojie Song, Xingxing Xing, Kunqing Xie","doi":"10.1109/FSKD.2013.6816334","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816334","url":null,"abstract":"GPS-based activity recognition is extremely important for high-level analysis and location based services. Trajectories of people are highly imbalanced from spatial and temporal perspectives. Many existing researches achieve good results on recognizing activities with lots of GPS logs, such as working and staying at home. However, these approaches usually fail at activities with few trajectory records. In this paper, we propose a cost sensitive GPS-based activity recognition model to improve accuracy of minority activities which could imply users' personal preferences. The approach aims at providing more balanced results. We first propose a cost function to measure spatial and temporal regularities of each activity on a stay point. Then we incorporate cost function into activity recognition algorithm. We take hidden Markov model as an example in this study. Experiments show good performance of our approach in several evaluation metrics. It could provide more balanced and valuable activity recognition results from GPS trajectories.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129198762","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: 6
Dynamic competitive analysis for tourist volume of offshore islands in Taiwan 台湾近海岛屿旅游客流量动态竞争分析
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816335
S. Lo
{"title":"Dynamic competitive analysis for tourist volume of offshore islands in Taiwan","authors":"S. Lo","doi":"10.1109/FSKD.2013.6816335","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816335","url":null,"abstract":"The existing documentary and research emphasize on the tourism resource, tourist behavior, or continuity of natural resource of individual Taiwanese off-shore island. A dynamic macroscopic model is proposed to forecast tourist volume for three southern offshore islands in Taiwan. The model, which consists of three differential equations, is based on grey Lotka-Volterra model. In addition, five social-economic factors are considered to describe the external effects on tourism. According to the results, the model with gross domestic product (GDP) presents the best explanation and forecasting. The results are assessed by mean absolute percentage error (MAPE) and show good accuracy.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133751349","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: 3
A novel Fuzzy C Means algorithm based on distance modification for image segmentation 一种基于距离修正的模糊C均值算法用于图像分割
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816188
Naixiang Li, Peng Guo
{"title":"A novel Fuzzy C Means algorithm based on distance modification for image segmentation","authors":"Naixiang Li, Peng Guo","doi":"10.1109/FSKD.2013.6816188","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816188","url":null,"abstract":"A novel Fuzzy c Means(FCM) algorithm with modified distance computation is proposed in this paper. We modify the distance in FCM with the neighborhood information of cluster centers. The distance in FCM is composed of the Euclidean distance and a characteristic distance, and the characteristic distance is calculated with a pixel center window and tuned with a coefficient. The Gamma function is selected to generate coefficients in our works. Experimental results show high performance of our approach.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133516559","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
A prediction model for Yellow River break-up dates based on extenics data mining 基于可拓学数据挖掘的黄河决裂期预测模型
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816356
Zhong Li, Xinfang Chen, Ailing Wang, G. Yu
{"title":"A prediction model for Yellow River break-up dates based on extenics data mining","authors":"Zhong Li, Xinfang Chen, Ailing Wang, G. Yu","doi":"10.1109/FSKD.2013.6816356","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816356","url":null,"abstract":"To predict the break-up date of the Yellow River, this paper analyzes a couple of factors contributing to the break-up date of the Yellow River, creates a forecast evaluation index system and builds an extenics data mining-based break-up date prediction model. The practical calculation shows that the next year prediction error is 0 and below 5% in two years. The model is feasible to predict the break-up date of the Yellow River.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"210 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131515125","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: 1
An unsupervised possibilistic c-means clustering algorithm with data reduction 一种数据约简的无监督可能性c均值聚类算法
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Pub Date : 2013-07-23 DOI: 10.1109/FSKD.2013.6816161
Yating Hu, Fuheng Qu, Changji Wen
{"title":"An unsupervised possibilistic c-means clustering algorithm with data reduction","authors":"Yating Hu, Fuheng Qu, Changji Wen","doi":"10.1109/FSKD.2013.6816161","DOIUrl":"https://doi.org/10.1109/FSKD.2013.6816161","url":null,"abstract":"Because of using the possibilistic partition to describe the data set, possibilistic clustering algorithm is more robust to noises than hard and fuzzy clustering algorithms. But calculating the membership matrix also makes it has a low efficiency. Moreover, the performance of possibilistic clustering may be degreased if the cluster number is set wrongly. In this paper, we proposed a new possibilistic clustering algorithm named unsupervised possibilistic c-means clustering algorithm with data reduction (UPCMDR) to improve the efficiency of possibilistic c-means clustering algorithm (PCM). In UPCMDR, data reduction technique is introduced to speed up the process of estimation of the cluster centers. A new clustering algorithm called weighted possibilistic c-means clustering algorithm is proposed to estimate the positions of centers of PCM accurately. The contrast experimental results with conventional algorithms show that UPCMDR has a relatively high efficiency, and can execute unsupervised clustering task when combining with the generalized cluster validity index.","PeriodicalId":368964,"journal":{"name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132441300","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
首页 上一页 下一页 尾页
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