In cloud manufacturing environment, many manufacturing enterprises will produce massive data of a variety of forms. We do research of optimization parallel frequent pattern mining algorithm based on Mahout in this paper. We first analyze the implement and defects of PFP-Growth in Mahout. Then we propose two optimization strategies. One is parallel sequence optimization, and another is optimization the storage of counting information. Datasets from real manufacturing and Webdocs show the effectiveness of the strategy in time and space of the optimization.
{"title":"The Optimization of Parallel Frequent Pattern Growth Algorithm Based on Mahout in Cloud Manufacturing Environment","authors":"Jie Wang, Yu Zeng","doi":"10.1109/ISCID.2014.258","DOIUrl":"https://doi.org/10.1109/ISCID.2014.258","url":null,"abstract":"In cloud manufacturing environment, many manufacturing enterprises will produce massive data of a variety of forms. We do research of optimization parallel frequent pattern mining algorithm based on Mahout in this paper. We first analyze the implement and defects of PFP-Growth in Mahout. Then we propose two optimization strategies. One is parallel sequence optimization, and another is optimization the storage of counting information. Datasets from real manufacturing and Webdocs show the effectiveness of the strategy in time and space of the optimization.","PeriodicalId":385391,"journal":{"name":"2014 Seventh International Symposium on Computational Intelligence and Design","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127301251","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}
Dong An, M. Shao, Huaitao Shi, Zhe Yuan, Qingchen Pan
The actual project, many signals in the frequency components change over time, using the traditional Fourier transform for spectral analysis are very limited. Available for non-stationary signal analysis methods, such as the WVD, short-time Fourier transform, wavelet transform, there are also some problems. For example, the problems are cross-term in WVD method, the frequency resolution of short-time Fourier transform and select the appropriate wavelet in the wavelet transform. Jonathan S. Smith proposed a local mean decomposition (LMD) method on the empirical mode decomposition (EMD) algorithm, and first LMD applied in electroencephalogram (EEG) signal time-frequency analysis. LMD algorithm and EMD algorithm has the following differences: LMD uses the method of moving average instead of using cubic spline interpolation. As the final result of EMD decomposition is a series of IMF. And the end result of LMD decomposition is a series of AM-FM signal. Using inverse cosine function directly obtained the instantaneous frequency. Product function (PF) of LMD than IMF of EMD can save more frequency and envelope information. However, the signal change after LMD will produce some False PF component, especially has the low frequency of false weight. In this paper, based on the problem for False PF component in LMD, using of false component identification of the theory based on stepwise regression. PF component in the decomposition of the original signal a significant impact as a criterion, to identify and remove false weight. Through test the simulation signal and the actual voice signal, this improved method relative to the current method of the correlation coefficient by removing false weight has distinct advantages and reasonable.
实际工程中，许多信号中的频率成分随时间变化，使用传统的傅立叶变换进行频谱分析是非常有限的。可用来分析非平稳信号的方法，如WVD、短时傅里叶变换、小波变换等，也存在一些问题。例如，WVD方法中的交叉项问题、短时傅里叶变换的频率分辨问题以及小波变换中合适小波的选择问题。Jonathan S. Smith在经验模态分解(EMD)算法的基础上提出了局部均值分解(LMD)方法，并首次将LMD应用于脑电图(EEG)信号时频分析。LMD算法与EMD算法的不同之处在于:LMD采用的是移动平均法，而不是三次样条插值法。作为EMD分解的最终结果是一系列的IMF。LMD分解的最终结果是一系列的AM-FM信号。利用逆余弦函数直接得到瞬时频率。LMD的积函数(PF)比EMD的IMF能保存更多的频率和包络信息。然而，LMD后的信号变化会产生一些假PF分量，特别是具有低频率的假权。本文针对LMD中假PF分量的辨识问题，运用基于逐步回归的假分量辨识理论。以PF分量在分解中对原始信号的显著影响为准则，来识别和去除假权重。通过对仿真信号和实际语音信号的测试，这种改进的方法相对于目前通过去除假权来提取相关系数的方法具有明显的优势和合理性。
{"title":"LMD Method of False Identification Component Based on Stepwise Regression Analysis","authors":"Dong An, M. Shao, Huaitao Shi, Zhe Yuan, Qingchen Pan","doi":"10.1109/ISCID.2014.116","DOIUrl":"https://doi.org/10.1109/ISCID.2014.116","url":null,"abstract":"The actual project, many signals in the frequency components change over time, using the traditional Fourier transform for spectral analysis are very limited. Available for non-stationary signal analysis methods, such as the WVD, short-time Fourier transform, wavelet transform, there are also some problems. For example, the problems are cross-term in WVD method, the frequency resolution of short-time Fourier transform and select the appropriate wavelet in the wavelet transform. Jonathan S. Smith proposed a local mean decomposition (LMD) method on the empirical mode decomposition (EMD) algorithm, and first LMD applied in electroencephalogram (EEG) signal time-frequency analysis. LMD algorithm and EMD algorithm has the following differences: LMD uses the method of moving average instead of using cubic spline interpolation. As the final result of EMD decomposition is a series of IMF. And the end result of LMD decomposition is a series of AM-FM signal. Using inverse cosine function directly obtained the instantaneous frequency. Product function (PF) of LMD than IMF of EMD can save more frequency and envelope information. However, the signal change after LMD will produce some False PF component, especially has the low frequency of false weight. In this paper, based on the problem for False PF component in LMD, using of false component identification of the theory based on stepwise regression. PF component in the decomposition of the original signal a significant impact as a criterion, to identify and remove false weight. Through test the simulation signal and the actual voice signal, this improved method relative to the current method of the correlation coefficient by removing false weight has distinct advantages and reasonable.","PeriodicalId":385391,"journal":{"name":"2014 Seventh International Symposium on Computational Intelligence and Design","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116553412","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}
This article constructs a disease surveillance and decision-making system, and analyses of its working principle, system structure and function. Discussing the design of disease control and decision-making systems based on Web GIS and illustrating the characteristics and feasibility of the program.
{"title":"Design of Disease Control and Decision-Making System Based on WebGIS","authors":"Zhongwen Gao, M. Lang","doi":"10.1109/ISCID.2014.174","DOIUrl":"https://doi.org/10.1109/ISCID.2014.174","url":null,"abstract":"This article constructs a disease surveillance and decision-making system, and analyses of its working principle, system structure and function. Discussing the design of disease control and decision-making systems based on Web GIS and illustrating the characteristics and feasibility of the program.","PeriodicalId":385391,"journal":{"name":"2014 Seventh International Symposium on Computational Intelligence and Design","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117002858","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}
This paper proposes a scheme of bistatic SAR with three channels for ground moving targets detection. According to the characteristic of bistatic SAR, FrFT technique was chosen to focus the moving target and improve the signal to clutter ratio, while we suppress clutter and estimate the parameters of moving target with clutter suppression interferometer techniques. From the spatial geometry model and echo signal model of the system, the method of moving target parameters estimation was carried out. Computer simulation results validate ground moving targets detection can then be obtained by jointly processing algorithm.
{"title":"A New Method of Moving Targets Detection and Imaging for Bistatic SAR","authors":"Meng Qi, Zhulin Zong","doi":"10.1109/ISCID.2014.123","DOIUrl":"https://doi.org/10.1109/ISCID.2014.123","url":null,"abstract":"This paper proposes a scheme of bistatic SAR with three channels for ground moving targets detection. According to the characteristic of bistatic SAR, FrFT technique was chosen to focus the moving target and improve the signal to clutter ratio, while we suppress clutter and estimate the parameters of moving target with clutter suppression interferometer techniques. From the spatial geometry model and echo signal model of the system, the method of moving target parameters estimation was carried out. Computer simulation results validate ground moving targets detection can then be obtained by jointly processing algorithm.","PeriodicalId":385391,"journal":{"name":"2014 Seventh International Symposium on Computational Intelligence and Design","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131020102","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}
When using global features for 3D model retrieval, we ignore the local similarity of 3D model. To solve this problem, we propose a 3D model retrieval method based on local features. First, calculate the normal of each vertex, get the normal projection of each vertex and identify salient points according to the SURF feature of the projection. Extract the local feature around the salient points obtained, and use the local feature to update the global similarity. The experimental results show that this method can effectively improve the 3D model retrieval precision.
{"title":"The 3D Model Retrieval Based on Local Features","authors":"Lei Huo, Xueqiang Lv, Kai Zhang, Zhuo Li","doi":"10.1109/ISCID.2014.61","DOIUrl":"https://doi.org/10.1109/ISCID.2014.61","url":null,"abstract":"When using global features for 3D model retrieval, we ignore the local similarity of 3D model. To solve this problem, we propose a 3D model retrieval method based on local features. First, calculate the normal of each vertex, get the normal projection of each vertex and identify salient points according to the SURF feature of the projection. Extract the local feature around the salient points obtained, and use the local feature to update the global similarity. The experimental results show that this method can effectively improve the 3D model retrieval precision.","PeriodicalId":385391,"journal":{"name":"2014 Seventh International Symposium on Computational Intelligence and Design","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132469732","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}
Bistatic SAR (BiSAR) has the advantages of flexible platform configuration, the rich echo information and strong anti-jamming with the separate transmit-receive platform. Focusing bistatic SAR data in frequency domain requires two-dimensional (2D) point target spectrum. In the paper, the method of series reversion (MSR) is chosen to get the 2D spectrum, and then by the means of the Taylor series expansion of 2D spectrum phase along range direction and numerical approximation, an extended bistatic SAR imaging algorithm based on Chirp-Z transform (ECZA) is proposed, which is widely suitable for the flight configuration that the transmitter and receiver follow the parallel path with equal velocity. The imaging quality is compared with the traditional Chirp-Z algorithm (CZA), and the simulation results verify the 2D imaging ability of the proposed method.
{"title":"A New Method for Bistatic SAR Imaging Based on Chirp-Z Transform","authors":"Qian Zhang, Zhulin Zong","doi":"10.1109/ISCID.2014.264","DOIUrl":"https://doi.org/10.1109/ISCID.2014.264","url":null,"abstract":"Bistatic SAR (BiSAR) has the advantages of flexible platform configuration, the rich echo information and strong anti-jamming with the separate transmit-receive platform. Focusing bistatic SAR data in frequency domain requires two-dimensional (2D) point target spectrum. In the paper, the method of series reversion (MSR) is chosen to get the 2D spectrum, and then by the means of the Taylor series expansion of 2D spectrum phase along range direction and numerical approximation, an extended bistatic SAR imaging algorithm based on Chirp-Z transform (ECZA) is proposed, which is widely suitable for the flight configuration that the transmitter and receiver follow the parallel path with equal velocity. The imaging quality is compared with the traditional Chirp-Z algorithm (CZA), and the simulation results verify the 2D imaging ability of the proposed method.","PeriodicalId":385391,"journal":{"name":"2014 Seventh International Symposium on Computational Intelligence and Design","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133495691","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}
In this paper, a detection method of extra matters on the transmission lines is proposed. Our method can be divided into two steps: the detection of the transmission lines and the detection of the sky. To locate the lines, we design a set of simple and efficient filters to obtain the candidates of the lines. Compared with the previous work using the length of the lines to perform the transmission lines classification, we use the color and texture features to make it more robust to the variation of the background. To recognize the sky, we first over-segment the image. Then, we design the color and texture features for the detection of the sky. Finally, these features are used to train the classifier of the sky. After the transmission lines and the sky are detected, we confirm whether there is extra matter on the transmission lines. The experimental results indicate that our algorithm can recognize the extra matters on transmission lines fast and accurately.
{"title":"The Detection of Extra Matters on the Transmission Lines Based on the Filter Response and Appearance","authors":"N. Yao, Gongyi Hong, YaJuan Guo, T. Zhang","doi":"10.1109/ISCID.2014.141","DOIUrl":"https://doi.org/10.1109/ISCID.2014.141","url":null,"abstract":"In this paper, a detection method of extra matters on the transmission lines is proposed. Our method can be divided into two steps: the detection of the transmission lines and the detection of the sky. To locate the lines, we design a set of simple and efficient filters to obtain the candidates of the lines. Compared with the previous work using the length of the lines to perform the transmission lines classification, we use the color and texture features to make it more robust to the variation of the background. To recognize the sky, we first over-segment the image. Then, we design the color and texture features for the detection of the sky. Finally, these features are used to train the classifier of the sky. After the transmission lines and the sky are detected, we confirm whether there is extra matter on the transmission lines. The experimental results indicate that our algorithm can recognize the extra matters on transmission lines fast and accurately.","PeriodicalId":385391,"journal":{"name":"2014 Seventh International Symposium on Computational Intelligence and Design","volume":"188 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132243070","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 popular existing de-noising methods are compared and analyzed, including wavelet packet decomposition, coefficient shrinkage and modulus maxima method of wavelet transform, which advantages and disadvantages are analyzed and summarized. So their suitable scopes and premise condition are obtained. To accurately analyze high frequency part of signal in submarine tunnel monitoring, the maxima method de-noising method based on wavelet transform is suitable for the single characteristics, which can effectively remove the noise interference, and can be well preserved the original signal high frequency detail of tunnel itself part. Finally, the modulus maxima method are successfully adopted to de-noised the monitoring results, and the data de-noised and reconstructed are reliably provided for healthy diagnosis of submarine tunnel.
{"title":"De-noising Analysis for Health Monitoring of Submarine Tunnel by Wavelet Transform","authors":"Xiangxing Kong, Hongzheng Li","doi":"10.1109/ISCID.2014.184","DOIUrl":"https://doi.org/10.1109/ISCID.2014.184","url":null,"abstract":"The popular existing de-noising methods are compared and analyzed, including wavelet packet decomposition, coefficient shrinkage and modulus maxima method of wavelet transform, which advantages and disadvantages are analyzed and summarized. So their suitable scopes and premise condition are obtained. To accurately analyze high frequency part of signal in submarine tunnel monitoring, the maxima method de-noising method based on wavelet transform is suitable for the single characteristics, which can effectively remove the noise interference, and can be well preserved the original signal high frequency detail of tunnel itself part. Finally, the modulus maxima method are successfully adopted to de-noised the monitoring results, and the data de-noised and reconstructed are reliably provided for healthy diagnosis of submarine tunnel.","PeriodicalId":385391,"journal":{"name":"2014 Seventh International Symposium on Computational Intelligence and Design","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133819991","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}
Serial number is an important component to paper money. It is an important identifier to every piece of paper money. This paper presents an effective method on segmentation and recognition of RMB serial number. This methodology can be classified as three stages: preprocessing stage, Serial number segmentation stage and serial number recognition stage. The original serial number image is greylized and normalized in preprocessing stage. Each character in the serial number is segmented by region growth algorithm in segmentation stage and every segmented character is recognized by using neural networks in character recognition stage. Experimental result shows the method discussed in this paper is fast and accurate.
{"title":"A Segmentation and Recognition Method of RMB Series Number Based on Laplacian Transformation and BP Neural Networks","authors":"Feng Yang, Lingjian Chen","doi":"10.1109/ISCID.2014.16","DOIUrl":"https://doi.org/10.1109/ISCID.2014.16","url":null,"abstract":"Serial number is an important component to paper money. It is an important identifier to every piece of paper money. This paper presents an effective method on segmentation and recognition of RMB serial number. This methodology can be classified as three stages: preprocessing stage, Serial number segmentation stage and serial number recognition stage. The original serial number image is greylized and normalized in preprocessing stage. Each character in the serial number is segmented by region growth algorithm in segmentation stage and every segmented character is recognized by using neural networks in character recognition stage. Experimental result shows the method discussed in this paper is fast and accurate.","PeriodicalId":385391,"journal":{"name":"2014 Seventh International Symposium on Computational Intelligence and Design","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122898244","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 implementation requirements are multiplex in equipment requirement demonstration, which leads to the flexible flows of equipment requirement demonstration. And the flexible flows have to achieve the corresponding contents. So the method designing the flexible flows of equipment requirement demonstration is proposed. Firstly, according to the characteristic of equipment requirement demonstration, the task breakdown structure and the activity meta-model of equipment requirement demonstration are designed. And the flow type and the method constructing the flows are proposed. And then the flows of equipment requirement demonstration can be built. Secondly, aiming at the design requirement of the flexible flows, the flows of equipment requirement demonstration are differentiated into skeleton flow, operation flow and procedure flow. And the methods selecting and designing flexible activities are studied. The proposed methods in this paper are helpful to design flexible flows of equipment requirement demonstration.
{"title":"Flexible Flow Design Method for Equipment Requirement Demonstration","authors":"Yanping Fan, Q. Guo","doi":"10.1109/ISCID.2014.267","DOIUrl":"https://doi.org/10.1109/ISCID.2014.267","url":null,"abstract":"The implementation requirements are multiplex in equipment requirement demonstration, which leads to the flexible flows of equipment requirement demonstration. And the flexible flows have to achieve the corresponding contents. So the method designing the flexible flows of equipment requirement demonstration is proposed. Firstly, according to the characteristic of equipment requirement demonstration, the task breakdown structure and the activity meta-model of equipment requirement demonstration are designed. And the flow type and the method constructing the flows are proposed. And then the flows of equipment requirement demonstration can be built. Secondly, aiming at the design requirement of the flexible flows, the flows of equipment requirement demonstration are differentiated into skeleton flow, operation flow and procedure flow. And the methods selecting and designing flexible activities are studied. The proposed methods in this paper are helpful to design flexible flows of equipment requirement demonstration.","PeriodicalId":385391,"journal":{"name":"2014 Seventh International Symposium on Computational Intelligence and Design","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128782445","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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