Pub Date : 2013-08-01DOI: 10.1109/ICINFA.2013.6720390
Zhen Yu, Chenxing Zhong, Yu Guo
The classical Bang-Coast-Bang path spectrum was analyzed by FFT in order to select the path parameters which were fit for flexible spacecraft attitude maneuver. Spectrum expression of BCB path was derived by means of DFT. The relation between the path parameters and spectrum as well as maneuver time was studied by analyzing the spectral characteristics of BCB path. A selection method of BCB path parameters was proposed. Research results indicate that if the BCB path parameters are selected by the proposed method, it can effectively reduce flexible appendages' vibration affected by attitude maneuver for rapid maneuver and rapid stabilization. Numerical simulations demonstrate the effectiveness of the method, and it is useful for BCB path parameters selection.
{"title":"Spectral analysis and parameter selection for BCB attitude maneuver path of flexible spacecraft","authors":"Zhen Yu, Chenxing Zhong, Yu Guo","doi":"10.1109/ICINFA.2013.6720390","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720390","url":null,"abstract":"The classical Bang-Coast-Bang path spectrum was analyzed by FFT in order to select the path parameters which were fit for flexible spacecraft attitude maneuver. Spectrum expression of BCB path was derived by means of DFT. The relation between the path parameters and spectrum as well as maneuver time was studied by analyzing the spectral characteristics of BCB path. A selection method of BCB path parameters was proposed. Research results indicate that if the BCB path parameters are selected by the proposed method, it can effectively reduce flexible appendages' vibration affected by attitude maneuver for rapid maneuver and rapid stabilization. Numerical simulations demonstrate the effectiveness of the method, and it is useful for BCB path parameters selection.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125100366","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720397
Weiran Cao, Xiuyi Yang, Linlin Zhu, Jianda Han, Tianran Wang
In this paper, we propose a simple but effective image prior-symmetry partial derivative distribution to detect power lines in aerial image for UAVs. The symmetry partial derivative distribution is a kind of statistics of the images. It is based on a key observation-most nature images have symmetry partial derivative distributing. Based on this prior knowledge, we use radon transformation in partial derivative image and recognize the power lines in the aerial image. The experiment results demonstrate our method is effective for automatic power line detection.
{"title":"Power line detection based on symmetric partial derivative distribution prior","authors":"Weiran Cao, Xiuyi Yang, Linlin Zhu, Jianda Han, Tianran Wang","doi":"10.1109/ICINFA.2013.6720397","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720397","url":null,"abstract":"In this paper, we propose a simple but effective image prior-symmetry partial derivative distribution to detect power lines in aerial image for UAVs. The symmetry partial derivative distribution is a kind of statistics of the images. It is based on a key observation-most nature images have symmetry partial derivative distributing. Based on this prior knowledge, we use radon transformation in partial derivative image and recognize the power lines in the aerial image. The experiment results demonstrate our method is effective for automatic power line detection.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133485373","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720374
Hongmei Zhang, Fei Liu, Ming Yang, Wei Li
This paper presents a simulation algorithm to analyze a type of colored time Petri nets, in which a time interval is associated with each transition. Specifically, we first unfold colored time Petri nets to standard time Petri nets and then develop a simulation algorithm of time Petri nets to realize the simulation of colored time Petri nets. A model of a real system is used to demonstrate and validate our approach.
{"title":"Simulation of colored time Petri nets","authors":"Hongmei Zhang, Fei Liu, Ming Yang, Wei Li","doi":"10.1109/ICINFA.2013.6720374","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720374","url":null,"abstract":"This paper presents a simulation algorithm to analyze a type of colored time Petri nets, in which a time interval is associated with each transition. Specifically, we first unfold colored time Petri nets to standard time Petri nets and then develop a simulation algorithm of time Petri nets to realize the simulation of colored time Petri nets. A model of a real system is used to demonstrate and validate our approach.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"520 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131774559","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720430
Le Zhang, Xuedong Xue, Quan Yang, Libing Wang
In order to monitor the interference in GNSS, the bearings measurement of the interference source is needed. Because the high-order cumulant (HOC) is able to suppress Gaussian nose, a music algorithm based on the Interference Bearings Measurement 4-order cumulant of circle array GNSS is put forward. The MUSIC algorithm based on HOC can be used in GNSS Interference Bearings Measurement to decrease the demand of SINR in measurement. The experiments under the condition of Gassion noise show that, the MUSIC Algorithm based on HOC has better robustness and accuracy than MUSIC.
{"title":"The application of high-order cumulantin GNSS Interference Bearings Measurement","authors":"Le Zhang, Xuedong Xue, Quan Yang, Libing Wang","doi":"10.1109/ICINFA.2013.6720430","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720430","url":null,"abstract":"In order to monitor the interference in GNSS, the bearings measurement of the interference source is needed. Because the high-order cumulant (HOC) is able to suppress Gaussian nose, a music algorithm based on the Interference Bearings Measurement 4-order cumulant of circle array GNSS is put forward. The MUSIC algorithm based on HOC can be used in GNSS Interference Bearings Measurement to decrease the demand of SINR in measurement. The experiments under the condition of Gassion noise show that, the MUSIC Algorithm based on HOC has better robustness and accuracy than MUSIC.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132235423","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720375
Jinling Wang, K. Song, Xiaojun He
For advancing the image quantity of multi-spectral and panchromatic images fusion, this paper presents an algorithm of multi-spectral image fusion based on the characteristic of imaging system. This algorithm firstly executes multi-resolution decomposition to multi-spectral and panchromatic images adopting with Nonsubsample contourlet transform, then establishes the panchromatic image injection model by analysising the imaging system characteristic of multi-spectral image in detail, and injects the detail information of panchromatic image to every spectrum of multi-spectral image by this model. At last, the decomposition coefficient is reconstructed by inverse nonsubsample contourlet transform so that the final fusion image is obtained. The experiment shows that the algorithm of this paper can not only fuses the detail information of panchromatic image adequately, but also retains the spectral characteristic of multi-spectral image better, reduces the spectrum distortion problem effectively.
{"title":"Multi-spectral image fusion based on the characteristic of imaging system","authors":"Jinling Wang, K. Song, Xiaojun He","doi":"10.1109/ICINFA.2013.6720375","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720375","url":null,"abstract":"For advancing the image quantity of multi-spectral and panchromatic images fusion, this paper presents an algorithm of multi-spectral image fusion based on the characteristic of imaging system. This algorithm firstly executes multi-resolution decomposition to multi-spectral and panchromatic images adopting with Nonsubsample contourlet transform, then establishes the panchromatic image injection model by analysising the imaging system characteristic of multi-spectral image in detail, and injects the detail information of panchromatic image to every spectrum of multi-spectral image by this model. At last, the decomposition coefficient is reconstructed by inverse nonsubsample contourlet transform so that the final fusion image is obtained. The experiment shows that the algorithm of this paper can not only fuses the detail information of panchromatic image adequately, but also retains the spectral characteristic of multi-spectral image better, reduces the spectrum distortion problem effectively.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"279 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134364570","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720493
Zhifang Zheng, Y. Guan, Manjia Su, Pinhong Wu, Jie Hu, Xuefeng Zhou, Hong Zhang
Developed with traditional method, most of the current existing master robots lack of sufficient flexibility and high adaptability to the slave robots, since their structure and degrees of freedom cannot be modified according to those of the slaves. To overcome these shortcomings with the existing master robots, we propose a novel master robot developed with modular method. With the modular approach, it is trivial to build isomorphic master-slave robots according to different tasks. For such isomorphic systems, the mapping between the master and the slave is one-to-one owing to their same configurations, which leads to simple, intuitive and stable control of the slave. In this paper, we introduce the development of the master-slave robotic system, focusing on the design method, the mechanical system, the control system including the hardware and software of the modules, and the communication between the master and slave. An experiment with the master-slave system performing a manipulation task in practice is carried out to illustrate the effectiveness of the presented modular method and the built master-slave system.
{"title":"Development of isomorphic master-slave robots with modular method","authors":"Zhifang Zheng, Y. Guan, Manjia Su, Pinhong Wu, Jie Hu, Xuefeng Zhou, Hong Zhang","doi":"10.1109/ICINFA.2013.6720493","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720493","url":null,"abstract":"Developed with traditional method, most of the current existing master robots lack of sufficient flexibility and high adaptability to the slave robots, since their structure and degrees of freedom cannot be modified according to those of the slaves. To overcome these shortcomings with the existing master robots, we propose a novel master robot developed with modular method. With the modular approach, it is trivial to build isomorphic master-slave robots according to different tasks. For such isomorphic systems, the mapping between the master and the slave is one-to-one owing to their same configurations, which leads to simple, intuitive and stable control of the slave. In this paper, we introduce the development of the master-slave robotic system, focusing on the design method, the mechanical system, the control system including the hardware and software of the modules, and the communication between the master and slave. An experiment with the master-slave system performing a manipulation task in practice is carried out to illustrate the effectiveness of the presented modular method and the built master-slave system.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134449567","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720355
Tao Ma, Yuexian Zou, Qing Ding
This paper presents a new method to solve the urban vehicle classification problem by incorporating an efficient vector sparse coding technique with the linear support vector machine (SVM) classifier. Essentially, SIFT descriptors are able to give good local characteristics of a vehicle image. However, in general, SIFT feature vectors are nonlinearly discriminated. With sparse coding, the SIFT feature vectors can be firstly projected to a higher dimensional feature domain where the resultant sparse code vectors may be more distinguishable than those in original feature domain and thus the linear SVM classifier can be adopted. Conventional vector sparse coding is computationally expensive which reduces the practical value of sparse coding for real vehicle classification applications. In this paper, an efficient L2-norm constraint based vector sparse coding algorithm for vehicle classification has been formulated and derived accordingly. The performance evaluations using real vehicle images extracted from surveillance video data are carried out and six vehicle classes (bus, truck, SUV, van, car, and motorcycle) are considered. Experimental results validate the effectiveness of the proposed method and it is encouraged to see that a good classification performance is achieved.
{"title":"Urban vehicle classification based on linear SVM with efficient vector sparse coding","authors":"Tao Ma, Yuexian Zou, Qing Ding","doi":"10.1109/ICINFA.2013.6720355","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720355","url":null,"abstract":"This paper presents a new method to solve the urban vehicle classification problem by incorporating an efficient vector sparse coding technique with the linear support vector machine (SVM) classifier. Essentially, SIFT descriptors are able to give good local characteristics of a vehicle image. However, in general, SIFT feature vectors are nonlinearly discriminated. With sparse coding, the SIFT feature vectors can be firstly projected to a higher dimensional feature domain where the resultant sparse code vectors may be more distinguishable than those in original feature domain and thus the linear SVM classifier can be adopted. Conventional vector sparse coding is computationally expensive which reduces the practical value of sparse coding for real vehicle classification applications. In this paper, an efficient L2-norm constraint based vector sparse coding algorithm for vehicle classification has been formulated and derived accordingly. The performance evaluations using real vehicle images extracted from surveillance video data are carried out and six vehicle classes (bus, truck, SUV, van, car, and motorcycle) are considered. Experimental results validate the effectiveness of the proposed method and it is encouraged to see that a good classification performance is achieved.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116176661","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720488
Hanfeng Liu, Peiliang Wu
Aimed at the particularity of MiroSot large league 11 vs 11, several especial issues in the MiroSot large league system are analyzed. First, the conception of “remote-brain” into the design of robot soccer system is introduced, then the full-field calibration and targets orientation in the view field of double cameras configuration is discussed and a two-step method to calibrate the large full-field is presented. The experimental results testify that these algorithms are rational and valid.
{"title":"Study on several especial issues of MiroSot large field robot soccer system","authors":"Hanfeng Liu, Peiliang Wu","doi":"10.1109/ICINFA.2013.6720488","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720488","url":null,"abstract":"Aimed at the particularity of MiroSot large league 11 vs 11, several especial issues in the MiroSot large league system are analyzed. First, the conception of “remote-brain” into the design of robot soccer system is introduced, then the full-field calibration and targets orientation in the view field of double cameras configuration is discussed and a two-step method to calibrate the large full-field is presented. The experimental results testify that these algorithms are rational and valid.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123196835","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720339
G. Song, Jianda Han, Yiwen Zhao, Chen Chen
Mobile CARM is a more and more important device for spine surgery navigation. The accuracy of the intraoperative image has a huge influence on the surgery success rate. For the purposes to achieve the surgery, the image capture device should be modeled by an accurate method. This paper describes the problems of establishing the CARM model. By analysis the structure of the mobile CARM, we establish the static model of the CARM. Next by kinematics analysis, we establish the dynamic model which could guarantee the accuracy of the CARM. Last we confirm the deviation of CARM images.
{"title":"Establishing dynamic model for mobile CARM","authors":"G. Song, Jianda Han, Yiwen Zhao, Chen Chen","doi":"10.1109/ICINFA.2013.6720339","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720339","url":null,"abstract":"Mobile CARM is a more and more important device for spine surgery navigation. The accuracy of the intraoperative image has a huge influence on the surgery success rate. For the purposes to achieve the surgery, the image capture device should be modeled by an accurate method. This paper describes the problems of establishing the CARM model. By analysis the structure of the mobile CARM, we establish the static model of the CARM. Next by kinematics analysis, we establish the dynamic model which could guarantee the accuracy of the CARM. Last we confirm the deviation of CARM images.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124199041","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 : 2013-08-01DOI: 10.1109/ICINFA.2013.6720338
Anmin Zhu, Liu Yang
Fuzzy C-Means (FCM) clustering algorithm has been widely used in the field of image segmentation with its good clustering efficiency. However, it may cause a time-consuming result and even convergence to local minima because of its local search character while with an improper initial value. Therefore, an improved FCM algorithm is proposed in this paper to solve the ripe fruit image segmentation problem. In the proposed approach, the concept of the neighborhood density is introduced to initialize the cluster center to avoid the improper initial value, which is based on the neighborhood correlation of the data space. Then a resample image method based on entropy constraint is used to reduce the data set, so that the clustering time will be reduced. The effectiveness and efficiency of the proposed approach are demonstrated by experimental studies with some standard data sets and real tomato images.
{"title":"An improved FCM algorithm for ripe fruit image segmentation","authors":"Anmin Zhu, Liu Yang","doi":"10.1109/ICINFA.2013.6720338","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720338","url":null,"abstract":"Fuzzy C-Means (FCM) clustering algorithm has been widely used in the field of image segmentation with its good clustering efficiency. However, it may cause a time-consuming result and even convergence to local minima because of its local search character while with an improper initial value. Therefore, an improved FCM algorithm is proposed in this paper to solve the ripe fruit image segmentation problem. In the proposed approach, the concept of the neighborhood density is introduced to initialize the cluster center to avoid the improper initial value, which is based on the neighborhood correlation of the data space. Then a resample image method based on entropy constraint is used to reduce the data set, so that the clustering time will be reduced. The effectiveness and efficiency of the proposed approach are demonstrated by experimental studies with some standard data sets and real tomato images.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125430504","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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