Pub Date : 2014-12-01DOI: 10.1109/ICCWAMTIP.2014.7073372
L. Zhang, Xiao-Lin Zhang, B. Zou, W. Tang
This article analyses the characteristic of time frequency distribution of laser detection signals of underwater acoustic signal, we discover the regularity of wavelet ridges distribution of laser interference signal: some wavelet ridges distribute on the scale-time curve which is corresponding with the frequency of underwater acoustic signal, or symmetrically distribute in the upper and lower sides. According to this regularity, a method for estimating the instantaneous frequency of underwater acoustic signal using wavelet ridges is put forward. Detection experiments of underwater acoustic signal with stable-frequency and the linear frequency modulation are both carried out using wavelet transform, and the results prove the correctness of this method.
{"title":"Application of wavelet transform in laser detection of underwater acoustic signal","authors":"L. Zhang, Xiao-Lin Zhang, B. Zou, W. Tang","doi":"10.1109/ICCWAMTIP.2014.7073372","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2014.7073372","url":null,"abstract":"This article analyses the characteristic of time frequency distribution of laser detection signals of underwater acoustic signal, we discover the regularity of wavelet ridges distribution of laser interference signal: some wavelet ridges distribute on the scale-time curve which is corresponding with the frequency of underwater acoustic signal, or symmetrically distribute in the upper and lower sides. According to this regularity, a method for estimating the instantaneous frequency of underwater acoustic signal using wavelet ridges is put forward. Detection experiments of underwater acoustic signal with stable-frequency and the linear frequency modulation are both carried out using wavelet transform, and the results prove the correctness of this method.","PeriodicalId":211273,"journal":{"name":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114409890","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 : 2014-12-01DOI: 10.1109/ICCWAMTIP.2014.7073437
Fei Wang, Guang-ya Si, Baoliang Xiao, Yafeng Shi
Network-of-Networks (NoN) is the latest developments of Complex Network, which is suitable for researching problem of System-of-Systems(SoS). We put forward a conceptual model of military SoS based on NoN, the model can describe various dynamic and static factors of SoS effectively. The SoS is mapped into physical network, relationship network and interaction network. The interaction network is defined in the form of flows, and the relationships between different networks are analyzed qualitatively. The approach of instantiating the conceptual model is introduced, the method of analyzing base on the instantiated model is shown through an example of simulation.
{"title":"Ananalytic model of military system-of-systems based on network-of-networkstheory","authors":"Fei Wang, Guang-ya Si, Baoliang Xiao, Yafeng Shi","doi":"10.1109/ICCWAMTIP.2014.7073437","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2014.7073437","url":null,"abstract":"Network-of-Networks (NoN) is the latest developments of Complex Network, which is suitable for researching problem of System-of-Systems(SoS). We put forward a conceptual model of military SoS based on NoN, the model can describe various dynamic and static factors of SoS effectively. The SoS is mapped into physical network, relationship network and interaction network. The interaction network is defined in the form of flows, and the relationships between different networks are analyzed qualitatively. The approach of instantiating the conceptual model is introduced, the method of analyzing base on the instantiated model is shown through an example of simulation.","PeriodicalId":211273,"journal":{"name":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131123987","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 : 2014-12-01DOI: 10.1109/ICCWAMTIP.2014.7073427
Qingxin Zhang
This paper discusses an optimal antiviral treatment strategy for the outbreak of influenza. The optimal control problem is formulated by minimizing the number of infected individuals at a minimal intervention cost. The existence of an optimal solution for the control problem is proved. In addition, with the Pontryagin's Maximum Principle, the time-varying optimal strategy of antiviral treatment is obtained.
{"title":"Optimal antiviral treatment strategies for the control of pandemic influenza","authors":"Qingxin Zhang","doi":"10.1109/ICCWAMTIP.2014.7073427","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2014.7073427","url":null,"abstract":"This paper discusses an optimal antiviral treatment strategy for the outbreak of influenza. The optimal control problem is formulated by minimizing the number of infected individuals at a minimal intervention cost. The existence of an optimal solution for the control problem is proved. In addition, with the Pontryagin's Maximum Principle, the time-varying optimal strategy of antiviral treatment is obtained.","PeriodicalId":211273,"journal":{"name":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126903499","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 : 2014-12-01DOI: 10.1109/ICCWAMTIP.2014.7073366
Xiaojun Sun, G. Yan, Bo Zhang
For the multisensor linear discrete time-invariant systems with correlated noises, a reduced dimension weighted measurement fusion algorithm is presented. Furthermore, an optimal reduced dimension weighted measurement fusion white noise deconvolution estimator is given. Its computational burden is greatly reduced. A simulation example for a 3-sensor system with Bernoulli-Gaussian input white noise shows its effectiveness.
{"title":"A new optimal reduced dimension weighted fusion white noise estimator","authors":"Xiaojun Sun, G. Yan, Bo Zhang","doi":"10.1109/ICCWAMTIP.2014.7073366","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2014.7073366","url":null,"abstract":"For the multisensor linear discrete time-invariant systems with correlated noises, a reduced dimension weighted measurement fusion algorithm is presented. Furthermore, an optimal reduced dimension weighted measurement fusion white noise deconvolution estimator is given. Its computational burden is greatly reduced. A simulation example for a 3-sensor system with Bernoulli-Gaussian input white noise shows its effectiveness.","PeriodicalId":211273,"journal":{"name":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128118524","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 : 2014-12-01DOI: 10.1109/ICCWAMTIP.2014.7073375
Pann Ei San, F. Tian, Zhiyong Shi, Minjun Deng
Super-resolution image reconstruction is an image processing technique that attempts to reconstruct high quality and high-resolution images from one or more low-resolution images by learning from a collection of training images. In this paper, new image resolution enhancement methods using wavelet packet transform and neural networks are proposed. The input image is decomposed by using wavelet packet transform. In this work, the wavelet packet decomposition sub-images are used to train neural networks. Multilayer Perceptron (MLP) and Radial Basis Function (RBF) neural networks are employed to predict the expected wavelet packet sub-images of a high-resolution image. The super-resolved image is finally produced by using the synthesis procedure of wavelet packet transform. The objective and subjective quality assessments indicate that the proposed methods outperform the conventional image resolution enhancement techniques.
{"title":"Super-resoloution image reconstruction based on wavelet packet transform and artifcial neural networks","authors":"Pann Ei San, F. Tian, Zhiyong Shi, Minjun Deng","doi":"10.1109/ICCWAMTIP.2014.7073375","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2014.7073375","url":null,"abstract":"Super-resolution image reconstruction is an image processing technique that attempts to reconstruct high quality and high-resolution images from one or more low-resolution images by learning from a collection of training images. In this paper, new image resolution enhancement methods using wavelet packet transform and neural networks are proposed. The input image is decomposed by using wavelet packet transform. In this work, the wavelet packet decomposition sub-images are used to train neural networks. Multilayer Perceptron (MLP) and Radial Basis Function (RBF) neural networks are employed to predict the expected wavelet packet sub-images of a high-resolution image. The super-resolved image is finally produced by using the synthesis procedure of wavelet packet transform. The objective and subjective quality assessments indicate that the proposed methods outperform the conventional image resolution enhancement techniques.","PeriodicalId":211273,"journal":{"name":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125495874","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 : 2014-12-01DOI: 10.1109/ICCWAMTIP.2014.7073414
Tao Lin, Xiaoyun Liu, X. Zhang, Yan Ma, Z. Liu
Calculating morphological gradient is the key step of watershed algorithm. In this article, new tensorial similarity morphological gradient is defined based on the eight neighborhoods, and new tensor anisotropy morphological gradients are put forward, which are then used in the watershed segmentation framework to segment DTI image. The results of the segmentation experiments on the corpus callosum show that: Compared to other tensor anisotropy morphological gradients based watershed segmentation methods, the one based on newly proposed tensor anisotropy morphological gradients can more quickly and accurately position and depict the segmentation outline of the image, which can also better protect the edge information of the important region.
{"title":"New tensorial morphological gradients in DTI image segmentation algorithm","authors":"Tao Lin, Xiaoyun Liu, X. Zhang, Yan Ma, Z. Liu","doi":"10.1109/ICCWAMTIP.2014.7073414","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2014.7073414","url":null,"abstract":"Calculating morphological gradient is the key step of watershed algorithm. In this article, new tensorial similarity morphological gradient is defined based on the eight neighborhoods, and new tensor anisotropy morphological gradients are put forward, which are then used in the watershed segmentation framework to segment DTI image. The results of the segmentation experiments on the corpus callosum show that: Compared to other tensor anisotropy morphological gradients based watershed segmentation methods, the one based on newly proposed tensor anisotropy morphological gradients can more quickly and accurately position and depict the segmentation outline of the image, which can also better protect the edge information of the important region.","PeriodicalId":211273,"journal":{"name":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117301603","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 new type of high precision double buffered MEMS acceleration seismometer is introduced. The MEMS sensor technology, Σ- delta 24 bits A/D conversion technology are adopted in our method. Furthermore, FPGA extended SDRAM is utilized for the implementation. Experiments show that the detector performance compared with France's DSU3 Sercel co, frequency response reaches 0-784Hz; Power consumption is 160 mV, which can realize the large volume of 128 Mbit cache. The dynamic range and band width has been greatly improved than traditional receiver, and the ability to resist electromagnetic interference is enhanced.
{"title":"The design of high precision double buffer MEMS acceleration seismometer","authors":"Ping Gan, Huan Yu, Zhuo Chen, Dong Lianli, Xiaohu Shen, Ming Yu, Yu Zhang, Cailan Zeng, Xiaosong Zhang","doi":"10.1109/ICCWAMTIP.2014.7073424","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2014.7073424","url":null,"abstract":"In this paper, a new type of high precision double buffered MEMS acceleration seismometer is introduced. The MEMS sensor technology, Σ- delta 24 bits A/D conversion technology are adopted in our method. Furthermore, FPGA extended SDRAM is utilized for the implementation. Experiments show that the detector performance compared with France's DSU3 Sercel co, frequency response reaches 0-784Hz; Power consumption is 160 mV, which can realize the large volume of 128 Mbit cache. The dynamic range and band width has been greatly improved than traditional receiver, and the ability to resist electromagnetic interference is enhanced.","PeriodicalId":211273,"journal":{"name":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","volume":"os18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127921635","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 : 2014-12-01DOI: 10.1109/ICCWAMTIP.2014.7073458
Yuehao Yan, C. Li, Rong Wang
With the rapidly development of microelectronics technology, control theory, four shaft rotor unmanned aerial vehicle technology has been dramatically improved. In this paper, a fast intelligent building model and setting process have been proposed, which are based on the research of the key technology of four shaft rotor unmanned aerial vehicle, this model and setting process has been proved plausibly and correctly with experiments.
{"title":"Research on key technologies of unmanned aerial vehicle intelligent four shaft rotor","authors":"Yuehao Yan, C. Li, Rong Wang","doi":"10.1109/ICCWAMTIP.2014.7073458","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2014.7073458","url":null,"abstract":"With the rapidly development of microelectronics technology, control theory, four shaft rotor unmanned aerial vehicle technology has been dramatically improved. In this paper, a fast intelligent building model and setting process have been proposed, which are based on the research of the key technology of four shaft rotor unmanned aerial vehicle, this model and setting process has been proved plausibly and correctly with experiments.","PeriodicalId":211273,"journal":{"name":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","volume":"39 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134224861","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 : 2014-12-01DOI: 10.1109/ICCWAMTIP.2014.7073361
Yiou Sun, Jingwen Xie, Junhai Guo, Haifang Wang, Yang Zhao
This paper presents a new target tracking method. The presented method which named marginalized cubature Kalman filter is based on standard cubature Kalman filter and marginalized moment estimator. The marginalized moment estimator uses sigma-points sampling and Guass-Hermite integration to estimate the mean and covariance. The proposed algorithm which is called MCKF in short, uses marginalized moment estimator to calculate the state's mean and covariance in the CKF framework and gets a better accuracy and keep the covariance matrix being positive definite. Simulation indicates the presented algorithm's feasibility and improved performance.
{"title":"A novel CKF method for target tracking","authors":"Yiou Sun, Jingwen Xie, Junhai Guo, Haifang Wang, Yang Zhao","doi":"10.1109/ICCWAMTIP.2014.7073361","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2014.7073361","url":null,"abstract":"This paper presents a new target tracking method. The presented method which named marginalized cubature Kalman filter is based on standard cubature Kalman filter and marginalized moment estimator. The marginalized moment estimator uses sigma-points sampling and Guass-Hermite integration to estimate the mean and covariance. The proposed algorithm which is called MCKF in short, uses marginalized moment estimator to calculate the state's mean and covariance in the CKF framework and gets a better accuracy and keep the covariance matrix being positive definite. Simulation indicates the presented algorithm's feasibility and improved performance.","PeriodicalId":211273,"journal":{"name":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","volume":"1149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124713496","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 : 2014-12-01DOI: 10.1109/ICCWAMTIP.2014.7073359
Riming Wang, Jiu-chao Feng
Cramer-Rao Lower Bound (CRLB) of location estimation under Gaussian distribution is widely used in localization applications. However, under the environments with dynamical obstacles, the existing CRLB does not represent the effect of the non-line-of-sight (NLOS) bias caused by dynamical obstacles. In this paper, based on received signal strength (RSS) measurements, a uniform random variable is used to model the NLOS bias effect. Furthermore, The corresponding maximum likelihood estimator (MLE) and CRLB under the joint distribution of Gaussian distribution and uniform distribution are derived. Numerical results validate that the proposed MLE and CRLB are effective in environments with dynamic obstacles.
{"title":"Cramer-rao lower bound for localization in environments with dynamical obstacles","authors":"Riming Wang, Jiu-chao Feng","doi":"10.1109/ICCWAMTIP.2014.7073359","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2014.7073359","url":null,"abstract":"Cramer-Rao Lower Bound (CRLB) of location estimation under Gaussian distribution is widely used in localization applications. However, under the environments with dynamical obstacles, the existing CRLB does not represent the effect of the non-line-of-sight (NLOS) bias caused by dynamical obstacles. In this paper, based on received signal strength (RSS) measurements, a uniform random variable is used to model the NLOS bias effect. Furthermore, The corresponding maximum likelihood estimator (MLE) and CRLB under the joint distribution of Gaussian distribution and uniform distribution are derived. Numerical results validate that the proposed MLE and CRLB are effective in environments with dynamic obstacles.","PeriodicalId":211273,"journal":{"name":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124965509","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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