Pub Date : 2014-12-01DOI: 10.1109/ICCWAMTIP.2014.7073418
Zhi-Yu Liu, Yi-Chao Li, Hua-Cong Yang, Jie Qiu
With the growing Smartphone user groups, security issues on Android platform must be taken seriously. Currently, faced with the severe situation of the Internet Security, and considering inherent risks in Android OS, study on key technologies of Android Malware has become important. In this paper, we have analyzed technologies of Android Trojans on implantation, silent running, concealment, monitoring, confrontation with cracking, and then, designed a prototype of Trojan for evaluation. This work eventually should be able to provide a reference for the design of security mechanisms.
{"title":"A case study on key technologies of Android Trojans","authors":"Zhi-Yu Liu, Yi-Chao Li, Hua-Cong Yang, Jie Qiu","doi":"10.1109/ICCWAMTIP.2014.7073418","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2014.7073418","url":null,"abstract":"With the growing Smartphone user groups, security issues on Android platform must be taken seriously. Currently, faced with the severe situation of the Internet Security, and considering inherent risks in Android OS, study on key technologies of Android Malware has become important. In this paper, we have analyzed technologies of Android Trojans on implantation, silent running, concealment, monitoring, confrontation with cracking, and then, designed a prototype of Trojan for evaluation. This work eventually should be able to provide a reference for the design of security mechanisms.","PeriodicalId":211273,"journal":{"name":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122962534","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.2014.7073457
Jieqiong Wu, Jian-Pin Li, Dewu Xie, Fengjiao Fan
In this paper, we introduce the general computing methods of multiple integration, and analysis the limitation and range in the application of solving the practice problems. Monte Carlo method of uniform random sampling number has explained the basic idea of Monte Carlo algorithm and its application in multiple integrals. Thus, from theory and example, we give a rapid calculation based on MATLAB tool, and could obtain a valuable approximation.
{"title":"The Monte Carlo calculation method of multiple integration","authors":"Jieqiong Wu, Jian-Pin Li, Dewu Xie, Fengjiao Fan","doi":"10.1109/ICCWAMTIP.2014.7073457","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2014.7073457","url":null,"abstract":"In this paper, we introduce the general computing methods of multiple integration, and analysis the limitation and range in the application of solving the practice problems. Monte Carlo method of uniform random sampling number has explained the basic idea of Monte Carlo algorithm and its application in multiple integrals. Thus, from theory and example, we give a rapid calculation based on MATLAB tool, and could obtain a valuable approximation.","PeriodicalId":211273,"journal":{"name":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113968609","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.2014.7073409
Xiao-Yan Jiang, Zheng-Guang Xie
To overcome the shortcoming that random measurement matrix is hard for hardware implementation. A new structural and sparse deterministic measurement matrix based on parity check matrix in quasi-cyclic low-density parity-check code was proposed by studying the theory of compressed sensing. To verify the performance of the new matrix, reconstruction experiments were conducted. Experimental results show that, compared with the commonly used matrixes, the proposed matrix has lower reconstruction error under the same reconstruction algorithm and compression ratio. The proposed method achieves certain improvement in Peak Signal-to-Noise Ratio. Especially, if it was applied to hardware implementation, the need for physical storage space and the complexity of the hardware implementation should be greatly reduced due to the properties of quasi-cyclic and symmetric in the structure.
{"title":"Sparse binary matrixes of QC-LDPC code for compressed sensing","authors":"Xiao-Yan Jiang, Zheng-Guang Xie","doi":"10.1109/ICCWAMTIP.2014.7073409","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2014.7073409","url":null,"abstract":"To overcome the shortcoming that random measurement matrix is hard for hardware implementation. A new structural and sparse deterministic measurement matrix based on parity check matrix in quasi-cyclic low-density parity-check code was proposed by studying the theory of compressed sensing. To verify the performance of the new matrix, reconstruction experiments were conducted. Experimental results show that, compared with the commonly used matrixes, the proposed matrix has lower reconstruction error under the same reconstruction algorithm and compression ratio. The proposed method achieves certain improvement in Peak Signal-to-Noise Ratio. Especially, if it was applied to hardware implementation, the need for physical storage space and the complexity of the hardware implementation should be greatly reduced due to the properties of quasi-cyclic and symmetric in the structure.","PeriodicalId":211273,"journal":{"name":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126186128","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}
Despite much success has been achieved, object tracking still remains a challenging research field in computer vision, due to many factors and difficulties such as occlusion, illumination, rotation, pose variance, and intensively motion. To handle them, many classical invariant features, object appearance models, and well-designed but complex tracking frameworks have been proposed. However, they seldom achieve effectiveness and efficiency at the same time when implemented in tracking tasks. In this paper, we propose a simple but robust tracking algorithm based on a novel feature named multi-scale gradient feature, which is subject to a structural constraint that is described by a Gaussian distribution. As the constraint is very strong, we takes a generative and static strategy to model the object appearance in video frames and do not need background models nor adaptive on-line boosting methods. It could run very fast, and perform effectively and efficiently on challenging video sequences.
{"title":"A simple tracking algorithm using multi-scale gradient feature","authors":"Chao Cheng, Zhenhua Guo, Xue-Dan Zhang, Youbin Chen","doi":"10.1109/ICCWAMTIP.2014.7073353","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2014.7073353","url":null,"abstract":"Despite much success has been achieved, object tracking still remains a challenging research field in computer vision, due to many factors and difficulties such as occlusion, illumination, rotation, pose variance, and intensively motion. To handle them, many classical invariant features, object appearance models, and well-designed but complex tracking frameworks have been proposed. However, they seldom achieve effectiveness and efficiency at the same time when implemented in tracking tasks. In this paper, we propose a simple but robust tracking algorithm based on a novel feature named multi-scale gradient feature, which is subject to a structural constraint that is described by a Gaussian distribution. As the constraint is very strong, we takes a generative and static strategy to model the object appearance in video frames and do not need background models nor adaptive on-line boosting methods. It could run very fast, and perform effectively and efficiently on challenging video sequences.","PeriodicalId":211273,"journal":{"name":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129490101","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.2014.7073426
S. Wan-xin
When the system model and noise statistical characteristics are known, the conventional Kalman filtering algorithm is suitable. In most cases, the noise statistics are unknown. To improve the alignment precision and convergence speed of strap-down inertial navigation system, an initial alignment method based on Sage-Husa adaptive filter is proposed. Automatic on-line estimation and correction for the noise parameters, the state of the system and the state estimate covariance by the observed data. Using forgetting factor can limit memory length of the filter, which could enhance the effect the newly observed data acts on the present estimation. Thus, enable the system to achieve the best filtering effect. Through simulation verifiable, the adaptive Kalman filter algorithm, improve the convergence speed and alignment accuracy effectively.
{"title":"Application of Sage-Husa adaptive filtering algorithm for high precision SINS initial alignment","authors":"S. Wan-xin","doi":"10.1109/ICCWAMTIP.2014.7073426","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2014.7073426","url":null,"abstract":"When the system model and noise statistical characteristics are known, the conventional Kalman filtering algorithm is suitable. In most cases, the noise statistics are unknown. To improve the alignment precision and convergence speed of strap-down inertial navigation system, an initial alignment method based on Sage-Husa adaptive filter is proposed. Automatic on-line estimation and correction for the noise parameters, the state of the system and the state estimate covariance by the observed data. Using forgetting factor can limit memory length of the filter, which could enhance the effect the newly observed data acts on the present estimation. Thus, enable the system to achieve the best filtering effect. Through simulation verifiable, the adaptive Kalman filter algorithm, improve the convergence speed and alignment accuracy effectively.","PeriodicalId":211273,"journal":{"name":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121166990","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.2014.7073385
Ping Kuang, Wei-Na Cao, Q. Wu
Deep learning proposed by Hinton et al is a new learning algorithm of multi-layer neural network, and it is also a new study field in machine learning. This paper describes the structures and advantages to shallow learning of deep learning, and analyzes current popular learning algorithm in detail. Finally, this paper analyzes research directions and future prospects of deep learning.
{"title":"Preview on structures and algorithms of deep learning","authors":"Ping Kuang, Wei-Na Cao, Q. Wu","doi":"10.1109/ICCWAMTIP.2014.7073385","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2014.7073385","url":null,"abstract":"Deep learning proposed by Hinton et al is a new learning algorithm of multi-layer neural network, and it is also a new study field in machine learning. This paper describes the structures and advantages to shallow learning of deep learning, and analyzes current popular learning algorithm in detail. Finally, this paper analyzes research directions and future prospects of deep learning.","PeriodicalId":211273,"journal":{"name":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125484003","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.2014.7073394
Jie Lin, Gen Zhang, Bo Fu, Yujie Hao
This paper proposed a new approach used for tracking multi-pith within one mixture speech signal. In this method, we employed a novel continuous correlation feature for calculating pitch model. This feature not only represents the harmonicity but also includes the information of spectral continuity, and hence improving the accuracy of the multi-pitch estimate. A DBNs and HMM hybrid model was further utilized to construct pitch models for determining pitch states and search for the best pitch state sequence. The new approach has been evaluated on mixture speech data and the results demonstrated its efficiency.
{"title":"Multipitch tracking with continuous correlation feature and hybrid DBNS/HMM model","authors":"Jie Lin, Gen Zhang, Bo Fu, Yujie Hao","doi":"10.1109/ICCWAMTIP.2014.7073394","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2014.7073394","url":null,"abstract":"This paper proposed a new approach used for tracking multi-pith within one mixture speech signal. In this method, we employed a novel continuous correlation feature for calculating pitch model. This feature not only represents the harmonicity but also includes the information of spectral continuity, and hence improving the accuracy of the multi-pitch estimate. A DBNs and HMM hybrid model was further utilized to construct pitch models for determining pitch states and search for the best pitch state sequence. The new approach has been evaluated on mixture speech data and the results demonstrated its efficiency.","PeriodicalId":211273,"journal":{"name":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126797500","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.2014.7073446
Bo Sun, Fengchao Zhu, Wenjuan Zhang
With the development of Internet of things, its application is more and more close to people's life. As the main sensor networks of the Internet of things base layer, wireless sensor networks (WSN) provide users with a large number of useful real-time sensing data. While the user wants to enjoy the services provided by wireless sensor, the WSN must to access the Internet network in some way. This paper presents a new framework based on cloud gateway, which realized the storage of mass data and reduced the data storage pressure of WSN. At the same time providing more efficient service for the user with make full use of cloud platform computing ability, storage ability and the ability of information service.
{"title":"Connect wireless sensor network with internet through cloud gateway","authors":"Bo Sun, Fengchao Zhu, Wenjuan Zhang","doi":"10.1109/ICCWAMTIP.2014.7073446","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2014.7073446","url":null,"abstract":"With the development of Internet of things, its application is more and more close to people's life. As the main sensor networks of the Internet of things base layer, wireless sensor networks (WSN) provide users with a large number of useful real-time sensing data. While the user wants to enjoy the services provided by wireless sensor, the WSN must to access the Internet network in some way. This paper presents a new framework based on cloud gateway, which realized the storage of mass data and reduced the data storage pressure of WSN. At the same time providing more efficient service for the user with make full use of cloud platform computing ability, storage ability and the ability of information service.","PeriodicalId":211273,"journal":{"name":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129169792","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.2014.7073433
Xu He
The paper shows how role-based access control (RBAC) models can be implemented in distributed object-based systems that follow OMG/ORB standards. The paper introduces a novel approach that provides for automatic role activation by the security components of the middleware, which brings role-based access control to security-unaware applications. Role-based access control has been being recognized as an integration to traditional discretionary and mandatory access control models.
{"title":"Role security access control of the distributed object systems","authors":"Xu He","doi":"10.1109/ICCWAMTIP.2014.7073433","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2014.7073433","url":null,"abstract":"The paper shows how role-based access control (RBAC) models can be implemented in distributed object-based systems that follow OMG/ORB standards. The paper introduces a novel approach that provides for automatic role activation by the security components of the middleware, which brings role-based access control to security-unaware applications. Role-based access control has been being recognized as an integration to traditional discretionary and mandatory access control models.","PeriodicalId":211273,"journal":{"name":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130363773","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.2014.7073436
Panshi Tang, Xiaolong Tang, Zhongyu Tao, Jian-ping Li
The wide application of Internet technology and media technology produces more and more data which also leads the arrival of the era of big data. However, it is difficult to extract the needed information from the original data directly except some special conditions. In recent years, the development of machine learning which provide a effective way to solve this problem for us. You can obtain lower rate of Miscalculate when you select a reasonable feature selection algorithm under the premise of not increasing the complexity of algorithm. At present it is divided into two categories named the Filter and Wrapper feature selection algorithm in the field of machine learning. This paper considers both the advantages and disadvantages of these two feature selection algorithm and studies the combined feature selection algorithm.
{"title":"Research on feature selection algorithm based on mutual information and genetic algorithm","authors":"Panshi Tang, Xiaolong Tang, Zhongyu Tao, Jian-ping Li","doi":"10.1109/ICCWAMTIP.2014.7073436","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2014.7073436","url":null,"abstract":"The wide application of Internet technology and media technology produces more and more data which also leads the arrival of the era of big data. However, it is difficult to extract the needed information from the original data directly except some special conditions. In recent years, the development of machine learning which provide a effective way to solve this problem for us. You can obtain lower rate of Miscalculate when you select a reasonable feature selection algorithm under the premise of not increasing the complexity of algorithm. At present it is divided into two categories named the Filter and Wrapper feature selection algorithm in the field of machine learning. This paper considers both the advantages and disadvantages of these two feature selection algorithm and studies the combined feature selection algorithm.","PeriodicalId":211273,"journal":{"name":"2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130386948","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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