{"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":"13 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":"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}
{"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":"10 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":"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}
{"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":"76 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":"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}
Panshi Tang, Xiaolong Tang, Zhongyu Tao, Jian-ping Li
{"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":"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":"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}
{"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":"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":"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}
Asif Khan, S. Deep, Jian-ping Li, K. Kumar, R. Shaikh, Faraz Hasan
{"title":"Vision prehension with CBIR for cloud robo","authors":"Asif Khan, S. Deep, Jian-ping Li, K. Kumar, R. Shaikh, Faraz Hasan","doi":"10.1109/ICCWAMTIP.2014.7073411","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2014.7073411","url":null,"abstract":"Content Based Image Retrieval is very hottest research area in computer vision and image processing. To perceive arbitrary natural scene from complex environment is a challenging issue in visual imaging and processing research area. Neural Network is a grid of “neuron like” nodes, in this paper we follow towards Neural Network (NN), is committed to contributing a new technical concept for the scene understanding and recognition by consolidating new intellectual visual features into the scene expression, which can be very crucial and provide cognitive intelligence to cloud robot. Inspired by Artificial Neural Network intelligence due to its dynamic nature, we make use of the attributes of the Gabor filter and Laplacian of Gaussian filter which is to be akin to robot visual perception, and apply the wavelet transform to inspect a new approach in complex environment natural scene perception and understanding for virtual phenomena. Through the study of Neural Network, the perception ability of the natural scene image from complex environment for cloud robot is enhanced with the integration of cognitive visual features and the scene expression.","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":"128107946","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}
{"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":"58 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":"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}
{"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":"12 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":"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}
{"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":"79 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":"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}
{"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":"3 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":"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}