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Sparsity constrained model for the semantic features selection 语义特征选择的稀疏约束模型
Int. J. Adv. Media Commun. Pub Date : 2017-08-23 DOI: 10.1504/IJAMC.2017.10006891
Weihua Ou, Wenjun Xiao
{"title":"Sparsity constrained model for the semantic features selection","authors":"Weihua Ou, Wenjun Xiao","doi":"10.1504/IJAMC.2017.10006891","DOIUrl":"https://doi.org/10.1504/IJAMC.2017.10006891","url":null,"abstract":"Predicting brain activity associated with concrete concepts has been attracted wide attention in brain imaging studies. The main task is to construct a computational model for the link between the stimuli and the brain image. However, the ordinary regression model cannot make the desired selection among the semantic features due to the small sample size problem. In this paper, we propose a sparsity constrained model to automatically choose the relevant semantic features. Specifically, we explicitly constrain the number of semantic features associated with the individual voxels. The motivation is based on the fact that the responses of a voxel to the stimuli can only be explained by a limited number of neuron activity bases. The experimental results on predicting brain images show the effectiveness of the proposed approach, as well as meaningful representation of the concepts.","PeriodicalId":134413,"journal":{"name":"Int. J. Adv. Media Commun.","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126602874","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}
引用次数: 0
Delay-dependent stability analysis of convection-diffusion equations with delay 具有时滞的对流扩散方程的时滞相关稳定性分析
Int. J. Adv. Media Commun. Pub Date : 2017-08-23 DOI: 10.1504/IJAMC.2017.10006893
Qifeng Zhang, Changying Li, Hongyu Qin
{"title":"Delay-dependent stability analysis of convection-diffusion equations with delay","authors":"Qifeng Zhang, Changying Li, Hongyu Qin","doi":"10.1504/IJAMC.2017.10006893","DOIUrl":"https://doi.org/10.1504/IJAMC.2017.10006893","url":null,"abstract":"This paper is concerned with the delay-dependent stability analysis of the one-dimensional and two-dimensional convection-diffusion equations with time delay. Some sufficient and necessary conditions for the asymptotical stability of the equations are proposed. These results lay the foundation for the numerical stability analysis of such kinds of equations.","PeriodicalId":134413,"journal":{"name":"Int. J. Adv. Media Commun.","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126987156","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}
引用次数: 1
A semi-supervised locally linear embedding spectral clustering algorithm 半监督局部线性嵌入谱聚类算法
Int. J. Adv. Media Commun. Pub Date : 2017-08-23 DOI: 10.1504/IJAMC.2017.10006889
Xi Wu, Wang-jie Sun
{"title":"A semi-supervised locally linear embedding spectral clustering algorithm","authors":"Xi Wu, Wang-jie Sun","doi":"10.1504/IJAMC.2017.10006889","DOIUrl":"https://doi.org/10.1504/IJAMC.2017.10006889","url":null,"abstract":"Many practical problems can be attributed to the clustering problem. Spectral clustering algorithm can be clustered in any shape of space, and obtain the global optimal solution. Based on the classical Ng-Jordan-Weiss (NJW) algorithm, utilising the supervision information to guide the clustering process, the result of clustering is more accurate. Meanwhile, combined the manifold learning with semi-supervised spectral clustering algorithm, and the data dimension will reduce based on locally linear embedding (LLE). Based on the heuristic thinking, calculated distance matrix, a reasonable number of nearest neighbours could be funded, thus we achieve the purpose of dimension reduction. Moreover, clustering based on reduced dimension data, the same clustering results as the original data could be obtained. Experimental results have shown that this algorithm could achieve better clustering effect on artificial datasets and real datasets.","PeriodicalId":134413,"journal":{"name":"Int. J. Adv. Media Commun.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131449201","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}
引用次数: 2
A method study on the value chain optimisation of tourism industry based on big data 基于大数据的旅游产业价值链优化方法研究
Int. J. Adv. Media Commun. Pub Date : 2017-08-23 DOI: 10.1504/IJAMC.2017.10006886
Yinghua Wang
{"title":"A method study on the value chain optimisation of tourism industry based on big data","authors":"Yinghua Wang","doi":"10.1504/IJAMC.2017.10006886","DOIUrl":"https://doi.org/10.1504/IJAMC.2017.10006886","url":null,"abstract":"The increased demand promotes the development of tourism industry, big data has brought new method for the tourism industry to update value chain and raise industrial development. In this paper, we clarify the definition and characteristics of big data, talking about shaping and upgrading the tourism industry value chain. The internal and external value chain of tourism industry under big data is analysed. Then we put forward the method construction and development countermeasures of tourism industry based on big data.","PeriodicalId":134413,"journal":{"name":"Int. J. Adv. Media Commun.","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124641463","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}
引用次数: 1
Structured sparsity model with spatial similarity regularisation for semantic feature selection 基于空间相似度正则化的语义特征选择结构稀疏模型
Int. J. Adv. Media Commun. Pub Date : 2017-08-23 DOI: 10.1504/IJAMC.2017.10006892
Weihua Ou, Wenjun Xiao
{"title":"Structured sparsity model with spatial similarity regularisation for semantic feature selection","authors":"Weihua Ou, Wenjun Xiao","doi":"10.1504/IJAMC.2017.10006892","DOIUrl":"https://doi.org/10.1504/IJAMC.2017.10006892","url":null,"abstract":"In the prediction of brain activity associated with concrete concepts, the main task is to construct a computational model to reveal the neural basis of the concepts. However, the ordinary regression model cannot select desired semantic features and easily over-fitting. To address these problems, in this paper, we propose a structured sparsity model to automatically choose the relevant semantic features by exploiting the sparsity of responses and the spatial relationships between the voxels. Specifically, we require the number of the non-zero responses to be sparse and the responses that two voxels are nearby in the brain to be similar. The constraints do not only regularise the model fitting but also have an interpretation in terms of brain hemodynamics. The experimental results on predicting brain images show the effectiveness of the proposed approach, as well as improved interpretability.","PeriodicalId":134413,"journal":{"name":"Int. J. Adv. Media Commun.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116828779","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}
引用次数: 0
Gradient vector flow combined saliency analysis for active contours 活动轮廓的梯度矢量流联合显著性分析
Int. J. Adv. Media Commun. Pub Date : 2017-08-23 DOI: 10.1504/IJAMC.2017.10006887
Ruzheng Zhao, Zhiheng Zhou, Ming Dai, Jie Tang
{"title":"Gradient vector flow combined saliency analysis for active contours","authors":"Ruzheng Zhao, Zhiheng Zhou, Ming Dai, Jie Tang","doi":"10.1504/IJAMC.2017.10006887","DOIUrl":"https://doi.org/10.1504/IJAMC.2017.10006887","url":null,"abstract":"Image segmentation is one of the key technologies in digital image processing. Gradient vector flow (GVF) active contours model is one of important methods for image segmentation. But GVF method could not deal with complex natural images efficiently. In this paper, a new active contours algorithm is proposed. The proposed algorithm uses the advantage of saliency model in distinguishing objects and background to increasing the ability of GVF method to segment complex images. Experiment results on natural images show the better performances of proposed method compared with the tradition GVF method.","PeriodicalId":134413,"journal":{"name":"Int. J. Adv. Media Commun.","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132222538","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}
引用次数: 0
Improved adaptive multi-objective particle swarm algorithm under big data 大数据下改进的自适应多目标粒子群算法
Int. J. Adv. Media Commun. Pub Date : 2017-08-23 DOI: 10.1504/IJAMC.2017.10006890
Tao Wang
{"title":"Improved adaptive multi-objective particle swarm algorithm under big data","authors":"Tao Wang","doi":"10.1504/IJAMC.2017.10006890","DOIUrl":"https://doi.org/10.1504/IJAMC.2017.10006890","url":null,"abstract":"Boundary handling and the global best guiders' selection are of significance to the performance of the multi-objective particle swarm algorithm. Considering the different characteristics of methods of operation, an improved multi-objective adaptive particle swarm optimisation (IMAPSO) was proposed in this paper. When the algorithm falls into local optimum, start crossover and mutation; when the algorithm's convergence stagnates, switch the boundary handling operator between the truncation and the exponential distribution truncation methods; when the diversity of algorithm has not improved in a given duration, switch the two operations of trim boundary handling and exponential distribution and the simulation results of the standard test functions demonstrate the effectiveness of the algorithm proposed in this paper.","PeriodicalId":134413,"journal":{"name":"Int. J. Adv. Media Commun.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117152266","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}
引用次数: 1
Research on precision marketing data source system based on big data 基于大数据的精准营销数据源系统研究
Int. J. Adv. Media Commun. Pub Date : 2017-08-23 DOI: 10.1504/IJAMC.2017.10006888
Shuang Zhao, Jing Ma
{"title":"Research on precision marketing data source system based on big data","authors":"Shuang Zhao, Jing Ma","doi":"10.1504/IJAMC.2017.10006888","DOIUrl":"https://doi.org/10.1504/IJAMC.2017.10006888","url":null,"abstract":"Under the big data, companies can apply data mining and application to accurately grasp the market changes and customer needs, and then adjust the products and services to enhance the professional and long-term development of enterprises. This paper combined with precision marketing data source system based on big data, research around precision marketing connotation and ideological, and enterprise applications around big data, introducing data standardisation and quality of the model, find a basic method to promote data standardisation, thus to provide reference for constructing data source system based on big data.","PeriodicalId":134413,"journal":{"name":"Int. J. Adv. Media Commun.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132527400","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}
引用次数: 10
An UHD video handling system using a scalable server over an IP network 在IP网络上使用可扩展服务器的超高清视频处理系统
Int. J. Adv. Media Commun. Pub Date : 2017-05-11 DOI: 10.1504/IJAMC.2017.10004860
H. Kimiyama, M. Maruyama, Masayuki Kobayashi, Masao Sakai, Satria Mandala
{"title":"An UHD video handling system using a scalable server over an IP network","authors":"H. Kimiyama, M. Maruyama, Masayuki Kobayashi, Masao Sakai, Satria Mandala","doi":"10.1504/IJAMC.2017.10004860","DOIUrl":"https://doi.org/10.1504/IJAMC.2017.10004860","url":null,"abstract":"Ultra-high definition (UHD) videos, such as 4K and 8K, have four times higher resolution than current HDTV videos. Broadcasting stations want to deliver these videos with as little loss as possible. However, uncompressed UHD video handling systems, such as storage and transmission systems, on IP networks are not available. We researched and developed a scalable high-speed video server system to store and deliver HD or 4K videos without compression by adapting a PC cluster technology. To handle videos with higher resolution than 4K, we also developed a method that synchronises with multiple the servers and 4K video transmission systems. We achieved 54 Gbit/s delivery performance with single cluster server comprising 24 PCs. We also implemented the synchronisation method on the server and QG-70 video transmission system. As a result, we were able to demonstrate the world's first bi-directional, real-time, uncompressed 8K-video transmission system and the 8K video-on-demand system.","PeriodicalId":134413,"journal":{"name":"Int. J. Adv. Media Commun.","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115699929","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}
引用次数: 1
Detection of metamorphic malicious mobile code on android-based smartphones 基于android智能手机的变形恶意移动代码检测
Int. J. Adv. Media Commun. Pub Date : 2017-05-11 DOI: 10.1504/IJAMC.2017.10004905
S. Kim, Hyung-Woo Lee, Jae-Deok Lim, Jeongnyeo Kim
{"title":"Detection of metamorphic malicious mobile code on android-based smartphones","authors":"S. Kim, Hyung-Woo Lee, Jae-Deok Lim, Jeongnyeo Kim","doi":"10.1504/IJAMC.2017.10004905","DOIUrl":"https://doi.org/10.1504/IJAMC.2017.10004905","url":null,"abstract":"By repackaging a malicious code into reverse compiled legitimate mobile code, malware authors can bypass detection step on existing mobile vaccine software using inserting AES-encrypted root exploits to loading some payload from a malicious remote server dynamically. In this case, malicious codes are constantly changing to evade detection steps by continuing its evolution by operating a metamorphic code by adding new propagation vectors, functionality, and stealth techniques to hide its presence and evade the detection of antivirus software. Those metamorphic features are aimed at changing the form of each instance of the malware by using encryption or appended/pre-pended dummy code into internal code of mobile apps. Therefore, we propose a new system to determine and detect metamorphic malicious mobile code by extracting dynamic features activated from Android platform using extended dynamic analysis technique.","PeriodicalId":134413,"journal":{"name":"Int. J. Adv. Media Commun.","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134515236","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}
引用次数: 0
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