针对TD-LTE移动通信设备中故障样本,提出一种基于相似度与支持向量机(Support Vector Machine,SVM)相融合的移动通信设备故障诊断算法(Similarity Fusion Based Support Vector Machine in Communication Equipment System,SFBSVM),对...针对TD-LTE移动通信设备中故障样本,提出一种基于相似度与支持向量机(Support Vector Machine,SVM)相融合的移动通信设备故障诊断算法(Similarity Fusion Based Support Vector Machine in Communication Equipment System,SFBSVM),对移动通信设备系统建模和未标记的故障样本进行初始聚类,构造出最终分类器。算法能减少标记样本的数目,降低初选样本对分类器的影响,抑制孤立样本点对分类结果的影响。实验结果表明,SFBSVM计算简单,精度更高,准确率较高且稳定可靠。展开更多
为充分发挥智能手机在运算和信息传输上的优势,基于智能手机和嵌入式数据库设计图书馆读者服务系统。系统选择.NET平台,采用SQLite数据库,实现读者认证和文献资源搜索与预定等基本功能,构建基于Windows Mobile 5.0智能设备的图书馆服务...为充分发挥智能手机在运算和信息传输上的优势,基于智能手机和嵌入式数据库设计图书馆读者服务系统。系统选择.NET平台,采用SQLite数据库,实现读者认证和文献资源搜索与预定等基本功能,构建基于Windows Mobile 5.0智能设备的图书馆服务平台,将智能手机应用于移动图书馆的读者服务系统以提供全天候的服务。展开更多
With network developing and virtualization rising, more and more indoor environment （POIs） such as care, library, office, even bus and subway can provide plenty of bandwidth and computing resources. Meanwhile many p...With network developing and virtualization rising, more and more indoor environment （POIs） such as care, library, office, even bus and subway can provide plenty of bandwidth and computing resources. Meanwhile many people daily spending much time in them are still suffering from the mobile device with limited resources. This situation implies a novel local cloud computing paradigm in which mobile device can leverage nearby resources to facilitate task execution. In this paper, we implement a mobile local computing system based on indoor virtual cloud. This system mainly contains three key components： 1）As to application, we create a parser to generate the ＂method call and cost tree＂ and analyze it to identify resource- intensive methods. 2） As to mobile device, we design a self-learning execution controller to make offtoading decision at runtime. 3） As to cloud, we construct a social scheduling based application-isolation virtual cloud model. The evaluation results demonstrate that our system is effective and efficient by evaluating CPU- intensive calculation application, Memory- intensive image translation application and I/ O-intensive image downloading application.展开更多
This paper proposes a new access architecture onmobile cloud,which introduces a middle layer sitting between mobile devices and their cloud infrastructure.This middle layer is composed of cloudlets which are deployed ...This paper proposes a new access architecture onmobile cloud,which introduces a middle layer sitting between mobile devices and their cloud infrastructure.This middle layer is composed of cloudlets which are deployed by cloud services providers,such as wireless network access points(APs),to improve the performance of mobile cloud servicesand be different from traditional mobile operator mode.Then based on this new architecture.we improve our previous(Attribute-basedencryption) ABE access control scheme on cloud for mobile cloud,which is proposed to offload the main amount of computations to the cloudlet as the function of cloud.Simulationresults demonstratethe new access control scheme takes into consideration response time constraints and network statusof access task execution,while satisfying certain network security for mobile cloud.展开更多
This paper proposes an outdoor guide system using vision-based augmented reality(AR) on mobile devices.Augmented reality provides a virtual-real fusion display interface for outdoor guide.Vision-based methods are more...This paper proposes an outdoor guide system using vision-based augmented reality(AR) on mobile devices.Augmented reality provides a virtual-real fusion display interface for outdoor guide.Vision-based methods are more accurate than GPS or other hardware-based methods.However,vision-based methods require more resources and relatively strong computing power of mobile devices.A C/S framework for vision based augmented reality system is introduced in this paper.In a server,a vocabulary tree is used for location recognition.In a mobile device,BRISK feature is combined with optical flow methods to track the offline keyframe.The system is tested on UKbench datasets and in real environment.Experimental results show that the proposed vision-based augmented reality system works well and yields relatively high recognition rate and that the mobile device achieves realtime recognition performance.展开更多
文摘针对TD-LTE移动通信设备中故障样本,提出一种基于相似度与支持向量机(Support Vector Machine,SVM)相融合的移动通信设备故障诊断算法(Similarity Fusion Based Support Vector Machine in Communication Equipment System,SFBSVM),对移动通信设备系统建模和未标记的故障样本进行初始聚类,构造出最终分类器。算法能减少标记样本的数目,降低初选样本对分类器的影响,抑制孤立样本点对分类结果的影响。实验结果表明,SFBSVM计算简单,精度更高,准确率较高且稳定可靠。
文摘为充分发挥智能手机在运算和信息传输上的优势,基于智能手机和嵌入式数据库设计图书馆读者服务系统。系统选择.NET平台,采用SQLite数据库,实现读者认证和文献资源搜索与预定等基本功能,构建基于Windows Mobile 5.0智能设备的图书馆服务平台,将智能手机应用于移动图书馆的读者服务系统以提供全天候的服务。
基金ACKNOWLEDGEMENTS This work was supported by the Research Fund for the Doctoral Program of Higher Education of China （No.20110031110026 and No.20120031110035）, the National Natural Science Foundation of China （No. 61103214）, and the Key Project in Tianjin Science ＆ Technology Pillar Program （No. 13ZCZDGX01098）.
文摘With network developing and virtualization rising, more and more indoor environment （POIs） such as care, library, office, even bus and subway can provide plenty of bandwidth and computing resources. Meanwhile many people daily spending much time in them are still suffering from the mobile device with limited resources. This situation implies a novel local cloud computing paradigm in which mobile device can leverage nearby resources to facilitate task execution. In this paper, we implement a mobile local computing system based on indoor virtual cloud. This system mainly contains three key components： 1）As to application, we create a parser to generate the ＂method call and cost tree＂ and analyze it to identify resource- intensive methods. 2） As to mobile device, we design a self-learning execution controller to make offtoading decision at runtime. 3） As to cloud, we construct a social scheduling based application-isolation virtual cloud model. The evaluation results demonstrate that our system is effective and efficient by evaluating CPU- intensive calculation application, Memory- intensive image translation application and I/ O-intensive image downloading application.
基金supported by National Natural Science Foundation of China(No.U 1405254, 61472092)China Postdoctoral Science Foundation(No.2015M581101)National Science and Technology SupportingFoundation of China(No.2014BAH41B00)
文摘This paper proposes a new access architecture onmobile cloud,which introduces a middle layer sitting between mobile devices and their cloud infrastructure.This middle layer is composed of cloudlets which are deployed by cloud services providers,such as wireless network access points(APs),to improve the performance of mobile cloud servicesand be different from traditional mobile operator mode.Then based on this new architecture.we improve our previous(Attribute-basedencryption) ABE access control scheme on cloud for mobile cloud,which is proposed to offload the main amount of computations to the cloudlet as the function of cloud.Simulationresults demonstratethe new access control scheme takes into consideration response time constraints and network statusof access task execution,while satisfying certain network security for mobile cloud.
基金Supported by the National Science and Technology Major Project(No.2012ZX03002004)the National High Technology Research and Development Programme of China(No.2013AA013802)
文摘This paper proposes an outdoor guide system using vision-based augmented reality(AR) on mobile devices.Augmented reality provides a virtual-real fusion display interface for outdoor guide.Vision-based methods are more accurate than GPS or other hardware-based methods.However,vision-based methods require more resources and relatively strong computing power of mobile devices.A C/S framework for vision based augmented reality system is introduced in this paper.In a server,a vocabulary tree is used for location recognition.In a mobile device,BRISK feature is combined with optical flow methods to track the offline keyframe.The system is tested on UKbench datasets and in real environment.Experimental results show that the proposed vision-based augmented reality system works well and yields relatively high recognition rate and that the mobile device achieves realtime recognition performance.
