We cast vehicle recognition as problem of feature representation and classification, and introduce a sparse learning based framework for vehicle recognition and classification in this paper. After objects captured wit...We cast vehicle recognition as problem of feature representation and classification, and introduce a sparse learning based framework for vehicle recognition and classification in this paper. After objects captured with a GMM background subtraction program, images are labeled with vehicle type for dictionary learning and decompose the images with sparse coding （SC）, a linear SVM trained with the SC feature for vehicle classification. A simple but efficient active learning stategy is adopted by adding the false positive samples into previous training set for dictionary and SVM model retraining. Compared with traditional feature representation and classification realized with SVM, SC method achieves dramatically improvement on classification accuracy and exhibits strong robustness. The work is also validated on real-world surveillance video.展开更多
Video data location plays a key role for Peer-to-Peer （P2P） live streaming applications. In this paper, we propose a new one-hop Distributed Hash Table （DHT） lookup frarrework called Strearre ing-DHT （SDHT） to p...Video data location plays a key role for Peer-to-Peer （P2P） live streaming applications. In this paper, we propose a new one-hop Distributed Hash Table （DHT） lookup frarrework called Strearre ing-DHT （SDHT） to provide efficient video data location service. By adopting an enhanced events dissemination mechanism-EDRA＋, the accuracy of routing table at peers can be guaranteed. More importantly, in order to enhance the perforlmnce of video data lookup operation without incurring extra overhead, we design a so-called Distributed Index Mapping and Management Mechanism （DIMM） for SDHT. Both analytical modeling and intensive simulation experiments are conducted to demonstrate the effectiveness of SDHT framework. Numerical results show that almost 90% requested video data can be retrieved within one second in SDHT based systems, and SDHT needs only 26% average bandwidth consumption when compared with similar one-hop DHT solutions such as D1HT. This indicates that SDHT framework is an appropriate data lookup solution for time-sensitive network applications such as P2P live streaming.展开更多
The paper presents a framework for developing a variety of video transition effects. The framework is designed to deal with the problem of inefficiency for programmers to generate more and more diversified video trans...The paper presents a framework for developing a variety of video transition effects. The framework is designed to deal with the problem of inefficiency for programmers to generate more and more diversified video transition, which is caused by excessive coupling between the sub-modules of the system. So the framework is designed to be modular, flexible and extensible. Based on the analysis of common features of different effects, the implementation of video transition effect is divided into 4 sub-odules, each of which can be designed and developed independently. Furthermore, these sub-modules can be easily sub- stituted, modified and reused. We present a formal description of our framework, and give typical study cases to show the extensive utility of the framework.展开更多
The paper addresses the disconnected students experience between evaluating their own writing and traditional evaluation methods, despite effective discussion and analysis in the classroom, especially, wide when stude...The paper addresses the disconnected students experience between evaluating their own writing and traditional evaluation methods, despite effective discussion and analysis in the classroom, especially, wide when students＇ reading skills are limited. The paper considers the application of flipping students＇ intense interest and intimate comprehension of video gaming into a lens for evaluating their writing. The sophisticated storylines in some literacy-laden video games rivet students＇ attention in higher order applications while the intricate plots and characters mirror those literary elements taught in print media. Garner comprehension is demandingly complex; transferring literary elements from the game storyline to their writing provides the comprehension carry-over for effective self-evaluation. They can ＂see＂ as a metaphor, those parallel concepts from screen to print, from playing strengths to reading and writing, for them, literary qualities become more transparent, and thus more accessible.展开更多
The rapid increase in resource sharing across domains in the cloud comput- ing environment makes the task of managing inter-domain access control policy integration difficult for the security administrators. Al- thoug...The rapid increase in resource sharing across domains in the cloud comput- ing environment makes the task of managing inter-domain access control policy integration difficult for the security administrators. Al- though a number of policy integration and sec- urity analysis mechanisms have been devel- oped, few focus on enabling the average ad- ministrator by providing an intuitive cognitive sense about the integrated policies, which considerably undermines the usability factor. In this paper we propose a visualization flame- work for inter-domain access control policy integration, which integrates Role Based Ac- cess Control （RBAC） policies on the basis of role-mapping and then visualizes the inte- grated result. The role mapping algorithm in the framework considers the hybrid role hier- archy. It can not only satisfy the security con- straints of non-cyclic inheritance and separa- tion of duty but also make visualization easier. The framework uses role-permission trees and semantic substrates to visualize the integrated policies. Through the interactive policy query visualization, the average administrator can gain an intuitive understanding of the policy integration result.展开更多
Many Internet-GIS have been implemented on the web and they are increasingly becoming an important part of multimedia cartography that has much more users as compared to traditional GIS production media.Internet GIS t...Many Internet-GIS have been implemented on the web and they are increasingly becoming an important part of multimedia cartography that has much more users as compared to traditional GIS production media.Internet GIS technology has provided the GIS dynamic information acquisition with technical support.Also,the visualization technology of electronic map has provided tools for GIS symbols with dynamic characteristics.On the basis of GIS dynamic information acquisition,the design idea and implementation methods of dynamic symbols in dynamic GIS are presented in this article.展开更多
The aim of this paper is to assess business performances of a satellite TV--Korea Telecom Skylife （KTS）---to innovate its business model related to current technical events such as hybrid platform, digital conversio...The aim of this paper is to assess business performances of a satellite TV--Korea Telecom Skylife （KTS）---to innovate its business model related to current technical events such as hybrid platform, digital conversion, and Intemet connected TV. For this, a theoretical logic is approached what levels of business model innovations there are, based on the ＂business model framework （BMF）＂ theory by Henry Chesbrough. Based on this theoretical backdrop, this study focuses on KTS＇s approach to utilize technical events to develop its business model and contribute to the company＇s earnings and operating cost expenditure. In conclusion, it will show the feasibility and the limitation to upgrade this firm＇s business model innovation in the smart media business ecosystem based on the last technical event, Internet connected TV.展开更多
A multivariate method for fault diagnosis and process monitoring is proposed. This technique is based on a statistical pattern(SP) framework integrated with a self-organizing map(SOM). An SP-based SOM is used as a cla...A multivariate method for fault diagnosis and process monitoring is proposed. This technique is based on a statistical pattern(SP) framework integrated with a self-organizing map(SOM). An SP-based SOM is used as a classifier to distinguish various states on the output map, which can visually monitor abnormal states. A case study of the Tennessee Eastman(TE) process is presented to demonstrate the fault diagnosis and process monitoring performance of the proposed method. Results show that the SP-based SOM method is a visual tool for real-time monitoring and fault diagnosis that can be used in complex chemical processes.Compared with other SOM-based methods, the proposed method can more efficiently monitor and diagnose faults.展开更多
基金the National Natural Science Foundation of China under Grant NO 61472166,NO 61105015,Jiangsu Provincial Natural Science Foundation under Grant NO BK2010366 and Key Laboratory of Cloud Computing and Intelligent Information Processing of Changzhou City under Grand NO CM20123004
文摘We cast vehicle recognition as problem of feature representation and classification, and introduce a sparse learning based framework for vehicle recognition and classification in this paper. After objects captured with a GMM background subtraction program, images are labeled with vehicle type for dictionary learning and decompose the images with sparse coding （SC）, a linear SVM trained with the SC feature for vehicle classification. A simple but efficient active learning stategy is adopted by adding the false positive samples into previous training set for dictionary and SVM model retraining. Compared with traditional feature representation and classification realized with SVM, SC method achieves dramatically improvement on classification accuracy and exhibits strong robustness. The work is also validated on real-world surveillance video.
基金Acknowledgements This work was supported by the Key Projects for Science and Technology Development under Caant No. 2009ZX03004-002 the National Natural Science Foundation of China under Gants No. 60833002, No. 60772142+1 种基金 the National Science and Technology Fundamental Project under Grant No. 2008ZX03003-005 the Science ＆ Technology Research Project of Chongqing Education Committee under Crant No. KJ120825.
文摘Video data location plays a key role for Peer-to-Peer （P2P） live streaming applications. In this paper, we propose a new one-hop Distributed Hash Table （DHT） lookup frarrework called Strearre ing-DHT （SDHT） to provide efficient video data location service. By adopting an enhanced events dissemination mechanism-EDRA＋, the accuracy of routing table at peers can be guaranteed. More importantly, in order to enhance the perforlmnce of video data lookup operation without incurring extra overhead, we design a so-called Distributed Index Mapping and Management Mechanism （DIMM） for SDHT. Both analytical modeling and intensive simulation experiments are conducted to demonstrate the effectiveness of SDHT framework. Numerical results show that almost 90% requested video data can be retrieved within one second in SDHT based systems, and SDHT needs only 26% average bandwidth consumption when compared with similar one-hop DHT solutions such as D1HT. This indicates that SDHT framework is an appropriate data lookup solution for time-sensitive network applications such as P2P live streaming.
文摘The paper presents a framework for developing a variety of video transition effects. The framework is designed to deal with the problem of inefficiency for programmers to generate more and more diversified video transition, which is caused by excessive coupling between the sub-modules of the system. So the framework is designed to be modular, flexible and extensible. Based on the analysis of common features of different effects, the implementation of video transition effect is divided into 4 sub-odules, each of which can be designed and developed independently. Furthermore, these sub-modules can be easily sub- stituted, modified and reused. We present a formal description of our framework, and give typical study cases to show the extensive utility of the framework.
文摘The paper addresses the disconnected students experience between evaluating their own writing and traditional evaluation methods, despite effective discussion and analysis in the classroom, especially, wide when students＇ reading skills are limited. The paper considers the application of flipping students＇ intense interest and intimate comprehension of video gaming into a lens for evaluating their writing. The sophisticated storylines in some literacy-laden video games rivet students＇ attention in higher order applications while the intricate plots and characters mirror those literary elements taught in print media. Garner comprehension is demandingly complex; transferring literary elements from the game storyline to their writing provides the comprehension carry-over for effective self-evaluation. They can ＂see＂ as a metaphor, those parallel concepts from screen to print, from playing strengths to reading and writing, for them, literary qualities become more transparent, and thus more accessible.
基金supported in part by National Key Basic Research Program of China (973 Program) under Grant No.2013CB329603National Natural Science Foundation of China under Grant No.60903191
文摘The rapid increase in resource sharing across domains in the cloud comput- ing environment makes the task of managing inter-domain access control policy integration difficult for the security administrators. Al- though a number of policy integration and sec- urity analysis mechanisms have been devel- oped, few focus on enabling the average ad- ministrator by providing an intuitive cognitive sense about the integrated policies, which considerably undermines the usability factor. In this paper we propose a visualization flame- work for inter-domain access control policy integration, which integrates Role Based Ac- cess Control （RBAC） policies on the basis of role-mapping and then visualizes the inte- grated result. The role mapping algorithm in the framework considers the hybrid role hier- archy. It can not only satisfy the security con- straints of non-cyclic inheritance and separa- tion of duty but also make visualization easier. The framework uses role-permission trees and semantic substrates to visualize the integrated policies. Through the interactive policy query visualization, the average administrator can gain an intuitive understanding of the policy integration result.
文摘Many Internet-GIS have been implemented on the web and they are increasingly becoming an important part of multimedia cartography that has much more users as compared to traditional GIS production media.Internet GIS technology has provided the GIS dynamic information acquisition with technical support.Also,the visualization technology of electronic map has provided tools for GIS symbols with dynamic characteristics.On the basis of GIS dynamic information acquisition,the design idea and implementation methods of dynamic symbols in dynamic GIS are presented in this article.
文摘The aim of this paper is to assess business performances of a satellite TV--Korea Telecom Skylife （KTS）---to innovate its business model related to current technical events such as hybrid platform, digital conversion, and Intemet connected TV. For this, a theoretical logic is approached what levels of business model innovations there are, based on the ＂business model framework （BMF）＂ theory by Henry Chesbrough. Based on this theoretical backdrop, this study focuses on KTS＇s approach to utilize technical events to develop its business model and contribute to the company＇s earnings and operating cost expenditure. In conclusion, it will show the feasibility and the limitation to upgrade this firm＇s business model innovation in the smart media business ecosystem based on the last technical event, Internet connected TV.
基金Project(2013CB733605)supported by the National Basic Research Program of ChinaProject(21176073)supported by the National Natural Science Foundation of ChinaProject supported by the Fundamental Research Funds for the Central Universities,China
文摘A multivariate method for fault diagnosis and process monitoring is proposed. This technique is based on a statistical pattern(SP) framework integrated with a self-organizing map(SOM). An SP-based SOM is used as a classifier to distinguish various states on the output map, which can visually monitor abnormal states. A case study of the Tennessee Eastman(TE) process is presented to demonstrate the fault diagnosis and process monitoring performance of the proposed method. Results show that the SP-based SOM method is a visual tool for real-time monitoring and fault diagnosis that can be used in complex chemical processes.Compared with other SOM-based methods, the proposed method can more efficiently monitor and diagnose faults.
