To address the issue of finegrained classification of Internet multimedia traffic from a Quality of Service(QoS) perspective with a suitable granularity, this paper defines a new set of QoS classes and presents a modi...To address the issue of finegrained classification of Internet multimedia traffic from a Quality of Service(QoS) perspective with a suitable granularity, this paper defines a new set of QoS classes and presents a modified K-Singular Value Decomposition(K-SVD) method for multimedia identification. After analyzing several instances of typical Internet multimedia traffic captured in a campus network, this paper defines a new set of QoS classes according to the difference in downstream/upstream rates and proposes a modified K-SVD method that can automatically search for underlying structural patterns in the QoS characteristic space. We define bagQoS-words as the set of specific QoS local patterns, which can be expressed by core QoS characteristics. After the dictionary is constructed with an excess quantity of bag-QoSwords, Locality Constrained Feature Coding(LCFC) features of QoS classes are extracted. By associating a set of characteristics with a percentage of error, an objective function is formulated. In accordance with the modified K-SVD, Internet multimedia traffic can be classified into a corresponding QoS class with a linear Support Vector Machines(SVM) clas-sifier. Our experimental results demonstrate the feasibility of the proposed classification method.展开更多
In recent years, bank credit business is booming with the increasing borrowing retention o~ China＇s listed companies, and debt financing has become the major approach among listed companies＇ financing strategies. As...In recent years, bank credit business is booming with the increasing borrowing retention o~ China＇s listed companies, and debt financing has become the major approach among listed companies＇ financing strategies. As a series of institutional arrangements about rights, responsibilities and benefits between different shareholders, corporate governance mechanism has a significant influence on the cost of debt financing. This paper employs variable coefficient panel data model to investigate the relationship of the listed company＇s debt financing costs and corporate governance mechanism in terms of structural characteristics and time series characteristics. The results show that optimizing the structure of both Board of Directors and Board of Supervisors, establishing a reasonable management incentive system and reducing the concentration of ownership properly can directly contribute to a lower company＇s debt financing costs. Meanwhile, property rights have an interactive influence on corporate governance from four aspects, which indirectly effect in company＇s debt financing costs.展开更多
基金supported in part by the National Natural Science Foundation of China (NO. 61401004, 61271233, 60972038)Plan of introduction and cultivation of university leading talents in Anhui (No.gxfxZ D2016013)+3 种基金the Natural Science Foundation of the Higher Education Institutions of Anhui Province, China (No. KJ2010B357)Startup Project of Anhui Normal University Doctor Scientific Research (No.2016XJJ129)the US National Science Foundation under grants CNS1702957 and ACI-1642133the Wireless Engineering Research and Education Center at Auburn University
文摘To address the issue of finegrained classification of Internet multimedia traffic from a Quality of Service(QoS) perspective with a suitable granularity, this paper defines a new set of QoS classes and presents a modified K-Singular Value Decomposition(K-SVD) method for multimedia identification. After analyzing several instances of typical Internet multimedia traffic captured in a campus network, this paper defines a new set of QoS classes according to the difference in downstream/upstream rates and proposes a modified K-SVD method that can automatically search for underlying structural patterns in the QoS characteristic space. We define bagQoS-words as the set of specific QoS local patterns, which can be expressed by core QoS characteristics. After the dictionary is constructed with an excess quantity of bag-QoSwords, Locality Constrained Feature Coding(LCFC) features of QoS classes are extracted. By associating a set of characteristics with a percentage of error, an objective function is formulated. In accordance with the modified K-SVD, Internet multimedia traffic can be classified into a corresponding QoS class with a linear Support Vector Machines(SVM) clas-sifier. Our experimental results demonstrate the feasibility of the proposed classification method.
基金This research is supported by the National Natural Science Foundation of China under Grant No.71003115Collaborative Innovation CenterResearch Innovation Team Supporting Plan of the Central University of Finance and Economics
文摘In recent years, bank credit business is booming with the increasing borrowing retention o~ China＇s listed companies, and debt financing has become the major approach among listed companies＇ financing strategies. As a series of institutional arrangements about rights, responsibilities and benefits between different shareholders, corporate governance mechanism has a significant influence on the cost of debt financing. This paper employs variable coefficient panel data model to investigate the relationship of the listed company＇s debt financing costs and corporate governance mechanism in terms of structural characteristics and time series characteristics. The results show that optimizing the structure of both Board of Directors and Board of Supervisors, establishing a reasonable management incentive system and reducing the concentration of ownership properly can directly contribute to a lower company＇s debt financing costs. Meanwhile, property rights have an interactive influence on corporate governance from four aspects, which indirectly effect in company＇s debt financing costs.
