The Experts below are selected from a list of 7572 Experts worldwide ranked by ideXlab platform

Takeshi Yagihashi - One of the best experts on this subject based on the ideXlab platform.

  • Estimating Taylor rules in a credit Channel Environment
    The North American Journal of Economics and Finance, 2011
    Co-Authors: Takeshi Yagihashi
    Abstract:

    There is a general belief that policymakers take into account credit Channel conditions when deciding monetary policy. However, literature lacks evidence on the specific role of credit Channel in monetary policymaking. This paper estimates an extended version of the Taylor rule by incorporating credit Channel variables explicitly. In particular, net worth capital ratio, bankruptcy cost and default rate are included in the model, motivated by the model of Bernanke, Gertler, and Gilchrist (1999). Among the added credit Channel variables, net worth capital ratio is both statistically and economically significant during 1989–2008. We test the potential misspecification of the estimated model by allowing the serial correlation of errors arising from the omitted variables to enter the Taylor rule specification. This experiment confirms that our main findings are robust to such model misspecifications.

  • Estimating Taylor rules in a credit Channel Environment
    North American Journal of Economics and Finance, 2011
    Co-Authors: Takeshi Yagihashi
    Abstract:

    There is a general belief that policymakers take into account credit Channel conditions when deciding monetary policy. However, literature lacks evidence on the specific role of credit Channel in monetary policymaking. This paper estimates an extended version of the Taylor rule by incorporating credit Channel variables explicitly. In particular, net worth capital ratio, bankruptcy cost and default rate are included in the model, motivated by the model of Bernanke, Gertler, and Gilchrist (1999). Among the added credit Channel variables, net worth capital ratio is both statistically and economically significant during 1989-2008. We test the potential misspecification of the estimated model by allowing the serial correlation of errors arising from the omitted variables to enter the Taylor rule specification. This experiment confirms that our main findings are robust to such model misspecifications. © 2011 Elsevier Inc.

Sung-yoon Jung - One of the best experts on this subject based on the ideXlab platform.

  • APCC - A SNR analysis of the visible light Channel Environment for visible light communication
    2012 18th Asia-Pacific Conference on Communications (APCC), 2012
    Co-Authors: Sung-yoon Jung
    Abstract:

    In this paper, we provide Signal-to-Noise Ratio (SNR) analysis of visible light Channel Environment reflecting practical conditions for the usage of Visible Light Communication (VLC) in Intelligent Transportation System (ITS). Considering practical LED lights (Headlamp and Streetlamp), we perform 3D computer simulations in two ITS scenario. Through simulation, we can notice that VLC can be used even in day time in Vehicle-to-Infra (V2I) scenario cases. However, more study about how to mitigate day time ambient noise is still required to support VLC in day time Vehicle-to-Vehicle (V2V) scenario.

  • A SNR analysis of the visible light Channel Environment for visible light communication
    2012 18th Asia-Pacific Conference on Communications (APCC), 2012
    Co-Authors: Sung-yoon Jung
    Abstract:

    In this paper, we provide Signal-to-Noise Ratio (SNR) analysis of visible light Channel Environment reflecting practical conditions for the usage of Visible Light Communication (VLC) in Intelligent Transportation System (ITS). Considering practical LED lights (Headlamp and Streetlamp), we perform 3D computer simulations in two ITS scenario. Through simulation, we can notice that VLC can be used even in day time in Vehicle-to-Infra (V2I) scenario cases. However, more study about how to mitigate day time ambient noise is still required to support VLC in day time Vehicle-to-Vehicle (V2V) scenario.

Yingchun Yang - One of the best experts on this subject based on the ideXlab platform.

  • SMC - Speaker recognition system in multi-Channel Environment
    SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems Man and Cybernetics. Conference Theme - System Security and Assurance (Ca, 2003
    Co-Authors: Lifeng Sang, Zhaohui Wu, Yingchun Yang
    Abstract:

    Expansions of mobile services and private data have required increased level of protection. Speaker recognition, one of the biometric technologies, arises lots of research interests for its simple, cheap and convenient characteristics. In this paper, a robust speaker recognition system which facilitates reliable authentication with multi-Channel voices is presented. A large multi-Channel corpus, including mobile phone, personal digital assistant (PDA), telephone and microphone, is collected to evaluate the system performance.

  • Speaker recognition system in multi-Channel Environment
    SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems Man and Cybernetics. Conference Theme - System Security and Assurance (Ca, 2003
    Co-Authors: Lifeng Sang, Zhaohui Wu, Yingchun Yang
    Abstract:

    Expansions of mobile services and private data have required increased level of protection. Speaker recognition, one of the biometric technologies, arises lots of research interests for its simple, cheap and convenient characteristics. In this paper, a robust speaker recognition system which facilitates reliable authentication with multi-Channel voices is presented. A large multi-Channel corpus, including mobile phone, personal digital assistant (PDA), telephone and microphone, is collected to evaluate the system performance.

Sangkyu Park - One of the best experts on this subject based on the ideXlab platform.

  • SIC-based Channel Estimation for LTE UE
    2020
    Co-Authors: Sangkyu Park, Hichan Moon
    Abstract:

    This paper presents an improved Channel estimation based on successive interference cancellation (SIC) for a multi-cell Channel Environment. The proposed SICbased Channel estimation reduces interference by eliminating the interference received from the neighboring cell.

  • An empirical study on consumer online shopping Channel choice behavior in omni-Channel Environment
    Telematics and Informatics, 2017
    Co-Authors: Sangkyu Park
    Abstract:

    Communication strategy affects consumer online purchase Channel choice behavior.Consumer fixate the Channel which they inflow.Time invariant of mobile Channel use is observed, while others not.Goods such as experience/credence goods tend to be purchased via mobile.Substitution (cannibalization) effects are mostly observed between online Channels. With the rapid diffusion of smart devices, retailers provide new forms of interactive communication Channels, enabling their consumers to access through the mobile Channel. The retailers recognize the importance of the mobile Channel as an efficient sales Channel and as a tool for CRM (Customer Relationship Management). However, CRM has become increasingly complex after adopting it to the mobile Channel. It is imperative for retailers to understand consumer behavior in an omni-Channel circumstance. Using the four-year transaction data obtained from the online home-shopping provider that expanded its online service (telephone, ARS, Internet website) onto a mobile platform, this research analyzes the consumer Channel choice behavior in the perspectives of consumer sociodemographic information, consumer behavior, and corporate communication strategies. To explain Channel choices in the omni-Channel Environment, we use multivariate probit model with sociodemographic variables, communication strategies, order hour, and product categories. Our empirical results indicate that age and gender have significant influences on Channel choice behavior. Consumer fixates their inflow Channel. Communication strategies such as SMS and app push alarm significantly influence consumer Channel choice. Consumers using mobile Channel are making purchases without time constraints, while others not. We observed that products that have characteristics of experience goods or credence goods tend to be purchased via mobile and Internet Channels that provide detailed and additive information like consumer reviews. Finally, the results revealed substitution effect between most of the Channels, except for the Internet and telephone. Our investigation contributes to omni-Channel online shopping literature by empirically testing the choice behavior, cross-Channel effects, and also by providing insights for online retailers.

  • An empirical study on consumer online shopping Channel choice behavior in omni-Channel Environment
    Telematics and Informatics, 2017
    Co-Authors: Sangkyu Park, Dongwon Lee
    Abstract:

    With the rapid diffusion of smart devices, retailers provide new forms of interactive communication Channels, enabling their consumers to access through the mobile Channel. The retailers recognize the importance of the mobile Channel as an efficient sales Channel and as a tool for CRM (Customer Relationship Management). However, CRM has become increasingly complex after adopting it to the mobile Channel. It is imperative for retailers to understand consumer behavior in an omni-Channel circumstance. Using the four-year transaction data obtained from the online home-shopping provider that expanded its online service (telephone, ARS, Internet website) onto a mobile platform, this research analyzes the consumer Channel choice behavior in the perspectives of consumer sociodemographic information, consumer behavior, and corporate communication strategies. To explain Channel choices in the omni-Channel Environment, we use multivariate probit model with sociodemographic variables, communication strategies, order hour, and product categories. Our empirical results indicate that age and gender have significant influences on Channel choice behavior. Consumer fixates their inflow Channel. Communication strategies such as SMS and app push alarm significantly influence consumer Channel choice. Consumers using mobile Channel are making purchases without time constraints, while others not. We observed that products that have characteristics of experience goods or credence goods tend to be purchased via mobile and Internet Channels that provide detailed and additive information like consumer reviews. Finally, the results revealed substitution effect between most of the Channels, except for the Internet and telephone. Our investigation contributes to omni-Channel online shopping literature by empirically testing the choice behavior, cross-Channel effects, and also by providing insights for online retailers.

Lifeng Sang - One of the best experts on this subject based on the ideXlab platform.

  • SMC - Speaker recognition system in multi-Channel Environment
    SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems Man and Cybernetics. Conference Theme - System Security and Assurance (Ca, 2003
    Co-Authors: Lifeng Sang, Zhaohui Wu, Yingchun Yang
    Abstract:

    Expansions of mobile services and private data have required increased level of protection. Speaker recognition, one of the biometric technologies, arises lots of research interests for its simple, cheap and convenient characteristics. In this paper, a robust speaker recognition system which facilitates reliable authentication with multi-Channel voices is presented. A large multi-Channel corpus, including mobile phone, personal digital assistant (PDA), telephone and microphone, is collected to evaluate the system performance.

  • Speaker recognition system in multi-Channel Environment
    SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems Man and Cybernetics. Conference Theme - System Security and Assurance (Ca, 2003
    Co-Authors: Lifeng Sang, Zhaohui Wu, Yingchun Yang
    Abstract:

    Expansions of mobile services and private data have required increased level of protection. Speaker recognition, one of the biometric technologies, arises lots of research interests for its simple, cheap and convenient characteristics. In this paper, a robust speaker recognition system which facilitates reliable authentication with multi-Channel voices is presented. A large multi-Channel corpus, including mobile phone, personal digital assistant (PDA), telephone and microphone, is collected to evaluate the system performance.