The Experts below are selected from a list of 1101 Experts worldwide ranked by ideXlab platform
Chen Wenjun - One of the best experts on this subject based on the ideXlab platform.
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Design of Interactive Visualizations for Next-Generation Ultra-Large Communication Networks
Scholarship@Western, 2021Co-Authors: Chen Wenjun, Haque Anwar, Sedig KamranAbstract:© 2013 IEEE. With the increasing size and complexity of next-generation communication networks, it is critical to utilize interactive visualizations to support the monitoring, planning, and management of networks. Effectively visualizing large-scale networks is difficult with traditional methods because of the high link density and complex node relationships. Given the limited screen space, to assist Internet Service Provider\u27s (ISP) network planning and management activities, investigating how to present ultra-large-scale network data efficiently is crucial. This paper presents a real-Time interactive visualization system that combines the design strategies of Progressive Disclosure and multiple panels to elegantly visualize the large-scale networks and avoid the information-overload problem. The system also visualizes the configuration of the network elements and provides the network performance information, including the port-level Quality of Service (QoS) metrics. Furthermore, the system enables navigation through the port-level connection and provides different modes for multiple purposes
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Design of Interactive Visualizations for Next-Generation Ultra-Large Communication Networks
Scholarship@Western, 2020Co-Authors: Chen WenjunAbstract:With the increasing size and complexity of next-generation communication networks, it is critical to utilize interactive information visualization to support the network monitoring, planning, and management. Effectively visualizing large-scale networks has been considered difficult with traditional methods because of the high link density and complicated node relationship. Given the limited screen space, it is essential to explore how to present ultra-large-scale network data efficiently that can assist Internet Service Provider’s (ISP) network planning and management activities. This work proposes a design of the real-time interactive visualization system that combines the idea of Progressive Disclosure and multiple panels to elegantly visualize the large-scale network and avoid the information-overloaded problem. The system also visualizes the configuration of the network elements and provides the network performance information, including the port-level Quality of Service (QoS) metrics. Additionally, the system enables navigation through the port-level connection and provides different modes for multiple purposes
Epskamp S. - One of the best experts on this subject based on the ideXlab platform.
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JASP: Graphical statistical software for common statistical designs
'Foundation for Open Access Statistic', 2019Co-Authors: Love J., Selker R., Marsman M., Jamil T., Dropmann D., Verhagen J., Ly A., Gronau Q.f., Šmíra M., Epskamp S.Abstract:This paper introduces JASP, a free graphical software package for basic statistical procedures such as t tests, ANOVAs, linear regression models, and analyses of contingency tables. JASP is open-source and differentiates itself from existing open-source solutions in two ways. First, JASP provides several innovations in user interface design; specifically, results are provided immediately as the user makes changes to options, output is attractive, minimalist, and designed around the principle of Progressive Disclosure, and analyses can be peer reviewed without requiring a “syntax”. Second, JASP provides some of the recent developments in Bayesian hypothesis testing and Bayesian parameter estimation. The ease with which these relatively complex Bayesian techniques are available in JASP encourages their broader adoption and furthers a more inclusive statistical reporting practice. The JASP analyses are implemented in R and a series of R packages
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JASP: Graphical statistical software for common statistical designs
'Foundation for Open Access Statistic', 2019Co-Authors: Love J., Selker R., Marsman M., Jamil T., Dropmann D., Verhagen J., Ly A., Šmíra M., Gronau Q. F., Epskamp S.Abstract:This paper introduces JASP, a free graphical software package for basic statistical procedures such as t tests, ANOVAs, linear regression models, and analyses of contingency tables. JASP is open-source and differentiates itself from existing open-source solutions in two ways. First, JASP provides several innovations in user interface design; specifically, results are provided immediately as the user makes changes to options, output is attractive, minimalist, and designed around the principle of Progressive Disclosure, and analyses can be peer reviewed without requiring a “syntax”. Second, JASP provides some of the recent developments in Bayesian hypothesis testing and Bayesian parameter estimation. The ease with which these relatively complex Bayesian techniques are available in JASP encourages their broader adoption and furthers a more inclusive statistical reporting practice. The JASP analyses are implemented in R and a series of R packages. © 2019, American Statistical Association. All rights reserved
Sedig Kamran - One of the best experts on this subject based on the ideXlab platform.
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Design of Interactive Visualizations for Next-Generation Ultra-Large Communication Networks
Scholarship@Western, 2021Co-Authors: Chen Wenjun, Haque Anwar, Sedig KamranAbstract:© 2013 IEEE. With the increasing size and complexity of next-generation communication networks, it is critical to utilize interactive visualizations to support the monitoring, planning, and management of networks. Effectively visualizing large-scale networks is difficult with traditional methods because of the high link density and complex node relationships. Given the limited screen space, to assist Internet Service Provider\u27s (ISP) network planning and management activities, investigating how to present ultra-large-scale network data efficiently is crucial. This paper presents a real-Time interactive visualization system that combines the design strategies of Progressive Disclosure and multiple panels to elegantly visualize the large-scale networks and avoid the information-overload problem. The system also visualizes the configuration of the network elements and provides the network performance information, including the port-level Quality of Service (QoS) metrics. Furthermore, the system enables navigation through the port-level connection and provides different modes for multiple purposes
Love J. - One of the best experts on this subject based on the ideXlab platform.
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JASP: Graphical statistical software for common statistical designs
'Foundation for Open Access Statistic', 2019Co-Authors: Love J., Selker R., Marsman M., Jamil T., Dropmann D., Verhagen J., Ly A., Gronau Q.f., Šmíra M., Epskamp S.Abstract:This paper introduces JASP, a free graphical software package for basic statistical procedures such as t tests, ANOVAs, linear regression models, and analyses of contingency tables. JASP is open-source and differentiates itself from existing open-source solutions in two ways. First, JASP provides several innovations in user interface design; specifically, results are provided immediately as the user makes changes to options, output is attractive, minimalist, and designed around the principle of Progressive Disclosure, and analyses can be peer reviewed without requiring a “syntax”. Second, JASP provides some of the recent developments in Bayesian hypothesis testing and Bayesian parameter estimation. The ease with which these relatively complex Bayesian techniques are available in JASP encourages their broader adoption and furthers a more inclusive statistical reporting practice. The JASP analyses are implemented in R and a series of R packages
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JASP: Graphical statistical software for common statistical designs
'Foundation for Open Access Statistic', 2019Co-Authors: Love J., Selker R., Marsman M., Jamil T., Dropmann D., Verhagen J., Ly A., Šmíra M., Gronau Q. F., Epskamp S.Abstract:This paper introduces JASP, a free graphical software package for basic statistical procedures such as t tests, ANOVAs, linear regression models, and analyses of contingency tables. JASP is open-source and differentiates itself from existing open-source solutions in two ways. First, JASP provides several innovations in user interface design; specifically, results are provided immediately as the user makes changes to options, output is attractive, minimalist, and designed around the principle of Progressive Disclosure, and analyses can be peer reviewed without requiring a “syntax”. Second, JASP provides some of the recent developments in Bayesian hypothesis testing and Bayesian parameter estimation. The ease with which these relatively complex Bayesian techniques are available in JASP encourages their broader adoption and furthers a more inclusive statistical reporting practice. The JASP analyses are implemented in R and a series of R packages. © 2019, American Statistical Association. All rights reserved
Dropmann D. - One of the best experts on this subject based on the ideXlab platform.
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JASP: Graphical statistical software for common statistical designs
'Foundation for Open Access Statistic', 2019Co-Authors: Love J., Selker R., Marsman M., Jamil T., Dropmann D., Verhagen J., Ly A., Gronau Q.f., Šmíra M., Epskamp S.Abstract:This paper introduces JASP, a free graphical software package for basic statistical procedures such as t tests, ANOVAs, linear regression models, and analyses of contingency tables. JASP is open-source and differentiates itself from existing open-source solutions in two ways. First, JASP provides several innovations in user interface design; specifically, results are provided immediately as the user makes changes to options, output is attractive, minimalist, and designed around the principle of Progressive Disclosure, and analyses can be peer reviewed without requiring a “syntax”. Second, JASP provides some of the recent developments in Bayesian hypothesis testing and Bayesian parameter estimation. The ease with which these relatively complex Bayesian techniques are available in JASP encourages their broader adoption and furthers a more inclusive statistical reporting practice. The JASP analyses are implemented in R and a series of R packages
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JASP: Graphical statistical software for common statistical designs
'Foundation for Open Access Statistic', 2019Co-Authors: Love J., Selker R., Marsman M., Jamil T., Dropmann D., Verhagen J., Ly A., Šmíra M., Gronau Q. F., Epskamp S.Abstract:This paper introduces JASP, a free graphical software package for basic statistical procedures such as t tests, ANOVAs, linear regression models, and analyses of contingency tables. JASP is open-source and differentiates itself from existing open-source solutions in two ways. First, JASP provides several innovations in user interface design; specifically, results are provided immediately as the user makes changes to options, output is attractive, minimalist, and designed around the principle of Progressive Disclosure, and analyses can be peer reviewed without requiring a “syntax”. Second, JASP provides some of the recent developments in Bayesian hypothesis testing and Bayesian parameter estimation. The ease with which these relatively complex Bayesian techniques are available in JASP encourages their broader adoption and furthers a more inclusive statistical reporting practice. The JASP analyses are implemented in R and a series of R packages. © 2019, American Statistical Association. All rights reserved
