Graphical Desktop

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The Experts below are selected from a list of 168 Experts worldwide ranked by ideXlab platform

Ka Yee Yeung - One of the best experts on this subject based on the ideXlab platform.

  • GUIdock-VNC: using a Graphical Desktop sharing system to provide a browser-based interface for containerized software.
    GigaScience, 2017
    Co-Authors: Varun Mittal, Daniel Kristiyanto, Jayant Keswani, Ling Hong Hung, Ka Yee Yeung
    Abstract:

    Background: Software container technology such as Docker can be used to package and distribute bioinformatics workflows consisting of multiple software implementations and dependencies. However, Docker is a command line-based tool, and many bioinformatics pipelines consist of components that require a Graphical user interface. Results: We present a container tool called GUIdock-VNC that uses a Graphical Desktop sharing system to provide a browser-based interface for containerized software. GUIdock-VNC uses the Virtual Network Computing protocol to render the graphics within most commonly used browsers. We also present a minimal image builder that can add our proposed Graphical Desktop sharing system to any Docker packages, with the end result that any Docker packages can be run using a Graphical Desktop within a browser. In addition, GUIdock-VNC uses the Oauth2 authentication protocols when deployed on the cloud. Conclusions: As a proof-of-concept, we demonstrated the utility of GUIdock-noVNC in gene network inference. We benchmarked our container implementation on various operating systems and showed that our solution creates minimal overhead.

  • GUIdock-VNC: Using a Graphical Desktop sharing system to provide a browser-based interface for containerized software
    GigaScience, 2017
    Co-Authors: Varun Mittal, Daniel Kristiyanto, Sung Bong Lee, Jayant Keswani, Ling Hong Hung, Ka Yee Yeung
    Abstract:

    Software container technology such as Docker can be used to package and distribute bioinformatics workflows consisting of multiple software implementations and dependencies. However, Docker is a command line based tool and many bioinformatics pipelines consist of components that require a Graphical user interface. We present a container tool called GUIdock-VNC that uses a Graphical Desktop sharing system to provide a browser-based interface for containerized software. GUIdock-VNC uses the Virtual Network Computing protocol to render the graphics within most commonly used browsers. We also present a minimal image builder that can add our proposed Graphical Desktop sharing system to any Docker packages, with the end result that any Docker packages can be run using a Graphical Desktop within a browser. In addition, GUIdock-VNC uses the Oauth2 authentication protocols when deployed on the cloud. As a proof-of-concept, we demonstrated the utility of GUIdock-noVNC in gene network inference. We benchmarked our container implementation on various operating systems and showed that our solution creates minimal overhead.

Saso Tomazic - One of the best experts on this subject based on the ideXlab platform.

  • CCNC - Characterizing Graphical Desktop Sharing System's Workload in Collaborative Virtual Environments
    2009 6th IEEE Consumer Communications and Networking Conference, 2009
    Co-Authors: Iztok Humar, Janez Bester, Saso Tomazic
    Abstract:

    Owing to a great expansion of broadband network access in recent years, the collaborative Graphical Desktop sharing systems (GDSS) have gained a considerable popularity and denote a non-negligible amount of data in today's internet traffic. Much research has been focusing on characterization of traffic load from different types of internet applications (such as Web, VoIP, Video streaming and Peer-to-Peer), while the remote Desktop protocols have attracted very little attention, despite the fact that they belong to a group of real-time applications with very strict quality of service requirements. As with other complex interactive applications, a good understanding of user behavior workload is important to the design of GDSS systems. In this paper, we present characterization of user behavior workload for GDSS arrival process and develop models for interarrival time of user's sessions and the session duration. Our results not only provide an insight into users' activities and behavior to the collaborative virtual environments research community but they are also useful in the development of synthetic workloads in performance studies of GDSS systems.

  • Characterizing Graphical Desktop Sharing System's Workload in Collaborative Virtual Environments
    2009 6th IEEE Consumer Communications and Networking Conference, 2009
    Co-Authors: Iztok Humar, Janez Bester, Saso Tomazic
    Abstract:

    Owing to a great expansion of broadband network access in recent years, the collaborative Graphical Desktop sharing systems (GDSS) have gained a considerable popularity and denote a non-negligible amount of data in today's internet traffic. Much research has been focusing on characterization of traffic load from different types of internet applications (such as Web, VoIP, Video streaming and Peer-to-Peer), while the remote Desktop protocols have attracted very little attention, despite the fact that they belong to a group of real-time applications with very strict quality of service requirements. As with other complex interactive applications, a good understanding of user behavior workload is important to the design of GDSS systems. In this paper, we present characterization of user behavior workload for GDSS arrival process and develop models for interarrival time of user's sessions and the session duration. Our results not only provide an insight into users' activities and behavior to the collaborative virtual environments research community but they are also useful in the development of synthetic workloads in performance studies of GDSS systems.

Varun Mittal - One of the best experts on this subject based on the ideXlab platform.

  • GUIdock-VNC: using a Graphical Desktop sharing system to provide a browser-based interface for containerized software.
    GigaScience, 2017
    Co-Authors: Varun Mittal, Daniel Kristiyanto, Jayant Keswani, Ling Hong Hung, Ka Yee Yeung
    Abstract:

    Background: Software container technology such as Docker can be used to package and distribute bioinformatics workflows consisting of multiple software implementations and dependencies. However, Docker is a command line-based tool, and many bioinformatics pipelines consist of components that require a Graphical user interface. Results: We present a container tool called GUIdock-VNC that uses a Graphical Desktop sharing system to provide a browser-based interface for containerized software. GUIdock-VNC uses the Virtual Network Computing protocol to render the graphics within most commonly used browsers. We also present a minimal image builder that can add our proposed Graphical Desktop sharing system to any Docker packages, with the end result that any Docker packages can be run using a Graphical Desktop within a browser. In addition, GUIdock-VNC uses the Oauth2 authentication protocols when deployed on the cloud. Conclusions: As a proof-of-concept, we demonstrated the utility of GUIdock-noVNC in gene network inference. We benchmarked our container implementation on various operating systems and showed that our solution creates minimal overhead.

  • GUIdock-VNC: Using a Graphical Desktop sharing system to provide a browser-based interface for containerized software
    GigaScience, 2017
    Co-Authors: Varun Mittal, Daniel Kristiyanto, Sung Bong Lee, Jayant Keswani, Ling Hong Hung, Ka Yee Yeung
    Abstract:

    Software container technology such as Docker can be used to package and distribute bioinformatics workflows consisting of multiple software implementations and dependencies. However, Docker is a command line based tool and many bioinformatics pipelines consist of components that require a Graphical user interface. We present a container tool called GUIdock-VNC that uses a Graphical Desktop sharing system to provide a browser-based interface for containerized software. GUIdock-VNC uses the Virtual Network Computing protocol to render the graphics within most commonly used browsers. We also present a minimal image builder that can add our proposed Graphical Desktop sharing system to any Docker packages, with the end result that any Docker packages can be run using a Graphical Desktop within a browser. In addition, GUIdock-VNC uses the Oauth2 authentication protocols when deployed on the cloud. As a proof-of-concept, we demonstrated the utility of GUIdock-noVNC in gene network inference. We benchmarked our container implementation on various operating systems and showed that our solution creates minimal overhead.

Junichi Shimada - One of the best experts on this subject based on the ideXlab platform.

  • ACCAS - Intuitive Touch Panel Navigation System through Kyoto Digital Sosui Network
    Computer Aided Surgery, 2020
    Co-Authors: Junichi Shimada, Satoru Okada, Kaori Ichise, Daishiro Kato, Masanori Shimomura, Hiroaki Tsunezuka, Shunta Ishihara
    Abstract:

    We have developed multi-touch panel robotic arm control system for thoracoscopic surgery. Our multi-touch panel navigation system consists of green laser guide maker, robotic arms with four spindles, multi-touch panel monitor, and PCs for control regulation. The multi-touch panel monitor recognized the finger-touch; thereby the tip of the robot arm is controlled just on the green maker. For estimation in remote control use, the PC for the robot control was placed in Kyoto Prefectural University of Medicine, which was connected through the Kyoto Digital Sosui Network, a gigabit Ethernet with layer-2 security. Another computer for the remote control of the PC for the robot control was placed in Yamashiro Public Hospital, 35 kilometers south of Kyoto city, through the same gigabit Ethernet. Using virtual network computing (VNC), which is a Graphical Desktop sharing system to control another computer, we demonstrated a remote control of the robot and collected the packets to examine the traffic bandwidth. The robot was successfully controlled in remote conditions. The throughput of the Ethernet was 16.4 ±3.6 Mbps in the remote control of the robot using VNC. The round-trip time was 19.9 ± 0.39 msec, while 8000 bytes data was sent by using ping command. We demonstrated an intuitive touch panel navigation system, which a surgical robot stopped an arterial bleeding in an animal model. The robot system was successfully controlled through a gigabit Ethernet between two distant hospitals.

  • Open source software e-learning system to improve medical image interpretation in young thoracic surgeons
    Internal Medicine Review, 2016
    Co-Authors: Junichi Shimada, Motohiro Nishimura, Daishiro Kato, Satoru Okada
    Abstract:

    <p><strong><em>Background</em></strong> We evaluated the efficacy of the e-learning system for improving young thoracic surgeons’ interpretations of chest computed tomography (CT) images.</p><p><strong><em>Methods</em></strong> We established an e-learning system for medical image interpretation using open source software that can be accessed from multiple sites. We used virtual network computing (VNC), a Graphical Desktop sharing protocol, to observe the remote server Desktop screen. OsiriX, an image-processing package, was installed on the server to share medical images. Five young thoracic surgeons (3-8 years of experience) were instructed to interpret a preoperative chest CT from a remote partner hospital. Chest CTs were extracted from remote hospitals, anonymized, and uploaded to the secure server. The participants accessed the server via high-speed Internet secured with a virtual private network. The young surgeons then created a 3-dimensional configuration of the pulmonary vessels before procedure using the 2-dimensional scans. Next, 5 expert thoracic surgeons ranked the renderings on a 10-point scale. The edited surgical video with the actual pulmonary configuration was uploaded to the web server, and the young thoracic surgeons watched the video as a self-education module. They also commented on their peers’ preoperative images of the pulmonary vessels.</p><p><strong><em>Results</em></strong> The scores of the 5 interpretations and drawings of pulmonary vessel branching patterns of patients with lung cancer undergoing lobectomy increased with years of experience.</p><p><strong><em>Conclusions</em></strong> The young thoracic surgeons virtually learned lobectomy using an e-learning system. We believe this virtual resource will help young thoracic surgeons accumulate greater experience. </p>

  • Interactive multicentre teleconferences using open source software in a team of thoracic surgeons.
    Journal of Telemedicine and Telecare, 2012
    Co-Authors: Junichi Shimada, Daishiro Katoh, Motohiro Nishimura, Masashi Yanada, Satoru Okada, Shunta Ishihara, Kaori Ichise
    Abstract:

    SummaryReal-time consultation between a team of thoracic surgeons is important for the management of difficult cases. We established a system for interactive teleconsultation between multiple sites, based on open-source software. The Graphical Desktop-sharing system VNC (virtual network computing) was used for remotely controlling another computer. An image-processing package (OsiriX) was installed on the server to share the medical images. We set up a voice communication system using Voice Chatter, a free, cross-platform voice communication application. Four hospitals participated in the trials. One was connected by gigabit ethernet, one by WiMAX and one by ADSL. Surgeons at three of the sites found that it was comfortable to view images and consult with each other using the teleconferencing system. However, it was not comfortable using the client that connected via WiMAX, because of dropped frames. Apart from the WiMAX connection, the VNC-based screen-sharing system transferred the clinical images effic...

Satoru Okada - One of the best experts on this subject based on the ideXlab platform.

  • ACCAS - Intuitive Touch Panel Navigation System through Kyoto Digital Sosui Network
    Computer Aided Surgery, 2020
    Co-Authors: Junichi Shimada, Satoru Okada, Kaori Ichise, Daishiro Kato, Masanori Shimomura, Hiroaki Tsunezuka, Shunta Ishihara
    Abstract:

    We have developed multi-touch panel robotic arm control system for thoracoscopic surgery. Our multi-touch panel navigation system consists of green laser guide maker, robotic arms with four spindles, multi-touch panel monitor, and PCs for control regulation. The multi-touch panel monitor recognized the finger-touch; thereby the tip of the robot arm is controlled just on the green maker. For estimation in remote control use, the PC for the robot control was placed in Kyoto Prefectural University of Medicine, which was connected through the Kyoto Digital Sosui Network, a gigabit Ethernet with layer-2 security. Another computer for the remote control of the PC for the robot control was placed in Yamashiro Public Hospital, 35 kilometers south of Kyoto city, through the same gigabit Ethernet. Using virtual network computing (VNC), which is a Graphical Desktop sharing system to control another computer, we demonstrated a remote control of the robot and collected the packets to examine the traffic bandwidth. The robot was successfully controlled in remote conditions. The throughput of the Ethernet was 16.4 ±3.6 Mbps in the remote control of the robot using VNC. The round-trip time was 19.9 ± 0.39 msec, while 8000 bytes data was sent by using ping command. We demonstrated an intuitive touch panel navigation system, which a surgical robot stopped an arterial bleeding in an animal model. The robot system was successfully controlled through a gigabit Ethernet between two distant hospitals.

  • Open source software e-learning system to improve medical image interpretation in young thoracic surgeons
    Internal Medicine Review, 2016
    Co-Authors: Junichi Shimada, Motohiro Nishimura, Daishiro Kato, Satoru Okada
    Abstract:

    <p><strong><em>Background</em></strong> We evaluated the efficacy of the e-learning system for improving young thoracic surgeons’ interpretations of chest computed tomography (CT) images.</p><p><strong><em>Methods</em></strong> We established an e-learning system for medical image interpretation using open source software that can be accessed from multiple sites. We used virtual network computing (VNC), a Graphical Desktop sharing protocol, to observe the remote server Desktop screen. OsiriX, an image-processing package, was installed on the server to share medical images. Five young thoracic surgeons (3-8 years of experience) were instructed to interpret a preoperative chest CT from a remote partner hospital. Chest CTs were extracted from remote hospitals, anonymized, and uploaded to the secure server. The participants accessed the server via high-speed Internet secured with a virtual private network. The young surgeons then created a 3-dimensional configuration of the pulmonary vessels before procedure using the 2-dimensional scans. Next, 5 expert thoracic surgeons ranked the renderings on a 10-point scale. The edited surgical video with the actual pulmonary configuration was uploaded to the web server, and the young thoracic surgeons watched the video as a self-education module. They also commented on their peers’ preoperative images of the pulmonary vessels.</p><p><strong><em>Results</em></strong> The scores of the 5 interpretations and drawings of pulmonary vessel branching patterns of patients with lung cancer undergoing lobectomy increased with years of experience.</p><p><strong><em>Conclusions</em></strong> The young thoracic surgeons virtually learned lobectomy using an e-learning system. We believe this virtual resource will help young thoracic surgeons accumulate greater experience. </p>

  • Interactive multicentre teleconferences using open source software in a team of thoracic surgeons.
    Journal of Telemedicine and Telecare, 2012
    Co-Authors: Junichi Shimada, Daishiro Katoh, Motohiro Nishimura, Masashi Yanada, Satoru Okada, Shunta Ishihara, Kaori Ichise
    Abstract:

    SummaryReal-time consultation between a team of thoracic surgeons is important for the management of difficult cases. We established a system for interactive teleconsultation between multiple sites, based on open-source software. The Graphical Desktop-sharing system VNC (virtual network computing) was used for remotely controlling another computer. An image-processing package (OsiriX) was installed on the server to share the medical images. We set up a voice communication system using Voice Chatter, a free, cross-platform voice communication application. Four hospitals participated in the trials. One was connected by gigabit ethernet, one by WiMAX and one by ADSL. Surgeons at three of the sites found that it was comfortable to view images and consult with each other using the teleconferencing system. However, it was not comfortable using the client that connected via WiMAX, because of dropped frames. Apart from the WiMAX connection, the VNC-based screen-sharing system transferred the clinical images effic...