The Experts below are selected from a list of 312 Experts worldwide ranked by ideXlab platform

Yi-ling Hsieh - One of the best experts on this subject based on the ideXlab platform.

  • Efficient Color-Theory-based Dynamic Localization for Mobile Wireless Sensor Networks
    Wireless Personal Communications, 2010
    Co-Authors: Shen-hai Shee, Kuochen Wang, Tzu-chien Chang, Yi-ling Hsieh
    Abstract:

    Location information is critical to mobile wireless sensor networks (WSN) applications. With the help of location information, for example, routing can be performed more efficiently. In this paper, we propose a novel localization approach, Color-Theory based Dynamic Localization (CDL), which is based on Color Theory to exploit localization in mobile WSNs. CDL makes use of the broadcast information, such as locations and RGB values, from all anchors (a small portion of nodes with GPS receivers attached), to help the server to create a location database and assist each sensor node to compute its RGB value. Then, the RGB values of all sensor nodes are sent to the server for localization of the sensor nodes. A unique feature of our Color-Theory based mechanism is that it can use one Color to represent the distances of a sensor node to all anchors. Since CDL is easy to implement and is a centralized approach, it is very suitable for applications that need a centralized server to collect user (sensor) data and monitor user activities, such as community health-care systems and hospital monitoring systems. Evaluation results have shown that for mobile WSNs, the location accuracy of CDL (E-CDL, an enhanced version of CDL) is 40---50% (75---80%) better than that of MCL (Hu, L., & Evans, D. (2004). Localization for mobile sensor networks. In Proceedings of the 10th annual international conference on mobile computing and networking, pp. 45---57). In addition, we have implemented and validated our E-CDL algorithm on the MICAz Mote Developer's Kit.

  • A Color-Theory-based energy efficient routing algorithm for mobile wireless sensor networks
    Computer Networks, 2008
    Co-Authors: Tai-jung Chang, Kuochen Wang, Yi-ling Hsieh
    Abstract:

    Wireless sensor networks (WSNs) with nodes spreading in a target area have abilities of sensing, computing, and communication. Since the GPS device is expensive, we used a small number of fixed anchor nodes that are aware of their locations to help estimate the locations of sensor nodes in WSNs. To efficiently route sensed data to the destination (the server), identifying the location of each sensor node can be of great help. We adopted a range-free Color-Theory based dynamic localization (CDL) [Shen-Hai Shee, Kuochen Wang, I.L. Hsieh, Color-Theory-based dynamic localization in mobile wireless sensor networks, in: Proceedings of Workshop on Wireless, Ad Hoc, Sensor Networks, August 2005] approach, to help identify the location of each sensor node. Since sensor nodes are battery-powered, we propose an efficient Color-Theory-based energy efficient routing (CEER) algorithm to prolong the life time of each sensor node. The uniqueness of our approach is that by comparing the associated RGB values among neighboring nodes, we can efficiently choose a better routing path with energy awareness. Besides, the CEER has no topology hole problem. Simulation results have shown that our CEER algorithm can save up to 50–60% energy than ESDSR [Mohammed Tarique, Kemal E. Tepe, Mohammad Naserian, Energy saving dynamic source routing for ad hoc wireless networks, in: Proceedings of Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, April 2005, pp. 305–310] in mobile wireless sensor networks. In addition, the latency per packet of CEER is 50% less than that of ESDSR.

  • WCNC - Enhanced Color-Theory-Based Dynamic Localization in Mobile Wireless Sensor Networks
    2007 IEEE Wireless Communications and Networking Conference, 2007
    Co-Authors: Tzu-chien Chang, Kuochen Wang, Yi-ling Hsieh
    Abstract:

    There are few localization schemes targeted at mobile wireless sensor networks. This paper proposed an enhanced Color-Theory-based dynamic localization (E-CDL) which is based on the CDL algorithm (Shee, 2005). However, the location accuracy of this algorithm depends on the accuracy of the average hop distance derivation. Therefore, the authors present two novel schemes to estimate the average hop distance. The authors analyzed the behavior of sensor nodes communication, and computed the expected value of the average hop distance, which is 7r/9 where r is the radio range. In addition, since CDL is based on the DV-hop scheme, the derived shortest path length is usually larger than the corresponding Euclidean distance. With this observation, the derived shortest path length can be adjusted by the ratio of the Euclidean distance and the shortest path distance to further enhance the location accuracy. Finally, in mobile wireless sensor networks, sensor nodes may become isolated. By employing mobile anchor nodes, the isolation problem can be relieved and hence the location accuracy can be improved. Simulation results have shown that the location accuracy of E-CDL is 50%-55% better than that of CDL, and 75%-80% better than that of MCL (Monte Carlo localization) (Lingxuan and David, 2004), In addition, the authors have implemented and verified our algorithm on the MICAz Mote developer's kit.

Tara Spies Smith - One of the best experts on this subject based on the ideXlab platform.

Kuochen Wang - One of the best experts on this subject based on the ideXlab platform.

  • Efficient Color-Theory-based Dynamic Localization for Mobile Wireless Sensor Networks
    Wireless Personal Communications, 2010
    Co-Authors: Shen-hai Shee, Kuochen Wang, Tzu-chien Chang, Yi-ling Hsieh
    Abstract:

    Location information is critical to mobile wireless sensor networks (WSN) applications. With the help of location information, for example, routing can be performed more efficiently. In this paper, we propose a novel localization approach, Color-Theory based Dynamic Localization (CDL), which is based on Color Theory to exploit localization in mobile WSNs. CDL makes use of the broadcast information, such as locations and RGB values, from all anchors (a small portion of nodes with GPS receivers attached), to help the server to create a location database and assist each sensor node to compute its RGB value. Then, the RGB values of all sensor nodes are sent to the server for localization of the sensor nodes. A unique feature of our Color-Theory based mechanism is that it can use one Color to represent the distances of a sensor node to all anchors. Since CDL is easy to implement and is a centralized approach, it is very suitable for applications that need a centralized server to collect user (sensor) data and monitor user activities, such as community health-care systems and hospital monitoring systems. Evaluation results have shown that for mobile WSNs, the location accuracy of CDL (E-CDL, an enhanced version of CDL) is 40---50% (75---80%) better than that of MCL (Hu, L., & Evans, D. (2004). Localization for mobile sensor networks. In Proceedings of the 10th annual international conference on mobile computing and networking, pp. 45---57). In addition, we have implemented and validated our E-CDL algorithm on the MICAz Mote Developer's Kit.

  • A Color-Theory-based energy efficient routing algorithm for mobile wireless sensor networks
    Computer Networks, 2008
    Co-Authors: Tai-jung Chang, Kuochen Wang, Yi-ling Hsieh
    Abstract:

    Wireless sensor networks (WSNs) with nodes spreading in a target area have abilities of sensing, computing, and communication. Since the GPS device is expensive, we used a small number of fixed anchor nodes that are aware of their locations to help estimate the locations of sensor nodes in WSNs. To efficiently route sensed data to the destination (the server), identifying the location of each sensor node can be of great help. We adopted a range-free Color-Theory based dynamic localization (CDL) [Shen-Hai Shee, Kuochen Wang, I.L. Hsieh, Color-Theory-based dynamic localization in mobile wireless sensor networks, in: Proceedings of Workshop on Wireless, Ad Hoc, Sensor Networks, August 2005] approach, to help identify the location of each sensor node. Since sensor nodes are battery-powered, we propose an efficient Color-Theory-based energy efficient routing (CEER) algorithm to prolong the life time of each sensor node. The uniqueness of our approach is that by comparing the associated RGB values among neighboring nodes, we can efficiently choose a better routing path with energy awareness. Besides, the CEER has no topology hole problem. Simulation results have shown that our CEER algorithm can save up to 50–60% energy than ESDSR [Mohammed Tarique, Kemal E. Tepe, Mohammad Naserian, Energy saving dynamic source routing for ad hoc wireless networks, in: Proceedings of Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, April 2005, pp. 305–310] in mobile wireless sensor networks. In addition, the latency per packet of CEER is 50% less than that of ESDSR.

  • WCNC - Enhanced Color-Theory-Based Dynamic Localization in Mobile Wireless Sensor Networks
    2007 IEEE Wireless Communications and Networking Conference, 2007
    Co-Authors: Tzu-chien Chang, Kuochen Wang, Yi-ling Hsieh
    Abstract:

    There are few localization schemes targeted at mobile wireless sensor networks. This paper proposed an enhanced Color-Theory-based dynamic localization (E-CDL) which is based on the CDL algorithm (Shee, 2005). However, the location accuracy of this algorithm depends on the accuracy of the average hop distance derivation. Therefore, the authors present two novel schemes to estimate the average hop distance. The authors analyzed the behavior of sensor nodes communication, and computed the expected value of the average hop distance, which is 7r/9 where r is the radio range. In addition, since CDL is based on the DV-hop scheme, the derived shortest path length is usually larger than the corresponding Euclidean distance. With this observation, the derived shortest path length can be adjusted by the ratio of the Euclidean distance and the shortest path distance to further enhance the location accuracy. Finally, in mobile wireless sensor networks, sensor nodes may become isolated. By employing mobile anchor nodes, the isolation problem can be relieved and hence the location accuracy can be improved. Simulation results have shown that the location accuracy of E-CDL is 50%-55% better than that of CDL, and 75%-80% better than that of MCL (Monte Carlo localization) (Lingxuan and David, 2004), In addition, the authors have implemented and verified our algorithm on the MICAz Mote developer's kit.

Theresa-marie Rhyne - One of the best experts on this subject based on the ideXlab platform.

  • SIGGRAPH Courses - Applying Color Theory to visualization
    ACM SIGGRAPH 2017 Courses, 2017
    Co-Authors: Theresa-marie Rhyne
    Abstract:

    We examine the foundations of Color Theory & how these methods apply to building effective digital media. We define Color harmony & demonstrate the application of Color harmony to case studies. Case studies include historic & new infographics as well as time series animations. The Pantone Matching System, Munsell Color System and other hue systems are reviewed. The features of ColorBrewer, Adobe's Capture CC app, & Josef Albers "Interaction of Color" app are examined. We also introduce "Gamut Mask" & "Color Proportions of an Image" analysis tools. Our course concludes with a hands on session that teaches how to use online and mobile apps to successfully capture, analyze and store Color schemes for future use in visual analytics. This includes evaluations for Color deficiencies using Vizcheck & Coblis. These Color suggestion tools are available online for your continued use in creating new digital media. Please bring small JPEG examples of your digital media content for performing Color analyses during the hands on session. We hope you enjoy exploring Color during this course at SIGGRAPH 2017, Theresa-Marie Rhyne.

  • applying Color Theory to digital media and visualization
    Human Factors in Computing Systems, 2017
    Co-Authors: Theresa-marie Rhyne
    Abstract:

    We examine the foundations of Color Theory & how these methods apply to building effective digital media. We define Color harmony & demonstrate the application of Color harmony to case studies. Case studies include historic & new infographics as well as time series animations. The Pantone Matching System, Munsell Color System and other hue systems are reviewed. The features of ColorBrewer, Adobe's Capture CC app, & Josef Albers "Interaction of Color" app are examined. We also introduce "Gamut Mask" & Color Proportions of an Image analysis tools. Our course concludes with a hands on session that teaches how to use online and mobile apps to successfully capture, analyze and store Color schemes for future use in visual analytics. This includes evaluations for Color deficiencies using Vizcheck & Coblis. These Color suggestion tools are available online for your continued use in creating new digital media. Please bring small JPEG examples of your digital media content for performing Color analyses during the hands on session.

  • CHI Extended Abstracts - Applying Color Theory to Digital Media and Visualization
    Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems, 2017
    Co-Authors: Theresa-marie Rhyne
    Abstract:

    We examine the foundations of Color Theory & how these methods apply to building effective digital media. We define Color harmony & demonstrate the application of Color harmony to case studies. Case studies include historic & new infographics as well as time series animations. The Pantone Matching System, Munsell Color System and other hue systems are reviewed. The features of ColorBrewer, Adobe's Capture CC app, & Josef Albers "Interaction of Color" app are examined. We also introduce "Gamut Mask" & Color Proportions of an Image analysis tools. Our course concludes with a hands on session that teaches how to use online and mobile apps to successfully capture, analyze and store Color schemes for future use in visual analytics. This includes evaluations for Color deficiencies using Vizcheck & Coblis. These Color suggestion tools are available online for your continued use in creating new digital media. Please bring small JPEG examples of your digital media content for performing Color analyses during the hands on session.

  • Applying Color Theory to Digital Media and Visualization
    2016
    Co-Authors: Theresa-marie Rhyne
    Abstract:

    This course reviews the visual impact of specific Color combinations and provides practical suggestions on digital Color mixing for visualization. The course begins by describing the red, green, Blue (RGB) Color model of Color computer monitors (additive Color) and the cyan, magenta, yellow and key black (CMYK) Color model of printers and other output devices (subtractive Color) and how to move between these two Color models and other Color models. Then it reviews Color gamut, explaining that a Color gamut and Color model combine to define a Color space, describes types of Color systems such as the Munsell Color system and the Pantone Color-matching system, and introduces the Color wheel and how to work with it to create digital media and visualizations. Other topics include: digital Color application illustrated by digital media and visualization examples inspired by artistic movements such as Pointillism, Impressionism, Fauvism, Cubism, and Color Field Painting; concepts introduced by Johannes Itten for successful Color combinations and Josef Albers for understanding the interaction of Color; and how Color theories and tools are applied actual visualization projects. The course concludes with a hands-on workshop session where attendees can work with online Color scheme tools to build visualization Color maps followed by a review of additional reading on applying Color Theory.

  • applying Color Theory to digital media and visualization
    2016
    Co-Authors: Theresa-marie Rhyne
    Abstract:

    This course highlights the visual impact of specific Color combinations, provides practical suggestions on Color mixing, and includes a hands-on session that teaches how to build and evaluate Color schemes for digital media visualization.

Sheri Rosensweig - One of the best experts on this subject based on the ideXlab platform.