Wan Mohd Yaakob Wan Bejuri

Publications (6)0 Total impact

• Source

  Available from: Mohd Murtadha Mohamad

  Dataset: Ubiquitous Positioning: Integrated GPS/Wireless LAN Positioning for Wheelchair Navigation System

  Wan Mohd Yaakob Wan Bejuri, Wan Mohd Nasri Wan Muhamad Saidin, Mohd Murtadha Bin Mohamad, Maimunah Sapri, Kah Seng Lim
• Chapter: Ubiquitous Positioning: Integrated GPS/Wireless LAN Positioning for Wheelchair Navigation System

  Wan Mohd Yaakob Wan Bejuri, Wan Mohd Nasri Wan Muhamad Saidin, Mohd Murtadha Bin Mohamad, Maimunah Sapri, Kah Seng Lim
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  ABSTRACT: The location determination in obstructed area can be very challenging especially when the Global Positioning System is blocked. Disable users will find it difficult to navigate directly on-site in such condition, particularly in obstructed environment. Sometimes, it needs to integrate with other sensors and positioning methods in order to determine the location with more intelligent, reliable and ubiquity. By using ubiquitous positioning, it provides the location technique inside the wheelchair navigation system that needed for disable people. In this paper, we utilizes the integration of wireless local area network and the Global Positioning System which receive signal strength from access point and at the same time, it retrieve Global Navigation System Satellite signal. This positioning information will be switched based on type of environment in order to ensure the ubiquity of wheelchair navigation system. Finally, we present our results by illustrating the performance of the system for an indoor/ outdoor environment set-up
  03/2013: pages 394-403; , ISBN: 978-3-642-36546-1
• Source

  Available from: Mohd Murtadha Mohamad

  Article: Inverse Intensity Chromaticity Space-based Feature Detection and Matching for Mobile Indoor Localization

  Mohd Murtadha Mohamad, Wan Mohd Yaakob Wan Bejuri, Maimunah Sapri, Mohd Shafry Mohd Rahim and Junaid Chaudry
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  ABSTRACT: A various technologies have emerged in response to high demand for mobile location-aware applications. Nevertheless, single localization technology have several limitations and vulnerabilities; to provide a universal localization solution for various environment. In this paper, we present our new mobile indoor localization algorithm using inverse intensity chromaticity space-based feature detection approach. This approach is using multi localization solution, which are; Wireless LAN and camera. Thus, these location information are combined by model fitting in order to find the absolute of user target position. As a finding, our experimental results indicate positioning accuracy of 0-6m with a 58% trial by given five (5) different locations
  Archives des Sciences -Geneve-. 01/2013; 66(1):277-293.
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  Available from: Mohd Murtadha Mohamad

  Article: Performance Evaluation of Mobile U-Navigation based on GPS/WLAN Hybridization

  Wan Mohd Yaakob Wan Bejuri, Mohd Murtadha Mohamad, Maimunah Sapri, Mohd Adly Rosly
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  ABSTRACT: This paper present our mobile u-navigation system. This approach utilizes hybridization of wireless local area network and Global Positioning System internal sensor which to receive signal strength from access point and the same time retrieve Global Navigation System Satellite signal. This positioning information will be switched based on type of environment in order to ensure the ubiquity of positioning system. Finally we present our results to illustrate the performance of the localization system for an indoor/ outdoor environment set-up.
  10/2012;
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  Available from: Mohd Murtadha Mohamad

  Article: Investigation of Color Constancy for Ubiquitous Wireless LAN/Camera Positioning: An Initial Outcome

  Wan Mohd Yaakob Wan Bejuri, Mohd Murtadha Mohamad, Maimunah Sapri, Mohd Adly Rosly
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  ABSTRACT: This paper present our color constancy investigation in the hybridization of Wireless LAN and Camera positioning in the mobile phone. Five typical color constancy schemes are analyzed in different location environment. The results can be used to combine with RF signals from Wireless LAN positioning by using model fitting approach in order to establish absolute positioning output. There is no conventional searching algorithm required, thus it is expected to reduce the complexity of computation. Finally we present our preliminary results to illustrate the indoor positioning algorithm performance evaluation for an indoor environment set-up.
  06/2012;
• Source

  Available from: Mohd Murtadha Mohamad

  Article: Ubiquitous WLAN/Camera Positioning using Inverse Intensity Chromaticity Space-based Feature Detection and Matching: A Preliminary Result

  Wan Mohd Yaakob Wan Bejuri, Mohd Murtadha Mohamad, Maimunah Sapri, Mohd Adly Rosly
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  ABSTRACT: This paper present our new intensity chromaticity space-based feature detection and matching algorithm. This approach utilizes hybridization of wireless local area network and camera internal sensor which to receive signal strength from a access point and the same time retrieve interest point information from hallways. This information is combined by model fitting approach in order to find the absolute of user target position. No conventional searching algorithm is required, thus it is expected reducing the computational complexity. Finally we present pre-experimental results to illustrate the performance of the localization system for an indoor environment set-up.
  04/2012;