KMITL

Permanent URI for this communityhttps://dspace.kmitl.ac.th/handle/kmitl/1

Browse

Settings

Has files: NoSubject: search.filters.subject.Least square method

Search Results

Now showing 1 - 3 of 3
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Optimized Walficsh-Bertoni model for path loss prediction DTTV propagation in urban area of Southern Thailand
    (2015-10-01)
    Keawbunsong, Pitak
    ;
    Supannakoon, Pitchaya
    ;
    Promwong, Sathaporn
    This article presents the optimization of a Walficsh-Bertoni path loss model to be used in designing the DTTV propagation in an urban area of southern Thailand through the data collection on the signal power that the network operators of 4 channels broadcasting within the distance of 2.5–6.5 Km. in urban Hat Yai, Songkla Province, an area of high density with buildings. A least square method is used for the optimization while an efficient indicator is through statistical values of root mean square error (RMSE) and relative error (RE). The result is a new Walficsh-Bertoni model that has RMSE value lesser than the original model whereas the RE value is also closer to zero than the original models. Subsequently, the Walficsh-Bertoni model is more precise in a prediction, making it optimized for use in planning the network.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Optimization of path loss model for prediction DTTV propagation in urban area of Southern Thailand
    (2015-10-01)
    Keawbunsong, Pitak
    ;
    Supannakoon, Pitchaya
    ;
    Promwong, Sathaporn
    This article presents the optimization of a path loss model in order to design the DTTV propagation network in the urban area of southern Thailand by selecting urban Hat Yai, Songkla Province as the case study for data collection on received signal power from the signal measurement during the broadcasting of the network operators in 4 channels. A least square method is used to optimize the path loss model while an efficient indicator is conducted through a statistical value of mean error (ME), root mean square error (RMSE) and standard deviation of error (SD). It is found that Hata path loss model is the most suitable for the optimization process. Through the least square method, a parameter of the constant value of each frequency is obtained. The statistical values indicate that new Hata path loss model is closer to the measured data than the original predicted model which proves that the Hata model is more precise and more optimized for the planning and designing the network.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Distribution model between objective measurement and subjective measurement
    (2007-06-26)
    Yamsang, Nuntapong
    ;
    Udomhunsakul, Somkait
    Evaluation of the quality of image compression still remains an important issue. In this work, we propose the new objective measurements, which are developed from five traditionally simple measurements (Mean Square Error, Edge Measurement, Correlation Measurement, Visual Human System and Spectral Measurement). In our study, we evaluated the quality of the compressed gray-scale images using both objective and subjective tests. We found the relationship between objective and subjective measurements from the distribution data that can be modeled and defined by exponential least square method. From the experimental results, the reliabilities (Correlation coefficient) of our new proposed measurements are better than five traditionally simple measurements. © 2007 IEEE.