ORCID Profile
0000-0001-6220-2589
Current Organisations
Chiang Mai University
,
University of Queensland
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Publisher: IEEE
Date: 2008
Publisher: IEEE
Date: 09-2015
Publisher: IEEE
Date: 09-2013
DOI: 10.1109/NBIS.2013.18
Publisher: IEEE
Date: 2010
Publisher: Wiley
Date: 16-01-2014
DOI: 10.1111/COIN.12028
Publisher: Springer Berlin Heidelberg
Date: 2008
Publisher: Springer Berlin Heidelberg
Date: 2011
Publisher: IEEE
Date: 11-2010
Publisher: IEEE
Date: 10-2011
Publisher: ACM
Date: 06-11-2009
Publisher: IEEE
Date: 09-2013
DOI: 10.1109/NBIS.2013.97
Publisher: Hindawi Limited
Date: 2016
DOI: 10.1155/2016/4024783
Abstract: Mechanical tests, for ex le, tensile and hardness tests, are usually used to evaluate the properties of rubber materials. In this work, mechanical properties of selected rubber materials, that is, natural rubber (NR), styrene butadiene rubber (SBR), nitrile butadiene rubber (NBR), and ethylene propylene diene monomer (EPDM), were evaluated using a near infrared (NIR) spectroscopy technique. Here, NR/NBR and NR/EPDM blends were first prepared. All of the s les were then scanned using a FT-NIR spectrometer and fitted with an integration sphere working in a diffused reflectance mode. The spectra were correlated with hardness and tensile properties. Partial least square (PLS) calibration models were built from the spectra datasets with preprocessing techniques, that is, smoothing and second derivative. This indicated that reasonably accurate models, that is, with a coefficient of determination [ R 2 ] of the validation greater than 0.9, could be achieved for the hardness and tensile properties of rubber materials. This study demonstrated that FT-NIR analysis can be applied to determine hardness and tensile values in rubbers and rubber blends effectively.
Publisher: IEEE
Date: 09-2015
DOI: 10.1109/NBIS.2015.73
Publisher: Springer Science and Business Media LLC
Date: 28-07-2021
DOI: 10.1007/S11280-021-00922-2
Abstract: With growing concern of data privacy violations, privacy preservation processes become more intense. The k -anonymity method, a widely applied technique, transforms the data such that the publishing datasets must have at least k tuples to have the same link-able attribute, quasi-identifiers, values. From the observations, we found that, in a certain domain, all quasi-identifiers of the datasets, can have the same data type. This type of attribute is considered as an Identical Generalization Hierarchy ( IGH ) data. An IGH data has a particular set of characteristics that could utilize for enhancing the efficiency of heuristic privacy preservation algorithms. In this paper, we propose a data privacy preservation heuristic algorithm on IGH data. The algorithm is developed from the observations on the anonymous property of the problem structure that can eliminate the privacy constraints consideration. The experiment results are presented that the proposed algorithm could effectively preserve data privacy and also reduce the number of visited nodes for ensuring the privacy protection, which is the most time-consuming process, compared to the most efficient existing algorithm by at most 21%.
Publisher: Springer Singapore
Date: 2016
Publisher: Inderscience Publishers
Date: 2011
Publisher: IEEE
Date: 03-2011
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: IEEE
Date: 05-2011
Publisher: Inderscience Publishers
Date: 2011
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: IEEE
Date: 09-2014
DOI: 10.1109/NBIS.2014.17
Publisher: Springer Berlin Heidelberg
Date: 2008
Publisher: Springer International Publishing
Date: 23-09-2014
Publisher: IEEE
Date: 11-2014
Publisher: Inderscience Publishers
Date: 2013
Publisher: Springer Science and Business Media LLC
Date: 27-02-2020
Publisher: Springer International Publishing
Date: 2015
Publisher: IEEE
Date: 03-2011
Publisher: IEEE
Date: 07-2014
Publisher: IEEE
Date: 2016
Publisher: Inderscience Publishers
Date: 2011
Publisher: Springer International Publishing
Date: 2018
Publisher: IEEE
Date: 09-2014
Publisher: IEEE
Date: 05-2014
Publisher: IEEE
Date: 09-2016
DOI: 10.1109/NBIS.2016.90
Publisher: Springer Science and Business Media LLC
Date: 31-10-2018
Publisher: IEEE
Date: 09-2014
Publisher: IEEE
Date: 11-2013
Publisher: Springer Science and Business Media LLC
Date: 14-06-2017
Publisher: Elsevier BV
Date: 2015
No related grants have been discovered for Juggapong Natwichai.