Paramate Horkaew | SURANAREE UNIVERSITY OF TECHNOLOGY (original) (raw)

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Papers by Paramate Horkaew

ECTI Transactions on Computer and Information Technology, Jan 20, 2024

TEM Journal

The current global scenario is characterized by epidemics and various types of disasters, severel... more The current global scenario is characterized by epidemics and various types of disasters, severely impacting communities' health, living conditions, and economic stability. Especially during such crises, the requirement for essential necessities becomes critical. Existing solution guidelines involve receiving donated items from public agencies through an offline system to provide assistance to victims. However, this implementation faces several limitations, such as a lack of understanding of people's needs in specific areas, leading to mismatches between assistance and actual requirements. Additionally, donators lack adequate information, resulting in further discrepancies between donated items and the victims' genuine needs. The available geospatial platforms primarily support surveillance and monitoring of epidemic or disaster situations but fail to address the management of needs related to donation and receipt. Through an extensive review of the literature and relate...

Advances in Intelligent Systems and Computing, 2015

The blood flow patterns in vivo are highly complex; they vary considerably from subject to subjec... more The blood flow patterns in vivo are highly complex; they vary considerably from subject to subject and even more so in patients with cardiovascular diseases. Over the last five years, there has been a rapid surge of interest in combining computational fluid dynamics (CFD) with in vivo imaging techniques for studying interactions between vessel morphology and blood flow patterns. CFD gives the ability to compute features/properties which cannot be measured, e.g. wall shear stress, mass transfer rate, but are important to studies of atherosclerosis, or the design of vessel prostheses. Moreover, it can also provide details of the flow which are often beyond the discrimination of the imaging techniques. This trend is driven by our increased understanding of biomechanics, maturity of computational modelling techniques, and advancement in imaging. To this end, accurate delineation of cardiac morphology and its associated in-flow/out-flow tracts is required. Due to the complex topology of the dynamic shapes involved, this procedure usually involves labour-intensive user interaction with a large amount of 4D spatio-temporal information. With the increasing popularity of the active shape and appearance models, 3D shape modelling and segmentation based on these techniques are gaining significant clinical interest. The practical quality of the statistical model relies on the definition of correspondence across a set of segmented samples. For time-varying 3D cardiovascular structures, landmarks based techniques are not only time consuming but also prone to subjective error, as temporal alignment of geometrical features is difficult. Moreover, when all of the structures including inflow/outflow tracts are considered, the shape to be modelled becomes highly complex even in its static form. This makes the identification of dense correspondence within the training set a significant challenge. The purpose of this thesis is to develop a practical approach towards optimal statistical modelling and segmentation for dynamic 3D objects with complex topology. The method relies on harmonic embedding for establishing optimal global correspondence for a set of dynamic surfaces. We first demonstrate how it can be used for shapes whose topological realization is homeomorphic to a compact 2D manifold with boundary. A conformal harmonic map and tensor product B-splines are used to create a multi-resolution representation of the surfaces that are re- parameterized by using hierarchical piecewise bilinear maps in a coarse-to-fine manner. The optimal global correspondence within the training shapes is identified by an objective function based on the principle of minimum description length. The strength of the method is demonstrated by building a concise yet physiologically plausible statistical shape model of the normal human left ventricle which has principal modes of variation that correspond to intrinsic cardiac motions. The proposed framework is then extended to dynamic shapes with higher genus. Criteria based on surface conformality and minimum description length are used to simultaneously identify the intrinsic global correspondence of the training data. The strength of the method is demonstrated by building a statistical model of the complex anatomical structure of the heart which includes atria, ventricles, aortic/pulmonary out How tracts, pulmonary veins/arteries, and superior/inferior vena cavae. The analysis of variance and leave-one-out-crossvalidation indicate that the derived model not only captures physiologically plausible modes of variation but also is robust and concise, thus greatly enhancing its potential clinical value. With this thesis, we also demonstrate how the derived dynamic statistical shape model can be used for 4D cardiac image segmentation and combined MR/CFD haemodynamic modelling.Open acces

A de-cubing process are important in the Laminated Object Manufacturing (LOM) technique, creates ... more A de-cubing process are important in the Laminated Object Manufacturing (LOM) technique, creates a physical model directly from 3D CAD model without mold and dies by using laminated material. The de-cubing process is to assign shape of waste material into generally small square shape that can be easily remove in order to reduce time and avoid prototype damages. The adaptive de-cubing process applies proportion of number of black pixels on considering area per number of total pixels on considering area. If the proportion is more than a threshold, then the considering axis is divided. On the other hade, if the proportion is less than the threshold, then the considering axis is skipped. The adaptive process algorithm has been developed base on MATLAB platform. The result shown that the bigest threshold exploded the rough de-cubing and stair layer contour, while the smaller threshold produced the fine de-cubing and smooth layer contour.

Journal of the Medical Association of Thailand, Apr 1, 2018

International Journal of Cartography

J. Inf. Process. Syst., 2019

Transmitting visual information over a broadcasting network is not only prone to a copyright viol... more Transmitting visual information over a broadcasting network is not only prone to a copyright violation but also is a forgery. Authenticating such information and protecting its authorship rights call for more advanced data encoding. To this end, electronic watermarking is often adopted to embed inscriptive signature in imaging data. Most existing watermarking methods while focusing on robustness against degradation remain lacking of measurement against security loophole in which the encrypting scheme once discovered may be recreated by an unauthorized party. This could reveal the underlying signature which may potentially be replaced or forged. This paper therefore proposes a novel digital watermarking scheme in temporal-frequency domain. Unlike other typical wavelet based watermarking, the proposed scheme employed the Lorenz chaotic map to specify embedding positions. Effectively making this is not only a formidable method to decrypt but also a stronger will against deterministic a...

Baghdad Science Journal, Mar 1, 2020

Wireless Networks, Mar 4, 2020

ISPRS international journal of geo-information, Mar 20, 2022

Lecture Notes in Computer Science, 2004

2022 37th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC)

Health Psychology Research

The objectives of this study were to evaluate the level of depression and stress among the first-... more The objectives of this study were to evaluate the level of depression and stress among the first-year students at Suranaree University of Technology (SUT) and to compare the level of depression and stress among the samples, classified by demographic factors, including gender, domicile, and problem. This research has been approved by the SUT’s Research Ethics Committee. The study period was between July and August 2018. The online, self-report questionnaire was used as a research instrument to collect data from the sample of SUT first-year students. The total number of first-year students at SUT was 3,552 and the response rate was 65.15%. The major findings revealed that 7.0% and 51.1% of them were suffering from depression, and pathological stress, respectively. In addition, the prevalence of depression and pathological stress was higher in female samples than in other gender groups. The findings would suggest that related activities should be organized to promote students’ awarenes...

International Journal of Design & Nature and Ecodynamics

With the rapid changes in Earth climates, coral bleaching has been spreading worldwide and gettin... more With the rapid changes in Earth climates, coral bleaching has been spreading worldwide and getting much severe. It is considered an imminent threat to marine animals as well as causing adverse impacts on fisheries and tourisms. Environmental agencies in affected regions have been made aware of the problem and hence starting to contain coral bleaching. Thus far, they often rely on conventional site survey to determine suitable sites to intervene and commence coral reef reviving process. With the recent advances in remote sensing technology, sea surface temperature (SST), acquired by satellites, has become a viable delegate to coral bleaching. Predicting coral bleaching based solely on SST is limited, as it is only one of many determinants. In addition, areas with different SST levels also exhibit different bleaching characteristics. Hence, area specific models are important for appropriately monitoring the events. Thus far, forecasting the bleaching based on SST alone has limited acc...

Pattern Recognition and Image Analysis, 2017

Tile tapping sound inspection is a process of construction quality control. Hollow sound, for ins... more Tile tapping sound inspection is a process of construction quality control. Hollow sound, for instance, indicate low quality tessellation and thus voids underneath that could lead to future broken tiles. Hollow-sounding inspection was often carried out by construction specialists, whose skills and judgment may vary across individual. This paper elevates this issue and presents a Deep Learning (DL) classification method for computerized sounding tile inspection. Unlike other existing works in the area, where structural details were assessed, this study acquired tapping sound signals and analyzed them in a spectral domain by using Discrete Wavelet Transform (DWT) and Mel-frequency Cepstral Coefficients (MFCC). The dull versus hollow sounding tile were then classified based on these features by means of a Convolutional Neural Network (CNN). The experiments carried out in a laboratory tessellation indicated that the proposed method could differentiate dull from hollow-sounding tiles wit...