Entity

Time filter

Source Type


Bunnoon P.,Rajamangala University of Technology at Srivijaya
International Journal of Electrical and Computer Engineering | Year: 2016

One of most important elements in electric power system planning is load forecasts. So, in this paper proposes the load demand forecasts using denoising wavelet transform (DNWT) integrated with neural network (NN) methods. This research, the case study uses peak load demand of Thailand (Electricity Generating Authority of Thailand: EGAT). The data of demand will be analyzed with many influencing variables for selecting and classifying factors. In the research, the de-noising wavelet transform uses for decomposing the peak load signal into 2 components these are detail and trend components. The forecasting method using the neural network algorithm is used. The work results are shown a good performance of the model proposed. The result may be taken to the one of decision in the power systems operation. Copyright © 2016 Institute of Advanced Engineering and Science. All rights reserved. Source


Pedpradab P.,Rajamangala University of Technology at Srivijaya | Suwanborirux K.,Chulalongkorn University
Journal of Asian Natural Products Research | Year: 2011

Bioactivity-guided fractionation of the ethyl acetate extract of a marine sponge, Xestospongia sp., led to the isolation of a new thiophene-S-oxide acyclic sesterterpene (1). The chemical structure was extensively analyzed using NMR and mass spectral data. Compound 1 showed weak cytotoxicity against Vero cells. © 2011 Taylor & Francis. Source


Samakee C.,Rajamangala University of Technology at Srivijaya
2016 8th International Conference on Knowledge and Smart Technology, KST 2016 | Year: 2016

In general, a single-input-single-output (SISO) Volterra series cannot be used for modeling component of ultraharmonic frequency from ultrasound echo signal. In this paper we present a new method for modeling the ultraharmonic component based on a SISO Volterra filter with exciting input signal at half-fundamental frequency. Results from the approach of the SISO Volterra show capability for successful modeling of the ultraharmonic. We have investigated the accuracy of predicting the ultrasound echo signal under different noise levels. In addition, the SISO Volterra can be still modeled subharmonic frequency component. This is significant solution for separating the ultraharmonic only or adding both the sub- and ultraharmonic for contrast imaging by the system identification of the SISO Volterra filter. © 2016 IEEE. Source


Kittiphoom S.,Rajamangala University of Technology at Srivijaya
International Food Research Journal | Year: 2012

Mango (Mangifera indica Linn.) is one of the most important tropical fruits in the world. During processing of mango, by-products such as peel and kernel are generated. Kernels take up about 17-22% of the fruit. The major components of mango seed are starch, fat and protein. The oil of mango seed kernel consist of about 44-48% saturated fatty acids (majority stearic) and 52-56% unsaturated. Mango seed kernels have a low content of protein but they contain the most of the essential amino acids, with highest values of leucine, valine and lysine. Mango seed kernels were shown to be a good source of polyphenols, phytosterols as campesterol, sitosterol and tocopherols. In addition, mango seed kernel could be used as a potential source for functional food ingredients, antimicrobial compounds and cosmetic due to its high quality of fat and protein as well as high levels of natural antioxidants. The mango stone obtained after decortication of mango seed can be utilized as adsorbent. Source


Homkhiew C.,Rajamangala University of Technology at Srivijaya | Ratanawilai T.,Prince of Songkla University | Thongruang W.,Prince of Songkla University
Construction and Building Materials | Year: 2014

The effects of time, temperature, and stress on the flexural creep of composites from recycled polypropylene (rPP) and rubberwood flour (RWF) were experimentally investigated and numerically modeled. Creep of rPP/RWF composites increased with an increase of time, temperature, and stress. A critical temperature of rPP composites containing 44.5 wt% RWF is 65 °C. Burger, Power law, and HRZ models fit the creep profiles well in general, but at high temperature and stress levels the Power law and HRZ models performed poorly. However, the HRZ model interpolated creep well across the applied stresses, or across the temperatures. The time-temperature superposition (TTS) and time-stress superposition (TSS) principles were used to model long-term creep. The master curves from TTS and TSS principles were in good agreement with each other. They predicted that the lifetime limitation by long-term creep exceeds 10 years for 15 MPa stress at 25 °C. All these results pertain to a specific formulation of rPP/RWF composites. © 2014 Elsevier Ltd. All rights reserved. Source

Discover hidden collaborations