Huynh Ngoc Phien

Learn More
In this study, back propagation neural network (BPNN) models were used to forecast daily river flows in two basins, namely the Da Nhim and La Nga basins, in the Central Highlands of Vietnam for comparison with the Tank Model. It was found that the developed BPNN models provided satisfactory forecast discharges for both basins. Moreover, the discharges were(More)
Although various techniques and materials have been used for making cranioplasty implants, personalized cranioplasty implants are high in cost because of expensive materials and production technology, long design and manufacturing time, and intensive labor use. This research was a part of our research project in ASEAN countries to investigate feasible(More)
Flood forecasting remains a very important task. Good forecast values with sufficient lead times can help reduce flood damages significantly. This paper proposes two types of black-box model obtained by using multiple regression analysis and backpropagation neural networks in forecasting 6-h water levels at three important stations on the upstream section(More)
Skull defects are treated by cranioplasty techniques, which are required to protect underlying brain, correct major aesthetic deformities, or both. This research is a part of our research project in ASEAN countries to investigate (i) the methods for design and manufacturing of cranioplasty implants, and (ii) the feasible technical solutions of minimizing(More)
A new approach based on vector field clustering for tool path optimization of 5-axis CNC machining is presented in this paper. The strategy of the approach is to produce an efficient tool path with respect to the optimal cutting direction vector field. The optimal cutting direction maximizes the machining strip width. We use the normalized cut clustering(More)
The amount of water stored in a reservoir can be utilized more efficiently if it is possible to forecast future inflows. However, not many techniques for seasonal streamflow forecasting have been devised. Recently, a particular scheme has been introduced, in which regression analysis is used in model identification and parameter estimation, and a time(More)