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Haiphong, Vietnam

Maivan L.,Hunan University | Maivan L.,Haiphong Private University | He J.,Hunan University | Chen L.,Hunan University
Asia Communications and Photonics Conference, ACPC 2015 | Year: 2015

We propose and experimentally demonstrate a novel NBPSO on DSI for PAPR reduction in an IM-DD OOFDM system based on FHT. The experimental results show that receiver sensitivity can be improved by more than 2dB. © 2015 OSA.

Dao T.-K.,National Kaohsiung University of Applied Sciences | Pan T.-S.,National Kaohsiung University of Applied Sciences | Nguyen T.-T.,Haiphong Private University | Chu S.-C.,Flinders University
Advances in Intelligent Systems and Computing | Year: 2015

Economic Load Dispatch (ELD) is one of the important optimization tasks, which provides an economic condition for the power systems. In this paper, Evolved Bat Algorithm (EBA) as an evolutionary based approach is presented to solve the constraint economic load dispatched problem of thermal plants. The output generating power for all the power-generation units can be determined by the optimal technique for transmission losses, power balance and generation capacity, so that the total constraint cost function is minimized. A piecewise quadratic function is used to show the fuel cost equation of each generation unit, and the B-coefficient matrix is used to represent transmission losses. The systems with six units and fifteen units of thermal plants are used to test the demonstration of the solution quality and computation efficiency of the feasibility of the application of the Evolved Bat Algorithm for ELD. The experimental results compared with the genetic algorithm (GA) method for ELD, and with the particle swarm optimization (PSO) method for ELD, show that the applied EBA method for ELD can provide the higher efficiency and accuracy. © Springer International Publishing Switzerland 2015.

Duc M.N.,Dalian University of Technology | Trong T.N.,Haiphong Private University
2014 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014 | Year: 2014

Nonlinear dynamics robot manipulator control is much more complicated when compared with the objects having linear dynamics properties or non-linear static properties. Therefore, selection of the controller for the object having nonlinear dynamic properties seems to be an issue of paramount importance. In this paper, the authors have built a controller based on artificial neural networks. There are many ways to make choices among different network selection strategies; and in order to find the most optimum neural network, it requires a large number of tests being conducted on the objects, calculation of the number of layers in those objects as well as prediction of neural number in each layer. An ideal neural network should have lowest network training time as well as smallest error. Although, more number of neurons per layer means a reduction in error, this would create a difficulty in computation of neuron's parameters of the layer as well as cause an increment in network training time. Finding an optimum number of neurons per layer is therefore an important criterion. In this paper the authors have presented their experiences about network options and methods for balancing problems. © 2014 IEEE.

Dung N.T.K.,Haiphong Private University | Con T.H.,Hanoi University of Science | Cam B.D.,Hanoi University of Science | Kang Y.,Kochi University
Environmental Geochemistry and Health | Year: 2012

Water-dissolved oxygen was supplied into anaerobic aquifer, which oxidized Fe(II), Mn(II) and trivalent arsenic and changed them into undissolved solid matter through hydrolysis, precipitation, co-precipitation and adsorption processes. The experiment was carried out on the column imitated a bore core of anaerobic aquifer with water phase containing Fe(II), Mn(II), As(III) concentration of 45.12 mg/L, 14.52 mg/L, 219.4 μg/L, respectively and other ions similarly composition in groundwater. After 6 days of air supply, concentration of iron reduced to 0.38 mg/L, manganese to 0.4 mg/L, arsenic to 9.8 μg/L (equivalent 99.16% of iron, 97.25% of manganese and 95.53% of arsenic fixed), and for other ions, the concentration changed almost according to general principles. Ion phosphate and silicate strongly influenced on arsenic removal but supported iron and manganese precipitation from water phase. Based on the experimental results, new model of groundwater exploitation was proposed. © 2011 Springer Science+Business Media B.V.

Con T.H.,Hanoi University of Science | Cam B.D.,Hanoi University of Science | Dung N.T.K.,Haiphong Private University
EnvironmentAsia | Year: 2011

Micronucleus (MN) test in fish erythrocytes as a biomarker for marine environmental contamination. Micronucleus frequency baseline in erythrocytes was evaluated in and genotoxic potential of a common chemical was determined in fish experimentally exposed in aquarium under controlled conditions. Fish (Therapon jaruba) were exposed for 96 hrs to a single heavy metal (mercuric chloride). Chromosomal damage was determined as micronuclei frequency in fish erythrocytes. Significant increase in MN frequency was observed in erythrocytes of fish exposed to mercuric chloride. Concentration of 0.25 ppm induced the highest MN frequency (2.95 micronucleated cells/1000 cells compared.

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