Haiphong Private University

Haiphong, Vietnam

Haiphong Private University

Haiphong, Vietnam

Time filter

Source Type

Trong T.N.,Haiphong Private University | Tien B.N.,Haiphong University | Thanh H.N.,University of Transport and Communications
2013 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013 | Year: 2013

This paper presents a novel technique for the excitation control of the doubly-fed induction generator (DFIG) connected to the grid basing on the rotor similar signal method. That is using the similar signals from rotor of a small capacity doubly-fed induction machine (DFIM) as a base to generate the signal for the excitation control of DFIG. Based on this method, all stages in system are very simple; and the active power and the reactive power of DFIG supplied to the grid will be controlled separately. The active power is in proportion to the coefficient Kp and the reactive power is in proportion to the coefficient Kq, so we can independently control the reactive power and the reactive power of DFIG fed into the grid by adjusting the value of Kq and Kq, so it is easy to control the system. Although the simple controllers such as PI controllers are used to control the power system, the quality of the system is high. In summary, the advantage of this method is that system is simple but still effective. © 2013 IEEE.


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.


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.


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.


Nguyen Duc M.,Haiphong Private University | Trong T.N.,Haiphong Private University | Xuan Y.S.,Dalian University of Technology
2015 IEEE International Conference on Mechatronics and Automation, ICMA 2015 | Year: 2015

Quadrotor MAV is a simple structure multi-rotor aircraft with vertical take-off and landing ability, rendering it suitable for ground environmental inspection in both civil and military domain. This paper focuses on mathematical modeling and flight controller design of the quadrotor. © 2015 IEEE.


Giang N.T.,HaiPhong Private University | Tao N.Q.,Vietnam Academy of Science and Technology | Dung N.D.,Vietnam Academy of Science and Technology | Trong N.,HaiPhong Private University
Proceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014 | Year: 2015

In content-based image retrieval, relevance feedback is an effective approach to narrow the semantic gap between low-level feature and high-level semantic interpretation by using user's feedback to judge the relevance images in the retrieval process. One important issue of RF-algorithms is how to efficiently and effectively select the helpful unlabelled samples for labelling so that the retrieval performance can be improved most efficiently. In this paper, we propose a batch mode active learning scheme for informative sample selection in interactive image retrieval. Firstly, a decision boundary is learned via Support Vector Machine (SVM) to filter the images within database. Then, a new selection criterion is defined by considering both the scores of SVM function and similarity measures between the query and the images in the database. By using this new selection criterion, the proposed scheme could obtain the most informative and representative samples for improving the efficiency of SVM active learning, thus the retrieval performance is improved significantly. The experimental results on publicly available datasets show that the proposed scheme is more effective than the traditional approaches. © 2014 IEEE.


Pan T.-S.,National Kaohsiung University of Applied Sciences | Dao T.-K.,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

In this paper, a communication strategy for hybrid Particle Swarm Optimization (PSO) with Bat Algorithm (BA) is proposed for solving numerical optimization problems. In this work, several worst individuals of particles in PSO will be replaced with the best individuals in BA after running some fixed iterations, and on the contrary, the poorer individuals of BA will be replaced with the finest particles of PSO. The communicating strategy provides the information flow for the particles in PSO to communicate with the bats in BA. Six benchmark functions are used to test the behavior of the convergence, the accuracy, and the speed of the approached method. The results show that the proposed scheme increases the convergence and accuracy more than BA and PSO up to 3% and 47% respectively. © Springer International Publishing Switzerland 2015.


Nguyen T.-T.,Haiphong Private University | Shieh C.-S.,National Kaohsiung University of Applied Sciences | Horng M.-F.,National Kaohsiung University of Applied Sciences | Ngo T.-G.,Haiphong Private University | Dao T.-K.,National Kaohsiung University of Applied Sciences
Advances in Intelligent Systems and Computing | Year: 2015

Prolonging the lifetime of the network is an important issue in the design and deployment of wireless sensor networks (WSN). One of the crucial factors to prolong lifetime of WSNs is to reduce energy consumption. In this study, Bat algorithm (BA) is used to find out an optimal cluster formation trying to minimize the total communication distance. Taking into account the hot spot problem in multihop WSNs, the communication distance is modeled by bat’s loudness parameter in our scheme. The communication distance and energy consumption of each node in the cluster can then be optimized with the bat algorithm. The experimental results show that this approach achieves 3% improvement of convergence and accuracy in comparison with Particle swarm optimization. © Springer International Publishing Switzerland 2015.


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.


Van Chieu D.,HaiPhong Private University | Van Hung D.,Hanoi University of Science and Technology
ACM International Conference Proceeding Series | Year: 2012

This paper proposes a method for specification and verification of distributed real-time systems using timed traces. The key idea of the proposed method is to extend distributed transition systems and linear temporal logic over Foata configurations with time. We show that systems are easily specified and verified with this method. The system behaviors are specified by a distributed duration transition system and the system properties are specified by a formula of our proposed timed logic over timed traces. We give an algorithm for solving the verification problem automatically. We also give an example to illustrate how our algorithm work. Copyright © 2012 ACM.

Loading Haiphong Private University collaborators
Loading Haiphong Private University collaborators