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Ho Chi Minh City, Vietnam

Nguyen Q.H.,Ho Chi Minh University of Industry | Choi S.B.,Inha University
Smart Materials and Structures | Year: 2010

This paper presents an optimal design of a magnetorheological (MR) brake for a middle-sized passenger car which can replace a conventional hydraulic disc-type brake. In the optimization, the required braking torque, the temperature due to zero-field friction of MR fluid, the mass of the brake system and all significant geometric dimensions are considered. After describing the configuration, the braking torque of the proposed MR brake is derived on the basis of the field-dependent Bingham and Herschel-Bulkley rheological model of the MR fluid. The optimal design of the MR brake is then analyzed taking into account available space, mass, braking torque and steady heat generated by zero-field friction torque of the MR brake. The optimization procedure based on the finite element analysis integrated with an optimization tool is proposed to obtain optimal geometric dimensions of the MR brake. Based on the proposed procedure, optimal solutions of single and multiple disc-type MR brakes featuring different types of MR fluid are achieved. From the results, the most effective MR brake for the middle-sized passenger car is identified and some discussions on the performance improvement of the optimized MR brake are described. © 2010 IOP Publishing Ltd. Source


Cuong N.-V.,Chung Yuan Christian University | Cuong N.-V.,Ho Chi Minh University of Industry | Li Y.-L.,Chung Yuan Christian University | Hsieh M.-F.,Chung Yuan Christian University
Journal of Materials Chemistry | Year: 2012

Conventional nanocarriers are associated with systemic toxicity and poor bioavailability of the anti-tumor drugs due to undesired specificity. The objective of this study is to introduce a folic targeting ligand on the surface of a polymeric nanocarrier to enhance the delivery of the doxorubicin (DOX) via ligand-mediated endocytosis. Hence, the folate decorated-micelle based on the star-shape FOL-PEG-PCL copolymer was synthesized. The chemical structure of the copolymer was characterized by proton nuclear magnetic resonance spectroscopy, gel permeation chromatography and differential scanning calorimetry, respectively. A generalized biocompatibility test of the micelle was evaluated using MTT assay, in vitro hemolytic test, nitric oxide production and reactive oxygen species generation, respectively. When DOX was encapsulated in the micelle, the drug loading efficiency and drug loading content were found to be 90% and 13%, respectively. The average particle size of the DOX-loaded micelle, determined by dynamic light scattering was 148.2 nm. The intracellular uptake experiments showed that human breast cancer cells (MCF-7) could uptake a similar amount of DOX from two dosage forms: free DOX and DOX-loaded FOL-PEG-PCL micelle. The uptake of DOX-loaded FOL-PEG-PCL micelle was higher than that of free DOX in MCF-7/adr cells, adriamycin-resistant cell line. The uptake of the micelle in MCF-7 was found to be time-dependent; e.g. caveolae/lipid-raft mediated endocytosis and then folate receptor-mediated endocytosis was observed. This study demonstrates that the FOL-PEG-PCL micelle was non-toxic and the DOX-loaded FOL-PEG-PCL micelle could be a potential carrier for cancer treatments. © The Royal Society of Chemistry 2011. Source


Nguyen H.C.,Ho Chi Minh University of Industry
Studies in Computational Intelligence | Year: 2013

Bilingual Base Noun Phrase extraction is one of the key tasks of Natural Language Processing (NLP). This task is more challenges for the pair of English-Vietnamese because of the lack of available Vietnamese language resources such as robust NLP tools and annotated training data. This paper presents a bilingual dictionary-, a bilingual corpus- and knowledge-based method to identify Base Noun Phrase correspondences from a pair of English-Vietnamese bilingual sentences. Our method identifies anchor points of the Base Noun Phrase in English sentence, and then it performs alignment based on these anchor points. Our method not only overcomes the lack of resources of Vietnamese but also improves the performance of miss-alignment, null-alignment, overlap and conflict projection of the existing methods. The proposed technique can be easily applied to other language pairs. Experiment on 35,000 pairs of sentences in the English-Vietnamese bilingual corpus showed that our proposed method can obtain the accuracy of 78.5%. © Springer-Verlag Berlin Heidelberg 2013. Source


Hung N.Q.,Ho Chi Minh University of Industry | Bok C.S.,Inha University
Mechanics Based Design of Structures and Machines | Year: 2012

This research focuses on developing a new configuration and optimal design of magnetorheological (MR)-fluid-based brake (MR brake in short) for a middle-sized motorcycle that can replace conventional drum-type brake. A novel configuration featuring a T-shaped drum and a hybrid concept of magnetic circuit (using both axial and radial magnetic flux) to generate braking force is proposed for the MR brake. An optimal design of the MR brake considering the required braking torque, the temperature due to zero-field friction of MR fluid, the mass of the brake system, and all significant geometric dimensions is performed. After a brief introduction of the configuration of the proposed MR brake, the braking torque is derived based on Herschel-Bulkley rheological model of the MR fluid. The optimal design of the MR brake is then analyzed taking into account available space, mass, braking torque, and steady heat generated by zero-field friction torque of the MR brake. An optimization procedure based on the finite element analysis (FEA) integrated with an optimization tool is used to obtain optimal geometric dimensions of the MR brake. From the results, discussions on the performance improvement of the optimized MR brake are described. © 2012 Copyright Taylor and Francis Group, LLC. Source


Le T.,Ho Chi Minh University of Industry | Vo B.,Ho Chi Minh City University of Technology
Engineering Applications of Artificial Intelligence | Year: 2014

Erasable itemset (EI) mining is an interesting variation of frequent itemset mining which allows managers to carefully consider their production plans to ensure the stability of the factory. Existing algorithms for EI mining require a lot of time and memory. This paper proposes an effective algorithm, called mining erasable itemsets (MEI), which uses the divide-and-conquer strategy and the difference pidset (dPidset) concept for mining EIs fully. Some theorems for efficiently computing itemset information to reduce mining time up and memory usage are also derived. Experimental results show that MEI outperforms existing approaches in terms of both the mining time and memory usage. Moreover, the proposed algorithm is capable of mining EIs with higher thresholds than those obtained using existing approaches. © 2013 Elsevier Ltd. Source

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