Ho Chi Minh City, Vietnam

Ho Chi Minh City University of Technology

www.hcmut.edu.vn/
Ho Chi Minh City, Vietnam

Ho Chi Minh City University of Technology – a member of Vietnam National University, Ho Chi Minh City - still referred to by many as Phu Tho, is the flagship university in technology teaching and research activities in Vietnam. The university plays the active role in the fields of talents cultivation and providing manpower with strong technical skills to the Southern areas of Vietnam.HCMUT is a center of technology - industry and management training. The HCMUT training activities have made a remarkable contribution to satisfy the increasing demands for man power of the industrialization and modernization in Vietnam generally and Southern Vietnam areas particularly. Moreover, HCMUT is also the science research and technology transfer center which plays the significant role in providing information, applications of advanced technologies and technologies transfers to concerning industrial zones in the Southern areas of Vietnam.Up to May 2005, HCMUT has 11 faculties, 10 research and development centers, 4 training centers, 10 functioning offices and one limited company. During the past 30 years since Vietnam's unification, 45,000 engineers and Bachelors have graduated from HCMUT. Since 1994, HCMUT have trained 20,000 Bachelors of Science, 1,503 Masters and 25 Doctors, many of whom are either keeping management roles and or leading experts in state-owned or foreign-investment enterprises of different industries in Ho Chi Minh City and other southern provinces. Wikipedia.

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Tran T.T.D.,Ho Chi Minh City University of Technology | Tran P.H.L.,Deakin University
Current Pharmaceutical Design | Year: 2017

Poorly water-soluble drugs, which commonly face the issue of poor absorption and low bioavailability, have been under ongoing research of many formulation scientists for the past few decades. Solid dispersion is one of the most effective strategies in concerns for improving bioavailability of poorly water-soluble drugs. Either application of solid dispersions in dissolution enhancement of poorly water-soluble drugs or the use of swellable polymers in controlled drug release has been reported in pharmaceutical designs widely. However, a review of strategies of using swellable polymers in solid dispersion to take a full advantage of these polymers as a current perspective in facilitating drug bioavailability enhancement is still missing. In this review, we aim to provide a summary of techniques used to formulate a swellable polymer in solid dispersion especially a description of a suitable fabrication method in design of a controlled release solid dispersion. © 2017 Bentham Science Publishers.


Lysak V.V.,Ho Chi Minh City University of Technology
Materials Today: Proceedings | Year: 2017

Absorption properties of core/shell small nanoparticles are investigated using Mie theory. Results show large and wide absorption spectrum for the semiconductor particle coated by metal as a combination of resonances inside (semiconductor-metal interface) and outside of the metal layer. For metal particle coated by semiconductor only resonance inside (metal-semiconductor interface) is observed. © 2017 Elsevier Ltd.


Akinyele D.O.,Ho Chi Minh City University of Technology
Energy | Year: 2017

This paper presents the environmental analysis of a solar photovoltaic power generation (SPPG) plant model, proposed for small off-grid communities. The analysis carefully considers both the life cycle energy- and the emission-related impacts of the plant's components, such as the PV array and the balance of system (BOS). Results reveal that a proposed 54.15 kW SPPG plant has global warming potential (GWP) ranging from 72,445 to 75,085 kg CO2−eq. The results further show that the battery system accounts for ∼85–90% of the plant's GWP impact. The battery also accounts for ∼68–75% of the total cumulative energy demand (CED) of 7.01–10.36 × 106 MJ. The energy payback times (EPT) for the PV-only range from 2.12 to 4.39 years, while a relatively higher value of 9.41–10.36 years was obtained for the PV and the BOS. The net energy ratio (NER) values of 4.56–9.43 and 2.24–2.52 were obtained for the PV-only and the PV with BOS, respectively, for a lifetime of 20 years. The NERs obtained for a lifetime of 25 years were 5.7–11.79 and 2.41–2.66, while the values obtained for a 30-year lifetime range from 6.83 to 14.15 and 2.54 to 2.78. These results have been obtained under different solar irradiation levels, lifetimes and performance ratios (PRs) of 1450–2200 kWh/m2/yr, 20–30 years and 60–80%. The research outputs demonstrate that the battery system has the highest life cycle energy and emissions impact because of its relatively shorter lifespan and the replacements over the system's lifetime. However, a sensitivity analysis reveals that the impact of the battery reduces as the lifespan increases. In addition, the GWP and the EPTs increases as the PRs are decreased, while the NERs are reduced. The significance of the study is that it reveals the effect of solar irradiation, lifetimes, PRs and the battery lifespan on the SPPG plant's environmental performance, which can be a basis for understanding solar PV life cycle impact for different locations around the world. © 2017 Elsevier Ltd


Nguyen T.D.,Ho Chi Minh City University of Technology | Lee H.-H.,University of Ulsan
IEEE Transactions on Industrial Informatics | Year: 2014

A new space vector modulation (SVM) process for use in an indirect matrix converter (IMC) has been proposed in this paper to reduce the common-mode voltage (CMV) in a high voltage transfer ratio. The principles of selecting suitable active vectors and then properly arranging the switching sequence in the inverter stage of the IMC are described. The IMC with the new SVM method significantly reduces the peak-to-peak voltage of the CMV without any extra hardware. The new SVM method has some other advantages such as a lower total harmonic distortion of line-to-line output voltage and a reduced switching loss at the inverter stage through a minimum number of switching commutations as compared to the conventional reduced CMV-SVM method. The proposed modulation can be easily implemented in software without any additional hardware modifications. Both simulation and experimental results are shown to demonstrate that the new SVM method can generate good performance of the input/output waveforms and provide CMV reduction. © 2005-2012 IEEE.


Nguyen T.D.,Ho Chi Minh City University of Technology | Lee H.-H.,University of Ulsan
IEEE Transactions on Power Electronics | Year: 2014

This paper proposes an indirect matrix converter (IMC) topology with dual three-phase outputs and its effective carrier-based pulse width modulation (PWM) method. The proposed IMC topology can independently supply ac power for two three-phase loads from a single three-phase ac power source. This converter consists of a rectifier stage used in traditional three-phase IMC and a five-leg inverter. Besides a proposed IMC topology, the carrier-based PWM method suitable for this converter is also introduced. The proposed PWM method is easily implemented by using only one symmetrical triangular carrier signal to generate the PWM signals for a rectifier and five-leg inverter. Proposed IMC topology features the advantages of conventional three-phase IMC, such as sinusoidal input/output current waveforms, controllable input power factor, and simple commutation at the rectifier stage. Analysis, simulation, and experimental results are provided to demonstrate the advantages of the proposed IMC topology with dual three-phase outputs and to validate the effectiveness of the applied modulation strategy. © 1986-2012 IEEE.


Quang P.T.A.,Ho Chi Minh City University of Technology | Kim D.-S.,Kumoh National Institute of Technology
IEEE Transactions on Industrial Informatics | Year: 2014

This paper proposes a routing algorithm that enhances throughput and decreases end-to-end delay in industrial cognitive radio sensor networks (ICRSNs) based on ISA100.11a. In ICRSNs, the throughput is downgraded by interference from primary networks. The proposed routing algorithm is targeted at large-scale networks where data are forwarded through different clusters on their way to the sink. By estimating the maximum throughput for each path, the data can be forwarded through the most optimal path. Simulation results show that our scheme can enhance throughput and decrease end-to-end delay. © 2005-2012 IEEE.


Anh H.P.H.,Ho Chi Minh City University of Technology
Expert Systems with Applications | Year: 2010

This paper presents a detailed study to investigate the possibility of applying the online tuning gain scheduling MIMO neural dynamic DNN-PID control architecture to a nonlinear 2-axes pneumatic artificial muscle (PAM) robot arm so as to improve its joint angle position output performance. The proposed controller was implemented as a subsystem to control the real-time 2-axes PAM robot-arm system so as to control precisely the joint angle position of the 2-axes PAM robot arm when subjected to system internal interactions and load variations. The results of the experiment have demonstrated the feasibility and benefits of the novel proposed control approach in comparison with the traditional PID control strategy. The proposed gain scheduling neural MIMO DNN-PID control scheme forced both joint angle outputs of 2-axes PAM robot arm to track those of the reference simultaneously under changes of the load and system coupled internal interactions. The performance of this novel proposed controller was found to be outperforming in comparison with conventional PID. These results can be applied to control other highly nonlinear systems. © 2010 Elsevier Ltd. All rights reserved.


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.


Ho-Van K.,Ho Chi Minh City University of Technology
Wireless Personal Communications | Year: 2013

We derive a closed-form bit error rate (BER) formula for underlay cognitive N-hop networks operated over Nakagami-m fading channels where N is the arbitrary integer. This formula is corroborated by Monte Carlo simulations and useful for evaluating the network performance under different parameters such as modulation level, path-loss, maximum transmit power, tolerable interference power level, fading model, and the number of hops. Numerical results illustrate that underlay cognitive multi-hop networks suffer a high error floor and the BER performance not only depends on the number of hops but also the network topology. For the linear network model, the higher the number of hops, the better the network performance. © 2012 Springer Science+Business Media, LLC.


Ho-Van K.,Ho Chi Minh City University of Technology
Wireless Personal Communications | Year: 2013

Our contribution in this paper is the derivation of an exact closed-form outage probability formula for underlay cognitive cooperative networks operated over Rayleigh fading channels. The derivation considers the correlation among received signal-to-noise ratios, two critical constraints (interference power constraint and maximum transmit power constraint), and non identically distributed (i.d.) channels. The derived formula is corroborated by Monte Carlo simulations and is served as an useful and effective tool to evaluate the performance behavior of underlay cognitive cooperative networks without time-consuming simulations under different operation parameters. Numerical results illustrate that underlay cognitive cooperative networks suffer the outage saturation phenomenon for a given maximum interference power level. © 2012 Springer Science+Business Media, LLC.

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