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Going beyond Border? Intention to Use International Bank Cards in Vietnam
Dzung Tran Trung PHAN,Thanh Thi Ha NGUYEN,Tuan Anh BUI 한국유통과학회 2019 The Journal of Asian Finance, Economics and Busine Vol.6 No.3
The paper aims to explore the factors affecting potential users of international bank cards in Vietnam. With milestones treaties being signed CPTPP and EVFTA, Vietnam is now exposing itself to the international open environment. Bank card market is at the core of this wind of change, and that is the reason for us to research the intention to use international bank cards. Given that the decision to choose international bank cards could either be the switch from domestic cards or adopting a brand new card, we develop some specific constructs to reflect that consideration, specifically PE and PD, asides from traditional constructs used in TPB and TAM frameworks. The analysis work is conducted using PLS-SEM approach. Our findings reveals that most of our proposed hypotheses are supported, in which SN plays the most important direct role to INT, while total effect of PU on INT is similar to that of SN. The newly introduced PD negatively and significantly impacts INT, and PE also has a positive impact on INT. The findings suggest that overall, it is important for bank card issuers to have a balance approach to the market, with focus on increasing usefulness and reducing potential disadvantages of international bank cards.
Benefit of the Drinking Water Supply System in Office Building by Rainwater Harvesting
Anh Dzung Dao,Viet Anh Nguyen,Moo Young Han 대한환경공학회 2013 Environmental Engineering Research Vol.18 No.2
Vietnam is a developing country with the rate around 5%.6% per year, especially in urban areas. Rapidly developed urban areas lead to stress for infrastructure and the water supply is also stressed. In Hanoi city, total water capacity from the manufactories is around one million cubic meters per day and almost the entire main water source is groundwater but it is not enough to supply all of Hanoi`s people, especially in the summer. A demo project is implemented in Hanoi University of Civil Engineering (HUCE) to produce drinking water by using the rainwater and membrane system and supply for people. In this project, rainwater is collected on the rooftop of the lecture building with an area of around 500 m2 and 100 m3 volumetric rainwater tanks. Afterwards, the rainwater is treated by the micromembrane system and supplied to the tap water. Total cost for construction, technology and operation in the first year is around USD 48,558. In the long-term (15 yr) if HUCE invests in the same system, with 20 m3 volumetric storage tank, it can provide drinking water for 500 staffs in every year. The cost of investment and operation for this system is lower than 30% compared to buying bottled water with the price USD 1.8/bottle. The drinking water parameters after treatment are pH, 7.3.7.75; turbidity, 0.6.0.8 NUT; total dissolved solids, 60.89 mg/L; coliform, 0; heavy metal similar with water quality in the bottle water in Vietnam.
An Adaptive Input Data Space Parting Solution to the Synthesis of Neuro-Fuzzy Models
Sy Dzung Nguyen,Kieu Nhi Ngo 대한전기학회 2008 International Journal of Control, Automation, and Vol.6 No.6
This study presents an approach for approximation an unknown function from a numerical data set based on the synthesis of a neuro-fuzzy model. An adaptive input data space parting method, which is used for building hyperbox-shaped clusters in the input data space, is proposed. Each data cluster is implemented here as a fuzzy set using a membership function MF with a hyperbox core that is constructed from a min vertex and a max vertex. The focus of interest in proposed approach is to increase degree of fit between characteristics of the given numerical data set and the established fuzzy sets used to approximate it. A new cutting procedure, named NCP, is proposed. The NCP is an adaptive cutting procedure using a pure function Ψ and a penalty function τ for direction the input data space parting process. New algorithms named CSHL, HLM1 and HLM2 are presented. The first new algorithm, CSHL, built based on the cutting procedure NCP, is used to create hyperbox-shaped data clusters. The second and the third algorithm are used to establish adaptive neuro-fuzzy inference systems. A series of numerical experiments are performed to assess the efficiency of the proposed approach.
Overconfidence Bias, Comparative Evidences between Vietnam and Selected ASEAN Countries
PHAN, Dzung Tran Trung,LE, Van Hoang Thu,NGUYEN, Thanh Thi Ha Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.3
The study aims to investigate the existence of overconfidence bias in Vietnam, Thailand, and Singapore. This paper focuses on the Vietnam Stock Market and other two countries of ASEAN, namely Singapore and Thailand. Data was collected over the period from January 1, 2014 to December 31, 2018, daily returns for each of the securities. This paper uses the time series method, namely ADF test, Granger Causality and VAR approach to find evidences of the overconfidence effect in Vietnam in relation to some ASEAN markets. The results show similarities between the observed countries with slight variations, with focus on Vietnam market. In general concrete evidences of overconfidence were found in both Vietnamese and Singaporean markets, in which Singaporean investors show higher degree of overconfidence than Vietnamese investors. Overconfidence is not as clear in Thai market, however a direct causal link from increased returns to increased investor confidence was found. From the model deployed in the paper, there are reasons to conclude that Thai investors are under-confident. The findings of the study shed lights into the existence of overconfidence bias in Vietnam, Thailand, and Singapore on a comparative basis, provide more insights and implications for future research in this new and rising field of research.
Design and Fabrication of Six-Degree of Freedom Piezoresistive Turbulent Water Flow Sensor
Dao, Dzung Viet,Toshiyuki, Toriyama,Wells, John C.,Susumu, Sugiyama 한국센서학회 2002 센서학회지 Vol.11 No.4
This paper presents the design concept, theoretical investigation, and fabrication of a six-degree of freedom (6-DOF) turbulent flow micro sensor utilizing the piezoresistive effect in silicon. Unlike other flow sensors, which typically measure just one component of wall shear stress ^[1,2], the proposed sensor can independently detect six components of force and moment on a test particle in a turbulent flow. By combining conventional and four-terminal piezoresistors in Si (111), and arranging them suitably on the sensing area, the total number of piezoresistors used in this sensing chip is only eighteen much fewer than the forty eight piezoresistors of the prior art piezoresistive 6-DOF force sensor ^[3].
SD-TCSs Control Deriving from Fractional-order Sliding Mode and Fuzzy-compensator
Sy Dzung Nguyen,Vien Quoc Nguyen 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.5
Uncertainty and disturbance (UAD) always exist and influence negatively on technical systems. Focusing on improving the effectiveness of smart dampers (SDs)-based semi-active train-car suspensions (SD-TCSs), we present the fuzzy-compensator-enhanced fractional-derivative (FD) order sliding control of a class of SD-TCSs subjected to UAD, in which the disturbance time-varying rate (DTVR) may be high but bounded. To reduce uncertainty related to the mathematical model error, we propose a fractional derivative (FD)-based sliding mode controller (FDSMC) for specifying the main control signal. Whereas, to estimate the compensation for external disturbance, first, we utilize the well-known DO to build an initial framework of the compensator. To avoid conflict between the update-laws of the DO and FDSMC, as well as to make the system dynamic response converge stably to the desired state even if the DTVR increasing but bounded, constraints along with a fuzzy-based adjusting mechanism are then discovered. Thus, we obtain an improved DO (imDO), update-laws of the imDO and FDSMC, and their combination model (imDO-FDSMC) of the proposed controller. The survey results reflect the positive capability of the method.