http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Bui Ngoc Minh Truong,안경관 한국정밀공학회 2017 International Journal of Precision Engineering and Vol.18 No.8
Over the past three decades, micropumps have been intensively interested to handle and to carry small and precise volumes of liquid in many fields of modern industry. Especially, smart actuator based diaphragm micropumps have received considerable attention because of its simple structure and operation precisely. However, hysteresis phenomenon in the smart actuator is the barrier which prevents the system functioning correctly. This study deals with a mitigation strategy of the hysteresis effects for a typical dielectric electro-active polymer actuator based diaphragm micropump in order to improve the performance of the micropump. Firstly, the forward and inverse hysteresis models are designed and optimized to describe the rate-dependent hysteresis behavior of the actuation system. The model-based control method is then developed and validated to drive the system precisely at high frequencies. Finally, experiments have been conducted to demonstrate the effectiveness of the control strategy in a real application. As a result, the hysteresis behaviors of the smart actuator are effectively compensated at the frequencies up to 1Hz and a maximum time average flow rate of 1.443 mL/min and maximum backpressure of 833.5 Pa at room temperature are recorded.
Mathematical Modeling of a Variable Displacement Vane Pump for Engine Lubrication
Bui Ngoc Minh Truong,Dinh Quang Truong,Nguyen Thanh Trung,Ahn Kyoung Kwan 제어로봇시스템학회 2015 제어로봇시스템학회 국제학술대회 논문집 Vol.2015 No.10
This paper developed a complete and accurate mathematical model for a typical variable displacement vane-type oil pump to investigate the working performance of the pump. Firstly, the detailed theoretical model was built based on pump’s geometric design and dynamic analyses. Next, numerical simulations with the constructed model and experiments on the real pump system were carried out to analyze the main power loss factors in order to develop the complete model with high accuracy. The estimated pump performance using the complete pump model was finally verified by numerical simulations in comparison with the practical tests.
Development of an Electronically Controlled Variable Displacement Vane Pump for Engine Lubrication
Truong, Dinh Quang,Truong, Bui Ngoc Minh,Ahn, Kyoung Kwan,Lee, Jae Shin Korean Society for Precision Engineering 2015 International Journal of Precision Engineering and Vol.16 No.9
Lubrication is one of the most important factors in developing internal combustion engines. And vane pumps are known as potential choices for conducting the engine lubrication systems. To better optimize the lubrication performance, an electronically controlled variable displacement vane pump developed from a typical vane pump is newly introduced in this paper. Firstly, the concept and methodology to design properly an electric actuator to provide an additionally degree of pump control by regulating the pump displacement is carefully considered. Secondly, a control logic is developed to manage the operation of the actuator and subsequently, smoothly varying the pump output in order to satisfy any given lubrication profile. Finally, test rigs are setup to investigate the performances of the fabricated actuator and pump prototype. Practical tests are performed to evaluate the effectiveness of the newly pump design over the typical one.
A Low-Cost Speech to Sign Language Converter
Le, Minh,Le, Thanh Minh,Bui, Vu Duc,Truong, Son Ngoc International Journal of Computer ScienceNetwork S 2021 International journal of computer science and netw Vol.21 No.3
This paper presents a design of a speech to sign language converter for deaf and hard of hearing people. The device is low-cost, low-power consumption, and it can be able to work entirely offline. The speech recognition is implemented using an open-source API, Pocketsphinx library. In this work, we proposed a context-oriented language model, which measures the similarity between the recognized speech and the predefined speech to decide the output. The output speech is selected from the recommended speech stored in the database, which is the best match to the recognized speech. The proposed context-oriented language model can improve the speech recognition rate by 21% for working entirely offline. A decision module based on determining the similarity between the two texts using Levenshtein distance decides the output sign language. The output sign language corresponding to the recognized speech is generated as a set of sequential images. The speech to sign language converter is deployed on a Raspberry Pi Zero board for low-cost deaf assistive devices.
Thanh Danh Le,Minh Truong Ngoc Bui,Kyoung Kwan Ahn IEEE 2016 IEEE/ASME transactions on mechatronics Vol.21 No.3
<P>Improvement of the isolation effectiveness of the isolation system using negative stiffness structure (NSS) named 'system with NSS' by introducing an adaptive sliding mode control algorithm is presented in this paper. The control strategy is to employ a radial basis function neural network (RBFNN) model to approximate the equivalent control effort and a self-tuning proportional-integral-derivative (PID) algorithm is used to compensate approximate error. Moreover, a fuzzy logic inference mechanism is utilized for realizing an auxiliary control law to remove completely the chattering problem on the conventional sliding mode control. Then, the Lyapunov stability theorem is utilized to figure out the adaptive laws for updating the coefficients in the RBFNN model, PID compensator, and tuning the fuzzy parameters. Finally, four experimental cases of studies are performed to evaluate the proposed control method.</P>
Adaptive Grey Predictor-based Controller for Force Control of EHA System
Dao Thanh Liem,Bui Ngoc Minh Truong,Kyoung Kwan Ahn 제어로봇시스템학회 2016 제어로봇시스템학회 국제학술대회 논문집 Vol.2016 No.10
This study aims to develop an effective control approach for force control of a typical EHA system. This control scheme is considered as an advanced combination of a feedforward neural network – based PID (FNNPID) controller and a fuzzy grey predictor (FGP), shortened as feedforward neural network fuzzy grey predictor (FNNFGP). Here, the FNNPID controller is used to drive the system to desired targets. Meanwhile, the FGP predictor with self-tuning ability of the predictor step size takes part in, first, estimating the system output in the near future to optimize the controller parameters in advance and, second, creating a compensating control signal accordingly to the system perturbations and, consequently, improving the control performance. Real-time experiments have been carried out to investigate the effectiveness of the proposed control approach.
Impact of EVFTA on Trade Flows of Fruits between Vietnam and the EU
Duc Trong TRAN,Van Thu BUI,Ngoc Minh VU,Tung Son PHAM,Hue Minh TRUONG,Thuy Thu DANG,Tu Van TRINH 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.5
The European Union Vietnam Free Trade Agreement (EVFTA) took effect on August 1 paving the way for increased trade between the EU and Vietnam; this marked a huge turning point for the Vietnamese economy. Agriculture products, especially fruits, must be listed when it comes to Vietnam export industries that profit the most from EVFTA. After a period of study, with the desire to contribute to the improvement in the efficiency of Vietnam’s agricultural products to the EU, the researchers want to assess the impact of the EVFTA on the flows of Vietnamese fruits to the EU market. The study uses a quantitative analysis method via the WITS-SMART model with data on export turnover and tariff reductions in parallel with the analysis of changes in factors affecting the trade flows of fruits between the two markets when the EVFTA takes effect. As a result, Vietnam’s fruit importing from the EU is expected to escalate by 29.18% in 2021, while the flow of export will only inch up by 0.955%, which is rather low compare to the increase in import value. Hence, effective policies must be introduced in Vietnam to innovate production methods and increase product quality, so that the EVFTA can be used to boost Vietnam’s fruit exports to the EU.
Efficacy of electrochemically activated water solution in gingivitis treatment
Dinh‑Toi Chu,Van‑Huy Pham,Thien Chu‑Dinh,Truong Nhu Ngoc Vo,Duc Long Duong,Van Nhon Bui,Minh Son Tong,Thi Thu Phuong Nguyen,Quynh Anh Le,Khanh‑Hoang Nguyen 한국약제학회 2019 Journal of Pharmaceutical Investigation Vol.49 No.3
Mouthwash is one of the most commonly oral healthcare products for prevention and treatment of gum diseases. Dr. ECA is a disinfectant solution manufactured by a Vietnamese company and has been licensed for oral healthcare, but its effect on gingivitis is still unclear. To evaluate the effectiveness of this product in the treatment of gingivitis, we conducted a clinical study in 60 students diagnosed with gingivitis to compare the results of gingivitis treatment using Dr. ECA and a control mouthwash (a demonstrated anti-gingivitis product). The data showed that in the treated group, the rate of good Gingivitis Index (GI) before treatment was 46.67%, but after 2 and 4 weeks of using Dr. ECA that rate was increased to 96.67% and 100%, respectively. The percentage of patients with bleeding on probing was 63.33% but declined sharply after 2 weeks of treatment to 6.67%, and further reduced to 3.33% after 4 weeks of treatment. The treatment outcomes in were similar in the Dr. ECA treated group and control one with no statistically significant difference. Our results suggest that the electrolyte saline solution Dr. ECA is effective in treating gingivitis. Its effects are similar to other mouthwash products that had been approved and marketed.