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Ngoc Thi Bao Nguyen,Hoang Van Nguyen,Nhan Thanh Tran,Phat Tan Vu,Phung My Loan Le,Man Van Tran 대한금속·재료학회 2023 ELECTRONIC MATERIALS LETTERS Vol.19 No.3
High voltage cathode materials LiNi x Mn 2−x O 4 (x = 0.4; 0.5) have been attracting greater attention in developing high energydensity Li-ion battery technology for electrical vehicles and large-scale applications. The main challenge of high voltagecathodes is severe electrolyte decomposition leading to short cell cycle life. In addition, LiNi 0.4 Mn 1.6 O 4 cathode materialprocessed with polyvinylidene fl uoride (PVdF) binder generally suff ers an oxidation decomposition as well as cathodedelamination from current collectors during cycling. Herein, we suggest using sodium carboxymethyl cellulose (CMC),lithium polyacrylic acid (LiPAA) as water-soluble binders for replacing conventional PVdF in cathode processing to demonstratethe eff ectiveness on long-cycling of half-cell Li || LiNi 0.4 Mn 1.6 O 4 , full-cell SiO 2 -graphite || LiNi 0.4 Mn 1.6 O 4 and SiO 2|| LiNi 0.4 Mn 1.6 O 4 . In half-cell, the cells with water-soluble binders-based cathode exhibited a higher discharge capacity thanthe one using PVdF binder (CMC—126.0 mAh/g; LiPAA—125.7 mAh/g; PVdF—117 mAh/g at C/5, respectively). CMCand LiPAA also improve retention capacity up to 90% after 500 cycles at C/3. Interestingly, LiPAA based electrode exhibitsan excellent rate-capability with discharge capacity of 80 mAh/g at 8C. The stability of electrodes was also investigated byelectrode chemical impedance spectroscopy (EIS) and Scanning electron microscope (SEM). In full-cell, CMC and LiPAAbased cells showed eff ectiveness in decreasing transition metal dissolution and preventing the cathode degradation duringlong-cycling through its excellent capacity retention in 200 cycles at C/3.
Thi My Ni PHAM,Thi Ngoc Thao PHAM,Ha Phuong Truc NGUYEN,Bao Tuyen LY,Truc Linh NGUYEN,Hoanh Su LE 한국유통과학회 2022 The Journal of Asian Finance, Economics and Busine Vol.9 No.5
Banking and finance is a broad term that incorporates a variety of smaller, more specialized subjects such as corporate finance, tax finance, and insurance finance. A virtual assistant that assists users in searching for information about banking and finance terms might be an extremely beneficial tool for users. In this study, we explored the process of searching for information, seeking opportunities, and developing a virtual assistant in the first stages of starting learning and understanding Vietnamese to increase effectiveness and save time, which is also an innovative business practice in Use-case Vietnam. We built the FIBA2020 dataset and proposed a pipeline that used Natural Language Processing (NLP) inclusive of Natural Language Understanding (NLU) algorithms to build chatbot applications. The open-source framework RASA is used to implement the system in our study. We aim to improve our model performance by replacing parts of RASA’s default tokenizers with Vietnamese tokenizers and experimenting with various language models. The best accuracy we achieved is 86.48% and 70.04% in the ideal condition and worst condition, respectively. Finally, we put our findings into practice by creating an Android virtual assistant application using the model trained using Whitespace tokenizer and the pre-trained language m-BERT.
Relationships between Real Estate Markets and Economic Growth in Vietnam
My-Linh Thi Nguyen,Toan Ngoc Bui,Thang Quyet Nguyen 한국유통과학회 2019 The Journal of Asian Finance, Economics and Busine Vol.6 No.1
This study analyses the relationship between the real estate market and economic growth in Vietnam, a country with a fledgling real estate market. Research data included economic growth rate and growth rate of the real estate market in Vietnam. The research used quarterly data for the period from 2005: Q1 to 2018: Q1. With the characteristics of Vietnam, there has been no real estate index up to now; therefore, the research used data on growth rates of the real estate market. In addition, the real estate market in Vietnam is still young, so the data series is very short, which is a limitation of this research. With qualitative and quantitative methods especially with the Vector Auto Regressive (VAR) model; the results of the study indicate new findings, unlike previous studies, including: (1) The real estate market positively impacts Vietnam's economic growth, most noticeably in the second quarter lag and the fourth quarter lag, and then its trend impacts inversely; (2) The real estate market and economic growth in Vietnam have fluctuated over time with many risks that are affected by the past shocks of these factors. From these ndings, we proposed some managerial implications for managing the real estate market with economic growth in Vietnam sustainably.
Hong Thi Bich Truong,Hiep Nghia Bui,Hieu Trung Nguyen,Thanh-Luu Pham,Duy Ngoc Nguyen,Yuan-Shing Perng,Linh Thi My Lam,Thi-Dieu-Hien Vo,Van-Truc Nguyen,Ha Manh Bui 한국화학공학회 2022 Korean Journal of Chemical Engineering Vol.39 No.4
Electron-beam (EB) irradiation was employed to degrade enrofloxacin (ENR) in an aqueous solution. Thealgal growth inhibition test revealed that ENR exhibited low toxicity against the cyanobacterium Arthrospira sp., with anEC50-96 h value of 5.17mg/L. The Taguchi design also involved finding the best optimum for ENR treatment using EB. Results revealed that the high-efficiency removal of ENR in an aqueous solution was approximately 98.53% under theoptimum conditions of an absorbed dose of 5 kGy, a pH of 5.0, and an initial ENR concentration of 10 mg/L and anH2O2 concentration of 2mM. The ERR degradation under a couple of EB irradiation and H2O2 followed pseudo-firstorderkinetics, with an R2 of ~0.970. The major degradation pathways of ENR were suggested by density functional theory,natural bond orbital calculations, and liquid chromatography-tandem mass spectrometry (LC/MS/MS) analysis. Lifecycle assessment (LCA) was also performed to evaluate the impact of the EB on removing ENR; the industrial processwas designed based on laboratory tests aimed with the ReCiPe tool. The obtained results indicated that energy consumptionand H2O2 affect environmental impacts with order human health, ecology systems, and natural resource. The LCAalso proved that EB could be a green and efficient method for eliminating pharmaceutical contaminants in water.
Tong Thi My Thi,Nguyen Ngoc Huy,이달희,박태윤 에너지기후변화교육학회 2020 에너지기후변화교육 Vol.10 No.1
Severe impacts of climate change on agriculture have stimulated the launch of many solutions to cope with climate change in agriculture. Improving climate communication is one of the most effective and widely-developed solutions. In this study, the climate communication channels for agricultural production in Lai Chau and Dien Bien were examined by assessing the level of accessibility to climate services, application of climatic information in agricultural production, and effectiveness of communication channels. Results provide insights into the selection of appropriate channels for effective direct and indirect communication between climate service providers, farmers, and relevant stake holders. At present, village heads and television (VTV1 news) are the two most popular and trusted climate communication channels in Lai Chau and Dien Bien, followed by extension workers and women’s union. Village heads enable information dissemination of both scientific knowledge and indigenous knowledge for practical farming. However, existing communication channels are one-way implemented, lacking a response mechanism and responding from recipients back to service providers.
Trong Luan NGUYEN,Ha Ai My NGUYEN,Pham Thao Nguyen LUU,Minh Anh LE,Thi Anh Thu NGUYEN,Ngoc Tram NGUYEN 한국유통과학회 2022 The Journal of Asian Finance, Economics and Busine Vol.9 No.5
As society evolves, people are making more of an effort to learn more about human aspects, one of which is emotional intelligence, a topic on which education experts have traditionally concentrated. This is due to the fact that emotional intelligence has a significant impact on how people think and manage their emotions. On the other side, it promotes the development of expressive ability and aids people in better adapting to life. This study explores the relationship between communication skills, leadership skills, stress management, adaptability, and emotional intelligence of FPT University students to determine the factors that affect students’ emotional intelligence. To survey 500 FPT University students, this study used a sample size of 500. Previous studies used a 5-point Likert scale to assess the four skill elements. According to the results, students who completed the survey showed adequate communication skills, leadership qualities, stress management, adaptability, and emotional intelligence. Emotional intelligence is influenced by communication skills, leadership abilities, stress management, and flexibility. This suggests that students who master these four skills have higher levels of emotional intelligence. The outcomes of this study reveal that students have been conscious of Emotional Intelligence since a young age. The affirmations in this research paper will benefit students and young people interested in enhancing complimentary soft skills that boost Emotional Intelligence.
ROBUST TRAFFIC LIGHT DETECTION AND CLASSIFICATION UNDER DAY AND NIGHT CONDITIONS
Phuc Manh Nguyen,Vu Cong Nguyen,Son Ngoc Nguyen,Linh My Thi Dang,Ha Xuan Nguyen,Vinh Dinh Nguyen 제어로봇시스템학회 2020 제어로봇시스템학회 국제학술대회 논문집 Vol.2020 No.10
Recently, traffic light detection and classification systems have been studied and developed to build an autonomous car by many research institutes, universities, and companies. However, the results of existing traffic light detection systems are still not stable under day and night conditions. It is difficult to detect the location of traffic light due to their small size. Moreover, traffic lights’ shapes are also similar to advertisement lights in a city road. Therefore, this paper proposed a new approach to improve the performance of existing traffic light detection systems by using the benefits of hand-crafted features and deep learning techniques. Experimental results show that the proposed system obtained the detection rate of 80% under night conditions, while the color-based density method only got the detection rate of 50.43% under night conditions.
My-Linh Thi Nguyen,Toan Ngoc Bui 대한산업공학회 2021 Industrial Engineeering & Management Systems Vol.20 No.3
This paper investigates the impact of the macroeconomy on Vietnam real estate market (REM). The research data were collected by the authors on a quarterly basis, from the third quarter of 2004 to the last counterpart of 2020. The authors utilize the Autoregressive Distributed Lag (ARDL) approach. The results reveal that REM is negatively influenced by the macroeconomy (interest rate and global crisis) in the short run and long run. This result is completely consistent with the wealth effect theory, the Austrian Business Cycle Theory (ABC), as well as the Arbitrage Pricing Theory (APT). However, the findings in this paper are valuable empirical evidence on the impact of the macroeconomy on REM in Vietnam, a developing country with relatively nascent REM. In particular, this study has achieved novelty compared to previous studies by finding the negative impact of the global crisis on REM, where the global crisis is defined to include the global financial crisis and the Coronavirus (COVID-19) pandemic crisis. Based on this, Vietnam needs to operate macroeconomic policies flexibly and in accordance with each period in order to develop REM in a stable and sustainable manner.