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Hoang Anh Nguyen,Thi Nam Pham,Le Thanh Nguyen Huynh,Tran Ha Trang Nguyen,Viet Hai Le,Nguyen Thai Hoang,Thi Thom Nguyen,Thi Thu Trang Nguyen,Dai Lam Tran,Thi Mai Thanh Dinh The Korean Electrochemical Society 2024 Journal of electrochemical science and technology Vol.15 No.2
Due to its high theoretical capacity, Silicon (Si) has shown great potential as an anode material for lithium-ion batteries (LIBs). However, the large volume change of Si during cycling leads to poor cycling stability and low Coulombic efficiency. In this study, we synthesized Si/Carbon C45:Graphene composites using a ball-milling method with a fixed Si content (20%) and investigated the influence of the C45/Gr ratio on the electrochemical performance of the composites. The results showed that carbon C45 networks can provide good conductivity, but tend to break at Si locations, resulting in poor conductivity. However, the addition of graphene helps to reconnect the broken C45 networks, improving the conductivity of the composite. Moreover, the C45 can also act as a protective coating around Si particles, reducing the volume expansion of Si during charging/discharging cycles. The Si/C45:Gr (70:10 wt%) composite exhibits improved electrochemical performance with high capacity (~1660 mAh g<sup>-1</sup> at 0.1 C) and cycling stability (~1370 mAh g<sup>-1</sup> after 100 cycles). This work highlights the effective role of carbon C45 and graphene in Si/C composites for enhancing the performance of Si-based anode materials for LIBs.
The Factors Affecting Corporate Income Tax Non-Compliance: A Case Study in Vietnam
NGUYEN, Loan Thi,NGUYEN, Anh Hong Viet,LE, Hac Dinh,LE, Anh Hoang,TRUONG, Tu Tuan Vu Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.8
In many countries, the Government enacts tax laws in order to manage tax collection and regulate the macro-economy. According to Noor, Jamaludin, Omar, and Aziz (2013), tax non-compliance is a growing concern because of its negative effects on the state budget. The main objectives of this article are to identify the factors affecting corporate income tax non-compliance of enterprises in Ho Chi Minh City in accordance with the current situation of Vietnamese tax administration. We use several research methods, including the exploitation of information and practical experiences from both taxpayers and tax authorities; with Probit regression model on a sample of 187 enterprises that have been inspected or examined by tax authorities in Vietnam during the period from 2013 to 2017.The article identified eight factors affecting corporate income tax (CIT) non-compliance: (1) working capital/total assets; (2) revenue/total assets; (3) total debt/total assets; (4) loss in the previous year; (5) receivables/revenue; (6) the size of enterprises; (7) tax administrative penalties/tax payable; and (8) business field. In particular, the tax non-compliance was studied as a violation of Vietnamese tax laws by enterprises declaring an insufficient amount of CIT payable to the State budget.
Walking Features Detection for Human Recognition
Viet, Nguyen Anh,Lee, Eung-Joo Korea Multimedia Society 2008 멀티미디어학회논문지 Vol.11 No.6
Human recognition on camera is an interesting topic in computer vision. While fingerprint and face recognition have been become common, gait is considered as a new biometric feature for distance recognition. In this paper, we propose a gait recognition algorithm based on the knee angle, 2 feet distance, walking velocity and head direction of a person who appear in camera view on one gait cycle. The background subtraction method firstly use for binary moving object extraction and then base on it we continue detect the leg region, head region and get gait features (leg angle, leg swing amplitude). Another feature, walking speed, also can be detected after a gait cycle finished. And then, we compute the errors between calculated features and stored features for recognition. This method gives good results when we performed testing using indoor and outdoor landscape in both lateral, oblique view.
Income Distribution and Factors Affecting the Bank’s Stability
Viet Xuan TRINH(Viet Xuan TRINH ),Du Kim DO(Du Kim DO),Anh Thi Lan NGUYEN(Anh Thi Lan NGUYEN ) 한국유통과학회 2022 유통과학연구 Vol.20 No.9
Purpose: Research on banking sustainability plays an important role in helping banks understand the level of risk in different types of companies. Therefore, this study was conducted to determine the factors affecting the sustainability of Joint Stock Commercial Banks in Vietnam. Research design, data and methodology: The following theories, the factors affecting the bank's sustainability include: Business model diversification (income diversification), bank size, loan ratio, and net interest margin. Data was collected from Joint Stock Commercial banks in Vietnam from 2015 to 2019. With GLS model on panel data with banks listed on Vietnam stock exchange. Results: The analysis results show that net interest income has a positive impact on the sustainable business results of banks through the rate of return on total assets (ROA). The non-interest income hasn’t impact on bank stability. From this result, there aren’t positive signs of income diversification in banks. At the same time, with the obtained results, the study also provides a policy implication for banks. Conclusions: The study also provides some policy implications to improve the bank stability. Diversifying income in banks is necessary, but how to make it influential banks has not yet been done. Therefore, the adjustments in non-interest business activities need to be carefully considered by banks.
HUMAN GAIT RECOGNITION BASED ON LEGS FEATURES
Nguyen Anh Viet,Boo-Yol Ok,Suk-Hwan Lee,Young-Yeol Choo,Eung-Joo Lee 한국멀티미디어학회 2007 한국멀티미디어학회 국제학술대회 Vol.2007 No.-
Gait, or the particular manner of walking, is one of the few biometrics can be measured at a distance and useful for passive surveillance well as biometric applications. In this paper, we propose a gait recognition algorithm based on the joint angle, leg swing amplitude and the speed of a person in one gait cycle. Once the binary moving object is obtained using background subtraction method, we continue extracting the leg region and get legs features (leg angle and leg swing amplitude each frame in video stream). When a gait cycle finished, we carry out calculate the walking speed. After had all of these features, we compute the errors between calculated features and stored features for recognition.
Container Dimension Detection and 3D Modeling Based on Stereo Vision
Anh Viet Nguyen,Young Yeol Choo,Eung Joo Lee 한국멀티미디어학회 2008 한국멀티미디어학회 국제학술대회 Vol.2008 No.-
Automation refers to using machines to perform tasks formerly done by human beings. Controling operations without human intervention are interesting challenge to all scientists. In this paper we propose a novel method for pickup container automatically in port. For dimension detecting and estimation the distance from crane to container in the real environment, we use stereo camera. From the left and right acquisition image of this camera, we use the combination of Hough Transform (HT) and Connected Component Labeling (CCL) for detecting line. After that, base on the parallel and perpendicular characteristics of container boundary, we remain only lines which can be used for rectangle forming module. From the candidate formed rectangle, we use color distribution on everyone for getting the target object. After having the object on both left and right images, we can estimate the distance from camera to object and container dimension. In experiment, we have god result in both video clip and real-time camera.