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Quang Vang DANG(Quang Vang DANG ),Viet Thanh Truc TRAN(Viet Thanh Truc TRAN ),Hieu PHAM(Hieu PHAM ),Van Nam MAI(Van Nam MAI ),Quoc Duy VUONG(Quoc Duy VUONG ) 한국유통과학회 2023 The Journal of Asian Finance, Economics and Busine Vol.10 No.2
This paper investigates the determinants of credit accessibility and the effect of credit on the income of farm households borrowing from Vietnam Bank for Agriculture and Rural Development, Giong Rieng District Branch, Kien Giang Province. Based on the primary data of 200 farming households who are the customer of the bank, the study applied the Probit regression model to examine determinant factors of credit accessibility of farm households and employed the Propensity score matching method to investigate the impact of credit on households’ income. The findings of the Probit regression shown that three independent variables that significantly influence the access to credit of households are household size, income source, and farm size. Besides that, the Propensity score matching method results showed a difference of 23.799 million VND/year between the income of borrowing households and that of non-borrowing households at the significance level of 1%. The difference in the imcome from the interval and central matching methods are VND 24.700 million VND/year and VND 24.633 million VND/year, respectively. Given empirical findings suggetsted that several recommendations to increase the credit accessibility of farm households, thereby creating favorable conditions for improving their income.
Predicting Financial Distress Distribution of Companies
Giang Huong VU(Giang Huong VU ),Chi Thi Kim NGUYEN(Chi Thi Kim NGUYEN ),Dang Van PHAM(Dang Van PHAM ),Diu Thi Phuong TRAN(Diu Thi Phuong TRAN ),Toan Duc VU(Toan Duc VU ) 한국유통과학회 2022 유통과학연구 Vol.20 No.10
Purpose: Predicting the financial distress distribution of an enterprise is important to warn enterprises about their future. Predicting the possibility of financial distress helps companies have action plans to avoid the possibility of bankruptcy. In this study, the author conducted a forecast of the financial distress distribution of enterprises. Research design, data and methodology: The forecasting method is based on Logit and Discriminant analysis models. The data was collected from companies listed on Vietnam Stock Exchange from 2012 to 2020. In which there are both companies suffer from financial distress and non-financial distress. Results: The forecast analysis results show that the Logistic model has better predictability than the Discriminant analysis model. At the same time, the results also indicate three main factors affecting the financial distress of enterprises at all three research stages: (1) Liquidity, (2) Interest payment, and (3) firm size. In addition, at each stage, the impact of factors on financial distress differs. Conclusions: From the results of this study, the author also made several recommendations to help companies better control company operations to avoid falling into financial distress. Adjustments to current assets, debt, and company expansion considerations are the most important factors for companies.
Pham, Khoa-Dang,Nguyen, Nho-Van The Korean Institute of Power Electronics 2019 JOURNAL OF POWER ELECTRONICS Vol.19 No.3
This paper presents a pulse-width modulation strategy to eliminate the common mode voltage (CMV) with reduced CMV spikes in multilevel inverters since a high CMV magnitude and its fast variations dv/dt result in bearing failure of motors, overvoltage at motor terminals, and electromagnetic interference (EMI). The proposed method only utilizes the zero CMV states in a space vector diagram and it is implemented by a carrier-based pulse-width modulation (CBPWM) method. This method is generalized for odd number levels of inverters including neutral-point-clamped (NPC) and cascaded H-bridge inverters. Then it is extended to the over-modulation mode. The over-modulation mode is implemented by using the two-limit trajectory principle to maintain linear control and to avoid look-up tables. Even though the CMV is eliminated, CMV spikes that can cause EMI and bearing current problems still exist due to the deadtime effect. As a result, the deadtime effect is analyzed. By taking the deadtime effect into consideration, the proposed method is capable of reducing CMV spikes. Simulation and experimental results verify the effectiveness of the proposed strategy.
A Study on Bandwidth and Buffer Management Mechanisms of IP Networks
Hoang Dang Hai,Pham Van Thuong,You-Sik Hong 한국인터넷방송통신학회 2010 한국인터넷방송통신학회 논문지 Vol.10 No.2
대역폭 및 버퍼는 엔드-투-엔드 품질 서비스를 결정하기위한 중요한 네트워크 리소스이다. 본 논문에서는 대역폭과 버퍼 관리에 관한 몇 가지 기법에 대해 조사 및 TCP / IP 네트워크의 처리량을 제어에 사용되는 유형에 따라 분류 하고자 한다. 뿐만 아니라, 본 논문에서는 모델링 활성 대역폭을 위한 새로운 접근법을 제시 및 TCP / IP용 네트워크에 대한 버퍼의 제어 메커니즘에 대한 새로운 접근법을 제시한다. Bandwidth and Buffer are critical network resources to determine the end-to-end quality of service. In this paper, we investigate several techniques on bandwidth and buffer management and classify them according to the types they used for controlling the throughput of a TCP/IP network. Moreover, in this paper, it present a new approach for modeling the active bandwidth and buffer control mechanisms for TCP/IP networks.
Khoa-Dang Pham,Nho-Van Nguyen 전력전자학회 2019 JOURNAL OF POWER ELECTRONICS Vol.19 No.3
This paper presents a pulse-width modulation strategy to eliminate the common mode voltage (CMV) with reduced CMV spikes in multilevel inverters since a high CMV magnitude and its fast variations dv/dt result in bearing failure of motors, overvoltage at motor terminals, and electromagnetic interference (EMI). The proposed method only utilizes the zero CMV states in a space vector diagram and it is implemented by a carrier-based pulse-width modulation (CBPWM) method. This method is generalized for odd number levels of inverters including neutral-point-clamped (NPC) and cascaded H-bridge inverters. Then it is extended to the over-modulation mode. The over-modulation mode is implemented by using the two-limit trajectory principle to maintain linear control and to avoid look-up tables. Even though the CMV is eliminated, CMV spikes that can cause EMI and bearing current problems still exist due to the deadtime effect. As a result, the deadtime effect is analyzed. By taking the deadtime effect into consideration, the proposed method is capable of reducing CMV spikes. Simulation and experimental results verify the effectiveness of the proposed strategy.
Dinh Van Tuan,Dang Thi Thuy Ngan,Dao Vu Phuong Thao,Nguyen Thi Nguyet,Nguyen Thi Thuy,Nguyen Phuong Thuy,Vu Van Thu,Vuong-Pham Hung,Phuong Dinh Tam 한국물리학회 2022 Current Applied Physics Vol.43 No.-
A facile hydrothermal route was used to synthesize silver nanoparticle (AgNP)-decorated microflower molybdenum disulfide (MoS2-MF) for bio-electrochemical platform fabrication to detect nonenzymatic glucose concentration. The morphologies of the materials were studied by scanning electron microscopy, and their structural characteristics were analyzed by X-ray diffractometry and energy-dispersive X-ray spectroscopy. The electrochemical characteristics of the AgNPs/MoS2-MF/PtE biosensor were studied by cyclic voltammetry. The obtained data indicated that the developed nonenzymatic glucose sensor has a large linear response between 1.0 and 15.0 mM, a limit of detection of as low as 1.0 mM, and a sensitivity of 46.5 μA nM-1 cm-2. The biosensor also displayed outstanding selectivity, stability, reproducibility, and repeatability. Additionally, the AgNPs/MoS2-MF/ PtE biosensor was utilized to detect glucose concentration in real sample and showed practical application potential for glucose detection.
Effect of nanostructured MoS2 morphology on the glucose sensing of electrochemical biosensors
Dinh Van Tuan,Dang Thi Thuy Ngan,Nguyen Thi Thuy,Hoang Lan,Nguyen Thi Nguyet,Vu Van Thu,Vuong-Pham Hung,Phuong Dinh Tam 한국물리학회 2020 Current Applied Physics Vol.20 No.9
In this study, the effects of the morphological characteristics of MoS2 nanomaterials on the glucose sensing of electrochemical biosensors were explored. Nanostructured MoS2 materials, including nanoparticles (NPs), nanoflowers (NFs), and nanoplatelets (NPLs), were prepared via a simple hydrothermal method. The structure and morphological characteristics of MoS2 nanomaterials were examined through X-ray diffraction, field emission scanning electron microscopy, and Raman spectroscopy. Electrochemical properties were analyzed through cyclic voltammetry. Results showed that the obtained sensitivity was 64, 68.7, and 77.6 μAmM 1 cm 2 for MoS2 NP-, MoS2 NF-, and MoS2 NPL-based biosensors, respectively. The limit of detection (LOD) of all MoS2-based glucose biosensors was 0.081 mM. In addition, the pH, temperature, glucose oxidase (GOx) concentration, reproducibility, specificity, and stability of glucose biosensors with different MoS2 morphologies were also investigated and indicated the oxidation current response of the MoS2 NPL-based glucose biosensor was higher than that of MoS2 NF- and NP-based biosensors.