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Pham Minh Nam,Ha Duy Hung,Tran Trung Duy,Le-Tien Thuong 한국통신학회 2023 ICT Express Vol.9 No.1
This paper evaluates outage probability (OP) and intercept probability (IP) of physical-layer security based MIMO networks adopting cooperative jamming (Coop-Jam). In the considered scenario, a multi-antenna source communicates with a multi-antenna destination employing transmit antenna selection (TAS)/ selection combining (SC), in presence of a multi-antenna eavesdropper using SC. One of jammers appearing near the destination is selected for generating jamming noises on the eavesdropper. Moreover, the destination supports the wireless energy for the chosen jammer, and cooperates with it to remove the jamming noises. We consider two jammer selection approaches, named RAND and SHORT. In RAND, the destination randomly selects the jammer, and in SHORT, the jammer, which is nearest to the destination, is chosen. We derive exact and asymptotic expressions of OP and IP over Rayleigh fading, and perform Monte-Carlo simulations to verify the correction of our derivation. The results present advantages of the proposed RAND and SHORT methods, as compared with the corresponding one without using Coop-Jam.
A Statistical Data-Filtering Method Proposed for Short-Term Load Forecasting Models
Duong Minh Bui,Phuc Duy Le,Tien Minh Cao,Hung Nguyen,Trang Thi Pham,Duy Anh Pham 대한전기학회 2020 Journal of Electrical Engineering & Technology Vol.15 No.5
Reliability assessment of the SCADA-system based load data is necessary for improving accuracy of short-term load forecasting (STLF) methods in a distribution network (DN). Specifi cally, the reliability evaluation of the load data is to properly eliminate noise/outliers caused by random power consumption behaviors or the sudden change in load demand from industrial and residential customers in the DN. Thus, this paper proposes a novel statistical data-fi ltering method, working at an input data pre-processing stage, which will evaluate the reliability of input load data by analyzing all possible data confi dence levels in order to fi lter-out the noise/outliers for accuracy improvement of diff erent short-term load forecasting models. The proposed statistical data-fi ltering method is also compared to other existing data-fi ltering methods (such as Kalman Filter, Density-Based Spatial Clustering of Applications with Noise (DBSCAN), Discrete Wavelet Transform (DWT) and Singular Spectrum Analysis (SSA)). Moreover, several case studies of short-term load forecasting for a typical 22 kV distribution network in Vietnam are conducted with an Artifi cial Neural Network (ANN) model, a Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) model, a combined model of Long Short-Term Memory Network and Convolutional Neural Network (LSTM-CNN), and a conventional Autoregressive Integrated Moving Average (ARIMA) model to validate the statistical data-fi ltering method proposed. The achieved results demonstrate which the STLF using ANN, LSTM-RNN, LSTMCNN, and ARIMA models with the statistical data-fi ltering method can all outperform those with the existing data-fi ltering methods. Additionally, the numerical results also indicate that in case the SCADA-based load data is normally distributed, time-series forecasting models should be more preferred than neural network models; otherwise, when the SCADA-based load data contains multiple normally distributed sub-datasets, neural network-based prediction models are highly recommended.
Distribution of Factors Affecting Foreign Direct Investment in ASEAN Countries
Anh Thi Lan NGUYEN(Anh Thi Lan NGUYEN ),Chau Thi Minh PHAM(Chau Thi Minh PHAM ),Hanh Hong NGUYEN(Hanh Hong NGUYEN ),Dat Ngoc NGUYEN(Dat Ngoc NGUYEN ),Duy Van NGUYEN(Duy Van NGUYEN ) 한국유통과학회 2023 유통과학연구 Vol.21 No.2
Purpose: Research on attracting foreign direct investment plays an important role in ASEAN countries. ASEAN has needed FDI capital for development and integration with many developing countries. Research design, data and methodology: This study is conducted to assess the impact of factors: inflation (INF), economic growth (GDP), population (POP), and trade (TRADE) on attracting foreign direct investment (FDI) of ASEAN countries. The study will find out how factors distribution contributes to FDI attraction. The study collects data from 10 ASEAN countries from 2010 to 2020. With data collected for ten countries from 2010 to 2020, data analysis with panel data will be used in this study. The Regression with Driscoll-Kraay standard errors correction model will be used in the study. Results: Panel data analysis shows that economic growth and population positively impact FDI attraction in ASEAN countries. However, two factors: INF and TRADE, do not affect FDI. Conclusions: Countries need to focus on economic development, create many good conditions for people and domestic enterprises and create opportunities for foreign investors to pay more attention. improving the quality of domestic human resources will help to better improve the working quality factor when the demand for high-quality human resources increases.
Line Impedance Estimation Based Adaptive Droop Control Method for Parallel Inverters
Phuong Minh Le,Xuan Hoa Thi Pham,Huy Minh Nguyen,Duc Duy Vo Hoang,Tuyen Dinh Nguyen,Dieu Ngoc Vo 전력전자학회 2018 JOURNAL OF POWER ELECTRONICS Vol.18 No.1
This paper presents a new load sharing control for use between paralleled three-phase inverters in an islanded microgrid based on the online line impedance estimation by the use of a Kalman filter. In this study, the mismatch of power sharing when the line impedance changes due to temperature, frequency, significant differences in line parameters and the requirements of the Plug-and-Play mode for inverters connected to a microgrid has been solved. In addition, this paper also presents a new droop control method working with the line impedance that is different from the traditional droop algorithm when the line impedance is assumed to be pure resistance or pure inductance. In this paper, the line impedance estimation for parallel inverters uses the minimum square method combined with a Kalman filter. In addition, the secondary control loops are designed to restore the voltage amplitude and frequency of a microgrid by using a combined nominal value SOGI-PLL with a generalized integral block and phase lock loop to monitor the exact voltage magnitude and frequency phase at the PCC. A control model has been simulated in Matlab/Simulink with three voltage source inverters connected in parallel for different ratios of power sharing. The simulation results demonstrate the accuracy of the proposed control method.
이병관,PHAM MINH DUY,신재욱,CUI MEIYAN,이혜인,명지상,나해영,전창후 한국원예학회 2022 원예과학기술지 Vol.40 No.6
To overcome high mid-summer air temperatures in South Korea, the effects of two root-zone cooling (RZC) methods on the leaf photosynthesis and growth of paprika transplants were investigated using a growth chamber. Paprika (Capsicum annuum L. cv. Scirocco) transplants grown in 20-cm pots filled with coir under a 14 h·d-1 photoperiod (from 5 am to 7 pm) were exposed to an air temperature of 39°C during the heating period (HP) from 11 am to 4 pm every day for 28 days. During the HP, the plants were irrigated with a chilled nutrient solution (15°C) for 3 min every hour as a nutrient solution cooling (NSC) treatment and chilled water (15°C) was circulated through the silicone pipes coiled around the root zones in a water circulation cooling (WCC) treatment. No cooling was provided for the No-cooling treatment. Root-zone medium temperatures in the NSC and WCC during HP decreased by 4°C and 8°C, respectively, compared to the No-cooling treatment. Twenty-eight days after the treatment, the root dry weight was 10-20% greater in RZCs compared to the No-cooling treatment, the root dry weight distribution was greatest, and the electrolyte leakage was lowest in the NSC. Leaf photosynthesis in both RZCs was 30% greater than in the No-cooling from a photosynthetic photon flux density of 250 µmol·m-2·s-1 during HP. The findings here indicate that NSC is more efficient than WCC and that it can alleviate the adverse effects of a high air temperature. Hence, it can be applied to improve paprika transplant production in greenhouses during the summer.
UV-B supplementation to mitigate intumescence injury of tomato seedlings
명지상,PHAM MINH DUY,황현승,Lee Byungkwan,Lee Hyein,CUI MEIYAN,신재욱,전창후 한국원예학회 2023 Horticulture, Environment, and Biotechnology Vol.64 No.6
Intumescence occurs on the leaves and stems of tomato ( Solanum lycopersicum Mill.) seedlings grown under ultraviolet (UV) defi cient light environments, such as in a plant factory with artifi cial lighting (PFAL). Supplemental UV-B allevi ates intumescence incidence and modulates plants mophology and photomorphogenic responses. UV-B supplementation is required to suppress intumescence injury and determine the morphological and growth responses for each tomato cultivar cultivated in PFAL. ‘Doterang Dia’ and ‘B-blocking’, which were cultivars used as scion and rootstock, were grown in a PFAL with white light emitting diodes (LEDs) at a light intensity of 180 μmol m −2 s −1 for 16 h d −1 , an air temperature of 25/20 o C and a relative humidity of 70/90% (photo/dark periods) for 21 days. UV-B light was supplemented to each cultivar at 0 (Control), 0.05, 0.10, or 0.15 W m −2 for 3 h per day. The intumescence incidence rate was measured by the percentage of intumescent leafl ets for all leafl ets. The intumescence incidence of ‘B-blocking’ decreased signifi cantly under UV-B radiation. The incidence rate was lower than 1% under supplemental UV-B radiation with an intensity of 0.1 W m −2 and 0.15 W m −2 . The stem length, leaf area, and dry weights of shoots and roots were greater at UV-B intensities of 0.05 and 0.1 W m −2 than those in control and decreased at 0.15 W m −2 to the same level as the control. In comparison to ‘B-blocking’, intumescence incidence rates for ‘Doterang Dia’ showed low values, but it also showed a decreasing tendency with supplemental UV-B light similar to that of ‘B-blocking’. The stem lengths of ‘Doterang Dia’ were greater at a UV-B intensity of 0.05 W m −2 than those in control and decreased with higher UV-B radiation. The result suggests that supplementing of the small range of UV-B radiation can reduce the intumescence incidence while modulating growth promotion in tomato seedlings. The diff erent cultivar-specifi c responses to UV-B light between scion and rootstock cultivars could be due to the genetic diff erences among their major breeding resources developed from other areas with diff erent levels of UV-B radiation.
( Dien Minh Vu ),( Binh Hoa Pham ),( Duc Pham Xuan ),( Dung Nguyen Dinh ),( Vinh Nguyen Duy ) 한국공업화학회 2023 공업화학 Vol.34 No.3
Fuel cells are one of the renewable energy sources that have sparked a lot of scientific attention for solving problems related to the energy crisis and environmental pollution. One of the most crucial subjects concerning the utilization of fuel cells is modeling. Therefore, an analytical steady-state and dynamic fuel cell model was described in this study. The parameter for the identification process was investigated, and the MATLAB/Simulink implementation was demonstrated. A 15-W proton exchange membrane fuel cell was used to apply the suggested modeling methodology. Comparing experimental and simulation findings indicated that the model error was constrained to 3%. This study showed that temperature and humidity affect fuel cell performance.