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Nguyen Ngoc Duy Phuong,Mai Ngoc Khuong,Le Huu Phuc,Le Nguyen Thanh Dong 한국유통과학회 2017 KODISA ICBE (International Conference on Business Vol.2017 No.-
The purpose of this study was to examine the effect of two-dimensional factor of motivators and hygiene on civil servants’ job satisfaction by the partial least square structural equation modeling (PLS-SEM) as a technique employed to analyze the measurement and structural models. This study used a survey instrument that consists of 2 sections. To ensure content validity, the survey items were derived from those used in previous studies. Each item was measured using a 5-point Likert scale. Exploratory study was identified to evaluate the relationship among variables. By using multistage stratified sampling, statistical data was collected from a survey of 441 public municipal civil servants who have employed in various levels (municipal government, districts and communes) in Vietnam. The findings provided evidence that hygiene factors (relationship with leader, salary, relationship with coworker and working environment) directly impact on civil servants’ job satisfaction. Meanwhile, only career development factor from motivators significantly influenced on public employee’s job satisfaction. The theoretical and practical significances of the study were discussed and public policy implications were suggested to the provincial government.
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Nguyen Ngoc Duy Phuong,Mai Ngoc Khuong,Le Huu Phuc,Le Nguyen Thanh Dong 한국유통과학회 2018 The Journal of Asian Finance, Economics and Busine Vol.5 No.3
The purpose of this study was to examine the effect of two-dimensional factor of motivators and hygiene on civil servants’ job satisfaction using the partial least square structural equation modeling (PLS-SEM) as a technique employed to analyze the measurement and structural models. Exploratory study was deployed to evaluate the relationship among variables. By using multistage stratified sampling, statistical data was collected from a survey of 441 public municipal civil servants who have employed in various levels (municipal government, districts and communes) in Vietnam. The findings provided evidence that hygiene factors (relationship with leader, salary, relationship with coworker and working environment) directly impact on civil servants’ job satisfaction. Meanwhile, only career development factor from motivators significantly influenced on public employee’s job satisfaction. Based on the empirical results, the hygiene factors of job satisfaction are more dominated that the motivators one. This finding suggests that municipal governments should focus policies on improving the hygiene factors which lead to higher job satisfaction on civil servants. Gaining a thorough understanding of the determinants of job satisfaction toward municipal public servants will enable policy makers to grasp the factors that results in retaining employees. Finally, the policy makers can use this knowledge to promote civil servants’ job satisfaction.
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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.
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Hoan Minh Tran,Tam Huu Nguyen,Viet Quoc Nguyen,Phuc Huynh Tran,Linh Duy Thai,Thuy Thu Truong,Le-Thu T. Nguyen,Ha Tran Nguyen 한국고분자학회 2019 Macromolecular Research Vol.27 No.1
The photoswitching poly(pyrene-1-ylmethyl-methacrylate-random-methyl methacrylate-random-methacrylate spirooxazine) was synthesized via atom transfer radical polymerization and characterized by proton nuclear magnetic resonance (1H NMR), gel permeation chromatography (GPC), Fourier transform infrared (FTIR) spectroscopy, UV-visible spectroscopy, and differential scanning calorimetry (DSC). The obtained copolymer exhibited the capability of erasable and rewritable photoimaging, making it a potential candidate for optical data storage materials. Moreover, the copolymer also showed the sensing ability for cyanide anions effect in aqueous solutions.
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