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      • An Introduction to Immigration Laws of Vietnam

        Ngo,Huy Cuong 한국입법정책학회 2010 입법정책 Vol.4 No.2

        베트남이 통일된 지 36년이 지났다. 통일 당시 해외로 도피했던 교민들이 이제는 해외에서 형성한 부를 모국 베트남의 국가건설 에 투자하면서 자신의 정체성을 찾고자 한다. 2010년 현재 베트남 의 해외교민 4백30만 명 중 약 3백만 명 이상이 북미에 거주하고 있다. 이들은 베트남 전쟁 후 이주한 세대와 그 자손들이 대부분 인데, 베트남 정부는 해외교민을 ‘과거에 집착해서 큰 것을 놓치 면 안 된다’는 철저한 실용주의 원칙으로 대하고 있다. 베트남 부 는 민족이라는 기치아래 국가발전을 위한 베트남인의 대단결을 호소하고 있으며 해외교민의 국내 투자와 국내귀국을 독려하고 있다. 베트남정부는 베트남을 출입국 및 통과하는 외국인들에게 최상 의 환경을 제공하며; 베트남 법률과 베트남이 국제조약에 맺은 규 정에 의하여 베트남에 거주하는 외국인의 생명, 재산, 권리 및 기 타의 이익을 보호하도록 규정하고 있다. 베트남에 출입국, 통과, 거주하는 외국인은 베트남의 전통, 풍습, 습관 및 베트남의 법을 준수하고 존중해야 한다. 베트남의 출입국, 통과, 거주가 법률위반 을 위한 목적으로 이용되는 것을 엄격히 금하고 있으며 외국인 출입국, 통과, 거 주에 관하여 베트남이 국제조약에서 맺은 규정과 이 법령 규정사이에 차이가 있다면 국제협정규정이 우선하도록 하고 있다. 외국인은 신고한 입국목적과 맞게 외국인 왕래금지 구역을 제 외하고 베트남 영토 내에 자유스럽게 다닐 수 있다. 금지구역에 출입하려면 금지구역을 관리하는 정부심사기관의 허가를 받아야 한다. 또한 장기체류 외국인은 공안부 출입국관리기관에서 장기체 류증을 발급 받는다. 이 장기체류증을 소지한 자는 베트남 출입국 시 비자가 면제된다.

      • KCI등재

        The Influence of Organizational Culture on Employees’ Satisfaction and Commitment in SMEs: A Case Study in Vietnam

        Thuy Dung PHAM THI1,Anh Tin NGO2,Nam Tien DUONG3,Van Kien PHAM4 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.5

        The purpose of this study is to evaluate the impact of organizational culture on job satisfaction and organizational commitment among employees in small and medium-sized enterprises in Ho Chi Minh City, Vietnam. The study hypothesized that organizational culture has a significant influence on employees’ satisfaction and that satisfaction also significantly impactsorganizational commitment among employees. The data are collected from a sample of 240 office employees. Structural Equation Modeling is used to determine the influence of organizational culture dimensions,including open working environment, salary, and rewards, empowerment, management style, corporate values, on employees’ satisfaction and organizational commitment. The findings showed that the five dimensions of organizational culture positively impact employees’ satisfaction and that job satisfaction significantly influences organizational commitment. Thus, job satisfaction serves as the bridge between organizational culture and commitment. The current study contributes to providing a practical insight into the relationships between organizational culture, employees’ job satisfaction, and organizational commitment. Based on that, managers can develop suitable personnel policies for their organizations to simultaneously enhance employees’ performance and satisfaction, which makes them stay with the company.

      • KCI등재

        The Role of Non-Governmental Organizations in the Climate Change Response Policies in Ho Chi Minh City, Vietnam

        Ngo Hoai Son,김판석 한국외국어대학교 동남아연구소 2023 東南亞硏究 Vol.33 No.2

        NGOs play a crucial role in climate change response strategies in Vietnam through their involvement in policymaking. This study reviews the areas of NGO engagement in climate change policies in the context of Ho Chi Minh City, and presents suggestions for improving their participation. Based on the theory of climate services, it employed a content analysis technique using NVivo 11 software to examine the participation of 30 registered NGOs. The results indicate that engagement in climate change response policies is comparable to that reported in other studies on the same topic. NGO participation in the implementation of climate change response policies focuses primarily on policy lobbying, community capacity building, research and consultation, and livelihood development. NGOs have played a crucial role in assisting and supporting the most severely affected communities by helping people consolidate and enhance their capacity to adjust to the effects of climate change through adaptation measures, disaster preparedness, and capacity building.

      • Determination of the sample number for optical reflectance measurement of vegetable leaf

        Ngo, V.D.,Chung, S.O.,Park, S.U.,Kim, S.J.,Park, J.T.,Kim, Y.J. Elsevier 2015 Computers and electronics in agriculture Vol.112 No.-

        Visible and near-infrared spectroscopy provides a variety of information regarding leafy vegetables. However, various factors including optical propagation, environmental issues, and experimental issues affect the quality of spectral measurements. Therefore, stability and performance of optical reflectance sensors are affected significantly by sampling scheme. This study investigated the effects of the number of sampling on optical reflectance measurement of Chinese cabbage and kale plant leaves. For that purpose, variability and similarity of multiple measurements for different number of sampling of the leaves were evaluated. A combination of a median filter and the 2nd Savitzky-Golay (S. Golay) method was used to reduce the noise on the reflectance spectra introduced by background effects and other uncertainties. Reflectance difference and cross correlation were used as criteria to evaluate stability (or similarity) of the measurements. Results indicated that the standard deviation of reflectance difference was not considerably different for cabbage and kale leaves with 12 and 9 sampling points, respectively. For similarity of multiple measurements, results of cross correlation showed that the standard deviation of cross correlation was not greater than 5% with 12 and 9 sampling points for cabbage and kale leaves, respectively. Thus, this study concluded that 12 sampling points (cabbage) and 9 sampling points (kale) on a single leaf were the optimal number for spectral reflectance measurement. This study may provide guidelines on the number of sampling for optimum reflectance measurement of leafy vegetables.

      • Multi-level deep neural network for efficient segmentation of blood vessels in fundus images

        Ngo, L.,Han, J.-H. IET 2017 Electronics letters Vol.53 No.16

        <P>The exact blood vessel trees segmented from fundus images provide important information required for screening and following-up of diabetic retinopathy and age-related macular degeneration. The trained deep neural network presents an automated prediction of the blood vessels in retinal fundus camera images in the publicly DRIVE database with accuracy up to 0.9533 and area under the receiver operating characteristic curve up to 0.9752, which is better than manual recognition by expert human eyes. A resizing technique is introduced and applied to the multi-level network combining dropout and spatialdropout layers to obtain more generalised training. The proposed model has the potential for the classification of other types of images.</P>

      • SCISCIESCOPUS
      • SCIESCOPUS

        Loading rate effect on crack velocity in ultra-high-performance fiber-reinforced concrete

        Ngo, Tri Thuong,Park, Jun Kil,Kim, Dong Joo Elsevier 2019 Construction and Building Materials Vol.197 No.-

        <P><B>Abstract</B></P> <P>Loading rate effect on crack propagation in ultra-high-performance fiber-reinforced concrete (UHPFRCs) was investigated using a pre-notched three-point bending specimen in an improved-strain energy frame impact machine (I-SEFIM) and image processing techniques. The crack velocity of up to 984 m/s and the crack initiation strain rate of up to 271 s<SUP>−1</SUP> were observed. Crack velocity in UHPFRCs increased as the applied strain rate increased. Fiber reinforcements significantly affected on the crack velocity in the UHPFRC at static rates, but slightly did at high strain rates. There is a strong correlation between the strain-rate sensitivity and the dynamic crack growth characteristics of UHPFRCs.</P> <P><B>Highlights</B></P> <P> <UL> <LI> The crack initiation and velocity at high speed were successfully tested by using the modified I-SEFIM. </LI> <LI> The crack velocity increased as the applied strain rate increased. </LI> <LI> The fiber reinforcement significantly affected on the crack velocity in the UHPFRCs at static rates, but it slightly did at high strain rates. </LI> <LI> The strain-rate sensitivity of UHPFRC is strongly correlated with the dynamic crack growth mechanism. </LI> </UL> </P>

      • KCI등재

        Short-term Load Forecasting of Buildings based on Artificial Neural Network and Clustering Technique

        Ngo, Minh-Duc,Yun, Sang-Yun,Choi, Joon-Ho,Ahn, Seon-Ju Institute of Korean Electrical and Electronics Eng 2018 전기전자학회논문지 Vol.22 No.3

        Recently, microgrid (MG) has been proposed as one of the most critical solutions for various energy problems. For the optimal and economic operation of MGs, it is very important to forecast the load profile. However, it is not easy to predict the load accurately since the load in a MG is small and highly variable. In this paper, we propose an artificial neural network (ANN) based method to predict the energy use in campus buildings in short-term time series from one hour up to one week. The proposed method analyzes and extracts the features from the historical data of load and temperature to generate the prediction of future energy consumption in the building based on sparsified K-means. To evaluate the performance of the proposed approach, historical load data in hourly resolution collected from the campus buildings were used. The experimental results show that the proposed approach outperforms the conventional forecasting methods.

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