http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Thi Phuong Diu TRAN(Thi Phuong Diu TRAN ),Thi Van Khanh NGUYEN(Thi Van Khanh NGUYEN ),Thanh Quang DO3(Thanh Quang DO3 ),Cong Nghiep NGUYEN(Cong Nghiep NGUYEN ),Thu Thuy LUONG(Thu Thuy LUONG ) 한국유통과학회 2022 유통과학연구 Vol.20 No.10
Purpose: This article focuses on exploring the associations between job satisfaction, organizational commitment, and turnover intention. Specifically, this study estimates the impacts of Vietnamese employees’ job satisfaction on their organizational commitment and turnover intention in FDI enterprises. Research design, data and methodology: The measures are adapted from previous studies to develop a questionnaire with a seven-point Likert scale. The dataset is directly collected from 227 respondents who are employees at FDI enterprises situated in the North of Vietnam. The dataset is analyzed by quantitative approaches using SPSS 24.0 and AMOS 24.0. Results: The results show that while turnover intention is positively correlated with monthly income, it is negatively correlated with job satisfaction and organizational commitment. Also, organizational commitment is positively associated with job satisfaction among employees at FDI enterprises in Vietnam. Conclusions: The findings of this study will serve as useful references for administrators of FDI enterprises and policymakers to promote employees’ job satisfaction and retain skilled employees.
Thanh-Cong Do,양형정(Hyung Jeong Yang),Ngoc-Huynh Ho 한국스마트미디어학회 2021 스마트미디어저널 Vol.10 No.2
Sepsis is one of the leading causes of mortality globally, and it costs billions of dollars annually. However, treating septic patients is currently highly challenging, and more research is needed into a general treatment method for sepsis. Therefore, in this work, we propose a reinforcement learning method for learning the optimal treatment strategies for septic patients. We model the patient physiological time series data as the input for a deep recurrent Q-network that learns reliable treatment policies. We evaluate our model using an off-policy evaluation method, and the experimental results indicate that it outperforms the physicians’ policy, reducing patient mortality up to 3.04%. Thus, our model can be used as a tool to reduce patient mortality by supporting clinicians in making dynamic decisions.
Region of Interest Localization for Bone Age Estimation Using Whole-Body Bone Scintigraphy
Thanh-Cong Do,양형정(Hyung Jeong Yang),김수형(Soo Hyung Kim),이귀상(Guee Sang Lee),강세령(Sae Ryung Kang),민정준(Jung Joon Min) 한국스마트미디어학회 2021 스마트미디어저널 Vol.10 No.2
In the past decade, deep learning has been applied to various medical image analysis tasks. Skeletal bone age estimation is clinically important as it can help prevent age-related illness and pave the way for new anti-aging therapies. Recent research has applied deep learning techniques to the task of bone age assessment and achieved positive results. In this paper, we propose a bone age prediction method using a deep convolutional neural network. Specifically, we first train a classification model that automatically localizes the most discriminative region of an image and crops it from the original image. The regions of interest are then used as input for a regression model to estimate the age of the patient. The experiments are conducted on a whole-body scintigraphy dataset that was collected by Chonnam National University Hwasun Hospital. The experimental results illustrate the potential of our proposed method, which has a mean absolute error of 3.35 years. Our proposed framework can be used as a robust supporting tool for clinicians to prevent age-related diseases.
도탄공 ( Thanh-cong Do ),양형정 ( Hyung-jeong Yang ),김수형 ( Soo-hyung Kim ),고보건 ( Bo-gun Kho ) 사단법인 한국빅데이터서비스학회 2023 빅데이터서비스학회 논문집 Vol.1 No.1
병원 환경 내에서 환자 상태의 악화가 발생하면 의료 서비스에 상당한 부담이 된다. 이러한 경우 신속한 임상 개입이 중요하며 임상 수치로부터 조기 징후를 감지하고 심정지를 예방하기 위해 중환자실(ICU)은 신속 대응 시스템(RRS)을 광범위하게 사용한다. 최근 몇 년 동안 심정지, 패혈증 예측 또는 ICU로의 이송과 같은 집중 치료 영역에서 딥러닝(DL) 및 전자 건강 기록(EHR)의 사용이 증가하고 있다. DL 기반 애플리케이션은 순차 시계열 데이터에서 학습할 수 있지만 해석력이 부족하여 민감도가 낮고 지연 경보율이 높아 임상에 적용하기 어렵다. 본 연구에서는 고차원 순차 데이터를 보간하여 심정지 환자의 이상 상태를 감지하는 해석 가능한 end-to-end 딥러닝 아키텍처를 제안한다. 실험은 전남대학교 병원(CNUH)에서 수집한 개인 임상 데이터 세트에서 수행되었고 실험 결과는 다른 최첨단 방법과 비교하여 우리 모델의 잠재적 성능을 보여주었다. In hospitals globally, the occurrence of clinical deterioration within the hospital setting poses a significant burden on healthcare. Rapid clinical intervention becomes a crucial task in such cases. To detect early signs of clinical decline and prevent cardiac arrest, the intensive care units (ICUs) widely employ rapid response systems (RRSs). In recent years, there has been an increasing use of deep learning (DL) and electronic health records (EHR) in the intensive care domain, such as the prediction of cardiac arrest, sepsis, or transferring to ICUs. DL-based applications are able to learn from sequential time-series data. However, their lack of interpretability leads to low sensitivity and high late alarm rates, and are thus difficult to apply to the clinical settings. In this research, we propose an interpretable end-to-end deep learning architecture that interpolates high-dimensional sequential data and detects the abnormal status of cardiac arrest patients. The experiments are conducted on a private clinical dataset collected from Chonnam National University hospital (CNUH). The experimental results have shown the potential performance of our model, compared to some other state-of-the-art methods.
Nguyen Thanh-Nho,Thai Huynh-Thuc,Le-Thi Anh-Dao,Do Minh-Huy,Le-Thi Huynh-Mai,Le Quang-Huy,Nguyen-Thi Kim-Sinh,Nguyen Cong-Hau 한국분석과학회 2023 분석과학 Vol.36 No.5
Aluminium (Al) is one of the major elements in rocks and its concentration can be varied, depending on different rock types as well as sources. The present study aimed to propose an analytical method based on the UV-Vis as a cheap, simple, and common instrument equipped in most laboratories for Al quantification in rocks after the microwave assisted acid digestion. The aluminone and 8-hydroxyquinoline were investigated for the colorimetric assay. The results show that the 8-hydroxyquinoline reagent was more favorable in terms of the minimized affects of the potential interferences present in the digested solutions, i.e., Fe3+, Si4+ and F–. The calibration curve was constructed from 0.10 mg/L to 3.00 mg/L with the goodness of linearity (R2 = 0.9996). The limits of detection and quantification (LOD and LOQ) were estimated, i.e., 0.029 mg/L and 0.087 mg/L, respectively. The 8-hydroxyquinoline was applied to real rock samples, demonstrating favorable precision (RSD = 0.34 %-1.8 %) and no remarkable differences were found compared to the inductively coupled plasma-mass spectrometry (ICP-MS) as a reference measurement approach.
Van-Hoang Tran,Thanh-Huan Nguyen,Frédéric Plourde,Khanh-Duy Cong Do,Duy-Hung Chung,Cong-Truong Dinh,Gia-Diem Pham 한국유체기계학회 2023 International journal of fluid machinery and syste Vol.16 No.2
In order to increase turbine efficiency while retaining structural integrity, modern jet engines need an effective cooling system. Pin-fin arrays play a significant role in the internal cooling system of the turbine blade. In examining the efficacy of cooling techniques using pin-fins, the other papers focus on pin-fin configurations. In contrast, the current study is a step toward optimizing cooling cascade endwalls for better maneuvering and reservation of vortices, which leads to more considerable heat transfer near the endwalls. This study examines the flow field and heat transfer of roughed endwall in the pin-fin channel, including varieties with flat endwall and extruded endwall. The heat transfer of the channel and pressure drop properties of the extruded endwall case are quantitatively assessed to contrast with those of the flat endwalls scenario for an intake Reynolds number range of 7400 to 36000. The leading and trailing surfaces of the channel are divided into five streamwise regions to understand better how well the pin-fins and endwalls transmit heat. The results show that the new endwall construction significantly increases the high heat transfer zones around the pin-fins compared to the flat endwall scenario. In the meantime, the heat transfer of the channel to the pin-fins is enhanced by the modified endwall configuration. The redesigned endwall outperformed the basic case regarding the HTEI, rising by 15.9%. It is found that the friction factor of the new design is increased due to the narrowing channel. However, due to their much higher heat transfer capacity, the HTEI of extruded endwall is up to 41.5% higher than the HTEI of the channel with flat endwalls. These results demonstrate that the heat transfer properties of pin-fins can be significantly improved by optimizing endwall design.
Factors Affecting Employees' Organizational Commitment in Foreign Direct Investment Enterprises
NGUYEN, Thi Viet Nga,DO, Thanh Quang,DINH, Cong Hoang Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.10
This study aims to develop a research framework to investigate the factors affecting organizational commitment among employees who are working in Foreign Direct Investment (FDI) enterprises in Vietnam. The authors designed an online survey distributed to employees in FDI enterprises, collecting the data from 312 employees. All scales in this study are adopted from previous studies; tools employed include Cronbach's Alpha, Exploratory Factor Analysis, and Confirmatory Factor Analysis (CFA) to examine the internal consistency, reliability, dimensionality, and validity of each variable. Then, the structural equation modelling (SEM) was utilized in order to estimate path correlations between variables. Results indicate that the leadership style has the strongest effect on organizational commitment, followed by job satisfaction and working performance. Moreover, working performance and job satisfaction are also influenced by leadership style. However, there is no statistical evidence to show that job satisfaction has an impact on working performance. In addition, bootstrapping method is used to show the indirect effect of variables; results reveal that leadership style, though, does not have indirect effect on working performance via job satisfaction, but it indirectly affects organizational commitment throughout working performance. In other words, the study finds that working performance mediates the link between leadership style and organizational commitment.
TOXUAN DINH,Le Khac Thuy,Nguyen Thanh Tien,Tri Dung Dang,Cong Minh Ho,Hoai Vu Anh Truong,Hoang Vu Dao,Tri Cuong Do,안경관 사단법인 유공압건설기계학회 2019 드라이브·컨트롤 Vol.16 No.2
Fuel cell hybrid electric vehicle is an attractive solution to reduce pollutants, such as noise and carbon dioxide emission. This study presents an approach for energy management and control algorithm based on energetic macroscopic representation for a fuel cell hybrid electric vehicle that is powered by proton exchange membrane fuel cell, battery and supercapacitor. First, the detailed model of the fuel cell hybrid electric vehicle, including fuel cell, battery, supercapacitor, DC-DC converters and powertrain system, are built on the energetic macroscopic representation. Next, the power management strategy was applied to manage the energy among the three power sources. Moreover, the control scheme that was based on back-stepping sliding mode control and inversed-model control techniques were deduced. Simulation tests that used a worldwide harmonized light vehicle test procedure standard driving cycle showed the effectiveness of the proposed control method.