http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Key Determinants for Users Intention to Use Smarthome Devices in Vietnam
Nguyen, Thi-Hong-Linh,Duong, Minh-Hung,Nguyen, Hai-Dang,Vo, Dang-HongNgan,Vu, Duy-Phuong-Trinh,Le, Hoanh-Su Korea Multimedia Society 2018 The journal of multimedia information system Vol.5 No.4
Smarthome is one of the remarkable fields of the industrial revolution 4.0, which are popular in many countries such USA, EURO, Japan and Korea. However, how Vietnamese people are considering and having intension to use smarthome devices is still a question for marketers and researchers. This study develops a comprehensive research model that can explain potential customers' behavioral intentions to adopt and use Smarthome services in Viet Nam and figure which key factors affect the intention. This study proposes and validates a new theoretical model that extends the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). The model consists of eight factors that affect one element (Behavioral Intention), specifically: Habits, Perceived usefulness, Perceived ease of use, Trust, Innovativeness Personal, Perceived value, Hedonic motivations and Social influences. Data were collected from 304 Vietnamese citizens by sending the email to survey questionnaire, direct contact with the experienced smarthome users. Through regression analysis, data from samples were analysed with SPSS 20 software and verification of hypotheses, the results show the key determinants affecting the intention to use smarthome appliances in Vietnam: Perceived Value, Social Influence, Perceived Usefulness, Perceived Ease of Use and Trust. From this result, several recommendations have been suggested to to smarthome devices vendors and marketer to improve products as well as marketing approaches to meet customer needs.
Hand Detector based on Efficient and Lighweight Convolutional Neural Network
Duy-Linh Nguyen,Muhamad Dwisnanto Putro,Kang-Hyun Jo 제어로봇시스템학회 2020 제어로봇시스템학회 국제학술대회 논문집 Vol.2020 No.10
Hand detection and recognition topic has been studied since the last century and is particularly concerned with the development of machine learning today. Inspired by the benefits of a convolution neural network (CNN), this paper proposed an efficient and lightweight architecture to detect the location of hand in the images. This network is deployed with two main blocks which are the feature extraction and the detection block. The feature extraction block starts by convolution layers, CReLU (Concatenated Rectified Linear Unit) module, and max pooling layers alternately. After that, the six inception modules are used and final by four convolution layers. The detection block is constructed by three blocks of two-sibling convolution layers using for classification and regression. The experiment was trained on the combination of EgoHands and Hand dataset. As evaluation, the detector was tested on Egohands test dataset with the results achieved 93.32% of AP (Average Precision). In addition, the speed was tested in real-time by 33.87 fps (frames per second) on Intel Core I7-4770 CPU @ 3.40 ㎓.
Nguyen Duy Dat,Ton That Loc,Mai Thuan Trieu,Dong Thanh Nguyen,Khuong Quoc Nguyen,My Linh Nguyen,Anh Duy Duong Le,Hai Nguyen Tran 한국화학공학회 2022 Korean Journal of Chemical Engineering Vol.39 No.4
Two new composites from synthetic clay-like materials and carbon spheres were developed. Layered doubledhydroxides (LDH) were synthesized from the coprecipitation of Mg2+ and Al3+ ions. Spherical hydrochar (SH) wasprepared from pure glucose through hydrothermal carbonization at 190 oC. The composite LDH–SH was synthesizedthrough a simple hydrothermal method of the mixture of LDH and SH. Another composite, LDO-SB, was directly preparedthrough the carbonization of LDH-SH at 500 oC. Under such high temperature, LDH was converted to layereddoubled oxides (LDO), and SH was transferred to spherical biochar (SB). Those materials were characterized by chemicalstability, surface morphology and element composition, crystal structure, surface functional group, and texturalcharacteristic. They were applied for removing cationic dye (methylene blue; MB) and anionic dye (Congo red; CR)under different pH solutions. Three adsorption components—kinetics, isotherm, and thermodynamics—were conductedunder batch experimenters. Results demonstrated that the LDH or LDO particles were assembled on the surfaceof SH or SB, respectively. The surface area, total pore volume, and average pore width of LDH–SH and LDO-SBwere 58.5 and 198m2/g, 0.319 and 0.440 cm3/g, and 21.8 and 8.89 nm, respectively. The maximum adsorption capacityof the materials, calculated from the Langmuir model, at 30 oC for CR and MB dyes was 1589 and 78.6mg/g (LDOSB)and 499 and 226mg/g (LDH-SH), respectively. The composites exhibited a higher affinity to anionic than cationicdyes, which resulted from the great contribution of the clay-like materials. Therefore, they can serve as a promisingcomposite for the decolorization of wastewater.
Duy-Linh Nguyen,Muhamad Dwisnanto Putro,Kang-Hyun Jo 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10
The traffic accident is a big problem in the world and it is happening every day. One of the main causes is distracted driving. Those are the actions of the driver when they are not focusing on driving on the road such as using the cellphone, drinking, makeup, talking to others, etc. For driver warning purpose, this paper proposes a distracted driver recognizer with a simple and efficient Convolutional Neural Network (CNN). The evaluation results on the State Farm Distracted Driver Detection dataset with ten activities achieved an accuracy of 99.51% and on video with the latency allowed for deployment in the real-time system based on a low-computation device.
소셜 네트워크를 위한 확산 확률과 노드 연결성 기반의 정보 확산 최대화 알고리즘
응웬두이린(Nguyen Duy Linh),전문길(Wenji Quan),황준호(Junho Hwang),유명식(Myungsik Yoo) 한국통신학회 2013 韓國通信學會論文誌 Vol.38 No.6B
최근 소셜 네트워크 서비스가 급속히 증가함에 따라 많은 기업들과 사용자들은 자신들의 정보가 더욱 빠르게 확산되길 바란다. 이러한 소셜 네트워크에서의 정보 확산을 연구하기 위하여 많은 알고리즘들이 제안되었는데 그 중 대표적인 알고리즘은 그리디 알고리즘(Greedy Algorithm)과 휴리스틱 알고리즘(Heuristic Algorithm)이다. 하지만 그리디 알고리즘의 경우 복잡성으로 인하여 실제 소셜 네트워크에 사용이 제한적이며, 기존 휴리스틱 기반의 메시지 전파 기법의 경우 균일한 소셜 네트워크 환경을 고려하였기 때문에 현재 소셜 네트워크의 특성을 반영한 연구가 요구된다. 이에 본 논문에서는 휴리스틱 알고리즘 기반의 정보 확산 확률과 노드 연결성을 고려한 정보 확산 능력 최대화 알고리즘을 제안하고, 실제 소셜 네트워크 데이터베이스를 이용하여 제안 알고리즘의 성능을 분석하였다. 그 결과 기존 알고리즘이 비해 더 많은 노드를 활성화 시킬 수 있어 정보 확산 능력을 향상시킬 수 있음을 확인하였다. Recently, with the proliferation of social network services, users and many companies hope that their information spread more faster. In order to study the information diffusion in the social networks, many algorithms such as greedy algorithm and heuristic algorithm have been proposed. However, the greedy algorithm is too complicated to use in real-life social network, and the heuristic algorithms have been studied under the uniform distribution of diffusion probability, which is different from the real social network property. In this paper, we propose an heuristic information diffusion maximization algorithm based on diffusion probability and node degree. For performance evaluation, we use real social network database, and it is verified that our proposed algorithm activates more active nodes than existing algorithms, which enables faster and wider information diffusion.
Some Results of Recent Investigation and Application of Rubber Blends in Vietnam
Bui Chuong,Nguyen Thanh Liem,Dang Viet Hung,Nguyen Huy Tung,Nguyen Pham Duy Linh,Nguyen Thanh Nhan,Pham Ngoc Linh,Le Anh Kien,Chu Chien Huu 한국고분자학회 2021 한국고분자학회 학술대회 연구논문 초록집 Vol.46 No.1
We have investigated the change of tensile strength (TS) of Natural rubber/chloroprene rubber (NR/CR) blends during combination ageing, including heating and dynamic mechanical loading. Using model of statistical experiment, we built the equation describing the dependence of TS on four factors: temperature T, number of cyclic loadings N, contents of NR (C<sub>NR</sub>) and chloroprene (CCR). This equation allows predict the TS change of NR/CR blends after combination ageing with accepted inaccuracy – less than 10%. We also investigated the effect of nanofillers, such as nanoclay, SiO2, Fe<sub>3</sub>O4, on adhesion of some rubber blends to polyester and steel cords. It was found, in the case of EPDM/CIIR rubber blends, both nanoclay and SiO2 have no effect on adhesion to steel cords, while nano SiO2 may enhance adhesion to polyester cords. On other side, Fe<sub>3</sub>O4 may remarkably enhance adhesion of NR/CR blends to steel. Mentioned results are successfully applied in some practical rubber products working under fatigue conditions, such as rubber/steel antivibration pad for locomotive, heat resistant conveyor, water dam, underwater lift bag.
Phuong Ngoc Duy NGUYEN,Linh Le Khanh NGUYEN,Dong Nguyen Thanh LE 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.8
The purpose of this study is to explore the link between job satisfaction and organizational commitment at higher education institutions (HEIs) in emerging countries such as Vietnam and to determine extrinsic work factors that influence job satisfaction. Higher education is critical for socio-economic growth and the overall development of each country. Hence, an understanding of what motivates employees’ actions and attitudes should be obtained before determining the extent of employee satisfaction. The conceptual model was developed by incorporating job satisfaction-related variables, their relationships, and the impact of job satisfaction on organizational commitment. An empirical study was conducted on a study sample of public and private universities, with 316 academics and non-academic employees surveyed. The current study employed the partial least squares structural equation modeling to test the proposed hypotheses. The results reveal a positive and significant relationship between job satisfaction and organizational commitment. The findings confirm that extrinsic work factors (job itself, supervision, working conditions, payment, and reward and recognition) have a positive and significant relationship with job satisfaction. Furthermore, the study indicates that employees at HEIs who have a high level of ability utilization and supervisor support are more likely to be satisfied with their jobs.
Artocarpus nigrifolius: Cytotoxic and Antibacterial Constituents
Tran Minh Hoi,김영호,Ha Van Anh,Nguyen Thi Thanh Huong,Nguyen Van Tuyen,Le Thi Tu Anh,Nguyen Thanh Tra,Ba Thi Cham,Nguyen Thi Thu Ha,Pham Thuy Linh,Doan Duy Tien,Phan Van Kiem,Ninh Khac Ban,Lidziya Kukha 한국응용생명화학회 2013 Applied Biological Chemistry (Appl Biol Chem) Vol.56 No.6
Six known compounds including α-amyrin 3-acetate (1), β-sitosterol (2), betulinic acid (3), friedelan-3-one (4),artochamin B (5), and 2-C-methyl-D-erythritol 4-O-α-D-glucopyranoside (6) were isolated from the stem barks and leaves of Artocarpus nigrifolius (Moraceae) for the first time. Their structures were identified by spectroscopic methods as well as comparison with literatures. Cytotoxicity and antibacterial activity of 1-6 were evaluated. Results showed that artochamin B (5)possessed the highest cytotoxicity towards MCF7, Lu, HepG2,and KB cell lines with IC50 values of 4.59, 20.00, 3.60, and 1.18μg/mL, respectively. It also inhibited the growth of Gram-positive bacteria (Bacillus subtilis, Staphylococcus aureus), whereas inactive on the growth of both Gram-negative bacteria and yeast.
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.