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Raman spectroscopy of Cu doping in Zn<sub>1−x</sub>Co<sub>x</sub>O diluted magnetic semiconductor
Hoang, Luc Huy,Hien, Nguyen Thi Minh,Hai, Nguyen Hoang,Hai, Pham Van,Khoi, Nguyen The,Yang, In-Sang John Wiley Sons, Ltd. 2009 JOURNAL OF RAMAN SPECTROSCOPY - Vol.40 No.11
<P>The room-temperature ferromagnetism and the Raman spectroscopy of the Cu-doped Zn<SUB>1−x</SUB>Co<SUB>x</SUB>O powders prepared by the sol–gel method are reported. The x-ray diffraction (XRD) data confirmed that the wurtzite structure of ZnO is maintained for ZnO doped with Co below 10 at%. The magnetization–field curves measured at room temperature demonstrated that all Co-doped ZnO powders were paramagnetic. Ferromagnetic ordering is observed for the samples doped with Cu in Zn<SUB>0.98</SUB>Co<SUB>0.02</SUB>O and strongly depends on the concentration of Cu. The relative strength of the second-order LO peak to the first-order one in the Raman spectra, which is related to the carrier concentration, of the Cu-doped Zn<SUB>0.98</SUB>Co<SUB>0.02</SUB>O powder is strongly correlated with the saturation magnetic moment of the system. This seems to be in favor of the Ruderman-Kittel-Kasuya-Yosida (RKKY) or double exchange mechanism of the ferromagnetism in this system. Copyright © 2009 John Wiley & Sons, Ltd.</P> <B>Graphic Abstract</B> <P>The room-temperature ferromagnetism and the Raman spectroscopy data of Cu-doped Zn<SUB>1−x</SUB>Co<SUB>x</SUB>O powders prepared by the sol–gel method are reported. The relative strength of the second-order LO peak to the first-order one in the Raman spectra, which is related to the carrier concentration, of Cu-doped Zn<SUB>0.98</SUB>Co<SUB>0.02</SUB>O powder is strongly correlated with the saturation magnetic moment of the system. <img src='wiley_img/03770486-2009-40-11-JRS2295-gra001.gif' alt='wiley_img/03770486-2009-40-11-JRS2295-gra001'> </P>
( Huy Hoang Nguyen ),( Gueesang Lee ),( Soohyung Kim ),( Hyungjeong Yang ) 한국인터넷정보학회 2013 KSII Transactions on Internet and Information Syst Vol.7 No.12
While non-predefined object segmentation (NDOS) distinguishes an arbitrary self-assumed object from its background, predefined object segmentation (DOS) pre-specifies the target object. In this paper, a new and novel method to segment predefined objects is presented, by globally optimizing an orientation-based objective function that measures the fitness of the object boundary, in a discretized parameter space. A specific object is explicitly described by normalized discrete sets of boundary points and corresponding normal vectors with respect to its plane shape. The orientation factor provides robust distinctness for target objects. By considering the order of transformation elements, and their dependency on the derived over-segmentation outcome, the domain of translations and scales is efficiently discretized. A branch and bound algorithm is used to determine the transformation parameters of a shape model corresponding to a target object in an image. The results tested on the PASCAL dataset show a considerable achievement in solving complex backgrounds and unclear boundary images.
Hoang-Anh T. Nguyen,Huy-Hoang Tran,Thang T. Vu,T.T. Quyen Bui 제어로봇시스템학회 2016 제어로봇시스템학회 국제학술대회 논문집 Vol.2016 No.10
Mental state classification is an important step for realizing a control system based on electroencephalography (EEG) signals which could benefit a lot of paralyzed people including the locked-in or Amyotrophic Lateral Sclerosis. Considering that EEG signals are nonstationary and often contaminated by various types of artifacts, classifying thoughts into correct mental states is not a trivial problem. In this work, our contribution is that we present and realize a novel model which integrates different techniques: Independent component analysis (ICA), relative wavelet energy, and support vector machine (SVM) for the same task. We applied our model to classify thoughts in two types of experiment whether with two or three mental states. The experimental results show that the presented model outperforms other models using Artificial Neural Network, K-Nearest Neighbors, etc.
FGW-FER: Lightweight Facial Expression Recognition with Attention
Huy-Hoang Dinh,Hong-Quan Do,Trung-Tung Doan,Cuong Le,Ngo Xuan Bach,Tu Minh Phuong,Viet-Vu Vu 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.9
The field of facial expression recognition (FER) has been actively researched to improve human-computer interaction. In recent years, deep learning techniques have gained popularity for addressing FER, with numerous studies proposing end-to-end frameworks that stack or widen significant convolutional neural network layers. While this has led to improved performance, it has also resulted in larger model sizes and longer inference times. To overcome this challenge, our work introduces a novel lightweight model architecture. The architecture incorporates three key factors: Depth-wise Separable Convolution, Residual Block, and Attention Modules. By doing so, we aim to strike a balance between model size, inference speed, and accuracy in FER tasks. Through extensive experimentation on popular benchmark FER datasets, our proposed method has demonstrated promising results. Notably, it stands out due to its substantial reduction in parameter count and faster inference time, while maintaining accuracy levels comparable to other lightweight models discussed in the existing literature.
An Aspect of English Loanword Adaptations to Vietnamese: Focusing on Consonants
HOANG QUANG HUY,정진완 미래영어영문학회 2023 영어영문학 Vol.28 No.1
This study deals with the loanword adaptation processes from English to Vietnamese, focusing on how consonants and consonant clusters map in Vietnamese. Because of the syllable structure and phoneme differences between the two languages, the recipient language, Vietnamese, adopts types of repair strategies to change the English words structurally to be harmonious with Vietnamese. However, the application of repair strategies is not symmetrical. Feature changes and vowel epenthesis are adopted for unacceptable simple onsets and complex onset clusters, respectively. However, unacceptable simple codas undergo feature changes or deletion, and the segmental deletion tactic only applies to complex coda clusters. Concerning the choice of an epenthetic vowel, a default insertion vowel is a schwa, but a close front vowel [i] is selected if an onset cluster begins with the alveolar fricative /s/. Compared to this, only a deletion strategy applies to simplify the coda clusters. The coda condition or the two-mora restriction of Vietnamese determines the selection of a deleted coda. Thus, either a coda segment is not acceptable or a segment projecting a third mora gets deleted.
Droplet synthesis of well-defined block copolymers using solvent-resistant microfluidic device
Hoang, Phan Huy,Nguyen, Chi Thanh,Perumal, Jayakumar,Kim, Dong-Pyo Royal Society of Chemistry 2011 Lab on a chip Vol.11 No.2
<P>Well-defined diblock copolymers were synthesized <I>via</I> an exothermic RAFT route by a droplet microfluidic process using a solvent-resistant and thermally stable fluoropolymer microreactor fabricated by a non-lithographic embedded template method. The resulting polymers were compared to products obtained from continuous flow capillary reactor and conventional bulk synthesis. The droplet based microreactor demonstrated superior molecular weight distribution control by synthesizing a higher molecular weight product with higher conversion and narrow polydispersity in a much shorter reaction time. The high quality of the as-synthesized block copolymer PMMA-<I>b</I>-PS led to a generation of micelles with a narrow size distribution that could be used as a template for well-ordered mesoporous silica with regular frameworks and high surface areas.</P> <P>Graphic Abstract</P><P>Well-defined block copolymers were synthesized by a new material based solvent-resistant lab on a chip device as a droplet generator that was serially connected with a capillary microreactor. <IMG SRC='http://pubs.rsc.org/services/images/RSCpubs.ePlatform.Service.FreeContent.ImageService.svc/ImageService/image/GA?id=c0lc00321b'> </P>
Minh-Huy Dinh Dang,Linh Ho Thuy Nguyen,Trang Thi Thu Nguyen,Ngoc Xuan Dat Mai,Phuong Hoang Tran,Tan Le Hoang Doan 한국공업화학회 2021 Journal of Industrial and Engineering Chemistry Vol.103 No.-
Functionalized metal–organic frameworks have recently received significant attention in heterogeneouscatalysis applications due to their high catalytic activity. In this work, a sulfate-functionalized Hf-clusterbasedmetal–organic framework was prepared via sulfation of a Hf-MOF, named Hf-BTC, constructed byHf6 clusters and 1,3,5-tricarboxylate linkers. The Hf-BTC-SO4 material was consequently demonstrated tobe an efficiently reusable superacid catalyst for a one-pot three-component reaction of pyrimido[1,2-a]benzimidazoles synthesis. The reaction catalyzed by the sulfated Hf-BTC could be carried out under mildand solvent-free conditions and give superior performance in a wide range of substrates. According todetailed investigation, the good catalytic performance of the sulfated-functionalized MOF likely originatesfrom the high-porosity framework and the high active sites of the functionalized clusters. Importantly, the catalyst could be easy to recover and reuse the functionalized framework several timeswith minor changes in catalytic efficiency.