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Intelligent Automation & Soft Computing 2024年第2期39卷 255-279页

作者： nguyen huu Loc Khuu Thuy Duy Truong Quoc Dien Le Tran Thanh Cong Vu Hoa Binh Tran Tuong Quan Vo Department of Mechatronics Faculty of Mechanical EngineeringHo Chi Minh City University of Technology(HCMUT)Ho Chi Minh CityVietnam Bach Khoa Research Center for Manufacturing Engineering Ho Chi Minh City University of Technology(HCMUT)Ho Chi Minh CityVietnam VietnamNational University Ho ChiMinh City Ho ChiMinh CityVietnam

Optimizing Flow Path Design(FPD)is a popular research area in transportation system design,but its application to Overhead Transportation Systems(OTSs)has been *** study focuses on optimizing a double-spine flow path design for OTSs with 10 stations by minimizing the total travel distance for both loaded and empty *** employ transportation methods,specifically the North-West Corner and Stepping-Stone methods,to determine empty vehicle travel ***,the Tabu Search(TS)algorithm is applied to branch the 10 stations into two main layout *** results obtained from our proposed method demonstrate a reduction in the objective function value compared to the initial feasible ***,we explore howchanges in the parameters of the TS algorithm affect the optimal *** validate the feasibility of our approach by comparing it with relevant literature and conducting additional tests on layouts with 20 and 30 stations.

关键词： Overhead transportation systems tabu search double-spine layout transportationmethod empty travel flow path design

STABILITY ANALYSIS OF A COMPUTER VIRUS PROPAGATION MODEL WITH ANTIDOTE IN VULNERABLE SYSTEM

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Acta Mathematica Scientia 2016年第1期36卷 49-61页

作者： nguyen huu KHANH nguyen Bich HUY Department of Mathematics College of Natural SciencesCan Tho University Departmet of Mathematics Ho Chi Minh University of Education

We study a proposed model describing the propagation of computer virus in the network with antidote in vulnerable system. Mathematical analysis shows that dynamics of the spread of computer viruses is determined by the threshold Ro. If Ro 〈 1, the virusfree equilibrium is globally asymptotically stable, and if R0 〉 1, the endemic equilibrium is globally asymptotically stable. Lyapunov functional method as well as geometric approach are used for proving the global stability of equilibria. A numerical investigation is carried out to confirm the analytical results. Through parameter analysis, some effective strategies for eliminating viruses are suggested.

关键词： computer virus virus-free equilibrium endemic equilibrium global stability antidote

Epidemiology and Clonal Spread Evidence of Carbapenem-Resistant Organisms in the Center of Care and Protection of Orphaned Children, Vietnam

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Open Journal of Medical Microbiology 2024年第3期14卷 165-189页

作者： Van Kim nguyen Pirom Noisumdaeng Pol. Maj. Katiya Ivanovitch Stephen Baker Eugene Athan Stephanie Jones Le Thi Lan Larry Croft Yin Peng Lee Tara Cassidy Van Hung Tran Thi Hang Phan huu Tinh Ho Faculty of Public Health Thammasat University Bangkok Thailand Department of Prevention and Infection Control Hung Vuong Hospital HCM City Vietnam Microbiology of Faculty of Public Health Thammasat University Bangkok Thailand Thammasat University Research Unit in Modern Microbiology and Public Health Genomics Thammasat University Bangkok Thailand National Heart & Lung Institute (NHLI) University of Cambridge Cambridge UK Barwon South West Public Health Unit Geelong Australia Center for Innovation in Infectious Disease and Immunology Research (CIIDIR) Geelong Australia School of Medicine Deakin University Burwood Australia Monash Health Berwick Australia Center of Care and Protection of Orphaned Children HCM City Vietnam Charles River Laboratories Microbial Solutions Melbourne Australia Personnel Department of Nhan Dan Gia Dinh Hospital HCM City Vietnam Hung Vuong Hospital HCM City Vietnam Department of Epidemiology Institute of Public Health HCM City Vietnam

Objective: To determine the prevalence of colonization and transmission of carbapenem-resistant Gram-negative organisms in order to develop of an effective infection prevention program. Design: Cross-sectional study with carbapenem-resistant organisms (CRO) colonization detection from the fecal specimens of 20 Health Care Workers (HCWs) and 67 residents and 175 random environment specimens from September 2022 to September 2023. Setting: A Care and Protection Centre of Orphaned Children in South of HCM City. Participants: It included 20 HCWs, 67 residents, and 175 randomly collected environmental specimens. Method: Rectal and environmental swabs were collected from 20 HCWs, 67 residents (most of them were children), and 175 environmental specimens. MELAB Chromogenic CARBA agar plates, Card NID, and NMIC-500 CPO of the BD Phoenix TM Automated Microbiology System and whole genome sequencing (WGS) were the tests to screen, confirm CROs, respectively and determine CRO colonization and transmission between HCWs, residents, and the environment. Result: We detected 36 CRO isolates, including 6, 11 and 19 CROs found in 6 HCWs, 10 residents and 19 environments. The prevalence of detectable CRO was 30% (6/20) in HCWs, 14.92% (10/67) in residents, and 10.86% (19/175) in environmental swabs in our study. WGS demonstrated CRO colonization and transmission with the clonal spread of E. coli and A. nosocomialis, among HCWs and residents (children). Conclusion: Significant CRO colonization and transmission was evident in HCWs, residents, and the center environment. Cleaning and disinfection of the environment and performing regular hand hygiene are priorities to reduce the risk of CRO colonization and transmission.

关键词： Carbapenem-Resistant Organisms Contamination Hand Hygiene Whole Genome Sequencing Infection Prevention

New Results on H_(∞) Control for Nonlinear Conformable Fractional Order Systems

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Journal of Systems Science & Complexity 2021年第1期34卷 140-156页

作者： MAI Viet Thuan nguyen Thi Huyen Thu nguyen huu Sau nguyen Thi Thanh Huyen Department for Management of Science and Technology Development Ton Duc Thang UniversityHo Chi Minh CityVietnam Faculty of Mathematics and Statistics Ton Duc Thang UniversityHo Chi Minh CityVietnam Faculty of General Science Hanoi University of Natural Resources and EnvironmentHanoiVietnam Faculty of Fundamental Science Hanoi University of IndustryHa NoiVietnam Department of Mathematics and Informatics Thainguyen University of SciencesThainguyenVietnam

This paper deals with H_(∞) control problem for nonlinear conformable fractional order systems. The authors first derive new sufficient condition for exponential stability of nonlinear conformable fractional order systems based on Lyapunov-like function method for conformable fractional order systems and linear matrix inequalities(LMIs) approach. Then, by introducing a new concepts of H_(∞) control problem for nonlinear conformable fractional order systems, the authors study H_(∞) performance analysis and H_(∞) state feedback controller design problems for the considered systems. In terms of LMIs, a sufficient condition is proposed to ensure the nonlinear conformable fractional order systems are not only exponentially stable, but also satisfy H_(∞) performance γ. An explicit expression for state feedback controllers is also designed to make the closed-loop system is exponentially stable with H_∞performance γ. Finally, numerical examples are given to illustrate the validity and effectiveness of the proposed results.

关键词： Conformable fractional-order H_(∞)control problems H_(∞)performance analysis linear matrix inequalities nonlinear systems

A hybrid machine learning model to estimate self-compacting concrete compressive strength

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Frontiers of Structural and Civil Engineering 2022年第8期16卷 990-1002页

作者： Hai-Bang LY Thuy-Anh nguyen Binh Thai PHAM May huu nguyen Civil Engineering Department University of Transport TechnologyHanoi 100000Vietnam Civil and Environmental Engineering Program Graduate School of Advanced Science and EngineeringHiroshima UniversityHiroshima 739-8527Japan

This study examined the feasibility of using the grey wolf optimizer(GWO)and artificial neural network(ANN)to predict the compressive strength(CS)of self-compacting concrete(SCC).The ANN-GWO model was created using 115 samples from different sources,taking into account nine key SCC *** validation of the proposed model was evaluated via six indices,including correlation coefficient(R),mean squared error,mean absolute error(MAE),IA,Slope,and mean absolute percentage *** addition,the importance of the parameters affecting the CS of SCC was investigated utilizing partial dependence *** results proved that the proposed ANN-GWO algorithm is a reliable predictor for SCC’s *** that,an examination of the parameters impacting the CS of SCC was provided.

关键词： artificial neural network grey wolf optimize algorithm compressive strength self-compacting concrete

Safeguarding transcriptional memory: a mitotic bookmarking role for chromatin remodelers

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Signal Transduction and Targeted Therapy 2023年第11期8卷 5132-5133页

作者： Godwin Sokpor huu Phuc nguyen Tran Tuoc Department of Human Genetics Ruhr University of BochumBochumGermany Lincoln Medical School University of LincolnLincolnUK

A recent study published in Nature reveals an interaction between SWI/SNF subunits and mitotic chromatin,which is essential for establishing gene bookmarks and preserving cell identity.1 The findings deepen our understanding of how SWI/SNF complexes regulate transcriptional memory heritability for cell fate commitment(Fig.1),thus validating the indispensability of SWI/SNF complexes in development and association of their perturbance with tumorigenesis and neurodevelopment disorders.

关键词： establishing complexes preserving

Combining Entropy Optimization and Sobel Operator for Medical Image Fusion

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Computer Systems Science & Engineering 2023年第1期44卷 535-544页

作者： nguyen Tu Trung Tran Thi Ngan Tran Manh Tuan To huu nguyen Faculty of Computer Science and Engineering Thuyloi University175 Tay SonDong DaHanoi010000Vietnam University of Information and Communication Technology Thai Nguyen UniversityThai Nguyen240000Vietnam

Fusing medical images is a topic of interest in processing medical *** is achieved to through fusing information from multimodality images for the purpose of increasing the clinical diagnosis *** fusion aims to improve the image quality and preserve the specific *** methods of medical image fusion generally use knowledge in many differentfields such as clinical medicine,computer vision,digital imaging,machine learning,pattern recognition to fuse different medical *** are two main approaches in fusing image,including spatial domain approach and transform domain *** paper proposes a new algorithm to fusion multimodal *** algorithm is based on Entropy optimization and the Sobel *** transform is used to split the input images into components over the low and high frequency ***,two fusion rules are used for obtaining the fusing *** rule,based on the Sobel operator,is used for high frequency *** second rule,based on Entropy optimization by using Particle Swarm Optimization(PSO)algorithm,is used for low frequency *** algorithm is implemented on the images related to central nervous system *** experimental results of the paper show that the proposed algorithm is better than some recent methods in term of brightness level,the contrast,the entropy,the gradient and visual informationfidelity for fusion(VIFF),Feature Mutual Information(FMI)indices.

关键词： Medical image fusion wavelet entropy optimization PSO Sobel operator

Using Adaptive Gain Scheduling LQR Method Control of Arm Driven Inverted Pendulum System Based on PIC18F4431

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Journal of Harbin Institute of Technology(New Series) 2013年第4期20卷 85-92页

作者： huu Chan Thanh nguyen An-Wen Shen Department of Control Science and Engineering HuaZhong University of Science and Technology

The arm driven inverted pendulum system is a highly nonlinear model, muhivariable and absolutely unstable dynamic system so it is very difficult to obtain exact mathematical model and balance the inverted pendulum with variable position of the ann. To solve this problem, this paper presents a mathematical model for arm driven inverted pendulum in mid-position configuration and an adaptive gain scheduling linear quadratic regulator control method for the stabilizing the inverted pendulum. The proposed controllers for arm driven inverted pendulum are simulated using MATLAB-SIMULINK and implemented on an experiment system using PIC 18F4431 mieroeontroller. The result of experiment system shows the control performance to be very good in a wide range stabilization of the arm position.

关键词： Arm Driven Inverted Pendulum (ADIP) adaptive gain scheduling LQR control LQR control swing up pendlum

Enhanced electrical property of graphite/Al_(2)O_(3) composite fabricated by reductive sintering of gel-casted body using cross-linked epoxy polymer

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Journal of Advanced Ceramics 2022年第4期11卷 523-531页

作者： Yoshiaki FUNAHASHI Yunzi XIN Kunihiko KATO huu Hien nguyen Takashi SHIRAI Department of Life Science and Applied Chemistry Graduate School of EngineeringNagoya Institute of TechnologyGokiso-choShowa-kuNagoyaAichi 466-8555Japan Advanced Ceramics Research Center Nagoya Institute of TechnologyGokiso-choShowa-kuNagoyaAichi 466-8555Japan

In the present study,graphite/alumina composites are fabricated via reductive sintering of gel-casted green bodies with structurally controlled cross-linked epoxy polymers for the first *** cross-linking degrees of polymers are tuned by the amount ratio of epoxy monomer/polyvinyl alcohol cross-linker utilized in gel-casting *** electrical properties with respect to 5-fold enhanced electrical conductivity and 2-fold higher carrier mobility are successfully achieved in graphite/alumina composite fabricated from cross-linked epoxy polymer,whose phenomenon is attributed to the excellent conductive path in ceramic matrix established by highly uniform network with improved graphitization degree.

关键词： ceramic composite gel-casting reductive sintering cross-linking electrical property graphitization

Machine learning for integrating combustion chemistry in numerical simulations

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能源与人工智能(英文) 2021年第3期5卷 330-338页

作者： huu-Tri nguyen Pascale Domingo Luc Vervisch Phuc-Danh nguyen CORIA-CNRS Normandie UniversitéINSA Rouen NormandieSaint-Etienne-du-Rouvray 76801France ArcelorMittal Global Research and Development Maiziéres-lés-Metz 57280France

A strategy based on machine learning is discussed to close the gap between the detailed description of combustion chemistry and the numerical simulation of combustion ***,the partial differential equations describ-ing chemical kinetics are stiffand involve many degrees of freedom,making their solving in three-dimensional unsteady simulations very *** is discussed in this work how a reduction of the computing cost by an order of magnitude can be achieved using a set of neural networks trained for solving *** ther-mochemical database used for training is composed of time evolutions of stochastic particles carrying chemical species mass fractions and temperature according to a turbulent micro-mixing problem coupled with complex *** novelty of the work lies in the decomposition of the thermochemical hyperspace into clusters to facilitate the training of neural *** decomposition is performed with the Kmeans algorithm,a local principal component analysis is then applied to every *** new methodology for combustion chemistry reduction is tested under conditions representative of a non-premixed syngas oxy-flame.

关键词： Combustion chemistry Micro-mixing modeling Principal component analysis Artificial neural network Chemistry reduction