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Advancing Wound Filling Extraction on 3D Faces:An Auto-Segmentation and Wound Face Regeneration Approach

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Computer Modeling in Engineering & Sciences 2024年第5期139卷 2197-2214页

作者： Duong Q.nguyen thinh D.Le Phuong D.nguyen Nga T.K.Le H.nguyen-Xuan Department of Mathematics and Statistics Quy Nhon UniversityQuy Nhon City55100Viet Nam Applied Research Institute for Science and Technology Quy Nhon UniversityQuy Nhon City55100Viet Nam CIRTECH Institute HUTECH UniversityHo Chi Minh City72308Viet Nam

Facial wound segmentation plays a crucial role in preoperative planning and optimizing patient outcomes in various medical *** this paper,we propose an efficient approach for automating 3D facial wound segmentation using a two-stream graph convolutional *** method leverages the Cir3D-FaIR dataset and addresses the challenge of data imbalance through extensive experimentation with different loss *** achieve accurate segmentation,we conducted thorough experiments and selected a high-performing model from the *** selectedmodel demonstrates exceptional segmentation performance for complex 3D facial ***,based on the segmentation model,we propose an improved approach for extracting 3D facial wound fillers and compare it to the results of the previous *** method achieved a remarkable accuracy of 0.9999993% on the test suite,surpassing the performance of the previous *** this result,we use 3D printing technology to illustrate the shape of the wound *** outcomes of this study have significant implications for physicians involved in preoperative planning and intervention *** automating facial wound segmentation and improving the accuracy ofwound-filling extraction,our approach can assist in carefully assessing and optimizing interventions,leading to enhanced patient ***,it contributes to advancing facial reconstruction techniques by utilizing machine learning and 3D bioprinting for printing skin tissue *** source code is available at https://***/SIMOGroup/WoundFilling3D.

关键词： 3D printing technology face reconstruction 3D segmentation 3D printed model

Discrete-time sliding mode control with power rate exponential reaching law of a pneumatic artificial muscle system

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Control Theory and Technology 2022年第4期20卷 514-524页

作者： Quy-thinh Dao Trung-Kien Le Tri Van-Anh nguyen Manh-Linh nguyen School of Electrical and Electronic Engineering Hanoi University of Science and TechnologyDai Co VietHanoi 11615Vietnam

This paper develops a discrete-time sliding mode controller with a power rate exponential reaching law approach to enhance the performance of a pneumatic artificial muscle system in both reaching time and chattering *** proposed method dynamically adapts to the variation of the switching function,which is based on an exponential term and a power rate term of the sliding ***,the controlled system can achieve high tracking performance while still obtain chattering-free ***,the effectiveness of the proposed method is validated through multiple experimental tests,focused on a dual pneumatic artificial muscle ***,experimental results show the effectiveness of the proposed approach in this paper.

关键词： Pneumatic artificial muscle Discrete-time sliding mode control Exponential reaching law Chattering

A Novel Method in Wood Identification Based on Anatomical Image Using Hybrid Model

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Computer Systems Science & Engineering 2023年第11期47卷 2381-2396页

作者： nguyen Minh Trieu nguyen Truong thinh College of Technology and Design University of Economics Ho Chi Minh City—UEHHo Chi Minh City72516Vietnam

Nowadays,wood identification is made by experts using hand lenses,wood atlases,and field manuals which take a lot of cost and time for the training *** quantity and species must be strictly set up,and accurate identification of the wood species must be made during exploitation to monitor trade and enforce regulations to stop illegal *** the development of science,wood identification should be supported with technology to enhance the perception of fairness of *** automatic wood identification system and a dataset of 50 commercial wood species from Asia are established,namely,wood anatomical images collected and used to train for the proposed *** the convolutional neural network(CNN),the last layers are usually soft-max functions with dense *** layers contain the most parameters that affect the speed *** reduce the number of parameters in the last layers of the CNN model and enhance the accuracy,the structure of the model should be optimized and ***,a hybrid of convolutional neural network and random forest model(CNN-RF model)is introduced to wood *** accuracy’s hybrid model is more than 98%,and the processing speed is 3 times higher than the CNN *** highest accuracy is 1.00 in some species,and the lowest is *** results show the excellent adaptability of the hybrid model in wood identification based on anatomical *** also facilitates further investigations of wood cells and has implications for wood science.

关键词： Identifying wood anatomical wood hybrid model CNN-RF automatic identification vietnam wood

On recommendation-aware content caching for 6G:An artificial intelligence and optimization empowered paradigm

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Digital Communications and Networks 2020年第3期6卷 304-311页

作者： Yaru Fu khai nguyen Doan Tony Q.S.Quek The School of Science and Technology The Open University of Hong Kong(OUHK)KowloonHong KongChina Information Systems Technology and Design Singapore University of Technology and Design487372Singapore

Recommendation-aware Content Caching(RCC)at the edge enables a significant reduction of the network latency and the backhaul load,thereby invigorating ubiquitous latency-sensitive innovative ***,the effectiveness of RCC strategies is highly dependent on explicit information as regards subscribers’content request patterns,the sophisticated caching placement policy,and the personalized recommendation *** this article,we investigate how the potentials of Artificial Intelligence(AI)and optimization techniques can be harnessed to address those core issues and facilitate the full implementation of RCC for the upcoming intelligent 6G *** this end,we first elaborate on the hierarchical RCC network ***,the devised AI and optimization empowered paradigm is introduced,whereas AI and optimization techniques are leveraged to predict the users’content preferences in real-time situations with the assistance of their historical behavior data and determine the cache pushing and recommendation decision,*** extensive case studies,we validate the effectiveness of AI-based predictors in estimating users’content preference and the superiority of optimized RCC policies over the conventional *** last,we shed light on the opportunities and challenges in the future.

关键词： Artificial intelligence Content caching Optimization techniques Recommendation 6G

Performance Comparison of Chemically Modified Sugarcane Bagasse for Removing Cd(II) in Water Environment

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Journal of Renewable Materials 2019年第5期7卷 415-428页

作者： Manh khai nguyen Minh Trang Hoang Thi Thuy Pham Bart Van der Bruggen Falculty of Environmental Science VNU University of Science334 Nguyen TraiHanoiVietnam Laboratory for Process Engineering for Sustainable Systems Department of Chemical EngineeringKU LeuvenBelgiumCelestijnenlaan 200F3001 LeuvenBelgium

This paper evaluates the adsorption capacity of chemically sugarcane bagasses with sodium hydroxide(SHS),citric acid(CAS),tartaric acid(TAS)and unmodified sugarcane bagasse(SB)for cadmium adsorption in water *** results prove adsorption capacity for Cd(II)increases after chemical modification and the adsorption fits perfectly with the Langmuir *** had the highest maximum adsorption capacity of 45.45 mg/g followed by TAS with 38.46 mg/g and SHS with 29.41 at optimum pH 5.0 and 120 minutes equilibrium time while 1 g SB removed 18.8 mg Cd(II)in the same *** kinetics study of the process followed a pseudo-secondorder rate expression,that indicated a strong interaction between the biosorbents and *** sugarcane bagasse and modified sugarcane bagasse were characterized by scanning electron microscopy(SEM)and Fourier transform infrared spectroscopy(FTIR)*** chemical modification was confirmed by the presence of carboxyl and esters groups created at 1,738 *** estimation of acid groups in modified materials shows the enhancement of this group after *** the other hand,desorption studies showed the high leaching of cadmium ion from the biosorbent leading to the efficient reutilization of materials.

关键词： Cadmium chemical modification citric acid sugarcane bagasse

Role of bile acids in colon carcinogenesis

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World Journal of Clinical Cases 2018年第13期6卷 577-588页

作者： Thi thinh nguyen Trong Thuan Ung Nam Ho Kim Young Do Jung Department of Biochemistry Chonnam National University Medical School Department of Nephrology Chonnam National University Medical School

Bile acids(BAs)are cholesterol derivatives synthesized in the liver and then secreted into the intestine for lipid *** are numerous scientific reports describing BAs,especially secondary BAs,as strong carcinogens or promoters of colon ***,BAs act as strong stimulators of colorectal cancer(CRC)initiation by damaging colonic epithelial cells,and inducing reactive oxygen species production,genomic destabilization,apoptosis resistance,and cancer stem cells-like ***,BAs promote CRC progression via multiple mechanisms,including inhibiting apoptosis,enhancing cancer cell proliferation,invasion,and *** are diverse signals involved in the carcinogenesis mechanism of BAs,with a major role of epidermal growth factor receptor,and its down-stream signaling,involving mitogen-activated protein kinase,phosphoinositide 3-kinase/Akt,and nuclear factor kappa-light-chain-enhancer of activated B *** regulate numerous genes including the human leukocyte antigen class I gene,p53,matrix metalloprotease,urokinase plasminogen activator receptor,Cyclin D1,cyclooxygenase-2,interleukin-8,and miRNAs of CRC cells,leading to CRC *** evidence suggests that targeting BAs is an efficacious strategies for CRC prevention and treatment.

关键词： Apoptosis resistance Cancer stemness Bile acids Colorectal cancer Reactive oxygen species Angiogenesis

Calibration of a neutron dose rate meter in various neutron standard fields

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Nuclear Science and Techniques 2020年第6期31卷 75-82页

作者： Tuan khai nguyen Hoai-Nam Tran Quynh Ngoc nguyen Thi My Linh Dang Van Loat Bui Thiansin Liamsuwan Ngoc-Thiem Le Vietnam Agency for Radiation and Nuclear Safety 113 Tran Duy HungHanoi 100000Vietnam Institute of Fundamental and Applied Sciences Duy Tan UniversityHo Chi Minh 700000Vietnam Faculty of Natural Sciences Duy Tan University3 Quang TrungDa Nang 550000Vietnam Institute for Nuclear Science and Technology VINATOM179 Hoang Quoc VietHanoi 100000Vietnam Faculty of Physics VNU University of Science334 Nguyen TraiHanoi 100000Vietnam Nuclear Research and Development Division Thailand Institute of Nuclear TechnologyOngkharakNakorn NayokThailand 7 Faculty of Medicine and Public HealthHRH Princess Chulabhorn College of Medical ScienceChulabhorn Royal AcademyBangkokThailand

This paper presents the calibration of a neutron dose rate meter and the evaluation of its calibration factors(CFs)in several neutron standard fields(i.e.,two standard fields with bare sources of252Cf and241Am-Be,and five simulated workplace fields with241Am-Be moderated sources).The calibration in standard fields with bare sources was conducted by following the recommendations of the ISO 8529 *** measured total neutron ambient dose equivalent rates,denoted as H*(10)tot,were analyzed to obtain direct components,denoted as H*(10)dir,using a reduced fitting *** CF was then calculated as the ratio between the conventional true value of the neutron ambient dose equivalent rate in a free field,denoted as H*(10)FF,and the value of H*(10)*** contrast,in the simulated workplace neutron fields,the calibration of the neutron dose rate meter was conducted by following the ISO 12789 *** CF was calculated as the ratio between the values of H*(10)totmeasured by a standard instrument(i.e.,Bonner sphere spectrometer)and the neutron dose rate *** CF values were obtained in the range of 0.88–*** standard uncertainties(k=1)of the CFs were determined to be in the range of approximately 6.6–13.1%.

关键词： Neutron standard fields Neutron dose rate meter Calibration factor 252Cf source 241AmBe source

A new microchannel capillary flow assay (MCFA) platform with lyophilized chemiluminescence reagents for a smartphone-based POCT detecting malaria

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Microsystems & Nanoengineering 2020年第1期6卷 1316-1333页

作者： Sthitodhi Ghosh Kashish Aggarwal Vinitha T.U thinh nguyen Jungyoup Han Chong H.Ahn Department of Electrical Engineering and Computer Science Microsystems and BioMEMS LaboratoryUniversity of CincinnatiCincinnatiOH 45221USA Mico BioMed USA Inc. 10999 Reed Hartman HighwaySTE 309CCincinnatiOH 45242USA

There has been a considerable development in microfluidic based immunodiagnostics over the past few years which has greatly favored the growth of novel point-of-care-testing(POCT).However,the realization of an inexpensive,low-power POCT needs cheap and disposable microfluidic devices that can perform autonomously with minimum user *** work,for the first time,reports the development of a new microchannel capillary flow assay(MCFA)platform that can perform chemiluminescence based ELISA with lyophilized chemiluminescent *** new MCFA platform exploits the ultra-high sensitivity of chemiluminescent detection while eliminating the shortcomings associated with liquid reagent handling,control of assay sequence and user *** functionally designed microchannels along with adequate hydrophilicity produce a sequential flow of assay reagents and autonomously performs the ultra-high sensitive chemiluminescence based ELISA for the detection of malaria biomarker such as *** MCFA platform with no external flow control and simple chemiluminescence detection can easily communicate with smartphone via USB-OTG port using a custom-designed optical *** use of the smartphone for display,data transfer,storage and analysis,as well as the source of power allows the development of a smartphone based POCT analyzer for disease *** paper reports a limit of detection(LOD)of 8 ng/mL by the smartphone analyzer which is sensitive enough to detect active malarial *** MCFA platform developed with the smartphone analyzer can be easily customized for different biomarkers,so a hand-held POCT for various infectious diseases can be envisaged with full networking capability at low cost.

关键词： POCT smart capillary

Dynamic Data Optimization in IoT-Assisted Sensor Networks on Cloud Platform

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Computers, Materials & Continua 2022年第7期72卷 1357-1372页

作者： nguyen A.Tuan D.Akila Souvik Pal Bikramjit Sarkar Thien khai Tran G.Mothilal Nehru Dac-Nhuong Le Faculty of Information Technology Ho Chi Minh City University of Foreign Languages-Information TechnologyHo Chi Minh City70000Vietnam Department of Information Technology Vels Institute of ScienceTechnology&Advanced StudiesChennai600117India Department of Computer Science and Engineering Sister Nivedita UniversityKolkata700156India Department of Computer Science and Engineering JIS College of EngineeringNadia741235India Institute of Research and Development Duy Tan UniversityDanang550000Vietnam School of Computer Science Duy Tan UniversityDanang550000Vietnam

This article presents a new scheme for dynamic data optimization in IoT(Internet of Things)-assisted sensor *** various components of IoT assisted cloud platform are *** addition,a new architecture for IoT assisted sensor networks is ***,a model for data optimization in IoT assisted sensor networks is proposed.A novel Membership inducing Dynamic Data Optimization Membership inducing Dynamic Data Optimization(MIDDO)algorithm for IoT assisted sensor network is proposed in this *** proposed algorithm considers every node data and utilized membership function for the optimized data *** proposed framework is compared with two stage optimization,dynamic stochastic optimization and sparsity inducing optimization and evaluated in terms of reliability ratio,coverage ratio and sensing *** optimization was performed based on the availability of cloud resource,sensor energy,data flow volume and the centroid of each *** was inferred that the proposed MIDDO algorithm achieves an average performance ratio of 76.55%,reliability ratio of 94.74%,coverage ratio of 85.75%and sensing error of 0.154.

关键词： Data optimization IoT sensor network reliability membership sensor energy