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胡志明市中央公园

现代装饰 2019年第10期 114-117页

作者： Dong Viet Ngoc Bao nguyen Xuan Man Vu Ngoc Anh Do Thi Duong Thi nguyen Phuc Anh Thu Pham Duy Bao Long nguyen truong ngan Cao Trung nguyen Trinh Tien Vinh Le Thuy ngan Trinh Duc Tri Bui Quang Khanh Pham Thi Ngoc Ha Chris Bosse 郭映琴(编译) 方钰丹 LAVA&ASPECT Studio

LAVA联合ASPECT Studio赢得了越南胡志明市中央公园的国际竞赛,该项目计划于2020年开始建设。同时,LAVA将为该项目在未来三年的开发和建设提供服务。设计团队和合作方将共同创造一个真实存在的场所,搭建连接过去和未来的桥梁,建立起人... 详细信息

LAVA联合ASPECT Studio赢得了越南胡志明市中央公园的国际竞赛,该项目计划于2020年开始建设。同时,LAVA将为该项目在未来三年的开发和建设提供服务。设计团队和合作方将共同创造一个真实存在的场所,搭建连接过去和未来的桥梁,建立起人类、自然与科技之间的联系。摒弃了传统拘谨的设计格局,LAVA的设计是随性的、多功能的、友好的、互相联系且贯通的。

关键词：中央公园胡志明市

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

Object Detection in Remote Sensing Images Using Picture Fuzzy Clustering and MapReduce

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Computer Systems Science & Engineering 2022年第12期43卷 1241-1253页

作者： Tran Manh Tuan Tran Thi ngan nguyen Tu Trung Faculty of Computer Science and Engineering Thuyloi University175 Tay SonDong DaHanoi010000Vietnam

In image processing, one of the most important steps is image segmentation. The objects in remote sensing images often have to be detected in order toperform next steps in image processing. Remote sensing images usually havelarge size and various spatial resolutions. Thus, detecting objects in remote sensing images is very complicated. In this paper, we develop a model to detectobjects in remote sensing images based on the combination of picture fuzzy clustering and MapReduce method (denoted as MPFC). Firstly, picture fuzzy clustering is applied to segment the input images. Then, MapReduce is used to reducethe runtime with the guarantee of quality. To convert data for MapReduce processing, two new procedures are introduced, including Map_PFC and Reduce_*** formal representation and details of two these procedures are presented in thispaper. The experiments on satellite image and remote sensing image datasets aregiven to evaluate proposed model. Validity indices and time consuming are usedto compare proposed model to picture fuzzy clustering model. The values ofvalidity indices show that picture fuzzy clustering integrated to MapReduce getsbetter quality of segmentation than using picture fuzzy clustering only. Moreover,on two selected image datasets, the run time of MPFC model is much less thanthat of picture fuzzy clustering.

关键词： Remote sensing images picture fuzzy clustering image segmentation object detection MapReduce

The Obstacles and Potential Solution Clues of Prime Editing Applications in Tomato

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BioDesign Research 2022年第1期2022卷 11-18页

作者： Tien Van Vu ngan Thi nguyen Jihae Kim Swati Das Jinsu Lee Jae-Yean Kim Division of Applied Life Science(BK21 FOUR Program) Plant Molecular Biology and Biotechnology Research CenterGyeongsang National UniversityJinju 660-701Republic of Korea National Key Laboratory for Plant Cell Biotechnology Agricultural Genetics InstituteKm 02Pham Van Dong RoadCo Nhue 1Bac Tu LiemHanoi 11917Vietnam Division of Life Science Gyeongsang National University501 Jinju-daeroJinju 52828Republic of Korea Nulla Bio Inc. 501 Jinju-daeroJinju 660-701Republic of Korea.

Precision genome editing is highly desired for crop *** recently emerged CRISPR/Cas technology offers great potential applications in precision plant genome engineering.A prime editing(PE)approach combining a reverse transcriptase(RT)with a Cas9 nickase and a“priming”extended guide RNA(gRNA)has shown a high frequency for precise genome modification in mammalian cells and several plant ***,the applications of the PE approach in dicot plants are still limited and *** designed and tested prime editors for precision editing of a synthetic sequence in a transient assay and for desirable alleles of 10 loci in tomato by stable *** data obtained by targeted deep sequencing also revealed only low PE efficiencies in both the tobacco and tomato *** assessment of the activities of the PE components uncovered that the fusion of RT to Cas9 and the structure of PE gRNAs(pegRNAs)negatively affected the cleaving activity of the Cas9 *** self-complementarity between the primer binding sequences(PBSs)and spacer sequence might pose risks to the activity of the Cas9 ***,modifying the pegRNA sequences by shortening or introducing mismatches to the PBSs to reduce their melting temperatures did not enhance the PE efficiency at the MADS-box protein(SlMBP21),alcobaca(SlALC),and acetolactate synthase 1(SlALS1)*** data show challenges of the PE approach in tomato,indicating that a further improvement of the PE system for successful applications is demanded,such as the use of improved expression systems for enriching active PE complexes.

关键词： CRISPR/Cas precise editing

Reduction of the Regularization Error of the Method of Regularized Stokeslets for a Rigid Object Immersed in a Three-Dimensional Stokes Flow

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Communications in Computational Physics 2014年第1期15卷 126-152页

作者： Hoang-ngan nguyen Ricardo Cortez Center for Computational Science Tulane University6823 St.Charles AveNew OrleansLouisiana70118USA.

We focus on the problem of evaluating the velocity field outside a solid object moving in an incompressible Stokes flow using the boundary integral *** points near the boundary,the integral is nearly singular,and accurate computation of the velocity is not *** way to overcome this problem is to regularize the integral *** method of regularized Stokeslet(MRS)is a systematic way to regularize the kernel in this *** a specific blob function which is widely used,the error of the MRS is only of first order with respect to the blob *** prove that this is the case for radial blob functions with decay propertyφ(r)=O(r−3−α)when r→∞for some constantα>*** then find a class of blob functions for which the leading local error term can be removed to get second and third order errors with respect to blob *** the addition of these terms might give a flow field that is not divergence free,we introduce a modification of these terms to make the divergence of the corrected flow field close to zero while keeping the desired ***,these dominant terms are explicitly expressed in terms of blob function and so the computation time is negligible.

关键词： Stokes flow regularized Stokeslet boundary integral equation nearly singular integral.

Picture-Neutrosophic Trusted Safe Semi-Supervised Fuzzy Clustering for Noisy Data

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Computer Systems Science & Engineering 2023年第8期46卷 1981-1997页

作者： Pham Huy Thong Florentin Smarandache Phung The Huan Tran Manh Tuan Tran Thi ngan Vu Duc Thai nguyen Long Giang Le Hoang Son Graduate University of Science and Technology Vietnam Academy of Science and TechnologyHanoi100000Vietnam Institute of Information Technology Vietnam Academy of Science and TechnologyHanoi100000Vietnam VNU Information Technology Institute Vietnam National UniversityHanoi100000Vietnam Department of Mathematics University of New MexicoGallup87301New MexicoUSA University of Information and Communication Technology Thai Nguyen UniversityThai Nguyen250000Vietnam Faculty of Computer Science and Engineering Thuyloi UniversityHanoi100000Vietnam

Clustering is a crucial method for deciphering data structure and producing new *** to its significance in revealing fundamental connections between the human brain and events,it is essential to utilize clustering for cognitive *** with noisy data caused by inaccurate synthesis from several sources or misleading data production processes is one of the most intriguing clustering *** data can lead to incorrect object recognition and *** research aims to innovate a novel clustering approach,named Picture-Neutrosophic Trusted Safe Semi-Supervised Fuzzy Clustering(PNTS3FCM),to solve the clustering problem with noisy data using neutral and refusal degrees in the definition of Picture Fuzzy Set(PFS)and Neutrosophic Set(NS).Our contribution is to propose a new optimization model with four essential components:clustering,outlier removal,safe semi-supervised fuzzy clustering and partitioning with labeled and unlabeled *** effectiveness and flexibility of the proposed technique are estimated and compared with the state-of-art methods,standard Picture fuzzy clustering(FC-PFS)and Confidence-weighted safe semi-supervised clustering(CS3FCM)on benchmark UCI *** experimental results show that our method is better at least 10/15 datasets than the compared methods in terms of clustering quality and computational time.

关键词： Safe semi-supervised fuzzy clustering picture fuzzy set neutrosophic set data partition with noises fuzzy clustering

Orange G degradation by heterogeneous peroxymonosulfate activation based on magnetic MnFe_(2)O_(4)/α-MnO_(2) hybrid

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Journal of Environmental Sciences 2023年第2期124卷 379-396页

作者： Le Thi Thao To Van nguyen Van Quy nguyen Ngoc Man Phan Ki Jae Kim nguyen Nhat Huy nguyen Trung Dung Faculty of Physical and Chemical Engineering Le Quy Don Technical UniversityHanoi 100000Vietnam Department of Energy Engineering Konkuk UniversitySeoul 05029Korea School of Chemical Engineering College of EngineeringSungkyunkwan UniversityJangan-guSuwon 16419Korea Faculty of Environment and Natural Resources Ho Chi Minh City University of Technology(HCMUT)Ho Chi Minh City 700000Vietnam Vietnam National University Ho Chi Minh City Linh Trung WardThu Duc CityHo Chi Minh City 700000Vietnam

Wastewater containing an azo dye Orange G(OG)causes massive environmental pollution,thus it is critical to develop a highly effective,environmental-friendly,and reusable catalyst in peroxymonosulfate(PMS)activation for OG *** this work,we successfully applied a magnetic MnFe_(2)O_(4)/α-MnO_(2) hybrid fabricated by a simple hydrothermal method for OG removal in *** characteristics of the hybrid were investigated by Xray diffraction,scanning electron microscopy,energy-dispersive X-ray spectroscopy,Fourier transform infrared spectroscopy,Brunauer–Emmett–Teller method,vibrating sample magnetometry,electron paramagnetic resonance,thermogravimetric analysis,and X-ray photoelectron *** effects of operational parameters(i.e.,catalytic system,catalytic dose,solution pH,and temperature)were *** results exhibited that 96.8% of OG degradation was obtained with MnFe_(2)O_(4)/α-MnO2(1:9)/PMS system in 30 min regardless of solution pH ***,the possible reaction mechanism of the coupling system was proposed,and the degradation intermediates of OG were identified by mass *** radical quenching experiments and EPR tests demonstrated that SO_(4)•̶,O_(2)•̶,and 1O2 were the primary reactive oxygen species responsible for the OG *** hybrid also displayed unusual stability with less than 30%loss in the OG removal after four sequential ***,magnetic MnFe2O4/α-MnO2 hybrid could be used as a high potential activator of PMS to remove orange G and maybe other dyes from wastewater.

关键词： MnFe_(2)O_(4)/α-MnO_(2) Peroxymonosulfate Orange G Catalytic degradation Reusability

Green synthesis of three-dimensional magnesium ferrite/titanium dioxide/reduced graphene from Garcinia mangostana extract for crystal violet photodegradation and antibacterial activity

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Journal of Semiconductors 2023年第12期44卷 111-124页

作者： Tong Hoang Lin Che Quang Cong nguyen Thanh Hoai Nam Hoang An nguyen Duy Hai Ton That Buu Thoi Le Nhat Binh Hoang Le Minh Lam Thanh ngan Hoang Thuy Kim ngan Du Chi Vi Ta Dang Khoa nguyen Huu Hieu VNU-HCM Key Laboratory of Chemical Engineering and Petroleum Processing(Key CEPP Lab)Ho Chi Minh City University of Technology(HCMUT)268 Ly Thuong Kiet StreetDistrict 10Ho Chi Minh CityVietnam Faculty of Chemical Engineering Ho Chi Minh City University of Technology(HCMUT)268 Ly Thuong Kiet StreetDistrict 10Ho Chi Minh CityVietnam Vietnam National University Ho Chi Minh City(VNU-HCM) Linh Trung WardThu Duc CityVietnam

In this study,three-dimensional porous magnesium ferrite/titanium dioxide/reduced graphene oxide(Mg Fe_2O_(4)-GM/TiO_(2)/rGO(MGTG))was successfully synthesized via green and hydrothermal-supported co-precipitation methods using the extract of Garcinia mangostana(***)as a reducing *** characterization results indicate the successful formation of the nano/micro Mg Fe_(2)O_(4)(MFO)and TiO_(2) on the structure of the reduced graphene oxide(rGO),which can also act as efficient support,alleviating the agglomeration of the nano/micro MFO and TiO_(2).The synergic effects of the adsorption and photodegradation activity of the material were investigated according to the removal of crystal violet(CV)under ultraviolet *** effects of catalyst dosage,CV concentration,and p H on the CV removal efficiency of the MGTG were also *** to the results,the CV photodegradation of the MGTG-200 corresponded to the pseudo-first-order kinetic *** reusability of the material after 10 cycles also showed a removal efficiency of 92%.This happened because the materials can easily be recollected using external *** addition,according to the effects of different free radicals·O_(2)^(-),h^(+),and·OH on the photodegradation process,the photocatalysis mechanism of the MGTG was also thoroughly *** antibacterial efficiency of the MGTG was also evaluated according to the inhibition of the Gram-positive bacteria strain Staphylococcus aureus(***).Concurrently,the antibacterial mechanism of the fabricated material was also *** results confirm that the prepared material can be potentially employed in a wide range of applications,including wastewater treatment and antibacterial activity.

关键词： magnesium ferrite titanium dioxide reduced graphene oxide Garcinia mangostana photodegradation antibacterial

A comparative analysis of weight-based machine learning methods for landslide susceptibility mapping in Ha Giang area

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Big Earth Data 2023年第4期7卷 1005-1034页

作者： Thanh Trinh Binh Thanh Luu Trang Ha Thi Le Duong Huy nguyen Trong Van Tran Thi Hai Van nguyen Khanh Quoc nguyen Lien Thi nguyen Faculty of Computer Science Phenikaa UniversityYen NghiaHa DongHanoi 12116Vietnam Phenikaa Research and Technology Institute(PRATI) A&A Green Phoenix Group JSCNo.167 Hoang NganTrung HoaCau GiayHanoi 11313Vietnam Northwestern Geological Division General Department of Geology and Minerals of VietnamHanoiVietnam Youth union office Thuyloi University175 Tay SonDong DaHanoiVietnam Center of Remote Sensing and Geohazards Vietnam Institute of Geosciences and Mineral ResourcesHanoiVietnam

Landslide susceptibility maps (LSMs) are very crucial for planningpolicies in hazardous areas. However, the accuracy and reliability ofLSMs depend on available data and the selection of suitable *** study is conducted to produce LSMs by combinations of machinelearning methods and weighting techniques for Ha Giang province,Vietnam, where has limited data. In study area, we gather 11 landslideconditioning factors and establish a landslide inventory *** the weights of classes (or factors) is very important toprepare data for machine learning methods to generate LSMs. Wefrst use frequency ratio (FR) and analytic hierarchy process (AHP)techniques to generate the weights. Then, random forest (RF), supportvector machine (SVM), logistic regression (LR), and AHP methods arecombined with FR and AHP weights to yield accurate and reliableLSMs. Finally, the performance of these methods is evaluated by fivestatistical metrics, ROC and R-index. The empirical results have shownthat RF is the best method in terms of R-index and the five metrics, *** rate (0.9661), FP rate (0.0), ACC (0.9835), MAE (0.0046), and RMSE(0.0350) for this study area. This study opens the perspective of weightbasedmachine learning methods for landslide susceptibility mapping.

关键词： Landslide logistic regression random forest SvM Vietnam