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Transforming Education with Photogrammetry:Creating Realistic 3D Objects for Augmented Reality Applications

Computer modeling in Engineering & Sciences 2025年第1期142卷 185-208页

作者： Kaviyaraj Ravichandran Uma Mohan Department of computational Intelligence School of ComputingSRM Institute of Science and TechnologyKattankulathur603203India

Augmented reality(AR)is an emerging dynamic technology that effectively supports education across different *** increased use of mobile devices has an even greater *** the demand for AR applications in education continues to increase,educators actively seek innovative and immersive methods to engage students in ***,exploring these possibilities also entails identifying and overcoming existing barriers to optimal educational ***,this surge in demand has prompted the identification of specific barriers,one of which is three-dimensional(3D)*** 3D objects for augmented reality education applications can be challenging and time-consuming for the *** address this,we have developed a pipeline that creates realistic 3D objects from the two-dimensional(2D)*** for augmented and virtual reality can then utilize these created 3D *** evaluated the proposed pipeline based on the usability of the 3D object and performance ***,with 117 respondents,the co-creation team was surveyed with openended questions to evaluate the precision of the 3D object created by the proposed photogrammetry *** analyzed the survey data using descriptive-analytical methods and found that the proposed pipeline produces 3D models that are positively accurate when compared to real-world objects,with an average mean score above *** study adds new knowledge in creating 3D objects for augmented reality applications by using the photogrammetry technique;finally,it discusses potential problems and future research directions for 3D objects in the education sector.

关键词： Augmented reality education immersive learning 3D object creation photogrammetry and StructureFromMotion

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Conditions for formation and trapping of the two-ion Coulomb cluster in the dissipative optical superlattice

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Chinese Physics B 2015年第6期24卷 305-313页

作者： I.V.Krasnov Institute of computational modeling Siberian DivisionRussian Academy of Sciences

Conditions have been studied under which a polychromatic optical superlattice can form and trap the Coulomb cluster of two strongly interacting ions. In our previous work （Krasnov I V and Kamenshchikov L P 2014 Opt. Comm. 312 192） this new all-optical method of obtaining and confining the Coulomb clusters was demonstrated by numerical simulations for special values of the optical superlattice parameters and in the case of Yb ions. In the present paper the conditions are explicitly formulated, under which the long-lived two-ion cluster in the superlattice cell is formed. The peculiarity of these conditions is the renormalization of the ion-ion Coulomb interaction. Notably, the renormalized Coulomb force is determined by the effective charge which depends on the light field parameters and can strongly differ from the ＂bare＂ ion charge. This result can be accounted for by the combined manifestation of the quantum fluctuations of optical forces, nonlinear dependence of these forces on the velocity, and non-Maxwellian （Tsallis type） velocity distribution of the ions in the optical superlattice. Explicit analytical formulas are also obtained for the parameters of the optical two-ion cluster.

关键词： optical trap ion trap rectified gradient force Coulomb clusters

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POLYMER NETWORKS BY MOLECULAR DYNAMICS SIMULATION: FORMATION, THERMAL, STRUCTURAL AND MECHANICAL PROPERTIES

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Chinese Journal of Polymer Science 2013年第1期31卷 21-38页

作者： Rong-liang Wu Ting Li Erik Nies Division of Polymer chemistry and Materials Department of ChemistryThe Leuven Mathematical Modeling and Computational Science Centre (LMCC) and The Leuven Materials Research Centre (LMRC)Katholieke Universiteit Leuven

A molecular dynamics simulation method is presented and used in the study of the formation of polymer networks. We study the formation of networks representing the methylene repeating units as united atoms. The network formation is accomplished by cross-linking polymer chains with dedicated functional end groups. The simulations reveal that during the cross-linking process, initially branched molecules are formed before the gel point; approaching the gel point, larger branched entities are formed through integration of smaller branched molecules, and at the gel point a network spanning the simulation box is obtained; beyond the gel point the network continues to grow through the addition of the remaining molecules of the sol phase onto the gel （the network）; the final completion of the reaction occurs by intra-network connection of dangling ends onto unsaturated cross-linkers. The conformational properties of the strands in the undeformed network are found to be very similar with the conformational properties of the chains before cross-linking. The uniaxial deformation of the formed networks is investigated and the modulus determined from the stress-strain curves shows reciprocal scaling with the precursor chain length for networks formed from sufficiently large precursor chains （N≥ 20）.

关键词： Crosslinking Polymer network Network topology Molecular dynamics Mechanical properties.

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computational investigations on polymerase actions in gene transcription and replication:Combining physical modeling and atomistic simulations

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Chinese Physics B 2016年第1期25卷 339-348页

作者：喻进 Beijing computational Science Research Center Beijing 100094China

Polymerases are protein enzymes that move along nucleic acid chains and catalyze template-based polymerization reactions during gene transcription and replication. The polymerases also substantially improve transcription or replica- tion fidelity through the non-equilibrium enzymatic cycles. We briefly review computational efforts that have been made toward understanding mechano--chemical coupling and fidelity control mechanisms of the polymerase elongation. The polymerases are regarded as molecular information motors during the elongation process. It requires a full spectrum of computational approaches from multiple time and length scales to understand the full polymerase functional cycle. We stay away from quantum mechanics based approaches to the polymerase catalysis due to abundant former surveys, while ad- dressing statistical physics modeling approaches along with all-atom molecular dynamics simulation studies. We organize this review around our own modeling and simulation practices on a single subunit T7 RNA polymerase, and summarize commensurate studies on structurally similar DNA polymerases as well. For multi-subunit RNA polymerases that have been actively studied in recent years, we leave systematical reviews of the simulation achievements to latest computational chemistry surveys, while covering only representative studies published very recently, including our own work modeling structure-based elongation kinetic of yeast RNA polymerase II. In the end, we briefly go through physical modeling on elongation pauses and backtracking activities of the multi-subunit RNAPs. We emphasize on the fluctuation and control mechanisms of the polymerase actions, highlight the non-equilibrium nature of the operation system, and try to build some perspectives toward understanding the polymerase impacts from the single molecule level to a genome-wide scale.

关键词： polymerase molecular dynamics simulation kinetic modeling fidelity

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What can computational modeling offer for studying the Ca^(2+) dysregulation in Alzheimer's disease:current research and future directions

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Neural Regeneration Research 2018年第7期13卷 1156-1158页

作者： Jingyi Liang Don Kulasiri Centre for Advanced computational Solutions(C-fACS) Lincoln University

Ca^2＋ dysregulation is an early event observed in Alzheimer＇s disease（AD） patients preceding the presence of its clinical *** of neuronalCa^2＋ will cause synaptic loss and neuronal death,eventually leading to memory impairments and cognitive *** targetingCa^2＋ signaling pathways are potential therapeutic strategies against *** complicated interactions make it challenging and expensive to study the underlying mechanisms as to how Ca^2＋ signaling contributes to the pathogenesis of *** modeling offers new opportunities to study the signaling pathway and test proposed *** this mini-review,we present some computational approaches that have been used to study Ca^2＋ dysregulation of AD by simulating Ca^2＋signaling at various *** also pointed out the future directions that computational modeling can be done in studying the Ca^2＋ dysregulation in AD.

关键词： Alzheimer's disease amyloid-beta Ca^2+ hypothesis Ca^2+ dysregulation computational modeling computational neuroscience

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Absorption of laser radiation in ultracold plasma

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Chinese Physics B 2016年第10期25卷 128-131页

作者： N Y Shaparev Institute of computational modeling Russian Academy of Sciences National Research Tomsk State University

In this paper, we analyze the spectral behavior(optical thickness, shape and linewidth) of laser radiation absorption under the correlation heating of ions in an ultracold plasma. The Voigt formula is used to find the absorption *** spectral line width is shown to grow with time while the optical thickness reduces. Our modeling results are in good agreement with the experimental findings reported in the literature.

关键词： absorption laser radiation ultracold plasma

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Advances in numerical algorithms and methods in computational geosciences with modeling characteristics of multiple physical and chemical processes

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Science China(Technological Sciences) 2015年第5期58卷 783-795页

作者： ZHAO ChongBin computational Geosciences Research Centre Central South University CSIRO Earth Science and Resource Engineering

This paper aims to provide a brief introduction to recent advances in numerical algorithms and methods in the emerging computational geoscience filed with general simulation characteristics of modeling multiple chemical and physical processes that take place in ore-generating systems within the Earth's crust. Due to significant differences between Earth systems and engineering systems, the existing numerical algorithms and methods, which are designed for simulating realistic problems in the engineering fields, may not be straightforwardly used to simulate ore-generating problems without significant improvements. Thus, extensive and systematic studies have been conducted, in recent years, to develop new numerical algorithms and methods for simulating different aspects of ore-generating problems. Not only can the outcomes of these studies provide new simulation tools for better understanding the controlled dynamic mechanisms that take place in ore-generating systems, but also they have enriched the research contents of computational mechanics in the broad sense.

关键词： generating rock porosity geoscience dissolution magma enriched crust realistic tangential

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The combined effect of optical laser and microwave radiations on a metal surface

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Chinese Physics B 2014年第2期23卷 359-363页

作者： Anatoli P Gavrilyuk Nikolai Ya Shaparev Institute of computational modeling of Siberian Branch of Russian Academy of Sciences Akademgorodok Siberian Federal University

In this paper, it is shown that the laser radiation intensity required for complete ionization of vapors produced on an irradiated metal surface can be reduced by more than an order of magnitude through using pulsed l... 详细信息

关键词： laser microwave radiation metal surface plasma

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Numerical simulations of failure behavior around a circular opening in a non-persistently jointed rock mass under biaxial compression

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International Journal of Mining Science and Technology 2016年第4期26卷 729-738页

作者： Yang Xuxu Jing Hongwen Chen Kunfu Rock Mass modeling and computational Rock Mechanics Laboratories University of Arizona State Key laboratory for Geomechanics and Deep Underground Engineering China University of Mining and Technology

Pre-existing discontinuities change the mechanical properties of rock masses,and further influence failure behavior around an underground *** present study,the failure behavior in both Inner and Outer zones around a circular opening in a non-persistently jointed rock mass under biaxial compression was investigated through numerical ***,the micro parameters of the PFC^(3D) model were carefully calibrated using the macro mechanical properties determined in physical experiments implemented on jointed rock ***,a parametrical study was undertaken of the effect of stress condition,joint dip angle and joint *** low initial stress,the confining stress improves the mechanical behavior of the surrounding rock masses;while under high initial stress,the surrounding rock mass failed immediately following *** small dip angles the cracks around the circular opening developed generally outwards in a step-path failure pattern;whereas,at high dip angles the surrounding rock mass failed in an instantaneous intact rock failure ***,the stability of the rock mass around the circular opening deteriorated significantly with increasing joint persistency.

关键词： Underground opening Failure behavior Non-persistent joints Rock mass PFC^3D

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Novel ligand-based docking; molecular dynamic simulations;and absorption, distribution, metabolism, and excretion approach to analyzing potential acetylcholinesterase inhibitors for Alzheimer's disease

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Journal of Pharmaceutical Analysis 2018年第6期8卷 413-420页

作者： Subramaniyan Vijayakumar Palani Manogar Srinivasan Prabhu Ram Avadhar Sanjeevkumar Singh computational Phytochemistry laboratory PG and Research Department of Botany and Microbiology AVVM Sri Pushpam College (Autonomous) Poondi Computer Aided Drug Design and Molecular modeling laboratory Department of Bioinformatics Alagappa University

Acetylcholinesterase(AChE) plays an important role in Alzheimer's disease(AD). The excessive activity of AChE causes various neuronal problems, particularly dementia and neuronal cell deaths. Generally, antiAChE drugs induce some serious neuronal side effects in humans. Therefore, this study sought to identify alternative drug molecules from natural products with fewer side effects than those of conventional drugs for treating AD. To achieve this, we developed computational methods for predicting drug and target binding affinities using the Schrodinger suite. The target and ligand molecules were retrieved from established databases. The target enzyme has 539 amino acid residues in its sequence alignment. Ligand molecules of 20 bioactive molecules were obtained from different kinds of plants, after which we performed critical analyses such as molecular docking; molecular dynamic(MD) simulations; and absorption, distribution, metabolism, and excretion(ADME) analysis. In the docking studies, the natural compound rutin showed a superior docking score of à 12.335 with a good binding energy value ofà73.313 kcal/mol. Based on these findings, rutin and the target complex was used to perform MD simulations to analyze rutin stability at 30 ns. In conclusion, our study demonstrates that rutin is a superior drug candidate for AD. Therefore, we propose that this molecule is worth further investigation using in vitro studies.

关键词： Alzheimer's disease Acetylcholinesterase Phytocompounds Molecular docking Free energy calculations Molecular dynamic simulations

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