Undo/Redo is an indispensable function in 3D collaborative modeling systems where a single mistake conducted by one user is propagated to all participants. Both intention preservation and consistency maintenance should be satisfied when applying group Undo/Redo. Besides, fast local responsiveness and timely group awareness are accepted performance metrics in interactive systems. In this paper, we contribute a novel group Undo/Redo mechanism for 3D collaborative modeling systems to support the “any time, any where” Undo/Redo. Response time will be shortened noticeably with a Model State Stream kept on each collaborative site. In the case of concurrent Undo/Redo, an Undo State Vector is proposed to ensure the Undo/Redo intention preservation and model consistency maintenance. Furthermore, the paper studies the performance of the algorithm including the worst, best and average cases with theoretical analyses. Our experiments show that responsive time is actually depending on a number of factors such as size of the history buffer, execution time for a single modeling operation. 相似文献
CoFeIIFeIII-layered double hydroxide (LDH) hollow spheres with two distinctly different hierarchical morphologies—flower-like and raspberry-like, involving edge-on and face-on oriented LDH platelets as building blocks, respectively—can be fabricated by tuning the rate of addition of NaOH solution in a coprecipitation process with sulfonated polystyrene spheres as a template. Ex situ pH-dependent microscopic observations of the formation of the flower-like LDH shells shows the details of non-classic nucleation and growth underlying the edge-on orientation. After calcination, the resulting CoFe2O4 materials retain the hierarchical morphology of the corresponding LDH precursor. The hollow CoFe2O4 spheres with raspberry-like morphology exhibit magnetic properties comparable to a reference material obtained by calcination of a conventional LDH powder precursor. Similar materials with tunable magnetic properties can be prepared by virtue of the flexibility in LDH layer composition. The CoFeIIFeIII-LDH spheres with a raspberry-like morphology may be also be prepared by using a scalable procedure involving separate ultra-rapid nucleation and aging steps in a modified colloid mill reactor. The results reported here may open up the possibility of producing shell structures with controllable morphologies and properties on a large scale. 相似文献
Layered double hydroxides (LDHs), known as a type of multifunctional anionic layered clay, typically exhibit stability and intrinsic hydrophilicity at neutral and alkaline pH. We herein report a polymer bead-templated preparation of flower-like LDH shell microspheres with the LDH platelets tuned under different aging durations and temperatures. Thickness of LDH shell walls was tuned readily by varying preparation conditions such as aging durations and temperatures. After a simple chemical surface modification using fluorine-silane molecule, the flower-like LDH nano/microspheres show the distinctly different transitions from the intrinsic hydropholicity to the superhydrophobicity at pH 2 and neutral pH. In contrast, at alkaline condition of pH 12 small flower-like spheres were formed atop of the parent microspheres, which may be argued in terms of a process of desorption of silane molecule at the alkaline condition combined with dissolution and reassembly of LDH platelets. Our finding of the superhydrophobic LDH spheres may find useful applications in chemical and biosensors against harsh acidic conditions. 相似文献
The heat transfer mathematic models are widely used in iron and steel industry area.Many computational models that represent this physical process is based on finite difference methods.The simulation of these phenomena demands a high computational cost.In this paper we employ GPU for the development of algorithm for a two-dimensional heat transfer problem with finite difference methods.The performance evaluation has been made and the comparison between CPU and GPU were discussed.The experimental result shows that GPU can solve this problem more efficiently when we need to divide calculation material into a large number of meshes. 相似文献
Haze removal is an interesting topic in multimedia and image processing for many applications. Specially for the automatic piloting of ships, the haze removal technology for aqueous vapour regions plays a key role in safe piloting. However, the existing haze removal methods did not dehaze well for these areas. Based on this motive, this paper presents a new haze removal approach to improve the dehazing effect for aqueous vapour regions, in which we design two new computing mechanisms. The first one is to propose a new gradient change model of the dark channel value related to aqueous vapour regions. The second one is to design an optimized and iterated correction method for the dark channel of aqueous vapour regions. Finally, based on these two computing mechanisms, a dynamic iterative optimal correction model is presented to solve the proposed method. Both the visual and the quantitative experiments demonstrate the proposed method outperforms both the family methods of dark channel prior and the deep learning-based methods in aqueous vapour regions. In conclusion, the proposed method can effectively remove the haze in aqueous vapour regions.