Selecting the best views for 3D objects is useful for many applications. However, with the existing methods applied in CAD models, the results neither exhibit the 3D structures of the models fairly nor conform to huma...
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This paper presents a new multi-resolution mesh fitting algorithm, extending the adaptive patch-based fitting scheme where each underlying quadrilateral is recursively subdivided into four sub-patches. In this paper, ...
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Color mapping plays a critical role in visualization of time-varying data and also sets a challenge for researchers due to the consistency of mapping and great changes in time-varying data. In order to solve this prob...
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Feature selection has become very important research in musical instruments sounds for handling the problem of 'curse of dimensionality'. In literature, various feature selection techniques have been applied i...
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This paper presents an improvement to the stochastic progressive photon mapping (SPPM), a method for robustly simulating complex global illumination with distributed ray tracing effects. Normally, similar to photon ma...
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COQ is an interactive theorem proving tool. The paper abstractly describes the feature of COQ, the architecture and working modes of PLC program with the example of typical PLC. It also introduces the first-order logi...
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COQ is an interactive theorem proving tool. The paper abstractly describes the feature of COQ, the architecture and working modes of PLC program with the example of typical PLC. It also introduces the first-order logic syntax and semantics of Intuitionistic Logic. It briefly introduces the main Gallina language syntax elements, the corresponding use methods and main theorem proving tactic on COQ. The work has modeled kernel data type and basic statements and and the denotational semantics of PLC program with Gallina. It has given the correctness proof of PLC program based on theorem proving, i.e. based on semantics function the relationship of configuration between the before codes execution and the after is proved. The main purpose is to prove whether a PLC program satisfies certain nature within a scan period.
Compared with the CSG-based approach, the Brep-based approach has several advantages to construct 3D models from 2D engineering drawings, such as the structure is simpler and the domain of objects that can be handled ...
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Minimal visual coverage path problem has wide applications, such as selecting the marching route and searching the smuggler's path. Average horizon of a path, which is the ratio of its visual coverage to its lengt...
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Minimal visual coverage path problem has wide applications, such as selecting the marching route and searching the smuggler's path. Average horizon of a path, which is the ratio of its visual coverage to its length, can be used to measure how covert a path is. If there are loops in a path, the path is meaningless though its average horizon is small due to its infinite length. A compromise is to modify the objective of minimal average horizon as the ratio of the length to the invisible region of the path where minimal length and minimal view shed can be satisfied simultaneously. However, the modified objective is not completely equivalent with average horizon. This study treats two elements of average horizon as two objectives and presents a multi-objective evolutionary algorithm for the minimal path visual coverage problem with single objective. By multiobjectivizating as well as the proper chromosome structure and effective operators, the method presented is superior to the simulated annealing algorithm and the evolutionary algorithm for single objective with respect to both higher quality of the solution and less computation time.
Pseudo recognition is essential to reconstruct correct 3D models from engineering drawings. This paper proposes a novel linear algorithm to recognize pseudo elements based on the existence of non-manifold edges. First...
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In this paper, the minimal visual coverage shortest path in raster terrain is studied with the proposal of a hypervolume contribution based multiobjective evolutionary approach. The main feature of the presented metho...
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In this paper, the minimal visual coverage shortest path in raster terrain is studied with the proposal of a hypervolume contribution based multiobjective evolutionary approach. The main feature of the presented method is that all individuals in the population are periodically replaced by the selected non-dominated candidates in the archive based on hypervolume contribution, besides the well designed evolutionary operators and some popular techniques such as dominated relation and archive. Our algorithm may obtain well distributed Pareto set approximation efficiently, which is superior to the implementations based on the framework of NSGA-II and SMS EMOA with respect to the hypervolume.
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