Model Description Method Research Articles

Design of real-time target location algorithm for industrial scene

Abstract In order to meet the needs of real-time visual inspection of workpiece targets in industrial environment. In this paper an algorithm for locating workpiece based on edge feature is designed by using image information. At the same time, a model description method based on generalized Hough model and an acceleration strategy based on pyramid search are proposed to solve the problem of insufficient real-time performance of the algorithm. The algorithm is mainly divided into two stages. First, in the offline stage matching model is created. In the online stage, according to the model created in advance, the pyramid based accelerated search strategy is used to match, and the parallel computing method is adopted to calculate the similarity. Experimental results show that the algorithm has strong anti-occlusion and anti-interference ability, and can achieve real-time target positioning under any Angle and coordinates. At the same time, it is proved that the proposed acceleration strategy has better acceleration performance than the existing matching speed method.

Solution to Model Consistency in Equipment Support Simulation

In order to solve the problem of multi view inconsistency in equipment support simulation, a semantic oriented MCM method based on ontology model is proposed. Firstly, the rules of extracting the basic elements of the model are given. Secondly, the algorithm description of ontology mapping is given. Finally, each meta concept in the domain is described by some model description method to form the corresponding description model.

Geometric optimization of building information models in MEP projects: Algorithms and techniques for improving storage, transmission and display

Abstract Mechanical, Electrical and Plumbing (MEP) models are generally characterized by information redundancy and a high density of irregularly shaped components. Consequently, they require large storage spaces and are not conducive for interchange purposes. Geometric optimization of MEP models can play a significant role in facilitating model exchange and handover by increasing storage, transmission and display efficiency. To date, the body of knowledge on such geometric optimization, unfortunately, is still very narrow. This paper presents and tests a solution for the optimization of storage, transmission, and display of MEP models. Storage optimization was achieved through a mapping-based model description method and a novel Quadric-Error-Metric (QEM) mesh simplification algorithm, reducing required storage while maintaining the contour of components. For transmission optimization, a normal vector compression algorithm and a fixed-dictionary specific compression algorithm were proposed to achieve efficient compression of data thus, fulfilling the need for cross-platform interchange. Display optimization was obtained through a normal vector regeneration algorithm for clustering triangle meshes to improve 3D display effects. The evaluation of the solution, performed for each individual component separately as well as for an entire solution, proved successful. Volume of storage data was reduced by 40% to 50% through mesh simplification. Data transmission volume was reduced by more than 80% for components with complicated geometry without affecting the topology of the components. Finally, the display process was capable of decreasing the number of triangles and delivering very good quality of displayed models.

Simulation of Compound Hierarchical Models in R

Hierarchical probability models are widely used in insurance applications for data classified in a tree-like structure and in Bayesian inference. We propose an R function to simulate data from compound models in which both the frequency component and the severity component can have a hierarchical structure. The model description method is based solely on R expressions, and it allows for models with any number of levels and nodes per level, as well as with very general conditional probability structures. The function is part of the R package actuar.

Model Description Method of AC Motors Using 3×3 Balanced Circular Matrices

This paper presents a new model description method for AC motors such as salient-pole synchronous motor, synchronous reluctance motor and induction motor. The method uses specific 3×3 balanced circular matrices together with 3×l balanced vector signals. It does not require concept of rotational orthogonal coordinates but has the same vector description form as the orthogonal coordinates. The method is useful for easy comprehension of motor dynamics especially by students and engineering-beginners.