The Experts below are selected from a list of 2013 Experts worldwide ranked by ideXlab platform
Kaoru Hirota - One of the best experts on this subject based on the ideXlab platform.
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FUZZ-IEEE - Refinement geometric algorithms for type-2 fuzzy set operations
2009 IEEE International Conference on Fuzzy Systems, 2009Co-Authors: Phuong Hoang Nguyen, Kaoru HirotaAbstract:The paper deals with an approach to applications of e-approximate representation of type-2 fuzzy sets using Triangulated Irregular Network (TIN). Geometric algorithms are designed for operations of type-2 fuzzy sets without using manner of upper or lower surfaces. Operations involving meet under minimum, join under minimum, negation, inference process of type-2 fuzzy sets are presented as applications of geometric representation to operations of type-2 fuzzy sets.
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on approximate representation of type 2 fuzzy sets using Triangulated Irregular Network
Soft Computing, 2007Co-Authors: Phuong Hoang Nguyen, Kaoru HirotaAbstract:The type-2 fuzzy sets was extended of original fuzzy sets and there are many researches related to type-2 fuzzy sets and fuzzy logic systems (FLS), recently. The paper deals with the approximate presentation of type-2 fuzzy sets and operations by using Triangulated Irregular Networks (TIN). TIN usually used to represent approximate 3-D surfaces with applications in computer graphics. By using TINs and half-edge structure, authors proposed representation and operations of type-2 fuzzy sets based on this approach. Some results compared with original approaches are shown to confirm the approach be good and correctly.
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IFSA (1) - On Approximate Representation of Type-2 Fuzzy Sets Using Triangulated Irregular Network
Lecture Notes in Computer Science, 2007Co-Authors: Phuong Hoang Nguyen, Kaoru HirotaAbstract:The type-2 fuzzy sets was extended of original fuzzy sets and there are many researches related to type-2 fuzzy sets and fuzzy logic systems (FLS), recently. The paper deals with the approximate presentation of type-2 fuzzy sets and operations by using Triangulated Irregular Networks (TIN). TIN usually used to represent approximate 3-D surfaces with applications in computer graphics. By using TINs and half-edge structure, authors proposed representation and operations of type-2 fuzzy sets based on this approach. Some results compared with original approaches are shown to confirm the approach be good and correctly.
Phuong Hoang Nguyen - One of the best experts on this subject based on the ideXlab platform.
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FUZZ-IEEE - Refinement geometric algorithms for type-2 fuzzy set operations
2009 IEEE International Conference on Fuzzy Systems, 2009Co-Authors: Phuong Hoang Nguyen, Kaoru HirotaAbstract:The paper deals with an approach to applications of e-approximate representation of type-2 fuzzy sets using Triangulated Irregular Network (TIN). Geometric algorithms are designed for operations of type-2 fuzzy sets without using manner of upper or lower surfaces. Operations involving meet under minimum, join under minimum, negation, inference process of type-2 fuzzy sets are presented as applications of geometric representation to operations of type-2 fuzzy sets.
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on approximate representation of type 2 fuzzy sets using Triangulated Irregular Network
Soft Computing, 2007Co-Authors: Phuong Hoang Nguyen, Kaoru HirotaAbstract:The type-2 fuzzy sets was extended of original fuzzy sets and there are many researches related to type-2 fuzzy sets and fuzzy logic systems (FLS), recently. The paper deals with the approximate presentation of type-2 fuzzy sets and operations by using Triangulated Irregular Networks (TIN). TIN usually used to represent approximate 3-D surfaces with applications in computer graphics. By using TINs and half-edge structure, authors proposed representation and operations of type-2 fuzzy sets based on this approach. Some results compared with original approaches are shown to confirm the approach be good and correctly.
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IFSA (1) - On Approximate Representation of Type-2 Fuzzy Sets Using Triangulated Irregular Network
Lecture Notes in Computer Science, 2007Co-Authors: Phuong Hoang Nguyen, Kaoru HirotaAbstract:The type-2 fuzzy sets was extended of original fuzzy sets and there are many researches related to type-2 fuzzy sets and fuzzy logic systems (FLS), recently. The paper deals with the approximate presentation of type-2 fuzzy sets and operations by using Triangulated Irregular Networks (TIN). TIN usually used to represent approximate 3-D surfaces with applications in computer graphics. By using TINs and half-edge structure, authors proposed representation and operations of type-2 fuzzy sets based on this approach. Some results compared with original approaches are shown to confirm the approach be good and correctly.
Ahmed El-hattab - One of the best experts on this subject based on the ideXlab platform.
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Single beam bathymetric data modelling techniques for accurate maintenance dredging
The Egyptian Journal of Remote Sensing and Space Science, 2014Co-Authors: Ahmed El-hattabAbstract:Abstract Most ports have dredged channels, berths and anchorages. Such infrastructure suffers from siltation which reduces the depth available for shipping, at which, maintenance dredging is required. Accurate bathymetric data modelling is important to control the maintenance dredging in real time and reduce the possible extra cost due to the unpaid over-dredging. In this study, twelve of digital terrain modelling interpolation techniques have been investigated using the data obtained from Port Said East Port maintenance project to conclude the most accurate and fastest ones that can be applied during maintenance dredging projects. The results showed that a Triangulated Irregular Network and natural neighbour interpolation techniques were the optimal choice since they produce the least Root Mean Square Error (RMSE) of 0.16 m at 10 m grid size. For real-time digital terrain modelling applications, it is concluded that a Triangulated Irregular Network technique could be used. It was the fastest interpolation technique where only 0.35 s is needed to create a model with 5 m grid size. Natural neighbour was the next fastest technique where 5.21 s were required to create the model.
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Single beam bathymetric data modelling techniques for accurate maintenance dredging
The Egyptian Journal of Remote Sensing and Space Science, 2014Co-Authors: Ahmed El-hattabAbstract:Abstract Most ports have dredged channels, berths and anchorages. Such infrastructure suffers from siltation which reduces the depth available for shipping, at which, maintenance dredging is required. Accurate bathymetric data modelling is important to control the maintenance dredging in real time and reduce the possible extra cost due to the unpaid over-dredging. In this study, twelve of digital terrain modelling interpolation techniques have been investigated using the data obtained from Port Said East Port maintenance project to conclude the most accurate and fastest ones that can be applied during maintenance dredging projects. The results showed that a Triangulated Irregular Network and natural neighbour interpolation techniques were the optimal choice since they produce the least Root Mean Square Error (RMSE) of 0.16 m at 10 m grid size. For real-time digital terrain modelling applications, it is concluded that a Triangulated Irregular Network technique could be used. It was the fastest interpolation technique where only 0.35 s is needed to create a model with 5 m grid size. Natural neighbour was the next fastest technique where 5.21 s were required to create the model.
Dara Entekhabi - One of the best experts on this subject based on the ideXlab platform.
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Catchment hydrologic response with a fully distributed Triangulated Irregular Network model
Water Resources Research, 2004Co-Authors: Valeriy Y. Ivanov, Rafael L. Bras, Enrique R Vivoni, Dara EntekhabiAbstract:This study explores various aspects of catchment hydrology based on a mechanistic modeling of distributed watershed processes. A new physics-based, distributed-parameter hydrological model that uses an Irregular spatial discretization is introduced. The model accounts, on a continuous basis, for the processes of rainfall interception, evapotranspiration, moisture dynamics in the unsaturated and saturated zones, and runoff routing. Simulations of several mid- to large-sized watersheds (∼103 km2) highlight various dynamic relationships between the vadose zone-groundwater processes and their dependence on the land surface characteristics. It is argued that the model inferences can be used for interpretation of distributed relationships in a catchment. By exploiting a multiple-resolution representation, the hydrologic features of the watershed terrain are captured with only 5-10% of the original grid nodes. This computational efficiency suggests the feasibility of the operational use of fully distributed, physics-based models for large watersheds.
M A Jinjin - One of the best experts on this subject based on the ideXlab platform.
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fast voxelization based on Triangulated Irregular Network model
Journal of Computer Applications, 2010Co-Authors: M A JinjinAbstract:In order to improve the voxelization efficiency of large data,a fast and simple voxelization algorithm was proposed for the Triangulated Irregular Network(TIN) model.The surface voxelization was realized by dividing triangular facets,which could convert surface voxelization to points voxelization.Then,the solid voxelization was realized by using the theory of depth buffer to quickly search initial seed.The experimental results show that for the complex and precise TIN model,a voxel model of 26-connected which is approached to original model can be efficiently generated,and it has a high time efficiency.
