A5046774978- Optimization and Packing Problems
- Computational Geometry and Mesh Generation
- Advanced Manufacturing and Logistics Optimization
- Electrical and Bioimpedance Tomography
- Computer Graphics and Visualization Techniques
- Geophysical and Geoelectrical Methods
- Manufacturing Process and Optimization
- Robotic Path Planning Algorithms
- Flow Measurement and Analysis
- Advanced Vision and Imaging
- Non-Destructive Testing Techniques
- 3D Surveying and Cultural Heritage
- 3D Shape Modeling and Analysis
- Advanced Numerical Analysis Techniques
- Robotics and Sensor-Based Localization
- Optical measurement and interference techniques
- Underwater Vehicles and Communication Systems
- Advanced Image and Video Retrieval Techniques
- Digital Image Processing Techniques
- Smart Agriculture and AI
- Fish Ecology and Management Studies
- Aquatic Ecosystems and Phytoplankton Dynamics
- Image and Object Detection Techniques
- Parallel Computing and Optimization Techniques
- Electric Vehicles and Infrastructure
Universidade de São Paulo
2011-2020
Universidade Federal do Rio de Janeiro
2020
Electrical impedance tomography (EIT) is an imaging technique that attempts to reconstruct the distribution inside object from between electrodes placed on surface. The EIT reconstruction problem can be approached as a nonlinear nonconvex optimization in which one tries maximize matching simulated and observed data. This often ill-posed, not very suited methods evaluate derivatives of objective function. It may by annealing (SA), but at large computational cost due expensive evaluation...
The EIT reconstruction problem is approached as an optimization where the difference between a simulated impedance domain and observed one minimized. This often solved by Simulated Annealing (SA), but at large computational cost due to expensive evaluation process of objective function. We propose here, variation SA applied function evaluated only partially, while ensuring upper boundaries on deviation behavior modified SA. method with experimental data.
Electrical Impedance Tomography (EIT) image reconstruction can be approached as an optimization problem, intending to minimize the Euclidean distance between potential values measured in cross section of body and calculated values, for every pattern current applied, through modelling problem by Finite Elements Method (FEM). This formulation is known ill-posed, which increases dependence EIT on algorithm, must have a regularization technique improve conditioning problem. Therefore, this...
The irregular nesting problem, a subset of cutting and packing problems, aims to minimise waste or unoccupied space inside container is found in wood, glass, shipbuilding textile industries. problem consists finding the most compact arrangement two-dimensional items rectangular without overlap. length variable up four different orientations are allowed for each item. Overlap avoided by using constructive placement heuristic which places one at time, colliding with other items. proposed...
This work deals with the problem of minimizing waste space that occurs on a rotational placement set irregular bi-dimensional small items inside large object. is approached an heuristic based simulated annealing. Traditional " external penalization" techniques are avoided through application no-fit polygon, determinates collision-free region for each item before its placement. The annealing controls: rotation applied and item. For non-placed item, limited depth binary search performed to...
The EIT reconstruction problem can be solved as an optimization where the divergence between a simulated impedance domain and observed one is minimized. This by combination of Simulated Annealing (SA) for Finite Element Method (FEM) simulation domain. has usually very high computational cost, since SA requires elevated number objective function evaluations those, obtained through FEM, are often expansive enough to make whole process inviable. In here it presented new approach image...
The EIT reconstruction problem can be solved as an optimization using Simulated Annealing. Different objective functions have already been used: Euclidian distance between the simulated and observed potentials; total least squares error minimization. function was partially evaluated in both methods. In this paper, a new image method that combines best characteristics from described methods is proposed. cost smaller when compared to each one alone. A denser mesh used, regularization adopted...
The purpose of this work is to define a new algorithm for converting CSG representation into B-Rep representation. Usually conversion done determining the union, intersection or difference from two represented solids. Due lack explicit surface boundaries, models must be converted solid when description based on polygonal mesh required. A potential solution convert model voxel volume and then construct model. This method called voxelization, conceptually it set membership classification...
Aquaculture is an activity that growing 10% a year in Brazil and still occupies less than 1% of the area reserved for fish farming, which shows great productive potential Brazil. With this growth, many challenges are emerging advances being made. One technology they starting to use Brazilian farms stereo cameras can evaluate average weight Nile tilapia tank. This estimation based on its 3D length, but one most correlated information with width. Thus, objective work improve using by...
The determination of an approximation curve from a given sequence points is important task in CAD. This work proposes algorithm to determine piecewise Bezier that approximates points. It used multiobjective simulated annealing aiming at minimizing the discrepancy between and curve, length absolute difference determined by sum distance each point enhanced method which discretized.
Cutting and packing (C&P) is an important area of operational research its problems arise in various industries such as: textile, wood, glass shipbuilding. The main objective to maximize the efficiency a layout by rearranging and/or reassigning items inside containers order reduce costs environmental impact. In this work, raster solution bidimensional irregular strip problem, which consists placing shapes single rectangular container with variable length, studied. methods, selection grid...