CELLULAR AUTOMATA AS A COMPUTATIONAL MODEL FOR LOW-LEVEL VISION

1993 ◽  
Vol 04 (01) ◽  
pp. 5-16 ◽  
Author(s):  
ALBERTO BROGGI ◽  
VINCENZO D'ANDREA ◽  
GIULIO DESTRI
Keyword(s):  
Cellular Automata ◽  
Computational Model ◽  
Ad Hoc ◽  
Parallel Architecture ◽  
General Purpose ◽  
Massively Parallel ◽  
Low Level ◽  
Actual Application ◽  
Computer Vision Applications ◽  
Hard Real Time

In this paper we discuss the use of the Cellular Automata (CA) computational model in computer vision applications on massively parallel architectures. Motivations and guidelines of this approach to low-level vision in the frame of the PROMETHEUS project are discussed. The hard real-time requirement of actual application can be only satisfied using an ad hoc VLSI massively parallel architecture (PAPRICA). The hardware solutions and the specific algorithms can be efficiently verified and tested only using, as a simulator, a general purpose machine with a parent architecture (CM-2). An example of application related to feature extraction is discussed.

Design of a Novel Parallel Mechanism for Haptic Device

2021 ◽  
pp. 1-63
Author(s):  
Jin Lixing ◽  
Duan Xingguang ◽  
Li Changsheng ◽  
Shi Qingxin ◽  
Wen Hao ◽  
...  
Keyword(s):  
Parallel Mechanism ◽  
Degrees Of Freedom ◽  
Force Feedback ◽  
Parallel Architecture ◽  
General Purpose ◽  
Haptic Device ◽  
Haptic Devices ◽  
Modeling And Optimization ◽  
Teleoperation Systems

Abstract This paper presents a novel parallel architecture with seven active degrees of freedom (DOFs) for general-purpose haptic devices. The prime features of the proposed mechanism are partial decoupling, large dexterous working area, and fixed actuators. The detailed processes of design, modeling, and optimization are introduced and the performance is simulated. After that, a mechanical prototype is fabricated and tested. Results of the simulations and experiments reveal that the proposed mechanism possesses excellent performances on motion flexibility and force feedback. This paper aims to provide a remarkable solution of the general-purpose haptic device for teleoperation systems with uncertain mission in complex applications.

Numerical Simulation of Inner Support for Excavation Based on FEM Software ABAQUS

2012 ◽  
Vol 236-237 ◽  
pp. 632-635
Author(s):  
Yue Sun ◽  
Yue Nan Chen ◽  
Zhi Yun Wang
Keyword(s):  
Numerical Simulation ◽  
Finite Element ◽  
Computational Model ◽  
Dimensional Space ◽  
General Purpose ◽  
Two Dimensional ◽  
Clay Layer ◽  
Finite Element Software ◽  
Spring Element

In two-dimensional space, an elasto-plastic finite element computational model was established to simulate inner support for excavation on the basis of the general-purpose finite element software ABAQUS. The soil was assumed to be a uniform and normally consolidated clay layer and strut was discreted by spring element. Compared with published case study, it can be concluded that FEM software AQAQUS can present one reliable simulation progress of inner support for excavation.

ON MODELING ENVIRONMENTALLY-SENSITIVE GROWTH FORMS AND CELLULAR AUTOMATA USING MULTISET TRANSFORMATION

Fractals ◽  
1996 ◽  
Vol 04 (04) ◽  
pp. 509-520 ◽  
Author(s):  
HUGH McEVOY ◽  
JAAP A. KAANDORP
Keyword(s):  
Cellular Automata ◽  
Computational Model ◽  
Geometric Constraints ◽  
Growth Forms ◽  
Environmental Sensitivity ◽  
Growth Processes ◽  
Artificial Structures ◽  
Environmentally Sensitive ◽  
Modeling Growth

We demonstrate the usefulness of multiset transformation for modeling growth processes which combine generational growth with environmental-sensitivity (such as photo-sensitivity and geometric constraints). Our examples are artificial structures with no immediate counterpart in physics and biology. However, our studies are intended to show the feasibility of multiset transformation for more realistic models. We show that multiset transformation is useful both as a formal and a computational model of growth processes.

A Quick Presentation of Evolutionary Computation

2010 ◽  
pp. 22-38
Author(s):  
Pierre Collet
Keyword(s):  
Evolutionary Computation ◽  
Random Search ◽  
Optimization Technique ◽  
Parallel Architecture ◽  
Optimization Methods ◽  
General Purpose ◽  
Old Field ◽  
Multiple Data ◽  
Intractable Problems ◽  
The 1960S

Evolutionary computation is an old field of computer science, that started in the 1960s nearly simultaneously in different parts of the world. It is an optimization technique that mimics the principles of Darwinian evolution in order to find good solutions to intractable problems faster than a random search. Artificial Evolution is only one among many stochastic optimization methods, but recently developed hardware (General Purpose Graphic Processing Units or GPGPU) gives it a tremendous edge over all the other algorithms, because its inherently parallel nature can directly benefit from the difficult to use Single Instruction Multiple Data parallel architecture of these cheap, yet very powerful cards.

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