Computational Support for Interactive Cable Harness Routing and Design

1993 ◽  
Author(s):  
Andrew B. Conru ◽  
Mark R. Cutkosky
Keyword(s):  
Cost Function ◽  
Topological Structure ◽  
Three Dimensional ◽  
Initial Guess ◽  
Local Minima ◽  
Cable Harness ◽  
Physical Constraints ◽  
Computational Support ◽  
Bending Radius

Abstract We describe a system for routing cable harnesses in complex, three-dimensional environments. The approach taken is to automate the basic routing process as much as possible, while allowing designers to guide the system and modify the numerically generated results at any stage. The system begins by quickly generating a coarse routing based on an initial guess of the cable harness configuration (topological structure). Paths are then successively refined to minimize a cost function, while satisfying physical constraints such as minimum bending radius. Human input is useful both for guiding the system away from local minima and for responding to case-specific constraints not encoded in the router.

scholarly journals Multi-Branch Cable Harness Layout Design Based on Genetic Algorithm with Probabilistic Roadmap Method

2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Yingfeng Zhao ◽  
Jianhua Liu ◽  
Jiangtao Ma ◽  
Linlin Wu
Keyword(s):  
Genetic Algorithm ◽  
Topological Structure ◽  
Design Method ◽  
Route Planning ◽  
Layout Design ◽  
Structure Design ◽  
Prototype System ◽  
Cable Harness ◽  
Probabilistic Roadmap ◽  
Probabilistic Roadmap Method

AbstractCurrent studies on cable harness layouts have mainly focused on cable harness route planning. However, the topological structure of a cable harness is also extremely complex, and the branch structure of the cable harness can affect the route of the cable harness layout. The topological structure design of the cable harness is a key to such a layout. In this paper, a novel multi-branch cable harness layout design method is presented, which unites the probabilistic roadmap method (PRM) and the genetic algorithm. First, the engineering constraints of the cable harness layout are presented. An obstacle-based PRM used to construct non-interference and near to the surface roadmap is then described. In addition, a new genetic algorithm is proposed, and the algorithm structure of which is redesigned. In addition, the operation probability formula related to fitness is proposed to promote the efficiency of the branch structure design of the cable harness. A prototype system of a cable harness layout design was developed based on the method described in this study, and the method is applied to two scenarios to verify that a quality cable harness layout can be efficiently obtained using the proposed method. In summary, the cable harness layout design method described in this study can be used to quickly design a reasonable topological structure of a cable harness and to search for the corresponding routes of such a harness.

Error Analysis of Neural Network with Rational Spline Weight Function

2014 ◽  
Vol 644-650 ◽  
pp. 2407-2410
Author(s):  
Dai Yuan Zhang ◽  
Jia Kai Wang
Keyword(s):  
Neural Network ◽  
Weight Function ◽  
Topological Structure ◽  
High Accuracy ◽  
Local Minima ◽  
Slow Convergence ◽  
Rational Spline ◽  
Fast Learning ◽  
Learning Speed ◽  
Training Neural Network

Training neural network by spline weight function (SWF) has overcomed many defects of traditional neural networks (such as local minima, slow convergence and so on). It becomes more important because of its simply topological structure, fast learning speed and high accuracy. To generalize the SWF algorithm, this paper introduces a kind of rational spline weight function neural network and analyzes the performance of approximation for this neural network.

scholarly journals XRSISE: An XR Training System for Interactive Simulation and Ergonomics Assessment

2021 ◽  
Vol 2 ◽  
Author(s):  
Michail Pavlou ◽  
Dimitrios Laskos ◽  
Evangelia I. Zacharaki ◽  
Konstantinos Risvas ◽  
Konstantinos Moustakas
Keyword(s):  
Virtual World ◽  
Three Dimensional ◽  
Cost Effective ◽  
Knowledge Retention ◽  
Training System ◽  
Human Model ◽  
Interactive Simulation ◽  
Industrial Training ◽  
The Real ◽  
Physical Constraints

The use of virtual reality (VR) techniques for industrial training provides a safe and cost effective solution that contributes to increased engagement and knowledge retention levels. However, the process of experiential learning in a virtual world without biophysical constraints might contribute to muscle strain and discomfort, if ergonomic risk factors are not considered in advance. Under this scope, we have developed a digital platform which employs extended reality (XR) technologies for the creation and delivery of industrial training programs, by taking into account the users and workplace specificities through the adaptation of the 3D virtual world to the real environment. Our conceptual framework is composed of several inter-related modules: 1) the XR tutorial creation module, for automatic recognition of the sequence of actions composing a complex scenario while this is demonstrated by the educator in VR, 2) the XR tutorial execution module, for the delivery of visually guided and personalized XR training experiences, 3) the digital human model (DHM) based simulation module for creation and demonstration of job task simulations avoiding the need of an actual user and 4) the biophysics assessment module for ergonomics analysis given the input received from the other modules. Three-dimensional reconstruction and aligned projection of the objects situated in the real scene facilitated the imposition of inherent physical constraints, thereby allowed to seamlessly blend the virtual with the real world without losing the sense of presence.

AN OVERVIEW OF TECHNIQUES FOR PARTITIONING MULTICHIP MODULES

1995 ◽  
Vol 06 (04) ◽  
pp. 539-553 ◽  
Author(s):  
S. RAMAN ◽  
L.M. PATNAIK
Keyword(s):  
Genetic Algorithms ◽  
Cost Function ◽  
Design Process ◽  
Multichip Module ◽  
Multichip Modules ◽  
Physical Constraints ◽  
Performance Requirements ◽  
Partitioning Problem

With the increasing popularity of Multichip Modules and the increasing complexity of circuit designs, there is a need to address issues in automating the design process for MCMs. In this paper, we address one such issue, that of dividing a complex circuit into partitions that can be assigned to chips on a Multichip Module. Partitioning is usually carried out to minimize a cost function in the presence of physical constraints that depend on the performance requirements of the circuit. We survey the existing algorithms for the partitioning problem and describe in detail an approach to partitioning based on Genetic Algorithms.

scholarly journals The extruded non-template strand determines the architecture of R-loops

2019 ◽  
Vol 47 (13) ◽  
pp. 6783-6795 ◽  
Author(s):  
Yeraldinne Carrasco-Salas ◽  
Amélie Malapert ◽  
Shaheen Sulthana ◽  
Bastien Molcrette ◽  
Léa Chazot-Franguiadakis ◽  
...  
Keyword(s):  
Single Molecule ◽  
Genome Stability ◽  
Three Dimensional ◽  
Dna Breaks ◽  
Yeast Gene ◽  
Physical Constraints ◽  
Force Microscopy ◽  
Template Strand ◽  
Atomic Force

Abstract Three-stranded R-loop structures have been associated with genomic instability phenotypes. What underlies their wide-ranging effects on genome stability remains poorly understood. Here we combined biochemical and atomic force microscopy approaches with single molecule R-loop footprinting to demonstrate that R-loops formed at the model Airn locus in vitro adopt a defined set of three-dimensional conformations characterized by distinct shapes and volumes, which we call R-loop objects. Interestingly, we show that these R-loop objects impose specific physical constraints on the DNA, as revealed by the presence of stereotypical angles in the surrounding DNA. Biochemical probing and mutagenesis experiments revealed that the formation of R-loop objects at Airn is dictated by the extruded non-template strand, suggesting that R-loops possess intrinsic sequence-driven properties. Consistent with this, we show that R-loops formed at the fission yeast gene sum3 do not form detectable R-loop objects. Our results reveal that R-loops differ by their architectures and that the organization of the non-template strand is a fundamental characteristic of R-loops, which could explain that only a subset of R-loops is associated with replication-dependent DNA breaks.

Fast Registration of Three-Dimensional Laser Scans without Initial Guess

2014 ◽  
Vol 58 (6) ◽  
pp. 604031-604036 ◽  
Author(s):  
Frank Neuhaus ◽  
Andreas Mützel ◽  
Dietrich Paulus
Keyword(s):  
Three Dimensional ◽  
Initial Guess
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