Initial Design Strategies for Iterative Design

Author(s):  
Natarajan Ramachandran ◽  
Noshir A. Langrana ◽  
Louis Steinberg

Abstract This paper discusses methods to retrieve design(s) from a design library in order to achieve a better initial starting point for the iterative model of the design process. The motivation for doing this is to reduce the extensive analysis time required for many iterative design problems. Starting a design at a favorable initial point should help reduce the number of iterations. Four initial design methods have been investigated varying from a simple non-library method to methods that use designs from a library. To evaluate the effectiveness of these methods, the initial design methods were tested on four example problems. They are, a cantilever beam, a gear-pair, a v-belt and an extruder-die. It was found that the number of iterations reduced approximately as 1/n, where n is the number of stored values in the design library.

2015 ◽  
Vol 5 (1) ◽  
pp. 98
Author(s):  
M. P. Iwundu ◽  
S. U. Ekpo

The starting point of search is an important factor in optimal design construction as a poor starting point may require a longer time before convergence is reached. Hence the location of the initial design points for use in the Quick Convergent Inflow Algorithm on segmented regions is examined with the aim of developing useful criteria for identifying the initial design points. Proportional allocation of design points to go into the initial design measures is proposed. The allocation of 100% vertex points, 100% boundary points and 100% boundary points as well as the allocation of 50% vertex and 50% boundary points, 50% vertex and 50% interior points and 50% interior and 50% boundary points are investigated. Results show that a combination of design points comprising of 50% vertex points and 50% interior points or 50% vertex points and 50% boundary points forms helpful rules in identifying the initial design points for use in the Quick Convergent Inflow Algorithm. With these combinations, a moderate number of iterations needed to reach the required optimal or near-optimal solution is maintained.


1992 ◽  
Vol 4 (3) ◽  
pp. 159-169 ◽  
Author(s):  
Natarajan Ramachandran ◽  
Noshir A. Langrana ◽  
Louis I. Steinberg ◽  
Vikram R. Jamalabad

Entropy ◽  
2021 ◽  
Vol 23 (4) ◽  
pp. 465
Author(s):  
Agnieszka Prusińska ◽  
Krzysztof Szkatuła ◽  
Alexey Tret’yakov

This paper proposes a method for solving optimisation problems involving piecewise quadratic functions. The method provides a solution in a finite number of iterations, and the computational complexity of the proposed method is locally polynomial of the problem dimension, i.e., if the initial point belongs to the sufficiently small neighbourhood of the solution set. Proposed method could be applied for solving large systems of linear inequalities.


2021 ◽  
pp. 1-20
Author(s):  
Gui Shun

Abstract Exploring the locomotion of creatures is a challenging task in bionic robots, and the existing iterative design methods are mainly based on one or two characteristics to optimize robots. However, it is hard to obtain other features. Here, we introduced the thinking of system identification theory to the bionic robots, averting the exploration of the dynamics and reducing the difficulty of design greatly. A one-DOF six-bar mechanism (Watt I) was designated as the model to be identified, and it was divided into two parts, i.e. a one-DOF four-bar linkage and a three-DOF series arm. Then we formed constraints and a loss function. The parameters of the model were identified based on the kinematic data of a marmoset jumping. As a result, we obtained the desired model. Then, a prototype derived from the model was fabricated, and the experiments verified the effectiveness of the method. Our method also can be applied to other motion simulation scenarios.


2021 ◽  
Vol 20 ◽  
pp. 133-139
Author(s):  
Alexander Zemliak

The different design trajectories have been analyzed in the design space on the basis of the new system design methodology. Optimal position of the design algorithm start point was analyzed to minimize the CPU time. The initial point selection has been done on the basis of the before discovered acceleration effect of the system design process. The geometrical dividing surface was defined and analyzed to obtain the optimal position of the algorithm start point. The numerical results of the design of passive and active nonlinear electronic circuits confirm the possibility of the optimal selection of the starting point of the design algorithm.


mSphere ◽  
2021 ◽  
Vol 6 (3) ◽  
Author(s):  
Mohamed M. Tawfik ◽  
Magnus Bertelsen ◽  
Mohamed A. Abdel-Rahman ◽  
Peter N. Strong ◽  
Keith Miller

ABSTRACT The increasing development of microbial resistance to classical antimicrobial agents has led to the search for novel antimicrobials. Antimicrobial peptides (AMPs) derived from scorpion and snake venoms offer an attractive source for the development of novel therapeutics. Smp24 (24 amino acids [aa]) and Smp43 (43 aa) are broad-spectrum AMPs that have been identified from the venom gland of the Egyptian scorpion Scorpio maurus palmatus and subsequently characterized. Using a DNA microarray approach, we examined the transcriptomic responses of Escherichia coli to subinhibitory concentrations of Smp24 and Smp43 peptides following 5 h of incubation. Seventy-two genes were downregulated by Smp24, and 79 genes were downregulated by Smp43. Of these genes, 14 genes were downregulated in common and were associated with bacterial respiration. Fifty-two genes were specifically upregulated by Smp24. These genes were predominantly related to cation transport, particularly iron transport. Three diverse genes were independently upregulated by Smp43. Strains with knockouts of differentially regulated genes were screened to assess the effect on susceptibility to Smp peptides. Ten mutants in the knockout library had increased levels of resistance to Smp24. These genes were predominantly associated with cation transport and binding. Two mutants increased resistance to Smp43. There was no cross-resistance in mutants resistant to Smp24 or Smp43. Five mutants showed increased susceptibility to Smp24, and seven mutants showed increased susceptibility to Smp43. Of these mutants, formate dehydrogenase knockout (fdnG) resulted in increased susceptibility to both peptides. While the electrostatic association between pore-forming AMPs and bacterial membranes followed by integration of the peptide into the membrane is the initial starting point, it is clear that there are numerous subsequent additional intracellular mechanisms that contribute to their overall antimicrobial effect. IMPORTANCE The development of life-threatening resistance of pathogenic bacteria to the antibiotics typically in use in hospitals and the community today has led to an urgent need to discover novel antimicrobial agents with different mechanisms of action. As an ancient host defense mechanism of the innate immune system, antimicrobial peptides (AMPs) are attractive candidates to fill that role. Scorpion venoms have proven to be a rich source of AMPs. Smp24 and Smp43 are new AMPs that have been identified from the venom gland of the Egyptian scorpion Scorpio maurus palmatus, and these peptides can kill a wide range of bacterial pathogens. By better understanding how these AMPs affect bacterial cells, we can modify their structure to make better drugs in the future.


Author(s):  
Tarmo Toikkanen ◽  
Jukka Purma ◽  
Teemu Leinonen

LeMill is an open source OER repository where the emphasis has been placed on designing a service to meet the actual needs of teachers preparing for classes. The development of LeMill has utilized open, collaborative, and iterative design methods and many features have been refined or redesigned during the process. Emphasis on design work has helped LeMill avoid and fix problems that generally pester OER repositories because of their origins as learning object repositories. The authors recognize that LeMill, as an open source project, has had the rare benefit of a long, structured dissemination phase incorporating actual teacher training. Even when developers and designers try to keep teachers in mind, actual behavioral patterns and needs appear only after the service has been in use. Therefore systems should initially be flexible enough to allow changes resulting from new findings.


2020 ◽  
Vol 93 (1108) ◽  
pp. 20190441 ◽  
Author(s):  
Roushanak Rahmat ◽  
Frederic Brochu ◽  
Chao Li ◽  
Rohitashwa Sinha ◽  
Stephen John Price ◽  
...  

Objectives: Glioblastoma multiforme (GBM) is a highly infiltrative primary brain tumour with an aggressive clinical course. Diffusion tensor imaging (DT-MRI or DTI) is a recently developed technique capable of visualising subclinical tumour spread into adjacent brain tissue. Tensor decomposition through p and q maps can be used for planning of treatment. Our objective was to develop a tool to automate the segmentation of DTI decomposed p and q maps in GBM patients in order to inform construction of radiotherapy target volumes. Methods: Chan-Vese level set model is applied to segment the p map using the q map as its initial starting point. The reason of choosing this model is because of the robustness of this model on either conventional MRI or only DTI. The method was applied on a data set consisting of 50 patients having their gross tumour volume delineated on their q map and Chan-Vese level set model uses these superimposed masks to incorporate the infiltrative edges. Results: The expansion of tumour boundary from q map to p map is clearly visible in all cases and the Dice coefficient (DC) showed a mean similarity of 74% across all 50 patients between the manually segmented ground truth p map and the level set automatic segmentation. Conclusion: Automated segmentation of the tumour infiltration boundary using DTI and tensor decomposition is possible using Chan-Vese level set methods to expand q map to p map. We have provided initial validation of this technique against manual contours performed by experienced clinicians. Advances in knowledge: This novel automated technique to generate p maps has the potential to individualise radiation treatment volumes and act as a decision support tool for the treating oncologist.


2019 ◽  
Vol 12 (02) ◽  
pp. 1950015 ◽  
Author(s):  
U. A. Rozikov ◽  
S. K. Shoyimardonov

We consider a discrete-time dynamical system generated by a nonlinear operator (with four real parameters [Formula: see text]) of ocean ecosystem. We find conditions on the parameters under which the operator is reduced to a [Formula: see text]-Volterra quadratic stochastic operator mapping two-dimensional simplex to itself. We show that if [Formula: see text], then (under some conditions on [Formula: see text]) this [Formula: see text]-Volterra operator may have up to three or a countable set of fixed points; if [Formula: see text], then the operator has up to three fixed points. Depending on the parameters, the fixed points may be attracting, repelling or saddle points. The limit behaviors of trajectories of the dynamical system are studied. It is shown that independently on values of parameters and on initial (starting) point, all trajectories converge. Thus, the operator (dynamical system) is regular. We give some biological interpretations of our results.


2020 ◽  
Vol 32 (14) ◽  
pp. 2070107
Author(s):  
Zhichao Fan ◽  
Yiyuan Yang ◽  
Fan Zhang ◽  
Zheng Xu ◽  
Hangbo Zhao ◽  
...  

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