scholarly journals ‘Just hit a button!’ – fashion 4.0 designers as cyborgs, experimenting and designing with generative algorithms

2021 ◽  
pp. 1-10
Author(s):  
Natalia Särmäkari ◽  
Annamari Vänskä
Keyword(s):  
Generative Algorithms

Oracle

Leonardo ◽  
2010 ◽  
Vol 43 (5) ◽  
pp. 482-483
Author(s):  
Keyword(s):  
Visual Information ◽  
Dynamic Environment ◽  
Collective Unconscious ◽  
Tracking Systems ◽  
Interactive Installation ◽  
Generative Algorithms

Oracle is an interactive installation, created in the framework of the eMobiLArt Project, which uses tracking systems, generative algorithms, sound and video, forming a dynamic environment. Through the change between an audiovisual display, and the sudden stillness of an image, while one stays still for a longer time, Oracle reveals its answer to the viewers. Witnessing the emergence of original semantics through our daily relationship with images and vast visual information, Oracle stands as a sudden metaphor of our collective unconscious.

scholarly journals Generation of Facial Drawings Using Generative Adversarial Networks

2019 ◽  
Vol 8 (6) ◽  
pp. 746-750
Keyword(s):  
Research Work ◽  
Generative Adversarial Networks ◽  
Legal Proceedings ◽  
Video Footage ◽  
Basic Model ◽  
Adversarial Networks ◽  
Generative Algorithms ◽  
Facial Images

Facial sketches are widely used in judicial and legal proceedings. Law enforcers use facial sketches to help them with the visual aspects of the case, using witness descriptions and video footage. However, drawing forensic sketches by hand is a time-consuming procedure and a situation may arise where the authorities have less time in hand to solve a case. The present research work aims to create a basic model which can generate facial images from a given set of input features; similar to what a forensic artist does, thus, enabling a faster and efficient sketching procedure. In this work, a category of generative algorithms, called Generative Adversarial Networks has been used to build this model. To train this model, a dataset of anime girls has been used and thus it can only generate the same, making sure that the generated image contains the input features.

Representation, Design, and Management of Generative Algorithms for Architecture

2018 ◽  
pp. 243-262
Author(s):  
Massimiliano Lo Turco ◽  
Yoseph Bausola Pagliero
Keyword(s):  
Programming Language ◽  
Case History ◽  
Parametric Design ◽  
Visual Programming ◽  
Free Form ◽  
Indoor Environments ◽  
Kinematic Modelling ◽  
Generative Algorithms ◽  
Parametric Algorithms ◽  
Visual Programming Language

This chapter critically analyses free-form generative parametric design techniques to evaluate the effectiveness of VPL (Visual Programming Language) systems, applied to existing high-geometric/formal complexity artefacts. The paneling of the South facade of the Institut du Monde Arabe (IMA) in Paris, designed by J. Nouvel, was chosen as a case history. This is to examine how through a complex kinematic modelling, the sunshine of indoor environments can be effectively controlled. The chapter focuses on reproduction, through reverse engineering techniques of the façade-type panel, through the most widely-used VPL platforms that determine algorithmic relationships. The generative parametric algorithms developed for the IMA Moucharabieh, indicate that identical rules can govern different geometries; in contrast, identical geometries can arise from completely different algorithmic formulae. Finally, the integration with the most widely-used BIM applications, is used to critically evaluate interoperable workflows.

scholarly journals Architectural Design Exploration Using Generative Design: Framework Development and Case Study of a Residential Block

Buildings ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 201
Author(s):  
Jani Mukkavaara ◽  
Marcus Sandberg
Keyword(s):  
Architectural Design ◽  
Solution Space ◽  
Energy Performance ◽  
Design System ◽  
Future Research ◽  
Generative Design ◽  
Design Exploration ◽  
Novel Approach ◽  
Generative Algorithms

The use of generative design has been suggested to be a novel approach that allows designers to take advantage of computers’ computational capabilities in the exploration of design alternatives. However, the field is still sparsely explored. Therefore, this study aimed to investigate the potential use of generative design in an architectural design context. A framework was iteratively developed alongside a prototype, which was eventually demonstrated in a case study to evaluate its applicability. The development of a residential block in the northern parts of Sweden served as the case. The findings of this study further highlight the potential of generative design and its promise in an architectural context. Compared to previous studies, the presented framework is open to other generative algorithms than mainly genetic algorithms and other evaluation models than, for instance, energy performance models. The paper also presents a general technical view on the functionality of the generative design system, as well as elaborating on how to explore the solution space in a top-down fashion. This paper moves the field of generative design further by presenting a generic framework for architectural design exploration. Future research needs to focus on detailing how generative design should be applied and when in the design process.

DISTANCE-BASED PHYLOGENETIC ALGORITHMS: NEW INSIGHTS AND APPLICATIONS

2010 ◽  
Vol 20 (supp01) ◽  
pp. 1511-1532 ◽  
Author(s):  
S. POMPEI ◽  
E. CAGLIOTI ◽  
V. LORETO ◽  
F. TRIA
Keyword(s):  
Horizontal Transfer ◽  
Evolutionary Dynamics ◽  
Phylogenetic Reconstruction ◽  
Local Property ◽  
Reconstruction Algorithms ◽  
Reconstruction Methods ◽  
Tree Length ◽  
Point Condition ◽  
Generative Algorithms ◽  
The One

Phylogenetic methods have recently been rediscovered in several interesting areas among which immunodynamics, epidemiology and many branches of evolutionary dynamics. In many interesting cases the reconstruction of a correct phylogeny is blurred by high mutation rates and/or horizontal transfer events. As a consequence, a divergence arises between the true evolutionary distances and the distances between pairs of taxa as inferred from the available data, making the phylogenetic reconstruction a challenging problem. Mathematically this divergence translates in the non-additivity of the actual distances between taxa and the quest for new algorithms able to efficiently cope with these effects is wide open. In distance-based reconstruction methods, two properties of additive distances were extensively exploited as antagonist criteria to drive phylogeny reconstruction: on the one hand a local property of quartets, i.e. sets of four taxa in a tree, the four-point condition; on the other hand, a recently proposed formula that allows to write the tree length as a function of the distances between taxa, the Pauplin's formula. A deeper comprehension of the effects of the non-additivity on the inspiring principles of the existing reconstruction algorithms is thus of paramount importance. In this paper we present a comparative analysis of the performances of the most important distance-based phylogenetic algorithms. We focus in particular on the dependence of their performances on two main sources of non-additivity: back-mutation processes and horizontal transfer processes. The comparison is carried out in the framework of a set of generative algorithms for phylogenies that incorporate non-additivity in a tunable way.

scholarly journals Additively manufactured textiles and parametric modelling by generative algorithms in orthopaedic applications

2020 ◽  
Vol 26 (5) ◽  
pp. 827-834 ◽  
Author(s):  
Vito Ricotta ◽  
Robert Ian Campbell ◽  
Tommaso Ingrassia ◽  
Vincenzo Nigrelli
Keyword(s):  
Computer Aided Design ◽  
Selective Laser Sintering ◽  
Flexible Structure ◽  
Parametric Modelling ◽  
Content Type ◽  
Cad Modelling ◽  
Generative Algorithms ◽  
Application Fields ◽  
Aided Design ◽  
Design And Production

Purpose The purpose of this paper is to implement a new process aimed at the design and production of orthopaedic devices fully manufacturable by additive manufacturing (AM). In this context, the use of generative algorithms for parametric modelling of additively manufactured textiles (AMTs) also has been investigated, and new modelling solutions have been proposed. Design/methodology/approach A new method for the design of customised elbow orthoses has been implemented. In particular, to better customise the elbow orthosis, a generative algorithm for parametric modelling and creation of a flexible structure, typical of an AMT, has been developed. Findings To test the developed modelling algorithm, a case study based on the design and production of an elbow orthosis made by selective laser sintering was investigated. The obtained results have demonstrated that the implemented algorithm overcomes many drawbacks typical of the traditional computer aided design (CAD) modelling approaches. The parametric CAD model of the orthosis obtained through the new approach is characterised by a flexible structure with no deformations or mismatches and has been effectively used to produce the prototype through AM technologies. Originality/value The obtained results present innovative elements of originality in the CAD modelling sector, which can contribute to solving problems related to modelling for AM in different application fields.

Model Operations: Morphogenesis and the Design Process

2021 ◽  
pp. 602-626
Author(s):  
Carolin Höfler
Keyword(s):  
Architectural Design ◽  
Reciprocal Relationship ◽  
Digital Design ◽  
Responsive Materials ◽  
History Of ◽  
History Of Architecture ◽  
Generative Algorithms ◽  
The 1960S ◽  
Structural Architecture ◽  
Architecture And Design

Abstract Since the emergence of digital design techniques in combination with so-called responsive materials, the concept of organic forms in architecture seems to be gaining a new quality. The resemblance to an organism should no longer apply only superficially but be inscribed in the materiality as well as in the history of origin and functioning. This article addresses these new transformative effects between architecture and biology. They are presented primarily in relation to the structural architecture of the 1960s and the computational architectural systems since the 1990s. One focus of architecture is on dynamic forms that adapt themselves to their environment by means of flexible materials and generative algorithms. Here, architecture as technically animated matter no longer involuntarily competes with creative nature but is seen as part of a reciprocal relationship. This reciprocal relationship is specified by recourse to various architectural models. The models’ approaches suggest that organic-looking forms are generated by simulated biological processes. The article examines this claim of the models from the perspective of the history of architecture and design. It shows how, since the mid-twentieth century, a renewal of architectural design practice has been sought by reformulating morphological questions at the intersection of biological and cybernetic discourses.

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