Serendipity on a Plate

2018 ◽  
pp. 458-472
Author(s):  
Michael Johansson
Keyword(s):  
Digital Media ◽  
Design Thinking ◽  
Work Practice ◽  
3D Objects ◽  
Complex Processes ◽  
Non Linear ◽  
Media Object ◽  
Artistic Work ◽  
Set Up ◽  
Algorithmic Process

This article will present and discuss the design thinking, methods, processes and some examples of work that demonstrates how, together with different co-creators, one sets up a work practice using digital 3d objects and images. That in different ways and formats helps us to explore how a database, a set of rules can be used in a dialogue with artistic work practice and how such a process can be used to create images and animation in a variety of design and art projects. The main example is a project called Conversation China that still is in its making, here one works with rather complex processes, involving several digital analogue techniques as the basis for creating the images for a 150 pieces porcelain dinner set. The author's interest in this work is how the intention of the artist or designer is transferred and later embedded in the procedural or algorithmic process and how this intent is organized and set up to secure an desired outcome, mixing the possibilities of the digital media object with manual editing and artistic craftsmanship. What this article tries to put forward is how we designed and set up environments for working with non linear and procedural media, their different expressions and forms by using explorable prototypes and design thinking?

Conversation China

2014 ◽  
Vol 4 (2) ◽  
pp. 17-31
Author(s):  
Michael Johansson
Keyword(s):  
Digital Media ◽  
Design Thinking ◽  
Work Practice ◽  
3D Objects ◽  
Complex Processes ◽  
Non Linear ◽  
Media Object ◽  
Artistic Work ◽  
Set Up ◽  
Algorithmic Process

This article will present and discuss the design thinking, methods, processes and some examples of work that demonstrates how, together with different co-creators, one sets up a work practice using digital 3d objects and images. That in different ways and formats helps us to explore how a database, a set of rules can be used in a dialogue with artistic work practice and how such a process can be used to create images and animation in a variety of design and art projects. The main example is a project called Conversation China that still is in its making, here one works with rather complex processes, involving several digital analogue techniques as the basis for creating the images for a 150 pieces porcelain dinner set. The author's interest in this work is how the intention of the artist or designer is transferred and later embedded in the procedural or algorithmic process and how this intent is organized and set up to secure an desired outcome, mixing the possibilities of the digital media object with manual editing and artistic craftsmanship. What this article tries to put forward is how we designed and set up environments for working with non linear and procedural media, their different expressions and forms by using explorable prototypes and design thinking?

scholarly journals A machine-learning-based alloy design platform that enables both forward and inverse predictions for thermo-mechanically controlled processed (TMCP) steel alloys

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jin-Woong Lee ◽  
Chaewon Park ◽  
Byung Do Lee ◽  
Joonseo Park ◽  
Nam Hoon Goo ◽  
...  
Keyword(s):  
Machine Learning ◽  
Feature Space ◽  
Research Strategy ◽  
Nsga Ii ◽  
Steel Alloys ◽  
Non Linear ◽  
Data Driven Approach ◽  
Processing Information ◽  
Set Up ◽  
World Industry

AbstractPredicting mechanical properties such as yield strength (YS) and ultimate tensile strength (UTS) is an intricate undertaking in practice, notwithstanding a plethora of well-established theoretical and empirical models. A data-driven approach should be a fundamental exercise when making YS/UTS predictions. For this study, we collected 16 descriptors (attributes) that implicate the compositional and processing information and the corresponding YS/UTS values for 5473 thermo-mechanically controlled processed (TMCP) steel alloys. We set up an integrated machine-learning (ML) platform consisting of 16 ML algorithms to predict the YS/UTS based on the descriptors. The integrated ML platform involved regularization-based linear regression algorithms, ensemble ML algorithms, and some non-linear ML algorithms. Despite the dirty nature of most real-world industry data, we obtained acceptable holdout dataset test results such as R2 > 0.6 and MSE < 0.01 for seven non-linear ML algorithms. The seven fully trained non-linear ML models were used for the ensuing ‘inverse design (prediction)’ based on an elitist-reinforced, non-dominated sorting genetic algorithm (NSGA-II). The NSGA-II enabled us to predict solutions that exhibit desirable YS/UTS values for each ML algorithm. In addition, the NSGA-II-driven solutions in the 16-dimensional input feature space were visualized using holographic research strategy (HRS) in order to systematically compare and analyze the inverse-predicted solutions for each ML algorithm.

Poetic Operations

2021 ◽  
Author(s):  
micha cárdenas
Keyword(s):  
Digital Media ◽  
Women Of Color ◽  
Music Videos ◽  
Artistic Practice ◽  
Queer Of Color Critique ◽  
Complex Processes ◽  
Decolonial Theory ◽  
Queer Of Color ◽  
Algorithmic Analysis ◽  
And Gender

In Poetic Operations artist and theorist micha cárdenas considers contemporary digital media, artwork, and poetry in order to articulate trans of color strategies for safety and survival. Drawing on decolonial theory, women of color feminism, media theory, and queer of color critique, cárdenas develops a method she calls algorithmic analysis. Understanding algorithms as sets of instructions designed to perform specific tasks (like a recipe), she breaks them into their component parts, called operations. By focusing on these operations, cárdenas identifies how trans and gender-non-conforming artists, especially artists of color, rewrite algorithms to counter violence and develop strategies for liberation. In her analyses of Giuseppe Campuzano's holographic art, Esdras Parra's and Kai Cheng Thom's poetry, Mattie Brice's digital games, Janelle Monáe's music videos, and her own artistic practice, cárdenas shows how algorithmic analysis provides new modes of understanding the complex processes of identity and oppression and the intersection of gender, sexuality, and race.

scholarly journals Teaching Primary School Pupils Through Audio-Visual Means

2019 ◽  
Vol 14 (22) ◽  
pp. 122
Author(s):  
Sabdenova Bagila ◽  
Abdullah Kok ◽  
Aziya Zhumabaeva ◽  
Zharkynbike Suleimenova ◽  
Asima Riskulbekova ◽  
...  
Keyword(s):  
Elementary School ◽  
Elementary School Students ◽  
Communication Skills ◽  
Work Practice ◽  
The State ◽  
Practical Work ◽  
Visual Aids ◽  
School Students ◽  
The Republic ◽  
Set Up

Recognition of Kazakh language as the state language of the Republic of Kazakhstan by the Constitution of the Republic of Kazakhstan, adoption of ‘State programme of functioning and development of languages for 2011–2020’, the Law of the Republic of Kazakhstan ‘On languages of the Republic of Kazakhstan’, ‘The State programme on education and science development for 2016–2020’ allowed our native language to develop and prosper. Nowadays, special attention is paid to the problem of teaching the Kazakh language. In today's organised pedagogical environment, it is not fully examined the need for the development of communication skills of elementary school students and scientifically-based and practical communication to solve this problem via audio and graphic tools. Therefore, this article focuses on the need to teach elementary school students to work with audio and graphic materials and technology issues on the use of practical materials. Provided that the theoretical foundations for the development of communication skills of elementary school students through audio-visual aids hold true, the structural-substantial model will allow the development of each student’s individual abilities and creativity. Taking into account the foregoing, we have set up a positive outline of the effectiveness of the work with audio equipment through the organisation of practical work, practice-assemblage, research, diagnostics, practical work in elementary school teachers through specially organised thematic seminars

scholarly journals Social Bots and Fake News as (not) seen from the Viewpoint of Digital Education Frameworks

2017 ◽  
Vol 2017 (Occasional Papers) ◽  
pp. 61-80 ◽  
Author(s):  
Dietmar Janetzko
Keyword(s):  
Digital Media ◽  
Digital Literacy ◽  
Global Scale ◽  
Academic Disciplines ◽  
Fake News ◽  
Digital Competence ◽  
Digital Education ◽  
Research Activities ◽  
Set Up ◽  
The Eu

Over recent years, international organisations like the EU and UNESCO have set up a number of proposals, models and frameworks that seek (i) to map and to conceptualize digital literacy and related concepts, e. g. information, digital or media literacy, digital competence, digital skills and (ii) to formulate policies and recommendations based on the conceptualizations developed. The resulting frameworks, such as Digital Competence (DigComp) developed by the EU, or Media and Information Literacy (MIL) developed by UNESCO, have a strong formative power on a global scale. Affected are policies, laws, regulations, research activities, and academic disciplines like media pedagogy and mindsets. Do these frameworks consider the effects of disruptive attempts by digital media to intervene in public debates e. g. social bots, fake news and other manifestations of biased or false information online? Do they offer avenues for reflection and action to address them? Guided by these questions, this paper studies the flagship frameworks on digital education of the EU and UNESCO, DigComp and MIL. It finds biases in both frameworks. To different degrees, both tend to overemphasize the practical and instrumental use of digital literacy.

Intelligent Time-Stepping for Practical Numerical Simulation

2021 ◽  
Author(s):  
Soham Sheth ◽  
Francois McKee ◽  
Kieran Neylon ◽  
Ghazala Fazil
Keyword(s):  
Heuristic Method ◽  
Simulation Models ◽  
Model Complexity ◽  
Large Field ◽  
Optimal Time ◽  
Time Step ◽  
Non Linear ◽  
Set Up ◽  
Reservoir Simulator ◽  
Step Selection

Abstract We present a novel reservoir simulator time-step selection approach which uses machine-learning (ML) techniques to analyze the mathematical and physical state of the system and predict time-step sizes which are large while still being efficient to solve, thus making the simulation faster. An optimal time-step choice avoids wasted non-linear and linear equation set-up work when the time-step is too small and avoids highly non-linear systems that take many iterations to solve. Typical time-step selectors use a limited set of features to heuristically predict the size of the next time-step. While they have been effective for simple simulation models, as model complexity increases, there is an increasing need for robust data-driven time-step selection algorithms. We propose two workflows – static and dynamic – that use a diverse set of physical (e.g., well data) and mathematical (e.g., CFL) features to build a predictive ML model. This can be pre-trained or dynamically trained to generate an inference model. The trained model can also be reinforced as new data becomes available and efficiently used for transfer learning. We present the application of these workflows in a commercial reservoir simulator using distinct types of simulation model including black oil, compositional and thermal steam-assisted gravity drainage (SAGD). We have found that history-match and uncertainty/optimization studies benefit most from the static approach while the dynamic approach produces optimum step-sizes for prediction studies. We use a confidence monitor to manage the ML time-step selector at runtime. If the confidence level falls below a threshold, we switch to traditional heuristic method for that time-step. This avoids any degradation in the performance when the model features are outside the training space. Application to several complex cases, including a large field study, shows a significant speedup for single simulations and even better results for multiple simulations. We demonstrate that any simulation can take advantage of the stored state of the trained model and even augment it when new situations are encountered, so the system becomes more effective as it is exposed to more data.

Digital Humour, Gag Laws, and the Liberal Security State

2017 ◽  
pp. 204-221 ◽  
Author(s):  
Judith Bessant
Keyword(s):  
Public Sphere ◽  
Political Theory ◽  
Digital Media ◽  
Digital Age ◽  
Political Dissent ◽  
The Public ◽  
On Line ◽  
Artistic Work ◽  
The Public Sphere

This chapter presents a case study of Facu Diaz, a Spanish satirist whose on-line ridicule of the Spanish government created a political furor that brought him before the courts. The chapter engages the problem of the criminalization of political dissent by liberal states in the digital age. The case highlights how digital media is now being used to create content for satire, as well as to replicate and infiltrate more traditional political and media forums, changing many traditional forms of political practice. The case [points to some of the central problems inherent in liberalism which may give reason to curb the enthusiasm of those who think that new digital media creates fresh opportunities for augmenting the ‘public sphere'. It is argued that liberalism as a political theory and ethos, tends to be blind to non-traditional political expressions like satire and other artistic work. In addition, the expansion of security laws in many countries suggests, liberalism's ostensible commitment to freedom needs to be reframed by recalling its historical preoccupation with security.

IT-ASSIST

2011 ◽  
Vol 3 (1) ◽  
pp. 33-41 ◽  
Author(s):  
Claas Ahlrichs ◽  
Daniel Kohlsdorf ◽  
Michael Lawo ◽  
Gerrit Kalkbrenner
Keyword(s):  
Digital Media ◽  
Elderly People ◽  
User Interfaces ◽  
Social Communication ◽  
User Studies ◽  
Model Systems ◽  
Age Related ◽  
Hand Eye Coordination ◽  
Photo Editing ◽  
Set Up

IT-ASSIST is a twenty months research project which has the goal to give elderly people the opportunity to profit from digital media. Suffering from age related impairments concerning vision, hearing, or dexterity and bad hand-eye coordination are challenges when designing user interfaces for elderly people. Common approaches are trying to model systems for specific impairments. In this project, the authors follow the approach to set up interfaces and systems that can be used independent from personal impairments. Customization has adapted these systems to be in accordance with personnel impairments. Common applications like photo editing, digital mailing or internet browsing in a redesigned form provide social communication accordingly. In this article, a prototype of a customized user interface, its implementation, and results of user studies are presented and discussed.

scholarly journals Bringing it all together

2005 ◽  
Vol 9 (1/2) ◽  
pp. 3-14 ◽  
Author(s):  
J. C. I. Dooge
Keyword(s):  
Water Balance ◽  
Water Molecule ◽  
Conceptual Models ◽  
Hydrological Cycle ◽  
Point Of View ◽  
Deterministic Analysis ◽  
Hydrologic Processes ◽  
Complex Processes ◽  
Non Linear ◽  
Global Water

Abstract. The various elements of the hydrological cycle are discussed in outline from the point of view of making progress in analysis through appropriate simplification of these complex processes. Parallels between stochastic and deterministic analysis and between linear and non-linear conceptual models are referred to. The emphasis is on similarities and contrasts between the analysis of hydrologic processes over the range of scales from the water molecule to the global water balance.

Sign in / Sign up

Export Citation Format

Share Document