44,956 research outputs found
Interfaces of the Agriculture 4.0
The introduction of information technologies in the environmental field is impacting and changing even a traditional sector like agriculture. Nevertheless, Agriculture 4.0 and data-driven decisions should meet user
needs and expectations. The paper presents a broad theoretical overview, discussing both the strategic role of design applied to Agri-tech and the issue of User Interface and Interaction as enabling tools in the field. In
particular, the paper suggests to rethink the HCD approach, moving on a Human-Decentered Design approach that put together user-technology-environment and the importance of the role of calm technologies as a way
to place the farmer, not as a final target and passive spectator, but as an active part of the process to aim the process of mitigation, appropriation from a traditional cultivation method to the 4.0 one
From Social Simulation to Integrative System Design
As the recent financial crisis showed, today there is a strong need to gain
"ecological perspective" of all relevant interactions in
socio-economic-techno-environmental systems. For this, we suggested to set-up a
network of Centers for integrative systems design, which shall be able to run
all potentially relevant scenarios, identify causality chains, explore feedback
and cascading effects for a number of model variants, and determine the
reliability of their implications (given the validity of the underlying
models). They will be able to detect possible negative side effect of policy
decisions, before they occur. The Centers belonging to this network of
Integrative Systems Design Centers would be focused on a particular field, but
they would be part of an attempt to eventually cover all relevant areas of
society and economy and integrate them within a "Living Earth Simulator". The
results of all research activities of such Centers would be turned into
informative input for political Decision Arenas. For example, Crisis
Observatories (for financial instabilities, shortages of resources,
environmental change, conflict, spreading of diseases, etc.) would be connected
with such Decision Arenas for the purpose of visualization, in order to make
complex interdependencies understandable to scientists, decision-makers, and
the general public.Comment: 34 pages, Visioneer White Paper, see http://www.visioneer.ethz.c
Identifying smart design attributes for Industry 4.0 customization using a clustering Genetic Algorithm
Industry 4.0 aims at achieving mass customization at a
mass production cost. A key component to realizing this is accurate
prediction of customer needs and wants, which is however a
challenging issue due to the lack of smart analytics tools. This
paper investigates this issue in depth and then develops a predictive
analytic framework for integrating cloud computing, big data
analysis, business informatics, communication technologies, and
digital industrial production systems. Computational intelligence
in the form of a cluster k-means approach is used to manage
relevant big data for feeding potential customer needs and wants
to smart designs for targeted productivity and customized mass
production. The identification of patterns from big data is achieved
with cluster k-means and with the selection of optimal attributes
using genetic algorithms. A car customization case study shows
how it may be applied and where to assign new clusters with
growing knowledge of customer needs and wants. This approach
offer a number of features suitable to smart design in realizing
Industry 4.0
ICS Materials. Towards a re-Interpretation of material qualities through interactive, connected, and smart materials.
The domain of materials for design is changing under the influence of an increased technological
advancement, miniaturization and democratization. Materials are becoming connected,
augmented, computational, interactive, active, responsive, and dynamic. These are ICS
Materials, an acronym that stands for Interactive, Connected and Smart. While labs around the
world are experimenting with these new materials, there is the need to reflect on their
potentials and impact on design. This paper is a first step in this direction: to interpret and
describe the qualities of ICS materials, considering their experiential pattern, their expressive sensorial dimension, and their aesthetic of interaction. Through case studies, we analyse and classify these emerging ICS Materials and identified common characteristics, and challenges, e.g. the ability to change over time or their programmability by the designers and users. On that basis, we argue there is the need to reframe and redesign existing models to describe ICS materials, making their qualities emerge
Analytics-Driven Digital Platform for Regional Growth and Development: A Case Study from Norway
In this paper, we present the growth barometer (Vekstbarometer in Norwegian),
which is a digital platform that provides the development trends in the
regional context in a visual and user-friendly way. The platform is developed
to use open data from different sources that is presented mainly in five main
groups: goals, premises or prerequisites for growth, industries, growth, and
expectations. Furthermore, it also helps to improve decision-making and
transparency, as well as provide new knowledge for research and society. The
platform uses sensitive and non-sensitive open data. In contrast to other
similar digital platforms from Norway, where the data is presented as raw data
or with basic level of presentations, our platform is advantageous since it
provides a range of options for visualization that makes the statistics more
comprehensive.Comment: The Thirteenth International Conference on Digital Society and
eGovernments (ICDS 2019
Recommended from our members
A pilot study for the collaborative development of new ways of visualising seasonal climate forecasts
Open source bioimage informatics for cell biology
Significant technical advances in imaging, molecular biology and genomics have fueled a revolution in cell biology, in that the molecular and structural processes of the cell are now visualized and measured routinely. Driving much of this recent development has been the advent of computational tools for the acquisition, visualization, analysis and dissemination of these datasets. These tools collectively make up a new subfield of computational biology called bioimage informatics, which is facilitated by open source approaches. We discuss why open source tools for image informatics in cell biology are needed, some of the key general attributes of what make an open source imaging application successful, and point to opportunities for further operability that should greatly accelerate future cell biology discovery
Recommended from our members
Design and competitive edge: A model for design management excellence in European SME's
This article suggests to use the conceptual model of Michael Porter Value Chain in order to integrate all the variables that explain the mechanism of value creation through design.
The results of the study of 33 European SMES participating in the European Design Prize explain the role of design in the management of innovation, identify the variables that characterize design management and classify them according to the value chain concept.
The main result of this research was the typology of design management strategy.
Three clusters emerged through the analysis and the managerial value of design was demonstrated
- âŠ