8,728 research outputs found
Soft thought (in architecture and choreography)
This article is an introduction to and exploration of the concept of âsoft thoughtâ. What we want to propose through the definition of this concept is an aesthetic of digital code that does not necessarily presuppose a relation with the generative aspects of coding, nor with its sensorial perception and evaluation. Numbers do not have to produce something, and do not need to be transduced into colours and sounds, in order to be considered as aesthetic objects. Starting from this assumption, our main aim will be to reconnect the numerical aesthetic of code with a more âabstractâ kind of feeling, the feeling of numbers indirectly felt as conceptual contagionsâ, that are âconceptually felt but not directly sensed. The following pages will be dedicated to the explication and exemplification of this particular mode of feeling, and to its possible definition as âsoft thoughtâ
The Illusion of the Perpetual Money Machine
We argue that the present crisis and stalling economy continuing since 2007
are rooted in the delusionary belief in policies based on a "perpetual money
machine" type of thinking. We document strong evidence that, since the early
1980s, consumption has been increasingly funded by smaller savings, booming
financial profits, wealth extracted from house price appreciation and explosive
debt. This is in stark contrast with the productivity-fueled growth that was
seen in the 1950s and 1960s. This transition, starting in the early 1980s, was
further supported by a climate of deregulation and a massive growth in
financial derivatives designed to spread and diversify the risks globally. The
result has been a succession of bubbles and crashes, including the worldwide
stock market bubble and great crash of October 1987, the savings and loans
crisis of the 1980s, the burst in 1991 of the enormous Japanese real estate and
stock market bubbles, the emerging markets bubbles and crashes in 1994 and
1997, the LTCM crisis of 1998, the dotcom bubble bursting in 2000, the recent
house price bubbles, the financialization bubble via special investment
vehicles, the stock market bubble, the commodity and oil bubbles and the debt
bubbles, all developing jointly and feeding on each other. Rather than still
hoping that real wealth will come out of money creation, we need fundamentally
new ways of thinking. In uncertain times, it is essential, more than ever, to
think in scenarios: what can happen in the future, and, what would be the
effect on your wealth and capital? How can you protect against adverse
scenarios? We thus end by examining the question "what can we do?" from the
macro level, discussing the fundamental issue of incentives and of constructing
and predicting scenarios as well as developing investment insights.Comment: 27 pages, 18 figures (Notenstein Academy White Paper Series
Model-driven Scheduling for Distributed Stream Processing Systems
Distributed Stream Processing frameworks are being commonly used with the
evolution of Internet of Things(IoT). These frameworks are designed to adapt to
the dynamic input message rate by scaling in/out.Apache Storm, originally
developed by Twitter is a widely used stream processing engine while others
includes Flink, Spark streaming. For running the streaming applications
successfully there is need to know the optimal resource requirement, as
over-estimation of resources adds extra cost.So we need some strategy to come
up with the optimal resource requirement for a given streaming application. In
this article, we propose a model-driven approach for scheduling streaming
applications that effectively utilizes a priori knowledge of the applications
to provide predictable scheduling behavior. Specifically, we use application
performance models to offer reliable estimates of the resource allocation
required. Further, this intuition also drives resource mapping, and helps
narrow the estimated and actual dataflow performance and resource utilization.
Together, this model-driven scheduling approach gives a predictable application
performance and resource utilization behavior for executing a given DSPS
application at a target input stream rate on distributed resources.Comment: 54 page
Rethinking affordance
n/a â Critical survey essay retheorising the concept of 'affordance' in digital media context. Lead article in a special issue on the topic, co-edited by the authors for the journal Media Theory
On the role of Prognostics and Health Management in advanced maintenance systems
The advanced use of the Information and Communication Technologies is evolving the way that systems are managed and maintained. A great number of techniques and methods have emerged in the light of these advances allowing to have an accurate and knowledge about the systemsâ condition evolution and remaining useful life. The advances are recognized as outcomes of an innovative discipline, nowadays discussed under the term of Prognostics and Health Management (PHM). In order to analyze how maintenance will change by using PHM, a conceptual model is proposed built upon three views. The model highlights: (i) how PHM may impact the definition of maintenance policies; (ii) how PHM fits within the Condition Based Maintenance (CBM) and (iii) how PHM can be integrated into Reliability Centered Maintenance (RCM) programs. The conceptual model is the research finding of this review note and helps to discuss the role of PHM in advanced maintenance systems.EU Framework Programme Horizon 2020, 645733 - Sustain-Owner - H2020-MSCA-RISE-201
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