Representation and Experimentation

Author(s):  
Federico Fallavollita

This paper describes the use of the synthetic method through digital generative algorithms in the study of geometry. In particular, this paper describes the construction of a ruled surface that rests on three skew lines in the method of mathematical representation. This study is part of a bigger picture that has as its goal the renewal of the study of geometry according to the synthetic method, in other words through the use of drawing in the virtual laboratory. The drawing in this sense is a logical tool to understand the geometry in space. The possibility of constructing algorithms to generate and control geometric shape allows having a greater control on both the final form and, above all, on the generative process of form itself. This is particularly important for those who have a synthetic approach in the study of geometry. It refers to the ability to view the entire creative process of the shape and the ability to alter some parameters to improve the result. The representation of the algorithms allows having both an overview and a detailed view of the entire creative process.

Robotica ◽  
2020 ◽  
pp. 1-18
Author(s):  
M. Garcia ◽  
P. Castillo ◽  
E. Campos ◽  
R. Lozano

SUMMARY A novel underwater vehicle configuration with an operating principle as the Sepiida animal is presented and developed in this paper. The mathematical equations describing the movements of the vehicle are obtained using the Newton–Euler approach. An analysis of the dynamic model is done for control purposes. A prototype and its embedded system are developed for validating analytically and experimentally the proposed mathematical representation. A real-time characterization of one mass is done to relate the pitch angle with the radio of displacement of the mass. In addition, first validation of the closed-loop system is done using a linear controller.


2019 ◽  
pp. 200-221
Author(s):  
Paul Humphreys

It is argued that understanding is an epistemically more important concept than explanation. Two kinds of understanding are discussed, that based on analysis of the explanandum and a kind that is based on a synthetic method. The distinction between primary and secondary understanding shows that who is asking the why question is of central importance. A problem for causation is introduced that revolves around the degree of isolation that is needed to identify a causal factor and to distinguish causes from their carriers. It is shown that the analytic and synthetic approach can deal with partial understanding, that there can be an increase in understanding without an explanation, and that laws are not necessary for understanding.


2007 ◽  
Vol 34 (5) ◽  
pp. 925-943 ◽  
Author(s):  
Rob Imrie

It is commonly assumed that building regulation and control is a technical activity and part of a bureaucratic machine external to the design process. For many architects building regulations are no more than a set of rules to be adhered to, and are usually seen as ephemeral, even incidental, to the creative process of design. However, the main argument of this paper suggests that the building regulations are entwined with, and are constitutive of, architects' practices. Far from being an insignificant part of the design process, as some commentators suggest, I develop the argument that the building regulations influence aspects of creative practice and process in architecture and, as such, ought to be given greater attention by scholars of urban design.


Author(s):  
Peter Schneider ◽  
Andreas Köhler ◽  
Sven Reitz ◽  
Roland Jancke

Adaptive systems usually implement the entire cycle of measurement and data acquisition, signal conditioning and processing as well as process control. Especially, for the design of adaptive signal processing and control algorithms detailed insight into the interaction between the system components is of crucial importance. System level simulations are a suitable way to gain insight and to support algorithm design and test. However, an adequate mathematical representation of the system behavior is needed to take advantage of this method. In the paper a generic methodology for behavioral modelling is introduced. Important steps of the modelling process are described and illustrated by two examples. For a gyro sensor system the combination of different modeling methods is demonstrated. Network modeling and in particular an approach for the construction of network models for magnetic systems is discussed for an electromagnetic switching device.


2019 ◽  
Vol 374 (1776) ◽  
pp. 20180279 ◽  
Author(s):  
Joshua Kaminsky ◽  
Lindsay T. Keegan ◽  
C. Jessica E. Metcalf ◽  
Justin Lessler

Simulation studies are often used to predict the expected impact of control measures in infectious disease outbreaks. Typically, two independent sets of simulations are conducted, one with the intervention, and one without, and epidemic sizes (or some related metric) are compared to estimate the effect of the intervention. Since it is possible that controlled epidemics are larger than uncontrolled ones if there is substantial stochastic variation between epidemics, uncertainty intervals from this approach can include a negative effect even for an effective intervention. To more precisely estimate the number of cases an intervention will prevent within a single epidemic, here we develop a ‘single-world’ approach to matching simulations of controlled epidemics to their exact uncontrolled counterfactual. Our method borrows concepts from percolation approaches, prunes out possible epidemic histories and creates potential epidemic graphs (i.e. a mathematical representation of all consistent epidemics) that can be ‘realized’ to create perfectly matched controlled and uncontrolled epidemics. We present an implementation of this method for a common class of compartmental models (e.g. SIR models), and its application in a simple SIR model. Results illustrate how, at the cost of some computation time, this method substantially narrows confidence intervals and avoids nonsensical inferences. This article is part of the theme issue ‘Modelling infectious disease outbreaks in humans, animals and plants: epidemic forecasting and control’. This theme issue is linked with the earlier issue ‘Modelling infectious disease outbreaks in humans, animals and plants: approaches and important themes’.


2017 ◽  
Vol 29 (3) ◽  
pp. 49-54 ◽  
Author(s):  
Gerhard Speckbacher

ABSTRACT Building on the insights from the case studies presented by Cools, Stouthuysen, and Van den Abbeele (2017) and Davila and Ditillo (2017) as well as existing literature on creativity, several suggestions for future creativity research in management accounting are made. Pointing at research in psychology and sociology, I suggest using more context-specific definitions and theories of creativity, and focusing on its process perspective. While the widely assumed tension between creativity and control is primarily driven by the “creativity maximization fallacy” and by the use of broad brush concepts of creativity and control, studying how management control systems influence the creative process of divergent and convergent thinking seems a promising task for management accounting researchers. Finally, creativity in organizations is typically a team sport and thus the relation between leadership, management control, and creativity in teams seems particularly interesting.


Sign in / Sign up

Export Citation Format

Share Document