scholarly journals IS THERE A PERCEPTION-BASED ALTERNATIVE TO KINEMATIC MODELS OFTEMPO RUBATO?

2005 ◽  
Vol 23 (1) ◽  
pp. 79-85 ◽  
Author(s):  
HENKJAN HONING
Keyword(s):  
Computer Simulations ◽  
Real World ◽  
Music Performance ◽  
Rhythm Perception ◽  
Rhythmic Structure ◽  
Physical Motion ◽  
Temporal Factors ◽  
Kinematic Models ◽  
Explicit Relation ◽  
Kinematic Approach

THE RELATION BETWEEN MUSIC and motion has been a topic of much theoretical and empirical research. An important contribution is made by a family of computational theories, so-called kinematic models, that propose an explicit relation between the laws of physical motion in the real world and expressive timing in music performance. However, kinematic models predict that expressive timing is independent of (a) the number of events, (b) the rhythmic structure, and (c) the overall tempo of the performance. These factors have no effect on the predicted shape of a ritardando. Computer simulations of a number of rhythm perception models show, however, a large effect of these structural and temporal factors. They are therefore proposed as a perception-based alternative to the kinematic approach.

Metaheuristic- and Statistical-Based Sampling in Optimization

2018 ◽  
pp. 84-104
Author(s):  
Yoel Tenne
Keyword(s):  
Computer Simulations ◽  
Real World ◽  
Computational Intelligence ◽  
Numerical Experiments ◽  
Strong Impact ◽  
Initial Sample ◽  
Modern Engineering ◽  
Computationally Intensive ◽  
The Impact ◽  
Optimization Search

Modern engineering often uses computer simulations as a partial substitute to real-world experiments. As such simulations are often computationally intensive, metamodels, which are numerical approximations of the simulation, are often used. Optimization frameworks which use metamodels require an initial sample of points to initiate the main optimization process. Two main approaches for generating the initial sample are the ‘design of experiments' method which is statistically based, and the more recent metaheuristic-based sampling which uses a metaheuristic or a computational intelligence algorithm. Since the initial sample can have a strong impact on the overall optimization search and since the two sampling approaches operate based only widely different mechanisms this study analyzes the impact of these two approaches on the overall search effectiveness in an extensive set of numerical experiments which covers a wide variety of scenarios. A detailed analysis is then presented which highlights which method was the most beneficial to the search depending on the problem settings.

Emergence of Analogies in Collaboratively Conducted Computer Simulations

2009 ◽  
pp. 340-361
Author(s):  
Wolff-Michael Roth
Keyword(s):  
Computer Simulations ◽  
Teaching Strategies ◽  
Real World ◽  
Relevant Information ◽  
Multimedia Application ◽  
The Real ◽  
Physics Course

To learn by means of analogies, students have to see surface and deep structures in both source and target domains. Educators generally assume that students, presented with images, texts, video, or demonstrations, see what the curriculum designer intends them to see, that is, pick out and integrate information into their existing understanding. However, there is evidence that students do not see what they are supposed to see, which precisely inhibits them to learn what they are supposed to learn. In this extended case study, which exemplifies a successful multimedia application, 3 classroom episodes are used (a) to show how students in an advanced physics course do not see relevant information on the computer monitor; (b) to exemplify teaching strategies designed to allow relevant structures to become salient in students’ perception, allowing them to generate analogies and thereby learn; and (c) to exemplify how a teacher might assist students in bridging from the multimedia context to the real world.

Representing groove: Rhythmic structure in interactive music performance

1997 ◽  
Vol 102 (5) ◽  
pp. 3182-3182
Author(s):  
Vijay Iyer ◽  
Jeff Bilmes ◽  
Matt Wright ◽  
David Wessel
Keyword(s):  
Music Performance ◽  
Rhythmic Structure ◽  
Interactive Music

Artificial systems as models in biological cybernetics

2001 ◽  
Vol 24 (6) ◽  
pp. 1071-1072 ◽  
Author(s):  
Titus R. Neumann ◽  
Susanne Huber ◽  
Heinrich H. Bülthoff
Keyword(s):  
Computer Simulations ◽  
Real World ◽  
Biological Systems ◽  
Point Of View ◽  
Biological Behavior ◽  
Biological Relevance ◽  
Insect Biology

From the perspective of biological cybernetics, “real world” robots have no fundamental advantage over computer simulations when used as models for biological behavior. They can even weaken biological relevance. From an engineering point of view, however, robots can benefit from solutions found in biological systems. We emphasize the importance of this distinction and give examples for artificial systems based on insect biology.

A Node-Dependent Kinematic Approach for Rotordynamics Problems

2019 ◽  
Vol 141 (6) ◽  
Author(s):  
Matteo Filippi ◽  
Enrico Zappino ◽  
Erasmo Carrera
Keyword(s):  
Dynamic Analysis ◽  
Computational Cost ◽  
Three Dimensional ◽  
Governing Equations ◽  
Three Dimensional Model ◽  
Flexible Supports ◽  
Out Of Plane ◽  
Kinematic Models ◽  
Carrera Unified Formulation ◽  
Kinematic Approach

This paper presents the dynamic analysis of rotating structures using node-dependent kinematics (NDK) one-dimensional (1D) elements. These elements have the capabilities to assume a different kinematic at each node of a beam element, that is, the kinematic assumptions can be continuously varied along the beam axis. Node-dependent kinematic 1D elements have been extended to the dynamic analysis of rotors where the response of the slender shaft, as well as the responses of disks, has to be evaluated. Node dependent kinematic capabilities have been exploited to impose simple kinematic assumptions along the shaft and refined kinematic models where the in- and out-of-plane deformations appear, that is, on the disks. The governing equations of the rotordynamics problem have been derived in a unified and compact form using the Carrera unified formulation. Refined beam models based on Taylor and Lagrange expansions (LEs) have been considered. Single- and multiple-disk rotors have been investigated. The effects of flexible supports have also been included. The results show that the use of the node-dependent kinematic elements allows the accuracy of the model to be increased only where it is required. This approach leads to a reduction of the computational cost compared to a three-dimensional model while the accuracy of the results is preserved.

Swarm Intelligence in Production Management and Engineering

2011 ◽  
pp. 345-365 ◽  
Author(s):  
Swagatam Das ◽  
Amit Konar
Keyword(s):  
Motion Planning ◽  
Mobile Robots ◽  
Swarm Intelligence ◽  
Vehicle Routing ◽  
Computer Simulations ◽  
Real World ◽  
Production Management ◽  
Industrial Applications ◽  
Future Research ◽  
Biologically Inspired

This chapter explores the scope of biologically inspired swarm intelligence (SI) into production management with special emphasis in two specific problems of vehicle routing and motion planning of mobile robots. Computer simulations undertaken for this study have also been included to demonstrate the elegance in the application of the proposed theory in the said real-world problems. Possible directions of future research and industrial applications have also been appended at the end of the chapter.

Large-Scale Social Simulation, Dealing with Complexity Challenges in High Performance Environments

2014 ◽  
pp. 106-123 ◽  
Author(s):  
C. Montañola-Sales ◽  
X. Rubio-Campillo ◽  
J. Casanovas-Garcia ◽  
J. M. Cela-Espín ◽  
A. Kaplan-Marcusán
Keyword(s):  
Information Technology ◽  
Computer Simulations ◽  
Real World ◽  
High Performance ◽  
Large Scale ◽  
Social Dynamics ◽  
Agent Based Modeling ◽  
Agent Based ◽  
Important Amount ◽  
Distributed Implementation

Advances on information technology in the past decades have provided new tools to assist scientists in the study of social and natural phenomena. Agent-based modeling techniques have flourished recently, encouraging the introduction of computer simulations to examine behavioral patterns in complex human and biological systems. Real-world social dynamics are very complex, containing billions of interacting individuals and an important amount of data (both spatial and social). Dealing with large-scale agent-based models is not an easy task and encounters several challenges. The design of strategies to overcome these challenges represents an opportunity for high performance parallel and distributed implementation. This chapter examines the most relevant aspects to deal with large-scale agent-based simulations in social sciences and revises the developments to confront technological issues.

scholarly journals Robotic experiments with cooperative Aerobots and underwater swarms

Robotica ◽  
2009 ◽  
Vol 27 (1) ◽  
pp. 37-49 ◽  
Author(s):  
Ehsan Honary ◽  
Frank McQuade ◽  
Roger Ward ◽  
Ian Woodrow ◽  
Andy Shaw ◽  
...  
Keyword(s):  
Computer Simulations ◽  
Real World ◽  
European Space Agency ◽  
Underwater Vehicles ◽  
Lessons Learned ◽  
Data Handling ◽  
The Real ◽  
Unmanned Underwater Vehicles ◽  
Space Agency ◽  
Processing Power

SUMMARYSciSys has been involved in the development of Planetary Aerobots (arial robots) funded by the European Space Agency for use on Mars and has developed image-based localisation technology as part of the activity. However, it is possible to use Aerobots in a different environment to investigate issues regarding robotics behaviour, such as data handling, limited processing power, and limited sensors. This paper summarises the activity where an Aerobot platform was used to investigate the use of multiple autonomous unmanned underwater vehicles (UUVs) by simulating their movement and behaviour. It reports on the computer simulations and the real-world tests carried out and the lessons learned from these experiments.

Biomimetic robots and biology

2001 ◽  
Vol 24 (6) ◽  
pp. 1077-1077 ◽  
Author(s):  
Allen I. Selverston
Keyword(s):  
Computer Simulations ◽  
Animal Behavior ◽  
Real World ◽  
Biological Mechanisms ◽  
The Real ◽  
Biomimetic Robots

Using robots that operate in the real world as opposed to computer simulations of animal behavior is a form of modeling that may provide some biological insights. However, since engineering principles and materials differ significantly from those used in biology, one should be extremely cautious in interpreting robot biomimicry as providing an explanation of biological mechanisms.

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