Evaluation of simulation systems suitable for teaching compiler construction courses

Coordinated group motion has been studied extensively both in real systems (flocks, swarms and schools) and in simulations (self-propelled particle (SPP) models using attraction and repulsion rules). Rarely are attraction and repulsion rules manipulated, and the resulting emergent behaviours of real and simulation systems are compared. We compare swarms of sensory-deprived whirligig beetles with matching simulation models. Whirligigs live at the water's surface and coordinate their grouping using their eyes and antennae. We filmed groups of beetles in which antennae or eyes had been unilaterally obstructed and measured individual and group behaviours. We then developed and compared eight SPP simulation models. Eye-less beetles formed larger diameter resting groups than antenna-less or control groups. Antenna-less groups collided more often with each other during evasive group movements than did eye-less or control groups. Simulations of antenna-less individuals produced no difference from a control (or a slight decrease) in group diameter. Simulations of eye-less individuals produced an increase in group diameter. Our study is important in (i) differentiating between group attraction and repulsion rules, (ii) directly comparing emergent properties of real and simulated groups, and (iii) exploring a new sensory modality (surface wave detection) to coordinate group movement.

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Visual Simulation Systems

Aircraft Engineering and Aerospace Technology ◽

10.1108/eb037080 ◽

1991 ◽

Vol 63 (4) ◽

pp. 6-10

Keyword(s):

Visual Simulation ◽

Simulation Systems

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A visual environment for distributed simulation systems

ACM SIGSIM Simulation Digest ◽

10.1145/242745.1108993 ◽

1996 ◽

Vol 25 (3) ◽

pp. 13-22 ◽

Cited By ~ 3

Author(s):

James H. Graham ◽

Adel S. Elmaghraby ◽

Irfan Karachiwala ◽

Hussam Soliman

Keyword(s):

Distributed Simulation ◽

Visual Environment ◽

Simulation Systems

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Expert simulation systems—recent developments and applications in flexible manufacturing systems

Computers & Industrial Engineering ◽

10.1016/0360-8352(89)90175-7 ◽

1989 ◽

Vol 16 (4) ◽

pp. 575-585 ◽

Cited By ~ 17

Author(s):

I. Sabuncuoglu ◽

D.L. Hommertzheim

Keyword(s):

Flexible Manufacturing ◽

Flexible Manufacturing Systems ◽

Manufacturing Systems ◽

Recent Developments ◽

Simulation Systems

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Dynamics and Temperature Simulation in Multi-Axis Milling

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.43.89 ◽

2008 ◽

Vol 43 ◽

pp. 89-96 ◽

Cited By ~ 2

Author(s):

Eduard Ungemach ◽

Tobias Surmann ◽

Andreas Zabel

Keyword(s):

Surface Quality ◽

Matrix Material ◽

Ground Surface ◽

Milling Process ◽

Surface Structures ◽

Dynamic Effects ◽

Lightweight Construction ◽

Surrounding Matrix ◽

Simulation Systems ◽

Very High

Lightweight extrusion profiles with reinforcement elements are promising news in the domain of lightweight construction. The machining of them suffers from several problems: Aside from the question of choosing a suitable tool, feed rate, and milling strategy, an excessive rise in temperature could lead to stress and even a distortion due to the differing thermal expansion of the reinforcement material and the surrounding matrix material. A simulation of the milling process could, in addition to force and collision calculations, recognize this case before manufacturing. For certain milling applications like seal surfaces, a certain roughness of the manufactured surface is necessary. In many other cases, a smooth surface of very high quality is desirable. Available simulation systems usually completely lack the simulation of dynamic effects, which have a great effect on the final surface quality, and therefore are not able to predict the resulting surface quality. In this paper simulation methods are presented that are capable of simulating the dynamic behavior of the tool in the milling process and the resulting flank and ground surface structures. Additionally, a fast temperature simulation for heterogeneous workpieces with reinforcement elements, which is based on the finite difference method and cellular automata, is introduced.

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