Obstacle Handling of the Holonomic-driven Interactive Behavior-operated Shopping Trolley InBOT

2009 ◽  
pp. 463-472 ◽  
Author(s):  
Michael Göller ◽  
Thilo Kerscher ◽  
Johann Marius Zöllner ◽  
Rüdiger Dillmann
Keyword(s):  
Interactive Behavior

Designing Experiments for Model Identification of the Nitrification Process

1991 ◽  
Vol 24 (6) ◽  
pp. 9-16 ◽  
Author(s):  
P. J. Ossenbruggen ◽  
H. Spanjers ◽  
H. Aspegren ◽  
A. Klapwijk
Keyword(s):  
Mechanistic Model ◽  
Nonlinear Differential Equations ◽  
Model Identification ◽  
Reaction Rates ◽  
Variable Coefficients ◽  
Model Specification ◽  
First Order ◽  
Interactive Behavior ◽  
Batch Tests ◽  
Nitrification Process

A series of batch tests were performed to study the competition for oxygen by Nitrosomonas and Nitrobacter in the nitrification of ammonia in activated sludge. Oxygen uptake rate (OUR) and dynamic (compartment) models describing the process are proposed and tested. The OUR model is described by a Monod relationship and the biogradation process by a set of first order nonlinear differential equations with variable coefficients. The results show a mechanistic model and ten reaction rates are sufficient to capture the interactive behavior of the nitrification process. Methods for model specification, calibrating, and testing the model and the design of additional experiments are described.

Maternal interactive behavior and infant attachment: A meta-analysis

1996 ◽  
Vol 19 ◽  
pp. 423 ◽  
Author(s):  
Marianne S. de Wolff ◽  
Marinus H. Van Ijzendoorn ◽  
Rene van der Veer
Keyword(s):  
Meta Analysis ◽  
Infant Attachment ◽  
Interactive Behavior

scholarly journals Crowd intelligence evolution based on complex network

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jianran Liu ◽  
Wen Ji
Keyword(s):  
Complex Network ◽  
Intelligent Agents ◽  
Cooperative Behavior ◽  
Content Type ◽  
Interactive Behavior ◽  
Interactive Network ◽  
Interactive Relationship ◽  
Evolution Behavior ◽  
Crowd Intelligence ◽  
Self Organizing

Purpose In recent years, with the increase in computing power, artificial intelligence can gradually be regarded as intelligent agents and interact with humans, this interactive network has become increasingly complex. Therefore, it is necessary to model and analyze this complex interactive network. This paper aims to model and demonstrate the evolution of crowd intelligence using visual complex networks. Design/methodology/approach This paper uses the complex network to model and observe the collaborative evolution behavior and self-organizing system of crowd intelligence. Findings The authors use the complex network to construct the cooperative behavior and self-organizing system in crowd intelligence. Determine the evolution mode of the node by constructing the interactive relationship between nodes and observe the global evolution state through the force layout. Practical implications The simulation results show that the state evolution map can effectively simulate the distribution, interaction and evolution of crowd intelligence through force layout and the intelligent agents’ link mode the authors proposed. Originality/value Based on the complex network, this paper constructs the interactive behavior and organization system in crowd intelligence and visualizes the evolution process.

scholarly journals T cell sensing of antigen dose governs interactive behavior with dendritic cells and sets a threshold for T cell activation

2008 ◽  
Vol 9 (3) ◽  
pp. 282-291 ◽  
Author(s):  
Sarah E Henrickson ◽  
Thorsten R Mempel ◽  
Irina B Mazo ◽  
Bai Liu ◽  
Maxim N Artyomov ◽  
...  
Keyword(s):  
Dendritic Cells ◽  
T Cell ◽  
T Cell Activation ◽  
Cell Activation ◽  
Antigen Dose ◽  
Interactive Behavior

Behavior and Design of Web-Slotted Cold-Formed Channels Experiencing Local-Distortional-Global Interactive Buckling

2013 ◽  
Vol 351-352 ◽  
pp. 747-752
Author(s):  
Shuai Liu ◽  
Qi Jie Ma ◽  
Pei Jun Wang
Keyword(s):  
Effective Width ◽  
The Finite Element Method ◽  
Distortional Buckling ◽  
Buckling Mode ◽  
Geometric Imperfection ◽  
Interactive Behavior ◽  
Buckling Behavior ◽  
Initial Geometric Imperfection ◽  
Interactive Buckling ◽  
Shed Light

This article aims to shed light on the nonlinear local-distortional-global interactive behavior of web-slotted channel columns by use of the finite element method. The effects of three kinds of initial geometric imperfection based on different distortional buckling mode were evaluated. It indicates that different distortional buckling mode does little difference on the nonlinear interactive buckling behavior of web-slotted channels. Based on the extensive parametric study, some modifications were made to the traditional Effective Width Method for the practical design of web-slotted channel columns undergoing local-distortional-global interactive buckling.

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