Component-model based detection and recognition of road vehicles

2015 ◽  
Author(s):  
Min Wang ◽  
Liangwei Jiang ◽  
Wenjie Lu ◽  
Aifen Fang
Keyword(s):  
Component Model ◽  
Road Vehicles ◽  
Model Based ◽  
Detection And Recognition

Modelling of activated sludge for textile wastewaters

1998 ◽  
Vol 38 (4-5) ◽  
pp. 9-17 ◽  
Author(s):  
F. Germirli Babuna ◽  
D. Orhon ◽  
E. Ubay Çokgör ◽  
G. Insel ◽  
B. Yaprakli
Keyword(s):  
Activated Sludge ◽  
Comprehensive Evaluation ◽  
Component Model ◽  
Activated Sludge Process ◽  
Experimental Basis ◽  
Model Simulations ◽  
Effluent Quality ◽  
Model Based ◽  
Major Process ◽  
Textile Wastewaters

A comprehensive evaluation of four different textile wastewaters was carried out to set the experimental basis for the modelling of activated sludge process. Experiments involved beside conventional characterization, detailed COD fractionation and assessment of major kinetic and stoichiometric coefficients by means of respirometric measurements. A multi-component model based on the endogenous decay concept was used for the kinetic interpretation and design of activated sludge. The fate and variation of major process components affecting effluent quality with the sludge age were evaluated by means of model simulations.

Common N1 and mismatch negativity neural evoked components are revealed by independent component model-based clustering analysis

2012 ◽  
Vol 49 (11) ◽  
pp. 1622-1631 ◽  
Author(s):  
Diego Lozano-Soldevilla ◽  
Josep Marco-Pallarés ◽  
Lluís Fuentemilla ◽  
Carles Grau
Keyword(s):  
Clustering Analysis ◽  
Mismatch Negativity ◽  
Independent Component ◽  
Component Model ◽  
Model Based Clustering ◽  
Model Based

scholarly journals Modeling and Verification of Reconfigurable Printing System Based on Process Algebra

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Rubai Luo ◽  
Shasha Gao ◽  
Huailin Li ◽  
Shisheng Zhou
Keyword(s):  
Production Process ◽  
Formal Verification ◽  
Process Algebra ◽  
Component Model ◽  
System Model ◽  
Good Reliability ◽  
Calibration Process ◽  
Model Based ◽  
Printing System ◽  
Verification Process

With the print production process as the research object in this paper, the intelligent-context-reconfigurable printing system model is analyzed using process algebra (PA). First, combined with the printing production process, the overall framework of the system model, based on the agent-resource-worker (ARW) component model, is proposed. Abstract and formal verification of the system model are then carried out, and the verification process of the complex calibration process is discussed. Finally, the security and progress attributes of the model are validated by mCRL2. The results show that the system model has good reliability.

Target Acquisition in Realistic Terrain

1977 ◽  
Vol 21 (3) ◽  
pp. 249-253 ◽  
Author(s):  
Lawrence A. Scanlan
Keyword(s):  
Mathematical Models ◽  
Target Detection ◽  
Optical Sensor ◽  
Component Model ◽  
Target Acquisition ◽  
Target Search ◽  
Average Luminance ◽  
Two Component ◽  
Uniform Background ◽  
Detection And Recognition

A number of mathematical models of target acquisition have been developed to predict the performance of electro-optical sensor systems. None of these models, however, adequately treat the influence of the background scene on operator tactical target detection and recognition. Most assume a uniform background of some average luminance: a situation that is unlikely to occur in any realistic mission. The failure to include the influence of backgrounds of varying complexity may result in erroneous predictions of performance that are highly optimistic. The reported research was directed toward the issues of background scene complexity. The data are interpreted as evidence for a two-component model of target search and detection.

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