Parking Simulation and Guidance in a Model Environment

2006 ◽  
Author(s):  
Kamen Kanev ◽  
Nikolay Mirenkov ◽  
Akifumi Urata
Keyword(s):  
Model Environment

Influence of model environment complexity on corrosion mechanism of biodegradable zinc alloys

2021 ◽  
pp. 109520
Author(s):  
Vojtech Hybasek ◽  
Jiri Kubasek ◽  
Jaroslav Capek ◽  
Dino Alferi ◽  
Jan Pinc ◽  
...  
Keyword(s):  
Corrosion Mechanism ◽  
Zinc Alloys ◽  
Model Environment

scholarly journals THE EFFECT OF SCIENCE LEARNING MODEL, ENVIRONMENT, TECHNOLOGY, AND SOCIETY ASSISTED BY ENVIRONMENTAL MEDIA ON SCIENCE KNOWLEDGE COMPETENCE OF GRADE V ELEMENTARY SCHOOL STUDENTS OF SRIKANDI CLUSTER EAST DENPASAR IN ACADEMIC YEAR 2017/2018

2018 ◽  
Vol 2 (2) ◽  
pp. 100
Author(s):  
Putu Suwi Arista dewi ◽  
I N Jampel ◽  
I N L Jayanta
Keyword(s):  
Statistical Analysis ◽  
Science Learning ◽  
Learning Model ◽  
Choice Test ◽  
Control Group ◽  
Class V ◽  
Environmental Media ◽  
Significant Difference ◽  
Experimental Group ◽  
Model Environment

This study aims to determine the effect of Science Learning Model, Environment, Technology, Society assisted Environmental media on Science Competence of grade V students. The type of this research was quasi experiment with non-equivalent group design. The population in this study was the entire class V in the Srikandi cluster East Denpasar amounted to 362 students. The sample of this research was class V of SDN 5 Sumerta were 28 students as experimental group and class V of SDN 10 Sumerta were 28 students as control group. Data collected with multiple choice test instruments, then was analyzed using descriptive statistical analysis and inferential statistical analysis (t-test). Based on the data analysis, tcount = 2.500 and ttabel (5% significance level) = 2,000. This means that tcount = 2,500> ttabel = 2,000. There was a significant difference of science competence between groups of students who was taught by science learning model, Environment, Technology, Society assisted Environmental media and group of students which is learn through conventional learning. The average value of science competence of the experimental group ( ) is 79.00 while the mean score of control group students ( ) is 74.07. This means =79,00 > =74,07, so it can be concluded that the application of learning model of Science, Environment, Technology, Society assisted Environmental media influenced the competence of science. Based on the results of this study it is suggested that the results of this study can be used as a relevant study, especially as supporting the next research.

Preventing the Increasing Resistance to Change through a Multi-Model Environment as a Reference Model in Software Process Improvement

2014 ◽  
pp. 97-118
Author(s):  
Mirna Muñoz ◽  
Jezreel Mejia
Keyword(s):  
Process Improvement ◽  
Reference Model ◽  
Resistance To Change ◽  
Software Industry ◽  
Software Process ◽  
Software Process Improvement ◽  
Organizational Process ◽  
Best Fit ◽  
Model Environment ◽  
The Way

Organizational process improvement offers a key opportunity for organizations to become more efficient. As a consequence, the software industry, among others, is more interested in software process improvement. However, one of the most common issues identified when an organization tries to implement a software process improvement initiative is the difficulty that they face in selecting the reference model and its adaptation to the current organization scenario. Moreover, selecting the wrong reference model according to the way the organization works becomes a trigger to increase resistance to change. This chapter presents a methodology that allows the use of a multi-model environment as a reference model so that the organization can select best practices that best fit the way it works to implement software process improvement. The results of the implementation of an improvement using the methodology proposed are also presented.

Knowledge Processing Using EKRL for Robotic Applications

2017 ◽  
Vol 11 (4) ◽  
pp. 1-21 ◽  
Author(s):  
Omar Adjali ◽  
Amar Ramdane-Cherif
Keyword(s):  
Probabilistic Reasoning ◽  
Markov Logic Networks ◽  
Knowledge Processing ◽  
Markov Logic ◽  
Semantic Framework ◽  
First Order ◽  
Knowledge Representation Language ◽  
Representation Language ◽  
Robotic Applications ◽  
Model Environment

This article describes a semantic framework that demonstrates an approach for modeling and reasoning based on environment knowledge representation language (EKRL) to enhance interaction between robots and their environment. Unlike EKRL, standard Binary approaches like OWL language fails to represent knowledge in an expressive way. The authors show in this work how to: model environment and interaction in an expressive way with first-order and second-order EKRL data-structures, and reason for decision-making thanks to inference capabilities based on a complex unification algorithm. This is with the understanding that robot environments are inherently subject to noise and partial observability, the authors extended EKRL framework with probabilistic reasoning based on Markov logic networks to manage uncertainty.

Possibilities for Application of Associative Objects with Built-in Intelligence in Engineering Modeling

2004 ◽  
Vol 8 (5) ◽  
pp. 544-552 ◽  
Author(s):  
László Horváth ◽  
◽  
Imre J. Rudas
Keyword(s):  
Mechanical Systems ◽  
Decision Procedures ◽  
Adaptive Model ◽  
Product Models ◽  
Active Modeling ◽  
Is Development ◽  
Definition Of ◽  
Engineering Modeling ◽  
Intelligent Model ◽  
Model Environment

An analysis is given in this paper for definition of features of environment adaptive model objects having the capability of description of mutual effects of engineering objects inside and associative engineering objects from the outside world. The final aim of the research is development of environment adaptive model objects for integration in or communication with product models. The model objects, targeted by the reported research, are able to carry and interpret all information and knowledge necessary for their processing. Creation and application of objects during engineering decision procedures as well as revision of earlier decisions during development of products are considered. This paper discusses concepts and features of intelligent model objects as they applied for environment-active modeling. It also reports an analysis of effects of changes in the model environment on model of intelligent engineering object. Following this, paper explains relationships within model objects for the purpose of engineering activities in mechanical systems. Finally, some considerations about implementation of the proposed modeling are concluded.

scholarly journals Characterization of the growth of Lactobacillus plantarum in milk in dependence on temperature

2016 ◽  
Vol 9 (2) ◽  
pp. 104-108 ◽  
Author(s):  
Zuzana Matejčeková ◽  
Denisa Liptáková ◽  
Sabína Spodniaková ◽  
Ľubomír Valík
Keyword(s):  
Stationary Phase ◽  
Lactobacillus Plantarum ◽  
Specific Growth ◽  
Growth Dynamics ◽  
Exponential Phase ◽  
Effect Of Temperature ◽  
Cultivation Temperature ◽  
Ph Values ◽  
Model Environment

AbstractThe effect of temperature on the growth dynamics ofLactobacillus plantarumin the model environment of UHT milk was investigated. Based on the experiments between temperatures ranged from 8 to 40 °C, growth dynamics of the studied isolate was positively determined by the cultivation temperature that led to increasing intensity of growth in the exponential phase (except for temperatures 38 and 40 °C). Final counts in stationary phase have reached concentrations about 107CFU · ml−1from initial 103CFU · ml−1, except for marginal 8 and 40 °C. Experimentally, it was found, that optimal temperature was close to 37 °C, where the fastest specific growth rate in an exponential phase was recorded (μ = 0.7683 h−1, td= 54 min) and the stationary phase was reached after 24 h of incubation. During the growth and multiplication ofLb. plantarum, no significant decrease of pH values in comparison to initial ones in dependence on temperature were determined (0.00—0.24 units).

scholarly journals Comparison between Singular Vectors and Breeding Vectors as Initial Perturbations for the ECMWF Ensemble Prediction System

2008 ◽  
Vol 136 (11) ◽  
pp. 4092-4104 ◽  
Author(s):  
Linus Magnusson ◽  
Martin Leutbecher ◽  
Erland Källén
Keyword(s):  
Singular Vector ◽  
Initial Perturbation ◽  
Error Variance ◽  
Ensemble Prediction ◽  
Prediction System ◽  
Ensemble Prediction System ◽  
Perturbation Energy ◽  
Analysis Error ◽  
The Tropics ◽  
Model Environment

Abstract In this paper a study aimed at comparing the perturbation methodologies based on the singular vector ensemble prediction system (SV-EPS) and the breeding vector ensemble prediction system (BV-EPS) in the same model environment is presented. A simple breeding system (simple BV-EPS) as well as one with regional rescaling dependent on an estimate of the analysis error variance (masked BV-EPS) were used. The ECMWF Integrated Forecast System has been used and the three experiments are compared for 46 forecast cases between 1 December 2005 and 15 January 2006. By studying the distribution of the perturbation energy it was possible to see large differences between the experiments initially, but after 48 h the distributions have converged. Using probabilistic scores, these results show that SV-EPS has a somewhat better performance for the Northern Hemisphere compared to BV-EPS. For the Southern Hemisphere masked BV-EPS and SV-EPS yield almost equal results. For the tropics the masked breeding ensemble shows the best performance during the first 6 days. One reason for this is the current setup of the singular vector ensemble at ECMWF yielding in general very low initial perturbation amplitudes in the tropics.

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