34 - hands-on research in complex...
TRANSCRIPT
34
Brownian dynamic for many itinerant oscillators
Figure 1. Brownian Motion
Yanitza Trosel
Centro Interdisciplinario de Física. Instituto Venezolano de Investigación
Científica.
m
x
X M
Figure 2. Colloidal system with many itinerant oscillators (left) and
representation of a itinerant oscillator (right).
Figure 3. Possible applications like ferromagnetic systems simulation
and DNA.
35
Heat Transfer Simulation in an Optimised Domestic
Anaerobic Digester
Abiodun Jegede PhD Research Proposal. Environmental Tech. Group, Wageningen, NL
• 40 million household low-cost anaerobic digesters have been built across
China and India (Lansing et al.,2010).
• Could contribute largely to the mitigation of greenhouse gases
• Low diffusion in Rural Africa
Biogas
Generator
25-100 kg manure/d & water or urine
Daily
feeding:
?
Hydraulic Retention Time: 35-70 days
Gas storage capacity equal to 35-70% of daily gas production
Daily gas production: 1-4 m³ biogas
Domestic biogas technology
• Proposal: Integration with
solar green house
• Unstirred and Unheated
• Emissions from domestic
biogas plant, ~15% overall
CH4 production
(Jan et al, 2008).
Heat Transfer to
Digester Wall
36
Supermodelling by combining imperfect models Igor Trpevski ‐Macedonian academy of Sciences and arts
A new computational strategy to improve weather/climate predictions
• Climate models used by the (IPCC) differ in projections
• The multi‐model mean usually outperforms any single model
• Can we do better? • Couple models so they interact and
form a consensus
Coupling mechanismsTrained/fitted from observational data
Explore and develop the concept over a hierarchy of models
Spectral model on a sphere
Lorenz 63 Lorenz ‘04 Family of models
37
Pag. 1/2
Application of Chaos in Technological disciplines:
-Information and communication technologies - Random number generation - Flow dynamics - Power system protection - Biomedical system analysis
Sifeu T. KINGNI
School on Hands-On Research in Complex Systems, 1-12 July 2013, Trieste, Italy
bzxyz
yrxxzy
xyx
)(
Lorenz System (1963)
Sifeu Takougang Kingni1,2, Lars Keuninckx2, Paul Woafo1, Guy Van der Sande2 and Jan Danckaert2
1 Laboratory of Modelling and Simulation in Engineering, Biomimetics and Prototypes (LaMSEBP) and TWAS Research Unit, University of Yaoundé I, Cameroon
2 Applied Physics Research Group (APHY), Vrije Universiteit Brussel, Belgium
Theoretical analysis and electronic implementation of a three-dimensional autonomous system
Chaotic Lorenz Attractor
With seven terms and two quadratic
nonlinearities
Pag. 2/2
2
x x y
y xz cz
z b x dz
With seven terms and two quadratic
nonlinearities including x2
Sifeu et al. system (2013):
Sifeu T. Kingni, Lars Keuninckx, Paul Woafo, Guy Van der Sande and Jan Danckaert, Nonlinear Dyn. 73, 1111-1123, (2013).
Chaotic Attractors of Differrent shapes Periodic Bursting Oscillations
Chaotic Bursting Oscillations
Sifeu T. KINGNI
School on Hands-On Research in Complex Systems, 1-12 July 2013, Trieste, Italy
38
Phase Diagram of Spiking Neural NetworksHamed Seyed-allaei, IPM
39
ENVI-MET
ADMS Temperature and Humidity model
Study of Urban Heat Island in Lecce (Italy) by mean of two diferent models How hot is your city?
Lecce Italy
Comparison 10-11 August 2012 Comparison 21 july-9 september 2012
Simulation by ADMS and ENVI-MET in different areas
°C
Comparison and evaluation…
Thank you… Enjoy the freshness
Area of interest
40
Modelling Effect of Toxic Metal on the Plant Growth Dynamics.
Preety Kalra1 and O.P. Misra,
School of Mathematics and Allied Sciencs,
Jiwaji University Gwalior, M.P., India.
Email: [email protected]
Figure 1(a). Graph between nutrient concentration in
root S0 and time t for model 1(with no toxic effect) and
for model 2(with toxic effect).
Figure 1(b). Graph between nutrient concentration in
shoot S1 and time t for model 1 (with no toxic effect)
and for model 2(with toxic effect).
Published in American Journal of Computational and Applied Mathematics
0 50 100 1500
2
4
6
8
10
12
t
S1(t
)
With No toxic effect
With toxic effect
0 50 100 1500
2
4
6
8
10
12
t
S0(t
)
With No toxic effect
With toxic effect
Figure 2(a). Graph between root dry weight Wr and time t
for model 1 (with no toxic effect) and for model 2(with
toxic effect).
Figure 2(b). Graph between shoot dry weight Ws and
time t for model 1(with no toxic effect) and for model
2(with toxic effect).
Publised in American Journal of Computational and Applied Mathematics
0 50 100 1500
2
4
6
8
10
t
Wr(t)
With No toxic effect
With toxic effect
0 50 100 1500
1
2
3
4
5
6
7
8
9
tW
s(t
)
With No toxic effect
With toxic effect
41
Phase-Transition to Synchrony in Chemically
and Electrically Coupled Neurons E. B. Megam Ngouonkadi, H. B. Fotsin and P. H. Louodop Fotso
•The brain is a complex system of neurons grouped into a functional
ensembles generally called microcircuits.
• Synchronization represents the general mechanism underlying transient
functionnal coupling of such neurons.
Time delays exist in such
system due to axonal
conduction and chemical
synaptic processes
Aim: the Combined Effect of
Dynamic Chemical and
Electrical Synapses in Time-
delay-induced Phase-transition
to Synchrony in Coupled
Bursting Neurons
E.B. Megam Ngouonkadi, H. B. Fotsin and P. H. Louodop (IOP) Physica scripta, in
press (2013)
42
Chua system coupled with linear system
kuuzyccz
zyxccyxhxyccx
3
2
1
)())((
)()( 101 mmxmxh
)( 101
0
mmxmxm
11 x
1x
1x
Controlling bi-stability through linear augmentation
Parameter values: cc1=15.6, cc2=1,
cc3=32, m0=-8/7, m1=-5/7, k=5, b =1.5 and
ε is the varying parameter.
+ εu
- ε(x-b)
Pooja Rani Sharma, M. D. Shrimali, A. Prasad, and U. Feudel , Physics Letters A, in press (2013)
Pooja, LNMIIT, Jaipur, India
Bistability is characterized as the
existence of more than one attractor at
the same parameter. .
The fraction of initial conditions
converging to a particular attractor.
fA = no of ic’s approaching attractor A
/ total no of ic’s
Controlling bi-stability through linear augmentation Pooja, LNMIIT, Jaipur, India
Conclusion
Basin Size
The transition from bistability to
monostability is achieved by
augmentation of the nonlinear
oscillator with a linear control
system without disturbing the
system parameter. One of the
attractor disappears at a critical
coupling strength in an control-
induced boundary crisis.
For more details :
Please visit my poster @ICTP
43
Characterizing Surface Roughness Using
Light Scattering Maryam Zamani, S. M. Fazeli, M. Salami, S. Vasheghani Farahani, and G. R. Jafari
Shahid Beheshti University, Tehran, Iran
h(x)
Scattered Light is a function of correlation function
Path Derivation of Scattered Wave (PDSW)
Intensity of scattered light
Comparison of correlation function estimated by our method with the original
exponential correlation function of rough surfaces
Exponential Correlation function
PDSW
44
Modelling of pollutant transport in Modelling of pollutant transport in Tagliamento and Isonzo estuariesTagliamento and Isonzo estuaries
Giulia Zanier, Vincenzo Armenio
University of Trieste
Isonzo estuaryTagliamento estuary
Aim: to simulate disperion of pollutants in the estuaries of regional rivers, using the LES-COAST model (IE-FLUIDS, University of Trieste).
Trieste
Contour plot of the streamwise velocity w
Open channel flow domain
Modelling of pollutant transport in Tagliamento and Isonzo estuariesModelling of pollutant transport in Tagliamento and Isonzo estuaries
ww
45
Even simple dynamical flows have complex behavior, including multistabilities and coexisting attractors!
Here is a system with 5 coexisting attractors:
Simple Dynamical Systems with Multiple AttractorsChunbiao Li and J.C. Sprott
Jiangsu Institute of economics and trade technology, ChinaUniversty of Wisconsin – Madison, US
,,
.
x y yzy xz yzz az xy b
Cross Sectionz = −1 a = 0.55b = 0.8.
y
x
LimitCycle
FixPoint
FixPoint
StrangeAttractor
StrangeAttractor
46
Computation of generalized dimensions of rough surfaces
R.Layeghnejad 1 and M. Sadegh Movahed 1,2,3
1 Department of Physics, Shahid Beheshti University, Tehran, Iran 2 School of Astronomy, Institute for Research in Fundamental Sciences, (IPM),, Tehran, Iran
3 The Abdus Salam International Centre for Theoretical Physics,Trieste , Italy
Motivation
1-Biology 2-Turbulence 3-High energy and cosmology 4-Surface sciences 5-Climate indicators 6-Bacterial colony growth 7-Diffusion-limited aggregation Etc.
I-Generation synthetic surfaces
1-α model 2- Random β model 3- Log-stable models 4-P model 5-Log-infinitely divisible cascades models Etc.
II- Computation generalized
Dimensions for the rough surfaces
We are going to Compute empirical and analytical relation between generalized dimensions using different methods such as: MF-TWDFA.
47
Numerical Modelling of Thin Plates using the Finite Element Method
Addisu Gezahegn
Addis Ababa University ,Ethiopia
University of Trieste
● High load-carrying capacity
● Light weight
● Twisting rigidity is high
● Widely Used in all field of Engineering
Objective
● Develop a computer program to get an appropriate thickness where thin plate theory works best
Compare ✔ With analytical solution✔ Commercial software
48
Effects of Blocking on the Characteristics of the Mediterranean CyclonesL. Shabrang, P. Irannejad, F. Amadi-Givi
1 Institute of Geophysics, University of Tehran 2university of Trieste, Department of Mathematics and Geosciences, School of Environmental and Industrial
Fluid MechanicsTrieste, Italy
Mediterranean: One of the Most Important Cyclogenetic Centers in the Northern Hemisphere
Blocking: The same pattern repeats for several days to even weeks
Data: Lower and upper levels synoptic maps, NCEP GFS data as the initial and boundary conditions.
Methodology:Selecting 2 cyclones which happened during winter(one blocked, one not blocked)Synoptic analysis,Running MM5 to simulate the 2 cyclonesand comparing the outputs,Running MM5 for the blocked cyclone withmodified fields of the geopotential height,horizontal component of wind and temperatureto remove the block,Comparing simulations of the three model runs.
Region of Study:
Zone of modification:The location of the blocking ridge(25 W – 20 E & 43 N – 85 N)
Effects of Blocking on the Characteristics of the Mediterranean Cyclones
Ridge Blocked Modified
Blocked
Modified
Non-Blocked
Conclusions:
The effects of Blocking on theMediterranean Cyclones Properties:
Increase in the life span of cyclones,
Change in the cyclone track towards the lower latitudes,
Negative anomaly in the zonal andpositive anomaly in the meridionalcomponents of the wind,
Intensification of the relative vorticityand potential vorticity
Increase in vertical motions, relativehumidity and precipitation,
Increase in temperature, potential temperature and temperature advection
Cyclones Track:
49
# History of our Universe: BIG-BANG
# CMB: As a stochastic field
# Simulation, Data modeling, Data analysis and image analysis 1) Best fit parameters 2) Non-Gaussianity 3) Finding some exotic features on this stochastic field
Cosmic microwave background radiation: Statistical View
S.M.S. MovahedDepartment of Physics, SBU & School of Astronomy, IPM, IRAN
www.smovahed.ir
We
are
here
Τ(θ,ϕ ) ≡T (θ,ϕ ) − T (θ,ϕ )
T (θ,ϕ )
S.M.S. Moavhed et. al., JCAP (2011); S.M.S. Movahed et al., (2012)
Road-map & expected results ObservationsTheoretical Models Measures
Simulations Mak
e new
stra
tegy
for
obse
rvati
on
Data modeling
• Self-Similarity nature of CMB determines the Universality class of mentioned fluctuation
• Probably, we can discriminate various theoretical models
50
Experimental Hydrodynamic
Simulations of Rotating Black Holes
Matt Penrice
University of Trieste ICTP
Experimental Setup
51
Lab-on-a-chip devices: relevance to developing
countries REGMI, Raju – NEPAL
Indian Institute of Science, Bangalore – INDIA
Scales down huge laboratory activities into a chip to,
address the global health issues
study biological events at single cell level
Deaths (in 2011) due to –
Malaria ~ 1 million – 90% sub-Saharan Africa
AIDS ~ 1.7 million – Africa
Diabetes ~ 4.6 million – India, China, USA
Crucial in detection of all these global diseases –
Also,
Pregnancy test
Immunoassay test
Nucleic acid test and many more …..
Imaging Cells on-the-go @ NanoBioImaging Laboratory
New Imaging Technology
using,
non-diffracting beam
(bessel beam)
light-sheet
Towards,
REAL TIME imaging of flowing cells
Deep tissue imaging
Microfluidics,
to create
environment for
cells - similar to
their natural states
52
Boundary Layer over a WindTurbine Airfoil
Faegheh GhorbaniShohrat
Green Energy• Wind energy
Wind Energy• High performance
Wind Turbine
Performanceof Blade of
Wind Turbine
1
Redesigning the blade!!Estimation of flow behavior over it
identifying the phenomenon nearthe surface of airfoil provides animportant understanding aboutflow analysis.
2
53
Modeling of a modern car suspension with magneto-rheological damping
SIEWE SIEWE Martin
Laboratory of Mechanics, University of Yaounde 1, Cameroon
Including
* time-delay
*Parametric excitation
Fig.1: Suspension
photo
from google
Fig.2: Model
sketch
In practical application, there
are many time-delay factors
for the semi-active
suspension system which
will cause significant effects,
therefore, it is necessary to
study the influence of time-
delay on dynamics of the
model.
Result and discussion
Time Delay
Perturbation
Threshold
amplitude
for chaos
54
55
56
Luminescent properties of ternary and fourfold combinations Tural Nagiyev, Bahadur Tagiev, Ogtay Tagiev, Hadiyya Ganbarova
Azerbaijan National Academy of Sciences, Institute of Physics
33, H.Javid ave., Az-1143, Baku, Azerbaijan
Luminescent Materials
Light sources Lasers
Experiments Results
Perkin Elmer LS 55 Fluorescence Spectrometer
(from 200 to 900 nm)
The scheme of the device
Excitation and emission spectra
of the Ca0.1Ba0.9Ga2S4 : Eu , Ce
crystal
Excitation and emission spectra
of the Ca0.1Ba0.9Ga2S4 : Eu, Ce
powder.
Emission spectra of
CaGa4O7Eu3+
Excitation spectra of
CaGa4O7Eu3+