@article{ISI:000255728900007,
title = {A family of deployable polygons and polyhedra},
author = {Gökhan Kiper and Eres Soylemez and Özgür A U Kisisel},
doi = {10.1016/j.mechmachtheory.2007.04.011},
issn = {0094-114X},
year = {2008},
date = {2008-05-01},
journal = {MECHANISM AND MACHINE THEORY},
volume = {43},
number = {5},
pages = {627-640},
abstract = {A new linkage type for resizing polygonal and polyhedral shapes is
proposed. The single degree-of-freedom planar linkages considered mainly
consist of links connected by revolute joints. It is shown that the
group of mechanisms obtained realize Cardanic Motion. The polyhedral
linkages proposed are constructed by implementing the proposed planar
linkages on the faces and interconnecting them by links at the vertices
to retain the solid angles of the polyhedral shape of interest. (C) 2007
Elsevier Ltd. All rights reserved.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{ozdemir2008power,
title = {Power transmission entropy},
author = {Serhan Ozdemir},
year = {2008},
date = {2008-01-01},
journal = {International Journal of Heavy Vehicle Systems},
volume = {15},
number = {1},
pages = {82--88},
publisher = {Inderscience Publishers},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{ISI:000243623800003,
title = {Measures of uncertainty in power split systems},
author = {Serhan Ozdemir},
doi = {10.1016/j.mechmachtheory.2006.04.008},
issn = {0094-114X},
year = {2007},
date = {2007-02-01},
journal = {MECHANISM AND MACHINE THEORY},
volume = {42},
number = {2},
pages = {159-167},
abstract = {This paper discusses the overlooked uncertainty inherent in every
transmission. The uncertainty aspect has been often, for the sake of
clarity, ignored. Instead, mechanical transmissions have been
characterized traditionally by their transmission efficacies. It is
known that transmission localities are sources of power loss, depending
on many factors, hence sources of uncertainty. Thus each transmission of
power should not only be designated by a constant of efficiency but also
by an expression of uncertainty, reflecting the probability of
transmission. Furthermore, Shannon's and Renyi's expressions of entropy
have been used to quantify this so-called transmission uncertainty. The
entropy of a transmitting unit is given in these two forms and then
compared. Practical formulations for flow optimization are given. (C)
2006 Elsevier Ltd. All rights reserved.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{ISI:000236746700006,
title = {Wind speed time series characterization by Hilbert transform},
author = {S Alpay and L Bilir and S Ozdemir and B Ozerdem},
doi = {10.1002/er.1156},
issn = {0363-907X},
year = {2006},
date = {2006-04-01},
journal = {INTERNATIONAL JOURNAL OF ENERGY RESEARCH},
volume = {30},
number = {5},
pages = {359-364},
abstract = {Predictions of wind energy potential in a given region are based on
on-location observations. The time series of these observations would
later be analysed and modelled either by a probability density function
(pdf) such as a Weibull curve to represent the data or recently by soft
computing techniques, such as neural networks (NNs). In this paper,
discrete Hilbert transform has been applied to characterize the wind
sample data measured on Izmir Institute of Technology campus area which
is located in Urla, Izmir, Turkey, in March 2001 and 2002. By applying
discrete Hilbert transform filter, the instantaneous amplitude, phase
and frequency are found, and characterization of wind speed is
accomplished. Authors have also tried to estimate the hourly wind data
using daily sequence by Hilbert transform technique. Results are
varying. Copyright (c) 2005 John Wiley & Sons, Ltd.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{ISI:000226442400009,
title = {Intelligence modeling of the transient asperity temperatures in meshing
spur gears},
author = {E Atan and S Ozdemir},
doi = {10.1016/j.mechmachtheory.2004.06.006},
issn = {0094-114X},
year = {2005},
date = {2005-01-01},
journal = {MECHANISM AND MACHINE THEORY},
volume = {40},
number = {1},
pages = {119-127},
abstract = {Temperature rise in the contact zone of meshing gears is a serious
problem in gear design. The temperature rise on lubricated surfaces may
result in the significant decrease on the material strength and
lubricant viscosity which reduces the film thickness, causing solid to
solid contact. The equations and the evaluations of the rise in
temperature were given in [Proc. VDI Berichte 2 (1665) (2002) 615-626]
and reiterated in this paper briefly. The data from [Proc. VDI
Berichte 2 (1665) (2002) 615-626] are used to establish an artificial
intelligence model where a multi layer feedforward neural network has
been employed. The model accepts surface roughness, gear ratio,
horsepower and the number of teeth as input variables, and outputs
calculated pinion surface asperity temperatures. The aim of the present
work is to provide a straightforward and simple way to compute the
asperity temperature rise for a given set of variables. R-square value
for the computed temperature values proves the method satisfactory. (C)
2004 Elsevier Ltd. All rights reserved.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{ISI:000240128000004,
title = {Local sparse coding control of CVPSTs},
author = {S Ozdemir},
doi = {10.1504/IJHVS.2005.006378},
issn = {1744-232X},
year = {2005},
date = {2005-01-01},
journal = {INTERNATIONAL JOURNAL OF HEAVY VEHICLE SYSTEMS},
volume = {12},
number = {2},
pages = {104-120},
abstract = {This paper discusses simulations of a control scheme based on locally
sparse coded networks (CMACs) for a novel previously proposed
continuously variable transmission (CVT), a hybrid continuously variable
power split transmission (CVPST) (Osdemir and Schueller, 2002).
Automotive transmissions match the speed and the torque of the power
source to the speed and torque requirements of the load. Properly
designed CVTs have shown potential to improve efficiency and
performance. The main advantage of CMACs is fast computation because of
their simple operational principles. Simulation results have shown that
memory contents either reach a stable limit cycle or an attractor based
on the selection of network parameters and the training method. Both
online and offline training are possible.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{ISI:000188216300035,
title = {Quantification of CaCO3-CaSO3 center dot 0.5H(2)O-CaSO4 center dot
2H(2)O mixtures by FTIR analysis and its ANN model},
author = {H Boke and S Akkurt and S Ozdemir and EH Gokturk and ENC Saltik},
doi = {10.1016/j.matlet.2003.07.008},
issn = {0167-577X},
year = {2004},
date = {2004-02-01},
journal = {MATERIALS LETTERS},
volume = {58},
number = {5},
pages = {723-726},
abstract = {A new quantitative analysis method for mixtures of calcium carbonate
(CaCO3), calcium sulphite hemihydrate (CaSO3.1/2H(2)O) and gypsum
(CaSO4.2H(2)O) by FTIR spectroscopy is developed. The method involves
the FTIR analysis of powder mixtures of several compositions on KBr disc
specimens. Intensities of the resulting absorbance peaks for CaCO3,
CaSO3.1/2H(2)O and CaSO4.2H(2)O at 1453, 980, 1146 cm(-1) were used as
input data for an artificial neural network (ANN) model, the output
being the weight percent compositions of the mixtures. The training and
testing data were randomly separated from the complete original data
set. Testing of the model was done with successfully low-average error
levels. The utility of the model is in the potential ability to use FTIR
spectrum to predict the proportions of the three substances in unknown
mixtures. (C) 2003 Elsevier B.V. All rights reserved.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{ISI:000186662500004,
title = {Fuzzy logic algorithm for runoff-induced sediment transport from bare
soil surfaces},
author = {G Tayfur and S Ozdemir and VP Singh},
doi = {10.1016/j.advwatres.2003.08.005},
issn = {0309-1708},
year = {2003},
date = {2003-12-01},
journal = {ADVANCES IN WATER RESOURCES},
volume = {26},
number = {12},
pages = {1249-1256},
abstract = {Utilizing the rainfall intensity, and slope data, a fuzzy logic
algorithm was developed to estimate sediment loads from bare soil
surfaces. Considering slope and rainfall as input variables, the
variables were fuzzified into fuzzy subsets. The fuzzy subsets of the
variables were considered to have triangular membership functions. The
relations among rainfall intensity, slope, and sediment transport were
represented by a set of fuzzy rules. The fuzzy rules relating input
variables to the output variable of sediment discharge were laid out in
the IF-THEN format. The commonly used weighted average method was
employed for the defuzzification procedure.
The sediment load predicted by the fuzzy model was in satisfactory
agreement with the measured sediment load data. Predicting the mean
sediment loads from experimental runs, the performance of the fuzzy
model was compared with that of the artificial neural networks (ANNs)
and the physics-based models. The results of showed revealed that the
fuzzy model performed better under very high rainfall intensities over
different slopes and over very steep slopes under different rainfall
intensities. This is closely related to the selection of the shape and
frequency of the fuzzy membership functions in the fuzzy model. (C) 2003
Elsevier Ltd. All rights reserved.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{ISI:000183190600005,
title = {The use of GA-ANNs in the modelling of compressive strength of cement
mortar},
author = {S Akkurt and S Ozdemir and G Tayfur and B Akyol},
doi = {10.1016/S0008-8846(03)00006-1},
issn = {0008-8846},
year = {2003},
date = {2003-07-01},
journal = {CEMENT AND CONCRETE RESEARCH},
volume = {33},
number = {7},
pages = {973-979},
abstract = {In this paper, results of a project aimed at modelling the compressive
strength of cement mortar under standard curing conditions are reported.
Plant data were collected for 6 months for the chemical and physical
properties of the cement that were used in model construction and
testing. The training and testing data were separated from the complete
original data set by the use of genetic algorithms (GAs). A
GA-artificial neural network (ANN) model based on the training data of
the cement strength was created. Testing of the model was also done
within low average error levels (2.24%). The model was subjected to
sensitivity analysis to predict the response of the system to different
values of the factors affecting the strength. The plots obtained after
sensitivity analysis indicated that increasing the amount Of C3S, SO3
and surface area led to increased strength within the limits of the
model. C2S decreased the strength whereas C(3)A decreased or increased
the strength depending on the SO3 level. Because of the limited data
range used for training, the prediction results were good only within
the same range. The utility of the model is in the potential ability to
control processing parameters to yield the desired strength levels and
in providing information regarding the most favourable experimental
conditions to obtain maximum compressive strength. (C) 2003 Elsevier
Science Ltd. All rights reserved.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}