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![1. Swimming modes of fish. The vertical axis aligns swimming modes based on the role of body and fins in propulsion. The parts actively contributing to propulsion are shaded. The horizontal axis distributes the swimming modes based on the undulant and oscillatory motion. Adapted from [6].](profile/Jaas-Jezov/publication/283776953/figure/fig1/AS:669546029531150@1536643621988/Swimming-modes-of-fish-The-vertical-axis-aligns-swimming-modes-based-on-the-role-of.png)
1. Swimming modes of fish. The vertical axis aligns swimming modes based on the role of body and fins in propulsion. The parts actively contributing to propulsion are shaded. The horizontal axis distributes the swimming modes based on the undulant and oscillatory motion. Adapted from [6].
Source publication
![Figure 2.1. (a) MS54XX-AM pressure sensor, adapted from [67]. (b)...](profile/Jaas-Jezov/publication/283776953/figure/fig5/AS:669546033729540@1536643622164/a-MS54XX-AM-pressure-sensor-adapted-from-67-b-MS5401-AM-pressure-sensors_Q320.jpg)
This thesis uses fish as inspiration to build a new kind of a sensory system for
unmanned underwater vehicles. We describe fishlike robots that are equipped
with pressure sensors to investigate the flow field around them. We also show
how to interpret the information gathered with these sensors and how to detect
periodically turbulent flow regions...
Citations
... This boundary layer develops until it reaches a critical point termed the separation point, where the fluid particles overlap resulting in a wake region behind the body as shown in Fig. 1. This wake region is commonly termed as the 'Kármán Vortex Street' where periodic shedding of these vortices from the surface of the body induces periodic pressure differentials on the structure [3]. ...
A bladeless wind turbine utilizes vortex formation to extract energy from the wind. Vortex formation are small swirls of air which occur as a result of the geometric shape of the device. This study designed a bladeless wind turbine which incorporates a structural support at a distance offset from the center axis of the cylindrical mast. Springs were added to the final design as means to provide the stiffness required to obtain resonance with the vortex shedding frequency and to also assist in supporting the structure. The analysis was conducted at wind speeds 1m/s, 4m/s and 7m/s, where the geometrical properties of the device remained constant. MATLAB was used to analyze the equation of motion derived for the device. The variables of interest in the studies were mainly the angular acceleration, power coefficient and the resonant frequency. The results obtained showed that for wind speeds above and below the designed wind speed of 4m/s the angular velocity remained the same. Results of this model showed that high amplitudes occur only at resonance. Results showed that with the current power generating mechanism, the average efficiency attainable is approximately 2% at steady state. This is the theoretical efficiency which could be achieved based on the current model. It was discovered that for linearly tapered cylinders, increased oscillations occurred during the ‘lock-in range’ for a range of reduced velocities. The reduced velocity of the designed wind speed is approximately Vr = 5m/s. This value lies within the theoretical range lock in range where increased oscillations are expected to occur between reduced velocities of 4.75m/s and 8m/s [1].
... This approach has been chosen in various other studies made in the framework of the FILOSE project [123]. Ježov for example has developed 3 static platforms with an artificial lateral line consisting of piezoresistive off-the-shelf pressure sensors [140]. These sensors can be mounted inside the vehicle so that they are almost fully separated from the external environment. ...
Marine and Underwater resources are important part of the economy of many countries. This requires significant financial resources into their construction and maintentance. Robotics is expected to fill this void, by automating and/or removing humans from hostile environments in order to easily perform maintenance tasks. The Robocademy Marie Sklodowska-Curie Initial Training Network was funded by the European Union's FP7 research program in order to train 13 Fellows into world-leading researchers in Marine and Underwater Robotics. The fellows developed guided research into three areas of key importance: Autonomy, Disturbance Rejection, and Perception. This paper presents a summary of the fellows' research in the three action lines. 71 scientific publications were the primary result of this project, with many other publications currently in the pipeline. Most of the fellows have found employment in Europe, which shows the high demand for this kind of experts. We believe the results from this project are already having an impact in the marine robotics industry, as key technologies are being adopted already.
Extraction of useful information from cardiac signals for the diagnosis of diseases
and judgment of heart function is of special interest to medical personnel. Thus,
the development of effective, robust, and efficient diagnostic tools for heart diseases is
required. The aim when developing new techniques and tools is to minimize the
required cost and long hospitalization time, and increase the patient’s ease and safety. In
accordance with this statement, in this PhD thesis, non-invasive electrical-based
methods are of special interest. However, extracting useful information from measured
biomedical data is not always trivial. The research community, including our previous
contributions, has developed many algorithms for separating the signals of different
origins, e.g., cardiac, respiratory, and muscular activities, etc. Nevertheless, none of the
existing methods provides any mechanism to evaluate the performance of the developed
algorithms. Thus, there exist uncertainties regarding the properties of the signals, such
as its amplitude, waveform, components, and the origin of the signal waveform, which,
in turn, limits the quality of the diagnostics of diseases and conditions.
In this PhD thesis, it is argued that modelling the measured signals offers several
advantages to help dealing with the above problems, as compared to relying on
measured data only. By using a formalized representation, the parameters of the signal
model can be easily manipulated and/or modified, thus providing mechanisms that
allow researchers to reproduce and control such signals.
In turn, having such a formalized signal model makes it possible to develop
computer tools that can be used for manipulating and understanding how the signal
changes depend on various heart conditions, as well as for generating input signals for
experimenting with and evaluating the performance of, e.g. useful signal extraction
methods.
In this work, the focus is on bioelectrical information, mainly electrical bioimpedance
(EBI). Once the EBI is measured, it is necessary to model the corresponding
signals for analysis. In this case, the so-called advanced user should have to follow a
structured approach to move from real measured data to the model of the corresponding
signals. For this, a generic framework is proposed in the PhD work. It has been used to
guide the modelling of the impedance cardiography (ICG) and impedance respirography
(IRG) signals. Here, based on statistical parameters and visual fit, a Fourier series is
selected to model the ICG and IRG signals.
The proposed framework has been used to guide the development of the
corresponding bio-impedance signal simulator (BISS). The internal details of the
simulator are presented, including the various model parameters and the mechanisms for
adding modulation, noise, and motion artefacts. As a result, the implemented BISS
generates simulated EBI signals and BISS gives freedom to the end-user to control the
essential properties of the generated EBI signals depending on his/her needs. Predefined
human conditions/activities states are also included for ease of use.
