Vassilios C Moussas

University of West Attica (ex TEI of Athens) · Civil Engineering, Lab of Applied Informatics

Smart transport for smart cities: our article presents an innovative and original idea in the field of urban air transport with a new type of manned drone. This scenario is analysed starting from some initial futuristic ideas up to the reality of the construction of such a vehicle. After a brief presentation of a list of manned aerial vehicles (man...

In mechanical rock projects, it is often required to determine the uniaxial compressive strength (UCS). For the direct estimation of this parameter, destructive tests of high-quality core specimens of proper geometry are needed. However, these tests are demanding, and sometimes, it is difficult to obtain suitable specimens from highly porous, highl...

Malware creators generate new malicious software samples by making minor changes in previously generated code, in order to reuse malicious code, as well as to go unnoticed from signature-based antivirus software. As a result, various families of variations of the same initial code exist today. Visualization of compiled executables for malware analy...

The uniaxial compressive strength (UCS) of intact rock is one of the most important parameters required and determined for rock mechanics studies in engineering projects. The limitations and difficulty of conducting tests on rocks, specifically on thinly bedded, highly fractured, highly porous and weak rocks, as well as the fact that these tests ar...

During the period January 2014 – October 2018, four strong earthquakes occurred in the Ionian Sea, Greece. A rich aftershock sequence followed each event of them. More analytically, according to the manual solutions of National Observatory of Athens, the first event (K1), occurred on 26 January 2014 in Kefallinia Island with magnitude ML = 5.8, whi...

The paper presents the application of an islands’ smartification and sustainability index the Smart Sustainable Islands Index or S2I2. In addition to the classic parameters, the index is designed to include and emphasize specific parameters of the islands that are not usually found or they are less important in a mainland city. The structure and pa...

The objective of this work is to propose a method to improve the sensor layouts for building structural health monitoring. The selected layouts should give the maximum information on the dynamic behavior of a building due to external forces while taking into account any constraints on accessibility, cost, and sensor number or type available. The pr...

This paper proposes a novel intrusion detection system (IDS) based on Artificial Neural Networks (ANNs). The system is still under development. Two types of attacks have been tested so far: DDoS and PortScan. The experimental results obtained by analyzing the proposed IDS using the CICIDS2017 dataset show satisfactory performance and superiority in...

The Coastal Transport Information System (Co.Tr.I.S) is a multifunction information system that is developed for the effective design of coastal transportation lines. The system incorporates several subsystems which include the models, tools, and techniques that support the design of improved coastal networks. Co.Tr.I.S main aim is to support any d...

With the rapid expansion of computer networks, security has become a crucial issue, either for small home networks or large corporate intranets. A standard way to detect illegitimate use of a network is through traffic monitoring. Consistent modelling of typical network activity can help separate the normal use of the network from an intruder activ...

Coastal Transport Integrated System (Co.Tr.I.S) is an under development integrated spatial information system for the optimal design of coastal transport lines. This fundamental and applied research project was co-financed from the European Union (EU) and the Greek government. We summarily present the system developed components (system’s functions...

This paper has several aims: a) the presentation of a critical analysis of the terms “smart sustainable cities” and “smart sustainable islands” b) the presentation of a number of principles towards to the development methodological framework of concepts and actions, in a form of a manual and actions guide, for the smartification and sustainability...

With the rapid expansion of computer networks, security has become a crucial issue, either for small home networks or large corporate intranets. A standard way to detect illegitimate use of a network is through traffic monitoring. Consistent modelling of typical network activity can help separate the normal use of the network from an intruder activ...

Financial & Technical Optimization of Engineering Works (textbook in Greek)

Co.Tr.I.S is a multifunction information system that will be used for the effective design of coastal transportation lines. Co.Tr.I.S incorporates six subsystems (S1-S6) which include models, tools and techniques that may support the design of improved coastal networks. A major contribution expected by Co.Tr.I.S is to support the decision making pr...

Simulation workflow optimization has become an important investigation area, as it allows users to process large scale & heterogeneous problems in distributed environments in a more flexible way. The most characteristic categories of such problems come from the aerospace and the automotive industries. In this work a specially developed algorithm th...

The multi-model partitioning approach to adaptive estimation and control was introduced by Lainiotis forty years ago. Since then, three generations of multi-model partitioning algorithms have appeared and numerous applications of the multi-model partitioning approach have been developed. In this paper, a concise review of the theory underlying the...

The aim of this paper is to present the optimization methodology developed in the frame of a Coastal Transport Information System. The system will be used for the effective design of coastal transportation lines and incorporates subsystems that implement models, tools and techniques that may support the design of improved networks. The role of the...

In this paper we present an array configuration optimization technique and the associated experimental results from wind tunnel experiments of a scaled model of a regional aircraft with counter-rotating open-rotors. A Genetic Algorithm optimization tool is developed and used during the array configuration phase in order to optimally reduce the numb...

Simulation workflow optimization has become an important investigation area as it allows users to process large scale & heterogeneous problems in distributed environments in a more flexible way. The most characteristic category of such problems comes from the aerospace industry. In this work a specially developed Simulation Workflow Optimization (S...

Long-term environmental sustainability in the manufacturing environment requires that artifacts, materials, systems and processes be designed to minimize energy and waste and to maximize reuse and utility. The sustainability Optimization task is typically an attempt to compromise conflicting goals, such as: minimize negative impact on environment,...

In this paper we present an array configuration optimization technique and the associated experimental results from wind tunnel experiments of a scaled model of a regional aircraft with counter rotating open rotors. A Genetic Algorithm optimization tool is developed and used during the array configuration phase in order to optimally reduce the numb...

The increased interest on processing large scale & heterogeneous problems in distributed environments created the need of software tools that would support such complex workflows. Especially, simulation workflow scheduling has become an important area as it allows users to process large scale problems in a more flexible way. In most complex simulat...

In this paper the concept of the Smart Sustainability Optimization (SSO) is presented; a specialized optimization tool for manufacturing environments. The role of the SSO is to form an integral part of a Manufacturing Execution System and interact with other subsystems (conventional scheduler) or tools (PLM, ERP) in order to provide improved and op...

In this paper we present the very first experimental results from wind tunnel experiments of a scaled model of a regional aircraft with counter-rotating open-rotors and the application of beam-forming techniques to detect the noise sources. In addition, a Genetic Algorithm optimization tool is used to optimally reduce the number of elements of an a...

This paper deals with the problem of improving the directional response pattern of a beamforming array using genetic algorithms to select the optimal geometry and microphone positions. The methodology adopted is based on the simultaneous optimization of two metrics from the response pattern, i.e., dynamic range & angular resolution. Array optimizat...

This paper presents the development and application of a phased-array simulator software package, for the design, simulation and response evaluation of different acoustic arrays. The developed tool offers the capability to select specific or random array configuration, frequency ranges, microphones, directivity, etc, and, calculates the 2D & 3D res...

The increased interest on processing large scale & heterogeneous problems in distributed environments creates the need for more flexible and easily accessed software tools. In this paper we present the development of a web based optimization tool that can support remotely the solution of specific optimization problems. By using web services, the op...

In this paper we present the very first experimental results from wind tunnel experiments of a scaled model of a regional aircraft with counter-rotating open-rotors and the application of beam-forming techniques to detect the noise sources. In addition, a Genetic Algorithm optimization tool is used to optimally reduce the number of elements of an a...

Simulation workflow scheduling becomes an important area as it allows users to process large scale & heterogeneous problems in a more flexible way. In most complex simulation workflows the user has to select the optimal use of local and external resources that will satisfy its requirements under the specific time & cost constraints thus involving m...

This paper investigates the development of an optimization ontology model. The optimization ontology assists in exchanging semantic project information when working with optimization problems and ontology end users are developers sharing domain knowledge as well as instance knowledge of the optimization methods and tools. This work investigates the...

This paper presents the development and application of a phased-array simulator software package, for the design, simulation and response evaluation of different acoustic arrays. The developed tool offers the capability to select specific or random array configuration, frequency ranges, microphones, directivity, etc, and calculates the 2D & 3D resp...

This paper deals with the problem of improving the directional response pattern of a beamforming array using Genetic Algorithms to select the optimal geometry and microphone positions. The methodology adopted is based on the simultaneous optimization of two metrics from the response pattern, i.e., dynamic range & angular resolution. Array optimizat...

This paper presents the key objectives from a European Union funded collaborative project investigating the noise installation effects for novel regional advanced aircraft concepts using Open Rotor (OR) propulsion systems. The consortium for the project: WENEMOR, will address the topic by carrying out aero-acoustic measurements in the open test sec...

This paper presents a review of recent advances of wireless sensor network products for structural health monitoring (SHM) of large structures. The reviewed hardware products are classified based on their characteristics and they are investigated and selected for their efficiency, ease of use, connectivity, energy consumption, and other characteris...

This paper presents a Fault Detection tool based on Artificial Neural Networks (ANN) as it was developed and implemented for the validation and verification towards certification from simulation of aircraft electrical networks. Furthermore, this fault detection tool was designed and implemented via the internet utilizing online collaboration platfo...

This paper presents the Human Ontology Model for its Environmental Response (H.O.M.E.R.) as it was applied as part of the design of an aircraft passenger cabin and its Environmental Control System (ECS). H.O.M.E.R. was implemented as part of an automated optimization loop of the ModeFRONTIER software, which combined the cabin’s CFD model, H.O.M.E.R...

Vulnerable Road Users (VRUs) usually have small radar cross-sections (RCS) and may be missed by conventional radars in a multi-target environment. Data fusion from more sensors and radars having different characteristics seems a promising solution to the problem. In this paper, we present the application of a radar/sensor fusion and processing arch...

Long-term environmental sustainability requires that artifacts, materials, systems and processes be designed to minimize energy and waste and to maximize reuse and utility. The sustainability optimization task is typically an attempt to compromise conflicting goals, such as: minimize negative impact on environment, maximize quality, minimize cost,...

This paper presents an adaptive approach to the problem of estimating the direction of arrival angles of narrow-band signals emitted from multiple sources. We reformulate the problem in state-space, and employ a multi-model partitioning algorithm, combined with extended Kalman filters, for com-bined identification of the number of sources and estim...

As the complexity of Advanced Driver Assistance Systems (ADAS) is evolving, data from increasing numbers of experimental sensor technologies is becoming available to support automated risk assessment, action planning and decision making. An integral part of such systems is the ability to extract features from the signals of each sensor technology i...

Wind speed prediction is considered as the most crucial task in the implementation of an alternative but at the same time reliable and autonomous electric power source. Accurate wind speed forecasting methods are a significant tool in overcoming a variety of economic and technical problems connected to wind power production. This paper addresses th...

In this paper, a radar data-processing architecture for advanced automotive radars is presented. The main goal is to improve upon the performance of conventional automotive radar technology. This will enable, among other things, the improved detection and tracking of Vulnerable Road User, who usually have small radar cross-sections and may be misse...

ADOSE organizes an associated ADOSE WORKSHOP as a concertation workshop involving related European projects presenting and discussing different approaches and technologies to achieve best results by cost-effective and technically mature solutions for automotive safety. Two sessions (half day each, with intensive discussions) are planned: (1) Sensor...

In this paper a recently proposed algorithm for the problem of estimating the direction of arrival angles of narrowband signals emitted from multiple sources is compared to two established ones, namely the conventional beamforming and MUSIC algorithms, through extensive simulation. The emphasis is in assessing the algorithms' performance in adverse...

MATLAB 7.x Basics & Programming (textbook in Greek)

An adaptive method for simultaneous order estimation and parameter identification of multivariate (MV) ARMA models under the presence of noise is addressed. The proposed method is based on the well known multi-model partitioning (MMP) theory. Computer simulations indicate that the method is 100% successful in selecting the correct model order in ve...

Designers are required to plan for future expansion and also to estimate the grid’s future utilization. This means that an effective modeling and forecasting technique, which will use efficiently the information contained in the available data, is required, so that important data properties can be extracted and projected into the future. This study...

Structural reliability of a complex structure is related to the residual lifetime of its components. Structural components often contain flaws that propagate due to fatigue and when the crack size becomes critical they eventually fail. In this paper, a number of nonlinear and adaptive identification algorithms are applied to the problem of Fatigue...

Acoustic Emission (AE) signals are collected during well controlled experiments, in order to detect a propagating crack inside a loaded structural component. From the numerous AE signals emitted from the loaded material one has to recognize those originated due to the crack growth. The detection, isolation and modeling of such signals require advan...

This study applies and compares classical approaches, specifically Akaike's Information Criterion (AIC), Akaike's Corrected Information Criterion (AICC) and Bayesian Information Criterion (BIC) and an extension of the well known multimodel partitioning algorithm (MMPA) to the time series prediction problem. The time series data is real and represen...

The application of acoustic sensor arrays to locate sources of Acoustic Emissions (AE) inside a stressed component is investigated. In this paper an adaptive technique is presented which simultaneously provides estimates of the number of AE sources and of their directions of arrival (DOA). The method is based on the reformulation of the problem so...

In this paper, a study on how to perform simultaneous order and parameter estimation of multivariate (MV) ARMA (autoregressive moving average) models under the presence of noise is addressed. The proposed method, which is computationally efficient, is an extension of a previously presented method for MV AR models and is based on the well establishe...

Optimal estimation, adaptive filtering and multi-model techniques are initially presented and widely applied in specific engineering fields such as the aerospace or signal processing. Nowadays, these methods are increasingly applied in many other scientific fields, ranging from construction engineering to medicine. In this work, we present and anal...

All networks have their limits and what is more important is that their users drive them to the limits much faster than it is predicted. Both, network monitoring and traffic prediction are essential in order to determine the network's current state (normal or faulty) and its future trends. Network modelling and simulation could produce accurate fut...

Multimodel partition theory, introduced by Lainiotis [1]–[3] summarizes the parametric model uncertainty into an unknown, finite dimensional parameter vector whose values are assumed to lie within a known set of finite cardinality. It is not restricted to the Gaussian case and it is also applicable to on line/adaptive operation. By applying this me...

Critical structures often require extensive monitoring of their components to ensure proper condition and operation. Especially when operating under severe loads or extreme conditions, real time monitoring can detect evolving defects and prevent future failures. A combination of Non-Destructive Testing, Detection, Identification and Prediction tech...

Short-term traffic prediction is of great interest today, either for real-time congestion control or, for real-time traveler information and guidance. Various forecasting techniques have been developed for dynamic traffic prediction. Time-series techniques, univariate and multivariate models, theoretical or empirical relationships have been propose...

FORTRAN 95/2003 Programming for Engineers (textbook in Greek)

Today's network designers are expected to plan for future expansion and to estimate the network's future utilization. Several simulators can be used for 'what-if' scenarios but they all require as input some estimates of the future network use. A method for estimating the future utilization of a network is presented in this work. Network utilizatio...

With the rapid expansion of computer networks, security has become a crucial issue. A good way to detect illegitimate use is through monitoring the network traffic for unusual user activity or for intruder activity. Methods of intrusion detection based on hand-coded rule sets or predicting commands on-line are laborious to build, not very reliable,...

In this paper, an efficient adaptive nonlinear algorithm for estimation and identification, the so-called adaptive Lainiotis filter (ALF), is applied to the problem of fatigue crack growth (FCG) estimation, identification, and prediction of the final crack (failure). A suitable nonlinear state-space FCG model is introduced for both ALF and extended...

In this paper, an adaptive technique is presented for processing the output of a sensor array, which simultaneously estimates the number of sources and their directions of arrival. The method is based on the reformulation of the problem in the time domain, and the use of the adaptive multi-model partitioning algorithm (MMPA). The adaptive algorithm...

In this paper an efficient multi-model partitioning algorithm (MMPA) for parameter identification, the so-called Adaptive Lainiotis Filter (ALF), is applied to the problem of Fatigue Crack Growth (FCG) monitoring and identification in order to improve the prediction of the final crack or residual time to failure. The MMPA and Extended Kalman Filter...

Critical component reliability is always affected by the presence of cracks that propagate due to fatigue. Fatigue crack growth (FCG) is usually described by semi-empirical laws of a linear logarithmic form; these are solved by using linear least squares (LLS). In order to improve the model identification, estimation and prediction of FCG, this wor...

In this paper an adaptive technique is presented which simultaneously provides estimates of the number of sources and of their directions of arrival. The method is based on the reformulation of the problem so that the measurement equation is expressed as a non-linear function of the extended location vector, which may be augmented to contain the di...

Cracks propagating due to fatigue reduce the residual lifetime of a structure. Dozens of Fatigue Crack Growth (FCG) laws have been proposed in the literature during the last four decades. Correct modeling and identification of the FCG is essential for calculating the components' residual lifetime and the overall reliability of a structure. This wor...

Development on Non-Linear Estimation Algorithms, Kalman, EKF, Adaptive Filters, and corresponding models, for Fatigue Crack Growth Modeling & Prediction, and, Signal processing & Detection of critical Acoustic Emissions during NDT/NDE investigations for more accurate Life-Time Prediction and Safety & Reliability Improvement of Reactor Pressure Vess...

The inherently nonlinear phenomenon of fatigue crack propagation is modeled as a linear random process. To a first approximation, simple, nonstationary time series models are introduced and standard techniques for determining the parameters of autoregressive integrated moving-average processes are applied. Multiplicative time series models are next...