Elisavet Charalambous | University of Cyprus (original) (raw)

Papers by Elisavet Charalambous

2019 IEEE Conference on Network Softwarization (NetSoft)

The present paper deals with the elucidation and implementation of the Data Protection by Design ... more The present paper deals with the elucidation and implementation of the Data Protection by Design (DPbD) principle as recently introduced in the European Union data protection law, specifically with regards to cybersecurity systems in a Smart Home environment, both from a legal and a technical perspective. Starting point constitutes the research conducted in the Cyber-Trust project, which endeavours the development of an innovative and customisable cybersecurity platform for cyberthreat intelligence gathering, detection and mitigation within the Internet of Things ecosystem. During the course of the paper, the requirements of DPbD with regards to the conceptualisation, design and actual development of the system are presented as prescribed in law. These requirements are then translated into technical solutions, as envisaged in the Cyber-Trust system. For trade-offs are not foreign to the DPbD context, technical limitations and legal challenges are also discussed in this interdisciplinary dialogue.

Synergy of Community Policing and Technology, 2019

The community era of policing emphasizes the crime control function through a decentralized organ... more The community era of policing emphasizes the crime control function through a decentralized organization design. The diversification and evolution of crime made evident the value of citizen contribution towards its combating. The introduction of the directives of General Data Protection Regulation (GDPR) and Data Protection for Police and Criminal Justice Authorities (PCJA) call for privacy and security by design software implementations that preserve ownership to the data source and use by other bodies only under certain circumstances.

Community policing (CP) provides benefits for both police/governments and citizens, aiming to imp... more Community policing (CP) provides benefits for both police/governments and citizens, aiming to improve safety and crime prevention. As part of e-government initiatives, multiple ICT tools for CP have emerged to ease citizen’s engagement with CP. Most of them are, however, tailor-made to specific needs of their direct users in a city or country or provide fragmented functions, focusing, e.g., on citizens’ tools, or police work. This paper presents an end-to-end fully featured privacy respectful crowd-sourced intelligent information management and decision support system (DSS) for next-generation community policing and e-government, resulting from the INSPEC2T project. Further from a rich set of incident reporting, online communities’ interaction and citizen–police communication and collaboration tools, it provides an intelligent data analytics layer to effectively process the bulk of citizens’ data with the aim to facilitate and improve decisions and police work. Extensive feedback re...

Security Informatics and Law Enforcement, 2019

Community Policing (CP) is gaining popularity with police and governments as well as citizens, ai... more Community Policing (CP) is gaining popularity with police and governments as well as citizens, aiming to improve crime prevention and safety. Multiple ICT tools for CP have emerged to ease citizens’ engagement with CP activities. Most of them are, however, tailor-made to the specific needs of their direct users in a city or country or provide fragmented functions focusing, for instance, on citizens’ tools or police-related work. This chapter presents an end-to-end fully featured privacy respectful innovative solution for Community Policing, resulting from the H2020-funded INSPEC2T Project. Using a rich set of functions for incident reporting and citizen–police communication and collaboration tools, it provides an intelligent data analytics layer to effectively process the bulk of citizens’ data with the aim to facilitate and improve police work. It further offers a special-purpose community platform to allow citizens to communicate and collaborate effectively among themselves and wi...

2016 European Intelligence and Security Informatics Conference (EISIC), 2016

This paper presents INSPEC2T's approach of designing and implementing a smart mobile applicat... more This paper presents INSPEC2T's approach of designing and implementing a smart mobile application, part of a greater system (background services and supporting tools) emphasizing on its impact in day to day community policing operations and also in strategic decision making. Important aspects are: automation of processes, compliance to ethical and legal regulations, transparency in operations, user engagement.

Advanced Sciences and Technologies for Security Applications, 2016

Modalités de qualification et de gestion des ressources naturelles (1/2) Caractériser les liens e... more Modalités de qualification et de gestion des ressources naturelles (1/2) Caractériser les liens entre qualification et gestion des ressources : une analyse comparative d'instruments de gestion des végétations en élevage Valuating resources and framing their management: the case of semi-natural vegetations in livestock

Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016), 2016

The constant technological evolution in Computer Vision enabled the development of new techniques... more The constant technological evolution in Computer Vision enabled the development of new techniques which in conjunction with the use of Unmanned Aerial Vehicles (UAVs) may extract high quality photogrammetric products for several applications. Dense Image Matching (DIM) is a Computer Vision technique that can generate a dense 3D point cloud of an area or object. The use of UAV systems and DIM techniques is not only a flexible and attractive solution to produce accurate and high qualitative photogrammetric results but also is a major contribution to cost effectiveness. In this context, this study aims to highlight the benefits of the use of the UAVs in critical infrastructure monitoring applying DIM. A Multi-View Stereo (MVS) approach using multiple images (RGB digital aerial and oblique images), to fully cover the area of interest, is implemented. The application area is an Olympic venue in Attica, Greece, at an area of 400 acres. The results of our study indicate that the UAV+DIM approach respond very well to the increasingly greater demands for accurate and cost effective applications when provided with, a 3D point cloud and orthomosaic.

Third International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2015), 2015

ABSTRACT

Archaeometry, 2015

The Dose Rate calculator (DRc) is a software program written in Java that facilitates the calcula... more The Dose Rate calculator (DRc) is a software program written in Java that facilitates the calculation of dose rates and age determinations of materials, for use in palaeodosimetric dating methods. The program runs in a user-friendly interface and provides a number of usercontrollable features. Dose rates are calculated using updated conversion and attenuation factors. This paper presents the basic principles that the software takes into account in its calculations.

Πανεπιστήμιο Κύπρου, Πολυτεχνική Σχολή / University of Cyprus, Faculty of Engineering, May 1, 2020

Journal of Archaeological Science: Reports, 2016

This paper proposes an experimental design for the compositional classification of 177 ceramic sa... more This paper proposes an experimental design for the compositional classification of 177 ceramic samples deriving from domestic and tomb contexts in Cyprus dated to the Early and Middle Bronze Age. In this design, ceramic sample classification is achieved with three well-known methods, a standard statistical learning method termed k-Nearest Neighbours (k-NN), a method using Decision Trees (C4.5) and a more complex neural network based method known as Learning Vector Quantisation (LVQ). It is shown that the examination of classification patterns through confusion matrices allows the exploitation of inter-class relationships and the ability to provide extra information to the researcher about the compositional categorisation of samples; which could not be grouped (with certainty) into classes with the employment of ceramic petrography. Due to the compositional heterogeneity of ceramics, the effectiveness of classification using only chemical elements with mean concentrations lower than 0.1% is also evaluated to illustrate their potential significance. The developed design follows a systematic approach and well-established methods, such as bootstrapping with replacement and the 5 × 2 cross validation (paired t-test and F-test) tests, to ensure that the results are statistically significant.

Journal of Archaeological Science: Reports, 2015

The Dose Rate calculator (DRc) is a software program written in Java that facilitates the calcula... more The Dose Rate calculator (DRc) is a software program written in Java that facilitates the calculation of dose rates and age determinations of materials, for use in palaeodosimetric dating methods. The program runs in a user-friendly interface and provides a number of user-controllable features. Dose rates are calculated using updated conversion and attenuation factors. This paper presents the basic principles that the software takes into account in its calculations.

This paper proposes an experimental design for the compositional classification of 177 ceramic sa... more This paper proposes an experimental design for the compositional classification of 177 ceramic samples deriving
from domestic and tomb contexts in Cyprus dated to the Early and Middle Bronze Age. In this design, ceramic
sample classification is achieved with three well-known methods, a standard statistical learning method termed
k-Nearest Neighbours (k-NN), a method using Decision Trees (C4.5) and a more complex neural network based
method known as Learning Vector Quantisation (LVQ). It is shown that the examination of classification patterns
through confusion matrices allows the exploitation of inter-class relationships and the ability to provide extra information to the researcher about the compositional categorisation of samples; which could not be grouped
(with certainty) into classes with the employment of ceramic petrography. Due to the compositional heterogeneity of ceramics, the effectiveness of classification using only chemical elements with mean concentrations
lower than 0.1% is also evaluated to illustrate their potential significance. The developed design follows a systematic approach and well-established methods, such as bootstrapping with replacement and the 5 × 2 cross validation (paired t-test and F-test) tests, to ensure that the results are statistically significant.

The Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) carried by the Advanced Lan... more The Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) carried by the Advanced Land-Observing
Satellite (ALOS) was designed to generate worldwide topographic data with its high-resolution and stereoscopic
observation. PRISM performs along-track (AT) triplet stereo observations using independent forward (FWD), nadir
(NDR), and backward (BWD) panchromatic optical line sensors of 2.5m ground resolution in swaths 35 km wide. The
FWD and BWD sensors are arranged at an inclination of ±23.8◦ from NDR.
In this paper, PRISM images are used under a new perspective, in security domain for sea surveillance, based on the
sequence of the triplet which is acquired in a time interval of 90 sec (45 sec between images). An automated motion
detection algorithm is developed allowing the combination of encompassed information at each instant and therefore the
identification of patterns and trajectories of moving objects on sea; including the extraction of geometric characteristics
along with the speed of movement and direction. The developed methodology combines well established image
segmentation and morphological operation techniques for the detection of objects. Each object in the scene is represented
by dimensionless measure properties and maintained in a database to allow the generation of trajectories as these arise
over time, while the location of moving objects is updated based on the result of neighbourhood calculations.
Most importantly, the developed methodology can be deployed in any air borne (optionally piloted) sensor system with
along the track stereo capability enabling the provision of near real time automatic detection of targets; a task that cannot
be achieved with satellite imagery due to the very intermittent coverage.

2019 IEEE Conference on Network Softwarization (NetSoft)

Synergy of Community Policing and Technology, 2019

Security Informatics and Law Enforcement, 2019

2016 European Intelligence and Security Informatics Conference (EISIC), 2016

Advanced Sciences and Technologies for Security Applications, 2016

Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016), 2016

Third International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2015), 2015

ABSTRACT

Archaeometry, 2015

Πανεπιστήμιο Κύπρου, Πολυτεχνική Σχολή / University of Cyprus, Faculty of Engineering, May 1, 2020

Journal of Archaeological Science: Reports, 2016

Journal of Archaeological Science: Reports, 2015

The Dose Rate calculator (DRc) is a software program written in Java that facilitates the calcula... more The Dose Rate calculator (DRc) is a software program written in Java that facilitates the calculation of dose rates and age determinations of materials, for use in palaeodosimetric dating methods. The program runs in a user-friendly interface and provides a number of user-controllable features. Dose rates are calculated using updated conversion and attenuation factors. This paper presents the basic principles that the software takes into account in its calculations.

This paper proposes an experimental design for the compositional classification of 177 ceramic sa... more This paper proposes an experimental design for the compositional classification of 177 ceramic samples deriving
from domestic and tomb contexts in Cyprus dated to the Early and Middle Bronze Age. In this design, ceramic
sample classification is achieved with three well-known methods, a standard statistical learning method termed
k-Nearest Neighbours (k-NN), a method using Decision Trees (C4.5) and a more complex neural network based
method known as Learning Vector Quantisation (LVQ). It is shown that the examination of classification patterns
through confusion matrices allows the exploitation of inter-class relationships and the ability to provide extra information to the researcher about the compositional categorisation of samples; which could not be grouped
(with certainty) into classes with the employment of ceramic petrography. Due to the compositional heterogeneity of ceramics, the effectiveness of classification using only chemical elements with mean concentrations
lower than 0.1% is also evaluated to illustrate their potential significance. The developed design follows a systematic approach and well-established methods, such as bootstrapping with replacement and the 5 × 2 cross validation (paired t-test and F-test) tests, to ensure that the results are statistically significant.