503 research outputs found
The Δρομοδείχτης της Ελλάδος of 1824 and Athanasios Stageirites (Τίτλος περίληψης)
No full textσ. [281]-290Κείμενο στα ελληνικά με περίληψη στα αγγλικά με τον τίτλο: The Δρομοδείχτης της Ελλάδος of 1824 and Athanasios StageiritesThe article first examines the close relationship between the publication “Δρομοδείχτης της Ελλάδος” [1824] and the publication “Ηπειρωτικά” (1819) by Athanasios Stageirites and then suggests that Athanasios Stageirites is the likeliest author of the “Δρομοδείχτης της Ελλάδος”.Δωδώνη: Τεύχος Πρώτο: επιστημονική επετηρίδα του Τμήματος Ιστορίας και Αρχαιολογίας της Φιλοσοφικής Σχολής του Πανεπιστημίου Ιωαννίνων; Τόμ. 43-44 (2014-2015
Dataset in support of the Southampton doctoral thesis 'The boatbuilding tradition of the Aegean during the Late Neolithic – Early Bronze Age periods. Typological classification, digital reconstruction and seakeeping assessment'
No full textDataset in support of the Southampton doctoral thesis 'The boatbuilding tradition of the Aegean during the Late Neolithic – Early Bronze Age periods. Typological classification, digital reconstruction and seakeeping assessment' Appendix D - Resistance data and Appendix C - Stability data.
This dataset is focused on two appendices:
Appendix D - Resistance data. D.1 Resistance data produced by the author via MAXSURF Resistance for this thesis.
Appendix C - Stability data
C1. Stability data – STIX and ISO criteria, produced by the author via MAXSURF Stability software for his thesis
This research was funded by Southampton Marine and Maritime Institute (SMMI), Vice-Chancellor's Scholarship, Greek Archaeological Committee UK (GACUK)
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Ανακάλυψη γνώσης από επιστημονικές δημοσιεύσεις
No full textThis thesis presents original research in the area of information and library sciences, and more specifically in the field of knowledge discovery from academic publications. Knowledge discovery from academic publications brings together multiple tasks from different research fields, such as information retrieval, machine learning, and natural language processing, and aims to understand, advance, and use the published scientific materials to address more effectively the problems of our society. The products of this research field are novel algorithms and methods that explore, analyze and use the information found in scholarly data more effectively, faster, and with ease. Our contribution concerns knowledge discovery from academic publications in four different tasks: total recall retrieval, semantic indexing, accessing bibliographic resources, and analyzing self-citations. The common elements in these tasks are the use of raw data derived from publications and the introduction of novel machine learning approaches. The dissertation’s application domain is academic publications; however, the developed methods could easily be applied to other fields where text documents are the main data source. First, we present a novel approach for document screening prioritization that aims to help researchers create systematic literature reviews. Our approach retrieves and efficiently ranks documents based on a given query, employing learning-to-rank techniques along with an iterative feedback method. Second, we introduce a multi-label approach for classifying biomedical figures. This method doesn't use a figure separation algorithm and utilizes both visual and textual features. Third, we propose an innovative web robot detection approach that takes into account the content of a website. Our main contribution is a novel representation for web sessions, based on LDA, that quantifies the semantic variance of the web content requested within a session. Finally, we present a new way for detecting potentially unethical self-citations based on the semantic similarity of a publication and its references. The ReLy score is introduced, which is based on state-of-the-art sentence embeddings and quantifies that quantifies the semantic similarity of article-reference. All the above approaches are evaluated and compared against the relevant state-of-the-art, in multiple experimental settings and with real-world data. The results demonstrate significant improvements or new findings in all cases. We also publish, in many cases, the datasets used to encourage transparency and future research.Αυτή η διατριβή παρουσιάζει πρωτότυπη έρευνα στους τομείς των επιστημών της πληροφορικής και της βιβλιοθηκονομίας, και συγκεκριμένα στον τομέα της ανακάλυψης γνώσης από ακαδημαϊκές δημοσιεύσεις. Η ανακάλυψη γνώσης από ακαδημαϊκές δημοσιεύσεις συγκεντρώνει πολλαπλά ερωτήματα από διαφορετικά ερευνητικά πεδία, όπως ανάκτηση πληροφοριών, μηχανική μάθηση και επεξεργασία φυσικής γλώσσας, και στοχεύει στην κατανόηση, προώθηση και χρήση του δημοσιευμένου επιστημονικού υλικού για την αποτελεσματικότερη αντιμετώπιση των προβλημάτων της κοινωνίας μας. Τα προϊόντα αυτού του ερευνητικού πεδίου είναι νέοι αλγόριθμοι και μέθοδοι που διερευνούν, αναλύουν και χρησιμοποιούν τις πληροφορίες που βρίσκονται στις επιστημονικές δημοσιεύσεις πιο αποτελεσματικά, γρηγορότερα και με ευκολία. Η συμβολή μας αφορά την ανακάλυψη γνώσης από ακαδημαϊκές εκδόσεις σε τέσσερις διαφορετικά προβλήματα: ανάκτηση ολικής ανάκλησης, σημασιολογική δεικτοδότηση, πρόσβαση σε βιβλιογραφικές πηγές και ανάλυση αυτό-παραπομπών. Τα κοινά στοιχεία σε αυτές τις εργασίες είναι η χρήση ακατέργαστων δεδομένων που προέρχονται από δημοσιεύσεις και η ανάπτυξη νέων μεθόδων μηχανικής μάθησης. Ο τομέας εφαρμογής της διατριβής είναι οι ακαδημαϊκές δημοσιεύσεις αλλά οι μέθοδοι που αναπτύχθηκαν μπορούν εύκολα να εφαρμοστούν σε άλλα πεδία όπου τα έγγραφα κειμένου είναι η κύρια πηγή δεδομένων. Πρώτον, παρουσιάζουμε μια νέα προσέγγιση για την αξιολόγηση εγγράφων που στοχεύει να βοηθήσει τους ερευνητές να δημιουργήσουν συστηματικές βιβλιογραφικές ανασκοπήσεις. Η προσέγγισή μας ανακτά και κατατάσσει αποτελεσματικά έγγραφα με βάση ένα ερώτημα, χρησιμοποιώντας τεχνικές learning-to-rank μαζί με μια επαναληπτική μέθοδο ανατροφοδότησης. Δεύτερον, παρουσιάζουμε μια προσέγγιση πολλαπλών ετικετών για την ταξινόμηση βιοϊατρικών εικόνων. Αυτή η μέθοδος δεν χρησιμοποιεί έναν αλγόριθμο διαχωρισμού εικόνων και χρησιμοποιεί οπτικά χαρακτηριστικά καθώς και χαρακτηριστικά κειμένου. Τρίτον, προτείνουμε μια καινοτόμο προσέγγιση εντοπισμού ρομπότ του διαδικτύου που λαμβάνει υπόψη το περιεχόμενο ενός ιστότοπου. Η κύρια συνεισφορά μας είναι μια νέα αναπαράσταση για διαδικτυακές συνεδρίες, βασισμένη στο LDA, που ποσοτικοποιεί τη σημασιολογική διακύμανση του περιεχομένου ιστού μιας συνεδρίας. Τέλος, παρουσιάζουμε έναν νέο τρόπο ανίχνευσης δυνητικά μη θεμιτών αυτό-παραπομπών με βάση τη σημασιολογική ομοιότητα μιας εργασίας και των παραπομπών αυτής. Παρουσιάζουμε τη βαθμολογία ReLy, η οποία βασίζεται σε sentence embeddings και ποσοτικοποιεί τη σημασιολογική ομοιότητα άρθρου-παραπομπής. Όλες οι παραπάνω προσεγγίσεις αξιολογούνται και συγκρίνονται με αντίστοιχες κορυφαίες μεθόδους, σε πολλαπλές πειραματικές ρυθμίσεις και με δεδομένα που προέρχονται από τον πραγματικό κόσμο. Τα αποτελέσματα καταδεικνύουν σημαντικές βελτιώσεις ή νέα ευρήματα σε όλες τις περιπτώσεις και δημοσιεύουμε, σε πολλές περιπτώσεις, τα σύνολα δεδομένων που χρησιμοποιούνται για ενθάρρυνση της διαφάνειας και της μελλοντικής έρευνας
Peak power reduction algorithms in asymmetric digital subscriber line modems
No full textThesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.Includes bibliographical references (leaves 94-96).This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.This thesis investigates peak-to-average ratio (PAR) reduction techniques for multicarrier modulation systems, such as discrete multitone (DMT) modems and orthogonal frequency-division multiplexed (OFDM) terrestrial broadcast transmitters. Through simulation and test implementation on a state-of-the-art programmable ADSL development platform, this thesis pursues a suitable solution for minimizing PAR given the resources of a programmable platform. This solution is integrated as a prototype implementation into a fully-functional ADSL modem and optimized for maximum PAR reduction performance within modem complexity constraints.by Athanasios Dimitri Dousis.M.Eng
Homophobic Statements, a Bishop, and the Limits of Freedom of Expression. An In-Depth Commentary on ECtHR 31.08.2023, Amvrosios-Athanasios Lenis v. Greece, no. 47833/20
Get PDFDichiarazioni omofobe, un vescovo e i limiti della libertà di espressione. Un commento approfondito su CEDU 31.08.2023, Amvrosios-Athanasios Lenis v. Greece, no. 47833/20.
ABSTRACT: The decision of the ECtHR of 31.08.2023, Amvrosios-Athanasios Lenis v. Greece (no. 47833/20), is a further step toward an increasingly dense jurisprudence on “hate speech” and the limits of freedom of expression. The public proclamation of religious doctrines that are in conflict with the values of the contracting States enshrined in the ECHR is protected to a certain extent by the fundamental right of freedom of religion and belief. However, the qualification of a statement as religious does not justify “hate speech.” The AUTHOR shows the tension between freedom of religion, freedom of expression, and protection against discrimination, and analyzes the decision against the backdrop of Article 17 of the ECHR (prohibition of abuse of rights).
SOMMARIO: 1. Preliminary Remarks - 2. The Concept of Hate Speech - 3. The Facts of the Case - 4. The Procedure and Reasoning of the Court - 4.1 The ECtHR’s Preliminary Considerations on Fundamental Rights - 4.2 Legal assessment - 4.3 Some Remarks on (the Non-Invoked) Article 9 of the ECHR - 5. Concluding Remarks
La tomba III di Haghios Athanasios e il valore semantico dell'incarnato
No full textThe tomb III at Haghios Athanasios stands out among the Macedonian tombs for the exceptional painted decoration of the temple-like façade. Excavated in the '90s by M. Tsimbidou-Avloniti it has been published by the scholar in full detail and the iconographic program of the monument has been the object of many publications. This article re-examines the different ways of reproducing the skin color (το ανδρείκελον) in the figures of the miniature frieze and in the megalographic figures beside the door. The realistic rendering of the megalographic figures of armed men in Macedonian attire, showing their sorrow for the lost of an etairos, is contrasting with the pale color of the participants to the symposion in the frieze above the door, a scene whose illusionistic overtone has been yet perceived by the critics. This symposion is articulated in three scenes and it can be interpeted as a necrodeipnon, but in the same time as a celebration of the Macedonian banquet style, centered on the royal court. The author suggests that the first figure on the right of the frieze, related to the group of armed men looking towards the banqueters feasting in the center of the frieze, can be read as the dead himself, for the particular rendering of his ανδρείκελον, showing the typical ochròtes or necròdes face color, according to the contemporary medical lexicon. The pathetic stance assumed by the same figure, the sole in the group which is not bearing arms, seems to confirm his role in the context of the scene
Using multi-target feature evaluation to discover factors that affect business process behavior
No full textCertain business environments, like health-care or customer service, host complex and highly variable business processes. In such situations, we expect fluctuating process behavior, which is difficult to attribute to specific causes, at least automatically. This work aims to provide process analysts with an additional tool to discover factors that affect the process flow. To this end, we propose a three-stage methodology to deal with the several challenges of this goal.Adhering to the process mining paradigm that suggests for evidence-based process analysis and improvement, we introduce a horizontal partitioning approach to identify elements of process behavior during the first stage. Then, during the second stage, we discuss how log manipulations can yield characteristics that reflect various perspectives of the process. Finally, we propose a multi-target feature evaluation step to deliver insights about the associations between characteristics and process behavior.The proposed methodology is designed to tackle challenges related to the general correlation problem of process mining, like dealing with general process behavior (not just local decisions) and relaxing the independence assumption among the elements of behavior. We demonstrate our approach step by step through a case study on a real-world, open dataset
Computational Modelling of Compaction in Asphaltic Mixtures and Geomaterials
No full textAsphaltic mixtures are heterogeneous composite materials consisting of aggregates coated and bound by asphalt binder. The long term performance of asphaltic pavements is highly dependent on the mechanical behaviour of the asphaltic mixture during construction (mixing and compaction) and operation; inadequate mixture compaction leads to faster moisture and oxygen diffusion, ravelling, rutting and poor fatigue life
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