The in-situ examination of historical structures for diagnostic and monitoring purposes is a troublesome work that necessitates the use of non-destructive investigation (NDT) techniques. The methods of quantitative infrared thermography (QIRT) and ultrasonic testing have distinct importance in this regard. The key concern of the study was developing the in-situ use of QIRT for assessment of stone masonry wall sections having different sublayer(s) and failures. For that purpose, the non-destructive in-situ survey composed of QIRT and ultrasonic testing was conducted on a 16th century monument, Cenabi Ahmet PaSa Camisi, suffering from structural cracks, dampness problems and materials deterioration. The combined use of these two methods allowed to define the thermal inertia characteristics of structural cracks in relation to their depth. The temperature evolution in time during the controlled heating and cooling process was deployed for the cracks/defects inspection. The superficial and deep cracks were found to have different thermal responses to exposed conditions which made them easily distinguishable by QIRT analyses. The depth of cracks was precisely estimated by the in-situ ultrasonic testing data taken in the indirect transmission mode. The inherently good thermal resistivity of the wall structure was found to have failed due to entrapped moisture resulting from incompatible recent plaster repairs. The IRT survey allowed to detect the wall surfaces with different sublayer configurations due to their different thermal inertia characteristics. The knowledge and experience gained on the experimental set-ups and analytic methods were useful for the improvement of in-situ applications of QIRT and ultrasonic testing.

The work presented in this thesis mainly focuses on two subjects related to the application of remote sensing data: (1) for land cover classification combining optical sensor, texture features generated from spectral information and synthetic aperture radar (SAR) features, and (2) to develop a non-destructive approach for above ground biomass (AGB) and forest attributes estimation employing multi-source remote sensing data (i.e. optical data, SAR backscatter) combined with in-situ data. Information provided by reliable land cover map is useful for management of forest resources to support sustainable forest management, whereas the generation of the non-destructive approach to model forest biophysical properties (e.g. AGB and stem volume) is required to assess the forest resources more efficiently and cost-effective, and coupled with remote sensing data the model can be applied over large forest areas. This work considers study sites over tropical rain forest landscape in Indonesia characterized by different successional stages and complex vegetation structure including tropical peatland forests. The thesis begins with a brief introduction and the state of the art explaining recent trends on monitoring and modeling of forest resources using remote sensing data and approach. The research works on the integration of spectral information and texture features for forest cover mapping is presented subsequently, followed by development of a non-destructive approach for AGB and forest parameters predictions and modeling. Ultimately, this work evaluates the potential of mosaic SAR data for AGB modeling and the fusion of optical and SAR data for peatlands discrimination. The results show that the inclusion of geostatistics texture features improved the classification accuracy of optical Landsat ETM data. Moreover, the fusion of SAR and optical data enhanced the peatlands discrimination over tropical peat swamp forest. For forest stand parameters modeling, neural networks method resulted in lower error estimate than standard multi-linear regression technique, and the combination of non-destructive measurement (i.e. stem number) and remote sensing data improved the model accuracy. The up scaling of stem volume and biomass estimates using Kriging method and bi-temporal ETM image also provide favorable estimate results upon comparison with the land cover map. / Die in dieser Dissertation präsentierten Ergebnisse konzentrieren sich hauptsächlich auf zwei Themen mit Bezug zur angewandten Fernerkundung: 1) Der Klassifizierung von Oberflächenbedeckung basierend auf der Verknüpfung von optischen Sensoren, Textureigenschaften erzeugt durch Spektraldaten und Synthetic-Aperture-Radar (SAR) features und 2) die Entwicklung eines nichtdestruktiven Verfahrens zur Bestimmung oberirdischer Biomasse (AGB) und weiterer Waldeigenschaften mittels multi-source Fernerkundungsdaten (optische Daten, SAR Rückstreuung) sowie in-situ Daten. Eine zuverlässige Karte der Landbedeckung dient der Unterstützung von nachhaltigem Waldmanagement, während eine nichtdestruktive Herangehensweise zur Modellierung von biophysikalischen Waldeigenschaften (z.B. AGB und Stammvolumen) für eine effiziente und kostengünstige Beurteilung der Waldressourcen notwendig ist. Durch die Kopplung mit Fernerkundungsdaten kann das Modell auf große Waldflächen übertragen werden. Die vorliegende Arbeit berücksichtigt Untersuchungsgebiete im tropischen Regenwald Indonesiens, welche durch verschiedene Regenerations- und Sukzessionsstadien sowie komplexe Vegetationsstrukturen, inklusive tropischer Torfwälder, gekennzeichnet sind. Am Anfang der Arbeit werden in einer kurzen Einleitung der Stand der Forschung und die neuesten Forschungstrends in der Überwachung und Modellierung von Waldressourcen mithilfe von Fernerkundungsdaten dargestellt. Anschließend werden die Forschungsergebnisse der Kombination von Spektraleigenschaften und Textureigenschaften zur Waldbedeckungskartierung erläutert. Desweiteren folgen Ergebnisse zur Entwicklung eines nichtdestruktiven Ansatzes zur Vorhersage und Modellierung von AGB und Waldeigenschaften, zur Auswertung von Mosaik- SAR Daten für die Modellierung von AGB, sowie zur Fusion optischer mit SAR Daten für die Identifizierung von Torfwäldern. Die Ergebnisse zeigen, dass die Einbeziehung von geostatistischen Textureigenschaften die Genauigkeit der Klassifikation von optischen Landsat ETM Daten gesteigert hat. Desweiteren führte die Fusion von SAR und optischen Daten zu einer Verbesserung der Unterscheidung zwischen Torfwäldern und tropischen Sumpfwäldern. Bei der Modellierung der Waldparameter führte die Neural-Network-Methode zu niedrigeren Fehlerschätzungen als die multiple Regressions. Die Kombination von nichtdestruktiven Messungen (z.B. Stammzahl) und Fernerkundungsdaten führte zu einer Steigerung der Modellgenauigkeit. Die Hochskalierung des Stammvolumens und Schätzungen der Biomasse mithilfe von Kriging und bi-temporalen ETM Daten lieferten positive Schätzergebnisse im Vergleich zur Landbedeckungskarte.

No description available.

La détection des états d'un qubit est un élément essentiel dans la réalisation d'expériences d'information quantique. Dans le système étudié, le bit quantique est codé dans les états d'énergie interne d'un atome de Rydberg circulaire à deux niveaux. Dans ce mémoire nous présentons une nouvelle technique de détection des atomes de Rydberg circulaires basée sur l'interaction dispersive d'un atome avec un champ micro-onde mésoscopique à l'intérieur d'une cavité supraconductrice de très grand facteur de qualité. L'indice de réfraction de l'atome, dépendant de son niveau d'énergie interne, déphase le champ micro-onde, et une procédure de détection homodyne transforme l'information codée dans la phase du champ en une information d'intensité. L'intensité finale du champ est lue par un échantillon mésoscopique d'atomes. Il s'agit d'une technique de détection non destructive, puisque le processus de détection n'ionise pas l'atome, mais le projette simplement dans l'état mesuré. De plus, le processus de détection intrique l'état interne d'un atome au niveau d'excitation d'un ensemble de plusieurs atomes, permettant de créer des superpositions cohérentes d'états atomiques mésoscopiques et ouvrant de nouvelles perspectives pour des tests de décohérence Nous présentons le principe de la technique et de nombreux résultats expérimentaux, ainsi que de possibles schémas d'application.

隨著科技不斷快速進步的同時，並在數位匯流與高速通訊網路技術的發展下，多媒體資訊衍生了許許多多的應用，且由於載具的不斷創新，使得我們看電視不需局限在電視機前、看報不用弄得滿手油墨、看書也不需帶著沈重的書本、聽音樂也不用為了一首歌而花費大錢買一堆自己沒興趣聽的音樂等等。這些科技帶給人類更便利、更舒適的生活，也帶給企業運用科技創新建立了許多經營模式(business model)的機會，成功掌握機會的企業取代或瓜分了原有市場領先者的市場大餅，成為新的競爭者。 過去零售流通產業中，以「品牌連鎖通路」的經營模式企業佔有廣大的市場佔有率，為市場成功經營模式之ㄧ，但近年來於由網際網路科技的興起電子商務經營模式(e-business model)正快速的改變零售流通產業的風貌。 本研究主要以研究「線上音樂之經營模式」與「破壞性創新」二部份，試以Apple 之iTunes Music Store 之成功經營案例進行個案研究，再以創新理論分析其成功原因及其是如何產生破壞性創新。而因為數位化本身將會與資訊科技的整體環境進行連鎖反應，因此會形成許多不同的通路機會，帶來許多具破壞性創新經營模式的機會。 有鑑於國內外的競爭環境日益激烈，而掌握創新的機會可能帶來成功的契機，本研究希望透過有系統的個案研究，為自身企業在結合國內政府推動數位產業的大環境之下，找到成功的方向。故本研究之目的為： 一、暸解國外itunes music store 的企業經營模式如何產生破壞性的創新，進而成為市場的領導者。 二、瞭解國外Amazon 網路書店企業經營模式如何產生破壞性的創新，進而成為市場的領導者。 三、瞭解國內博客來網路書店企業經營模式如何產生破壞性的創新，進而成為市場的領導者。 四、瞭解電子商務特性對出版通路的影響。 五、在電子書的發展的機會下，提出現有出版通路可能的發展策略與方向。 / Due to the rapid development of high-speed information communication technology and digital convergence, there are more and more multimedia systems and applications. With the media innovation, we are no longer limited to watching TV only on televisions. We don’t need to get our hands with inks while reading newspapers. We don’t need to bring heavy books for reading. Moreover, we don’t need to pay lots of money to get a CD to hear only one favorite song. These technologies make people’s lives more easily and more comfortable, and they also supply the foundation for new business models based on technology innovation.Companies which catch the opportunities start to gain market shares and may even replace the existing market leaders. In the retailing industries, companies with the business models of brand chain stores had large market shares, and this business model was one of the successful business models in the past. However, in the recent years, with the Internet technology, e-business models are changing the retailing industries rapidly. Our research is focused on business models of on-line music and destructive innovation . First, we did a case study to analyze the success of the business model of Apple iTunes music store. Then, we analyzed why it succeeded and how the disruptive innovation occurred. According to the diagnostics, digitalization itself will have the chain reactions with the overall information technology environments. These reactions bring lots channel opportunities. These channel opportunities offer the likelihoods of creating disruptive growth. With the fierce global competitions, companies are eagerly seeking innovation opportunities. Our research aims to offer both the enterprises and the government the direction to success in the digital industries based on systematical case studies. The purposes of our research are as follows: 1. to analyze the business model of Apple iTunes music store, how the disruptive innovation occurs, and why Apple iTunes music store becomes the market leader in USA; 2. to analyze the business model of Amazon on-line book store, how the disruptive innovation occurs, and why Amazon on-line book store becomes the market leader in USA; 3. to analyze the business model of books.com.tw on-line book store, how the disruptive innovation occurs, and why books.com.tw on-line book store becomes the market leader in Taiwan; 4. to analyze the impacts of e-commerce on publishing industries; 5. to offer the possible e-book strategies and directions to existing publishers.

Τα βασικά προβλήματα που εμφανίζονται κατά τον μη καταστροφικό έλεγχο με την μέθοδο της ακουστικής εκπομπής (ΑΕ) είναι η απομόνωση του θορύβου, η αξιόπιστη επεξεργασία και αναγνώριση των σημάτων από πραγματικές αστοχίες του υλικού, ο προσδιορισμός της θέσης της αστοχίας και ο χαρακτηρισμός του τύπου και της κρισιμότητας της βλάβης στο υλικό. Κατά την διάρκεια εκπόνησης της παρούσας διδακτορικής διατριβής δόθηκε ιδιαίτερη έμφαση στην μεθοδολογία εύρεσης της θέσης της πηγής ΑΕ δεδομένου ότι είναι γνωστοί οι χρόνοι άφιξης κάποιων χαρακτηριστικών των σημάτων που έχουν καταγραφεί στους αισθητήρες. Αναπτύχθηκαν ολοκληρωμένες μέθοδοι στις οποίες επεξεργάζονται τα σήματα των αισθητήρων για να προσδιοριστούν τα χαρακτηριστικά που θα αποτελέσουν την βάση για τον υπολογισμό της θέσης της πηγής. Έχοντας εξασφαλίσει την αξιόπιστη μέθοδο προσδιορισμού των χρόνων άφιξης ορισμένων χαρακτηριστικών των σημάτων αναπτύχθηκαν μέθοδοι οι οποίοι χρησιμοποιούν όσο το δυνατό περισσότερη πληροφορία για βελτίωση της ακρίβειας εκτίμησης και μικρότερες απαιτήσεις σε επιπλέον γνώση δεδομένων. / In non-destructive control, acoustic emission signals are used for reliable construction monitoring and damage recognition. In this thesis several methods for the acoustic emission (AE) source location are developed and evaluated. Automatic estimation of minimum number and optimal placement of sensors are derived at the minimum sum of localization errors at randomly positioning AE sources. A new method was proposed and evaluated for the estimation of optimum sensors position in problems of AE localization in spherically and cylindrical structures. The particular methodology can be easily adjusted in different structures, and is of paramount important in case where the sensors must be permanently placed in a structure. Six source location methods were developed using a parametric model for the AE signal, genetic algorithm and simulated annealing. The magnitude of the Fast Fourier Transform or the position of the maximum peak of cross correlation function are extracted from the AE signals acquired by multiple sensors positioning at arbitrary locations in a plain or a cylindrical structure. The AE source is estimated at the minimum of the error function between the signal or the features derived from the acoustic signal, and the signal or features estimated from the AE signal model. Moreover, a novel source location method based on radial basis function network is presented and evaluated. The problem of AE localization in plane surfaces and cylindrical surfaces are solved in a close-form using the arrival-time differences using three or more sensors. A close-form solution for Acoustic-Emission source location (AESL) and material constant G is presented and evaluated in simulation experiments using the Time-of-Arrival (TOA) of several events detected in arbitrary positioning sensors in 3d-space in dispersive media. The normalized distances and the constant G are derived from the TOA at four arbitrary selected sensors using the events propagation velocities in a reference material. The actual AE position is derived using the multidimensional scaling method using the complete set of sensors. In simulation experiments, the advantages of the proposed method are demonstrated. Overcoming the most important weakness of the proposed method, the use of only four sensors for the estimation of the parameter G, an algorithm for successive estimation of the AESL is developed using the complete set of TOAs.An extension of the AESL method is developed using a successive approximation algorithm assuming a minimum of two known propagation velocities for the recorded events. It is proved that the proposed algorithm converges to the local minimum of the optimization function. Under few restrictions the proposed algorithm can be used to estimate the AESL even in case where the propagation velocities for all events are unknown.

Στη συγκεκριμένη εργασία ασχολήθηκα με την εκτίμηση της συνάρτησης πυκνότητας πιθανότητας παραμέτρων που προέρχονται από σήματα πηγών ακουστικής εκπομπής που επεξεργάστηκα. Στο θεωρητικό κομμάτι το μεγαλύτερο ενδιαφέρον παρουσίασαν ο Μη Καταστροφικός Έλεγχος και η Ακουστική Εκπομπή, καθώς και οι εφαρμογές τους. Τα δεδομένα που επεξεργάστηκα χωρίζονται σε δύο κατηγορίες: σε εκείνα που μου δόθηκαν έτοιμα και σε εκείνα που λήφθηκαν μετά από μετρήσεις. Στην επεξεργασία των πειραματικών δεδομένων χρησιμοποιήθηκε ο αλγόριθμος πρόβλεψης-μεγιστοποίησης, τον οποίο μελέτησα θεωρητικά και με βάση τον οποίο εξάχθηκαν οι παράμετροι για κάθε σήμα. Έχοντας βρει τις παραμέτρους, προχώρησα στην ταξινόμηση των σημάτων σε κατηγορίες με βάση τη θεωρία της αναγνώρισης προτύπων. Στο τέλος της εργασίας παρατίθεται το παράρτημα με τα αναλυτικά αποτελέσματα, καθώς και η βιβλιογραφία που χρησιμοποίησα. / In this diploma paper the subject was the calculation of the probability density function of parameters which come from signals of sources of acoustic emission. In the theoritical part, the chapters with the greatest interest were Non Destructive Control and Acoustic Emission and their applications. The data which were processed are divided in two categories: those which were given without requiring any laboratory research and those which demanded laboratory research. The expectation-maximization algorithm, which was used in the process of the laboratory data, was the basis for the calculation of the parameters of each signal. Having calculated the parameters, the signals were classified in categories according to the theory of pattern recognition. In the end of the paper, the results and the bibliography which was used are presented.

Στα πλαίσια της διατριβής, πραγματοποιήθηκε μελέτη και ανάλυση σημάτων πηγών ακουστικής εκπομπής, προτάθηκαν νέες ολοκληρωμένες μεθοδολογίες βασισμένες σε συμβατικές αλλά και προχωρημένες τεχνικές επεξεργασίας και ανάλυσης δεδομένων για την εξαγωγή εκείνων των χαρακτηριστικών που διαχωρίζουν τα σήματα ακουστικής εκπομπής από τον περιβάλλοντα θόρυβο. Εξετάσθηκαν ποια χαρακτηριστικά γνωρίσματα (παράμετροι) περιέχουν σημαντικό τμήμα της “πληροφορίας” έτσι ώστε στη συνέχεια χρησιμοποιώντας προχωρημένες μεθόδους αναγνώρισης προτύπων να επιτευχθεί ανίχνευση και χαρακτηρισμός ρωγμοειδών αστοχιών σε θορυβώδεις συνθήκες αλλά και σε σύνθετες κατασκευές. Συνοπτικά στην παρούσα διατριβή προτάθηκε και αξιολογήθηκε μια νέα μέθοδος για την εκτίμηση της βέλτιστης τοποθέτησης αισθητήρων. Προτάθηκαν δύο μέθοδοι για τον εντοπισμό θέσης πηγής ακουστικής εκπομπής. Πραγματοποιήθηκε για πρώτη φορά εξαγωγή ενενήντα παραμέτρων, εκ’ των οποίων οι εξήντα επτά προσδιορίστηκαν μετά από επεξεργασία του σήματος στο πεδίο του χρόνου ενώ οι υπόλοιπες είκοσι τρεις με επεξεργασία του σήματος στο πεδίο της συχνότητας. H μείωση του αριθμού των παραμέτρων, χωρίς όμως να μειώνεται ταυτόχρονα και η αξιοπιστία του ταξινομητή, αποτελεί ένα μεγάλος μέρος έρευνας που πραγματοποιήθηκε στα πλαίσια εκπόνησης της παρούσας διατριβής. Προτάθηκαν και αξιολογήθηκαν τέσσερις μέθοδοι επιλογής παραμέτρων. Για πρώτη φορά κατασκευάστηκαν και αξιολογήθηκαν ολοκληρωμένα συστήματα ανίχνευσης αστοχιών τα οποία έχουν την δυνατότητα να ανιχνεύουν τη δημιουργία ρωγμών λόγω καταπόνησης σε καιρικές συνθήκες βροχής. Στο τελευταίο μέρος της διατριβής κατασκευάστηκε και αξιολογήθηκε ένα καινοτόμο σύστημα χαρακτηρισμού ρωγμοειδών γεγονότων για τις ενισχύσεις πλοίων, υπό προσομοιωμένες συνθήκες λειτουργίας του πλοίου. / The present PhD thesis dealt with the following subjects: best sensors position, source location, features extraction and features selection, crack detection on raining conditions, crack characterization in ship structures. A new method, for the estimation of the best sensors position that used for accurate acoustic emission source location on empty spherical surfaces, is presented. Two acoustic emission source location methods are presented and evaluated. In this thesis, an extensive set of ninety features (forty-one novel features) are extracted from acoustic emission signals, sixty-seven in the time domain and twenty-three by processing the signal in the frequency domain. The features are estimated for two time-frames the first has 1msec duration (typically the signal does not contain all the reflections from the material edges) and the second has 32msec of the normalized signal, which is not separated by its reflections, in small structures. To achieve robust performance both in accuracy and computational complexity of any classification method, it is necessary to pick up the most relevant features. Four features selection methods are proposed and evaluated. In outside constructions (e.g bridges, tanks, ships etc) real-life noises reduce significantly the capability of location and characterization acoustic emission sources. Among the most important types of noise is the rain, producing signal similar to crack. A completed system of detection crack on condition of rain is estimated. An efficient system for automatic and real-time characterization of crack events using a robust set of features to monitor crack events in ship structures is presented. In normal operation of ship, real-life noises (e.g engines, sea waves, weather conditions etc) reduce significantly the capability of location and characterization of crack events.

There has been a long-term decline in number of cyclic vole populations in boreal Sweden since the 1970s. Several hypotheses have been suggested to explain this decline. Commonly for C. glareolus, C. rufocanus and M. agrestis, the decline has followed upon an increased frequency and severeness of winter declines and has shown up as a drop in spring densities. The spring decline is most pronounced for C. rufocanus. In contrast to other voles, C. rufocanus also show a decline in fall densities, suggesting some additional disturbance in this species. Habitat fragmentation has been suggested as such an additional disturbance and in this thesis the effect of habitat fragmentation on C. rufocanus is explored. At first the sampling method was evaluated i.e. whether the decline could be due to destructive sampling when the method in use in the long-term monitoring is snap-trapping. This resulted in a rejection of the destructive sampling hypothesis as a possible cause behind the decline in C. rufocanus. Habitat preference revealed that three habitats at the local scale (trap station) were high quality habitats for C. rufocanus: forest of moist and wet/hydric dwarf-shrub type, in addition to forest/swamp complexes rich in dwarf-shrubs. The occurrence of C. rufocanus at the landscape scale was positively correlated with the amount of boulder fields and a low degree of fragmentation of old-growth pine forests. There was considerable local variation in the decline in vole density among the 58 1-ha sampling plots, with respect to both density and timing of the decline, which suggested that habitat destruction outside sampling plots might be involved. Overall, clear-cuts had a negative influence on vole densities at both the local and landscape scale. A multiple regression analysis suggested that having both a high quality habitat at the local scale and a high proximity among xeric-mesic mires and a low connectivity among clear-cuts at the landscape scale were important for the occurrence of C. rufocanus. Initial analysis at the landscape scale were based on landscape data collected from 2.5 x 2.5 km areas centred on the individual vole sampling plots. Further investigations, however, on the patch level suggest that focal forest patch size and quality was of major importance in determining occurrence and persistence of C. rufocanus. Although not tested formally in these studies, the habitat fragmentation hypothesis has so far received support. Currently C. rufocanus seems to be affected negatively by too low patch sizes of suitable habitats in the surrounding landscape suggesting that the amount of suitable habitats could already be below the fragmentation threshold. However, this has to be evaluated further. Work is in progress to establish time-series over local landscape changes, and to evaluate if such changes have been associated with local declines of C. rufocanus and whether habitat loss, true habitat fragmentation or both have been influential.

No description available.