Sektion Historische Bildungsforschung

Ohne Zusammenfassung     

Erscheinungsbasierte statistische Objekterkennung

Zusammenfassung.   Die automatische Erkennung und Lokalisation von Objekten in digitalen Bildern ist ein wesentlicher Bestandteil vieler praktisch relevanter Anwendungen. In diesem Artikel wird ein erscheinungsbasiertes Verfahren zur Erkennung starrer zwei- oder dreidimensionaler Objekte vorgestellt, dem eine statistische Modellierung zugrundeliegt. Im Gegensatz zu segmentierungsbasierten Verfahren, wie sie vor allem im Bereich der 3D-Objekterkennung eingesetzt werden, erm?glicht der erscheinungsbasierte Ansatz aufgrund der Modellierung der Intensit?tswerte oder davon abgeleiteter lokaler Merkmale eines Bildes die Erkennung komplexer Objekte. Die statistische Formulierung der Problemstellung bildet den mathematischen Kontext zur Bestimmung optimaler L?sungen. Die Form der Modellierung erlaubt neben der Einzelobjekterkennung auch die Berücksichtigung von heterogenem Bildhintergrund und Mehrobjektszenen. Die dazu ben?tigten lokalen Merkmale entstehen durch r?umlich begrenzte Transformationen des Bildes, wie beispielsweise Gabor- oder Wavelet-Transformationen. Die statistische Modellierung beschreibt die Verteilung dieser lokalen Merkmale anhand einer Dichtefunktion, die sich bei der Hintergrund- und Mehrobjektmodellierung als Mischungsverteilung der Einzelobjektverteilungen ergibt. Die Aufgabenstellungen des Erlernens und Erkennens von Objekten sind damit als Parametersch?tzprobleme formal darstellbar. Dabei werden im einen Fall die Modellparameter und im anderen Fall die Lageparameter beziehungsweise die Klassen von Objekten gesch?tzt. Die experimentelle überprüfung des Ansatzes anhand realer Objektaufnahmen durch CCD-Kameras zeigt seine Brauchbarkeit zur Erkennung von 2D- und 3D-Objekten bei homogenem und heterogenem Hintergrund. Eingegangen am 5. April 2000 / Angenommen am 20. Juli 2001     

试论“网球肘”的成因、诊断、预防与治疗

“网球肘”是网球运动中常见的一种伤病。通过研究“网球肘”的成因、诊断、预防与治疗，预防伤病的发生。     

L'experience regionale arabe en matiere d'education aux droits de l'homme dans les situations d'apprentissage informel

This article describes an informal approach to human rights education, which is anchored in reality and based on experience gained throughout the Arab region and more particularly within the Arab Institute for Human Rights. It is argued that the approach of the Institute could be adopted on a larger scale by organisations working in this domain, not only in the Arab region but also in other regions of the world. The article emphasises the essential role of governments and the importance of cooperation between the governmental and non-governmental levels in order to implement this type of human rights education in informal learning situations, and thus to disseminate a universal culture of human rights.     

Manufacture and Date of a Goryeo dynasty Sutra Box with Mother-of-pearl Inlaid Decoration at the Rijksmuseum,Amsterdam

Currently, about ten Goryeo dynasty (918–1392 CE) sutra boxes are preserved in museums in Korea, Japan, the United States, the Netherlands, and the United Kingdom. This article is the result of an examination of a sutra box in the collection of the Rijksmuseum, Amsterdam (hereafter ‘Rijksmuseum sutra box’), which was first introduced to a European audience in the Transactions and Proceedings of the Japanese Society, in 1913–1914. The Rijksmuseum sutra box differs from other Goryeo sutra boxes. With its altered structure and modified motifs, this box bears significant value, not only for the research of thirteenth-century Goryeo mother-of-pearl art, but also for the study of cross-cultural adaptations in East Asian lacquer art. This article investigates the date of manufacture of the sutra box by analysing the manufacturing techniques and its various original and modified parts. For this, an X-ray radiograph was carried out for the first time. As a result, discoveries have been made regarding the structure and decoration of the lower part, which has been modified and is different from Goryeo mother-of-pearl sutra boxes. Finally, this paper reconsiders conservation and repair of Goryeo sutra boxes, as illuminated by an understanding of the original and repaired parts of this box.     

Extrovert and Lonely Individuals’ Social TV Viewing Experiences: A Mediating and Moderating Role of Social Presence

Social TV viewing is generally understood as a simultaneous act of watching TV and engaging in communication about the TV program with other TV viewers connected online. In response to the increasing popularity of this new TV viewing practice, the current study examined how individuals’ extrovert personality and loneliness influence social TV viewing experiences through the theoretical notion of social presence. An online survey was completed by 330 individuals. Results demonstrated that extrovert personality positively influenced social TV viewing experiences; it is important to note that this relationship was mediated by social presence. Loneliness itself was negatively related to social TV viewing experiences; however, this relationship was moderated by social presence. Specifically, when lonely people felt strong social presence, they enjoyed social TV viewing experiences. The findings provide theoretical implications for social TV research, the dynamic role of social presence, social enhancement model, and social compensation model.     

Retrieving and classifying instances of source code plagiarism

Automatic detection of source code plagiarism is an important research field for both the commercial software industry and within the research community. Existing methods of plagiarism detection primarily involve exhaustive pairwise document comparison, which does not scale well for large software collections. To achieve scalability, we approach the problem from an information retrieval (IR) perspective. We retrieve a ranked list of candidate documents in response to a pseudo-query representation constructed from each source code document in the collection. The challenge in source code document retrieval is that the standard bag-of-words (BoW) representation model for such documents is likely to result in many false positives being retrieved, because of the use of identical programming language specific constructs and keywords. To address this problem, we make use of an abstract syntax tree (AST) representation of the source code documents. While the IR approach is efficient, it is essentially unsupervised in nature. To further improve its effectiveness, we apply a supervised classifier (pre-trained with features extracted from sample plagiarized source code pairs) on the top ranked retrieved documents. We report experiments on the SOCO-2014 dataset comprising 12K Java source files with almost 1M lines of code. Our experiments confirm that the AST based approach produces significantly better retrieval effectiveness than a standard BoW representation, i.e., the AST based approach is able to identify a higher number of plagiarized source code documents at top ranks in response to a query source code document. The supervised classifier, trained on features extracted from sample plagiarized source code pairs, is shown to effectively filter and thus further improve the ranked list of retrieved candidate plagiarized documents.