TY - JOUR A1 - Stoffel, Dominik A1 - Kunz, Wolfgang T1 - Record & play : a structural fixed point iteration for sequential circuit verification Y1 - 1997 SN - 0-8186-8200-0 ER - TY - BOOK A1 - Stoffel, Dominik A1 - Kunz, Wolfgang T1 - Structural FSM traversal : theory and a practical algorithm T3 - Preprint / Universität Potsdam, Institut für Informatik Y1 - 1997 SN - 0946-7580 VL - 1997, 05 PB - Univ. Potsdam CY - Potsdam ER - TY - JOUR A1 - Stoffel, Dominik A1 - Kunz, Wolfgang T1 - Logic equivalence checking by optimization techniues Y1 - 1996 ER - TY - JOUR A1 - Stoffel, Dominik A1 - Kunz, Wolfgang A1 - Gerber, Stefan T1 - And/Or reasoning graphs for determining prime implicants in multi-level combinational networks Y1 - 1997 ER - TY - GEN A1 - Strickroth, Sven T1 - PLATON BT - Developing a Graphical Lesson Planning System for Prospective Teachers T2 - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - Lesson planning is both an important and demanding task—especially as part of teacher training. This paper presents the requirements for a lesson planning system and evaluates existing systems regarding these requirements. One major drawback of existing software tools is that most are limited to a text- or form-based representation of the lesson designs. In this article, a new approach with a graphical, time-based representation with (automatic) analyses methods is proposed and the system architecture and domain model are described in detail. The approach is implemented in an interactive, web-based prototype called PLATON, which additionally supports the management of lessons in units as well as the modelling of teacher and student-generated resources. The prototype was evaluated in a study with 61 prospective teachers (bachelor’s and master’s preservice teachers as well as teacher trainees in post-university teacher training) in Berlin, Germany, with a focus on usability. The results show that this approach proofed usable for lesson planning and offers positive effects for the perception of time and self-reflection. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 804 KW - lesson planning KW - lesson preparation KW - support system KW - automatic feedback Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-441887 SN - 1866-8372 IS - 804 ER - TY - JOUR A1 - Strickroth, Sven T1 - PLATON BT - Developing a Graphical Lesson Planning System for Prospective Teachers JF - Education Sciences N2 - Lesson planning is both an important and demanding task—especially as part of teacher training. This paper presents the requirements for a lesson planning system and evaluates existing systems regarding these requirements. One major drawback of existing software tools is that most are limited to a text- or form-based representation of the lesson designs. In this article, a new approach with a graphical, time-based representation with (automatic) analyses methods is proposed and the system architecture and domain model are described in detail. The approach is implemented in an interactive, web-based prototype called PLATON, which additionally supports the management of lessons in units as well as the modelling of teacher and student-generated resources. The prototype was evaluated in a study with 61 prospective teachers (bachelor’s and master’s preservice teachers as well as teacher trainees in post-university teacher training) in Berlin, Germany, with a focus on usability. The results show that this approach proofed usable for lesson planning and offers positive effects for the perception of time and self-reflection. KW - lesson planning KW - lesson preparation KW - support system KW - automatic feedback Y1 - 2019 U6 - https://doi.org/10.3390/educsci9040254 SN - 2227-7102 VL - 9 IS - 4 PB - MDPI CY - Basel ER - TY - JOUR A1 - Strickroth, Sven A1 - Kiy, Alexander T1 - E-Assessment etablieren BT - Auf dem Weg zu (dezentralen) E-Klausuren JF - Potsdamer Beiträge zur Hochschulforschung N2 - Elektronische Lernstandserhebungen, sogenannte E-Assessments, bieten für Lehrende und Studierende viele Vorteile z. B. hinsichtlich schneller Rückmeldungen oder kompetenzorientierter Fragenformate, und ermöglichen es, unabhängig von Ort und Zeit Prüfungen zu absolvieren. In diesem Beitrag werden die Einführung von summativen Lernstandserhebungen, sogenannter E-Klausuren, am Beispiel der Universität Potsdam, der Aufbau einer länderübergreifenden Initiative für E-Assessment sowie technische Möglichkeiten für dezentrale elektronische Klausuren vorgestellt. Dabei werden der aktuelle Stand, die Ziele und die gewählte stufenweise Umsetzungsstrategie der Universität Potsdam skizziert. Darauf aufbauend folgt eine Beschreibung des Vorgehens, der Kooperationsmöglichkeiten für den Wissens- und Erfahrungsaustausch sowie Herausforderungen der E-Assessment- Initiative. Abschließend werden verschiedene E-Klausurformen und technische Möglichkeiten zur Umsetzung komplexer Prüfungsumgebungen klassifiziert sowie mit ihren charakteristischen Vor- und Nachteilen diskutiert und eine integrierte Lösung vorgeschlagen. KW - E-Assessment KW - Elektronisches Prüfen KW - E-Klausuren KW - Digitalisierung Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-493036 SN - 978-3-86956-498-2 SN - 2192-1075 SN - 2192-1083 IS - 6 SP - 257 EP - 272 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - GEN A1 - Stöpel, Christoph A1 - Schubert, Wolfgang A1 - Margaria-Steffen, Tiziana T1 - Plug-ins und Dienste : Ansätze zu Bewältigung zeitvarianter Geschäftsprozesse T2 - Preprint / Universität Potsdam, Institut für Informatik Y1 - 2007 SN - 0946-7580 VL - 2007, 2 PB - Univ. CY - Potsdam ER - TY - JOUR A1 - Sugiyama, Masashi A1 - Kawanabe, Motoaki A1 - Müller, Klaus-Robert T1 - Trading variance reduction with unbiasedness : the regularized subspace information criterion for robust model selection in kernel regression N2 - A well-known result by Stein (1956) shows that in particular situations, biased estimators can yield better parameter estimates than their generally preferred unbiased counterparts. This letter follows the same spirit, as we will stabilize the unbiased generalization error estimates by regularization and finally obtain more robust model selection criteria for learning. We trade a small bias against a larger variance reduction, which has the beneficial effect of being more precise on a single training set. We focus on the subspace information criterion (SIC), which is an unbiased estimator of the expected generalization error measured by the reproducing kernel Hilbert space norm. SIC can be applied to the kernel regression, and it was shown in earlier experiments that a small regularization of SIC has a stabilization effect. However, it remained open how to appropriately determine the degree of regularization in SIC. In this article, we derive an unbiased estimator of the expected squared error, between SIC and the expected generalization error and propose determining the degree of regularization of SIC such that the estimator of the expected squared error is minimized. Computer simulations with artificial and real data sets illustrate that the proposed method works effectively for improving the precision of SIC, especially in the high-noise-level cases. We furthermore compare the proposed method to the original SIC, the cross-validation, and an empirical Bayesian method in ridge parameter selection, with good results Y1 - 2004 SN - 0899-7667 ER - TY - BOOK A1 - Tarkhanov, Nikolai Nikolaevich T1 - Harmonic integrals on domains with edges T3 - Preprint / Universität Potsdam, Institut für Mathematik, Arbeitsgruppe Partiell Y1 - 2004 SN - 1437-739X PB - Univ. CY - Potsdam ER - TY - JOUR A1 - Tarnick, Steffen T1 - Controllable self-checking checkers for conditional concurrent checking Y1 - 1995 ER - TY - THES A1 - Tarnick, Steffen T1 - Data compression techniques for concurrent error detection and built-in self test Y1 - 1995 ER - TY - JOUR A1 - Tarnick, Steffen T1 - Bounding error masking in linear output space compression schemes Y1 - 1994 ER - TY - JOUR A1 - Tarnick, Steffen T1 - Controllable self-checking checkers for conditional concurrent checking Y1 - 1994 ER - TY - JOUR A1 - Tavakoli, Hamad A1 - Alirezazadeh, Pendar A1 - Hedayatipour, Ava A1 - Nasib, A. H. Banijamali A1 - Landwehr, Niels T1 - Leaf image-based classification of some common bean cultivars using discriminative convolutional neural networks JF - Computers and electronics in agriculture : COMPAG online ; an international journal N2 - In recent years, many efforts have been made to apply image processing techniques for plant leaf identification. However, categorizing leaf images at the cultivar/variety level, because of the very low inter-class variability, is still a challenging task. In this research, we propose an automatic discriminative method based on convolutional neural networks (CNNs) for classifying 12 different cultivars of common beans that belong to three various species. We show that employing advanced loss functions, such as Additive Angular Margin Loss and Large Margin Cosine Loss, instead of the standard softmax loss function for the classification can yield better discrimination between classes and thereby mitigate the problem of low inter-class variability. The method was evaluated by classifying species (level I), cultivars from the same species (level II), and cultivars from different species (level III), based on images from the leaf foreside and backside. The results indicate that the performance of the classification algorithm on the leaf backside image dataset is superior. The maximum mean classification accuracies of 95.86, 91.37 and 86.87% were obtained at the levels I, II and III, respectively. The proposed method outperforms the previous relevant works and provides a reliable approach for plant cultivars identification. KW - Bean KW - Plant identification KW - Digital image analysis KW - VGG16 KW - Loss KW - functions Y1 - 2021 U6 - https://doi.org/10.1016/j.compag.2020.105935 SN - 0168-1699 SN - 1872-7107 VL - 181 PB - Elsevier CY - Amsterdam [u.a.] ER - TY - CHAP A1 - Tavangarian, Djamshid A1 - Schroeder, Ulrik A1 - Igel, Christoph A1 - Magenheim, Johannes A1 - Kundisch, Dennis A1 - Beutner, Marc A1 - Herrmann, Philipp A1 - Whittaker, Michael A1 - Reinhardt, Wolfgang A1 - Zoyke, Andrea A1 - Elbeshausen, Stefanie A1 - Griesbaum, Joachim A1 - Koelle, Ralph A1 - Kneiphoff, Anika Hanna A1 - Mauch, Martina A1 - Hübner, Sandra A1 - Walter, Satjawan A1 - Dittler, Ullrich A1 - Baumann, Annette A1 - Reeh, Lucas A1 - Beuster, Liane A1 - Elkina, Margarita A1 - Fortenbacher, Albrecht A1 - Kappe, Leonard A1 - Merceron, Agathe A1 - Pursian, Andreas A1 - Schwarzrock, Sebastian A1 - Wenzlaff, Boris A1 - Hilse, Michael A1 - Lucke, Ulrike ED - Lucke, Ulrike T1 - E-Learning Symposium 2012 BT - Aktuelle Anwendungen, innovative Prozesse und neueste Ergebnisse aus der E-Learning-Praxis ; Potsdam, 17. November 2012 N2 - Dieser Tagungsband beinhaltet die auf dem E-Learning Symposium 2012 an der Universität Potsdam vorgestellten Beiträge zu aktuellen Anwendungen, innovativen Prozesse und neuesten Ergebnissen im Themenbereich E-Learning. Lehrende, E-Learning-Praktiker und -Entscheider tauschten ihr Wissen über etablierte und geplante Konzepte im Zusammenhang mit dem Student-Life-Cycle aus. Der Schwerpunkt lag hierbei auf der unmittelbaren Unterstützung von Lehr- und Lernprozessen, auf Präsentation, Aktivierung und Kooperation durch Verwendung von neuen und etablierten Technologien. KW - E-Learning KW - Learning Analytics KW - lebenslanges Lernen KW - E-Learning KW - Learning Analytics KW - Life-Long Learning Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-62661 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - BOOK A1 - Tepoyan, Liparit T1 - The Mixed problem for a degenerate operator equation T3 - Preprint / Universität Potsdam, Institut für Mathematik, Arbeitsgruppe Partiell Y1 - 2008 SN - 1437-739X PB - Univ. CY - Potsdam ER - TY - BOOK A1 - Tepoyan, Liparit T1 - The Neumann problem for a degenerate operator equation T3 - Preprint / Universität Potsdam, Institut für Mathematik, Arbeitsgruppe Partiell Y1 - 2004 SN - 1437-739X PB - Univ. CY - Potsdam ER - TY - BOOK A1 - Tepoyan, Liparit T1 - Degenerated operator equations og higher order T3 - Preprint / Universität Potsdam, Institut für Mathematik, Arbeitsgruppe Partiell Y1 - 2000 SN - 1437-739X PB - Univ. CY - Potsdam ER - TY - JOUR A1 - Teske, Daniel T1 - Geocoder accuracy ranking JF - Process design for natural scientists: an agile model-driven approach N2 - Finding an address on a map is sometimes tricky: the chosen map application may be unfamiliar with the enclosed region. There are several geocoders on the market, they have different databases and algorithms to compute the query. Consequently, the geocoding results differ in their quality. Fortunately the geocoders provide a rich set of metadata. The workflow described in this paper compares this metadata with the aim to find out which geocoder is offering the best-fitting coordinate for a given address. Y1 - 2014 SN - 978-3-662-45005-5 SN - 1865-0929 IS - 500 SP - 161 EP - 174 PB - Springer CY - Berlin ER -