@misc{KutznerTraviesoGonzalezBoenningeretal., author = {Kutzner, Tobias and Travieso-Gonz{\´a}lez, Carlos M. and B{\"o}nninger, Ingrid and Pazmi{\~n}o-Zapatier, Carlos F. and Plath, Wolf-Dietrich and Gebhard, Matthias}, title = {Writer Identification Using Handwritten Cursive Texts and Single Character Words}, series = {Electronics}, volume = {8}, journal = {Electronics}, number = {4}, issn = {2079-9292}, doi = {10.3390/electronics8040391}, pages = {25}, abstract = {One of the biometric methods in authentication systems is the writer verification/identification using password handwriting. The main objective of this paper is to present a robust writer verification system by using cursive texts as well as block letter words. To evaluate the system, two datasets have been used. One of them is called Secure Password DB 150, which is composed of 150 users with 18 samples of single character words per user. Another dataset is public and called IAM online handwriting database, and it is composed of 220 users of cursive text samples. Each sample has been defined by a set of features, composed of 67 geometrical, statistical, and temporal features. In order to get more discriminative information, two feature reduction methods have been applied, Fisher Score and Info Gain Attribute Evaluation. Finally, the classification system has been implemented by hold-out cross validation and k-folds cross validation strategies for three different classifiers, K-NN, Na{\"i}ve Bayes and Bayes Net classifiers. Besides, it has been applied for verification and identification approaches. The best results of 95.38\% correct classification are achieved by using the k-nearest neighbor classifier for single character DB. A feature reduction by Info Gain Attribute Evaluation improves the results for Na{\"i}ve Bayes Classifier to 98.34\% for IAM online handwriting DB. It is concluded that the set of features and its reduction are a strong selection for the based-password handwritten writer identification in comparison with the state-of-the-art.}, language = {en} } @misc{KutznerMeissnerNesterowetal., author = {Kutzner, Tobias and Meißner, Marlen and Nesterow, Igor and Rojas, Pedro and Freytag, Andreas}, title = {Concept of a cross-university question exchange platform with Moodle LMS}, series = {VII Jornadas Iberoamericanas de Innovaci{\´o}n Educativa en el {\´A}mbito de las TIC y las TAC, Las Palmas de Gran Canaria, 19 y 20 de noviembre de 2020}, volume = {2020}, journal = {VII Jornadas Iberoamericanas de Innovaci{\´o}n Educativa en el {\´A}mbito de las TIC y las TAC, Las Palmas de Gran Canaria, 19 y 20 de noviembre de 2020}, edition = {7. Auflage}, address = {Las Palmas G.C.}, isbn = {978-84-09-22254-4}, pages = {325 -- 334}, abstract = {In the European Social Fund (ESF)project "Profilgebundene-Wissenschecks 2.0", seven Brandenburg Universities and Colleges are working together on the implementation and further development of online tools for study orientation, study preparation and support. The work packages include the development of online subject quizzes(online self-assessments), in order to support prospective students to compare their individual knowledge levels with the knowledge required at the beginning of their studies. Depending on the results achieved, e-learning units are provided with the necessary subject-related knowledge.These unitscan be refreshed independently and the attendance of preliminary courses is recommended. The basis for the online assessments is a cross-university question exchange platform on which the affiliated universities sharethe developed questions and thereby establish a nationwide quality standard for self-assessments. The project partners at Brandenburg University of TechnologyCottbus -Senftenberg (BTU)are responsible fordeveloping the question exchange platform and for making the platform available to all partner universities. For this purpose, a concept was developed, whereinMoodle Learning Management Systems (LMS)is used as a basis and expandedto include functions for storing questions with associated metadata and search functions to search for questions with specific metadata. The concept of the cross-university question exchange platform is presented in this paper.}, language = {en} } @misc{KutznerKostovaBotheetal., author = {Kutzner, Tobias and Kostova, Eleonora and Bothe, Jacqueline and Freytag, Andreas}, title = {Portal for generating cross university didactic self-assessment apps without programming skills}, series = {VIII Jornadas Iberoamericanas de Innovaci{\´o}n Educativa en el {\´A}mbito de las TIC y las TAC (InnoEducaTIC 2021)}, journal = {VIII Jornadas Iberoamericanas de Innovaci{\´o}n Educativa en el {\´A}mbito de las TIC y las TAC (InnoEducaTIC 2021)}, isbn = {978-84-09-35708-6}, pages = {149 -- 156}, abstract = {Based on the didactic concept of a school mathematics app, a portal for the automatic creation of interdisciplinary learning apps without programming knowledge is being developed at the Brandenburg University of Technology Cottbus - Senftenberg (BTU). The aim was to develop the conception and implementation of a portal for the creation of universal learning apps as a mobile (online) assessment for the study entry phase on the one hand and the publication of the apps on the other. This article presents the basic concept of the app portal, the structure of the app portal, and initial tests of the prototype with faculty and students at BTU.}, language = {en} } @misc{Kutzner, author = {Kutzner, Tobias}, title = {Intelligent E-Tutor for Training and Improving Math Performance and its Mobile Application}, language = {de} } @misc{WaelderKutzner, author = {W{\"a}lder, Olga and Kutzner, Tobias}, title = {Eine empirische Studie zur Verifikation von Unterschriften und zur Indikation von F{\"a}lschungen}, series = {Austrian Journal of Statistics}, volume = {42}, journal = {Austrian Journal of Statistics}, number = {2}, issn = {1026-597X}, pages = {101 -- 116}, language = {de} }