@article{BockletRiedhammerNoethetal.2012, author = {Bocklet, Tobias and Riedhammer, Korbinian and N{\"o}th, Elmar and Eysholdt, Ulrich and Haderlein, Tino}, title = {Automatic Intelligibility Assessment of Speakers After Laryngeal Cancer by Means of Acoustic Modeling}, series = {Journal of Voice}, journal = {Journal of Voice}, number = {26(3)}, pages = {390 -- 397}, year = {2012}, abstract = {One aspect of voice and speech evaluation after laryngeal cancer is acoustic analysis. Perceptual evaluation by expert raters is a standard in the clinical environment for global criteria such as overall quality or intelligibility. So far, automatic approaches evaluate acoustic properties of pathologic voices based on voiced/unvoiced distinction and fundamental frequency analysis of sustained vowels. Because of the high amount of noisy components and the increasing aperiodicity of highly pathologic voices, a fully automatic analysis of fundamental frequency is difficult. We introduce a purely data-driven system for the acoustic analysis of pathologic voices based on recordings of a standard text.}, language = {en} } @article{RiedhammerFavreHakkaniTuer2010, author = {Riedhammer, Korbinian and Favre, Benoit and Hakkani-T{\"u}r, Dilek}, title = {Long story short - Global unsupervised models for keyphrase based meeting summarization}, series = {SPEECH COMMUNICATION}, volume = {2010}, journal = {SPEECH COMMUNICATION}, number = {52(10)}, pages = {801 -- 815}, year = {2010}, language = {en} } @article{TurStolckeVossetal.2010, author = {Tur, Gokhan and Stolcke, Andreas and Voss, Lynn and Peters, Stanley and Hakkani-T{\"u}r, Dilek and Dowding, John and Favre, Benoit and Fernandez, Raquel and Frampton, Matthew and Frandsen, Michael and Frederickson, Clint and Graciarena, Martin and Kintzing, Donald and Leveque, Kyle and Mason, Shane and Niekrasz, John and Purver, Matthew and Riedhammer, Korbinian and Shriberg, Elizabeth and Tien, Jing and Vergyri, Dimitra and Yang, Fan}, title = {The CALO Meeting Assistant System}, series = {IEEE Transactions on Audio, Speech and Language Processing}, volume = {2010}, journal = {IEEE Transactions on Audio, Speech and Language Processing}, number = {18(6)}, pages = {1601 -- 1611}, year = {2010}, abstract = {The CALO Meeting Assistant (MA) provides for distributed meeting capture, annotation, automatic transcription and semantic analysis of multiparty meetings, and is part of the larger CALO personal assistant system. This paper presents the CALO-MA architecture and its speech recognition and understanding components, which include real-time and offline speech transcription, dialog act segmentation and tagging, topic identification and segmentation, question-answer pair identification, action item recognition, decision extraction, and summarization.}, language = {en} } @article{HaderleinRiedhammerMaieretal.2009, author = {Haderlein, Tino and Riedhammer, Korbinian and Maier, Andreas and N{\"o}th, Elmar and Eysholdt, Ulrich and Rosanowski, Frank}, title = {Automatisierung des Postlaryngektomie-Telefontests}, series = {HNO}, volume = {2009}, journal = {HNO}, number = {57}, publisher = {Springer-Verlag}, pages = {51 -- 56}, year = {2009}, abstract = {In dieser Studie wird ein objektives Verfahren f{\"u}r die Verst{\"a}ndlichkeitsmessung mit dem Postlaryngektomie-Telefontest (PLTT) mittels automatischer Spracherkennungstechnik beschrieben. 31 Sprecher mit tracheo{\"o}sophagealer Ersatzstimme (25 M{\"a}nner und 6 Frauen; 63,4±8,7 Jahre) wurden zun{\"a}chst von 11 naiven H{\"o}rern bewertet. Der vom Spracherkennungssystem ermittelte Verst{\"a}ndlichkeitsgrad wird als Prozentsatz korrekt verstandener W{\"o}rter einer Wortkette, der Wortakkuratheit bzw. -korrektheit, angegeben und mit den subjektiv ermittelten PLTT-Werten verglichen. Die durchschnittliche PLTT-Gesamtverst{\"a}ndlichkeit der 11 naiven H{\"o}rer liegt bei 47\%, die automatisch ermittelte Wortakkuratheit und Wortkorrektheit liegen deutlich niedriger (etwa 0\% bzw. etwa 15\%). Die Korrelation zwischen menschlicher und maschineller Bewertung liegt jedoch z. T. {\"u}ber 0,9. F{\"u}r den Gesamtverst{\"a}ndlichkeitswert des PLTT kann mit Hilfe der automatischen Spracherkennung objektiv und effizient ein {\"a}quivalentes Maß berechnet werden.}, language = {de} } @book{ErnstSchmidtBeneken2016, author = {Ernst, H. and Schmidt, Jochen and Beneken, Gerd}, title = {Grundkurs Informatik: Grundlagen und Konzepte f{\"u}r die erfolgreiche IT-Praxis - Eine umfassende, praxisorientierte Einf{\"u}hrung}, publisher = {Springer Vieweg}, address = {Berlin}, publisher = {Technische Hochschule Rosenheim}, year = {2016}, abstract = {Zahlensysteme und bin{\"a}re Arithmetik Nachricht und Information Codierung und Datenkompression Verschl{\"u}sselung Schaltalgebra, Schaltnetze und Elemente der Computerhardware Rechnerarchitekturen Rechnernetze Betriebssysteme Datenbanken Automatentheorie und formale Sprachen Berechenbarkeit und Komplexit{\"a}t Suchen und Sortieren B{\"a}ume und Graphen prozedurale und objektorientierte Programmierung (C und Java) Anwendungsprogrammierung im Internet (HTML, CSS, JavaScript und PHP) Software-Engineering}, language = {de} } @inproceedings{ZengerSchmidtKroedel2013, author = {Zenger, A. and Schmidt, Jochen and Kr{\"o}del, M.}, title = {Towards the Intelligent Home: Using Reinforcement-Learning for Optimal Heating Control}, series = {Advances in Artificial Intelligence, Proceedings of the 36th Annual Conference on AI, volume 8077 of Lecture Notes in Artificial Intelligence}, booktitle = {Advances in Artificial Intelligence, Proceedings of the 36th Annual Conference on AI, volume 8077 of Lecture Notes in Artificial Intelligence}, publisher = {Springer}, year = {2013}, abstract = {We propose a reinforcement learning approach to heating control in home automation, that can acquire a set of rules enabling an agent to heat a room to the desired temperature at a defined time while conserving as much energy as possible. Experimental results are presented that show the feasibility of our method.}, language = {en} } @article{DarmsFoelsterSchmidtetal.2010, author = {Darms, M. and F{\"o}lster, F. and Schmidt, Jochen and Fr{\"o}hlich, D. and Eckert, A.}, title = {Data Fusion Strategies in Advanced Driver Assistance Systems}, series = {SAE International Journal of Passenger Cars - Electronic and Electrical Systems}, journal = {SAE International Journal of Passenger Cars - Electronic and Electrical Systems}, year = {2010}, abstract = {Data fusion plays a central role in more and more automotive applications, especially for driver assistance systems. On the one hand the process of data fusion combines data and information to estimate or predict states of observed objects. On the other hand data fusion introduces abstraction layers for data description and allows building more flexible and modular systems.The data fusion process can be divided into a low-level processing (tracking and object discrimination) and a high level processing (situation assessment). High level processing becomes more and more the focus of current research as different assistance applications will be combined into one comprehensive assistance system. Different levels/strategies for data fusion can be distinguished: Fusion on raw data level, fusion on feature level and fusion on decision level. All fusion strategies can be found in current driver assistance implementations. The paper gives an overview of the different fusion strategies and shows their application in current driver assistance systems. For low level processing a raw data fusion approach in a stereo video system is described, as an example for feature level fusion the fusion of radar and camera data for tracking is explained. As an example for a high level fusion algorithm an approach for a situation assessment based on multiple sensors is given. The paper describes practical realizations of these examples and points out their potential to further increase traffic safety with reasonably low cost for the overall system.}, language = {en} } @inproceedings{WongYeapSchmidt2009, author = {Wong, C.K. and Yeap, W.K. and Schmidt, Jochen}, title = {Our Next Generation of Robotics Researchers? Teaching Robotics at Primary School Level.}, series = {Readings in Technology and Education: Proceedings of International Conference on Information Communication Technologies in Education}, booktitle = {Readings in Technology and Education: Proceedings of International Conference on Information Communication Technologies in Education}, year = {2009}, abstract = {In this paper, we present our experience in designing and teaching of our first robotics course for students at primary school level. The course was carried out over a comparatively short period of time, namely 6 weeks, 2 hours per week. In contrast to many other projects, we use robots that researchers used to conduct their research and discuss problems faced by these researchers. Thus, this is not a behavioural study but a hands-on learning experience for the students. The aim is to highlight the development of autonomous robots and artificial intelligence as well as to promote science and robotics in schools.}, language = {de} } @article{SchmidtNiemann2008, author = {Schmidt, Jochen and Niemann, H.}, title = {Data Selection for Hand-eye Calibration: A Vector Quantization Approach}, series = {The International Journal of Robotics Research}, journal = {The International Journal of Robotics Research}, year = {2008}, abstract = {This paper presents new vector quantization based methods for selecting well-suited data for hand-eye calibration from a given sequence of hand and eye movements. Data selection can improve the accuracy of classic hand-eye calibration, and make it possible in the first place in situations where the standard approach of manually selecting positions is inconvenient or even impossible, especially when using continuously recorded data. A variety of methods is proposed, which differ from each other in the dimensionality of the vector quantization compared to the degrees of freedom of the rotation representation, and how the rotation angle is incorporated. The performance of the proposed vector quantization based data selection methods is evaluated using data obtained from a manually moved optical tracking system (hand) and an endoscopic camera (eye).}, language = {en} } @incollection{YeapWongSchmidt2008, author = {Yeap, W.K. and Wong, C.K. and Schmidt, Jochen}, title = {Using a Mobile Robot to Test a Theory of Cognitive Mapping.}, series = {Robotics and Cognitive Approaches to Spatial Mapping, Springer Tracts in Advanced Robotics}, booktitle = {Robotics and Cognitive Approaches to Spatial Mapping, Springer Tracts in Advanced Robotics}, publisher = {Springer}, address = {Berlin}, publisher = {Technische Hochschule Rosenheim}, year = {2008}, abstract = {This paper describes using a mobile robot, equipped with some sonar sensors and an odometer, to test navigation through the use of a cognitive map. The robot explores an office environment, computes a cognitive map, which is a network of ASRs [36, 35], and attempts to find its way home. Ten trials were conducted and the robot found its way home each time. From four random positions in two trials, the robot estimated the home position relative to its current position reasonably accurately. Our robot does not solve the simultaneous localization and mapping problem and the map computed is fuzzy and inaccurate with much of the details missing. In each homeward journey, it computes a new cognitive map of the same part of the environment, as seen from the perspective of the homeward journey. We show how the robot uses distance information from both maps to find its way home.}, language = {en} } @inproceedings{SchmidtWongYeap2007, author = {Schmidt, Jochen and Wong, C.K. and Yeap, W.K.}, title = {Spatial Information Extraction for Cognitive Mapping with a Mobile Robot.}, series = {Conference on Spatial Information Theory: COSIT'07, Melbourne, Australia. Volume 4736 of Lecture Notes in Computer Science}, booktitle = {Conference on Spatial Information Theory: COSIT'07, Melbourne, Australia. Volume 4736 of Lecture Notes in Computer Science}, year = {2007}, abstract = {When animals (including humans) first explore a new environment, what they remember is fragmentary knowledge about the places visited. Yet, they have to use such fragmentary knowledge to find their way home. Humans naturally use more powerful heuristics while lower animals have shown to develop a variety of methods that tend to utilize two key pieces of information, namely distance and orientation information. Their methods differ depending on how they sense their environment. Could a mobile robot be used to investigate the nature of such a process, commonly referred to in the psychological literature as cognitive mapping? What might be computed in the initial explorations and how is the resulting "cognitive map" be used for localization? In this paper, we present an approach using a mobile robot to generate a "cognitive map", the main focus being on experiments conducted in large spaces that the robot cannot apprehend at once due to the very limited range of its sensors. The robot computes a "cognitive map" and uses distance and orientation information for localization.}, language = {en} } @article{SchmidtWongYeap2007, author = {Schmidt, Jochen and Wong, C.K. and Yeap, W.K.}, title = {Localisation and Mapping with a Mobile Robot Using Sparse Range Data}, series = {Autonomous Robots and Agents, Studies in Computational Intelligence (SCI),}, journal = {Autonomous Robots and Agents, Studies in Computational Intelligence (SCI),}, publisher = {Springer}, year = {2007}, abstract = {We present an approach for indoor mapping and localisation using sparse range data, acquired by a mobile robot equipped with sonar sensors. The chapter consists of two main parts. First, a split and merge based method for dividing a given metric map into distinct regions is presented, thus creating a topological map in a metric framework. Spatial information extracted from this map is then used for self-localisation on the return home journey. The robot computes local confidence maps for two simple localisation strategies based on distance and relative orientation of regions. These local maps are then fused to produce overall confidence maps.}, language = {de} } @inproceedings{WongYeapSchmidt2007, author = {Wong, C.K. and Yeap, W.K. and Schmidt, Jochen}, title = {Using a Mobile Robot for Cognitive Mapping}, series = {International Joint Conference on Artificial Intelligence (IJCAI), pages 2243-2248, Hyderabad, India, 2007}, booktitle = {International Joint Conference on Artificial Intelligence (IJCAI), pages 2243-2248, Hyderabad, India, 2007}, year = {2007}, abstract = {When animals (including humans) first explore a new environment, what they remember is fragmentary knowledge about the places visited. Yet, they have to use such fragmentary knowledge to find their way home. Humans naturally use more powerful heuristics while lower animals have shown to developa varietyof methodsthat tend to utilize two key pieces of information,namely distance and orientation information. Their methods differ depending on how they sense their environment. Could a mobile robot be used to investigate the nature of such a process, commonly referred to in the psychological literature as cognitive mapping? What might be computed in the initial explorations and how is the resulting "cognitive map" be used to return home? In this paper, we presented a novel approach using a mobile robot to do cognitive mapping. Our robot computes a "cognitive map" and uses distance and orientation information to find its way home. The process developed provides interesting insights into the nature of cognitive mapping and encourages us to use a mobile robot to do cognitive mapping in the future, as opposed to its popular use in robot mapping.}, language = {en} } @book{Schmidt2006, author = {Schmidt, Jochen}, title = {3-D Reconstruction and Stereo Self-Calibration for Augmented Reality}, publisher = {Logos}, address = {Berlin}, publisher = {Technische Hochschule Rosenheim}, year = {2006}, abstract = {The main focus of this work is the development of new methods for the self-calibration of a rigid stereo camera system. However, many of the algorithms introduced here have a wider impact, particularly in robot hand-eye calibration with all its different areas of application. Stereo self-calibration refers to the computation of the intrinsic and extrinsic parameters of a stereo rig using neither a priori knowledge on the movement of the rig nor on the geometry of the observed scene. The stereo parameters obtained by self-calibration, namely rotation and translation from left to right camera, are used for computing depth maps for both images, which are applied for rendering correctly occluded virtual objects into a real scene (Augmented Reality). The proposed methods were evaluated on real and synthetic data and compared to algorithms from the literature. In addition to a stereo rig, an optical tracking system with a camera mounted on an endoscope was calibrated without a calibration pattern using the proposed extended hand-eye calibration algorithm. The self-calibration methods developed in this work have a number of features, which make them easily applicable in practice: They rely on temporal feature tracking only, as this monocular tracking in a continuous image sequence is much easier than left-to-right tracking when the camera parameters are still unknown. Intrinsic and extrinsic camera parameters are computed during the self-calibration process, i.e., no calibration pattern is required. The proposed stereo self-calibration approach can also be used for extended hand-eye calibration, where the eye poses are obtained by structure-from-motion rather than from a calibration pattern. An inherent problem to hand-eye calibration is that it requires at least two general movements of the cameras in order to compute the rigid transformation. If the motion is not general enough, only a part of the parameters can be obtained, which would not be sufficient for computing depth maps. Therefore, a main part of this work discusses methods for data selection that increase the robustness of hand-eye calibration. Different new approaches are shown, the most successful ones being based on vector quantization. The data selection algorithms developed in this work can not only be used for stereo self-calibration, but also for classic robot hand-eye calibration, and they are independent of the actually used hand-eye calibration algorithm.}, language = {en} } @inproceedings{ZinsserSchmidtNiemann2003, author = {Zinßer, T. and Schmidt, Jochen and Niemann, H.}, title = {Performance Analysis of Nearest Neighbor Algorithms for ICP Registration of 3-D Point Sets}, series = {Vision, Modeling, and Visualization 2003}, booktitle = {Vision, Modeling, and Visualization 2003}, year = {2003}, abstract = {There are many nearest neighbor algorithms tailor made for ICP,but most of them require Special input data like range Images or triangle meshes. We focus on efficient nearest neighbor algorithms that do not impose this limitation, and thus can also be used with 3-D point sets generated by structure-frommotion techniques. We shortly present the evaluated algorithms and introduce the modifications we made to improve their efficiency. In particular, several enhancements to the well-known k-D tree algorithm are described. The first part of our Performance Analysis consists of Experiments on synthetic point sets, whereas the second part features experiments with the ICP algorithm on real point sets. Both parts are completed by a thorough evaluation of the obtained results.}, language = {en} } @article{ZobelDenzlerHeigletal.2003, author = {Zobel, M. and Denzler, J. and Heigl, B. and N{\"o}th, E. and Paulus, D. and Schmidt, Jochen and Stemmer, G.}, title = {MOBSY: Integration of vision and dialogue in service robots}, series = {Machine Vision and Applications}, journal = {Machine Vision and Applications}, year = {2003}, abstract = {This contribution introduces MOBSY, a fully integrated, autonomous mobile service robot system. It acts as an automatic dialogue-based receptionist for visitors to our institute. MOBSY incorporates many techniques from different research areas into one working stand-alone system. The techniques involved range from computer vision over speech understanding to classical robotics. Along with the two main aspects of vision and speech, we also focus on the integration aspect, both on the methodological and on the technical level. We describe the task and the techniques involved. Finally, we discuss the experiences that we gained with MOBSY during a live performance at our institute.}, language = {en} } @inproceedings{WenhardtSchmidtNiemann2002, author = {Wenhardt, S. and Schmidt, Jochen and Niemann, H.}, title = {Didaktische Aufbereitung von Methoden des Rechnersehens f{\"u}r virtuelle Vorlesungen}, series = {Forschungsbeitr{\"a}ge zur Didaktik der Informatik - Theorie, Praxis, Evaluation}, booktitle = {Forschungsbeitr{\"a}ge zur Didaktik der Informatik - Theorie, Praxis, Evaluation}, year = {2002}, abstract = {Dieser Artikel stellt ein Konzept f¨ur eine Online-Vorlesung im Rahmen der virtuellen Hochschule Bayern vor. Zun{\"a}chst werden kurz die fachlichen Inhalte erl¨autert, die es zu vermitteln gilt. Nach dieser Einf{\"u}hrung wird auf die Umsetzung der Inhalte in eine dem neuen Medium Internet angemessene Form eingegangen. Dies betrifft vor allem die ausgew{\"a}hlten Techniken, die zur Wissensvermittlung eingesetzt werden. Ein besonderer Schwerpunkt liegt auf der M{\"o}glichkeit durch Interaktivit{\"a}t das Wissen experimentell zu vertiefen und somit eine Verbindung zwischen dem theoretisch Gelernten und dem praktisch Erfahrenen herzustellen. Weiterhin wird eine Vielfalt an Kommunikationsm¨oglichkeiten vorgestellt, da Kommunikation eine wichtige soziale Komponente im Lernprozess und h¨aufig entscheidend f¨ur den Erfolg ist.}, language = {de} } @inproceedings{SchmidtVogtNiemann2002, author = {Schmidt, Jochen and Vogt, F. and Niemann, H.}, title = {Nonlinear Refinement of Camera Parameters using an Endoscopic Surgery Robot}, series = {Proceedings of IAPR Conference on Machine Vision Applications (MVA)}, booktitle = {Proceedings of IAPR Conference on Machine Vision Applications (MVA)}, year = {2002}, abstract = {We present an Approach for non linea roptimization of the parameters of an endoscopic camera mounted on a surgery robot. The goal is to generate a depth map for each image in order to enhance the quality of medical light fields. The pose information provided by the robot is used as an initialization, where especially the orientation isi naccurate. Refinement of intrinsic and extrinsic camera parameters is performed by minimizing the back-projectionerror of 3-D points that are reconstructed by triangulation from image Feature stracked over an image sequence. Optimization of the camera parameters results in an enhancement of Rendering Quality in two ways: More accurate parameters lead to better interpolation as well as to better depth maps for approximating the scenegeometry.}, language = {en} } @inproceedings{SchmidtNiemannVogt2002, author = {Schmidt, Jochen and Niemann, H. and Vogt, F.}, title = {Dense Disparity Maps in Real-Time with an Application to Augmented Reality}, series = {Proceedings Sixth IEEE Workshop on Applications of Computer Vision (WACV 2002), pages 225-230, Orlando, FL USA}, booktitle = {Proceedings Sixth IEEE Workshop on Applications of Computer Vision (WACV 2002), pages 225-230, Orlando, FL USA}, year = {2002}, abstract = {This work presents a technique for computing dense disparity maps from a binocular stereo camera system. The methods are applied in an Augmented Reality setting for combining real and virtual worlds with proper occlusions. The proposed stereo correspondence technique is based oil area matching and facilitates an efficient strategy by using the concept of a three-dimensional similarity accumulator whereby occlusions are detected and object boundaries are extracted correctly. The main contribution of this paper is the way we fill the accumulator using absolute differences of images and computing a mean filter on these difference images. This. is. where the main advantages of the accumulator approach can be exploited, since all entries can be computed in parallel and thus extremely efficient. Additionally, we-perform an asymmetric correction step and a post-processing of the disparity maps that maintains object edges.}, language = {en} } @inproceedings{SchmidtNiemann2002, author = {Schmidt, Jochen and Niemann, H.}, title = {Using Quaternions for Parametrizing 3D Rotations in Unconstrained Nonlinear Optimization}, series = {Vision, Modeling, and Visualization 2001, pages 399-406, Stuttgart, Germany}, booktitle = {Vision, Modeling, and Visualization 2001, pages 399-406, Stuttgart, Germany}, year = {2002}, abstract = {In this paper we address the problem of using quaternions in unconstrained nonlinear optimization of 3-D rotations. Quaternions representing rotations have four elements but only three degrees of freedom, since they must be of norm one. This constraint has to be taken into account when applying e.g. the Levenberg-Marquardt algorithm, a method for unconstrained nonlinear optimization widely used in computer vision. We propose an easy to use method for achieving this. Experiments using our parametrization in photo grammetric b{\"u}ndle -adjustment are presented at the end of the paper.}, language = {en} } @inproceedings{SchmidtScholzNiemann2001, author = {Schmidt, Jochen and Scholz, I. and Niemann, H.}, title = {Placing Arbitrary Objects in a Real Scene Using a Color Cube for Pose Estimation}, series = {Pattern Recognition, 23rd DAGM Symposium}, booktitle = {Pattern Recognition, 23rd DAGM Symposium}, year = {2001}, abstract = {We describe an Augmented Reality system using the corners of a color cube for camera calibration. In the augmented image the cube is replaced by a computer generated virtual object. The cube is localized in an image by the CSC color segmentation algorithm. The camera projection matrix is estimated with a linear method that is followed by a nonlinear refinement step. Because of possible missclassifications of the segmented color regions and the minimum number of point correspondences used for calibration, the estimated pose of the cube may be very erroneous for some frames; therefore we perform outlier detection and treatment for rendering the virtual object in an acceptable manner.}, language = {en} } @inproceedings{ScholzSchmidtNiemann2001, author = {Scholz, I. and Schmidt, Jochen and Niemann, H.}, title = {Farbbildverarbeitung unter Echtzeitbedingungen in der Augmented Reality}, series = {Workshop Farbbildverarbeitung, pages 59-65, Erlangen, Germany, 4.-5. Oktober 2001. Universit{\"a}t Erlangen-N{\"u}rnberg, Institut f{\"u}r Informatik}, booktitle = {Workshop Farbbildverarbeitung, pages 59-65, Erlangen, Germany, 4.-5. Oktober 2001. Universit{\"a}t Erlangen-N{\"u}rnberg, Institut f{\"u}r Informatik}, year = {2001}, abstract = {Es wird ein System aus der Augmented Reality (Erweiterte Reali{\"a}at, AR) vorgestellt, das zur Kamerakalibrierung einen farbigen W{\"u}rfel verwendet, der außerdem als Platzhalter f{\"u}r ein virtuelles Objekt dient. Zur Erkennung des W{\"u}rfels in einer Szene werden Methoden aus der Farbbildverarbeitung verwendet, wie der Color Structure Code (CSC) und die Klassifikation der entstehenden Regionen nach ihrer Farbe. Zur Beschleunigung der Segmentierung wird ein hierarchisches Verfahren eingesetzt.}, language = {de} } @article{ZobelDenzlerHeigletal.2001, author = {Zobel, M. and Denzler, J. and Heigl, B. and N{\"o}th, E. and Paulus, D. and Schmidt, Jochen and Stemmer, G.}, title = {Demonstration von Bildverarbeitung und Sprachverstehen in der Dienstleistungsrobotik}, series = {Autonome Mobile Systeme}, journal = {Autonome Mobile Systeme}, year = {2001}, abstract = {Die typischerweise gew{\"u}nschten Einsatzgebiete f{\"u}r Dienstleistungsroboter, z. B. Krankenh{\"a}user oder Seniorenheime, stellen sehr hohe Anforderungen an die Mensch-Maschine-Schnittstelle. Diese Erfordernisse gehen im Allgemeinen {\"u}ber die M{\"o}glichkeiten der Standardsensoren, wie Ultraschalloder Infrarotsensoren, hinaus. Es m{\"u}ssen daher erg{\"a}nzende Verfahren zum Einsatz kommen. Aus der Sicht der Mustererkennung sind die Nutzung des Rechnersehens und des nat{\"u}rlichsprachlichen Dialogs von besonderem Interesse. Dieser Beitrag stellt das mobile System MOBS Y vor. MOBS Y ist ein vollkommen integrierter autonomer mobiler Dienstleistungsroboter. Er dient als ein automatischer dialogbasierter Empfangsservice f{\"u}r Besucher unseres Instituts. MOBSY vereinigt vielf{\"a}ltige Methoden aus unterschiedlichsten Forschungsgebieten in einem eigenst{\"a}ndigen System. Die zum Einsatz kommenden Methoden aus dem Bereich der Bildverarbeitung reichen dabei von Objektklassifikation {\"u}ber visuelle Selbstlokalisierung und Rekalibrierung bis hin zu multiokularer Objektverfolgung. Die Dialogkomponente umfasst Methoden der Spracherkennung, des Sprachverstehens und die Generierung von Antworten. Im Beitrag werden die zu erf{\"u}llende Aufgabe und die einzelnen Verfahren dargestellt.}, language = {de} } @inproceedings{ZobelDenzlerHeigletal.2001, author = {Zobel, M. and Denzler, J. and Heigl, B. and N{\"o}th, E. and Paulus, D. and Schmidt, Jochen and Stemmer, G.}, title = {MOBSY: Integration of vision and dialogue in service robots}, series = {Computer Vision Systems, Proceedings Second International Workshop, ICVS 2001, Vancouver, Canada}, booktitle = {Computer Vision Systems, Proceedings Second International Workshop, ICVS 2001, Vancouver, Canada}, year = {2001}, abstract = {MOBSY is a fully integrated autonomous mobile service robot system. It acts as an automatic dialogue based receptionist for visitors of our institute. MOBSY incorporates many techniques from different research areas into one working stand-alone system. Especially the computer vision and dialogue aspects are of main interest from the pattern recognition's point of view. To summarize shortly, the involved techniques range from object classification over visual self-localization and recalibration to object tracking with multiple cameras. A dialogue component has to deal with speech recognition, understanding and answer generation. Further techniques needed are navigation, obstacle avoidance, and mechanisms to provide fault tolerant behavior. This contribution introduces our mobile system MOBSY. Among the main aspects vision and speech, we focus also on the integration aspect, both on the methodological and on the technical level. We describe the task and the involved techniques. Finally, we discuss the experiences that we gained with MOBSY during a live performance at the 25th anniversary of our institute}, language = {en} } @inproceedings{SchmidtWongYeap2006, author = {Schmidt, Jochen and Wong, C.K. and Yeap, W.K.}, title = {Mapping and Localisation with Sparse Range Data}, series = {International Conference on Autonomous Robots and Agents (ICARA), pages 497-502, Palmerston North, New Zealand}, booktitle = {International Conference on Autonomous Robots and Agents (ICARA), pages 497-502, Palmerston North, New Zealand}, year = {2006}, abstract = {We present an approach for indoor mapping and localization with a mobile robot using sparse range data, without the need for solving the SLAM problem. The paper consists of two main parts. First, a split and merge based method for dividing a given metric map into distinct regions is presented, thus creating a topological map in a metric framework. Spatial information extracted from this map is then used for self-localization. The robot computes local confidence maps for two simple localization strategies based on distance and relative orientation of regions. The local confidence maps are then fused using an approach adapted from computer vision to produce overall confidence maps. Experiments on data acquired by mobile robots equipped with sonar sensors are presented.}, language = {en} } @inproceedings{SchmidtWongYeap2006, author = {Schmidt, Jochen and Wong, C.K. and Yeap, W.K.}, title = {A Split \& Merge Approach to Metric-Topological Map-Building}, series = {International Conference on Pattern Recognition (ICPR), volume 3, pages 1069-1072, Hong Kong}, booktitle = {International Conference on Pattern Recognition (ICPR), volume 3, pages 1069-1072, Hong Kong}, year = {2006}, abstract = {We present a novel split and merge based method for dividing a given metric map into distinct regions, thus effectively creating a topological map on top of a metric one. The initial metric map is obtained from range data that are converted to a geometric map consisting of linear approximations of the indoor environment. The splitting is done using an objective function that computes the quality of a region, based on criteria such as the average region width (to distinguish big rooms from corridors) and overall direction (which accounts for sharp bends). A regularization term is used in order to avoid the formation of very small regions, which may originate from missing or unreliable sensor data. Experiments based on data acquired by a mobile robot equipped with sonar sensors are presented, which demonstrate the capabilities of the proposed method.}, language = {en} } @inproceedings{WongYeapSchmidt2006, author = {Wong, C.K. and Yeap, W.K. and Schmidt, Jochen}, title = {Computing a Network of ASRs Using a Mobile Robot Equipped with Sonar Sensors}, series = {International Conference on Robotics, Automation, and Mechatronics (RAM), pages 57-62, Bangkok, Thailand}, booktitle = {International Conference on Robotics, Automation, and Mechatronics (RAM), pages 57-62, Bangkok, Thailand}, year = {2006}, abstract = {This paper presents a novel algorithm for computing absolute space representations (ASRs) in Yeap, W.K. and Jefferies, M. (1988) for mobile robots equipped with sonar sensors and an odometer. The robot is allowed to wander freely (i.e. without following any fixed path) along the corridors in an office environment from a given start point to an end point. It then wanders from the end point back to the start point. The resulting ASRs computed in both directions are shown}, language = {en} } @inproceedings{YeapWongSchmidt2006, author = {Yeap, W.K. and Wong, C.K. and Schmidt, Jochen}, title = {Initial Experiments with a Mobile Robot on Cognitive Mapping}, series = {International Symposium on Practical Cognitive Agents and Robots (PCAR 2006), pages 221-230, Perth, Australia}, booktitle = {International Symposium on Practical Cognitive Agents and Robots (PCAR 2006), pages 221-230, Perth, Australia}, year = {2006}, abstract = {This paper shows how a mobile robot equipped with sonar sensors and an odometer is used to test ideas about cognitive mapping. The robot first explores an office environment and computes a "cognitive map" which is a network of ASRs [1]. The robot generates two networks, one for the outward journey and the other for the journey home. It is shown that both networks are different. The two networks, however, are not merged to form a single network. Instead, the robot attempts to use distance information implicit in the shape of each ASR to find its way home. At random positions in the homeward journey, the robot calculates its orientation towards home. The robot's performances for both problems are evaluated and found to be surprisingly accurate.}, language = {en} } @inproceedings{SchmidtVogtNiemann2005, author = {Schmidt, Jochen and Vogt, F. and Niemann, H.}, title = {Calibration-Free Hand-Eye Calibration: A Structure-from-Motion Approach}, series = {Joint Pattern Recognition Symposium}, booktitle = {Joint Pattern Recognition Symposium}, publisher = {Springer}, address = {Berlin}, year = {2005}, abstract = {The paper presents an extended hand-eye calibration approach that, in contrast to the standard method, does not require a calibration pattern for determining camera position and orientation. Instead, a structure-from-motion algorithm is applied for obtaining the eye-data that is necessary for computing the unknown hand-eye transformation. Different ways of extending the standard algorithm are presented, which mainly involves the estimation of a scale factor in addition to rotation and translation. The proposed methods are experimentally compared using data obtained from an optical tracking system that determines the pose of an endoscopic camera. The approach is of special interest in our clinical setup, as the usage of an unsterile calibration pattern is difficult in a sterile environment.}, language = {en} } @inproceedings{ZinsslerSchmidtNiemann2005, author = {Zinßler, T. and Schmidt, Jochen and Niemann, H.}, title = {Point Set Registration with Integrated Scale Estimation}, series = {Proceedings of the Eighth International Conference on Pattern Recognition and Image Processing (PRIP 2005), pages 116-119, Minsk, Republic of Belarus}, booktitle = {Proceedings of the Eighth International Conference on Pattern Recognition and Image Processing (PRIP 2005), pages 116-119, Minsk, Republic of Belarus}, year = {2005}, abstract = {Wepresentaniterativeregistrationalgorithmfor aligning two differently scaled 3-D point sets. It extends the popular Iterative Closest Point (ICP) algorithm by estimating a scale factor between the two point sets in every iteration. The presented algorithm is especially useful for the registration of point sets generated by structure-frommotion algorithms, which only reconstruct the 3-D structure of a scene upto scale. LiketheoriginalICPalgorithm,thepresentedalgorithm requires a rough pre-alignment of the point sets. In order to determine the necessary accuracy of the pre-alignment, wehaveexperimentallyevaluatedthebasinofconvergence of the algorithm with respect to the initial rotation, translation, andscale factor between the two point sets.}, language = {en} } @inproceedings{SchmidtVogtNiemann2005, author = {Schmidt, Jochen and Vogt, F. and Niemann, H.}, title = {Vector Quantization Based Data Selection for Hand-Eye Calibration}, series = {Vision, Modeling, and Visualization 2004, pages 21-28, Stanford, USA}, booktitle = {Vision, Modeling, and Visualization 2004, pages 21-28, Stanford, USA}, year = {2005}, abstract = {The paper presents a new vectorquantization based Approach for selecting well-suited data for hand-eye calibration from a given sequence of hand and eye movements. Data selection is essential if control of the movements used for calibration is not possible, especially when using continuously recorded data. The new algorithm is compared to another method for data selection as well as to the processing of subsequent movements. Experimental results on real and synthetic data sets show the superior performance of the new approach with respect to calibration errors and computation time. Real data has been obtained from an optical tracking system and a camera mounted on an endoscope, the goal being the reconstruction of medical lightfields.}, language = {en} } @article{VogtKruegerSchmidtetal.2004, author = {Vogt, F. and Kr{\"u}ger, S. and Schmidt, Jochen and Paulus, D. and Niemann, H. and Hohenberger, W. and C. H., Schick}, title = {Light Fields for Minimal Invasive Surgery Using an Endoscope Positioning Robot}, series = {Methods of Information in Medicine}, journal = {Methods of Information in Medicine}, year = {2004}, abstract = {OBJECTIVES: To generate a fast and robust 3-D visualization of the operation site during minimal invasive surgery. METHODS: Light fields are used to model and visualize the 3-D operation site during minimal invasive surgery. An endoscope positioning robot provides the position and orientation of the endoscope. The a priori un-known transformation from the endoscope plug to the endoscope tip (hand-eye transformation) can either be determined by a three-step algorithm, which includes measuring the endoscope length by hand or by using an automatic hand-eye calibration algorithm. Both methods are described in this paper and their respective computation times and accuracies are compared. RESULTS: Light fields were generated during real operations and in the laboratory. The comparison of the two methods to determine the unknown hand-eye transformation was done in the laboratory. The results which are being presented in this paper are: rendered images from the generated light fields, the calculated extrinsic camera parameters and their accuracies with respect to the applied hand-eye calibration method, and computation times. CONCLUSION: Using an endoscope positioning robot and knowing the hand-eye transformation, the fast and robust generation of light fields for minimal invasive surgery is possible.}, language = {en} } @inproceedings{SchmidtVogtNiemann2003, author = {Schmidt, Jochen and Vogt, F. and Niemann, H.}, title = {Robust Hand-Eye Calibration of an Endoscopic Surgery Robot Using Dual Quaternions}, series = {Pattern Recognition, Proceedings of the 25th DAGM Symposium, Magdeburg}, booktitle = {Pattern Recognition, Proceedings of the 25th DAGM Symposium, Magdeburg}, year = {2003}, abstract = {This paper presents an approach for applying a dual quaternion hand-eye calibration algorithm on an endoscopic surgery robot. Special focus is on robustness, since the error of position and orientation data provided by the robot can be large depending on the movement actually executed. Another inherent problem to all hand-eye calibration methods is that non-parallel rotation axes must be used; otherwise, the calibration will fail. Thus we propose a method for increasing the numerical stability by selecting an optimal set of relative movements from the recorded sequence. Experimental evaluation shows the error in the estimated transformation when using well-suited and ill-suited data. Additionally, we show how a RANSAC approach can be used for eliminating the erroneous robot data from the selected movements.}, language = {en} } @inproceedings{ZinsserSchmidtNiemann2003, author = {Zinßer, T. and Schmidt, Jochen and Niemann, H.}, title = {A Refined ICP Algorithm for Robust 3-D Correspondence Estimation}, series = {Proceedings of the IEEE International Conference on Image Processing, volume 2, pages 695-698, Barcelona, Spain}, booktitle = {Proceedings of the IEEE International Conference on Image Processing, volume 2, pages 695-698, Barcelona, Spain}, year = {2003}, abstract = {Robust registration of two 3-D point sets is a common problem in computer vision. The iterative closest point (ICP) algorithm is undoubtedly the most popular algorithm for solving this kind of problem. In this paper, we present the Picky ICP algorithm, which has been created by merging several extensions of the standard ICP algorithm, thus improving its robustness and computation time. Using pure 3-D point sets as input data, we do not consider additional information like point color or neighborhood relations. In addition to the standard ICP algorithm and the Picky ICP algorithm proposed in this paper, a robust algorithm due to Masuda and Yokoya and the RICP algorithm by Trucco et al. are evaluated. We have experimentally determined the basin of convergence, robustness to noise and outliers, and computation time of these four ICP based algorithms}, language = {en} } @inproceedings{AdlerDomisHoefigetal.2010, author = {Adler, Rasmus and Domis, Dominik and H{\"o}fig, Kai and Kemmann, S{\"o}ren and Kuhn, Thomas and Schwinn, Jean- Pascal and Trapp, Mario}, title = {Integration of component fault trees into the UML}, series = {International Conference on Model Driven Engineering Languages and Systems.}, booktitle = {International Conference on Model Driven Engineering Languages and Systems.}, publisher = {Springer-Verlag}, address = {Berlin, Heidelberg}, pages = {312 -- 327}, year = {2010}, abstract = {Efficient safety analyses of complex software intensive embedded systems are still a challenging task. This article illustrates how model-driven development principles can be used in safety engineering to reduce cost and effort. To this end, the article shows how well accepted safety engineering approaches can be shifted to the level of model-driven development by integrating safety models into functional development models. Namely, we illustrate how UML profiles, model transformations, and techniques for multi language development can be used to seamlessly integrate component fault trees into the UML.}, language = {en} } @book{ErnstSchmidtBeneken2020, author = {Ernst, Hartmut and Schmidt, Jochen and Beneken, Gerd}, title = {Grundkurs Informatik: Grundlagen und Konzepte f{\"u}r die erfolgreiche IT-Praxis - Eine umfassende, praxisorientierte Einf{\"u}hrung}, edition = {7}, publisher = {Springer Vieweg}, address = {Wiesbaden}, isbn = {978-3-658-30330-3}, publisher = {Technische Hochschule Rosenheim}, pages = {863}, year = {2020}, abstract = {Zahlensysteme und bin{\"a}re Arithmetik - Nachricht und Information - Codierung und Datenkompression - Verschl{\"u}sselung - Schaltalgebra, Schaltnetze und Elemente der Computerhardware - Rechnerarchitekturen - Rechnernetze - Betriebssysteme - prozedurale und objektorientierte Programmierung (C und Java) - Automatentheorie und formale Sprachen - Berechenbarkeit und Komplexit{\"a}t - Suchen und Sortieren - B{\"a}ume und Graphen - Software-Engineering - Datenbanken - Anwendungsprogrammierung im Internet (HTML, CSS, JavaScript und PHP) - Deep Learning mit neuronalen Netzen}, language = {de} } @book{Schmidt2020, author = {Schmidt, Jochen}, title = {Grundkurs Informatik - Das {\"U}bungsbuch: 148 Aufgaben mit L{\"o}sungen}, edition = {2}, publisher = {Springer Vieweg}, address = {Wiesbaden}, isbn = {978-3-658-30332-7}, publisher = {Technische Hochschule Rosenheim}, pages = {187}, year = {2020}, language = {de} } @inproceedings{ZahoranskyMuehlbauerKoenig2020, author = {Zahoransky, Richard and M{\"u}hlbauer, Wolfgang and K{\"o}nig, Hartmut}, title = {Towards Mobility Support in Edge Clouds}, series = {2020 IEEE Cloud Summit}, booktitle = {2020 IEEE Cloud Summit}, editor = {IEEE,}, publisher = {IEEE Xplore}, pages = {1 -- 6}, year = {2020}, abstract = {Mobile-access edge clouds provide distributed com-pute capacities for low-latency applications. 5G technology willpave the way for such mobile deployment scenarios. In thispaper, we propose an edge cloud infrastructure that supportslow-latency video analysis connected with bandwidth reductionfor a moving group of persons. As example, we consider a mobilebody camera scenario that monitors the situation in a certain areaand transmits it to an operations center. Our discussion focuseson three aspects: mobility support, low-latency video processing,and bandwidth reduction. For this, we propose a mobile edgecloud infrastructure with a central cloud. In order to optimizevideo processing we optimize the edge cloud device assignmentof the cameras depending on their movement by reassigning itto another cloud device. This requires live migration of ongoingvideo analysis between edge devices. Finally we discuss the useof a mobile central cloud.}, language = {en} } @article{Frank2017, author = {Frank, Ludwig}, title = {The Binomial and Negative Binomial Distribution in Discrete Time Markov Chains}, series = {Markov Processes And Related Fields}, volume = {23}, journal = {Markov Processes And Related Fields}, number = {3}, pages = {377 -- 400}, year = {2017}, abstract = {The classical results of the binomial and negative binomial probability distribution are generalized by means of homogeneous Discrete Time Markov Chains to series of stochastically independent random trials. These have not only two possible outcomes but two groups of them -- different kinds of successes and failures with occurrence probabilities depending on the outcome of the previous trial. This generalization allows a uniform view of occupation time, first passage time and recurrence time. Our results are consequently derived and presented in matrix form, the probabilities as well as the moments. They can be applied to all Discrete Time Markov Chains, especially in computer capacity planning, performability and economics.}, language = {en} } @article{WenningerMaierSchmidt2021, author = {Wenninger, Marc and Maier, Andreas and Schmidt, Jochen}, title = {DEDDIAG, a domestic electricity demand dataset of individual appliances in Germany}, series = {Scientific Data}, volume = {8}, journal = {Scientific Data}, number = {176}, pages = {15}, year = {2021}, abstract = {Real-world domestic electricity demand datasets are the key enabler for developing and evaluating machine learning algorithms that facilitate the analysis of demand attribution and usage behavior. Breaking down the electricity demand of domestic households is seen as the key technology for intelligent smart-grid management systems that seek an equilibrium of electricity supply and demand. For the purpose of comparable research, we publish DEDDIAG, a domestic electricity demand dataset of individual appliances in Germany. The dataset contains recordings of 15 homes over a period of up to 3.5 years, wherein total 50 appliances have been recorded at a frequency of 1 Hz. Recorded appliances are of significance for load-shifting purposes such as dishwashers, washing machines and refrigerators. One home also includes three-phase mains readings that can be used for disaggregation tasks. Additionally, DEDDIAG contains manual ground truth event annotations for 14 appliances, that provide precise start and stop timestamps. Such annotations have not been published for any long-term electricity dataset we are aware of.}, language = {en} } @inproceedings{BayerlWenningerSchmidtetal.2021, author = {Bayerl, Sebastian P. and Wenninger, Marc and Schmidt, Jochen and Wolff von Gudenberg, Alexander and Riedhammer, Korbinian}, title = {STAN: A stuttering therapy analysis helper}, series = {2021 IEEE Spoken Language Technology Workshop (SLT)}, booktitle = {2021 IEEE Spoken Language Technology Workshop (SLT)}, pages = {2}, year = {2021}, abstract = {Stuttering is a complex speech disorder identified by repetitions, prolongations of sounds, syllables or words and blockswhile speaking. Specific stuttering behaviour differs strongly,thus needing personalized therapy. Therapy sessions requirea high level of concentration by the therapist. We introduce STAN, a system to aid speech therapists in stuttering therapysessions. Such an automated feedback system can lower the cognitive load on the therapist and thereby enable a more consistent therapy as well as allowing analysis of stuttering over the span of multiple therapy sessions.}, language = {en} } @inproceedings{WenningerBayerlMaieretal.2021, author = {Wenninger, Marc and Bayerl, Sebastian P. and Maier, Andreas and Schmidt, Jochen}, title = {Recurrence Plot Spacial Pyramid Pooling Network for Appliance Identification in Non-Intrusive Load Monitoring}, series = {2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)}, booktitle = {2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)}, pages = {108 -- 115}, year = {2021}, abstract = {Parameter free Non-intrusive Load Monitoring (NILM) algorithms are a major step toward real-world NILM scenarios. The identification of appliances is the key element in NILM. The task consists of identification of the appliance category and its current state. In this paper, we present a param- eter free appliance identification algorithm for NILM using a 2D representation of time series known as unthresholded Recurrence Plots (RP) for appliance category identification. One cycle of voltage and current (V-I trajectory) are transformed into a RP and classified using a Spacial Pyramid Pooling Convolutional Neural Network architecture. The performance of our approach is evaluated on the three public datasets COOLL, PLAID and WHITEDv1.1 and compared to previous publications. We show that compared to other approaches using our architecture no initial parameters have to be manually tuned for each specific dataset.}, language = {en} } @inproceedings{FraunholzSchoerghoferVrinssenKoenigetal.2021, author = {Fraunholz, Daniel and Sch{\"o}rghofer-Vrinssen, Richard and K{\"o}nig, Hartmut and M{\"u}hlbauer, Wolfgang and Zahoransky, Richard}, title = {Mobility-Enabling Edge Cloud Infrastructure: Testbed and Experimental Evaluation}, series = {2021 IEEE Cloud Summit}, booktitle = {2021 IEEE Cloud Summit}, pages = {19 -- 24}, year = {2021}, abstract = {Mobility management is a key feature of mobile edge computing. We present an edge cloud infrastructure testbed to explore various mobility scenarios. The design objection of this testbed has been a flexible open platform based on commodity hardware that can easily be scaled with more edge devices and compute resources to perform various edge cloud experiments. As first experiments on our testbed, we have investigated the feasibility of task migration among edge devices caused by edge device overload and unpredictable user movements. We describe the migration process and present some measurements to demonstrate the feasibility.}, language = {en} } @article{NeumayerStecherGrimmetal.2023, author = {Neumayer, Martin and Stecher, Dominik and Grimm, Sebastian and Maier, Andreas and B{\"u}cker, Dominikus and Schmidt, Jochen}, title = {Fault and anomaly detection in district heating substations: A survey on methodology and data sets}, series = {Energy}, volume = {276}, journal = {Energy}, doi = {10.1016/j.energy.2023.127569}, pages = {127569}, year = {2023}, abstract = {District heating systems are essential building blocks for affordable, low-carbon heat supply. Early detection and elimination of faults is crucial for the efficiency of these systems and necessary to achieve the low temperatures targeted for 4th generation district heating systems. Especially methods for fault and anomaly detection in district heating substations are currently of high interest, as faults in substations can be repaired quickly and inexpensively, and smart meter data are becoming widely available. In this paper, we review recent scientific publications presenting data-driven approaches for fault and anomaly detection in district heating substations with a focus on methods and data sets. Our review indicates that researchers use a wide variety of methods, mostly focusing on unsupervised anomaly detection rather than fault detection. This is due to a lack of labeled data sets, preventing the use of supervised learning methods and quantitative analysis. Together with the lack of publicly available data sets, this impedes the accurate comparison of individual methods. To overcome this impediment, increase the comparability of different methods and foster competition, future research should focus on establishing publicly available data sets, and industry-relevant metrics as benchmarks.}, language = {en} } @book{ErnstSchmidtBeneken2023, author = {Ernst, Hartmut and Schmidt, Jochen and Beneken, Gerd}, title = {Grundkurs Informatik: Grundlagen und Konzepte f{\"u}r die erfolgreiche IT-Praxis - Eine umfassende, praxisorientierte Einf{\"u}hrung}, edition = {8}, publisher = {Springer Vieweg}, address = {Wiesbaden}, isbn = {9783658417789}, doi = {10.1007/978-3-658-41779-6}, publisher = {Technische Hochschule Rosenheim}, pages = {915}, year = {2023}, abstract = {Das Buch bietet eine umfassende und praxisorientierte Einf{\"u}hrung in die wesentlichen Grundlagen und Konzepte der Informatik. Es umfasst den Stoff, der typischerweise in den ersten Semestern eines Informatikstudiums vermittelt wird, vertieft Zusammenh{\"a}nge, die dar{\"u}ber hinausgehen und macht sie verst{\"a}ndlich. Die Themenauswahl orientiert sich an der langfristigen Relevanz f{\"u}r die praktische Anwendung. Praxisnah und aktuell werden die Inhalte f{\"u}r Studierende der Informatik und verwandter Studieng{\"a}nge sowie f{\"u}r im Beruf stehende Praktiker vermittelt.}, language = {de} } @book{Schmidt2023, author = {Schmidt, Jochen}, title = {Grundkurs Informatik - Das {\"U}bungsbuch: 163 Aufgaben mit L{\"o}sungen}, edition = {3}, publisher = {Springer Vieweg}, address = {Wiesbaden}, isbn = {978-3658434427}, doi = {10.1007/978-3-658-43443-4}, publisher = {Technische Hochschule Rosenheim}, pages = {216}, year = {2023}, abstract = {Das Buch richtet sich an Studierende der Informatik oder verwandter Studieng{\"a}nge und enth{\"a}lt {\"U}bungsaufgaben mit L{\"o}sungen aus Gebieten, die typischerweise in den ersten Semestern als Grundlagen behandelt werden. Ausgenommen ist der Bereich des Programmierens. Das Buch erg{\"a}nzt den Grundkurs Informatik mit {\"U}bungen zu ausgew{\"a}hlten Kapiteln, ist aber auch in Kombination mit anderen Lehrb{\"u}chern verwendbar.}, language = {de} } @article{StecherNeumayerRamachandranetal.2024, author = {Stecher, Dominik and Neumayer, Martin and Ramachandran, Adithya and Hort, Anastasia and Maier, Andreas and B{\"u}cker, Dominikus and Schmidt, Jochen}, title = {Creating a labelled district heating data set: From anomaly detection towards fault detection}, series = {Energy}, volume = {313}, journal = {Energy}, publisher = {Elsevier}, doi = {10.1016/j.energy.2024.134016}, pages = {134016}, year = {2024}, abstract = {For an efficient operation of district heating systems, being able to detect anomalies and faults at an early stage is highly desirable. Here, data-driven machine learning methods can be a cornerstone, particularly for fault detection in district heating substations, where the availability of heat meter data keeps increasing. However, the creation of data sets suitable for training such machine learning models poses challenges to researchers and practitioners alike. To address this problem, we propose a systematic and domain-specific process for data set creation for fault detection in the form of practical guidelines. This process concretizes the data science and data mining cross-industry standard CRISP-DM for the district heating domain and focuses on the process steps of goal definition, data acquisition and understanding, and data curation. We aim to enable researchers and practitioners to create data sets for fault detection in the district heating domain and therefore also enable the creation or improvement of machine learning models in this domain. In addition, we propose a minimum viable feature set for fault detection in district heating networks with the goal of enabling better cooperation between researchers and easier transfer of the resulting machine learning models, to better proliferate new progress in the field.}, language = {en} } @phdthesis{Wenninger2024, author = {Wenninger, Marc}, title = {Demand Response Management Using Machine Learning Methods}, doi = {10.25593/open-fau-448}, school = {Technische Hochschule Rosenheim}, year = {2024}, abstract = {The worldwide transformation of electricity production from fossil and nuclear energy sources to renewable energy sources is accompanied by many challenges. One of those challenges is finding an equilibrium of supply and demand - an important balance for the stability of electric grids. Production and consumption are kept in balance by adapting electricity production to consumption. Most renewable energy sources do not produce energy when demanded, but when natural conditions are suitable. As energy cannot yet be stored efficiently, over-production is as much of a problem as underproduction. Demand Response (DR) is the means for end-users to contribute to the balancing challenge. Providing the end-users with an incentive such as time-based pricing that changes according to the supply will encourage users to contribute to the equilibrium. Users' contribution usually has implications for their daily habits and can be associated with discomfort, thus it requires a high level of involvement. Lowering the required involvement is therefore seen as an important step toward an acceptance of time-based pricing. Since the 1980s, machine learning has been seen as a solution to lower the barrier for private households to participate. The idea is to provide households with information about their electricity consumption, make recommendations on behavior changes or take automated actions. Such information can be retrieved from monitoring a household's electricity consumption. This thesis contributes to the process of extracting information and knowledge from monitored electricity consumption in private households using machine learning. An overview of data sources and general approaches is provided. Based on this research, the Machine Learning Demand Response Model (MLDR) is introduced, defining the relation between data, knowledge, and actions. This model enhances the understanding of the individual steps required to transform monitored electricity consumption data into individual recommendations or automated actions. These steps are: data monitoring, appliance identification, appliance usage segmentation, and appliance usage prediction. For each of these steps, this thesis provides an overview of the current research state and introduces new approaches. A new monitoring system for both individual appliances and household mains is introduced. The system was used to collect a scientific dataset called Domestic Energy Demand Dataset of Individual Appliances in Germany (DEDDIAG). It contains measurements of 50 individual appliances located in 15 homes, recorded with a sample rate of 1 Hz over a period of up to 3.5 years. The dataset has been enriched with manual appliance usage annotations as well as demographic data describing the household. The system, as well as the dataset, has been published under an open-source license. Based on this dataset, an appliance category identification algorithm is introduced. The algorithm extracts features using a wavelet transformation and classifies data using the k-Nearest-Neighbor (kNN) classifier. It was evaluated and published as a challenge baseline for DEDDIAG. Next to this approach that relies on low sample rates, a high sample rate algorithm is introduced. The algorithm is based on transforming one voltage-current cycle, known as the voltage-current (V-I) trajectory, into two separate Recurrence Plots (RPs) which are then classified using a Convolutional Neural Network (CNN) in combination with Spacial Pyramid Pooling (SPP). The al-gorithm is evaluated on three different datasets and compared to previously proposed algorithms. Finding the start and stop of an appliance is the basis for deriving usage patterns. This appliance event segmentation has received little attention from other researchers, and the most commonly used algorithm, a lower-bound thresholding approach, has never been evaluated. Using the manual annotations created for DEDDIAG, this approach is evaluated using a newly introduced performance metrics called Jaccard-Time-Span-Event-Score (JTES). Together with this, a new segmentation algorithm using Support Vector Machine (SVM) is presented. Finally, based on the usage events that were determined, a combined statistical model for appliance usage prediction is introduced. It predicts future appliance usage based on the preferred time of day and the elapsed time since it was used last. It is evaluated on the GREEND dataset as well as the DEDDIAG. The thesis concludes with an outlook of potential future work.}, language = {en} } @inproceedings{HambergerMurgulSchmidtetal.2025, author = {Hamberger, Anna and Murgul, Sebastian and Schmidt, Jochen and Heizmann, Michael}, title = {Fretting-Transformer: Encoder-Decoder Model for MIDI to Tablature Transcription}, series = {Proceedings of the 50th International Computer Music Conference 2025}, booktitle = {Proceedings of the 50th International Computer Music Conference 2025}, publisher = {The International Computer Music Association}, pages = {438 -- 445}, year = {2025}, abstract = {Music transcription plays a pivotal role in Music Information Retrieval (MIR), particularly for stringed instruments like the guitar, where symbolic music notations such as MIDI lack crucial playability information. This contribution introduces the Fretting-Transformer, an encoderdecoder model that utilizes a T5 transformer architecture to automate the transcription of MIDI sequences into guitar tablature. By framing the task as a symbolic translation problem, the model addresses key challenges, including string-fret ambiguity and physical playability. The proposed system leverages diverse datasets, including DadaGP, GuitarToday, and Leduc, with novel data pre-processing and tokenization strategies. We have developed metrics for tablature accuracy and playability to quantitatively evaluate the performance. The experimental results demonstrate that the Fretting-Transformer surpasses baseline methods like A* and commercial applications like Guitar Pro. The integration of context-sensitive processing and tuning/capo conditioning further enhances the model's performance, laying a robust foundation for future developments in automated guitar transcription.}, language = {en} } @article{StecherZiegltrumReiprichetal.2025, author = {Stecher, Dominik and Ziegltrum, Lukas and Reiprich, Paul and Fuchs, Christian and Maier, Andreas and Schmidt, Jochen}, title = {Neural network synthetic dataset generation for fault detection in district heating substations}, series = {Smart Energy}, volume = {20}, journal = {Smart Energy}, publisher = {Elsevier}, doi = {10.1016/j.segy.2025.100206}, pages = {100206}, year = {2025}, abstract = {District heating systems (DHS) play a vital role in sustainable heating solutions and the decarbonization of the energy sector. However, inefficiencies due to undetected faults in substations result in high return temperatures, increasing heat losses, and limiting the integration of renewable energy sources. The lack of publicly available labeled datasets poses a significant challenge for fault detection using supervised learning models. To address this issue, this study explores three machine learning-based synthetic data generation techniques - time series forecasting, generative adversarial networks (GANs), and fault signature transfer. These methods aim to increase publicly available data either by sharing the generating model or a synthetic dataset. The novelty lies in the combination of advanced supervised machine learning methods being applied to a large, fully labeled data set to create new, equally labeled data for publication, as, to our knowledge, no such dataset has been compiled before. We evaluate our methods on the first-of-its-kind ILSE dataset, which includes real-world smart meter data from 547 substations and 1,162 reviewed faults from a German DHS network, including detailed root cause information. Overall, time series forecasting achieves an MAPE of 3\% to 10\% for inlet and outlet temperature and 25\% to 40\% for heat load and flow rate, both of which are within year-to-year variance. For GANs, specifically TimeGAN, we found a discriminative score of about 0.10 compared to 0.24 in the original publication when tested on Energy benchmark data. Fault signature transfer has yet to yield usable results, most likely due to the high variance in the fault signatures, fault duration, and overlapping or multiple root causes. Finally, fault data in the synthetic data is not yet good enough for practical use, e.g. training a fault detector.}, language = {en} }