@phdthesis{Bruns2010,
  author    = {Bruns, Erich},
  title     = {Adaptive Image Classification on Mobile Phones},
  doi       = {10.25643/bauhaus-universitaet.1421},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20100707-15092},
  school      = {Bauhaus-Universit{\"a}t Weimar},
  year      = {2010},
  abstract  = {The advent of high-performance mobile phones has opened up the opportunity to develop new context-aware applications for everyday life. In particular, applications for context-aware information retrieval in conjunction with image-based object recognition have become a focal area of recent research. In this thesis we introduce an adaptive mobile museum guidance system that allows visitors in a museum to identify exhibits by taking a picture with their mobile phone. Besides approaches to object recognition, we present different adaptation techniques that improve classification performance. After providing a comprehensive background of context-aware mobile information systems in general, we present an on-device object recognition algorithm and show how its classification performance can be improved by capturing multiple images of a single exhibit. To accomplish this, we combine the classification results of the individual pictures and consider the perspective relations among the retrieved database images. In order to identify multiple exhibits in pictures we present an approach that uses the spatial relationships among the objects in images. They make it possible to infer and validate the locations of undetected objects relative to the detected ones and additionally improve classification performance. To cope with environmental influences, we introduce an adaptation technique that establishes ad-hoc wireless networks among the visitors' mobile devices to exchange classification data. This ensures constant classification rates under varying illumination levels and changing object placement. Finally, in addition to localization using RF-technology, we present an adaptation technique that uses user-generated spatio-temporal pathway data for person movement prediction. Based on the history of previously visited exhibits, the algorithm determines possible future locations and incorporates these predictions into the object classification process. This increases classification performance and offers benefits comparable to traditional localization approaches but without the need for additional hardware. Through multiple field studies and laboratory experiments we demonstrate the benefits of each approach and show how they influence the overall classification rate.},
  subject      = {Kontextbezogenes System},
  language  = {en}
}
@techreport{BrunsBimber2007,
  author    = {Bruns, Erich and Bimber, Oliver},
  title     = {Adaptive Training of Video Sets for Image Recognition on Mobile Phones},
  doi       = {10.25643/bauhaus-universitaet.822},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20111215-8223},
  year      = {2007},
  abstract  = {We present an enhancement towards adaptive video training for PhoneGuide, a digital museum guidance system for ordinary camera-equipped mobile phones. It enables museum visitors to identify exhibits by capturing photos of them. In this article, a combined solution of object recognition and pervasive tracking is extended to a client-server-system for improving data acquisition and for supporting scale-invariant object recognition.},
  subject      = {Objektverfolgung},
  language  = {en}
}
@article{HarirchianLahmerKumarietal.,
  author    = {Harirchian, Ehsan and Lahmer, Tom and Kumari, Vandana and Jadhav, Kirti},
  title     = {Application of Support Vector Machine Modeling for the Rapid Seismic Hazard Safety Evaluation of Existing Buildings},
  series = {Energies},
  volume    = {2020},
  journal   = {Energies},
  number    = {volume 13, issue 13, 3340},
  publisher = {MDPI},
  address   = {Basel},
  doi       = {10.3390/en13133340},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20200707-41915},
  pages     = {15},
  abstract  = {The economic losses from earthquakes tend to hit the national economy considerably; therefore, models that are capable of estimating the vulnerability and losses of future earthquakes are highly consequential for emergency planners with the purpose of risk mitigation. This demands a mass prioritization filtering of structures to identify vulnerable buildings for retrofitting purposes. The application of advanced structural analysis on each building to study the earthquake response is impractical due to complex calculations, long computational time, and exorbitant cost. This exhibits the need for a fast, reliable, and rapid method, commonly known as Rapid Visual Screening (RVS). The method serves as a preliminary screening platform, using an optimum number of seismic parameters of the structure and predefined output damage states. In this study, the efficacy of the Machine Learning (ML) application in damage prediction through a Support Vector Machine (SVM) model as the damage classification technique has been investigated. The developed model was trained and examined based on damage data from the 1999 D{\"u}zce Earthquake in Turkey, where the building's data consists of 22 performance modifiers that have been implemented with supervised machine learning.},
  subject      = {Erdbeben},
  language  = {en}
}
@phdthesis{Hauschild2003,
  author    = {Hauschild, Thomas},
  title     = {Computer Supported Cooperative Work-Applikationen in der Bauwerksplanung auf Basis einer integrierten Bauwerksmodellverwaltung},
  doi       = {10.25643/bauhaus-universitaet.64},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20040311-672},
  school      = {Bauhaus-Universit{\"a}t Weimar},
  year      = {2003},
  abstract  = {Gegenstand der vorliegenden Arbeit ist die Konzeption und prototypische Umsetzung von Techniken des Computer Supported Cooperative Work (CSCW) im Rahmen einer integrierten objektorientierten und dynamischen Bauwerksmodellverwaltung zur Unterst{\"u}tzung der Bauwerksplanung. Die Planung von Bauwerken ist durch einen hohen Grad an Arbeitsteiligkeit, aber auch durch eine schwache Strukturierung der ablaufenden Prozesse gekennzeichnet. Besonders durch den Unikatcharakter des Planungsgegenstands \'Bauwerk\' ergeben sich signifikante Unterschiede zum Entwurf anderer, durch Serienfertigung produzierter Industrieg{\"u}ter. Zunehmend wird die Planung von Bauwerken in Virtual Enterprises ausgef{\"u}hrt, die sich durch eine dynamische Organisationsstruktur, geographische Verteilung der Partner, schwer normierbare Informationsfl{\"u}sse und eine h{\"a}ufig stark heterogene informationstechnische Infrastruktur auszeichnen. Zur rechnerinternen Repr{\"a}sent! ation des Planungsgegenstands haben sich objektorientierte Bauwerksmodelle bew{\"a}hrt. Aufgrund der Ver{\"a}nderlichkeit der Bauwerke und deren rechnerinterner Repr{\"a}sentation im Laufe des Bauwerkslebenszyklus ist eine dynamische Anpassung der Modelle unumg{\"a}nglich. Derartige in Form von Taxonomien dargestellte dynamische Bauwerksmodellstrukturen k{\"o}nnen gemeinsam mit den in Instanzform vorliegenden konkreten Projektinformationen in entsprechenden Modellverwaltungssystemen (MVS) gehandhabt werden. Dabei wird aufgrund der Spezialisierung und Arbeitsteilung im Planungsprozess von einer inhaltlich verkn{\"u}pften Partialmodellstruktur, die r{\"a}umlich verteilt sein kann, ausgegangen. Die vorgeschlagenen Methoden zur Koordinierung der Teamarbeit in der Bauwerksplanung beruhen auf der Nutzung von CSCW-Techniken f{\"u}r \'Gemeinsame Informationsr{\"a}ume\' und \'Workgroup Computing\', die im Kontext der als Integrationsbasis fungierenden Modellverwaltungssysteme umgesetzt werden. Dazu werden die zur d! ynamischen Bauwerksmodellierung erforderlichen Metaebenenfunk! tionalit{\"a}ten sowie Ans{\"a}tze zur Implementierung von Modellverwaltungskernen systematisiert. Ebenso werden notwendige Basistechniken f{\"u}r die Realisierung von MVS untersucht und eine Architektur zur rollenspezifischen Pr{\"a}sentation dynamischer Modellinhalte vorgestellt. Da klassische Schichtenmodelle nicht auf die Verh{\"a}ltnisse in Virtual Enterprises angewendet werden k{\"o}nnen, wird eine physische Systemarchitektur mit einem zentralen Projektserver, Dom{\"a}nenservern und Dom{\"a}nenclients vorgestellt. Ebenso werden Techniken zur Sicherung des autorisierten Zugriffs sowie des Dokumentencharakters beschrieben. Zur Unterst{\"u}tzung der asynchronen Phasen der Kooperation wird der gemeinsame Informationsraum durch Mappingtechniken zur Propagation und Notifikation von {\"A}nderungsdaten bez{\"u}glich relevanter Modellinformationen erg{\"a}nzt. Zur Unterst{\"u}tzung synchroner Phasen werden Techniken zur Schaffung eines gemeinsamen Kontexts durch relaxierte WYSIWIS-Pr{\"a}sentationen auf Basis der Modellinformationen! verbunden mit Telepresence-Techniken vorgestellt. Weiterhin werden Methoden zur Sicherung der Group-Awareness f{\"u}r alle Kooperationsphasen betrachtet.},
  subject      = {Computer Supported Cooperative Work},
  language  = {de}
}
@article{Schweppenhaeuser1997,
  author    = {Schweppenh{\"a}user, Gerhard},
  title     = {Der Sklavenaufstand der instrumentellen Vernunft : philosophische {\"U}berlegungen zur k{\"u}nstlichen Intelligenz},
  doi       = {10.25643/bauhaus-universitaet.1155},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20111215-11559},
  year      = {1997},
  abstract  = {Wissenschaftliches Kolloquium vom 27. bis 30. Juni 1996 in Weimar an der Bauhaus-Universit{\"a}t zum Thema: ‚Techno-Fiction. Zur Kritik der technologischen Utopien'},
  subject      = {K{\"u}nstliche Intelligenz},
  language  = {de}
}
@phdthesis{Bunte,
  author    = {Bunte, Andreas},
  title     = {Entwicklung einer ontologiebasierten Beschreibung zur Erh{\"o}hung des Automatisierungsgrades in der Produktion},
  doi       = {10.25643/bauhaus-universitaet.4315},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20201215-43156},
  school      = {Bauhaus-Universit{\"a}t Weimar},
  pages     = {189},
  abstract  = {Die zu beobachtenden k{\"u}rzeren Produktlebenszyklen und eine schnellere Marktdurchdringung von Produkttechnologien erfordern adaptive und leistungsf{\"a}hige Produktionsanlagen. Die Adaptivit{\"a}t erm{\"o}glicht eine Anpassung der Produktionsanlage an neue Produkte, und die Leistungsf{\"a}higkeit der Anlage stellt sicher, dass ausreichend Produkte in kurzer Zeit und zu geringen Kosten hergestellt werden k{\"o}nnen. Durch eine Modularisierung der Produktionsanlage kann die Adaptivit{\"a}t erreicht werden. Jedoch erfordert heutzutage jede Adaption manuellen Aufwand, z.B. zur Anpassung von propriet{\"a}ren Signalen oder zur Anpassung {\"u}bergeordneter Funktionen. Dadurch sinkt die Leistungsf{\"a}higkeit der Anlage. Das Ziel dieser Arbeit ist es, die Interoperabilit{\"a}t in Bezug auf die Informationsverwendung in modularen Produktionsanlagen zu gew{\"a}hrleisten. Dazu werden Informationen durch semantische Modelle beschrieben. Damit wird ein einheitlicher Informationszugriff erm{\"o}glicht, und {\"u}bergeordnete Funktionen erhalten Zugriff auf alle Informationen der Produktionsmodule, unabh{\"a}ngig von dem Typ, dem Hersteller und dem Alter des Moduls. Dadurch entf{\"a}llt der manuelle Aufwand bei Anpassungen des modularen Produktionssystems, wodurch die Leistungsf{\"a}higkeit der Anlage gesteigert und Stillstandszeiten reduziert werden. Nach dem Ermitteln der Anforderungen an einen Modellierungsformalismus wurden potentielle Formalismen mit den Anforderungen abgeglichen. OWL DL stellte sich als geeigneter Formalismus heraus und wurde f{\"u}r die Erstellung des semantischen Modells in dieser Arbeit verwendet. Es wurde exemplarisch ein semantisches Modell f{\"u}r die drei Anwendungsf{\"a}lle Interaktion, Orchestrierung und Diagnose erstellt. Durch einen Vergleich der Modellierungselemente von unterschiedlichen Anwendungsf{\"a}llen wurde die Allgemeing{\"u}ltigkeit des Modells bewertet. Dabei wurde gezeigt, dass die Erreichung eines allgemeinen Modells f{\"u}r technische Anwendungsf{\"a}lle m{\"o}glich ist und lediglich einige Hundert Begriffe ben{\"o}tigt. Zur Evaluierung der erstellten Modelle wurde ein wandlungsf{\"a}higes Produktionssystem der SmartFactoryOWL verwendet, an dem die Anwendungsf{\"a}lle umgesetzt wurden. Dazu wurde eine Laufzeitumgebung erstellt, die die semantischen Modelle der einzelnen Module zu einem Gesamtmodell vereint, Daten aus der Anlage in das Modell {\"u}bertr{\"a}gt und eine Schnittstelle f{\"u}r die Services bereitstellt. Die Services realisieren {\"u}bergeordnete Funktionen und verwenden die Informationen des semantischen Modells. In allen drei Anwendungsf{\"a}llen wurden die semantischen Modelle korrekt zusammengef{\"u}gt und mit den darin enthaltenen Informationen konnte die Aufgabe des jeweiligen Anwendungsfalles ohne zus{\"a}tzlichen manuellen Aufwand gel{\"o}st werden.},
  subject      = {Ontologie},
  language  = {de}
}
@article{BandJanizadehSahaetal.,
  author    = {Band, Shahab S. and Janizadeh, Saeid and Saha, Sunil and Mukherjee, Kaustuv and Khosrobeigi Bozchaloei, Saeid and Cerd{\`a}, Artemi and Shokri, Manouchehr and Mosavi, Amir Hosein},
  title     = {Evaluating the Efficiency of Different Regression, Decision Tree, and Bayesian Machine Learning Algorithms in Spatial Piping Erosion Susceptibility Using ALOS/PALSAR Data},
  series = {Land},
  volume    = {2020},
  journal   = {Land},
  number    = {volume 9, issue 10, article 346},
  publisher = {MDPI},
  address   = {Basel},
  doi       = {10.3390/land9100346},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20210122-43424},
  pages     = {1 -- 22},
  abstract  = {Piping erosion is one form of water erosion that leads to significant changes in the landscape and environmental degradation. In the present study, we evaluated piping erosion modeling in the Zarandieh watershed of Markazi province in Iran based on random forest (RF), support vector machine (SVM), and Bayesian generalized linear models (Bayesian GLM) machine learning algorithms. For this goal, due to the importance of various geo-environmental and soil properties in the evolution and creation of piping erosion, 18 variables were considered for modeling the piping erosion susceptibility in the Zarandieh watershed. A total of 152 points of piping erosion were recognized in the study area that were divided into training (70\%) and validation (30\%) for modeling. The area under curve (AUC) was used to assess the effeciency of the RF, SVM, and Bayesian GLM. Piping erosion susceptibility results indicated that all three RF, SVM, and Bayesian GLM models had high efficiency in the testing step, such as the AUC shown with values of 0.9 for RF, 0.88 for SVM, and 0.87 for Bayesian GLM. Altitude, pH, and bulk density were the variables that had the greatest influence on the piping erosion susceptibility in the Zarandieh watershed. This result indicates that geo-environmental and soil chemical variables are accountable for the expansion of piping erosion in the Zarandieh watershed.},
  subject      = {Maschinelles Lernen},
  language  = {en}
}
@techreport{BrunsBrombachBimber2007,
  author    = {Bruns, Erich and Brombach, Benjamin and Bimber, Oliver},
  title     = {Mobile Phone Enabled Museum Guidance with Adaptive Classification},
  doi       = {10.25643/bauhaus-universitaet.940},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20111215-9406},
  year      = {2007},
  abstract  = {Although audio guides are widely established in many museums, they suffer from several drawbacks compared to state-of-the-art multimedia technologies: First, they provide only audible information to museum visitors, while other forms of media presentation, such as reading text or video could be beneficial for museum guidance tasks. Second, they are not very intuitive. Reference numbers have to be manually keyed in by the visitor before information about the exhibit is provided. These numbers are either displayed on visible tags that are located near the exhibited objects, or are printed in brochures that have to be carried. Third, offering mobile guidance equipment to visitors leads to acquisition and maintenance costs that have to be covered by the museum. With our project PhoneGuide we aim at solving these problems by enabling the application of conventional camera-equipped mobile phones for museum guidance purposes. The advantages are obvious: First, today's off-the-shelf mobile phones offer a rich pallet of multimedia functionalities ---ranging from audio (over speaker or head-set) and video (graphics, images, movies) to simple tactile feedback (vibration). Second, integrated cameras, improvements in processor performance and more memory space enable supporting advanced computer vision algorithms. Instead of keying in reference numbers, objects can be recognized automatically by taking non-persistent photographs of them. This is more intuitive and saves museum curators from distributing and maintaining a large number of physical (visible or invisible) tags. Together with a few sensor-equipped reference tags only, computer vision based object recognition allows for the classification of single objects; whereas overlapping signal ranges of object-distinct active tags (such as RFID) would prevent the identification of individuals that are grouped closely together. Third, since we assume that museum visitors will be able to use their own devices, the acquisition and maintenance cost for museum-owned devices decreases.},
  subject      = {Objektverfolgung},
  language  = {en}
}
@article{BrunsBimber2008,
  author    = {Bruns, Erich and Bimber, Oliver},
  title     = {Phone-to-Phone Communication for Adaptive Image Classification},
  doi       = {10.25643/bauhaus-universitaet.1296},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20080722-13685},
  year      = {2008},
  abstract  = {In this paper, we present a novel technique for adapting local image classifiers that are applied for object recognition on mobile phones through ad-hoc network communication between the devices. By continuously accumulating and exchanging collected user feedback among devices that are located within signal range, we show that our approach improves the overall classification rate and adapts to dynamic changes quickly. This technique is applied in the context of PhoneGuide - a mobile phone based museum guidance framework that combines pervasive tracking and local object recognition for identifying a large number of objects in uncontrolled museum environments.},
  subject      = {Peer-to-Peer-Netz},
  language  = {en}
}
@techreport{FoecklerZeidlerBimber2005,
  author    = {F{\"o}ckler, Paul and Zeidler, Thomas and Bimber, Oliver},
  title     = {PhoneGuide: Museum Guidance Supported by On-Device Object Recognition on Mobile Phones},
  doi       = {10.25643/bauhaus-universitaet.650},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20111215-6500},
  year      = {2005},
  abstract  = {We present PhoneGuide - an enhanced museum guidance approach that uses camera-equipped mobile phones and on-device object recognition. Our main technical achievement is a simple and light-weight object recognition approach that is realized with single-layer perceptron neuronal networks. In contrast to related systems which perform computational intensive image processing tasks on remote servers, our intention is to carry out all computations directly on the phone. This ensures little or even no network traffic and consequently decreases cost for online times. Our laboratory experiments and field surveys have shown that photographed museum exhibits can be recognized with a probability of over 90\%. We have evaluated different feature sets to optimize the recognition rate and performance. Our experiments revealed that normalized color features are most effective for our method. Choosing such a feature set allows recognizing an object below one second on up-to-date phones. The amount of data that is required for differentiating 50 objects from multiple perspectives is less than 6KBytes.},
  subject      = {Neuronales Netz},
  language  = {en}
}