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Unter dem gemeinsamen Dach „Wissensgemeinschaften“ werden nun zwei Tagungen mit sich gegenseitig ergänzenden thematischen Schwerpunkten zusammengebracht, die Lern- und Wissensprozesse im Spannungsfeld zwischen Organisation, Technologie und (Unternehmens-)Kultur verhandeln. Während die Konferenz „Gemeinschaften in neuen Medien (GeNeMe)“ organisationale und technische Perspektiven im Kontext von Virtual Enterprises, Communities & Social Networks thematisiert, liefert die zweijährlich stattfindende Konferenz „Professionelles Wissensmanagement (ProWM)“ der Fachgruppe Wissensmanagement in der Gesellschaft für Informatik (fgwm) einen breiten integrativen Überblick über die organisatorischen, kulturellen, sozialen und technischen Aspekte des Wissensmanagements.:1 Vorwort: Wissensgemeinschaften in Wirtschaft und Wissenschaft XII 2 Preface: Knowledge Communities in Busuness and Schience XVII Keynotes – eingeladene Vorträge 1 Knowledge Management – Advancements and Future Research Needs – Results from the Global Knowledge Research Network study 1 2 Leeds University Business School, Leeds, UK, 2 Beginnt die neue Arbeitswelt mit einer Abwesenheitsnotiz? 13 Hochschuldidaktik 2.0 1 Vernetztes Lernen an der Hochschule? Ergebnisse und Erfahrungen eines cMOOS 17 2 Smart communities in virtual reality. A comparison of design approaches for academic education 25 3 Flipped Classroom in der Hochschullehre der TU Dresden – Ein Work in Progress-Bericht 39 4 Konzepte für den Einsatz von E-Tutoren in komplexen E-Learning-Szenarien – Ein Erfahrungsbericht 45 Wissensmanagement I 1 Barrieren im interorganisationalen Wissensaustausch auf individueller Ebene – Ordnungsrahmen und Analysemethoden 55 2 GIS-based sales support by company knowledge reuse in the telecommunications sector 67 3 Praktische Entwicklung einer wissensorientierten Unternehmenskultur. Entwurf einer Zertifizierungsmethode 75 4 Supporting Knowledge Management Instruments with Composable Micro-Services 81 Communities 1 MeetingMirror – Unterstützung von Wissenschaftler-Communities auf Konferenzen 91 2 The SIFA community as a virtual learning space in OSH 101 3 Reflexion, Begleitung, Austausch – Die Online-Plattform StudentBodies-AN zur Prävention von Magersucht 107 Technologien, Methoden, Systeme 1 Gamification in der Hochschullehre. Herleitung von Handlungsempfehlungen für den Einsatz von Gamedesign-Elementen in der sächsischen Lernplattform OPAL 115 2 Gebrauchstauglichkeit und Nützlichkeit. Usability und wahrgenommener Nutzen digitaler Lernangebote S. 125 3 Barrierefreiheit im MOOC 135 4 Strukturierte Wikis – Konzept und Anwendungsbeispiel 141 Feedback, Austausch, Ideenfindung 1 Idea-Space: A Use Case of Collaborative Course Development in Higher Education 149 2 Onlinegestützte Audience Response Systeme: Förderung der kognitiven Aktivierung in Vorlesungen und Eröffnung neuer Evaluationsperspektiven 157 3 Mobiles Feedback – Praxisbericht zur Integration eines Audience Response Systems in eine Lehrveranstaltung als Instrument der Lehrevaluation 67 4 Jazz in der Stadt und Rock auf der Autobahn - von der kollaborativen zur kollaborativ-kontextorientierten Musikempfehlung 173 Education 1 Wissens- und Nachhaltigkeitsmanagement durch Kooperationen in Weiterbildungsprojekten 185 2 Lernen aus Erfahrung – vom agilen zum verteilten Präsenzteam 193 3 Development of an E-Learning instructional model for vocational training in Indonesia 203 4 A Survey of Teachers’ Media Literacy in Chinese Vocational Schools 209 Prozess 1 Welche Use Cases eignen sich für die Umsetzung in einem Enterprise Social Network? Eine Fallstudie bei der N-ERGIE Aktiengesellschaft 225 2 Kontextbezogene, workflowbasierte Assessmentverfahren auf der Grundlage semantischer Wissensbasen 237 3 Collaborative Knowledge Acquisition and Explorationin Technology Search 243 Wissensmanagement II 1 Assessing Informal Social Learning at the Workplace – A Revalidation Case from Healthcare 251 2 Wie Barrieren im Wissenstransfer überwunden werden können – Ergebnisse einer Studie zur Grundhaltung des Misstrauens oder Vertrauens 267 3 Integration von Topic Models und Netzwerkanalyse bei der Bestimmung des Kundenwertes 277 4 Wissensmanagement im Kontext öffentlich-rechtlicher Rahmenbedingungen: Praktische Erfahrungen aus einem Wasserverband 285 Adress- und Autorenverzeichnis 293

1 EINLEITUNG Der Einsatz von Enterprise 2.0-Lösungen steht noch am Anfang. So nutzen nur ca. 20 % der Unternehmen in den USA und Europa Social Software-Werkzeuge wie Blogs, Wikis oder Foren [7]. Nach [3] geht es bei Enterprise 2.0 darum, die Ideen und Konzepte des Web 2.0 und von Social Software zu verstehen und auf die Zusammenarbeit in Unternehmen zu übertragen. Viele Unternehmen haben Schwierigkeiten bei der Integration solcher Lösungen, wodurch die Zugänglichkeit und Handhabbarkeit der Informationen im Unternehmen leidet. In einem konkreten Anwendungsfall sollen Lösungen gefunden werden, um das Gewahrsein der Informationen bestehender Social Software-Systeme und die Zusammenarbeit in Entwicklungsabteilungen zu verbessern.

Die zunehmende Nutzung [1] persönlicher mobiler Geräte durch immer mehr Fahrgäste des öffentlichen Personenverkehrs (ÖPV) begünstigt die Entwicklung neuer Applikationen, die den allgegenwärtigen Zugriff auf domänenspezifische Inhalte und Echtzeitdaten über variable Schnittstellen und Informationskanäle realisieren. Near Field Communication (NFC) gilt in diesem Zusammenhang als eine vielversprechende Technologie, die neben kontaktloser Datenübertragung auch Bezahlvorgänge direkt über das mobile Endgerät ermöglicht. Mit Blick auf die unterschiedlichen Einsatzmöglichkeiten von NFC in der mobilen Reisebegleitung wird in diesem Beitrag eine ikonografische Klassifikation für die visualisierte Analyse von Anwendungsszenarien vorgestellt, welche zur Planung ubiquitärer Applikationen im ÖPV eingesetzt werden kann.

Indiana University-Purdue University Indianapolis (IUPUI) / In today's internet world with such a high traffic, it becomes inevitable to have multiple servers representing a single logical server to share enormous load. A very common network configuration consists of multiple servers behind a load balancer. The load balancer determines which server would service a clients request or incoming load from the client. Such a hardware is expensive, runs a fixed policy or algorithm and is a single point of failure. In this paper, we will implement and analyze an alternative load balancing architecture using OpenFlow. This architecture acquires flexibility in policy, costs less and has the potential to be more robust. This paper also discusses potential usage of OpenFlow based load balancing for media gateway selection in SIP-PSTN networks to improve VoIP performance.

Indiana University-Purdue University Indianapolis (IUPUI) / With the advances in embedded technology and the omnipresence of smartphones, tracking systems do not need to be confined to a specific tracking environment. By introducing mobile devices into a tracking system, we can leverage their mobility and the availability of multiple sensors such as camera, Wi-Fi, Bluetooth and Inertial sensors. This thesis proposes to improve the existing tracking systems, enhanced Distributed Tracking System (e-DTS 2.0) [19] and enhanced Distributed Object Tracking System (eDOTS)[26], in the form of e-DTS 3.0 and provides an empirical analysis of these improvements. The enhancements proposed are to introduce Android-based mobile devices into the tracking system, to use multiple sensors on the mobile devices such as the camera, the Wi-Fi and Bluetooth sensors and inertial sensors and to utilize possible resources that may be available in the environment to make the tracking opportunistic. This thesis empirically validates the proposed enhancements through the experiments carried out on a prototype of e-DTS 3.0.

Indiana University-Purdue University Indianapolis (IUPUI) / Heating, ventilation, and air conditioning (HVAC) is the technology responsible to maintain temperature levels and air quality in buildings to certain standards. In a commercial setting, HVAC systems accounted for more than 50% of the total energy cost of the building in 2013 [13]. New control methods are always being worked on to improve the effectiveness and efficiency of the system. These control systems include model predictive control (MPC), evolutionary algorithm (EA), evolutionary programming (EP), and proportional-integral-derivative (PID) controllers. Such control tools are used on new HVAC system to ensure the ultimate efficiency and ensure the comfort of occupants. However, there is a need for a system that can monitor the energy performance of the HVAC system and ensure that it is operating in its optimal operation and controlled as expected. In this thesis, an air handling unit (AHU) of an HVAC system was modeled to analyze its performance using real data collected from an operating AHU using a wireless monitoring system. The purpose was to monitor the AHU's performance, analyze its key parameters to identify flaws, and evaluate the energy waste. This system will provide the maintenance personnel to key information to them to act for increasing energy efficiency. The mechanical model was experimentally validated first. Them a baseline operating condition was established. Finally, the system under extreme weather conditions was evaluated. The AHU's subsystem performance, the energy consumption and the potential wastes were monitored and quantified. The developed system was able to constantly monitor the system and report to the maintenance personnel the information they need. I can be used to identify energy savings opportunities due to controls malfunction. Implementation of this system will provide the system's key performance indicators, offer feedback for adjustment of control strategies, and identify the potential savings. To further verify the capabilities of the model, a case study was performed on an air handling unit on campus for a three month monitoring period. According to the mechanical model, a total of 63,455 kWh can be potentially saved on the unit by adjusting controls. In addition the mechanical model was able to identify other energy savings opportunities due to set point changes that may result in a total of 77,141 kWh.

Indiana University-Purdue University Indianapolis (IUPUI) / The Pedestrian Automatic Emergency Braking System (PAEB) can utilize on-board sensors to detect pedestrians and take safety related actions. However, PAEB system only benefits the individual vehicle and the pedestrians detected by its PAEB. Additionally, due to the range limitations of PAEB sensors and speed limitations of sensory data processing, PAEB system often cannot detect or do not have sufficient time to respond to a potential crash with pedestrians. For further improving pedestrian safety, we proposed the idea for integrating the complimentary capabilities of V2V and PAEB (V2V-PAEB), which allows the vehicles to share the information of pedestrians detected by PAEB system in the V2V network. So a V2V-PAEB enabled vehicle uses not only its on-board sensors of the PAEB system, but also the received V2V messages from other vehicles to detect potential collisions with pedestrians and make better safety related decisions. In this thesis, we discussed the architecture and the information processing stages of the V2V-PAEB system. In addition, a comprehensive Matlab/Simulink based simulation model of the V2V-PAEB system is also developed in PreScan simulation environment. The simulation result shows that this simulation model works properly and the V2V-PAEB system can improve pedestrian safety significantly.

Indiana University-Purdue University Indianapolis (IUPUI) / In general, profiling sensors are low-cost crude imagers that typically utilize a sparse detector array, whereas traditional cameras employ a dense focal-plane array. Profiling sensors are of particular interest in applications that require classification of a sensed object into broad categories, such as human, animal, or vehicle. However, profiling sensors have many other applications in which reliable classification of a crude silhouette or profile produced by the sensor is of value. The notion of a profiling sensor was first realized by a Near-Infrared (N-IR), retro-reflective prototype consisting of a vertical column of sparse detectors. Alternative arrangements of detectors have been implemented in which a subset of the detectors have been offset from the vertical column and placed at arbitrary locations along the anticipated path of the objects of interest. All prior work with the N-IR, retro-reflective profiling sensors has consisted of wired detectors. This thesis surveys prior work and advances this work with a wireless profiling sensor prototype in which each detector is a wireless sensor node and the aggregation of these nodes comprises a profiling sensor’s field of view. In this novel approach, a base station pre-processes the data collected from the sensor nodes, including data realignment, prior to its classification through a back-propagation neural network. Such a wireless detector configuration advances deployment options for N-IR, retro-reflective profiling sensors.

Indiana University-Purdue University Indianapolis (IUPUI) / Non-invasive surface recording of bioelectric potentials continues to be an essential tool in a variety of research and medical diagnostic procedures. However, the integrity of these recordings, and hence the reliability of subsequent analysis, diagnosis, or recommendations based on the recordings, can be significantly compromised when various types of noise are allowed to penetrate the recording circuit and contaminate the signals. In particular, for bioelectric phenomena in which the amplitude of the biosignal is relatively low, such as muscle activity (typically on the order of millivolts) or neural traffic (microvolts), external noise may substantially contaminate or even completely overwhelm the signal. In such circumstances, the tissue-electrode interface is typically the primary point of signal contamination since its impedance is relatively high compared to the rest of the recording circuit. Therefore, in the recording of low-amplitude biological signals, it is of paramount importance to minimize the impedance of the tissue-electrode interface in order to consistently obtain low-noise recordings. The aims of the current work were (1) to complete the development of a set of tools for rapid, simple, and reliable full-spectrum characterization and analytical modeling of the complex impedance of the tissue-electrode interface, and (2) to characterize the interfacial impedance and signal-to-noise ratio (SNR) at the surface of the skin across a variety of preparation methods and determine a factor or set of factors that contribute most effectively to the reduction of tissue-electrode impedance and noise contamination during recording. Specifically, we desired to test an initial hypothesis that surface abrasion is the principal determining factor in skin preparation to achieve consistently low-impedance, low-noise recordings. During the course of this master’s study, (1) a system with portable, battery-powered hardware and robust acquisition/analysis software for broadband impedance characterization has been achieved, and (2) the effects of skin preparation methods on the impedance of the tissue-electrode interface and the SNR of surface electromyographic recordings have been systematically quantified and compared in human subjects. We found our hypothesis to be strongly supported by the results: the degree of surface abrasion was the only factor that could be correlated to significant differences in either the interfacial impedance or the SNR. Given these findings, we believe that abrasion holds the key to consistently obtaining a low-impedance contact interface and high-quality recordings and should thus be considered an essential component of proper skin preparation prior to attachment of electrodes for recording of small bioelectric surface potentials.