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Institute
- Fakultät Maschinenbau und Verfahrenstechnik (M+V) (1108)
- Fakultät Medien und Informationswesen (M+I) (bis 21.04.2021) (1103)
- Fakultät Elektrotechnik und Informationstechnik (E+I) (bis 03/2019) (917)
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"Ad fontes!"
Francesco Petrarca (1301–1374)
In the beginning, there was an idea: the reconstruction of the first "Iron Hand" of the Franconian imperial knight Götz von Berlichingen (1480–1562). We found that with this historical prosthesis, simple actions for daily use, such as holding a wine glass, a mobile phone, a bicycle handlebar grip, a horse’s reins, or some grapes, are possible without effort. Controlling this passive artificial hand, however, is based on the help of a healthy second hand.
The growing threat posed by multidrug-resistant (MDR) pathogens, such as Klebsiella pneumoniae (Kp), represents a significant challenge in modern medicine. Traditional antibiotic therapies are often ineffective against these pathogens, leading to high mortality rates. MDR Kp infections pose a novel challenge in military medical contexts, particularly in Medical Biodefense, as they can be deliberately spread, leading to resource-intensive care in military centres. Recognizing this issue, the European Defence Agency initiated a prioritised research project in 2023 (EDF Resilience PHAGE- SGA 2023). To address this challenge, the Bundeswehr Institute of Microbiology (IMB) leads BMBF- (Federal Ministry of Education and Research) and EU-funded projects on the use of bacteriophages as adjuvant therapy alongside antibiotics. Since 2017, the IMB has isolated and characterised Kp phages, collecting over 600 isolates and optimizing their production for therapy, in compliance with the EMA (European Medicine Agency) guidelines. This involves in vitro phage genome packaging to minimize endotoxin load, reduce manufacturing costs, and shorten production times. The goal of this work was to establish MinION sequencing (Oxford Nanopore Technology) as a quick and reliable way for initial identification and characterisation of phage genomes. Especially as a quick screening method for isolated on Kp, prior to more precise but also more expensive and time consuming sequencing methods like Illumina. This characterisation is crucial for developing a personalized pipeline aimed at producing magistral or Good Manufacturing Practice (GMP) quality medicinal phage solutions tailored individually for each patient. DNA extraction methods were compared to identify suitable input DNA for sequencing purposes. Additionally, the quality of this DNA was as- sessed to determine its suitability for in vitro phage packaging, which was successfully done achieving a phage titer of 103, confirming that the DNA used for MinION sequencing could indeed be used for acellular packaging. The created genomes were annotated and compared with Illumina sequencing, revealing high similarity in all five individually tested cases. Between the generated sequences only a 4% maximal percentual difference in genome size was observed, while simultaneously showing high similarity in the actual sequence. Throughout the course of this study, a total of 645.15 GB of sequencing data were generated. In total, 38 phages were successfully characterised, with 21 phage genomes assembled and annotated, and saved in the IMB database.
Entwicklung eines unabhängigen Systems zur Verstellung schiebergesteuerter Werkzeuge im Prozess
(2024)
Die Aufgabenstellung der Arbeit beinhaltete das Ausarbeiten eines unabhängigen Antriebssystems für Werkzeuge mit verstellbaren Schneiden. Hierbei bestand der Antrieb der Werkzeuge bisher aus einem rein mechanischen Anstriebsflansch. Dieser hat durch eine Drehspindel die rotatorische Bewegung der Maschinenspindel zu einer axialen Bewegung der Zugstange umgewandelt. Da die mechanische Drehspindel nicht in jeder Maschinenspindel vorhanden war, konnten die Werkzeuge von LMT Kieninger nur beschränkt eingesetzt werden. Aus diesem Grund sollte ein Antriebssystem entwickelt werden, welches auf jedem Bearbeitungszentrum unabhängig von der Maschinenspindeltechnologie eingesetzt werden konnte.
Für die Entwicklung des unabhängigen Antriebsflansches wurde zunächst eine Marktanalyse durchgeführt. Diese vergleichte bestehende Lösungsansätze auf dem Markt miteinander und untersuchte, welche davon für ein eigenes Lösungskonzept infrage kam. Hierbei wurde insbesondere der Antrieb, der die Bewegung erzeugen sollte, die Übergabe des Steuersignals und die Energieversorgung betrachtet. Ein vielversprechendes Lösungskonzept, das den vorliegenden Anforderungen entsprach, war eine elektrische Antriebsvariante mit einer Akkueinheit und einer Funksteuerung.
Um die elektronischen Komponenten in den bestehenden Antriebsflansch zu integrieren, mussten die Prozessparameter bestimmt werden. Dafür wurde ein Werkzeug als Referenz verwendet, das zum Ausspindeln der Laufflächen von Zylinderbuchsen verwendet wurde. In diesem Werkzeug befanden sich unterschiedliche Bauteile, welche den Mechanismus der Schneidenverschleißkompensation ermöglichten und die Drehbewegung des Antriebsflansches in den Verstellweg der Schneiden umsetzte. Unter Berücksichtigung der Bauteile sowie der vorhandenen Reibung und Verluste ergab sich ein Drehmoment, welches benötigt wurde, um die Schneiden zu verstellen. Nach der rechnerischen Ermittlung des benötigten Drehmoments konnte ein Kompaktantrieb von Maxon vorgeschlagen werden. Dies erfolgte unter Berücksichtigung der Anforderungen an den verfügbaren Bauraum, die Energieversorgung und die Akkueinheit. Dieser Kompaktantrieb bestand aus einem Motor, einem Planetenradgetriebe, einem Hall-Sensor zur Positionsbestimmung sowie einer Steuereinheit.
Die Konstruktion mit den einzelnen Bauteilen konnte nun erstellt werden. Der Konstruktionsprozess wurde durch die schrittweise und aufbauende Integration der Lösungen für die verschiedenen Funktionen des Bauteils systematisch und methodisch umgesetzt. Dabei erfolgte die Umsetzung in einem Modell, wobei jeder Schritt auf den vorherigen Überlegungen und Entscheidungen basierte. Der erste Schritt bestand darin, den Kompaktantrieb, der die Hauptfunktion darstellt, in den Grundkörper mit der HSK-Aufnahme zu integrieren. Anschließend wurden die Nebenfunktionen wie die axiale Lagerung, die Kühlmitteldurchführung und die Anpassung der Flanschgeometrie zur Aufnahme des Werkzeuges implementiert. Im nächsten Schritt wurden die Steuerung und die Akkueinheit als Blackbox positioniert sowie die Kabelkanäle in den Grundkörper konstruiert.
Abschließend wurden für die eigens entwickelten Bauteile technische Zeichnungen erstellt. Auf ihnen wurden alle relevanten technischen Merkmale hinterlegt, die für die Fertigung der Bauteile benötigt wurden. Hierzu gehörten beispielsweise Angaben zum Werkstoff, Toleranzen, Passungen, Oberflächenangaben sowie Form- und Lagetoleranzen. Zudem wurde eine Baugruppenzeichnung erstellt, die die Anordnung der einzelnen Bauteile mit ihrer Stückzahl und Positionsnummer in einer Stückliste klar und deutlich erkennbar machte.
Damit wurde die Neuentwicklung eines unabhängigen Antriebsflansches abgeschlossen und bot einen Einblick in die mögliche Integration eines mechatronischen Antriebs in den Antriebsflansch.
Diese Bachelorarbeit hat sich ausführlich mit der Erstellung von Sicherheitskonzepten und der damit einhergehenden Erstellung einer Risikobeurteilung beschäftigt.
Dabei wurde festgestellt, dass eine besonders große Gefahr des Werkzeugwechselsystems durch die Gefährdung des herabfallenden Werkzeuges entsteht. Zum einen kann dies durch das Aufkommen eines Energie- bzw. Druckverlust entstehen. Dieses Risko wird durch den Einsatz einer bewährten Feder und einer selbsthemmenden Keilverbindung zwischen Verriegelungskolben und -bolzen vermindert.
Zum anderen kann durch Steuerungs- oder Programmierfehler das Werkzeugwechselsystem an nicht vorgesehener Stelle geöffnet werden und sich Fest- und Losteil trennen. Die dadurch entstehende Gefahr eines Herabfallenden Werkzeuges wird von einer steuerungsabhängigen Schutzmaßnahme verhindert, welche über eine genaue Positionsabfrage vor dem gefahrbringenden Szenario schützen sollen.
Hierbei sind verschiedene Konzepte ausgearbeitet worden, welche das von der Risikobeurteilung geforderte erforderliche PLr d erfüllen. Für die Konzepte wurden verschiedene berührungslose Sensoren und Sicherheitsschalter ausgesucht und ein Ventilschaltplan für die Erfüllung der Sicherheitsfunktion erstellt.
Auch andere Gefährdungen werden mithilfe der Anwendung von Normen, den Einsatz von inhärent sicheren Konstruktionen, technische/ergänzende Schutzmaßnahme oder Benutzerinformationen ausreichend vermindert.
Mithilfe einer weiteren Abschlussarbeit werden diese Sicherheitskonzepte und die damit einhergehende Risikobeurteilung überprüft und validiert. Hierfür wird die Norm DIN EN ISO 13849-2 verwendet.
In 2015, Google engineer Alexander Mordvintsev presented DeepDream as technique to visualise the feature analysis capabilities of deep neural networks that have been trained on image classification tasks. For a brief moment, this technique enjoyed some popularity among scientists, artists, and the general public because of its capability to create seemingly hallucinatory synthetic images. But soon after, research moved on to generative models capable of producing more diverse and more realistic synthetic images. At the same time, the means of interaction with these models have shifted away from a direct manipulation of algorithmic properties towards a predominance of high level controls that obscure the model's internal working. In this paper, we present research that returns to DeepDream to assess its suit-ability as method for sound synthesis. We consider this research to be necessary for two reasons: it tackles a perceived lack of research on musical applications of DeepDream, and it addresses DeepDream's potential to combine data driven and algorithmic approaches. Our research includes a study of how the model architecture, choice of audio data-sets, and method of audio processing influence the acoustic characteristics of the synthesised sounds. We also look into the potential application of DeepDream in a live-performance setting. For this reason, the study limits itself to models consisting of small neural networks that process time-domain representations of audio. These models are resource-friendly enough to operate in real time. We hope that the results obtained so far highlight the attractiveness of Deep-Dream for musical approaches that combine algorithmic investigation with curiosity driven and open ended exploration.
This paper describes the authors' first experiments in creating an artificial dancer whose movements are generated through a combination of algorithmic and interactive techniques with machine learning. This approach is inspired by the time honoured practice of puppeteering. In puppeteering, an articulated but inanimate object seemingly comes to live through the combined effects of a human controlling select limbs of a puppet while the rest of the puppet's body moves according to gravity and mechanics. In the approach described here, the puppet is a machine-learning-based artificial character that has been trained on motion capture recordings of a human dancer. A single limb of this character is controlled either manually or algorithmically while the machine-learning system takes over the role of physics in controlling the remainder of the character's body. But rather than imitating physics, the machine-learning system generates body movements that are reminiscent of the particular style and technique of the dancer who was originally recorded for acquiring training data. More specifically, the machine-learning system operates by searching for body movements that are not only similar to the training material but that it also considers compatible with the externally controlled limb. As a result, the character playing the role of a puppet is no longer passively responding to the puppeteer but makes movement decisions on its own. This form of puppeteering establishes a form of dialogue between puppeteer and puppet in which both improvise together, and in which the puppet exhibits some of the creative idiosyncrasies of the original human dancer.
Generative machine learning models for creative purposes play an increasingly prominent role in the field of dance and technology. A particularly popular approach is the use of such models for generating synthetic motions. Such motions can either serve as source of ideation for choreographers or control an artificial dancer that acts as improvisation partner for human dancers. Several examples employ autoencoder-based deep-learning architectures that have been trained on motion capture recordings of human dancers. Synthetic motions are then generated by navigating the autoencoder's latent space. This paper proposes an alternative approach of using an autoencoder for creating synthetic motions. This approach controls the generation of synthetic motions on the level of the motion itself rather than its encoding. Two different methods are presented that follow this principle. Both methods are based on the interactive control of a single joint of an artificial dancer while the other joints remain under the control of the autoencoder. The first method combines the control of the orientation of a joint with iterative autoencoding. The second method combines the control of the target position of a joint with forward kinematics and the application of latent difference vectors. As illustrative example of an artistic application, this latter method is used for an artificial dancer that plays a digital instrument. The paper presents the implementation of these two methods and provides some preliminary results.
Steroid hormones (SHs) are a rising concern due to their high bioactivity, ubiquitous nature, and prolonged existence as a micropollutants in water, they pose a potential risk to both human health and the environment, even at low concentrations. Estrogens, progesterone, and testosterone are the three important types of steroids essential for human development and maintaining multiorgan balance, are focus to this concern. These steroid hormones originate
from various sources, including human and livestock excretions, veterinary medications, agricultural runoff, and pharmaceuticals, contributing to their presence in the environment. According to the recommendation of WHO, the guidance value for estradiol (E2) is 1 ng/L. There are several methods been attempted to remove the SH micropollutant by conventional water and wastewater technologies which are still under research. Among the various methods, electrochemical membrane reactor (EMR) is one of the emerging technologies that can address the challenge of insufficient SHs removal from the aquatic environment by conventional treatment. The degradation of SHs can be significantly influenced by various factors when treated with EMR.
In this project, the removal of SH and the important mechanism for the removal using carbon nanotube CNT-EMR is studied and the efficiency of CNT-EMR in treating the SH micropollutant is identified. By varying different parameters this experiment is carried out with the (PES-CNTs) ultrafiltration membrane. The study is carried out depending upon the SH removal based on the limiting factor such as cell voltage, flux, temperature, concentration, and type of the SH.
In der Marketingstrategie von Event- und Club-Veranstaltern ist eine zielgerichtete Ansprache der Kundschaft unerlässlich, um eine nachhaltige Beziehung zur Zielgruppe aufzubauen und so den geschäftlichen Erfolg zu sichern. Während erhebliche Investitionen in herkömmliche Werbekanäle wie soziale Medien fließen, bleiben diese Plattformen oft ohne Garantie, dass die Werbemittel die relevanten Nutzer erreichen. Die White-Label-App beabsichtigt dieses Problem zu beheben, indem es Veranstaltern ermöglicht wird, eine engagierte Community direkt über die mobile Plattform aufzubauen und mit dieser zielgerichtet zu kommunizieren.
Das Kernziel der Bachelorarbeit ist die prototypische Entwicklung dieser Smartphone-App als individualisierbare und modulare White-Label-Lösung, die präzise auf die Bedürfnisse von Veranstaltern und deren Kunden zugeschnitten ist. Hierbei ist die zentrale Forschungsfrage: Wie kann eine modulare und individualisierbare White-Label-App effizient implementiert werden?
Zur Beantwortung dieser Frage werden auf Basis einer Wettbewerbsanalyse und der gründlichen Bewertung aktueller Best Practices im Bereich der App-Entwicklung verschiedene Aspekte untersucht. Hierzu zählen die Identifikation von möglichen Marktlücken und -chancen, die Eignung verschiedener Technologien und Entwurfsmuster, die Überwindung spezifischer Herausforderungen bei der Implementierung einer White-Label-App und die performante Integration der API.
Um einen praxisorientierten Ansatz zu gewährleisten, werden darüber hinaus verschiedene Kernfunktionalitäten der App beispielhaft implementiert. Dazu gehören Features wie eine Eventübersicht mit Informationen zu Veranstaltungen und ein Ticketingsystem mit Reservierungsmöglichkeiten.
Globale Ereignisse politischen, wirtschaftlichen oder kulturellen Ursprungs führen dazu, dass Unternehmen sich gezwungen sehen zu handeln, um wettbewerbsfähig zu bleiben. In vielen Fällen wird dabei so vorgegangen, dass versteckte Preiserhöhungen vollzogen werden. Auch Unternehmen, die mit ihrem Angebot einen gesellschaftlichen Zusatznutzen erbringen, erhöhen die Preise, da nur so der verfolgte ökologische oder soziale Purpose erhalten werden kann, kommunizieren dies jedoch offen und erhöhen dadurch ihre Kundenloyalität. Dieses Vorgehen ist bislang jedoch überwiegend in den USA zu beobachten. Da das Thema Purpose auch in Deutschland immer höhere Relevanz erfährt, stellt sich die Frage der Übertragbarkeit. Die Forschungsfrage lautet deshalb: Inwiefern beeinflusst die Kommunikation von purpose-getriebenen Preissteigerungen das Markenimage von B2C-Unternehmen in Deutschland? Um der Forschungsfrage nachzugehen, wurde ein empirischer Forschungsansatz gewählt, der in Form einer quantitativen Studie umgesetzt wurde, die die Meinung der Studierendenschaft der Gen Z und Y der Hochschule Offenburg abbildet. Die Ergebnisse der Umfrage zeigten, dass die Glaubwürdigkeit und Akzeptanz von purpose-getriebenen Preiserhöhungen vom gegenwärtigen Markenimage bzw. dem übergeordneten Image einer Branche abhängen. Purpose wird eine hohe Bedeutung zugesprochen, die sich jedoch aufgrund der Preissensibilität der Zielgruppe nicht immer in der Markenwahl widerspiegelt. Dies verdeutlicht, dass Purpose das Potenzial besitzt, das Markenimage nachhaltig zu beeinflussen und zu prägen und die Zielgruppe der Gen Z und Y zukünftig an sich zu binden. Ferner wurde deutlich, dass bei der Umsetzung von Purpose bestimmte Kriterien verfolgt werden sollten, die bei der Kommunikation zu berücksichtigen sind, um eine authentische Wirkung zu erzielen.
Batteries typically consist of multiple individual cells connected in series. Here we demonstrate single-cell state of charge (SOC) and state of health (SOH) diagnosis in a 24 V class lithium-ion battery. To this goal, we introduce and apply a novel, highly efficient algorithm based on a voltage-controlled model (VCM). The battery, consisting of eight single cells, is cycled over a duration of five months under a simple cycling protocol between 20 % and 100 % SOC. The cell-to-cell standard deviations obtained with the novel algorithm were 1.25 SOC-% and 1.07 SOH-% at beginning of cycling. A cell-averaged capacity loss of 9.9 % after five months cycling was observed. While the accuracy of single-cell SOC estimation was limited (probably owed to the flat voltage characteristics of the lithium iron phosphate, LFP, chemistry investigated here), single-cell SOH estimation showed a high accuracy (2.09 SOH-% mean absolute error compared to laboratory reference tests). Because the algorithm does not require observers, filters, or neural networks, it is computationally very efficient (three seconds analysis time for the complete data set consisting of eight cells with approx. 780.000 measurement points per cell).
This thesis focuses on the development and implementation of a Datagram Transport Layer Security (DTLS) communication framework within the ns-3 network simulator, specifically targeting the LoRaWAN model network. The primary aim is to analyse the behaviour and performance of DTLS protocols across different network conditions within a LoRaWAN context. The key aspects of this work include the following.
Utilization of ns-3: This thesis leverages ns-3’s capabilities as a powerful discrete event network simulator. This platform enables the emulation of diverse network environments, characterized by varying levels of latency, packet loss, and bandwidth constraints.
Emulation of Network Challenges: The framework specifically addresses unique challenges posed by certain network configurations, such as duty cycle limitations. These constraints, which limit the time allocated for data transmission by each device, are crucial in understanding the real-world performance of DTLS protocols.
Testing in Multi-client-server Scenarios: A significant feature of this framework is its ability to test DTLS performance in complex scenarios involving multiple clients and servers. This is vital for assessing the behaviour of a protocol under realistic network conditions.
Realistic Environment Simulation: By simulating challenging network conditions, such as congestion, limited bandwidth, and resource constraints, the framework provides a realistic environment for thorough evaluation. This allows for a comprehensive analysis of DTLS in terms of security, performance, and scalability.
Overall, this thesis contributes to a deeper understanding of DTLS protocols by providing a robust tool for their evaluation under various and challenging network conditions.
Strings P
(2021)
Strings is an audiovisual performance for an acoustic violin and two generative instruments, one for creating synthetic sounds and one for creating synthetic imagery. The three instruments are related to each other conceptually , technically, and aesthetically by sharing the same physical principle, that of a vibrating string. This submission continues the work the authors have previously published at xCoAx 2020. The current submission briefly summarizes the previous publication and then describes the changes that have been made to Strings. The P in the title emphasizes, that most of these changes have been informed by experiences collected during rehearsals (in German Proben). These changes have helped Strings to progress from a predominantly technical framework to a work that is ready for performance.
Durch das Verbundprojekt Gendering MINT digital – Open Science aktiv gestalten wurde ermöglicht, die immer noch marginale Inklusion von Genderwissen in MINT für ein erfolgreiches Gender Mainstreaming zu verbessern. Außerdem konnte das Projekt zur Vernetzung von Genderforschung, Lehre in den Gender Studies und Gleichstellungsarbeit beitragen sowie Transferwissen zur Kompetenzbildung in den MINT-Disziplinen erproben, evaluieren und für einen nachhaltigen Einsatz adaptieren.
Die wachsende Verbreitung von KI-gesteuerten Empfehlungssystemen und personalisiertem Lernen in LXPs wirft grundlegende ethische Fragen für Anwender auf, insbesondere hinsichtlich der Transparenz und Nachvollziehbarkeit dieser Systeme. Diese Bachelorarbeit behandelt die Schnittstelle zwischen KI, Ethik und Bildung, wobei der Schwerpunkt auf der Erklärbarkeit von KI-basierten Systemen liegt. Das Beispiel, das für die Untersuchung herangezogen wird, ist Moodle LXP an der Hochschule Offenburg. Die Motivation dieser Arbeit entspringt der dringenden Notwendigkeit, die Akzeptanz und Vertrauenswürdigkeit von KI-Systemen in Bildungsumgebungen zu fördern, indem Erklärbarkeit als integraler Bestandteil integriert wird.
Im Rahmen des Projekts KompiLe wird Moodle zu einer sogenannten Learning Experience Platform (LXP) ausgebaut, die Studierenden personalisiertes, selbstbestimmtes Lernen ermöglicht. Zentrale Elemente der LXP sind Bewertungen interner und externer Lernressourcen sowie individualisierte, auf KI basierende Lernempfehlungen für Studierende. Diese Empfehlungen beruhen auf der Analyse persönlicher Daten der Studierenden, was eine grundlegende Voraussetzung für das Funktionieren des Systems darstellt. Damit Studierende solchen KI-basierten Lernempfehlungen vertrauen, müssen angemessene Erklärungen die gesamte Prozesskette begleiten. Dies beinhaltet die freiwillige Freigabe persönlicher Daten, die Erstellung von Bewertungen sowie die Präsentation persönlicher Lernempfehlungen.
Das Ziel dieser Bachelorarbeit ist es, eine benutzerfreundliche Integration von Erklärungen für die genannten Prozesse in Moodle LXP zu entwickeln. Dies soll dazu beitragen, die Vertrauenswürdigkeit und Akzeptanz des durch KI unterstützten Lernens zu stärken. Die Arbeit konzentriert sich auf die Konzeption verständlicher Erklärungen für verschiedene Arten von Bewertungen und Lernempfehlungen sowie deren Integration und Darstellung in Moodle LXP. Die entwickelte Benutzeroberfläche zielt darauf ab, Studierende zu entlasten und ihnen hilfreiche sowie thematisch sinnvolle Informationen für die KI-basierten Empfehlungen bereitzustellen. Es wurde ein Konzept für die Erklärbarkeit erstellt und als Mockup umgesetzt. Abschließend wurde die grobe Voransicht des fertigen Designs in ausgewählten Gruppen von Studierenden evaluiert, und die Auswirkungen auf die Vertrauenswürdigkeit und Akzeptanz der Empfehlungen auf die Lernenden wurden untersucht.
In anisotropic media, the existence of leaky surface acoustic waves is a well-known phenomenon. Very recently, their analogs at the apex of an elastic silicon wedge have been found in experiments using laser-ultrasonics. In addition to a wedge-wave (WW) pulse with low speed, a pseudo-wedge wave (p-WW) pulse was found with a velocity higher than the velocity of shear bulk waves, propagating in the same direction. With a probe-beam-deflection technique, the propagation of the WW pulses was monitored on one of the faces of the wedge at variable distance from the apex. In this way, their depth structure and the leakage of the p-WW could be visualized directly. Calculations were carried out using a method based on a representation of the displacement field in Laguerre functions. This method has been validated by calculating the surface density of states in anisotropic media and comparing the results with those obtained from the surface Green's tensor. The approach has then been extended to the continuum of acoustic modes in infinite wedges with fixed wave-vector along the apex. These calculations confirmed the measured speeds of the WW and p-WW pulses.
Strings
(2020)
This article presents the currently ongoing development of an audiovisual performance work with the title Strings. This work provides an improvisation setting for a violinist, two laptop performers, and two generative systems. At the core of Strings lies an approach that establishes a strong correlation among all participants by means of a shared physical principle. The physical principle is that of a vibrating string. The article discusses how this principle is used in both natural and simulated forms as main interaction layer between all performers and as natural or generative principle for creating audio and video.
Implementation and Evaluation of an Assisting Fuzzer Harness Generation Tool for AUTOSAR Code
(2024)
The digitalization in vehicles tends to add more connectivity such as over-the-air (OTA) updates. To achieve this digitization, each ECU (Electronic Control Unit) becomes smarter and needs to support more and more different externally available protocols such as TLS, which increases the attack surface for attackers. To ensure the security of a vehicle, fuzzing has proven to be an effective method to discover memory-related security vulnerabilities. Fuzzing the software run- ning on a ECU is not an easy task and requires a harness written by a human. The author needs a deep understanding of the specific service and protocol, which is time consuming. To reduce the time needed by a harness author, this thesis aims to develop FuzzAUTO, the first assistant harness generation tool targeting the AUTOSAR (AUTomotive Open System ARchitecture) BSW (Basic Software) to support manual harness generation.
Anisotropy has been found to play an important role for the existence of edge-localized acoustic modes as well as for nonlinear effects in rectangular edges. For a certain propagation geometry in silicon, the effective second-order nonlinearity for wedge waves was determined numerically from second-order and third-order elastic moduli and compared with the nonlinearity for Rayleigh waves propagating in the direction of the apex on one of the two surfaces forming the edge. In the presence of weak dispersion resulting from modifications of the wedge tip or coating of the adjacent surfaces, solitary pulses are predicted to exist and their shape was calculated.
Weg- und Winkelsensoren
(2014)
Weg- und Winkelaufnehmer werden überall dort benötigt wo veränderliche Positionen, (Abstände, Längen oder Winkel) erfasst werden müssen, um entweder als reiner Messwert ausgegeben zu werden oder in einem Regelkreis zumeist die Regelgröße als Messwert zur Verfügung zu stellen. Grundsätzlich unterscheidet man zwischen berührenden (tastenden) und berührungslosen Aufnehmern. Zu den berührenden Sensoren zählen dabei alle Aufnehmer, die ein spezielles Messobjekt als Weg- oder Winkelvermittler benötigen, das während der Messung fest mit dem eigentlichen Messobjekt verbunden ist. Diese Bezeichnung gilt auch dann, wenn die eigentliche Messung gegen das vermittelnde Objekt im Endeffekt berührungslos erfolgt. Berührungslose Weg- und Winkelaufnehmer können ohne einen solchen Vermittler direkt gegen das zu vermessende Objekt messen.
The progress in machine learning has led to advanced deep neural networks. These networks are widely used in computer vision tasks and safety-critical applications. The automotive industry, in particular, has experienced a significant transformation with the integration of deep learning techniques and neural networks. This integration contributes to the realization of autonomous driving systems. Object detection is a crucial element in autonomous driving. It contributes to vehicular safety and operational efficiency. This technology allows vehicles to perceive and identify their surroundings. It detects objects like pedestrians, vehicles, road signs, and obstacles. Object detection has evolved from being a conceptual necessity to an integral part of advanced driver assistance systems (ADAS) and the foundation of autonomous driving technologies. These advancements enable vehicles to make real-time decisions based on their understanding of the environment, improving safety and driving experiences. However, the increasing reliance on deep neural networks for object detection and autonomous driving has brought attention to potential vulnerabilities within these systems. Recent research has highlighted the susceptibility of these systems to adversarial attacks. Adversarial attacks are well-designed inputs that exploit weaknesses in the deep learning models underlying object detection. Successful attacks can cause misclassifications and critical errors, posing a significant threat to the functionality and safety of autonomous vehicles. With the rapid development of object detection systems, the vulnerability to adversarial attacks has become a major concern. These attacks manipulate inputs to deceive the target system, significantly compromising the reliability and safety of autonomous vehicles. In this study, we focus on analyzing adversarial attacks on state-of-the-art object detection models. We create adversarial examples to test the models’ robustness. We also check if the attacks work on a different object detection model meant for similar tasks. Additionally, we extensively evaluate recent defense mechanisms to see how effective they are in protecting deep neural networks (DNNs) from adversarial attacks and provide a comprehensive overview of the most commonly used defense strategies against adversarial attacks, highlighting how they can be implemented practically in real-world situations.
In Deutschland wird zur Bewertung von KWK-Anlagen die Stromgutschriftmethode angewendet. Dies ist die Standardmethode dieses Arbeitsblattes und der DIN V 18599-1. Die vorliegende Fassung der FW 309-1 ist wie seine früheren Fassungen als Anwendungs- und Auslegungshilfe zu den geltenden Normen und Gesetzen konzipiert, da diese Dokumente Regelungslücken aufweisen. Das Bilanzierungsprinzip, die meisten Primärenergiefaktoren und die KWK-Bewertungsmethode wurden beibehalten.
Änderung gegenüber der Fassung 2021:
Anhang A, Tabelle A.3: In der Neufassung des Gebäudeenergiegesetzes ab dem 1.1.2023 wird ein neuer Primärenergiefaktor für netzbezogenen Strom von 1,2 für Großwärmepumpen festgelegt. Diese Festlegung wird in dieses Dokument übernommen.
Ultra-low-power passive telemetry systems for industrial and biomedical applications have gained much popularity lately. The reduction of the power consumption and size of the circuits poses critical challenges in ultra-low-power circuit design. Biotelemetry applications like leakage detection in silicone breast implants require low-power-consuming small-size electronics. In this doctoral thesis, the design, simulation, and measurement of a programmable mixed-signal System-on-Chip (SoC) called General Application Passive Sensor Integrated Circuit (GAPSIC) is presented. Owing to the low power consumption, GAPSIC is capable of completely passive operation. Such a batteryless passive system has lower maintenance complexity and is also free from battery-related health hazards. With a die area of 4.92 mm² and a maximum analog power consumption of 592 µW, GAPSIC has one of the best figure-of-merits compared to similar state-of-the-art SoCs. Regarding possible applications, GAPSIC can read out and digitally transmit the signals of resistive sensors for pressure or temperature measurements. Additionally, GAPSIC can measure electrocardiogram (ECG) signals and conductivity.
The design of GAPSIC complies with the International Organization for Standardization (ISO) 15693/NFC (near field communication) 5 standard for radio frequency identification (RFID), corresponding to the frequency range of 13.56 MHz. A passive transponder developed with GAPSIC comprises of an external memory storage and very few other external components, like an antenna and sensors. The passive tag antenna and reader antenna use inductive coupling for communication and energy transfer, which enables passive operation. A passive tag developed with GAPSIC can communicate with an NFC compatible smart device or an ISO 15693 RFID reader. An external memory storage contains the programmable application-specific firmware.
As a mixed-signal SoC, GAPSIC includes both analog and digital circuitries. The analog block of GAPSIC includes a power management unit, an RFID/NFC communication unit, and a sensor readout unit. The digital block includes an integrated 32-bit microcontroller, developed by the Hochschule Offenburg ASIC design center, and digital peripherals. A 16-kilobyte random-access memory and a read-only 16-kilobyte memory constitute the GAPSIC internal memory. For the fabrication of GAPSIC, one poly, six-metal 0.18 µm CMOS process is used.
The design of GAPSIC includes two stages. In the first stage, a standalone RFID/NFC frontend chip with a power management unit, an RFID/NFC communication unit, a clock regenerator unit, and a field detector unit was designed. In the second stage, the rest of the functional blocks were integrated with the blocks of the RFID/NFC frontend chip for the final integration of GAPSIC. To reduce the power consumption, conventional low-power design techniques were applied extensively like multiple power supplies, and the operation of complementary metal-oxide-semiconductor (CMOS) transistors in the sub-threshold region of operation, as well as further innovative circuit designs.
An overvoltage protection circuit, a power rectifier, a bandgap reference circuit, and two low-dropout (LDO) voltage regulators constitute the power management unit of GAPSIC. The overvoltage protection circuit uses a novel method where three stacked transistor pairs shunt the extra voltage. In the power rectifier, four rectifier units are arranged in parallel, which is a unique approach. The four parallel rectifier units provide the optimal choice in terms of voltage drop and the area required.
The communication unit is responsible for RFID/NFC communication and incorporates demodulation and load modulation circuitry. The demodulator circuit comprises of an envelope detector, a high-pass filter, and a comparator. Following a new approach, the bandgap reference circuit itself acts as the load for the envelope detector circuit, which minimizes the circuit complexity and area. For the communication between the reader and the RFID/NFC tag, amplitude-shift keying (ASK) is used to modulate signals, where the smallest modulation index can be as low as 10%. A novel technique involving a comparator with a preset offset voltage effectively demodulates the ASK signal. With an effective die area of 0.7 mm² and power consumption of 107 µW, the standalone RFID/NFC frontend chip has the best figure-of-merits compared to the state-of-the-art frontend chips reported in the relevant literature. A passive RFID/NFC tag developed with the standalone frontend chip, as well as temperature and pressure sensors demonstrate the full passive operational capability of the frontend chip. An NFC reader device using a custom-built Android-based application software reads out the sensor data from the passive tag.
The sensor readout circuit consists of a channel selector with two differential and four single-ended inputs with a programmable-gain instrumentation amplifier. The entire sensor readout part remains deactivated when not in use. The internal memory stores the measured offset voltage of the instrumentation amplifier, where a firmware code removes the offset voltage from the measured sensor signal. A 12-bit successive approximation register (SAR) type analog-to-digital-converter (ADC) based on a charge redistribution architecture converts the measured sensor data to a digital value. The digital peripherals include a serial peripheral interface, four timers, RFID/NFC interfaces, sensor readout unit interfaces, and 12-bit SAR logic.
Two sets of studies with custom-made NFC tag antennas for biomedical applications were conducted to ascertain their compatibility with GAPSIC. The first study involved the link efficiency measurements of NFC tag antennas and an NFC reader antenna with porcine tissue. In a separate experiment, the effect of a ferrite compared to air core on the antenna-coupling factor was investigated. With the ferrite core, the coupling factor increased by four times.
Among the state-of-the-art SoCs published in recent scientific articles, GAPSIC is the only passive programmable SoC with a power management unit, an RFID/NFC communication interface, a sensor readout circuit, a 12-bit SAR ADC, and an integrated 32-bit microcontroller. This doctoral research includes the preliminary study of three passive RFID tags designed with discrete components for biomedical and industrial applications like measurements of temperature, pH, conductivity, and oxygen concentration, along with leakage detection in silicone breast implants. Besides its small size and low power consumption, GAPSIC is suitable for each of the biomedical and industrial applications mentioned above due to the integrated high-performance microcontroller, the robust programmable instrumentation amplifier, and the 12-bit analog-to-digital converter. Furthermore, the simulation and measurement data show that GAPSIC is well suited for the design of a passive tag to monitor arterial blood pressure in patients experiencing Peripheral Artery Disease (PAD), which is proposed in this doctoral thesis as an exemplary application of the developed system.
Privacy is the capacity to keep some things private despite their social repercussions. It relates to a person’s capacity to control the amount, time, and circumstances under which they disclose sensitive personal information, such as a person’s physiology, psychology, or intelligence. In the age of data exploitation, privacy has become even more crucial. Our privacy is now more threatened than it was 20 years ago, outside of science and technology, due to the way data and technology highly used. Both the kinds and amounts of information about us and the methods for tracking and identifying us have grown a lot in recent years. It is a known security concern that human and machine systems face privacy threats. There are various disagreements over privacy and security; every person and group has a unique perspective on how the two are related. Even though 79% of the study’s results showed that legal or compliance issues were more important, 53% of the survey team thought that privacy and security were two separate things. Data security and privacy are interconnected, despite their distinctions. Data security and data privacy are linked with each other; both are necessary for the other to exist. Data may be physically kept anywhere, on our computers or in the cloud, but only humans have authority over it. Machine learning has been used to solve the problem for our easy solution. We are linked to our data. Protect against attackers by protecting data, which also protects privacy. Attackers commonly utilize both mechanical systems and social engineering techniques to enter a target network. The vulnerability of this form of attack rests not only in the technology but also in the human users, making it extremely difficult to fight against. The best option to secure privacy is to combine humans and machines in the form of a Human Firewall and a Machine Firewall. A cryptographic route like Tor is a superior choice for discouraging attackers from trying to access our system and protecting the privacy of our data There is a case study of privacy and security issues in this thesis. The problems and different kinds of attacks on people and machines will then be briefly talked about. We will explain how Human Firewalls and machine learning on the Tor network protect our privacy from attacks such as social engineering and attacks on mechanical systems. As a real-world test, we will use genomic data to try out a privacy attack called the Membership Inference Attack (MIA). We’ll show Machine Firewall as a way to protect ourselves, and then we’ll use Differential Privacy (DP), which has already been done. We applied the method of Lasso and convolutional neural networks (CNN), which are both popular machine learning models, as the target models. Our findings demonstrate a logarithmic link between the desired model accuracy and the privacy budget.
This study investigates the impact of global payroll outsourcing on organizational efficiency and cost reduction based on the analysis of diverse implications stemming from thirty one (31) survey results. The findings reveal multifaceted challenges and benefitsassociated with outsourcing global payroll processing.
The research also unveils the most benefits of global payroll outsourcing. Notably, there's a consensus on the reduction in time-to-process payroll, cost per payroll processed, and improved payroll accuracy rate. Outsourcing streamlines processes, enhances operational efficiency, and contributes to faster, more accurate financial reporting.
Despite these benefits and challenges, statistical analysis reveals weak correlations between outsourcing global payroll and cost reduction or improved efficiency in various parameters, indicating a lack of a significant relationship. Consequently, the results, suggest no substantial correlation between global payroll outsourcing and enhanced efficiency or cost reduction based on this study's data.
Decarbonisation Strategies in Energy Systems Modelling: APV and e-tractors as Flexibility Assets
(2023)
This work presents an analysis of the impact of introducing Agrophotovoltaic technologies and electric tractors into Germany’s energy system. Agrophotovoltaics involves installing photovoltaic systems in agricultural areas, allowing for dual usage of the land for both energy generation and food production. Electric tractors, which are agricultural machinery powered by electric motors, can also function as energy storage units, providing flexibility to the grid. The analysis includes a sensitivity study to understand how the availability of agricultural land influences Agrophotovoltaic investments, followed by the examination of various scenarios that involve converting diesel tractors to electric tractors. These scenarios are based on the current CO2 emission reduction targets set by the German Government, aiming for a 65% reduction below 1990 levels by 2030 and achieving zero emissions by 2045. The results indicate that approximately 3% of available agricultural land is necessary to establish a viable energy mix in Germany. Furthermore, the expansion of electric tractors tends to reduce the overall system costs and enhances the energy-cost-efficiency of Agrophotovoltaic investments.
KI-gestützte Cyberangriffe
(2023)
Die Fortschritte im Bereich der künstlichen Intelligenz (KI) und des Deep Learning haben in den letzten Jahren enorme Fortschritte gemacht. Insbesondere Technologien wie Large Language Models (LLMs) machen KI-Technologie innerhalb kurzer Zeit zugänglich für die Allgemeinheit. Die Generierung von Text, Bild und Sprache durch künstliche Intelligenz erzielt innerhalb kurzer Zeit gute Ergebnisse. Parallel zu dieser Entwicklung hat die Cyberkriminalität in den vergangenen Jahren im Bereich der KI zugenommen. Cyberangriffe verursachen im Zuge der Digitalisierung größeren Schaden und Angriffe entwickeln sich kontinuierlich weiter, um bestehende Schutzmaßnahmen zu umgehen.
Diese Arbeit bietet eine Einführung in das Themengebiet KI-gestützte Cyberangriffe. Sie präsentiert aktuelle KI-gestützte Cyberangriffsmodelle und analysiert, inwiefern diese für Anfänger*innen in der Cyberkriminalität zugänglich sind.
Das Softwareunternehmen HRworks implementiert eine Personalverwaltungssoftware unter Verwendung der Programmiersprache Smalltalk und des Model-View-Controller (MVC) Musters. Innerhalb des Unternehmens erfordert jede Model-Klasse des Patterns das Vorhandensein einer korrespondierenden Controllerklasse. Controller verfügen über ein wiederkehrendes Grundgerüst, das bei jeder neuen Implementierung umgesetzt werden muss. Die Unterscheidungen innerhalb dieses Grundgerüsts ergeben sich lediglich aus dem Namen und der spezifischen Struktur der korrespondierenden Model-Klasse. Die vorliegende Arbeit adressiert die Herausforderung der automatischen Generierung dieses Controllergrundgerüsts, wobei die Besonderheiten jeder Model-Klasse berücksichtigt wird. Dies wird durch den gezielten Einsatz von Metaprogrammierung in der Programmiersprache Smalltalk realisiert und durch eine Benutzeroberfläche in der Entwicklungsumgebung unterstützt. Zusätzlich wird der Controller um eine Datentypprüfung erweitert, wofür ein spezialisierter Parser implementiert wurde. Dieser extrahiert aus einem definierten Getter der Model-Klasse den entsprechenden Datentyp des Attributes. Im Ergebnis liefert die Arbeit eine Methodik zur automatisierten Generierung und Anpassung von Controllergrundgerüsten sowie dazugehörigen Teststrukturen basierend auf der jeweiligen Model-Klasse. Zusätzlich wird die Funktionalität der Controller durch eine integrierte Datentypprüfung erweitert.
Diese Arbeit befasst sich mit der Entwicklung eines umfassenden Konzepts zur Umsetzung des Lieferkettensorgfaltspflichtengesetzes (LkSG), welches ab dem 01.01.2024 für Unternehmen mit mehr als 1.000 Beschäftigten in Kraft tritt.
Die Bachelorarbeit ist in zwei Teile aufgebaut: zum einen den Theorieteil, der die Lieferkette in einem Verkehrsunternehmen und das Lieferkettensorgfaltspflichtengesetz umfasst, um eine Wissensbasis zu schaffen und zum anderen den Hauptteil, bestehend aus der Konzeptionierung. Da das Gesetz bereits im Jahr 2023 für große Unternehmen mit mehr als 3.000 Beschäftigten in Kraft trat, stehen bereits zahlreiche Systeme zur Unterstützung der Umsetzung zur Verfügung. Im Verlauf der Arbeit wurde eine Marktrecherche durchgeführt, bei der die geeignetste Softwarelösung für SWEG identifiziert wird. Um diese Untersuchung effektiv durchzuführen, wurden zwei Softwareauswahl-Tools entwickelt, die bei der Analyse und Bewertung helfen. Zusätzlich zum Software-Lösungsansatz wurde ein alternativer Lösungsansatz erarbeitet, der die eigenständige Handlung im Unternehmen vorsieht. Diese beiden Lösungsansätze werden zum Schluss verglichen, um die Geschäftsführung bei der Entscheidung, welche Version sie schließlich verwenden möchte, zu unterstützen.
Das erarbeitete Konzept bildet auch die Grundlage für die zukünftige Entwicklung und Umsetzung von Gesetzen und Richtlinien im Bereich Menschenrechte und Umweltaspekte. Für die Zukunft werden weitere Gesetze in Kraft treten, beispielsweise die kommende EU-Richtlinie.
Vorhofflimmern ist die häufigste tachykarde Herzrhythmusstörung weltweit. Dabei verliert das Herz seinen normofrequenten Sinusrhythmus und schlägt nicht mehr regelmäßig, sondern zu schnell und unregelmäßig. Vorhofflimmern ist normalerweise keine lebensbedrohliche Herzrhythmusstörung, aber es kann zu einem Schlaganfall führen. Die Ursache dieser Herzrhythmusstörung sind die Kreisende bzw. die fokalen Erregungen im linken Atrium, die hauptsächliche aus einer oder mehreren Pulmonalvenen kommen. Die übliche Therapieverfahren des Vorhofflimmerns ist die Pulmonalvenenisolation.
Diese Bachelorthesis beschäftigt sich daher mit der Modellierung unterschiedlicher linksatrialer Fokus-Modelle und intrakardialer Elektrodenkatheter für die Diagnostik und Terminierung von Vorhofflimmern mittels Pulmonalvenenisolation im Offenburger Herzrhythmusmodell nach Schalk, Krämer und Benke, welches in CST
Studio Suite realisiert wurde.
Zu Beginn wurden die verschiedenen linksatrialen fokalen Flimmerquellen modelliert und daraufhin simuliert. Hierbei wurde jeweils eine Simulation mit linksatrialen fokalen Flimmerquellen, die aus einzelnen, dualen oder allen vier Pulmonalvenen kommen, durchgeführt. Es wurde ebenfalls eine weitere Simulation mit Biosignalen (aus der Realität) erstellt. Mit diesen Simulationen konnte nun der elektrische Erregungsablauf sichtbar gemacht werden. Daraufhin wurden die Katheter für die Diagnostik und für die Pulmonalvenenisolation modelliert und in das bestehende Offenburger Herzrhythmusmodell integriert. Bei den Diagnostik-Kathetern handelte es sich um 10-polige Lasso® Katheter, zwei Varianten von PentaRay® NAV eco Katheter und 4-polige Diagnostik-Katheter „OSYPKA FINDER pure®“. Ablationskatheter sind zwei Varianten von Pentaspline Basket pose Katheter und HELIOSTAR™ Ablation Ballon. Abschließend wurden verschiedene Varianten von Isolationsverfahren der Pulmonalvenen modelliert und daraufhin die linksatrialen fokalen Flimmerquellen nach der Isolation der Pulmonalvenen simuliert.
Die Bachelorarbeit „Forensic Chain – Verwaltung digitaler Spuren in Deutschland“ untersucht die Anwendung eines Blockchain-basierten Chain of Custody Systems im deutschen rechtlichen und regulatorischen Kontext. Die digitale Forensik, die sich mit der Sicherung und Analyse digitaler Spuren befasst, gewinnt an Bedeutung, da kriminelle Aktivitäten vermehrt im digitalen Raum stattfinden. Die Blockchain-Technologie bietet transparente und unveränderliche Aufzeichnungen, die sich für die Speicherung von Informationen im Zusammenhang mit digitalen Beweismitteln eignen. Das Hautpziel der Arbeit besteht darin, die Umsetzung eines Chain of Custody Prozesses im Forensic Chain System zu untersuchen und die Eignung dieses Systems im deutschen Raum zu bewerten. Hierfür wird ein Prototyp des Forensic Chain Systems entwickelt, um das erstellte Konzept zu testen. Die Ergebnisse tragen zum Verständnis der Wichtigkeit der digitalen Forensik in Deutschland bei und bieten Einblicke in die Einführung von Blockchain-basierten Chain of Custody-Systemen in diesem Bereich. Sie leisten einen Beitrag zur Weiterentwicklung der digitalen Forensik.
Previous studies of the hyphenation of gas chromatographic separation and spectrophotometric detection in the ultraviolet wavelength range between 168 and 330 nm showed a high potential for applications where the analysis of complex samples is required. Within this paper the development of a state-of-the-art detection system for compounds in the vapour phase is described, offering an improved behaviour compared to previous systems: Dependent on the requirements of established detection systems hyphenated with gas chromatography, the main components of the system have to be designed for optimum performance and reliability of the spectrophotometric detector: A deuterium lamp as a broadband light source has been selected for improved stability in the measurements. A new-type absorption cell based on fiber-optics has been developed considering the dynamic necessary to compete with existing techniques. In addition, the influence of the volume of the cell on the chromatogram needs to be analyzed. Tests for determining the performance of the absorption cell in terms of chemical and thermal influences have been carried out. A new spectrophotometer with adequate spectral resolution in the wavelength range, offering improved stability and dynamic for an efficient use in this application was developed. Furthermore, the influence of each component on the performance, reliability and stability of the sensor system will be discussed. An overview and outlook over the potential applications in the environmental, scientific and medical field will be given.
Bluetooth personal area networks (PANs) share the 2.4 GHz ISM spectrum with the IEEE 802.11b wireless local area networks (WLANs). With the popularity of wireless devices, this ISM spectrum is becoming more and more crowded. As a result of this interference between WLANs and PANs, the performance of each network is decreased. Current research has not significantly covered the degrading impact of an 802.11b interferer on Bluetooth voice transmission. Within this project, simulations were carried out to precisely study the impact of an 802.11b interferer on the performance of Bluetooth voice transmission at different ratio levels of Bluetooth power to WLAN power at the receiver side. Furthermore, the impact of SNR on the Bluetooth voice performance and the benefit of using the SCORT packet type was analysed as well. Based on the results presented, network performance can be evaluated at the desired activity level.
In thin-layer chromatography, fiber-bundle arrays have been introduced for spectral absorption measurements in the UV-region. Using all-silica fiber bundles, the exciting light will be detected after re-emission on the plate with a fiberoptic spectrometer. In addition, fluorescence light can be detected which will be masked by the re-emitted light. Therefore, it is helpful to separate the absorption and fluorescence on the TLC-plate. A modified three-array assembly has been developed: using one array for detection, the two others are used for excitation with broadband band deuterium-light and with UV-LEDs adjusted to the substances under test. As an example, the quantification of glucosamine in nutritional supplements or spinach leaf extract will be described. Using simply heating of the amino-plate for derivation, the reaction product of Glucosamine can be detected sensitively either by light absorption or by fluorescence, using the new fiber-optic assembly. In addition, the properties of the new 3-row fiber-optic array and the commercially available UV-LEDs will be shown, in the interesting wavelength region for excitation of fluorescence, from 260 nm to 360 nm. The squint angle having an influence on coupling efficiency and spatial resolution will be measured with the inverse farfield method. Some properties of UV-LEDs for analytical applications will be described and discussed, too.
Most E-Learning projects tend to separate learning activities from everyday work. This paper presents an approach where closer integration between learning and work is achieved by integrating multimedia services into manufacturing processes. The goal of E-Learning services integration in manufacturing is, through the development of new multimedia solutions, to accelerate and enhance the ability of manufacturing industry to capitalise on the emergence of a powerful global information infrastructure. In this paper we suggest to combine the areas of media streaming services and manufacturing processes, by providing electronic learning offerings as collections of media streaming services. The key components of our approach are 1) an xml based streaming service specification language, 2) automated configuration of distributed E-Learning streaming applications, 3) web services for searching, registration, and creation of E-Learning streaming services.
Integrating voice / video communication into business processes can accelerate resolution time, reduce mistakes, and establish a full audit-trail of the interactions. Some VoIP service providers offer website based or plugin based solutions, which are, however, difficult to integrate with other applications. A promising approach to overcome these disadvantages is the development of appropriate Web Services to allow applications interacting with a VoIP system. We propose a generic framework for VoIP applications consisting of an XML-based service specification language and a set of reusable Web Service components. Service providers using the proposed service-oriented architecture can offer to their customers a protocol-neutral Web Service interface, thus enabling the deployment of a general and integrated VoIP solution.
This paper presents a streaming-based E-Learning environment where closer integration between learning and work is achieved by integrating multimedia services into manufacturing processes. It contains a comprehensive and detailed explanation of the proposed E-Learning streaming framework, especially the adaption of streaming services to mobile environments. We first analyze several scenarios where E-Learning streaming services can be integrated into manufacturing processes. To allow systematic and tailor-made integration, we develop a model and a specification language for E-Learning streaming services and apply the model using practical scenarios from real manufacturing processes. Adaption of multimedia streaming services to mobile devices is discussed based on Synchronized Multimedia Integration Language (SMIL). Last, we comment on the benefits of using E-Learning streaming services as part of manufacturing processes and analyze the acceptance of the developed system. The key components of our E-Learning environment are 1) an xml based streaming service specification language, 2) adaption of multimedia E-Learning services to mobile environments, and 3) Web Services for searching, registration, and creation of E-Learning streaming services.
In this paper we suggest to combine the areas of media streaming services, mobile devices, and manufacturing processes to support monitoring, controlling and supervising production processes in order to achieve high levels of efficiency and environmentally friendly production. It contains a comprehensive and detailed explanation of the proposed E-Learning streaming framework, especially the adaption of streaming services to mobile environments. The key components of our approach are 1) an XML-based streaming service specification language, 2) adaption of multimedia E-Learning services to mobile environments, and 3) a media delivery platform for searching, registration, and creation of streaming services for mobile devices.
The need of suitable system of records in gaining ground as companies seek to maximize performance by harnessing the knowledge of their businesses, is discussed. Focused systems of record deliver a clear and consistent view even as they address a range of functions. Enterprise resource planning (ERP), as the financial system of record, embodies that view of manufacturing, inventory management, accounting and order processing. Customer relationship management (CRM), as a system of record, taps not only into the marketing and sales and service, but also into product development.
The central purpose of this paper is to present a novel framework supporting the specification and the implementation of media streaming services using XML and Java Media Framework (JMF). It provides an integrated service development environment comprising of a streaming service model, a service specification language and several implementation and retrieval tools. Our approach is based on a clear separation of a streaming service specification, and its implementation by a distributed JMF application and can be used for different streaming paradigms, e.g. push and pull services.