1752 research outputs found
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Entwicklung und Umsetzung einer anforderungsgestützten API auf Grundlage einer medizinischen Datenbank
Get PDFEs besteht in der Informatik seit jeher ein großes Bedürfnis, Informationsnetzwerke aufzubauen und exklusive Daten einer größeren Anzahl an Interessenten zu erschließen. Es gilt Schnittstellen zu kreieren, die zum Einen dem technischen Anspruch gerecht werden, als auch zum Anderen in der Handhabung Effizienz über Komplexität stellen. Nicht einfach eine durchdringende Vernetzung ist das Ziel, sondern die Integration neuer Ideen und die sinnvolle Aufteilung von Arbeit und Segmenten der IT-Infrastruktur. Die Tinnitus Datenbank der TRI (Tinnitus Research Initiative) ist eine medizinische Datenbank, die stark von einer Schnittstelle, in diesem Fall auch API genannt, profitieren würde und plant, sich dadurch kreativen Entwicklern und bisher unbeachteten Anwendungsmöglichkeiten zu öffnen. Dafür ist es notwendig, die Bedingungen der unterliegenden Datenbanktechnik zu überprüfen und Anwendungsgebiete in Betracht zu ziehen, die ohne API nicht realisierbar wären. Der Gestaltung und Implementierung solch einer API ist die folgende Arbeit gewidmet. Erforderlich ist das Einbeziehen zeitgemäßer Techniken und eine Anpassung an die Ausgangslage, d. h. die derzeitigen Datenmodelle und eingesetzte Architektur. Letztendlich soll eine lauffähige API Wege aufzeigen, wie die zukünftige Arbeit mit der Tinnitus Datenbank aussehen könnte
Process-Driven and Flow-Based Processing of Industrial Sensor Data
Get PDFFor machine manufacturing companies, besides the production of high quality and reliable machines, requirements have emerged to maintain machine-related aspects through digital services. The development of such services in the field of the Industrial Internet of Things (IIoT) is dealing with solutions such as effective condition monitoring and predictive maintenance. However, appropriate data sources are needed on which digital services can be technically based. As many powerful and cheap sensors have been introduced over the last years, their integration into complex machines is promising for developing digital services for various scenarios. It is apparent that for components handling recorded data of these sensors they must usually deal with large amounts of data. In particular, the labeling of raw sensor data must be furthered by a technical solution. To deal with these data handling challenges in a generic way, a sensor processing pipeline (SPP) was developed, which provides effective methods to capture, process, store, and visualize raw sensor data based on a processing chain. Based on the example of a machine manufacturing company, the SPP approach is presented in this work. For the company involved, the approach has revealed promising results
Smartphone Apps in the Context of Tinnitus: Systematic Review
Get PDFSmartphones containing sophisticated high-end hardware and offering high computational capabilities at extremely manageable costs have become mainstream and an integral part of users' lives. Widespread adoption of smartphone devices has encouraged the development of many smartphone applications, resulting in a well-established ecosystem, which is easily discoverable and accessible via respective marketplaces of differing mobile platforms. These smartphone applications are no longer exclusively limited to entertainment purposes but are increasingly established in the scientific and medical field. In the context of tinnitus, the ringing in the ear, these smartphone apps range from relief, management, self-help, all the way to interfacing external sensors to better understand the phenomenon. In this paper, we aim to bring forth the smartphone applications in and around tinnitus. Based on the PRISMA guidelines, we systematically analyze and investigate the current state of smartphone apps, that are directly applied in the context of tinnitus. In particular, we explore Google Scholar, CiteSeerX, Microsoft Academics, Semantic Scholar for the identification of scientific contributions. Additionally, we search and explore Google’s Play and Apple's App Stores to identify relevant smartphone apps and their respective properties. This review work gives (1) an up-to-date overview of existing apps, and (2) lists and discusses scientific literature pertaining to the smartphone apps used within the context of tinnitus
Entwicklung eines interaktiven webbasierten Editors für die Erstellung elektronischer Fragebögen
No full textDigitalisierung, das Stichwort für Fortschritt im Privat- und Berufsleben, durchdringt viele verschiedene Anwendungsdomänen. Unter anderem stellt sie einen enormen Vorteil in der Erfassung von statistischen Werten dar. Diese können beispielsweise durch die Bewertung von Fragebögen erfasst werden. Gerade in Forschungsbereichen wie der Medizin oder der Psychologie sind sie ein wichtiger Bestandteil.
Trotz digitalen Zeitalter werden Fragebögen noch sehr oft in reiner Papierform genutzt, wodurch Nachteile und Messungenauigkeiten wie potenziell inkorrektes Ausfüllen, sowie fehlerhaftes Auswerten, entstehen. Ferner möchte man den Fragebogen ändern können, ohne jedes Mal die aktuelle Version ausdrucken zu müssen. Natürlich gibt es bereits Ansätze der Digitalisierung in diesem Bereich, doch die meisten Anwendungen setzen häufig eine gewisse IT-Erfahrung des Nutzers voraus. Man kann nicht davon ausgehen, dass der Nutzer solche Kenntnisse besitzt.
Diese Arbeit stellt einen interaktiven webbasierten Editor vor, welcher auch von Fachexperten ohne IT-Kenntnisse verwendet werden kann. Mit diesem Editor kann der Nutzer mittels Drag&Drop die gewünschte Struktur eines Fragebogens erstellen. Um eine möglichst fehlerfreie Bedienung sicherzustellen wird dem Nutzer eine Echtzeit-Unterstützung angeboten. Die einfache Handhabung wird durch eine kurze Bedienungsanleitung auf der Startseite, sowie einem Beispieldiagramm ermöglicht. Gelegentliche Pop-up Hinweise sowie Lösungsvorschläge werden im Fall einer falschen Modellierung angezeigt
Development of a Distributed Workflow-based Analysis Service for Metadata of Mobile Applications
Get PDFSmartphones have multiple functions and can, therefore, be used for many different applications. An interesting use case is in the area of mHealth apps. Therapists can use mHealth apps for special treatments in the field of meditation, depression, or tinnitus, to name just a few. This poses a problem because the ratings of apps are not objective and can be misleading. This leads to the difficulty that therapists are not able to make a good decision based on the information provided.
To improve this situation, a workflow-based service for the use case of the analysis of metadata for mHealth apps is developed. This service retrieves the metadata of the apps from the Google Play Store and allows to save the metadata of different points in time. In addition, experts can rate the apps using the MARS questionnaire in order to extend the existing data. The advantage of this service is that more information about mHealth apps is available, and the evaluations are more objective.
By using the metadata of an app at different points in time, changes can be analyzed. The analysis of app metadata and the questionnaire data is used for the creation of a user interface that provides an overview of the changes and shows the results of the questionnaires. Consequently, this will help therapists to determine whether the app is suitable for a specific case.
In this thesis, a workflow engine for the orchestration of microservices is used. This is a modern approach to achieve a maintainable and scalable solution. The core of the presented solution is based on Zeebe, a product for orchestration of service tasks defined in a BPMN 2.0 workflow. Each service task is implemented as a microservice. The service tasks are implemented using the Zeebe client and are developed in the modern programming language Go. To store the data, CouchDB is used. An open-source web scraper written in JavaScript is used to retrieve the app metadata from the Google Play Store. The prototype presented in this thesis shows that a service for analyzing metadata of mobile applications can be based on the technologies used
Context-Aware Querying and Injection of Process Fragments in Process-Aware Information Systems
Get PDFCyber-physical systems (CPS) are often customized to meet customer needs and, hence, exhibit a large number of hard-/software configuration variants. Consequently, the processes deployed on a CPS need to be configured to the respective CPS variant. This includes both configuration at design time (i.e., before deploying the implemented processes on the CPS) and runtime configuration taking the current context of the CPS into account.
Such runtime process configuration is by far not trivial, e.g., alternative process fragments may have to be selected at certain points during process execution of which one fragment is then dynamically applied to the process at hand.
Contemporary approaches focus on the design time configuration of processes, while neglecting runtime configuration to cope with process variability.
In this paper, a generic approach enabling context-aware process configuration at runtime is presented. With the Process Query Language process fragments can be flexibly selected from a process repository, and then be dynamically injected into running process instances depending on the respective contextual situations. The latter can be automatically derived from context factors, e.g., sensor data or configuration parameters of the given CPS.
Altogether, the presented approach allows for a flexible configuration and late composition of process instances at runtime, as required in many application domains and scenarios
Towards Quantifying the Effects of Robotic Process Automation
Get PDFRobotic Process Automation (RPA) is the automation of rule-based routine processes to increase process efficiency and to reduce process costs. In practice, however, RPA is often
applied without knowledge of the concrete effects its introduction will have on the automated process and the involved stakeholders. Accordingly, literature on the quantitative effects of RPA is scarce. The objective of this paper is to provide empirical insights into improvements and deteriorations of business processes achieved in twelve RPA projects in the automotive industry. The results indicate that the positive benefits promised in literature are not always achieved in practice. In particular, shorter case duration and better quality are not confirmed by the empirical data gathered in the considered RPA projects. These quantitative insights constitute a valuable contribution to the currently rather qualitative literature on RPA
Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
No full textIn medicine or industry, the analysis of high-dimensional data sets is increasingly required. However, available technical solutions are often complex to use. Therefore, new approaches like immersive analytics are welcome. Immersive analytics promise to experience high-dimensional data sets in a convenient manner for various user groups and data sets. Technically, virtual-reality devices are used to enable immersive analytics. In Industry 4.0, for example, scenarios like the identification of outliers or anomalies in high-dimensional data sets are pursued goals of immersive analytics. In this context, two important questions should be addressed for any developed technical solution on immersive analytics: First, is the technical solutions being helpful or not? Second, is the bodily experience of the technical solution positive or negative? The first question aims at the general feasibility of a technical solution, while the second one aims at the wearing comfort. Extant studies and protocols, which systematically address these questions are still rare. In this work, a study protocol is presented, which mainly investigates the usability for immersive analytics in Industry 4.0 scenarios. Specifically, the protocol is based on four pillars. First, it categorizes users based on previous experiences. Second, tasks are presented, which can be used to evaluate the feasibility of the technical solution. Third, measures are presented, which quantify the learning effect of a user. Fourth, a questionnaire evaluates the stress level when performing tasks. Based on these pillars, a technical setting was implemented that uses mixed reality smartglasses to apply the study protocol. The results of the conducted study show the applicability of the protocol on the one hand and the feasibility of immersive analytics in Industry 4.0 scenarios on the other. The presented protocol includes a discussion of discovered limitations
Robotic Process Automation - A Systematic Literature Review and Assessment Framework
Get PDFRobotic Process Automation (RPA) is the automation of rule-based routine processes to increase efficiency and to reduce costs. Due to the utmost importance of process automation in industry, RPA attracts increasing attention in the scientific field as well. This paper presents the state-of-the-art in the RPA field by means of a Systematic Literature Review (SLR). In this SLR, 63 publications are identified, categorised, and analysed along well-defined research questions. From the SLR findings, moreover, a framework for systematically analysing, assessing, and comparing existing as well as upcoming RPA works is derived. The discovered thematic clusters advise further investigations in order to develop an even more detailed structural research approach for RP
Towards the Discovery of Object-Aware Processes
Get PDFThere has been a huge body of research in order to reduce manual efforts in creating executable process models through the automated discovery of process models from the event logs created by information systems. Regarding activity-centric processes, such event logs comprise case ids and events related to the execution of process activities. However, there exist alternative process management paradigms, such as object-aware processes, for which existing algorithms fail to discover a sound model. These algorithms do not treat data as first-class citizens, but solely rely on the information from event logs. In consequence, existing discovery algorithms are insufficient for discovering object-aware processes. To address this issue, discovery algorithms need to consider additional data sources (e.g., existing forms). This paper discusses the need for dedicated discovery techniques in object-aware processes