The retail sector is experiencing transforming changes driven by service robots (SR).While SR promise benefits such as improved inventory management, increased efficiency, and enhanced customer satisfaction, their integration presents technical and societal challenges.Technical hurdles encompass image classification under varying conditions, data security, localization, and obstacle detection.On the societal front, concerns revolve around public perception, safety, and employee apprehension regarding job security.This paper provides a comprehensive overview of these challenges and opportunities, highlighting that while SR have considerable potential, their optimal utilization in retail may be best suited for non-human facing tasks, given the current limitations of AI in human interactions.

This cross-departmental initiative bridges Business and IT to establish a nexus for technological innovation, academic research, and tangible retail application, particularly in the realms of Robotics, Sensor Technology, Service Technology, Data Science driven by Artificial Intelligence within a retail setting.Conceived as both a living lab and an innovation hub, this project embodies a fully-operational retail store of the future, furnished with cutting-edge technologies and resourced by experts across varied disciplines and research domains.The overarching objective centers on facilitating knowledge generation and transfer among students, faculty, retailers, and technology companies.By doing so, the lab endeavors to foster collaborative solutions to aptly address the pressing challenges currently being faced by the retail industry, paving the way for sustainable, innovative developments for the future.

Zusammenfassung Um den stationären Handel weiterhin rentabel und effizient zu gestalten, ist der Einsatz von Technologie und Software essenziell. Auch der Einsatz von smarter Robotik ist eine Antwort auf fehlendes Personal und steigende Aufgaben im Laden. Der Artikel gibt einen Überblick über aktuelle und zukünfige Anwendungen von Robotern im stationären Handel und legt Herausforderungen und Potenziale dar.

5G pledged to enable new use cases for industry and robotics through enhanced Mobile Broadband (eMBB), massive Machine Type Communications (mMTC) and Ultra Reliable Low Latency Communications (URLLC). At the present date, a gap exists between what should be achievable according to the standard and what is practically feasible. This paper gives an overview over practical implementations of 5G industrial and robot use cases and shows that, at the present time, some promises given by 5G, cannot be kept.

Online channels collect almost effortlessly a lot of behavioral customer data in a fully automated manner. Providing a comparable number of metrics for traditional brick-and-mortar environments is challenging and requires the introduction of additional sensor technology. In this work a systematic computer science literature review is carried out to provide an overview of measurement objects, associated characteristics, and sensor technologies for brick-and-mortar retail environments. The measurement objects can be divided into product and person detection, with the latter focusing on determining the characteristics of persons, namely frequency, path, and features. From the identified sensor technologies, image and depth sensors are the most versatile, but also require the highest computational effort and infrastructure cost. For the detection of some characteristics, other technologies, like wireless beacons, provide a viable alternative. Results are presented in a suitability matrix. Based on the results we propose a stronger interdisciplinary collaboration between marketing and computer science scholars.

Wissen über Digitalisierung, Automatisierung und über „smarte“ Technologien sind Schlüssel für einen stabilen und nachhaltigen Erfolg von Klein- und Mittelunternehmen in der Region Salzburg. Die Fachhochschule Salzburg beantragte aus diesem Grund die Initiative Salzburg Smart Factory Bootcamp. Moderne und mobile Industrierobotik, kommunikative Software-Architekturen und OT-Sicherheit bilden die Basis für die Umsetzung aktueller Smart-Factory-Technologien und deren Potentiale in Unternehmen. Ziel des Bootcamps ist die gezielte Weiterqualifizierung mit modernsten Smart-Factory-Technologien von Mitarbeiterinnen und Mitarbeitern der beteiligten Unternehmen. Zusätzlich kann langfristig, auch über die beantragte Projektlaufzeit hinaus, die Zusammenarbeit zwischen Hochschule und Salzburger Unternehmen etabliert und weitergeführt werden.

In the following a minimalistic approach for process interoperability, consisting of a topic-based Publish/Subscribe system is presented. It combines an infrastructure and a method guiding the implementation of a basic Service Resolution Infrastructure (SRI) for Service Choreography and Service Interoperability. This SRI can be used to realize resilient collaboration tasks in Industry 4.0 (I4) and Industrial Internet of Things (IIoT) settings without central coordination.

The Intelligent Maintenance Planner (IMP) is designed to automate and improve maintenance processes in industrial applications. The system tracks the entire process cycle beginning with data acquisition and management, it then detects and classifies failure states, initializes maintenance cases, and selects and assigns the required resources. IMP guides maintenance work processes, by automatically providing instructions and augmented reality information. Subsequent feedback of the maintenance process and new or updated information is added to the system and used to train selection algorithms. A prototype of IMP was implemented based on an industrial SCADA system and cloud solutions for storage and machine learning capabilities. This report explains the stages of the maintenance process and provides an outline of the implementation and project results.

In this presentation we briefly describe potential benefits of using data analysis methods to improve maintenance processes. After a short introduction to an automated, multi-step maintenance process and a survey of the state of data in industry, we explain, how selected data analysis methods can be used to improve maintenance demand detection

bIng. Punzenberger COPA-DATA GmbH, Karolingerstrase 7b, A-5020 Salzburg, AUSTRIA KURZFASSUNG/ABSTRACT: Der Beitrag beschaftigt sich mit der Integration von Software-Werkzeugen zur Simulation von Industrieanlagen bzw. industriellen Prozessen, mit einem Hauptfokus auf diskrete eventbasierte Simulation, in ebenfalls Software-basierten Systemen aus dem Bereich Supervisory Control and Data Acquisition (SCADA) sowie Human-Machine Interface beziehungsweise Human-Machine Interaction (HMI). Anhand einer Beispielimplementierung basierend auf der HMI/SCADA-Losung zenon der Firma COPA-DATA und auf der Mehr-Methoden-Simulationssoftware AnyLogic der The AnyLogic Company wird demonstriert, wie und mit welchen Methoden und Datenmodellen eine Simulation in das Uberwachen und Steuern technischer Prozesse mittels eines Computer-Systems integriert werden kann. Der dabei entwickelte Software-Adapter ist eine Zusammenfassung von bewahrten Technologien zu einer neuartigen einheitlichen Programmierschnittstelle (API) auf Basis der Simple Object Access Protocol (SOAP). In einem Wechselspiel zwischen Hardware-In-The-Loop und Software-In-The-Loop Szenario konnen durch die Integration von Simulation und Echtsystemen Zustande von Sensoren und Aktoren der Anlage mit den Zustanden von Sensoren und Aktoren der Simulation abgeglichen werden, um einerseits das Modell standig zu erweitern bzw. zu verbessern, und andererseits Aussagen uber Stabilitat und Verhalten des Realsystems zu erlauben. Zusatzlich werden im Rahmen des Beitrages bereits umgesetzte und auch zukunftige Anwendungen einer derartigen Verbindung erlautert und diskutiert. 1 EINLEITUNG Unter dem Sammelbegriff „Software fur digitale Produktion“ existieren Programme und Rahmenwerke zur Vereinfachung, Reproduktion und Automatisierung von Planung, Inbetriebnahme, Wartung, Analyse und Visualisierung von allen Teilen der Produktionsprozesskette. Insbesondere grose Unternehmen und Betriebe in hochautomatisierten Industrien, wie etwa der Automobil- oder Energiebranche, setzten derartige Werkzeuge schon sehr erfolgreich ein. Trotzdem existieren noch eine Reihe von Branchen, die weniger Automatisierungswerkzeuge nutzen, wie etwa die Sageindustrie sowie viele Klein- und Mittelunternehmen, die aus den verschiedensten Grunden (Kosten, Ausbildungsstand des Personals, fehlende Unterstutzung bei der Auswahl der geeigneten Werkzeuge) keine oder nur teilweise computergestutzte Instrumente einsetzten. Gerade Simulationswerkzeuge werden dabei besonders selten erfolgreich eingesetzt. Im Gegensatz dazu verfugen oft auch weniger IKT-affine Klein- und Mittelunternehmen bereits uber Software zur Anlagensteuerung und zur Aufzeichnung und Visualisierung von Messwerten. Eine Kopplung zwischen SCADA-Systemen und einer Simulationsumgebung wird auch im Kontext der System-Sicherheit betrachtet. In [1] und [2] wird die Implementierung einer Simulationsumgebung zur Analyse der Sicherheit in SCADA-Systemen beschrieben mit dem Ziel, Methoden zur Analyse und Bewertung der Auswirkungen von Angriffen auf die Sicherheit eine SCADA-Systems zu entwickeln [1]. Der Fokus der aktuellen, publizierten Forschungen liegt in der Simulation von SCADA-Systemen. Im Bereich der Einbindung von Software, die Prozesse

Over the last decades, the amount of medical information has been growing rapidly. Online platforms such as patient's and doctor's blogs and forums and medical databases are widely and easily accessible to medical professionals as well as to the public. However, researching, filtering and evaluating the quality of this often overwhelming amount of data remains a challenge. Moreover, existing guidelines in the medical context are extensive and hardly applicable in the clinical context since reading and translation into clinical practice is time consuming [1][2]. Due to growing critical awareness among patients towards their medical treatment, there is an increased demand from internists, general practitioners, and other specialists, to explain medical conditions, treatment options and procedures in a more comprehensive fashion. In addition this discussion should be supported by the current state of clinical research. Expert systems could provide valuable support to fulfill these needs. Initial prototypes of expert systems in the inpatient arena were already implemented in the 1960's in the context of clinical trials [3]. The main goal of these systems was to improve medical care by assisting in the medical decision process. However, most of these systems did not remain in clinical practice for a prolonged period of time. In most cases, the user interface of the software was too complex for daily use. Appropriate application and a detailed insight into these systems requires a lot of handbook knowledge. Therefore the initial hurdles for the integration of software into specific clinical application, faced by the potential users were too cumbersome. The main purpose of the project ProPath was to eliminate these issues and at the same time provide optimal clinical practice for the health care system in a variety of medical topics. Both in the outpatient and inpatient scenario, there is an increasing demand to support communication and to improve the distribution of published knowledge and the application of practical experiences within the medical field. The main challenge to achieve that objective is to design an intuitive, user friendly software product that can be integrated into the current standard network environments. An example of successful implementation of a medical information system into clinical practice is the PROP system [4]. It is a medical decision support system, which has been designed, developed and implemented in Austria in the course of Reformpoolprojekt, in order to optimize the preoperative process. Since 2008, it is applied by general practicioners, pediatricians, clinicians and internists, in the state of Salzburg and was externally evaluated by the Paracelsus Medical University (PMU) in Salzburg. This paper provides an overview on how acquired knowledge can be utilized to reduce the complexity of designing and implementing clinical pathways (ProPath), supported by medical information or expert systems. Finally, statistical results evaluating PROP user-behavior are described.

Supervisory Control and Data Acquisition (SCADA) systems are omnipresent in production operation worldwide. Failure detection within these systems remains a challenging task as the level of granularity in terms of location-based identification is low. The systems are able to identify and display failing components, but the situation becomes even more severe in case one of the failing components is not an electronic component but a structural component with a spatial extent such as a pipeline system. In consequence, the process of detection and repair of such components remains a time-consuming and cost-intensive task. To provide a generic solution for this kind of issues, the authors present a conceptualization and a software adapter bridging a SCADA system and a Geographic Information System (GIS). The authors employ international standards from both domains to enable an information exchange between these systems. The resulting autonomous software adapter and the corresponding prototypical implementation thus extends SCADA systems with GIS capabilities.

This paper presents a prototypical, Web based data conversion framework and its underlying data representation principles which allow conversions from and to any data format. Therefore, a data model is proposed which allows storing values of arbitrary types, including inter-data dependencies and meta information. Furthermore, an Extensible Markup Language XML based model to describe data formats is provided which allows specifying programs to convert data represented in existing formats both from and to the proposed data model. It will be shown that these programs are Turing complete, thus allowing the same arbitrarily complex conversions which are possible with Extensible Stylesheet Language Transformations XSLT or the C programming language. Finally, the components of a prototypical Web based implementation in form of a validator, a data converter and a data generator are described. In combination with a data editor, parts of this prototypical implementation are already employed in several use cases in the industry and other research projects to transform data between different formats.

We propose a data model which allows storing values of arbitrary types, including inter-data dependencies and meta information. Furthermore, we provide an Extensible Markup Language (XML) based model to describe data formats which allows specifying programs to convert data represented in existing formats both from and to our proposed data model. We will show that these programs are Turing complete, thus allowing the same arbitrarily complex conversions which are possible with Extensible Stylesheet Language Transformations (XSLT) or the C programming language. In addition, we describe the components of a prototypical implementation in form of a validator, a data converter and a data generator. In combination with a data editor, parts of our prototypical implementation are already employed in several use cases in the industry to transform data between different formats.

„People as Sensors“ bezeichnet ein Messmodell, in dem nicht nur geeichte Messgeräte Daten liefern, sondern auch Menschen subjektive „Messungen“ wie Sinneseindrücke, Empfindungen oder persönliche Beobachtungen beitragen. So können Menschen als Sensoren mit kontextueller Intelligenz und umfassendem lokalen Wissen fungieren, um Entscheidungsunterstützungsprozesse durch individuelle Information zu erweitern. Die gegenständliche Publikation beschreibt die Konzeption und Umsetzung einer mobilen Applikation für People as Sensors bestehend aus Komponenten für Datenaufnahme, Messdatenintegration, sowie deren Bereitstellung für weiterführende Analyseund Visualisierungssystem. Mit Hilfe des entwickelten Systems können subjektive Beobachtungen mit objektiven Messdaten von geeichten Sensoren verschnitten werden, um die Datenbasis für Entscheidungsunterstützung in verschiedenen Bereichen wie Sicherheitsmanagement, Gesundheitsmanagement, Stadtplanung, Verkehrsmanagement etc. zu erweitern.

The microstructure of a medium density fiberboard (MDF) has attracted much interest, because it determines most of the properties during production as well as during use of this type of board. In this paper the sub-micrometer computer tomography (sub-mu m-CT) with very high resolution was used in order to investigate an industrially produced MDF. The data obtained were analyzed using mathematical morphology and image analysis in order to obtain information on the distribution of voids and the fiber material. Resulting distributions were found to follow Gamma-law which was confirmed using the maximum likelihood estimation. Eventually, good correlations between void distribution and local density as well as between the proportion of cell wall material and local density were found in this investigation. (C) Koninklijke Brill NV, Leiden, 2010

This paper presents a new type of monitoring environment for action forces during any indoor or outdoor mission to increase efficiency and manageability. The major benefit of the system is to improve short time planning of staff commitment so that staff can be retrieved or exchanged as required by the circumstances. The system itself consists of two main components: i) Data collection via an embedded device and a web server involving and standardized data transmission SensorML, Observations) to a web server ii) Data visualization on a central or mobile device (computer or mobile phone). This paper illustrates the system by describing how two essential vital signs – pulse rate and oxygen saturation – are used to monitor action force members under adverse conditions and how this data is graphically displayed for the control unit staff so that they can immediately intervene as necessary. The components of the system and their interaction are explained in detail as well as the implementation and the results of a first test phase. The innovative approach of this specific system lies in the combination of the user-friendly data display based on the ollected data in near real-time and the geographical location information. An additional advantage is the flexibility and scalability of the system as it runs on a variety of devices both mobile and fixed.

b COPA-DATA GmbH, Karolingerstrasse 7B, A-5020 Salzburg, AUSTRIA ABSTRACT 1 : This paper presents the conceptual design and the related implementation of a bidirectional domain inter- connection bridging Supervisory Control and Data Acquisition (SCADA) systems and Geographic Infor- mation (GI) systems. Due to the numerous common interests and the fact that both realms, SCADA and GIS, have their own central information, namely time-based sensor data and geographical position, a connection between these domains is a benefit for both of them. Therefore, the authors designed and implemented a bidirectional software connector by the use of implementations of the two standards OPC UA and OCG SOS. The presently linked information from a SCADA system can be utilized and further augmented by a GIS, which can then readdress its outcomes to the former and vice versa. The proposed adapter and its components have been validated in a real-world scenario. The data from three different experimental buildings were visualized and exchanged between a SCADA/HMI-System and a GIS using the developed software prototype.