Impact Factor: 0.9

Published since June 20, 1959

it - Information Technology

Methods and Applications of Informatics and Information Technology

ISSN: 2196-7032

Editors-in-chief: Stefan Conrad, Hubert Mara, Paul Molitor, Ricardo Usbeck

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About this journal

it - Information Technology is a strictly peer-reviewed scientific journal. It is the oldest German journal in the field of information technology. Today, the major aim of it - Information Technology is highlighting issues on ongoing newsworthy areas in information technology and informatics and their application. It aims at presenting the topics with a holistic view. It addresses scientists, graduate students, and experts in industrial research and development.

it - Information Technology is the organ of the faculties Technical Informatics and Computer Science in the Life Sciences of the German Informatics Society (GI - Gesellschaft für Informatik e.V.) and faculty Technical Informatics of the Information Technology Society (ITG) within the VDE (Verband der Elektrotechnik, Elektronik und Informationstechnik e.V.).

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Comprehensible introduction of problems related to information technology
Basic and applicative methods
Interdisciplinary approach to IT
High quality peer-review
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History

it - Information Technology was founded as Elektronische Rechenanlagen in 1959. To live up to the changes in the scientific and technological world it changed its name and shape several times. In 1986 it became it - Informationstechnik and it+ti - Informationstechnik und Technische Informatik in 1993. In 2002, the journal got the current name it - Information Technology.

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Volume 65 Issue 3

June 2023

Publicly Available August 14, 2023

Frontmatter

Page range: i-iii

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Editorial

August 4, 2023

IoPT: internet of processes and things

Christoph Pollak

Page range: 75-75

Research Articles

June 8, 2023

An IoT architecture to integrate different machine tools into a compound OPC UA interface

Diana Strutzenberger, Martin Kunz, Lisa Magdalena Schuster, Juergen Mangler, Ronald Hinterbichler

Page range: 76-91

Abstract

In the course of efforts to develop and define uniform routines for the implementation of Internet of Things (IoT) in industrial environments, it has become essential to integrate industrial communication standards such as OPC UA in the context of IoT ontologies and implications for practical implementation. The Sensor, Observation, Sampling, and Actuator Ontology (SOSA) offers the possibility of mapping OPC UA services such as read and write functions to the underlying system in the sense of IoT. As an aid for the practical implementation of industrial use cases, an architecture based on the considerations of a generic modular system is proposed. Variable elements in the implementation of OPC UA interfaces are identified and discussed. The architectural approach is being evaluated by implementing an OPC UA server and supplementary applications in order to embed machine tools with different control systems in industrial production networks.

June 27, 2023

Design of an IoPT approach to create a cocktail robot station with robotic arm: components, interfaces and control

Nataliia Klievtsova, Marcel Fuschlberger

Page range: 91-101

Abstract

Successful and profitable companies in the 21st century have to integrate and adapt modern technologies to reach productivity and sustainability goals. While large enterprises have the resources (human, knowledge, and technology) to incorporate automation hardware and the required computational means to support automation, for small and medium enterprises (SMEs) finding the necessary resources is much more difficult. Even though benefits from such modifications are obvious (i.e., gain new clients, improve current process performance or break into new market), SMEs often lack the human resources and knowledge to implement automation. With the development of the Internet of Things (IoT), devices, sensors and platforms are becoming more affordable and available for companies and businesses, that are not connected with IT technologies, industrial sector, etc. In order to simplify automation for SMEs, simple and standardized integration procedures and best practice examples are important. In this paper we propose the concept and design of a smart bar system that is based on the Internet of Processes and Things (IoPT) concept which is able to prepare and serve drinks to clients based on smart features.

Case Report

June 1, 2023

IoPT integration on the factory floor: a case study

Alexander Raschendorfer, Thomas Frühwirth

Page range: 102-112

Abstract

Digital transformation affects many aspects of our everyday lives. This paper focuses on challenges and opportunities in the area of factory automation. It presents the layout and components of the Pilotfabrik Industrie 4.0 of TU Wien as an example of a modern, flexible, and highly digitized smart factory. Furthermore, the paper presents use cases that were implemented based on the available IoPT devices in the Pilotfabrik Industrie 4.0. The first use case aims to improve product quality by detecting chatter – a vibrational phenomenon in machine tools – and taking appropriate countermeasures. The second use case tries to predict tool breakage by closely monitoring the power consumption of the machine tool and, thus, reducing the probability of damaged products.

Research Article

Open Access June 6, 2023

A framework for AI-based self-adaptive cyber-physical process systems

Achim Guldner, Maximilian Hoffmann, Christian Lohr, Rüdiger Machhamer, Lukas Malburg, Marlies Morgen, Stephanie C. Rodermund, Florian Schäfer, Lars Schaupeter, Jens Schneider, Felix Theusch, Ralph Bergmann, Guido Dartmann, Norbert Kuhn, Stefan Naumann, Ingo J. Timm, Matthias Vette-Steinkamp, Benjamin Weyers

Page range: 113-128

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Abstract

Digital transformation is both an opportunity and a challenge. To take advantage of this opportunity for humans and the environment, the transformation process must be understood as a design process that affects almost all areas of life. In this paper, we investigate AI-Based Self-Adaptive Cyber-Physical Process Systems (AI-CPPS) as an extension of the traditional CPS view. As contribution, we present a framework that addresses challenges that arise from recent literature. The aim of the AI-CPPS framework is to enable an adaptive integration of IoT environments with higher-level process-oriented systems. In addition, the framework integrates humans as actors into the system, which is often neglected by recent related approaches. The framework consists of three layers, i.e., processes, semantic modeling, and systems and actors, and we describe for each layer challenges and solution outlines for application. We also address the requirement to enable the integration of new networked devices under the premise of a targeted process that is optimally designed for humans, while profitably integrating AI and IoT. It is expected that AI-CPPS can contribute significantly to increasing sustainability and quality of life and offer solutions to pressing problems such as environmental protection, mobility, or demographic change. Thus, it is all the more important that the systems themselves do not become a driver of resource consumption.

Case Report

June 1, 2023

IoT-enriched event log generation and quality analytics: a case study

Joscha Grüger, Lukas Malburg, Ralph Bergmann

Page range: 128-138

Abstract

Modern technologies such as the Internet of Things (IoT) are becoming increasingly important in various fields, including business process management (BPM) research. An important area of research in BPM is process mining, which can be used to analyze event logs e.g., to check the conformance of running processes. However, the data ingested in IoT environments often contain data quality issues (DQIs) due to system complexity and sensor heterogeneity, among other factors. To date, however, there has been little work on IoT event logs, DQIs occurring in them, and how to handle them. In this case study, we generate an IoT event log, perform a structured data quality analysis, and describe how we addressed the problems we encountered in pre-processing.

Ahead of Print / Just Accepted

Ahead of Print / Just Accepted

Volume 65 (2023)

Volume 64 (2022)

Volume 63 (2021)

Volume 62 (2020)

Volume 61 (2019)

Volume 60 (2018)

Volume 59 (2017)

Volume 58 (2016)

Volume 57 (2015)

Volume 56 (2014)

Volume 55 (2013)

Volume 54 (2012)

Volume 53 (2011)

Volume 52 (2010)

Volume 51 (2009)

Volume 50 (2008)

Volume 49 (2007)

Volume 48 (2006)

Volume 47 (2005)

Volume 46 (2004)

Volume 45 (2003)

Volume 44 (2002)

Volume 43 (2001)

Volume 42 (2000)

Volume 41 (1999)

Volume 40 (1998)

Volume 39 (1997)

Volume 38 (1996)

Volume 37 (1995)

Volume 36 (1994)

Volume 35 (1993)

Volume 34 (1992)

Volume 33 (1991)

Volume 32 (1990)

Volume 31 (1989)

Volume 30 (1988)

Volume 29 (1987)

Volume 28 (1986)

Volume 21 (1979)

Volume 20 (1978)

Issue 1-6

Volume 19 (1977)

Issue 1-6

Volume 18 (1976)

Issue 1-6

Volume 17 (1975)

Issue 1-6

Volume 16 (1974)

Issue 1-6

Volume 15 (1973)

Issue 1-6

Volume 14 (1972)

Issue 1-6

Volume 13 (1971)

Issue 1-6

Volume 12 (1970)

Issue 1-6

Volume 11 (1969)

Issue 1-6

Volume 10 (1968)

Issue 1-6

Volume 9 (1967)

Issue 1-6

Volume 8 (1966)

Issue 1-6

Volume 7 (1965)

Issue 1-6

Volume 6 (1964)

Issue 1-6

Volume 5 (1963)

Issue 1-6

Volume 4 (1962)

Issue 1-6

Volume 3 (1961)

Issue 1-6

Volume 2 (1960)

Issue 1-4

Volume 1 (1959)

Issue 1-4

Journal Impact Factor	0.9	2022, Journal Citation Reports (Clarivate, 2023)
5-year Journal Impact Factor	1.2	2022, Journal Citation Reports (Clarivate, 2023)
Journal Citation Indicator	0.24	2022, Journal Citation Reports (Clarivate, 2023)
CiteScore	3.1	2022, Scopus (Elsevier B.V., 2023)
SCImago Journal Rank	0.289	2022, SJR (Scimago Lab, 2023; Data Source: Scopus)
Source Normalized Impact per Paper	0.454	2022, CWTS Journal Indicators (CWTS B.V., 2023; Data Source: Scopus)

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Editorial

Editors-in-Chief

Prof. Dr. Stefan Conrad, University of Düsseldorf, Germany
Jun.-Prof. Dr. Hubert Mara, University of Halle-Wittenberg, Germany
Prof. Dr. Paul Molitor, University of Halle-Wittenberg, Germany
Prof. Dr. Ricardo Usbeck, University of Hamburg, Germany

Editorial Board

Prof. Dr. Andreas Butz, University of Munich, Germany
Dr. Ulrich Flegel, Infineon Technologies AG, Munich, Germany
Prof. Dr. Görschwin Fey, TU Hamburg, Germany
Prof. Dr. Andreas Herkersdorf, Technical University of Munich, Germany
Prof. Dr. Oliver Keszöcze, University of Erlangen-Nuremberg, Germany
Prof. Dr. Richard Lenz, University of Erlangen-Nuremberg, Germany
Prof. Dr. Paul Müller, University of Kaiserslautern, Germany
Prof. Dr. Ronald Maier, University of Innsbruck, Austria
Prof. Dr. Stefanie Rinderle-Ma, Technical University of Munich, Germany
Prof. Dr. Falk Schreiber, University of Konstanz, Germany
Dr. Martin Semmann, University of Hamburg

Editor of Honour
Prof. Dr. Heinz Zemanek †, Technical University of Vienna, Austria

Editorial Office
Birgit Zoglmeier
Journal Coordinator
ITIT.Editorial@degruyter.com

(Deutsch)

Online ISSN: 2196-7032
Print ISSN: 1611-2776
Type: Journal
Language: English
Publisher: De Gruyter Oldenbourg
First published: June 20, 1959
Publication Frequency: 6 Issues per Year
Audience: Scientists, graduate students, and experts in industrial research and development

it - Information Technology

Methods and Applications of Informatics and Information Technology

Frontmatter

IoPT: internet of processes and things

An IoT architecture to integrate different machine tools into a compound OPC UA interface

Abstract

Design of an IoPT approach to create a cocktail robot station with robotic arm: components, interfaces and control

Abstract

IoPT integration on the factory floor: a case study

Abstract

A framework for AI-based self-adaptive cyber-physical process systems

Abstract

IoT-enriched event log generation and quality analytics: a case study

Abstract

IoT-enriched event log generation and quality analytics: a case study