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A Context and Augmented Reality BPMN and BPMS Extension for Industrial Internet of Things Processes
(2022)
In the context of Industry 4.0, smart factories enable a new level of highly individualized and very efficient production, driven by highly automated processes and connected Industrial Internet of Things (IIoT) devices. Yet the IIoT process context, crucial for operational process enactment, cannot be readily represented in processes as currently modeled. Despite automation progress, manual tasks performed by humans (such as maintenance) remain, and while complicated tasks can be supported by Augmented Reality (AR) devices, they remain insufficiently integrated into global production processes. To seamlessly integrate process automation, IIoT context, and AR, this paper contributes BPMN-CARX, a Context and Augmented Reality eXtension (CARX) for BPMN (Business Process Model and Notation) and the CARX Framework, which enables AR and IIoT context integration with existing Business Process Management Systems (BPMSs). An Industry 4.0 case study demonstrates its feasibility and applicability.
As the amount of software source code increases, manual approaches for documentation or detection of software design patterns in source code become inefficient relative to the value. Furthermore, typical automatic pattern detection tools are limited to a single programming language. To address this, our Design Pattern Detection using Machine Learning (DPDML) offers a generalized and programming language agnostic approach for automated design pattern detection based on machine learning (ML). The focus of our evaluation was on ensuring DPDML can reasonably detect one design pattern in the structural, creational, and behavioral category for two popular programming languages (Java and C#). 60 unique Java and C# code projects were used to train the artificial neural network (ANN) and 15 projects were then used to test pattern detection. The results show the feasibility and potential for pursuing an ANN approach for automated design pattern detection.
A Systematic Literature Review of Medical Chatbot Research from a Behavior Change Perspective
(2020)
A Systemtic Literature Review of Practical Virtual and Augmented Reality Solutions in Surgery
(2020)
Adoption of Artificial Intelligence Technologies in German SMEs – Results from an Empirical Study
(2021)
Adoption of artificial intelligence technologies in German SMEs — Results from an empirical study
(2021)
Adoption of Digital Technologies in Management Accounting – an Empirical Study of German SMEs
(2021)
Can one 3D print a laser?
(2020)
Cluster-clean-label: an interactive machine learning approach for labeling high-dimensional data
(2020)
With the advent of modern communication media over the last decades, such as email, video conferencing, or instant messaging, a plethora of research has emerged that analyzes the association between communication media and negotiation processes and outcomes. This chapter reviews theoretical vantage points on communication media and negotiation and summarizes empirical findings from the last five decades. Specifically, the author focuses on media richness theory and the task/media fit hypothesis, grounding in communication, and media synchronicity theory as communication theoretical foundations that found traction in negotiation research. These theoretical vantage points are supplemented by a review of specific theoretical psychological aspects of communication media, the barrier effect and psychological distance theory. In the second part of the chapter, empirical evidence on communication media and negotiation is presented, derived from an extensive literature search of relevant peer-reviewed articles. The emphasis in this review of the empirical literature is on the communication medium as an independent variable. In other words, the author analyzes effects of communication media on the negotiation process (descriptive process parameters, economic reference points, negotiation behavior/tactics, individual psychological variables, assessment of the opponent) as well as economic (agreement, individual profit, joint profit, equality of agreement) and socio-emotional (satisfaction, future interaction, trust) outcomes. A succeeding subsection is devoted to communication medium choice in negotiation, a topic much less researched. The conclusion sums up the findings and sketches out some avenues for future research.
Comparison of deep learning methods for image deblurring on light optical materials microscopy data
(2021)
Cyber security in family businesses - empirical assessments from the perspective of German SMEs
(2020)
DEKXTROSE: An Education 4.0 Mobile Learning Approach and Object-Aware App Based on a Knowledge Nexus
(2020)
The exponential growth in knowledge coupled with the decreasing knowledge half-life creates a challenging situation for educational programs - particularly those preparing software engineers for their very dynamic high-technology field. Teachers in high technology education areas are challenged in selecting and making relevant knowledge intuitively accessible to students, especially with regard the highly dynamic digital and software technologies. This paper contributes a knowledge nexus-based multimedia approach aligned with Higher Education 4.0 for creating learning apps on mobile devices that support multiple didactic models, leverage intrinsic curiosity and motivation, support gamification, and enable digital collaboration. Object recognition is used to trigger learning paths, and various didactic methods are supported via workflow-like learning flows to support group or team-based learning. A prototype app was realized to demonstrate its feasibility and an empirical evaluation in software engineering shows the didactic potential and advantages of the approach, which can be readily generalized and applied to the arts, sciences, etc.
DEKXTROSE: An Education 4.0 Mobile Learning Approach and Object-Aware App Based on a Knowledge Nexus
(2020)
The exponential growth in knowledge coupled with the decreasing knowledge half-life creates a challenging situation for educational programs - particularly those preparing software engineers for their very dynamic high-technology field. Teachers in high technology education areas are challenged in selecting and making relevant knowledge intuitively accessible to students, especially with regard the highly dynamic digital and software technologies. This paper contributes a knowledge nexus-based multimedia approach aligned with Higher Education 4.0 for creating learning apps on mobile devices that support multiple didactic models, leverage intrinsic curiosity and motivation, support gamification, and enable digital collaboration. Object recognition is used to trigger learning paths, and various didactic methods are supported via workflow-like learning flows to support group or team-based learning. A prototype app was realized to demonstrate its feasibility and an empirical evaluation in software engineering shows the didactic potential and advantages of the approach, which can be readily generalized and applied to the arts, sciences, etc.
Design and Implementation of a Plug-In Repetitive Controller for a High Precision Axis System
(2021)
Design Intelligence - Pitfalls and Challenges When Designing AI Algorithms in B2B Factory Automation
(2020)
Software design patterns and the abstractions they offer can support developers and maintainers with program code comprehension. Yet manually-created pattern documentation within code or code-related assets, such as documents or models, can be unreliable, incomplete, and labor-intensive. While various Design Pattern Detection (DPD) techniques have been proposed, industrial adoption of automated DPD remains limited. This paper contributes a hybrid DPD solution approach that leverages a Bayesian network integrating developer expertise via rule-based micropatterns with our machine learning subsystem that utilizes graph embeddings. The prototype shows its feasibility, and the evaluation using three design patterns shows its potential for detecting both design patterns and variations.