8 research outputs found
Robotchain: Using Tezos Technology for Robot Event Management
Robots are important equipment in the modern day factory environment. To maintain and improve factory productivity, ledgers containing robotic actions may be used to identify possible bottleneck points in an assembly line or to serve as a record of in unintentional behaviours, be it of a malicious nature or not. In this paper we present Robotchain, a possible solution using blockchain technology, that prevents unwanted changes in a robotic action ledger and provides a way to use the said ledger in order to aid in production efficiency or other management requirements. This paper also presents an initial experimental study of the Tezos blockchain in order to understand the challenges related to using its advanced blockchain technology for the Robotchain implementation
Machine Learning und Complex Event Processing: Effiziente Echtzeitauswertung am Beispiel Smart Factory
Durch die Verbindung zwischen physischen Maschinenteilen unddigitalen Services werden mit Cyber-physischen Systemen in Smart Factoriesviele datenbasierte Optimierungen möglich. Ein wichtiger Bestandteil diesersogenannten Smart Factories kann die Technologie Complex Event Processing(CEP) sein. CEP erlaubt Echtzeitauswertungen komplexer Events, i. S. v.kombinierten Datenwerten aus unterschiedlichen Quellen. Damit können u. a.anomale Prozessabläufe identifiziert und lokalisiert werden. Eine aktuelleBeschränkung der Wirkungsfähigkeit ist die hauptsächlich deklarative undreaktive Implementierung von CEP. Eine Erweiterung um Ansätze aus demMachine Learning (ML) ist daher vielversprechend. Es fehlt jedoch an eineraktuellen Übersicht zu Verbindungen von CEP und ML innerhalb der Forschungsowie deren Transferfähigkeit auf Smart Factories. Unser Beitrag liefert (1) eineSynthese der bislang erforschten CEP-ML-Kombinationen, wobei sichSupervised Learning als überwiegender Kombinationsansatz zeigt, und (2) eineÜbertragung der Potenziale für die Verwendung in Smart Factories. Hier zeigtensich reaktive Maßnahmen als bisheriger Forschungsschwerpunkt
Robot Events using Tezos Technology
Robots are important equipment in the modern day factory environment. To maintain and improve factory productivity, ledgers containing robotic actions may be used to identify possible
bottleneck points in a assembly line or to serve as a record of in unintentional behaviours, be
it of a malicious nature or not. Blockchains are a type of secure ledger, that prevent unwanted
changes. These blockchains, during their lifetimes, record large amounts of data, that in a
common usage its kept on its entirety. This dissertation presents RobotChain, a possible solution using blockchain technology that prevents unwanted changes in a robotic action ledger,
and provides a way to use the said ledger in order to aid in production efficiency or other
management requirements, and presents a time-segmentation solution for devices with limited
storage capacity, integrated in RobotChain. It also presents various experiments related to the
performance of Tezos blockchain network with the various modifications.A robótica é um fator importante do dia-a-dia de uma fábrica moderna. Como tal, é importante
manter estes robots a funcionar com o melhor desempenho possível e para fazer isto, uma forma
é a utilização dos registos dos próprios robots de forma a identificar falhas ou comportamentos
não intencionais sejam eles de natureza maliciosa ou não. As Blockchains são um tipo de base
de dados eletrónica que previne a modificação de registos já inseridos. Esta tecnologia é interessante no contexto industrial a fim de prevenir alterações dos registos de robôs, sejam estas
alterações não intencionais ou alterações maliciosas.
Nesta dissertação é criada a RobotChain, uma blockchain para trabalhar com robots industriais,
assente na blockchain Tezos. É apresentada também uma técnica de segmentação temporal
de uma blockchain a fim de se poder fazer uso de dispositivos de computação mais fracos,
com armazenamento mais limitado, de forma eficiente. Estes dispositivos de computação,
referidos como compute devices, são módulos utilizados para fazer interface entre os robôs
e a blockchain, evitando percas de desempenho dos robôs com a execução do novo programa
associado, e, servem para tornar uniforme a informação enviada para a rede. É considerada
também a existência de nodos de armazenamento, denominados cold storage nodes onde é
guardada informação completa da rede, nodos de pedidos, query nodes, nodos que fazem interface entre operadores humanos e a blockchain, permitindo o acesso a informação contida nesta
e nodos oráculos, nodos que interagem com a rede a partir de contratos inteligentes.
São apresentados também resultados experimentais resultantes das varias alterações feitas à
blockchain, assim como a funcionalidade de segmentação temporal
Data mining for fault diagnosis in steel making process under industry 4.0
The concept of Industry 4.0 (I4.0) refers to the intelligent networking of machines and
processes in the industry, which is enabled by cyber-physical systems (CPS) - a
technology that utilises embedded networked systems to achieve intelligent control.
CPS enable full traceability of production processes as well as comprehensive data
assignments in real-time. Through real-time communication and coordination between
"manufacturing things", production systems, in the form of Cyber-Physical Production
Systems (CPPS), can make intelligent decisions. Meanwhile, with the advent of I4.0,
it is possible to collect heterogeneous manufacturing data across various facets for
fault diagnosis by using the industrial internet of things (IIoT) techniques. Under this
data-rich environment, the ability to diagnose and predict production failures provides
manufacturing companies with a strategic advantage by reducing the number of
unplanned production outages. This advantage is particularly desired for steel-making
industries. As a consecutive and compact manufacturing process, process downtime is
a major concern for steel-making companies since most of the operations should be
conducted within a certain temperature range. In addition, steel-making consists of
complex processes that involve physical, chemical, and mechanical elements,
emphasising the necessity for data-driven approaches to handle high-dimensionality
problems.
For a modern steel-making plant, various measurement devices are deployed
throughout this manufacturing process with the advancement of I4.0 technologies,
which facilitate data acquisition and storage. However, even though data-driven
approaches are showing merits and being widely applied in the manufacturing context,
how to build a deep learning model for fault prediction in the steel-making process
considering multiple contributing facets and its temporal characteristic has not been
investigated. Additionally, apart from the multitudinous data, it is also worthwhile to
study how to represent and utilise the vast and scattered distributed domain knowledge
along the steel-making process for fault modelling. Moreover, state-of-the-art does not
iv Abstract
address how such accumulated domain knowledge and its semantics can be harnessed
to facilitate the fusion of multi-sourced data in steel manufacturing. In this case, the
purpose of this thesis is to pave the way for fault diagnosis in steel-making processes
using data mining under I4.0.
This research is structured according to four themes. Firstly, different from the
conventional data-driven research that only focuses on modelling based on numerical
production data, a framework for data mining for fault diagnosis in steel-making based
on multi-sourced data and knowledge is proposed. There are five layers designed in
this framework, which are multi-sourced data and knowledge acquisition, data and
knowledge processing, KG construction and graphical data transformation, KG-aided
modelling for fault diagnosis and decision support for steel manufacturing.
Secondly, another of the purposes of this thesis is to propose a predictive, data-driven
approach to model severe faults in the steel-making process, where the faults are
usually with multi-faceted causes. Specifically, strip breakage in cold rolling is
selected as the modelling target since it is a typical production failure with serious
consequences and multitudinous factors contributing to it. In actual steel-making
practice, if such a failure can be modelled on a micro-level with an adequately
predicted window, a planned stop action can be taken in advance instead of a passive
fast stop which will often result in severe damage to equipment. In this case, a multifaceted modelling approach with a sliding window strategy is proposed. First,
historical multivariate time-series data of a cold rolling process were extracted in a
run-to-failure manner, and a sliding window strategy was adopted for data annotation.
Second, breakage-centric features were identified from physics-based approaches,
empirical knowledge and data-driven features. Finally, these features were used as
inputs for strip breakage modelling using a Recurrent Neural Network (RNN).
Experimental results have demonstrated the merits of the proposed approach.
Thirdly, among the heterogeneous data surrounding multi-faceted concepts in steelmaking, a significant amount of data consists of rich semantic information, such as
technical documents and production logs generated through the process. Also, there
Abstract v
exists vast domain knowledge regarding the production failures in steel-making, which
has a long history. In this context, proper semantic technologies are desired for the
utilisation of semantic data and domain knowledge in steel-making. In recent studies,
a Knowledge Graph (KG) displays a powerful expressive ability and a high degree of
modelling flexibility, making it a promising semantic network. However, building a
reliable KG is usually time-consuming and labour-intensive, and it is common that KG
needs to be refined or completed before using in industrial scenarios. In this case, a
fault-centric KG construction approach is proposed based on a hierarchy structure
refinement and relation completion. Firstly, ontology design based on hierarchy
structure refinement is conducted to improve reliability. Then, the missing relations
between each couple of entities were inferred based on existing knowledge in KG,
with the aim of increasing the number of edges that complete and refine KG. Lastly,
KG is constructed by importing data into the ontology. An illustrative case study on
strip breakage is conducted for validation.
Finally, multi-faceted modelling is often conducted based on multi-sourced data
covering indispensable aspects, and information fusion is typically applied to cope
with the high dimensionality and data heterogeneity. Besides the ability for knowledge
management and sharing, KG can aggregate the relationships of features from multiple
aspects by semantic associations, which can be exploited to facilitate the information
fusion for multi-faceted modelling with the consideration of intra-facets relationships.
In this case, process data is transformed into a stack of temporal graphs under the faultcentric KG backbone. Then, a Graph Convolutional Networks (GCN) model is applied
to extract temporal and attribute correlation features from the graphs, with a Temporal
Convolution Network (TCN) to conduct conceptual modelling using these features.
Experimental results derived using the proposed approach, and GCN-TCN reveal the
impacts of the proposed KG-aided fusion approach.
This thesis aims to research data mining in steel-making processes based on multisourced data and scattered distributed domain knowledge, which provides a feasibility
study for achieving Industry 4.0 in steel-making, specifically in support of improving
quality and reducing costs due to production failures
Human Practice. Digital Ecologies. Our Future. : 14. Internationale Tagung Wirtschaftsinformatik (WI 2019) : Tagungsband
Erschienen bei: universi - Universitätsverlag Siegen. - ISBN: 978-3-96182-063-4Aus dem Inhalt:
Track 1: Produktion & Cyber-Physische Systeme
Requirements and a Meta Model for Exchanging Additive Manufacturing Capacities
Service Systems, Smart Service Systems and Cyber- Physical Systems—What’s the difference? Towards a Unified Terminology
Developing an Industrial IoT Platform – Trade-off between Horizontal and Vertical Approaches
Machine Learning und Complex Event Processing: Effiziente Echtzeitauswertung am Beispiel Smart Factory
Sensor retrofit for a coffee machine as condition monitoring and predictive maintenance use case
Stakeholder-Analyse zum Einsatz IIoT-basierter Frischeinformationen in der Lebensmittelindustrie
Towards a Framework for Predictive Maintenance Strategies in Mechanical Engineering - A Method-Oriented Literature Analysis
Development of a matching platform for the requirement-oriented selection of cyber physical systems for SMEs
Track 2: Logistic Analytics
An Empirical Study of Customers’ Behavioral Intention to Use Ridepooling Services – An Extension of the Technology Acceptance Model
Modeling Delay Propagation and Transmission in Railway Networks
What is the impact of company specific adjustments on the acceptance and diffusion of logistic standards?
Robust Route Planning in Intermodal Urban Traffic
Track 3: Unternehmensmodellierung & Informationssystemgestaltung (Enterprise Modelling & Information Systems Design)
Work System Modeling Method with Different Levels of Specificity and Rigor for Different Stakeholder Purposes
Resolving Inconsistencies in Declarative Process Models based on Culpability Measurement
Strategic Analysis in the Realm of Enterprise Modeling – On the Example of Blockchain-Based Initiatives for the Electricity Sector
Zwischenbetriebliche Integration in der Möbelbranche: Konfigurationen und Einflussfaktoren
Novices’ Quality Perceptions and the Acceptance of Process Modeling Grammars
Entwicklung einer Definition für Social Business Objects (SBO) zur Modellierung von Unternehmensinformationen
Designing a Reference Model for Digital Product Configurators
Terminology for Evolving Design Artifacts
Business Role-Object Specification: A Language for Behavior-aware Structural Modeling of Business Objects
Generating Smart Glasses-based Information Systems with BPMN4SGA: A BPMN Extension for Smart Glasses Applications
Using Blockchain in Peer-to-Peer Carsharing to Build Trust in the Sharing Economy
Testing in Big Data: An Architecture Pattern for a Development Environment for Innovative, Integrated and Robust Applications
Track 4: Lern- und Wissensmanagement (e-Learning and Knowledge Management)
eGovernment Competences revisited – A Literature Review on necessary Competences in a Digitalized Public Sector
Say Hello to Your New Automated Tutor – A Structured Literature Review on Pedagogical Conversational Agents
Teaching the Digital Transformation of Business Processes: Design of a Simulation Game for Information Systems Education
Conceptualizing Immersion for Individual Learning in Virtual Reality
Designing a Flipped Classroom Course – a Process Model
The Influence of Risk-Taking on Knowledge Exchange and Combination
Gamified Feedback durch Avatare im Mobile Learning
Alexa, Can You Help Me Solve That Problem? - Understanding the Value of Smart Personal Assistants as Tutors for Complex Problem Tasks
Track 5: Data Science & Business Analytics
Matching with Bundle Preferences: Tradeoff between Fairness and Truthfulness
Applied image recognition: guidelines for using deep learning models in practice
Yield Prognosis for the Agrarian Management of Vineyards using Deep Learning for Object Counting
Reading Between the Lines of Qualitative Data – How to Detect Hidden Structure Based on Codes
Online Auctions with Dual-Threshold Algorithms: An Experimental Study and Practical Evaluation
Design Features of Non-Financial Reward Programs for Online Reviews: Evaluation based on Google Maps Data
Topic Embeddings – A New Approach to Classify Very Short Documents Based on Predefined Topics
Leveraging Unstructured Image Data for Product Quality Improvement
Decision Support for Real Estate Investors: Improving Real Estate Valuation with 3D City Models and Points of Interest
Knowledge Discovery from CVs: A Topic Modeling Procedure
Online Product Descriptions – Boost for your Sales?
Entscheidungsunterstützung durch historienbasierte Dienstreihenfolgeplanung mit Pattern
A Semi-Automated Approach for Generating Online Review Templates
Machine Learning goes Measure Management: Leveraging Anomaly Detection and Parts Search to Improve Product-Cost Optimization
Bedeutung von Predictive Analytics für den theoretischen Erkenntnisgewinn in der IS-Forschung
Track 6: Digitale Transformation und Dienstleistungen
Heuristic Theorizing in Software Development: Deriving Design Principles for Smart Glasses-based Systems
Mirroring E-service for Brick and Mortar Retail: An Assessment and Survey
Taxonomy of Digital Platforms: A Platform Architecture Perspective
Value of Star Players in the Digital Age
Local Shopping Platforms – Harnessing Locational Advantages for the Digital Transformation of Local Retail Outlets: A Content Analysis
A Socio-Technical Approach to Manage Analytics-as-a-Service – Results of an Action Design Research Project
Characterizing Approaches to Digital Transformation: Development of a Taxonomy of Digital Units
Expectations vs. Reality – Benefits of Smart Services in the Field of Tension between Industry and Science
Innovation Networks and Digital Innovation: How Organizations Use Innovation Networks in a Digitized Environment
Characterising Social Reading Platforms— A Taxonomy-Based Approach to Structure the Field
Less Complex than Expected – What Really Drives IT Consulting Value
Modularity Canvas – A Framework for Visualizing Potentials of Service Modularity
Towards a Conceptualization of Capabilities for Innovating Business Models in the Industrial Internet of Things
A Taxonomy of Barriers to Digital Transformation
Ambidexterity in Service Innovation Research: A Systematic Literature Review
Design and success factors of an online solution for cross-pillar pension information
Track 7: IT-Management und -Strategie
A Frugal Support Structure for New Software Implementations in SMEs
How to Structure a Company-wide Adoption of Big Data Analytics
The Changing Roles of Innovation Actors and Organizational Antecedents in the Digital Age
Bewertung des Kundennutzens von Chatbots für den Einsatz im Servicedesk
Understanding the Benefits of Agile Software Development in Regulated Environments
Are Employees Following the Rules? On the Effectiveness of IT Consumerization Policies
Agile and Attached: The Impact of Agile Practices on Agile Team Members’ Affective Organisational Commitment
The Complexity Trap – Limits of IT Flexibility for Supporting Organizational Agility in Decentralized Organizations
Platform Openness: A Systematic Literature Review and Avenues for Future Research
Competence, Fashion and the Case of Blockchain
The Digital Platform Otto.de: A Case Study of Growth, Complexity, and Generativity
Track 8: eHealth & alternde Gesellschaft
Security and Privacy of Personal Health Records in Cloud Computing Environments – An Experimental Exploration of the Impact of Storage Solutions and Data Breaches
Patientenintegration durch Pfadsysteme
Digitalisierung in der Stressprävention – eine qualitative Interviewstudie zu Nutzenpotenzialen
User Dynamics in Mental Health Forums – A Sentiment Analysis Perspective
Intent and the Use of Wearables in the Workplace – A Model Development
Understanding Patient Pathways in the Context of Integrated Health Care Services - Implications from a Scoping Review
Understanding the Habitual Use of Wearable Activity Trackers
On the Fit in Fitness Apps: Studying the Interaction of Motivational Affordances and Users’ Goal Orientations in Affecting the Benefits Gained
Gamification in Health Behavior Change Support Systems - A Synthesis of Unintended Side Effects
Investigating the Influence of Information Incongruity on Trust-Relations within Trilateral Healthcare Settings
Track 9: Krisen- und Kontinuitätsmanagement
Potentiale von IKT beim Ausfall kritischer Infrastrukturen: Erwartungen, Informationsgewinnung und Mediennutzung der Zivilbevölkerung in Deutschland
Fake News Perception in Germany: A Representative Study of People’s Attitudes and Approaches to Counteract Disinformation
Analyzing the Potential of Graphical Building Information for Fire Emergency Responses: Findings from a Controlled Experiment
Track 10: Human-Computer Interaction
Towards a Taxonomy of Platforms for Conversational Agent Design
Measuring Service Encounter Satisfaction with Customer Service Chatbots using Sentiment Analysis
Self-Tracking and Gamification: Analyzing the Interplay of Motivations, Usage and Motivation Fulfillment
Erfolgsfaktoren von Augmented-Reality-Applikationen: Analyse von Nutzerrezensionen mit dem Review-Mining-Verfahren
Designing Dynamic Decision Support for Electronic Requirements Negotiations
Who is Stressed by Using ICTs? A Qualitative Comparison Analysis with the Big Five Personality Traits to Understand Technostress
Walking the Middle Path: How Medium Trade-Off Exposure Leads to Higher Consumer Satisfaction in Recommender Agents
Theory-Based Affordances of Utilitarian, Hedonic and Dual-Purposed Technologies: A Literature Review
Eliciting Customer Preferences for Shopping Companion Apps: A Service Quality Approach
The Role of Early User Participation in Discovering Software – A Case Study from the Context of Smart Glasses
The Fluidity of the Self-Concept as a Framework to Explain the Motivation to Play Video Games
Heart over Heels? An Empirical Analysis of the Relationship between Emotions and Review Helpfulness for Experience and Credence Goods
Track 11: Information Security and Information Privacy
Unfolding Concerns about Augmented Reality Technologies: A Qualitative Analysis of User Perceptions
To (Psychologically) Own Data is to Protect Data: How Psychological Ownership Determines Protective Behavior in a Work and Private Context
Understanding Data Protection Regulations from a Data Management Perspective: A Capability-Based Approach to EU-GDPR
On the Difficulties of Incentivizing Online Privacy through Transparency: A Qualitative Survey of the German Health Insurance Market
What is Your Selfie Worth? A Field Study on Individuals’ Valuation of Personal Data
Justification of Mass Surveillance: A Quantitative Study
An Exploratory Study of Risk Perception for Data Disclosure to a Network of Firms
Track 12: Umweltinformatik und nachhaltiges Wirtschaften
Kommunikationsfäden im Nadelöhr – Fachliche Prozessmodellierung der Nachhaltigkeitskommunikation am Kapitalmarkt
Potentiale und Herausforderungen der Materialflusskostenrechnung
Computing Incentives for User-Based Relocation in Carsharing
Sustainability’s Coming Home: Preliminary Design Principles for the Sustainable Smart District
Substitution of hazardous chemical substances using Deep Learning and t-SNE
A Hierarchy of DSMLs in Support of Product Life-Cycle Assessment
A Survey of Smart Energy Services for Private Households
Door-to-Door Mobility Integrators as Keystone Organizations of Smart Ecosystems: Resources and Value Co-Creation – A Literature Review
Ein Entscheidungsunterstützungssystem zur ökonomischen Bewertung von Mieterstrom auf Basis der Clusteranalyse
Discovering Blockchain for Sustainable Product-Service Systems to enhance the Circular Economy
Digitale Rückverfolgbarkeit von Lebensmitteln: Eine verbraucherinformatische Studie
Umweltbewusstsein durch audiovisuelles Content Marketing? Eine experimentelle Untersuchung zur Konsumentenbewertung nachhaltiger Smartphones
Towards Predictive Energy Management in Information Systems: A Research Proposal
A Web Browser-Based Application for Processing and Analyzing Material Flow Models using the MFCA Methodology
Track 13: Digital Work - Social, mobile, smart
On Conversational Agents in Information Systems Research: Analyzing the Past to Guide Future Work
The Potential of Augmented Reality for Improving Occupational First Aid
Prevent a Vicious Circle! The Role of Organizational IT-Capability in Attracting IT-affine Applicants
Good, Bad, or Both? Conceptualization and Measurement of Ambivalent User Attitudes Towards AI
A Case Study on Cross-Hierarchical Communication in Digital Work Environments
‘Show Me Your People Skills’ - Employing CEO Branding for Corporate Reputation Management in Social Media
A Multiorganisational Study of the Drivers and Barriers of Enterprise Collaboration Systems-Enabled Change
The More the Merrier? The Effect of Size of Core Team Subgroups on Success of Open Source Projects
The Impact of Anthropomorphic and Functional Chatbot Design Features in Enterprise Collaboration Systems on User Acceptance
Digital Feedback for Digital Work? Affordances and Constraints of a Feedback App at InsurCorp
The Effect of Marker-less Augmented Reality on Task and Learning Performance
Antecedents for Cyberloafing – A Literature Review
Internal Crowd Work as a Source of Empowerment - An Empirical Analysis of the Perception of Employees in a Crowdtesting Project
Track 14: Geschäftsmodelle und digitales Unternehmertum
Dividing the ICO Jungle: Extracting and Evaluating Design Archetypes
Capturing Value from Data: Exploring Factors Influencing Revenue Model Design for Data-Driven Services
Understanding the Role of Data for Innovating Business Models: A System Dynamics Perspective
Business Model Innovation and Stakeholder: Exploring Mechanisms and Outcomes of Value Creation and Destruction
Business Models for Internet of Things Platforms: Empirical Development of a Taxonomy and Archetypes
Revitalizing established Industrial Companies: State of the Art and Success Principles of Digital Corporate Incubators
When 1+1 is Greater than 2: Concurrence of Additional Digital and Established Business Models within Companies
Special Track 1: Student Track
Investigating Personalized Price Discrimination of Textile-, Electronics- and General Stores in German Online Retail
From Facets to a Universal Definition – An Analysis of IoT Usage in Retail
Is the Technostress Creators Inventory Still an Up-To-Date Measurement Instrument? Results of a Large-Scale Interview Study
Application of Media Synchronicity Theory to Creative Tasks in Virtual Teams Using the Example of Design Thinking
TrustyTweet: An Indicator-based Browser-Plugin to Assist Users in Dealing with Fake News on Twitter
Application of Process Mining Techniques to Support Maintenance-Related Objectives
How Voice Can Change Customer Satisfaction: A Comparative Analysis between E-Commerce and Voice Commerce
Business Process Compliance and Blockchain: How Does the Ethereum Blockchain Address Challenges of Business Process Compliance?
Improving Business Model Configuration through a Question-based Approach
The Influence of Situational Factors and Gamification on Intrinsic Motivation and Learning
Evaluation von ITSM-Tools für Integration und Management von Cloud-Diensten am Beispiel von ServiceNow
How Software Promotes the Integration of Sustainability in Business Process Management
Criteria Catalog for Industrial IoT Platforms from the Perspective of the Machine Tool Industry
Special Track 3: Demos & Prototyping
Privacy-friendly User Location Tracking with Smart Devices: The BeaT Prototype
Application-oriented robotics in nursing homes
Augmented Reality for Set-up Processe
Mixed Reality for supporting Remote-Meetings
Gamification zur Motivationssteigerung von Werkern bei der Betriebsdatenerfassung
Automatically Extracting and Analyzing Customer Needs from Twitter: A “Needmining” Prototype
GaNEsHA: Opportunities for Sustainable Transportation in Smart Cities
TUCANA: A platform for using local processing power of edge devices for building data-driven services
Demonstrator zur Beschreibung und Visualisierung einer kritischen Infrastruktur
Entwicklung einer alltagsnahen persuasiven App zur Bewegungsmotivation für ältere Nutzerinnen und Nutzer
A browser-based modeling tool for studying the learning of conceptual modeling based on a multi-modal data collection approach
Exergames & Dementia: An interactive System for People with Dementia and their Care-Network
Workshops
Workshop Ethics and Morality in Business Informatics (Workshop Ethik und Moral in der Wirtschaftsinformatik – EMoWI’19)
Model-Based Compliance in Information Systems - Foundations, Case Description and Data Set of the MobIS-Challenge for Students and Doctoral Candidates
Report of the Workshop on Concepts and Methods of Identifying Digital Potentials in Information Management
Control of Systemic Risks in Global Networks - A Grand Challenge to Information Systems Research
Die Mitarbeiter von morgen - Kompetenzen künftiger Mitarbeiter im Bereich Business Analytics
Digitaler Konsum: Herausforderungen und Chancen der Verbraucherinformati
Online Monitoring of Manufacturing Process Based on autoCEP
Complex Event Processing (CEP), which can identify patterns of interest from a large number of continuous data steam, is becoming more and more popular in manufacturing process monitoring. CEP rules are specified manually by domain expert, which is a limiting factor for its application in manufacturing enterprises. How to analysis historical data and automatically generate CEP rules is becoming a challenge research. This paper proposed a model of autoCEP for online monitoring in product manufacturing, which can automatically generate CEP rules based on association rules mining in key processes. First, the key quality factors in manufacturing process were extracted by grey entropy correlation analysis. Then, association rules mining method based on product process constraints was used to find the association rules between key factors and product quality. At last, the extracted rules are algorithmically transformed into CEP rules. The experimental results show the effectiveness and practicability of the proposed method