• ResearchGate
  • Twitter
  • LinkedIn
  • Instagram
  • Facebook
  • Youtube
  • Rss
Human-Computer Interaction & Visual Analyitics Reasearch Group (vis) at Darmstadt University of Applied Sciences (h_da)
  • Home
  • Research
    • Research Fields
    • Application Scenarios
    • Projects
    • Publications
  • Publications
  • Technologies
    • Scitics Trend Analytics Technology
    • SmartEval Evaluation Technology
    • Services
  • Teaching
    • Lectures
    • Practical Courses
    • Bachelor & Master Theses
  • Team
    • Offerings
    • Contact
  • Network
  • Search
  • Menu Menu
You are here: Home1 / Decision Making

Posts

Accepted Paper at International Conference on Industry 4.0 and Smart Manufacturing

30/09/2020/in Allgemein, Conference, h_da /by Kawa Nazemi

Over the past few years, the growing and intensive development of information technology in the manufacturing industry has led to a significant change in the methods and tools supporting the factories of the future. The hot topics around Industry 4.0 and smart manufacturing aim at the digital and organizational transformation of traditional factories and industrial systems as well as several other sectors. The International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020) provides the perfect setting and a unique opportunity for knowledge exchange, the review and discussion of theoretical advances, research results, and industrial experiences, among scientists, researchers, decision makers, practitioners and students.

Paper: CONTEXT: An Industry 4.0 Dataset of Contextual Faults in a Smart Factory

Abstract:
Cyber-physical systems in smart factories get more and more integrated and interconnected. Industry 4.0 accelerates this trend even further. Through the broad interconnectivity a new class of faults arise, the contextual faults, where contextual knowledge is needed to find the underlying reason. Fully-automated systems and the production line in a smart factory form a complex environment making the fault diagnosis non-trivial. Along with the dataset, we give a first definition of contextual faults in the smart factory and name initial use cases. Additionally, the dataset encompasses all the data recorded in a current state-of-the-art smart factory. We also add additional information measured by our developed sensing units to enrich the smart factory data even further. In the end, we show a first approach to detect the contextual faults in a manual preliminary analysis of the recorded log data.

Link to Paper: https://doi.org/10.1016/j.procs.2021.01.265

 

The whole proceedings of the ISM 2020 are available under: Elsevier.

https://vis.h-da.de/wp-content/uploads/2020/09/ISM.png 434 1034 Kawa Nazemi https://vis.h-da.de/wp-content/uploads/2019/10/LG0_vis_RG_light_Blue_huge_cutted-300x145.png Kawa Nazemi2020-09-30 16:45:392021-02-23 10:44:00Accepted Paper at International Conference on Industry 4.0 and Smart Manufacturing

Events

Major Cities of Europe Web Seminar toward Digital Ethics, Humanism and Research – Laying the Foundation for Rethinking Cities

09/09/2020/in EuroStraNet, Event, VisCOST, Workshop, Workshop /by Dirk Burkhardt

We are glad to announce that we get the chance to present our intended action of a collaborative European research action in Europe at the upcoming web seminar “Digital Ethics, Humanism and Research, laying the foundation for Rethinking Cities” of the Major Cities of Europe. The title of our project proposal and contribution to the web seminar will be “Research action call for proposals: Visual Trend Analytics for the Society” and is planned in frames of a European research-action.

Under our coordination of our group and in collaboration with other associated organisations MCE is cooperating as responsible for dissemination to the submission of a proposal for a european research-action. The frame should be the European Network for Cooperation in Science and Technology. It provides networking opportunities for researchers and innovators to strengthen Europe’s capacity to address scientific, technological, and societal challenges. Our proposal will be focused on Analytical Reasoning by applying machine learning approaches, artificial intelligence, natural language processing and visualizations to allow to get deep insights into the different domains of various stakeholders and enable to solve complex tasks. The main outcome of the action for municipalities will be the identification of current challenges that require analytical reasoning and providing technological solutions for these by the research-action technological partners. The current institutions that are interested in this action are listed on: https://vis.h-da.de/network.html.

https://vis.h-da.de/wp-content/uploads/2020/07/Event-COST_action.png 319 570 Dirk Burkhardt https://vis.h-da.de/wp-content/uploads/2019/10/LG0_vis_RG_light_Blue_huge_cutted-300x145.png Dirk Burkhardt2020-09-09 14:00:002020-09-09 17:08:09Major Cities of Europe Web Seminar toward Digital Ethics, Humanism and Research – Laying the Foundation for Rethinking Cities

Thesis Presentation: Contrasted Data from Science and Web for Advanced Visual Trend Analytics

26/08/2019/in Scitics, Thesis /by Dirk Burkhardt
Where: TU Darmstadt / GRIS, Fraunhoferstr. 5, Room 073 Who: Rehman Ahmed Abdul (Author), Prof. Dr. Arjan Kuijper (Supervisor), Dipl.-Inf. Dirk Burkhardt (Advisor/Co-Supervisor) What: Master Thesis – “Contrasted Data from Science and Web for Advanced Visual Trend Analytics” Abstract: With more publicly accessible digital libraries accessible, a plethora of digital research data is now available for gaining insights into actual and upcoming technology trends. These trends are essential to researchers, business analysts, and decision-makers for making strategic decisions and setting strategic goals. Appropriate processing and graphical analysis methods are required in order to extract meaningful information from the data. In particular, the combination of data mining approaches together with visual analytics leads to real beneficial applications to support decision making in e.g. innovation or technology management. The data from digital libraries is only limited to research and overlooks the market aspects e.g if the trend is not important for key business players, it is irrelevant for the market. This importance of market aspects creates a demand for validation approaches based on market data. Most of the current market data can be found publically on websites and social networks, e.g. as news from enterprises or on tech review sites or on tech blogs. Therefore, it makes sense to consider this public and social media data as contrasting data to the research digital library data that can be used to validate technology trends. The goal of this thesis is to enable trend analysis on public and social web data and compare it with retrieved trends based on research library data to enable validation of trends. To achieve this goal a model is proposed that acquires public/social web and digital library data based on user-defined scope called a “campaign”, which is then visually transformed from raw data into interactive visualizations passing through different stages of data management, enrichment, transformation, and visual mapping. These interactive visualizations can either be used in insight analysis to gain trend insights for an individual data source or they can be used in comparative analysis with the goal of validating trends from two contrasting data sources.
https://vis.h-da.de/wp-content/uploads/2019/08/Teaching.jpg 900 1350 Dirk Burkhardt https://vis.h-da.de/wp-content/uploads/2019/10/LG0_vis_RG_light_Blue_huge_cutted-300x145.png Dirk Burkhardt2019-08-26 13:30:002019-08-21 16:12:30Thesis Presentation: Contrasted Data from Science and Web for Advanced Visual Trend Analytics

Categories

  • Allgemein (28)
  • Business (4)
    • Conference (3)
    • Workshop (1)
  • News (24)
    • Action (2)
    • Event (11)
  • Research (37)
    • Action (7)
    • Conference (4)
    • h_da (5)
    • Journal (1)
    • Project (6)
    • Prototype (2)
    • Publication (15)
    • Workshop (4)
  • Talk (3)
  • Teaching (20)
    • Demo (3)
    • h_da (11)
    • Lecture (5)
    • Practical Experience (1)
    • Seminar (1)
    • Thesis (7)
    • TU Darmstadt (3)
  • Technology (21)
    • Scitics (17)
    • SmartEval (1)

Tags

Artificial Intelligence (4) Business Analytics (15) Business Management (4) Collaboration (11) Conference (4) Cyber-Physical Systems (3) Data Analysis (5) Data Analytics (4) Data Mining (6) Decision Making (4) Digital Libraries (4) eGovernance (6) eGovernment (9) Europe (6) h_da (4) Industry 4.0 (4) Information Science (4) Information Systems (3) Information Visualization (13) Innovation Management (12) Intelligent Visualization (3) iV (4) Legal Data (3) Machine Learning (3) Research (17) Research Day (4) research networks (7) research project (7) Scientific Data (4) Semantics Visualization (3) Simulation (4) Smart Manufacturing (4) Technology Management (8) Text Mining (10) Trend Analysis (10) Trend Analytics (7) University (3) User-Centered Design (9) Visual Analytics (33) Visual Computing (4) Visual Interfaces (5) Visualization (6) Visual Trend Analysis (21) Visual Trend Analytics (14) workshop (4)

Recent News

  • Book Chapter published in Student Handbook “Praxishandbuch Forschungsdatenmanagement”21/01/2021 - 9:57
  • Kickoff of the European Project “Partnerships with Eastern Europe”04/01/2021 - 16:43
  • Our team wishes you happy christmas holidays and a happy new year!22/12/2020 - 8:50

History

About | Imprint | Data Privacy

© 2020 Research Group on Human-Computer Interaction & Visual Analytics (vis) – Darmstadt University of Applied Sciences (h_da)

Scroll to top

This website uses cookies to enhance its ease of use. Click "Learn More" to get detailed descriptions and further options!

OKLearn More

Cookie and Privacy Settings



How we use cookies

We may request cookies to be set on your device. We use cookies to let us know when you visit our websites, how you interact with us, to enrich your user experience, and to customize your relationship with our website.

Click on the different category headings to find out more. You can also change some of your preferences. Note that blocking some types of cookies may impact your experience on our websites and the services we are able to offer.

Essential Website Cookies

These cookies are strictly necessary to provide you with services available through our website and to use some of its features.

Because these cookies are strictly necessary to deliver the website, refuseing them will have impact how our site functions. You always can block or delete cookies by changing your browser settings and force blocking all cookies on this website. But this will always prompt you to accept/refuse cookies when revisiting our site.

We fully respect if you want to refuse cookies but to avoid asking you again and again kindly allow us to store a cookie for that. You are free to opt out any time or opt in for other cookies to get a better experience. If you refuse cookies we will remove all set cookies in our domain.

We provide you with a list of stored cookies on your computer in our domain so you can check what we stored. Due to security reasons we are not able to show or modify cookies from other domains. You can check these in your browser security settings.

Other external services

We also use different external services like Google Webfonts, Google Maps, and external Video providers. Since these providers may collect personal data like your IP address we allow you to block them here. Please be aware that this might heavily reduce the functionality and appearance of our site. Changes will take effect once you reload the page.

Google Webfont Settings:

Google Map Settings:

Google reCaptcha Settings:

Vimeo and Youtube video embeds:

Privacy Policy

You can read about our cookies and privacy settings in detail on our Privacy Policy Page.

Datenschutzerklärung
Accept settingsHide notification only