30th DAAAM International Symposium on Intelligent Manufacturing and Automation 2019.
The 30th DAAAM International Symposium on Intelligent Manufacturing and Automation took place in Zadar, Croatia between the 21th and 26th October 2019, during the DAAAM International Week. The Symposium was organized by DAAAM International Vienna in cooperation with ÖIAV-1848, Technical University of Vienna (TU Wien), International Academy of Engineering and University of Applied Sciences Technikum Wien and Under the Auspices of the Danube Rectors’ Conference & Rectors’ and Presidents’ Honor Committee of DAAAM International for 2019. The Symposium took place in Zadar, Croatia. This year symposium aimed at continuing the success of the previous year's focusing on the five-fold traditional objectives of the symposium: the presentation of the most recent high-quality results, support of development of young scientists and researchers, organization of international (summer) doctoral school, inauguration of new members of Central European Branch of International Academy of Engineering and the provision of the necessary setting for stimulating discussions, brainstorming and networking among European and international researchers coming both from the academia government agencies and industry.
This proceeding contains 168 refereed papers from more then 400 authors presented at the 30th DAAAM International Symposium 2019. All the papers included in these proceedings are reviewed by the experts in double blind peer review way, and finally revised by the authors for the improvement according to referee’s reports and advices.
The papers discuss many aspects of modern manufacturing and automation such as: Algorithms, Artificial Intelligence, CAX, Computer Integration, Control, Cutting Tools, Design, FEM, Invited Lectures, Knowledge, Management, Manufacturing System, Mechatronics, Methodology, Methods, Modelling, Optimization, Robotics, Simulation, Technical Solutions, Technology and Trends.
In our implementation research, we apply workflow approach to the modeling and development of the Big Data processing pipeline using open source technologies. The data processing workflow is a set of interrelated steps which launch some particular jobs such as Spark job, shell job or Postgre SQL command. All workflow steps are chained to form integrated process and imitate the data load from staging storage area to the datamart storage area. The experimental workflow-based implementation of a data processing pipeline was performed that stages through different storage areas and uses actual industrial KPI dataset of some 30 millions records. Evaluation of implementation results provides proofs of the applicability of proposed workflow to other application domains and datasets which should satisfy the data format at input stage of the workflow.
The article reveals the peculiarities of the use of artificial intelligence technologies in judicial and law enforcement practices in the Russian Federation, which are directly related to the strict legal regulation of substantive and procedural law. The authors associate the possibility of using artificial intelligence with the administrative activities of state bodies aimed at solving the strategic tasks of the state. The authors identify the positive and negative aspects of the use of artificial intelligence in the activities of law enforcement agencies.