CSV-TAB-Converter for Cambridge Advanced Modeller (Version 1.0.9)

This tool (for Windows & MacOS) converts Excel, Matlab or other matrix related tools (e.g. LOOMEO) TAB-files, including .txt-files, into proper CSV-files for Cambridge Advanced Modeller 2 (CAM 2) for import use. It can also convert respective CSV-files of CAM 2 into TAB-files for Excel, Matlab or other matrix related tools (e.g. LOOMEO), including .txt-files. Example file styles for import and export are included in this package.

https://www.researchgate.net/publication/365637116_CSV-TAB-Converter_for_Cambridge_Advanced_Modeller_Version_109

The CAM 2 can be downloaded for free as follows (external link): https://camtoolkit.eng.cam.ac.uk/

Virtual court hearings and virtual law firm meetings

Introduction

Worldwide due to the coronavirus disease 2019 (COVID-19) in a late period of the year 2019 courts have started to switch to virtual methods for preventing desease transmission, mainly via digitalized technical methods in vision and sound. Moreover worldwide in law firms attorneys, patent agents and other comparable professions have started communicating to their clients and other persons via digitalized technical methods in vision and sound as well.

Due to those numerically increasing virtual court hearings and/or virtual law firm meetings there are loads of questions coming up about what´s disadvantageous and advantageous until now and how to reduce those disadvantages and using the advantages of those social distancing situations in the field of court hearings and law firm meetings after the global pandemic.

First one has to take a look at the status quo ante. In Germany it is allowed having social-distancing court hearings with respect to

§ 128a – Hearings in the ways of vision and sound transmission (Code of Civil Procedure – CPC)1

Disadvantages and advantages

Until now virtual court hearings and/or virtual law firm meetings have several disadvantages compared to live court hearings and/or law firm meetings with physical presence:

  • No immersive participation of the participants, which leads to a lack of professional human relations in front of a court and/or in a law firm,
  • no face-to-face-communication between participants in a real physical presence,
  • no exchange of exhibits (e.g. illegal copied products, weapon used in a crime), real produced documents (e.g. printed documents) and other evidences,
  • no physical possibility of examining instruments such as certificates, records, confidental documents, signatures or other official or inofficial means,
  • in special case of virtual court hearings no physical intervention of judicial police or other authorized participants,
  • other possible disadvantages.

But due to virtual court hearings and/or virtual law firm meetings several advantages are coming up in lockstep:

  • No journeys or commuting to courts or law firms, which saves money for the participants,
  • no journeys or commuting to courts or law firms, which saves time for the participants,
  • enabling a court hearing or law firm meeting for a participant, who is…
    • …not able to participate due to physical and/or psychological disablement,
    • …not able to go on a journey to a court or a law firm due to a lack of time and/or money, not having appropriate means of transport, cancelled transportation service, interrupted transportation service or delayed transportation service,
    • …not able to participate due to other reasons e.g. the participant is being jailed in a prison in a foreign country,
  • direct recording of a virtual court hearing or law firm meeting as evidence and/or for archiving,
  • overcoming distances, delays, time zones, regional and/or national borders independed from the local position of a court or a law firm,
  • increasing the number of daily court hearings and/or law meetings in general
  • enabling new professional court hearings and/or law firm meetings such as on international level (e.g. in international waters, patent infringement litigations in multiple countries) or space outside earth (e.g. International Space Station, Moon, etc.).       

       Proposal for solution

There are at least two main fields eliminating the disadvantages as best as possible and strengthen the advantages for the future:

First a court room and/or a law firm room need tailor-made solutions such as

  • conventionally and specificially digitalized technical equipment for the participants for human-machine-interaction, human-human-interaction due to multimedia-based purposes (e.g. high-resolution examining),
  • conventionally and specificially digitalized technical equipment for the participants for human-machine-collaboration, human-human-collaboration due to physical purposes (e.g. signing with robot assisted motion sequence and transmitting it to a twin robot in court),
  • conventionally and specificially digitalized technical rooms for the participants for human-machine-interaction and human-human-interaction due to multimedia-based purposes (e.g. a virtual court room with projected participants),
  • conventionally and specificially digitalized technical rooms for the participants for human-machine-collaboration and human-human-collaboration due to physical purposes (e.g. virtual exchange of exhibits between participants),
  • other conventionally and specificially digitalized technical solutions.

As examples implemented solutions could be

  • virtual reality equipment and/or virtual reality rooms, already known in several fields of engineering solutions2,
  • new software solutions for courts and/or law firms due to the mentioned advantages and disadvantages above such as virtual exhibit handling or other evidence handling, real-time activating of police operations, high-resolution multi-media based examining of instruments such as documents, signatures or other official or inofficial means2,
  • implementing special block-chain systems between courts, authorized law firms and other authorized places 3,
  • implementing hard real-time systems instead of using soft real-time systems as known from e.g. medical engineering4.

Execution example

As an execution example there is shown the „Immersive Participation Lab“ of the Fraunhofer Institute for Industrial Engineering, which is being used in public and private construction engineering sector as follows2. One can transfer those applications into court proceeding elements such as exhibit handling, strategic planning, decision making, virtual conversations between public and/or private participants, instrument evaluation (e.g. for certificates) and others:

https://www.iao.fraunhofer.de/lang-en/labs-equipment/976-immersive-participation-lab.html

Sources

Sources

1 Hau, W.; Litigation in the Time of Covid-19: Some Observations from Germany; Ludwig-Maximilians Universität Munich; Munich; Germany; 22th of April 2020; Link: https://septentrio.uit.no/index.php/SapReps/article/download/5464/5213

2 Wenzel, G.; et al.; Immersive 3D displays for realistic, detailed, accurately rendered real-time visualization; Fraunhofer Institute for Industrial Engineering; Stuttgart; Germany; 2020; Link: https://www.iao.fraunhofer.de/lang-en/labs-equipment/976-immersive-participation-lab.html

3 Loebl, Z.; Designing Online Courts: The Future of Justice Is Open to All; Kluweder Law International B.V.; Alphen aan den Rijn; the Netherlands; 2019; ISBN: 9789403517049; Link: https://lrus.wolterskluwer.com/store/product/designing-online-courts-the-future-of-justice-is-open-to-all/

4 Shen,D.; Liu,T.; Peters; T.; Staib, L.H.; Essert, C.; Zhou, S.; Yap, P.-T.; Kha, A.; Medical Image Computing and Computer Assisted Intervention – MICCAI 2019; 22nd International Conference, Proceedings, Part IV; Shenzen; China; 13th to 17th of October 2019; Springer Nature Switzerland AG; Cham; Switzerland; ISBN: 978-3-030-32250-2; Link: https://link.springer.com/book/10.1007/978-3-030-32239-7

Publication no. / Report no.: 2020_maz_000001

Transportszenarien, Energiespeicher und Infrastruktur für den zukünftigen Gütertransport // Transport Scenarios, Energy Sources and Infrastructure for Future Freight Transport

Deutsch // English version below

In meiner Master-Semesterarbeit hatte ich mich mit dem zukünftigen Langstreckengütertransport für die Jahre 2030 und 2040 befasst. Eine Doppelanstrengung, die sich damit auseinandersetze sowohl zweimal 30 Zukunftsthemen für die Jahre 2030 & 2040 statistisch zu ermitteln sowie eine möglichst automatisierte Zukunftsprojektionsmethodik zu etablieren. Für die Automation der Zukunftsprojektion bestand die Idee darin, dass Expertenwissen nur am Anfang für Zukunftszusammenhänge bezüglich Einflussnahme, Kausalität & vertiefter Konsistenz der 30 Themen einfließen und danach maschinell die Zukunftsszenarien generiert werden. Das Clustern von viel Information ist bis heute mehrheitlich ein manueller Schritt, der viel Experten- & Clustering-Wissen erfordert. Jedoch wenn man moderne Methoden des Matrix gestützten Produkt-Komplexitätsmanagements in die Szenariotechnik einfließen lässt, ergeben sich hier neue, verbesserte Möglichkeiten. Maschinelles Lernen (Machine learning) könnte dies weiter automatisieren sowie optimieren. Mein Fazit für den Güterverkehr der Zukunft. Wir müssen die Umweltauswirkungen aktiv überall monetär einfließen lassen und Transport, Logistik sowie Multimodalität in 3 anstatt 2 Dimensionen denken. Der Klimawandel kommt.

Mehr auf http://www.truck2030.tum.de

//

During my Master term thesis, I analysed the future long-distance freight transport for the years 2030 and 2040. A double-challenging task which included twice identifying 30 future projections for the years 2030 & 2040 in a statistical way. For the automation of building projections there has been the idea using expert knowledge just at the beginning due to influences, causality & deepened consistency of the 30 future topics. After that machine generated future projection should develop automatically. Nowadays Clustering of information is mainly a manual step which needs loads of expert and clustering knowledge at the same time. But if you use modern methods in matrix-based product complexity management in the field of scenarios new possibilities of improvement are coming up. Machine learning could even improve it again. My conclusion for the future freight transport: Integrating environmental impacts directly in way of environmental costs everywhere and thinking transport, logistics and multimodality in 3 instead of 2 dimensions. Climate change is coming.

Find more on http://www.truck2030.tum.de

Publication no. / Report no.: 2018_maz_000002

Idea of improvement for the f/p design formula

In 2008 the company „f/p design“ (f-p-design.com) among the team of Prof. Dr.-Ing. Fritz Frenkler (Chair of Industrial Design, TU Munich, https://www.id.ar.tum.de/en/chair-of-industrial-design/) published their „Design Formula“ which considers an overall & a general description about what every industrial design developed product includes in total.

Based on the first design formula of Gert Hildebrand (Mini, BMW Group) in 2006 the formula of Prof. Dr.-Ing. Fritz Frenkler describes industrial design results „d“ as a mathematical product of technology „Tech“, ergonomics „Erg“, sociology „Soc“, ecology „Eco“, psychology „Psych“ and philosophy „Phil“. This product is being exponentiated with an „indivdual“-factor. The term is embedded into an integral from function to form and this whole term again is dependent on a time-variable „t“ in relation to a one-/ two- / three or four-dimensional presentation (or characteristic).

The „Design Formula“ [Frenkler, 2008, source: TUM Forscher Alumni 2018 (pdf-page 141, German version of  „Design Formula“), based on Hildebrand, 2006]

The shown formula uses the „function“- & „form“-variables as the beginning and ending values of the same integral, although function & form are two different variables of an industrial design product developing process. Moreover with the shown mathematical description one could vary neither product functions nor the depending product forms during a dynamic product development process although time t is a determing factor in this formula.

Because of the written reasons above an improved „Design Formula 2.0“ is being described as follows:

The „Design Formula 2.0“ [Martin Azzouni, 2018, based on Frenkler, 2008, source: TUM Forscher Alumni 2018, (pdf-page 141, German version of „Design Formula“)]

The new formula integrates the „function“-dependent variable „form“ first, which contains the industrial designer’s work activities & content of work. The variable „function“, which contains product requirements and properties, integrates after and is given by other product development teams from outside and/or the designer themself. Both variables can consider and follow the dynamic product development process during time for an optimised industrial design product result.

Now the formula improvement also shows harmonically the important „form follows function“-rule in industrial design.

Publication no. / Report no.: 2018_maz_000001