Page 230 - Kaleidoscope Academic Conference Proceedings 2020
P. 230

Session 4: Digital transformation in daily life
             S4.1      A technique for extracting the intention of messengers in social media
                       Mohamed Fazil Mohamed Firdhous and Balakrishnan Nalin Prashanth, University of Moratuwa,
                       Sri Lanka

                       Today social media has become an integral part of human life. Though there are many advantages
                       social media has some shortcomings, especially when it comes to young users. Parents generally
                       do not want their young children to have social media accounts. Even if some parents allow their
                       young children to have their own accounts, they want them to use it under their active supervision.
                       This is mainly due to the reason that parents fear that children may be exposed to inappropriate
                       content, or may become victims of abuse by cyber-criminals. In this paper, the authors propose a
                       technique that can extract the intention of users of online chatting by converting the non-text
                       information along with misspelled and abbreviated text into meaningful text and analyzing it to
                       understand the true motive of the messenger. The tests conducted on the technique show that it
                       performs better than a cosine similarity test within the domain of online chatting. The other main
                       advantage of this technique is that it can be integrated with any social media platform with relative
                       ease making it secure even for young children.

             S4.2      Towards a digital process platform for future construction sites
                       Hans Aoyang Zhou, Aymen Gannouni, Thomas Otte, Jonas Odenthal, Anas Abdelrazeq and Frank
                       Hees, RWTH Aachen University, Germany

                       When  it  comes  to  digitalization,  construction  sites  are  still  at  the  beginning  of  an  ongoing
                       transformation process. Two major causes are the complexity of construction site environments
                       and the lack of interoperability between the different actors, such as machines and site suppliers
                       that are involved in the construction project. This has direct implications on the efficiency, quality,
                       and production time of construction projects. Thus, there is a strong need to fill this digitalization
                       gap by considering the latest advancements in the Internet of Things (IoT), as well as edge and
                       cloud computing. In this paper, we suggest a data-driven approach for construction sites, in which
                       we  extract  data  from  machines,  send  it  to  a  central  data  storage  with  scalable  computational
                       resources  and  analyze  it  to  improve  the  existing  construction  processes.  For  that,  we  studied
                       requirements of selected construction site processes and designed a communication architecture
                       that scales with the complex characteristics of real-world applications. Additionally, we propose
                       a  digital  process  platform  that  supports  a  wide  range  of  users  with  their  different  roles  on
                       construction sites and builds the foundation for further research, implementation, and evaluation
                       of according construction site innovations. With the proposed platform framework, we extend the
                       construction  site  towards  an  integrated  Cyber-Physical  System  (CPS)  and  contribute  to  the
                       standardization  of  communication  infrastructures  within  the  construction  sector  by  merging
                       different solutions from the area of information and communication technologies.



























                                                          – 172 –
   225   226   227   228   229   230   231   232   233   234   235