Niall O’ Mahony attended the 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM) in Banff, Alberta, Canada. The AIM 2016 conference brings together an international community of experts to discuss the state-of-the-art, new research results, perspectives of future developments, and innovative applications relevant to mechatronics, robotics, control, automation, and related areas. The Content presented was Smart Sensors for Process Analytical Technology. The paper presented reviewed the advantages of smart sensors and their role in recent trends in intelligent manufacturing such as the Industrial Internet of Things (IIOT) and Industry 4.0. The paper also presented the selection process for a number of smart sensors for a number of industrial applications dealt with in collaborative work with the ProPAT project. These applications included the Mass flowrate, Moisture content and Temperature of powders in milling and pharmaceutical industries and the Moisture content, Viscosity and Colour of polymer resin in a polymerisation process. This paper has been published in IEEEXplore Conference Proceedings for 2015 IEEE International Conference on Advanced Intelligent Mechatronics (AIM).
IMaR is currently accepting application for the following research post: Research Assistant – RFID, IoT and Data Analytics Full details can be found on the Information Sheet for this position. All applications to be made online. Closing date for receipt of completed applications is 12.00 noon Friday, 19th August 2016.
Thinking about pursuing a Masters by Research ? The IMaR Technology Gateway currently has a number of funded Masters by Research Scholarships as part of this years IT Tralee scholarship programme. Closing date for receipt of applications is 9th May 2016. Successful applicants will commence their programmes in September. Download application form.
Our center manager Dr. Ultan McCarthy introduces the IMaR Technology gateway
Joanna Kossakowska one of the researcher at IMaR is currently researching methods for improving efficiency of blood collection in Ireland. The main goal of the study is to examine currently available techniques for intelligent profiling of blood donors. This involves examination and identification of most suitable data mining techniques and machine learning algorithms which will be applied on individuals’ historical data in order to predict their future blood donation patterns. This research can be run thanks to the support and collaboration from Irish Blood Transfusion Services. However, further help from volunteers is needed, as a special survey has been developed to provide data for the research. If you would like to know more about the project and participate in the study by filling out the survey please visit: http://blood-donors-research.imar.ie/