Christophe Soares

In Portugal, more than 98% of domestic cooking oil is disposed of improperly every day. This avoids recycling/reconverting into another energy. Is also may become a potential harmful contaminant of soil and water. Driven by the utility of recycled cooking oil, and leveraging the exponential growth of ubiquitous computing approaches, we propose an IoT smart solution for domestic used cooking oil (UCO) collection bins. We call this approach SWAN, which stands for Smart Waste Accumulation Network. It is deployed and evaluated in Portugal. It consists of a countrywide network of collection bin units, available in public areas. Two metrics are considered to evaluate the system’s success: (i) user engagement, and (ii) used cooking oil collection efficiency. The presented system should (i) perform under scenarios of temporary communication network failures, and (ii) be scalable to accommodate an ever-growing number of installed collection units. Thus, we choose a disruptive approach from the traditional cloud computing paradigm. It relies on edge node infrastructure to process, store, and act upon the locally collected data. The communication appears as a delay-tolerant task, i.e., an edge computing solution. We conduct a comparative analysis revealing the benefits of the edge computing enabled collection bin vs. a cloud computing solution. The studied period considers four years of collected data. An exponential increase in the amount of used cooking oil collected is identified, with the developed solution being responsible for surpassing the national collection totals of previous years. During the same period, we also improved the collection process as we were able to more accurately estimate the optimal collection and system’s maintenance intervals.

Communications professionals have widely recognized the importance of media coverage measurement. Despite having been discredited in measuring media coverage, either by the scientific community or by industry main organizations, advertising value equivalency (AVE) continues, nevertheless, to be a metric used by many communication professionals to measure digital media coverage. We propose a new metric, the Media Output Score (MOS), to automatically measure the online media coverage of brands in real-time, combining brand objectives with target media, media visibility, media favorability, readership, and social amplification of news by individuals. Using the design science research methodology, this research includes a case study analyzing the media coverage of the three main Portuguese telecommunications brands during one year on ten digital media outlets. The use of MOS with the sample data proved to be a comprehensive and valid metric to measure the output performance of brands’ digital media coverage since it effectively combines all variables, providing a single metric that can be used to evaluate and compare the performance in this context. This article presents the development, the application, and the implications of the MOS, providing a new lens through which to view and assess media coverage.