A methodology for automated evaluation of projects quality
The paper is devoted to the evaluation of the projects quality as an essential element of the quality assurance efforts. A methodology suitable for the quality evaluation of large-scale European networking educational projects is presented starting with an overview of its phases and important characteristics. Next the basic recommendations given by the methodology related to the quality of project deliverables, quality evaluation procedures and automation of the evaluation are introduced to identify the proposed approach to projects quality.
FETCH PROJECT: THE MATURITY OF QUALITY MANAGEMENT THROUGH DYNAMIC EVALUATION OF THE PROJECT PROGRESS
: The paper presents an approach towards project quality, aiming to reach a higher maturity level in the quality management of the finishing this year FETCH project (Future Education and Training in Computing: How to learn anytime anywhere) funded by the European Commission Lifelong Learning Programme. It describes the concept of this approach and the developed corresponding software tool for dynamic evaluation of the project progress.
Fully Integrated Bidirectional CMOS-MEMS Flow Sensor With Low Power Pulse Operation
Leveraging More-than-Moore technology, we demonstrate an integrated CMOS MEMS flow sensor via a very compact system on chip (SoC) that can sense the bidirectional N2 gas flow. Our SoC features a very low-noise instrumentation amplifier that is implemented on a CMOS wafer and serves as a readout integrated circuit for a thermoresistive micro-calorimetric flow sensor which is fabricated on a MEMS wafer. A compact heterogeneous integration is achieved by combining the two wafers via the proprietary InvenSense AlN process. The measured sensitivity of our CMOS MEMS flow sensor is 98 mV/sccm which is three times better than the state-of-the-art counterpart. The flow range measured by our SoC is from −26 to 26 m/s (from −50 to 50 sccm). Moreover, the pulsed heater operation makes this proposed SoC flow sensor a very low power (<9 mW) and, thus, a promising candidate for the Internet-of-Things applications in smart home/green buildings.