Sound Dr -- A database of Respiratory Sound and Baseline System for COVID-19 Detection

As the COVID-19 pandemic significantly affect every aspects of human life, it is urgent to provide a data for further researches. We, therefore, introduce a dataset named Sound Dr Database which provides not only quality sounds of coughing and breathing but also metadata for relevant-respiratory illness or diseases. Creating proof-of-concept systems is effective for the detection of abnormalities in the respiratory sounds of patients. These solutions will serve as effective tools to assist physicians in diagnosing respiratory disorders.

On Development of Efficient Data Acquisition Systems and Parameter Extraction Technique for DFB Lasers

Distributed Feedback Laser plays a key role as a light source component in optical fiber communication systems ranging from metro, long-haul to submarine one thanks to its competitive features of superior narrow spectral width and wavelength cohesion. Characterizing such lasers via obtaining their electrical and spectral data and extracting their internal parameters therefore remains a critical task in designing and troubleshooting optical fiber systems. This paper presents first an agile framework for a rapid collection of laser data via automatic measurement and second an efficient approach for extracting laser internal parameters.