The Light Rail Manila Corporation sought the expertise of the Metals Industry Research and Development Center in the areas of fabrication of obsolete or difficult-to-source spare parts and conduct of structural repairs of light rail vehicles (LRVs).
Dr. Franz Asunta de Leon, also an associate professor at UP Diliman- Electrical and Electronics Engineering Institute, earned his PhD in Electronic and Electrical Engineering at the University of Southampton in United Kingdom in 2014.
The Smarter City Belt is a collaborative project that aims to make cities in the region future-ready by using the latest technologies and innovations from the DOST, as well as R&D outputs from the state universities and colleges and higher education institutions.
The lightning-detecting automated weather stations (AWS) will determine the relationship of lightning strikes and torrential rainfall to put together a forecast method that could predict the weather at a shorter time period.
The researchers noted that “Will” is a more important factor for science teachers, whereas “Skill” is more important for mathematics teachers when it comes to integrating ICT into the classroom.
The Steering Committee will provide strategic guidance and oversight in the formulation, implementation, and development of the Philippine Startup Development Program.
The S-PaSS is a travel management system that can facilitate local travel where the public can access information on travel restrictions implemented by different local government units (LGUs) due to the Covid-19 pandemic.
The government’s program to support innovative agri-aqua startups is getting a shot in the arm with the signing of a Joint Administrative Order (JAO) between the DICT, DOST, and DTI.
The Synthetic Aperture Radar and Automatic Identification System for Innovative Terrestrial Monitoring and Maritime Surveillance (SAR with AIS) Project has improved the country’s terrestrial and maritime monitoring and the applications of the project’s data are numerous.
The project by the DOST and DENR aims to quickly and accurately identify selected wood species through a Wood Identification Mobile Phone Application using Android OS.
