The Arduino Simple Programming at school was held at five different schools near Parit Raja, Batu Pahat, Johor from October-November 2017. The schools are SK Jelutong, SMK Sri gading, SK Pintas Puding, SK Bukit Kuari and SK Seri Sabak Uni. The objective of Professional Knowledge Transfer Workshop is to give an exposure to the students of primary and secondary schools on engineering and to inspire them to be engineers. This program was organized by the Institute of Electrical and Electronics Engineers (IEEE) UTHM Student Branch with cooperation of IEEE Signal Processing Society (SPS) Malaysia Chapter. 

Advisor: Caylor, Kelly K.

Smallholder farms dominate in many parts of the world, including Sub-Saharan Africa. These systems are characterized by small, heterogeneous, and often indistinct field patterns, requiring a specialized methodology to map agricultural landcover. In this thesis, they developed a benchmark labeled data set of high-resolution satellite imagery of agricultural fields in South Africa. 

Non-invasive side-channel attacks (SCA) are powerful attacks which can be used to obtain the secret key in a cryptographic circuit in feasible time without the need for expensive measurement equipment. Power analysis attacks (PAA) are a type of SCA that exploit the correlation between the leaked power consumption information and processed/stored data. Differential power analysis (DPA) and leakage power analysis (LPA) attacks are two types of PAA that exploit different characteristics of the side-channel leakage profile. 

The Signal Processing Society (SPS) has 12 Technical Committees and 3 Special Interest Groups (SIGs) that support a broad selection of signal processing-related activities defined by the scope of the Society.

The rapid advancement and proliferation of information and communication technologies (ICT) in the past two decades significantly impacted how we do research. For instance, our research increasingly relies on growing computing power and storage capacity to gather and process the constant production of data - our observations of systems and phenomena we would like to understand, control, and improve.