Dr. Daniel D. Dasig Jr

De La Salle University-Dasmarinas, Philippines

 

Talk Title
Africa Energy Development: An Approach of Climate Change Mitigation and Clandestine Migration Eradication
Talk Abstract

AThe recent industrial ramifications of the cyber-physical system milieu including the advances in wireless sensor networks have gained attention from the engineering and scholars community.  Industry 4.0 has also brought modifications in the primary sector of the economy including the agricultural sector that embarked into precision farming. This paper presents the Low energy adaptive clustering hierarchy for Efficient Energy Consumption for Terrestrial Wireless Sensor Networks in an IoT Architectured Precision Agriculture powered by a solar panel.  The solution implemented three architectural layers include the IoT device, IoT Getaway, and IoT platform layer, with an IoT architecture including the Sensors and actuators;  IoT Gateway, Protocols and Data Acquisition; Edge Computing, Datacenter Management and Cloud Computing; and Visualization. Terrestrial sensors were utilized to gather and communicate Ambiental parameters of the highland crops plantation temperature and humidity, precipitation, dew, and soil moisture through wireless links and communicate to the cloud. For the system data aggregation and Internet getaways, Terrestrial Wireless sensor network (WSN) was developed using a Low energy adaptive clustering hierarchy (LEACH) while Zigbee, GSM/GPS, and Wi-Fi protocols were used in the system. During TWSNs set-up phase, LEACH was implemented to identify and organize clusters, and cluster heads are planned and selected. The Cross-industry standard process for data mining (CRISP-DM) framework was utilized in applying machine learning for frost prediction using Multiple Linear Regression. The system adopted the Tier II Datacenter design. Cloud Computing services were embedded to provide public access and data sharing with a mobile application for the end-users (agriculturists and farmers). The system was pilot tested and plotted in Atok, Benguet, Philippines that supplies 80% of highland crops and vegetables in the metropolis, where the elevation and Morning Potential Isolation (MPI) causes the frost events advective and highly-inversive. LEACH minimized the energy dissipation and afforded data segregation in the TWSNs. LEACH is ideal for TWSNs since it outperforms conventional routing protocols, scalable and completely distributed. 

keywords
Low energy adaptive clustering hierarchy, Efficient Energy Consumption, Terrestrial Wireless Sensor Networks,  IoT Architecture, Precision Agriculture
Short Biography

Dr. Daniel D. Dasig, Jr. received his BSc in Computer Engineering, MSc in Engineering in Computer Engineering, and PhD in Electrical and Computer Engineering degree, and currently  pursuing Doctor in Business Administration degree. He has been a Professorial Lecturer in electrical engineering, environmental engineering, information technology, computer science, and education in the Philippines and abroad. He is an Associate Professor 6 of the Graduate Studies of College of Science and Computer Studies of De La Salle University Dasmarinas since January 2018, and a Professorial Lecturer at the College of Continuing and Advanced Professional Studies of the University of Makati since 2014 where he also served as Research Coordinator in the College of Computer Science. In 2014, he served as Chair of Computer Engineering Department of Jose Rizal University. He also works with the Change Management and software development teams of TELUS since 2011. He is a Lean Six Sigma Certified, ITIL V3 Certified and Certified Project Management Expert. Dr. Dasig has authored and co-authored textbooks, reference books, and book chapters, and has more than 100 academic and technical papers extending over a wide spectrum of research areas such as in engineering, information technology, education, computer science and social sciences.He has organized and co-organized local and international conferences and was a recipient of Best Paper and Best Paper Presenter awards and fellow. He has an executive roles and active membership to more than 40 professional, research and policy-making organizations such as ICANN-NCSG, Internet Society Philippines, ICpEP, and PSITE. He has received numerous global and international awards including the World Class Filipino for Engineering and Information Technology. He is a book Editor of  Recent Advances in Big Data and Applications in Education, Springer, Switzerland, and Handbook of IoT and Blockchain: Methods, Solutions, and Recent Advancements, CRC Press- Taylor & Francis Group, USA, and Innovations, Models, and Policies of Green Engineering Technologies, IGI Global, USA. He is an IEEE member of the Republic of the Philippines Section

Target Audience
Students, Post doctoral, Industry, Doctors and professors
Speaker-intro video
TBA
 

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