Visualising Pipeline Sensor Datasets with Modified Incremental Orthogonal Centroid Algorithm
Each year, millions of people suffer from after-effects of pipeline leakages, spills, and eruptions. Leakages Detection Systems (LDS) are often used to understand and analyse these phenomena but unfortunately could not offer complete solution to reducing the scale of the problem. One recent approach was to collect datasets from these pipeline sensors and analyse offline, the approach yielded questionable results due to vast nature of the datasets. These datasets together with the necessity for powerful exploration tools made most pipelines operating companies “data rich but information poor”. Researchers have therefore identified problem of dimensional reduction for pipeline sensor datasets as a major research issue. Hence, systematic gap filling data mining development approaches are required to transform data “tombs” into “golden nuggets” of knowledge. This paper proposes an algorithm for this purpose based on the Incremental Orthogonal Centroid (IOC). Search time for specific data patterns may be enhanced using this algorithm.
Keywords: pigging; heuristics; incremental; centroid
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ABOUT THE AUTHORS
Folorunso Olufemi Ayinde
Olufemi A. Folorunso received the B.Sc. and M.Sc. degrees in Mathematics and C omputer Science from the Obafemi Awolowo University, Ile-Ife, and the University of Lagos, Nigeria in 1992 and 1997 respectively. He is a Senior Lecturer at the Yaba College of Technology, Lagos, Nigeria and currently a research student in Computer Science at the Universiti Teknologi Malaysia. His research interests include algorithms development, optimisations, signal processing, augmented reality and scientific visualization. He has published several articles in both local, international journals and leading conferences. He is a member of the Nigerian Computer society, the Computer Professional Registration Council of Nigeria and a member of vizNET, United Kingdom.
Mohd Shahrizal Sunar
Mohd Shahrizal Sunar received the BSc degree in Computer Science majoring in Computer Graphics (1999) from Universiti Teknologi Malaysia and MSc in Computer Graphics and Virtual Environment (2001) from The University of Hull, UK. In 2008, he obtained his PhD from National University of Malaysia. His major field of study is real-time and interactive computer graphics and virtual reality. He is the head of computer graphics and multimedia department, Faculty of Computer Science and Information System, Universiti Teknologi Malaysia since 1999. He had published numerous articles in international as well as national journals, conference proceedings and technical papers including article in magazines. Dr. Shahrizal is an active professional member of ACM SIGGRAPH. He is also a member Malaysian Society of Mathematics and Science.
Folorunso Olufemi Ayinde
Olufemi A. Folorunso received the B.Sc. and M.Sc. degrees in Mathematics and C omputer Science from the Obafemi Awolowo University, Ile-Ife, and the University of Lagos, Nigeria in 1992 and 1997 respectively. He is a Senior Lecturer at the Yaba College of Technology, Lagos, Nigeria and currently a research student in Computer Science at the Universiti Teknologi Malaysia. His research interests include algorithms development, optimisations, signal processing, augmented reality and scientific visualization. He has published several articles in both local, international journals and leading conferences. He is a member of the Nigerian Computer society, the Computer Professional Registration Council of Nigeria and a member of vizNET, United Kingdom.
Mohd Shahrizal Sunar
Mohd Shahrizal Sunar received the BSc degree in Computer Science majoring in Computer Graphics (1999) from Universiti Teknologi Malaysia and MSc in Computer Graphics and Virtual Environment (2001) from The University of Hull, UK. In 2008, he obtained his PhD from National University of Malaysia. His major field of study is real-time and interactive computer graphics and virtual reality. He is the head of computer graphics and multimedia department, Faculty of Computer Science and Information System, Universiti Teknologi Malaysia since 1999. He had published numerous articles in international as well as national journals, conference proceedings and technical papers including article in magazines. Dr. Shahrizal is an active professional member of ACM SIGGRAPH. He is also a member Malaysian Society of Mathematics and Science.