Prof. Han-Yong Jeon
Department of Chemical Engineering, Inha University, South Korea
Biography: Professor Han-Yong Jeon is a geosynthetics/technical organic materials researcher of Inha University, Incheon, South Korea. Since 1998, he is the director of Geosynthetics Institute Korea Directory and has worked in International Geosynthetics Society as Council member (2006~2012) and the 6th president of Korean Geosynthetics Society (2011~2013) and the 32nd President of Korean Fiber Society (2014~2015). He has published more than 964 proceedings in the domestic and international conferences and published 168 papers in domestic & international journals. He wrote 25 Korean and English books including 'Review of Sustainable Geosynthetics Development Trend with Environmental Adaptive and Eco-Environmental Performances Point of View’, ISBN 978-1-78985-176-2, IntechOpen, 2020. He has awards of Marquis Who'sWho - Science and Engineering in 2003~2017 and Top 100 Scientists in the World: 2005/2011 of IBC (International Biographical Centre, UK). Also, he got the 33rd Academy Award of Korean Fiber Society in 2006 and “Excellent Paper Award of 2012” by The Korean Federation of Science and Technology Societies. Besides this, he got the 33rd Academy Award (The Korean Fiber Society), 2006 and the Best Publication Award (Korea Association of Technical Textile Industry), 2017 and the 41st JeongHun Textile Industry Prize (Academy Award), 2020.
Speech Title: Analysis of Sustainable Geosynthetics by Eco-Friendly Environmental Concept and Degradation Related Test for Considering Field Application
Speech Abstract: Eco-friendly environmental concept in PLA (poly lactic acid) geosynthetics application was reviewed. Green revolution is rapidly increasing in every construction sites e.g., green structure, green installation, green industry etc. especially on the eco-environmental point of view. Biodegradable geosynthetics as a green material could be made from eco-environmental polymeric resins and they must maintain their needed performance during service period in the real field application. The basic technology trend and concept of biodegradable geosynthetics is reflected to eco-environmental growth in civil engineering fields. The important concept of biodegradable geosynthetics is focused on their degradable behaviors of used resins and needed performance for engineering qualification with evaluated technical data. Therefore, it is very important to select what kind of raw resin, additives and plasticizer to control the biodegradability. In this study, to consider this, environmental availability of biodegradable geosynthetics by PLA was introduced and reviewed to be related to the quantitative analysis of degradability as long as biodegradable geosynthetics are installed in soil structure. And technical availability of biodegradable geosynthetics was introduced as green geosynthetics and reviewed to be related to analysis of degradability by conceptual consideration. The important concept of biodegradable geosynthetics is focused on their degradable behaviors of used resins and needed performance for engineering qualification with technical data of designing. Through the overall review of degradability of biodegradable geosynthetics, it is seen that biodegradable mechanism could be controlled theoretically and more restricted design technology must be adopted in the quality control and assurance of manufacturing procedure in the installation field. Finally, to evaluate the degradable performance of biodegradable geosynthetics, new test concept and the needed evaluation items should be selected by considering influence parameters on the long-term performance under real field installation conditions. PLA based geosynthetics will be used in the special and alternative application fields if biodegradable mechanism could be controlled.
Prof. Dariusz Jacek Jakóbczak
Department of Electronics and Computer Science, Koszalin University of Technology, Poland
Biography: Dariusz Jacek Jakóbczak was born in Koszalin, Poland, on December 30, 1965. He graduated in mathematics (numerical methods and programming) from the University of Gdansk, Poland in 1990. He received the Ph.D. degree in 2007 in computer science from the Polish – Japanese Institute of Information Technology, Warsaw, Poland.
From 1991 to 1994 he was a civilian programmer in the High Military School in Koszalin. He was a teacher of mathematics and computer science in the Private Economic School in Koszalin from 1995 to 1999. Since March 1998 he has worked in the Department of Electronics and Computer Science, Koszalin University of Technology, Poland and since October 2007 he has been an Assistant Professor in the Chair of Computer Science and Management in this department. His research interests connect mathematics with computer science and include computer vision, artificial intelligence, shape representation, curve interpolation, contour reconstruction and geometric modeling, numerical methods, probabilistic methods, game theory, operational research and discrete mathematics.
Speech Title: Reconstruction of Multidimensional Data on Intelligent Technology and Artificial Intelligence
Speech Abstract: Artificial Intelligence is applied for prediction and calculations of unknown values of data or coordinates. Decision makers, academicians, researchers, advanced-level students, technology developers, and government officials will find this text useful in furthering their research exposure to pertinent topics in AI, computer science, numerical analysis or operations research and assisting in furthering their own research efforts in these fields. Proposed method, called Two-Points Smooth Interpolation (TPSI), is the method of 2D curve interpolation and extrapolation using the set of key points (knots or nodes). Nodes can be treated as characteristic points of data for modeling and analyzing. The model of data can be built by choice of probability distribution function and nodes combination. TPSI modeling via nodes combination and parameter γ as probability distribution function enables value anticipation in AI, risk analysis and decision making. Two-dimensional curve is extrapolated and interpolated via nodes combination and different functions as continuous probability distribution functions: polynomial, sine, cosine, tangent, cotangent, logarithm, exponent, arc sin, arc cos, arc tan, arc cot or power function.