Prof.Ata Jahangir Moshayedi
Jiangxi University of Science and Technology, China
Title: Gas sensor Modeling from Simple Equation to Electronic Nose, Enose challenges
Gas sensors are among a wide range of sensors used in various applications from home to industry. Even more recently, in the form of electronic noses( E_nose), their use has been extended to identify those infected with the coronavirus. Sensor behaviour plays an important role in system modelling. Therefore, finding mathematical models which can describe the sensor response with maximum information over time in different environments and situations is necessary. One of the major tasks in this field is mathematical modelling, which has become increasingly complex over time. Unfortunately, most of the proposed equations fail to support actual performance and even make researchers increasingly confused. In this talk, we present brief modelling equations for metal oxides , based on practical observations and logs data extraction. A mathematical equation is proposed to reduce the model parameters according to changes in temperature, humidity, and gas density variation, which helps to simulate the sensor’s behaviour more accurately and, consequently, to draw a better short response.
Dr Ata Jahangir Moshayedi, Associate professor at Jiangxi University of Science and Technology, China, PhD. In Electronic Science from Savitribai Phule Pune University, India,
IEEE member, Instrument Society of India as a Life Member, Lifetime Member of Speed Society of India, member of the editorial team of various conference and journals like; International Journal of Robotics and Control, JSME, Bulletin of Electrical Engineering and Informatics, International Journal of Physics and Robotics Applied Electronics, etc., 80 papers published in national journals and conferences, 2 books published, Owns 1 patent, 5 copyright.
His research interest includes: Robotics and Automation/ Sensor modelling /Bio-inspired robot, Mobile Robot Olfaction/Plume Tracking, Embedded Systems / Machin vision-based Systems/Virtual reality, Machine vision/Artificial Intelligence
Dr Moshayedi, Presently working on his AGV (Automated Guided Vehicles) designed model and Food delivery service robot at Jiangxi University, china.
Prof. Jiandong Hu
Henan Agricultural University, China
Title: Applications of Eigenvalues and Eigenvectors in Data Mining
Abstract: Applied linear algebra methods play an important role in data science. Eigenvalues and eigenvectors are widely used in efficient algorithms for data mining, with applications in dimensionality reduction, image processing, facial recognition, and Internet search engine. In this study, we mainly discuss efficient algorithms in data mining field. Principal Component Analysis (PCA) uses eigenvalues and eigenvectors to re-express data in the form of a small number of actual data points. PCA is widely applied in image compression and facial recognition. PageRank, the Google search engine algorithm, is an eigenvector of a transformation matrix corresponding to the largest eigenvalue. The best solution for the decision vector for network classification is the feature vector of the Laplacian matrix corresponding to the second smallest eigenvalue
Experience: Professor Shyi-Ming Chen received the Ph.D. degree in Electrical Engineering from National Taiwan University, Taipei, Taiwan, in June 1991. He is a Chair Professor in the Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan. From August 2007 to July 2010, he was the Dean of the College of Electrical Engineering and Computer Science, Jinwen University of Science and Technology, New Taipei City, Taiwan. From August 2011 to July 2012, he was the Vice President of the National Taichung University of Education, Taichung, Taiwan. He was the President of the Taiwanese Association for Artificial Intelligence (TAAI) from January 2005 to January 2009. He was the President of the Taiwanese Association for Consumer Electronics (TACE) from December 2008 to December 2012 and from December 2014 to December 2016. He has published more than 500 papers in referred journals, conference proceedings and book chapters. His research interests include Fuzzy Systems, Intelligent Systems, Knowledge-Based Systems, Neural Networks, Data Mining, Information Retrieval, and Genetic Algorithms.