This book contains a selection of revised and extended research articles written by prominent researchers participating in the international conference on Advances in Engineering Technologies and Physical Science is held in London, UK, during July 7-9, 2021. This book demonstrates revised and extended research articles written by prominent researchers participating in the conference. Topics covered include mechanical engineering, bioengineering, Internet engineering, image engineering, wireless networks, knowledge engineering, manufacturing engineering, and industrial applications. The book…mehr
This book contains a selection of revised and extended research articles written by prominent researchers participating in the international conference on Advances in Engineering Technologies and Physical Science is held in London, UK, during July 7-9, 2021.
This book demonstrates revised and extended research articles written by prominent researchers participating in the conference. Topics covered include mechanical engineering, bioengineering, Internet engineering, image engineering, wireless networks, knowledge engineering, manufacturing engineering, and industrial applications. The book offers the state of the art of tremendous advances in engineering technologies and physical science and applications and also serves as an excellent reference work for researchers and graduate students working with/on engineering technologies and physical science and applications.
Dr. Sio-Iong Ao finished his doctoral research in The University of Hong Kong and postdoctoral researches in the University of Oxford and Harvard University and is Former Visiting Professor of Cranfield University, UK, and University of Wyoming, USA. Prof. Len Gelman is Professor and Chair in Signal Processing and Condition Monitoring, and Director, the Center for Efficiency and Performance Engineering, School of Computing and Engineering, The University of Huddersfield, UK. He has more than 25 years of experience in signal processing and vibro-acoustic monitoring of complex mechanical systems (e.g., rotating, reciprocating machinery, etc.) both in industry and academia. He has been Principal Investigator on numerous contracts and grants, including grants from the US National Academy of Sciences, US National Research Council, US International Science Foundation, US Civilian Research and Development Foundation (twice), US MacArthur Foundation, Lady Davis, Israel, and Centro Volta, Italy. He is Principal Investigator on UK EPSRC, UK DTI (three times), UK Royal Society, Rolls Royce (two times), and Shell grants.
Inhaltsangabe
Chapter 1 - Piecewise Monotonic Fitting for Covid-19 Data Analysis of the United Kingdom during 31-01-2020 to 19-11-2021 (Evangelos E. Vassiliou, Ioannis N. Perdikas, Demetrius E. Davos and Ioannis C. Demetriou).-Chapter 2 - On the Free Boundary Problem for the Low Reynolds Number (Nino Khatiashvili).- Chapter 3 - Community Detection on Proximity Networks (Gunce Keziban Orman and Onur Akdogan).- Chapter 4 - A Machine-Learnt Approach to Market Segmentation and Purchase Prediction Using Point-of-Sale (Pos) Data (Iromi R Paranavithana, Thashika D Rupasinghe, and Daniel D Prior).- Chapter 5 - Feasibility and Benefits of Small Photovoltaic Systems in Ghana (Kingsford Atanga, George Eduful and David Pulfrey).- Chapter 6 - Design of Multiple Bearing Placements for Brush Cutter Vibration Reduction (Yuki Koike, and Shingo Tsuruoka).- Chapter 7 - Experimental-Dem Hybrid Approach for Prediction Of Land Slide In Ughelli Sandstone (Adeola Grace Olugbenga, Simon Joseph Antony, Abdulkarim Nasir, Mohammed Umar Garba, Muibat Diekola Yahya).- Chapter 8 - Extracting the Efficient Model of Cylindrical and Conical Basins from Different Aspect Ratios (Shahadat Hossain Zehad, Sadman Al Faiyaz, Md Redwan Islam, and Dr. -Ing. Irfan Ahmed).
Chapter 1 - Piecewise Monotonic Fitting for Covid-19 Data Analysis of the United Kingdom during 31-01-2020 to 19-11-2021 (Evangelos E. Vassiliou, Ioannis N. Perdikas, Demetrius E. Davos and Ioannis C. Demetriou).-Chapter 2 - On the Free Boundary Problem for the Low Reynolds Number (Nino Khatiashvili).- Chapter 3 - Community Detection on Proximity Networks (Gunce Keziban Orman and Onur Akdogan).- Chapter 4 - A Machine-Learnt Approach to Market Segmentation and Purchase Prediction Using Point-of-Sale (Pos) Data (Iromi R Paranavithana, Thashika D Rupasinghe, and Daniel D Prior).- Chapter 5 - Feasibility and Benefits of Small Photovoltaic Systems in Ghana (Kingsford Atanga, George Eduful and David Pulfrey).- Chapter 6 - Design of Multiple Bearing Placements for Brush Cutter Vibration Reduction (Yuki Koike, and Shingo Tsuruoka).- Chapter 7 - Experimental-Dem Hybrid Approach for Prediction Of Land Slide In Ughelli Sandstone (Adeola Grace Olugbenga, Simon Joseph Antony, Abdulkarim Nasir, Mohammed Umar Garba, Muibat Diekola Yahya).- Chapter 8 - Extracting the Efficient Model of Cylindrical and Conical Basins from Different Aspect Ratios (Shahadat Hossain Zehad, Sadman Al Faiyaz, Md Redwan Islam, and Dr. -Ing. Irfan Ahmed).
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