Advances in Engineering Research. Volume 42


Victoria M. Petrova (Editor)

Series: Advances in Engineering Research

BISAC: TEC000000

This compilation comprises eight chapters that each present a particular advancement in engineering research. Chapter One describes four theories of heat transfer analysis and optimization, analyzes the positive and negative aspects of each theory and proposes the concept of benefit-cost factor to analyze and optimize heat transfer processes. Chapter Two presents some of the main maximum power point tracking (MPPT) algorithms and evaluates some of them through a MatLab/Simulink® platform. Chapter Three discusses eye tracking technology, one of the most direct and continuous measures of attention, and its potential applications in manufacturing environments. Chapter Four focuses on the fundamentals of model predictive control and its application to multiphase electric drives for use in electric vehicles. Chapter Five presents a systematic design of a fully differential Gain-Boosted telescopic amplifier. Chapter Six deals with a method for evaluating the fine motor skills and hand-eye coordination of assembly line workers using eye-tracking technology. Similarly, the seventh chapter proposes a method of using eye-tracking technology to help understand the underlying cognitive processes of participants tasked with answering computer science questions. Finally, the eighth chapter addresses two popular problems in mechanical engineering from an inverse problem perspective.

Table of Contents


Chapter 1. Benefit-Cost Analysis of Heat Transfer Processes
(XueTao Cheng, PhD – Department of Science and Technology of Anhui Province, Hefei, Anhui Province, China)

Chapter 2. Photovoltaic Maximum Power Point Tracking Techniques: Design Strategies
(Moacyr A. G. de Brito – Federal University of Mato Grosso do Sul – UFMS, Cidade Universitária s/n, Campo Grande, MS, Brazil)

Chapter 3. Eye Tracking Applications in Real Life Manufacturing Environments: Materials Handling and Quality Control
(N. Firat Ozkan and Berna Haktanirlar Ulutas – Department of Industrial Engineering, Eskisehir Osmangazi University, Eskisehir, Turkey)

Chapter 4. Model Predictive Control for Multiphase Electric Drives
(Ignacio Gonzalez-Prieto, Mario J. Duran, Juan J. Aciego, Paula Entrambasaguas and Angel Gonzalez-Prieto – Department of Electric Engineering, University of Malaga, Malaga, Spain)

Chapter 5. Systematic Design of a Gain-Boosted Amplifier for Differential Bottom-Plate Sampling in 0.13-µm CMOS
(Maksym Kloka and Hua Tang – Stryker Corporation, Kalamazoo Michigan, US, et al.)

Chapter 6. Testing Performance of Assembly Workers by Use of Dexterity Tests and Eye-Tracking System
(Berna Haktanirlar Ulutas and N. Firat Ozkan – Department of Industrial Engineering, Eskisehir Osmangazi University, Eskisehir, Turkey)

Chapter 7. A Visualization Approach in Identifying High- and Low-Performers on Programming Comprehension
(Unaizah Obaidellah and Zubair Ahsan – Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia)

Chapter 8. Two Didactic Inverse Problems in Mechanical Engineering
(Carlos E. L. Nobrega and Rafael S. Campos – Computational Eng. Department, CEFET, Petropolis, Brazil)


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