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Research and Technical Writing for Science and Engineering

Name: Research and Technical Writing for Science and Engineering
ISBN: 9781000541298

by Meikang Qiu, Han Qiu, Yi Zeng

February 2022

Beginner

318 pages

7h 15m

English

CRC Press

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Cover Page
Half-Title Page
Title Page
Copyright Page
Dedication Page
Contents
List of Figures
Preface
Author Bios
Section I Introduction

Chapter 1 ▪ Overview of Research
1.1 What is Research?1.1.1 Definition1.1.2 Creative–Build Something New1.1.3 Systematic–General Pattern1.1.4 Increase–Acquire and Contribute1.1.5 The Stock of Knowledge1.1.6 Summary1.2 The Process of Research1.2.1 Intellectual Discovery1.3 Classifying Research1.3.1 So, What is Good Research?1.4 Research Methods1.5 Overview of the Telehealth Systems1.6 Keyword Explanation1.7 Summary
Chapter 2 ▪ Research Integrity
2.1 Why Is Research Integrity So Important?2.2 Be the Whistleblower When You See It2.3 Fundamental Types of Research Dilemmas2.4 Falsification/Fabrication of Data2.5 Ownership of Research Materials and Data2.6 Plagiarism2.6.1 Ignorance Is Not a Valid Excuse for Plagiarism2.6.2 Paraphrasing2.6.3 Summary of Useful Guidelines for Writing2.7 Authorship/Assignment of Credit2.8 Confidentiality2.9 Introduction to CPU Scheduling in Operating System2.9.1 CPU Scheduling: Schedulers2.9.2 CPU Scheduling: Dispatcher2.9.3 CPU Scheduling: Scheduling Criteria2.9.4 Scheduling Algorithms2.9.4.1 First Come First Serve Scheduling2.9.4.2 Shortest Job First Scheduling2.10 Keyword Explanation2.11 Summary
Section II Find Your Idea of Research
Chapter 3 ▪ How to Select Research Topics
3.1 Overview3.2 Identify an Area of Interest3.3 Browse the Literature3.4 Pick a Topic and Dive3.5 Identify a Research Question3.6 List of research topics and keywords in Computer Science3.6.1 Artificial Intelligence3.6.2 Communications and Media3.6.3 Computer Science and Engineering3.7 Dynamic Programming in Research and Problem Solving3.7.1 An Example for Cost Minimization3.7.2 Greedy vs. Dynamic3.7.3 Industrial and Research Applications of Dynamic Programming3.8 Summary
Chapter 4 ▪ Literature Review and Formulating a Problem
4.1 What Is a Literature Review?4.2 Types of Literature Reviews4.2.1 Stand-Alone Literature Review Articles4.2.2 Research Proposal4.2.3 Research Report in the Workplace4.3 Common Structure of Literature Reviews4.4 What is the Literature?4.5 The “Information Cycle”4.5.1 Primary Sources4.5.2 Secondary Sources4.5.3 Tertiary4.6 Working Backwards4.7 The Published Literature4.7.1 Peer Review4.8 How to Find the Literature4.8.1 Computer Science Research Databases4.8.2 Footnote Chasing4.9 Writing the Literature Review4.10 Key Points When Writing a Literature Review4.11 Adaptive Resource Allocation in Cloud Systems4.11.1 Types of Cloud Computing4.11.1.1 IaaS (Infrastructure as a Service)4.11.1.2 PaaS (Platform as a Service)4.11.1.3 SaaS (Software as a Service)4.11.1.4 Cloud Computing vs. Traditional Web Hosting4.11.2 Task Scheduling in Cloud Computing Systems4.11.2.1 Model of Task Scheduling4.12 Keyword Explanation4.13 Summary
Chapter 5 ▪ How to Generate Research Ideas
5.1 Be Patient5.2 Collect Hunches Ready to be Stitched Together Later5.3 Connect your Hunches with the Hunches of others5.4 Diverse Minds5.5 Make Space for Hunches to Incubate5.6 Actively look for the idea fits you5.6.1 Acquire the Ability to Read and Improve Your Taste5.6.2 Recognize the Trends Associated with the Development of Research Ideas5.6.3 Make it a Habit to Think about Research Ideas5.7 Cyber Security Against Buffer Overflow Attacks5.7.1 Buffer Overflow Exploits5.7.2 Buffer Overflow Consequences5.7.3 Why C/C++ are More Vulnerable to Buffer Overflows?5.7.4 Buffer Overflow Attack Examples5.7.5 How Can We Mitigate Buffer Overflows?5.8 Summary
Section III Bring Your Idea to the Reality
Chapter 6 ▪ How to Design Algorithms
6.1 Overview6.2 The Importance of Algorithms in Computer Science6.3 How People Benefit From Algorithms6.4 Algorithms Design Techniques6.5 Questions for yourself6.6 The useful list of questions6.7 Introduction to Heterogeneous Memory Architecture6.7.1 Introduction and Basic Concepts6.7.2 Overview of Scratchpad Memory Management6.7.3 Basics of the System Model6.8 Keyword Explanation6.9 Summary
Chapter 7 ▪ How to Do Experiments
7.1 The importance of experiments in Computer Science7.2 Experimentation in Computer Science7.2.1 Empirical Dimensions7.2.2 Subjects and Topics7.2.3 Activities7.3 Five Perspectives on Experimentation in Computer Science7.3.1 Feasibility7.3.2 Trial7.3.3 Field7.3.4 Comparison7.3.5 Controlled7.4 Machine learning experimental pipelines7.4.1 How a Machine Learning Model is Built7.5 An adaptive genetic algorithm for memory allocation7.5.1 An Adaptive Genetic Solution7.5.2 Genetic Algorithm Operations7.6 Summary
Chapter 8 ▪ How to Write a Paper
8.1 Research You Topic8.2 Drafting Your Essay8.3 General Paper Structure in Computer Science8.3.1 Title8.3.2 Abstract8.3.3 Main Body Structure8.4 Effectively Use Tables and Figures to Better Elaborate Your Ideas8.4.1 Using Tables8.4.2 Using Figures8.4.3 Common Errors When Using Tables and Figures8.5 Revise Your Paper8.6 Set Up Your Personal Deep Learning Environment – Selection of the Hardware8.6.1 GPUs8.6.2 CPUs8.6.3 RAMs8.6.4 Motherboard8.6.5 Storage8.6.6 Power Supply Unit8.6.7 Cooling8.6.8 Case8.6.9 Final Checking List Before Your Shoping8.7 Summary
Section IV Put Your Work Out and Make Impacts
Chapter 9 ▪ Paper Submission and Publication
9.1 Choosing Where to Submit Your Paper9.1.1 Why Preferring Conferences?9.1.2 Why Preferring Journals?9.2 How to Submit a Research Paper to a Journal or Conference9.3 How to Write Rebuttals and Replies?9.4 Set up Your Deep Learning Environment – Software Level9.4.1 Install Graphics Drivers9.4.2 Install CUDA9.4.3 Install cuDNN9.4.4 Install and Manage Deep Learning Frameworks9.5 Summary
Chapter 10 ▪ Reference and Research Impact
10.1 Introduction10.2 Purpose of Citing References10.3 Organization of References10.4 Citation and Reference Formats10.5 Authors' Responsibilities10.6 Tasks Related to References10.6.1 Choosing References for Citation10.6.2 Inducting Citations in the Text10.6.3 Preparing the Reference List10.7 Machine Learning and Adversarial Learning – the Bug of MLs10.7.1 Overview on ML Models10.7.2 Overview of DNNs10.7.3 Adversarial Attacks on DNNs10.7.4 Existing Defenses for Poisoning Attacks10.7.5 Existing Defenses for Evasion Attacks10.8 Summary
Chapter 11 ▪ Resource, Advisor, and Time Management
11.1 Introduction11.2 General techniques for time managements11.3 Productivity and Research Writing11.4 Think Twice Before Accept a Request – How you can better concentrate on your main timeline?11.5 Summary
Section V Recap and Conclusion
Chapter 12 ▪ Critical Remarks and Chapters Recap
12.1 Overview of the recap12.2 Introduction to Computer Science Research12.3 Find your ideas for research12.4 Bring your ideas to the reality12.5 Put Your Work Out and Make Impacts
12.6 Homework and practices
12.6.1 Homework One12.6.2 Homework Two12.6.3 Homework three12.7 Final Project12.8 Possible projects or presentations
Bibliography
Index

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Cover: Research and Technical Writing for Science and Engineering, written by Meikang Qiu, Han Qiu, Yi Zeng, published by CRC Press, Taylor & Francis Group, Boca Raton, London, New York. CRC Press is an imprint of the Taylor & Francis Group, an informa business.

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ISBN: 9781000541298

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Research and Technical Writing for Science and Engineering

by Meikang Qiu, Han Qiu, Yi Zeng

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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