This document is an introduction to a paper discussing maintenance, intelligent infrastructure systems, and data analysis in the railway industry. It begins with a dedication to God and an abstract summarizing changes in maintenance over 30 years due to more complex equipment, safety and environmental concerns, and pressure to reduce costs. The paper will present how maintenance personnel can adapt to meet these challenges. It then provides an overview of the paper's contents which are divided into five chapters addressing maintenance, cloud computing, data analysis, intelligent infrastructure in rail, and information processing paradigms. The document acknowledges those who helped with the paper and its sources of knowledge.

1. DEDICATION
I dedicate this paper to the Almighty God for
the Supremacy and to the Redeemer of my Soul.
I

2. ABSTRACT
Over the past thirty years, maintenance has changed. The changes are due to a
huge increase in the number and variety of physical assets (plant, equipment and
buildings) which must be maintained throughout the world, much more complex
designs, new techniques and changing views on maintenance organization and
responsibilities. Maintenance is also responding to rapidly growing awareness of
the extent to which equipment failure affects safety and the environment, a
growing awareness of the connection between maintenance and product quality,
and increasing pressure to achieve high equipment availability and to reduce cost.
This paper presents on how maintenance personnel that is the engineers and
managers can employ new ways of thinking, planning and acting to meet these
challenges.
Business are creating and processing information in an unsteady quantity and
accelerating rates. Storage capacity requirements in business are increasing
dramatically and today’s infrastructure is built on old protocol, strained by
enterprise requirements to support security, mobility and manageability couple
with information technology demands and resources to meet them, an intelligent
infrastructure can create the backbone of a sustainable society. The paper
discussed the intelligent infrastructure under seven topics namely: (1) Cloud
Computing, (2) Cognitive Computing, (3) Central Nervous system for earth
(CeNSE), (4) Data acquisition, (5) Photonic interconnects, (6) Nonvolatile
memory, (7) scalable storage.
Data analysis is the process of finding the right data to answer questions,
understanding the processes underlying the data, discovering the important patterns
in the data, and then communicating the results for decision making. The paper
explores management information system and application of the maintenance,
intelligent infrastructure systems and data analysis in Railway industry.
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3. Table of Contents
Title Pages
Dedication--------------------------------------------------------------------------------------I
Abstract ----------------------------------------------------------------------------------------II
Acknowledgement--------------------------------------------------------------------------IV
Chapter One
Maintenance-----------------------------------------------------------------------------------1 - 11
Chapter Two
Cloud Computing---------------------------------------------------------------------------12 – 46
Chapter Three
Data Analysis---------------------------------------------------------------------------------28 – 31
Chapter Four
Intelligent Infrastructure System in Rail Industry--------------------------------32 – 39
Chapter Five
Information Processing Paradigm------------------------------------------------------40 – 45
Reference----------------------------------------------------------------------------------------46
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4. Acknowledgement
My profound gratitude goes to the Almighty God for giving me life and strength to
write this paper.
I appreciate the support of my amicable Managing Director Engr. Seyi Sijwade,
Director Mechanical/Electrical/Signal and Telecommunication, Engr. Fidelis
Okhiria, Deputy Director (S&T), Engr. Bello Roni, Deputy Director (Admin.),
Mrs.M. O. Omotayo, and other Directors for their immense support.
I am greatful to the people who helped me in typing the paper, Mrs. P. I. Okonji,
Mr.Wale Adenuga, Mrs. R.C. Ojeah, Banji Oyewole and Mrs. Lola Olusanya.
Furthermore, I will like to thank and appreciate all those authors that I extracted
from their work (Thesis, Journals, Books etc), they have been a source of
knowledge to me in writing this papers.
I wish to thank my wife Mrs. Omolola Arike Onasanya and my son Oluwasegun
Onasanya for their immeasurable moral and spiritual support during this paper
work.
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