CALL FOR BOOK CHAPTERS

JUPITER PUBLICATIONS CONSORTIUM

Proposals Submission Deadline:March 31, 2019Full Chapters Due: April 20, 2019

EDITORDr. J.IndumathiProfessorDepartment of Information Science and TechnologyAnna UniversityChennai

Send your Book chapters to:jpcisbniot@gmail.com

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CALL FOR CHAPTERS

EDITOR

Dr. J.Indumathi

CALL FOR CHAPTERS

Proposals Submission Deadline is March 31, 2019

Verdicts on acceptance/ rebuttal of papers by April 06, 2019

Verdicts on acceptance/ rebuttal of papers after second

round of reviews by April 10, 2019

Full Chapters Due is April 12, 2019

INTRODUCTION

The book titled, “Everyware: Internet Of Things (IoT), Industrial

Internet Of Things (IIoT) And Industry 4.0”, aims to provide the

pertinent, IoT system architecture, theoretical framework, IoT enabling Technologies, IoT communication and networking

protocols, IoT services and applications, the social implications of

IoT, latest research trends, state-of-the-art developments, challenges and unsolved open problems. The socio-technical

marvels of Internet of Things (IoT) has the ability to uproot the

existence of the human society. IoT assures the (inter-) connection of innumerable of things proving services to humans and

machines. In the IoT world, the real, digital and the virtual are

flocking to create smart environments that make energy, transport, cities and many other areas more intelligent. The

articles invited and to be published are a balanced mix of high

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quality theoretical and empirical research articles, case studies, book reviews, tutorials, and editorials.

OBJECTIVE

The book titled as, “Everyware: Internet Of Things (IoT),

Industrial Internet Of Things (IIoT) And Industry 4.0”, is aimed

at compiling a diverse collection of topics ranging from concepts to

exploration along with case studies and analytics processes in the

IoT, IIoT, Industrial 4.0 environments.

TARGET AUDIENCE

This edited book titled as, “Everyware: Internet Of Things (IoT),

Industrial Internet Of Things (IIoT) And Industry 4.0”, will be

of significance and will cater to an extensive cross-sectional and

multi-disciplinary readership ranging from the Academic,

Business Delegates, CEO's, Communication designers, computer

scientists, digital customers, e-commerce, e-decision makers,

eLearning environment designers ,Industrial Leaders, Industry

Consultants, key workers ,Law Enforcement Agencies, learners

themselves, librarians, managers, Practitioners, Professionals,

Professors, profit/non-profit e-organizations, programmers, R&D/

professional research communities, Security architects,

stakeholders, Students, support staff and University Researchers/

Scholars of the various communities, such as Artificial

Intelligence, cyber-physical systems, ethics, robotics, safety

engineering, safety-critical systems, standardization and

certification digital forensics and application domain communities

such as aerospace, agriculture, automotive, critical

infrastructures, healthcare, manufacturing, retail , smart

transports, smart cities and smart healthcare, using real case

studies and project outcomes, showing the intricate details of IOT

in these real-life scenarios. As a final point, this book will provide

up-to-date, premeditated, and creative information to those

engrossed in all human folk working in the field of IoT. As a final

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point, this book will provide up-to-date, premeditated, and creative

information to those engrossed in all human folk working on IoT.

PRIME AREAS TO BE COVERED/TOPICS OF INTEREST/

RECOMMENDED TOPICS/TENTATIVE CONTENTS

The book, “Everyware: Internet Of Things (IoT), Industrial Internet Of Things (IIoT) And Industry 4.0”, book greets new

insights that shoves the envelope of what is presently probable in

the internet of everything environment. This book seeks submissions on the following topics:

Integration of Physical and Virtual Artifacts and Events: Advanced object identification, classification, and

localization

Internet of Things Architecture: Novel information

architecture design on field, edge, and cloud devices; object access and networking technology; investigation of

technologies that support the mobility of functions and

executions across system entities. Interoperability of IoT Systems: Service discovery and

composition, synchronization in distributed systems,

overcoming siloization of IoT systems, semantic data description frameworks.

IoT Interactions: Novel methods and techniques for

seamless human-to-object and object-to-object interactions, including Augmented Reality and Virtual Reality

interactions.

Physical World Event Processing and

Understanding: Novel data collection, deep learning, reality mining, and prediction methods based on physical world

observations. This might include real-time decision making,

event processing, and extracting information from large datasets.

Real World Applications of IoT technology: Evaluation of

challenges of real world deployments of Industry 4.0, Industrial Internet, and GS1 implementations, including

planned deployments (e.g., in advanced Manufacturing and

Logistics).

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Social Acceptance of IoT Systems: Data security, authentication and authorization. Privacy protection, data

sharing technologies (incl. blockchain technology),

tampering protection and detection in IoT systems. Web Technologies for the IoT: Web-based discovery,

search, and service composition to facilitate interactions

between devices on the IoT and with users.

The Domains of application to be covered in this publication comprise, but are not limited to:

critical infrastructures, smart grids, SCADA

education & training

highly automated and autonomous systems, advanced

robotics, construction engines and off-road vehicles

logistics, industrial automation, off-shore technology

medical devices and healthcare

railways, automotive, space, avionics, nuclear and process industries

safety-related applications of smart systems and IoT

(Internet of Things, Smart Anything Everywhere)

surveillance, defense, emergency & rescue

telecommunications and networks

Probable topics to be addressed by proposals include, but are not limited to:

1. INTERNET OF THINGS (IOT) FUNDAMENTALS

Context-Awareness and Location-Awareness Data and Knowledge Management

Energy Efficiency

Future of IoT and Big Data

Intelligent Systems for IoT and Services Computing

Machine to Machine Communications

Mobile Services Network Design and Architecture

Networking and Communication Protocols

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Performance Evaluation and Modeling Security, Privacy and Trust

Social Implications for IoT

Software Architecture and Middleware

2. BIG DATA FOR MULTI-DISCIPLINE SERVICES

Analytics, Intelligence and Knowledge

Engineering

Big Data Fundamentals - Services Computing,

Techniques, Recommendations and Frameworks

Biomedical Experiments and Simulations

Business, Finance and Management

Cancer and Tumor Studies with Big Data

Case Studies of Real Adoption

Data Center Enabled Technologies

Data Management for Large Data

DNA Sequencing, Organ Simulations and Processing

Earth Science Simulation and Processing

Education and Learning

Energy, Environment and Natural Science

Applications

GPUs and Visualization

HCI and Gaming

Healthcare Services and Health Informatics

Large-Scale Information Systems and

Applications

Modeling, Experiments, Sharing Technologies &

Platforms

Modern Architecture

Networking and Social Networks

Open Data: Issues, Services and Solutions

Proofs-of-Concepts and Large-Scale Experiments

Risk Modeling, Simulation, Legal Challenges

Security, Privacy and Risk

Sensor, Wireless Technologies, APIs

Smart City and Transportation

Social Networks Analysis, Media and

eGovernment

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Social Science and Implications for Big DataSoftware Frameworks (MapReduce, Spark

Etc) and Simulations

SQL/NoSQL Databases, Data Processing

Techniques, Visualization and Modern Technologies

Volume, Velocity, Variety, Veracity and Value

3. HIGH PERFORMANCE AND DATA COMPUTING

• Big Data analysis and Management,

• Big Data Networking Technologies,

• Cloud Applications, • Cloud as a Service,

• Cloud Computing Technologies,

• Cloud Infrastructure, • Cloud Management,

• Cloud Security,

• Cluster computing. • Clustering and Classification,

• Computer Vision,

• Data Analytics, • Data Mining,

• Data warehouse and applications,

• Deep Learning,

• Graph-based Data Analysis, • Grid Computing,

• Intelligent Control System,

• Knowledge Representation and Reasoning, • Machine Learning,

• Pattern Recognition

4. NETWORKING AND COMMUNICATIONS TECHNOLOGIES

FOR IOT

5G enabling IoT technology

802.11 based IoT technology

Ad hoc and wireless sensors network,

Ad Hoc networking

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Big data

Cloud computing, fog computing, and edge

computing

Cognitive radio applications and spectrum

management,

Interoperability of heterogeneous wireless

networks of different standards,

Cross-layer Solutions,

Delay tolerant network,

Green Networking

Information acquisition and processing

technology based on artificial intelligence (AI)

Internet and web applications,

Intrusion detection systems, RFID systems,

IoT Standardization

IP multimedia subsystems (IMS),

Key technologies for NB-IoT

M2M and V2X

Mobile Communication standards,

Mobile computing,

Multi-media technology

Multiple access control technology

Network architectures

Network architectures and protocols,

New waveform

PHY technology

QoS guarantee technology

Radio transmission technologies,

RFID networks and protocols,

Routing algorithms and protocols

Sensor networking

Ultra-dense networking technology

Wireless intelligent networks.

Wireless security system

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5. INTERNET OF THINGS (IOT) APPLICATIONS AND SMART INNOVATION AND USAGE OF IOT

“Situational Awareness” for farmers and

engineers in the field

3D Printing

Advance Manufacturing,

AI and the future of agriculture

AI in farming - personal care for plants

Ambient Intelligence Sensor Networks and

Embedded System,

Anywhere, anytime access to data,

Application of smart devices – using IT to drive

processes

Architecture for Secure and Interactive IoT

Artificial Intelligence

Artificial Intelligence for IoT

Augmented and Virtual Reality Interactions,

Autonomous Vehicles – The next Level of Smart

Farming

Available technologies for Farming e.g. drones, sensors, IOT, Robotics, Big Data, AI

Big data and data mining

Biotechnology

Building a Computer Vision Research Vehicle for

Agriculture

Capacity building through smart and open

governance,

Cloud solutions for smart cities,

Communication

Cross disciplinary themes

Data acquisition and handling for real-time

process adjustments

Data Analysis and Visualization for Smart City,

Data and Information infrastructure modeling,

Data Processing

Development of Test Standards for agricultural

Technology

Digital Health and Telemedicine,

Digitalization of civic services,

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Digitization in Agriculture – Insight into the network World

Education and skill development,

Efficient emergency responses,

e-Health

Electronic Technologies for in-Vehicle

Enablers and drivers for smart cities,

Energy efficiency for smart cities,

Farming Automation

Farming management with tailored software

solutions

Future challenges in smart cities

Green IoT

Green Systems and Smart City

Green Systems and Transport Systems

How the IoT affects agricultural operations

Industrial Management,

Industry 4.0

Innovations for future farming technologies

Innovative agriculture process,

Integrated sensor technology in farming equipment

Intelligent Infrastructure and Guidance Systems

Internet of Agriculture Things

Internet of Things

IoT for smart cities

IoT programming toolkits and frameworks,

IoT protocols and Transports, Security for IoT,

IoT security solutions

Localization technologies

Logistics management,

M2M Communication for agrarian Use Cases

Management and operation of the smart city,

Management of Emergencies,

Medical and agricultural image processing

Mobile technologies for IoT

Mode-to-Mode Systems

Nanotechnology

Next Generation Networks

NFC and RFID

Nitrate sensing: integrated thinking

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Pattern Recognition and Behavioral Investigations for Vehicles,

Plant and crop science for improved resource-use

Platforms for smart government,

Policies for smart urban design ,

Practical Applications of UAV in Agriculture

Precision agriculture

Precision Livestock Farming

Public private partnership (3P) model for smart

city,

Reality Check – Bringing Big Data and Analytics

to Agronomist

Real-time crop monitoring: a new vision for

agriculture

Retail Management,

Role of big data analysis in smart city ,

Security and public safety in smart cities,

Sensor networks

Sensor Networks, Remote Diagnosis and

Development

Sensors

Smart Agriculture and Farming,

Smart and green building technologies,

Smart and sustainable transport system,

Smart Cities,

Smart City Examples and Case Studies

Smart city theory modeling and simulation,

Smart devices

Smart environment and pollution control,

Smart Farming Success Stories and Real World Examples for the Agricultural IoT

Smart Grids,

Smart healthcare system,

Smart Healthcare,

Smart manufacturing and logistics,

Smart people and communities,

Smart solutions for special needs people,

Smart Textiles,

Smart Water,

Socio-technical challenges in smart city development,

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Solutions for Digital Farming

Technological Focus for Smart Environments

Technologies integration and network capabilities,

The Value of Farm Data – The Benefits of

collecting and processing agronomic data

Traffic Theory, Modeling and Simulation

Transport Safety and Mobility

Transportation Management

Ubiquitous computing,

Urban Entrepreneurships and challenges,

Using Drones in Smart Farming

Utilizing intelligent Sensors and Advancements in

Robotics for Smart Farming

Vehicle-to-Infrastructure

Vehicle-to-Vehicle

Virtual reality

Visualization of measurement data

Wearable Devices

6. IOT AND THE ENSUING REVOLUTIONS AUTOMATING

THE WORLD

Collaboration Framework for Intelligent System

Fog/Edge Computing for IoT

loT Data Management over Web/Cloud

Programming Framework for IoT

Robustness & Reliability of loT

Security & Privacy In loT

Smart Agriculture

Smart Animal Farming

Smart E-Commerce

Smart Electricity Metering and Energy

Management

Smart Heath

Smart Homes & Houses

Smart Industrial Applications

Smart Pollution Controlling

Smart Retail & Supply Chain Management

Smart Roads & Parking

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Smart Security Management

Smart Vehicles

Smart Water Monitoring System

Smart Wearable

Technology enabling IoT

Virtualization & Micro VM's

Web/Cloud Infrastructure for IoT

7. IOT AS A SERVICE

API economy: for easier and tighter integration

Federated IoT support

IoT application deployment success stories

IoT context based analytics

IoT delivery platforms: existing and emerging

platform and architectures for exposing and

interacting with IoT

IoT DevOps

IoT marketplace: for offering IoT based

applications and services

Mobile First IoT: mobile backend as a services

(MBaaS) and smartphone as data prosumers

Non Functional Requirements (NFR) for IoT :

security, scalability, responsiveness and more

Semantic Web technologies for IoT: registry,

storage

Smart objects as a service

Standardization: standard areas needed Business

models

8. EMERGING SERVICES AND ANALYTICS

Analytics as a Service (AaaS) for Any Types of

Analytics

Any Emerging Services Big Data Algorithm, Methodology,

Big Data as a Service (BDaaS) including Frameworks,

Business Models and Challenges

Business Process as a Service (BPaaS) including Workflows and Supply Chain in IoT and Big Data

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Data as a Service and Decision as a Service Education as a Service (EaaS) including eLearning

and Educational Applications

eGovernment, eCommerce, eScience and Creative Technologies for IoT and Big Data

Electronic, Logic, Robotic and Electrical

Infrastructure, Platforms and Applications Empirical Approaches and Data Processing

Techniques

Energy-Saving and Green IT Systems or Applications Financial Software as a Service (FSaaS) including

Risk and Pricing Analysis; Predictive Modeling

Framework (Conceptual, Logical or Software) Gaming as a Service (GaaS)

Health Informatics as a Service (HIaaS) for Any Type

of Health Informatics, Computation and Services

IaaS, PaaS and SaaS Quality of Service (QoS), Security, Reliability, Availability, Service Bus

Mechanisms

IaaS, PaaS and SaaS, Big Data and Analytics Demonstrations and Research Discussions from

Computing Scientists, Business IS Academics and

Industrial Consultants Integration as a Service (Data; Service; Business;

Federated IoT and Big Data)

IoT Services and Applications Middleware and Agents for IoT and Big Data, Grid

and Cluster Computing

Mobile APIs, Apps, Systems and Prototype

Natural Science as a Service (NSaaS) including Weather Forecasting and Weather Data Visualization

New Service Models

Scheduling, Service Duplication, Fairness, Load Balance for SaaS and Analytics

Security as a Service including Any Algorithms,

Methodology and Software Proof-of-Concepts SOA Based Approaches to IoT BD

Social Informatics, Challenges and

Recommendations for IoT Social Networks and Analytics

Software Engineering Approaches, including Formal

Methods, Agile Methods and Theoretical Algorithms

for IoT and Big Data

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Software Engineering for Big Data Analytics System Design and Architecture

Tenant Application Development including

Customization, Verification, Simulation, and Testing on SaaS and Analytics

User Evaluations and Case Studies

Wireless Systems and Applications

9. INTELLIGENT CONTROL AND DEVICES

Bio-inspired computing,

Biometrics,

Carbon nano tubes,

CMOS,

Computation in emerging computer system,

Data management for ubiquitous computing,

Development & Control,

Digital System & Logic Design,

FPGA,

Genetic Algorithm,

Graphene, Embedded and real-time software,

Human Machine Interface,

Human Machine interface,

Image and Video Processing,

Industrial Automation,

Information & System Security,

Intelligent control & Intelligent system,

Machine Learning in control applications,

Machine Vision,

Mechatronics & Robotics,

Medical Imaging,

MEMS,

Misbehavior detection in communities,

Molecular devices,

Multi- agent based social network modeling and

analysis

Nano Devices,

Nanotechnology and Advance Manufacturing,

NEMS,

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Network Security & privacy policies,

Neural Network,

Neural Networks based control systems, Robot

Design ,

Non-conventional and renewable energy sources,

Organic-Devices,

Parallel and Distributed Computing,

Pervasive/ubiquitous computing and systems,

Quantum Computing,

Reconfigurable Computing Systems,

Single Electron,

Soft Computing,

Software development for mobile devices,

Speech & Natural Language Processing,

Trust networks and evolution,

Virtual Reality & Web Crawlers,

Visual representation of dynamic social

networks,

VLSI and Embedded Systems,

Wearable Devices,

10. SECURITY, PRIVACY AND TRUST

Adoption Challenges and Recommendation

Algorithms, Protocol & Design for IoT-based

security

Algorithms, Software Engineering and Development

Architecture (Technical or Organizational)

Artificial Intelligence towards automated privacy

and security management

Case Studies

Conceptual Frameworks and Models

Cyber laws to ensure privacy and security in IoT

scenario — a global perspective

Data Security, Data Recovery, Disaster Recovery

Device-level integrated security for IoT devices

eCommerce and Online Banking

Education and eLearning

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Emerging Issues and Recommendations for Organizational Security

Encryption (All Aspects)

Evade risks in IoT-based Elderly Care — case

studies

Experiments of Using Security Solutions and

Proof-of-Concepts

Firewall, Access Control, Identity Management

Foundation of threats in IoT environment

Industry standards for IoT-security

Information Systems Related Issues

Integrated Security and allied electronics and

circuit design for IoT

Intrusion and Detection Techniques

Key vulnerabilities in IoT systems — A holistic

view

Large-Scale Simulations in the Cloud, Big Data

and Internet of Things

Location-Based Privacy

Malware propagation in IoT networks

Mobile security infrastructure for IoT devices

Multi-agent Systems and IoT

Privacy aspects of Smart city scenario — case

studies

Privacy in Middleware Systems in IoT

Privacy in Smart hospital and eHealth scenario

Restoration of Privacy in Big Data Analytics for

Business Intelligence

Risks in IoT-based Industry Automation and

ways to handle it

Safety in Bio-sensors for IoT

Secured Frameworks for Wireless Sensor

Networks

Security and privacy for fog and edge computing

Security and Privacy in M2M (Machine to

Machine) and IoT

Security and privacy vulnerabilities in Automated driving

Security in Nano-circuits, Nano-sensors &

Designs for IoT

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Security in Ubiquitous Computing – Foundation & Prototype

Social Engineering and Ethical Hacking:

Techniques and Case Studies

Social Network Analysis, Emerging Issues in Social Networks

Software Engineering for Security Modeling,

Business Process Modeling and Analytics

Surveys and Their Quantitative Analysis

System Design and Implementation

Testing (Software Engineering; Penetration;

Product Development)

Trust and Privacy

Trust models in IoT

Vulnerabilities of Smart home

11. I-SMAC (IOT IN SOCIAL, MOBILE, ANALYTICS & CLOUD)

Analytics as a Service (AaaS) for any Types of Analytics

Architecture for secure and interactive IoT

Batch processing engine and techniques

Business Process as a Service (BPaaS) including

Workflows and Supply Chain in IoT

Context-awareness and Location-awareness

Data Analysis and Visualization for Smart City,

Green Systems and Transport Systems

Data and knowledge as a services

Data and Knowledge Management

Education as a Service (EaaS) including e-

Learning and Educational Applications

e-Government, e-Commerce, e-Science and

Creative Technologies for IoT

Electronic, Logic, Robotic and Electrical

Infrastructure, Platforms and Applications

Energy Efficiency

Energy-saving and Green IT Systems or Applications

Financial Software as a Service (FSaaS) including

Risk and Pricing Analysis; Predictive Modeling

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Fog and Egde computing of healthcare data

Framework (conceptual, logical or software)

Future of IoT

Gaming as a Service (GaaS)

Health Informatics as a Service (HIaaS) for any

Type of Health Informatics, Computation and Services

IaaS, PaaS and SaaS quality of service (QoS),

security, reliability, availability, service bus mechanisms

Integration as a Service (data; service; business;

federated IoT)

Intelligent Infrastructure and Guidance Systems

Intelligent Systems for IoT and Services

Computing

IoT analytics

IoT and big data integrity and confidentiality

IoT platform architecture

Machine to Machine Communications

Mobile APIs, Apps, Systems and Prototype

Mobile Services

Natural Science as a Service (NSaaS) including

Weather Forecasting and Weather Data Visualization

Network Design and Architecture

Networking and Communication Protocols

Next Generation Networks

Pattern Recognition and Behavioral Investigations for Vehicles, Green Systems and

Smart City

Performance Evaluation and Modeling

Privacy preserving IoT data mining

Proactive/predictive and advanced machine

learning model

Real-life case studies of value creation through

advanced data analytic

Real-time and stream processing techniques and

algorithms

Scheduling, Service Duplication, Fairness, Load

Balance for SaaS and Analytics

Security and privacy applications

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Security as a Service including any Algorithms, Methodology and Software Proof-of-concepts

Security, Privacy and Trust

Sensor Networks, Remote Diagnosis and

Development

Simplified and distributed data processing

techniques

Smart City Examples and Case Studies

Smart home and independent living

Social Implications for IoT

Social Networks and Analytics

Software Architecture and Middleware

Software Engineering Approaches, including

Formal Methods, Agile Methods and Theoretical Algorithms for IoT

System Design and Architecture

Technological focus for Smart Environments

Tenant Application Development including

Customization, Verification, Simulation, and testing on SaaS and Analytics

Traffic Theory, Modeling and Simulation

Transportation Management

Ubiquitous machine learning

User Evaluations and Case Studies

Wireless Systems and Applications

12. INDUSTRIAL INTERNET OF THINGS

• Asset/Resource Optimization

• Customer Behavior

• Drivers of IIoT -Technology of Smart Sensors,

Robotics & Automation, Augmented/Virtual reality, Big Data Analytics, Cloud Integration,

Software applications, Mobile, Low power

Hardware devices and Scalability of IPv6-3.4X 10^38 IP address, etc

• Macro-Economic Drivers

• Predictive & Proactive maintenance • Real-Time Monitoring

• Remote Diagnosis

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13. INDUSTRY 4.0

Intelligent data analysis

Internet of things and smart manufacturing

Ambient-oriented technologies

Big data applications

Challenges in big data storage and processing

Cognitive IoT Architecture and Fog computing

Data mining analytics applied to smart cities

Data mining techniques applied to

manufacturing domain

Impact on IOT in Supply chain management

Innovative Big Data processing for IoT

Intelligent sensors and sensing applications

IoT architecture, tools and applications for data

analysis

IOT in Logistics management

IoT platforms for big data and data analytics

Logistics and supply chain management

Machine learning and Real-time intelligence

Manufacturing using IOT

Mining and recommendation techniques for IoT

environments

Performance evaluation and modelling

Smart appliance networks

Smart environments and applications

Social data mining techniques

NOTE: This list is meant to be suggestive, not exhaustive. If you have any suggestion for an interesting chapter not covered here please get in touch.

TYPE OF CONTRIBUTIONS

• Case studies: In-depth reports on the usage of Everyware: Internet Of Things (IoT), Industrial

Internet Of Things (IIoT) And Industry 4.0

technologies to alter the agricultural, health,

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education, and the governance sectors in developing countries. We especially welcome case studies from

industry experts. Case studies can cover one or

multiple themes. • Full research papers: Both quantitative and

qualitative contributions that study a particular

aspect of Everyware: Internet Of Things (IoT), Industrial Internet Of Things (IIoT) And Industry

4.0 technologies in transforming the agricultural,

health, education and the governance sectors in developing countries

• Research articles covering all aspects of Everyware:

Internet Of Things (IoT), Industrial Internet Of Things (IIoT) And Industry 4.0. Such chapters may

describe novel approaches, methods, or research

findings. Chapters reviewing common techniques or

discussing the state-of-the-art are also within the scope of the book

• Research in progress will also be considered in the

book provided the findings are of substantial relevance to this book.

• Systematic reviews that synthesize existing studies

will also be accepted

PROPOSAL SUBMISSION

A plan for the book chapter is expected from prospective Authors

before the proposal *submission due date*, describing the

objective, scope and arrangement of the proposed chapter (not more than 2 pages). A short biography of each Author (if more than

one Author) is to be submitted along with the chapter proposal.

The lead chapter Author will be communicated upon the approval of the chapter proposals, after a formal double-blind review

process, to assure relevance, quality and originality.

Mail the chapter proposals to

Prospective Author(s) interested in this theme/topic may submit a

short proposal [Title, Authors' names and contact information,

summary, keywords or an original and unpublished chapter

proposal through e-mail to bkch.iot@gmail.com with the title of the

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chapter mentioned in the subject line. The submission of chapter proposals should only be sent directly via email to Editor

(bkch.iot@gmail.com)and a copy to

Publisher(jpcisbniot@gmail.com).

SUBMISSION PROCEDURE

All submissions must be unique and should not be under evaluation by another publication. All submitted book chapter will

be reviewed on a double-blind peer review basis. Your proposal

should be submitted on or before the due date specified.

GUIDELINES FOR AUTHORS

The manuscripts should be an e-copy of full chapter submitted in

Word on a A4-sized paper with no line numbering, a line spacing

of 1.5, Times New Roman 12-point font size, margins top/bottom of 1”, margins left/right of 1.25”, and editable equations using an

equation editor in MS-WORD 2010.

A archetypal chapter will include the title, Author(s) with

affiliation/email/mailing address, introduction, literature review if

applicable, theoretical approach if applicable, materials and

methods, results and discussion, conclusions, summary, detailed

list of keywords, references using numbering system and

alphabetical order, any appendix, etc. Citations should be done

properly in the body of a chapter. Tables and figures should be

included in the text at right place just after their citation.

Specialized chapters need not follow this format. Use US English

for your manuscripts.

Please Do Not Use Copyrighted Materials that have been published

except you have reproduce consent from the original publisher.

Open Source articles can be appraised. The Publisher and Editor

are against plagiarism. Use of such material without having the

reprint permission is immoral and illegal under International Law

and may carry the fine by the Authorities. The

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manuscripts/chapters are subjected to plagiarism checking by

anti-plagiarism software at different levels. Upon acceptation of

your paper, you will be asked to submit a copyright form filled and

duly signed.

MANUSCRIPT PREPARATION

• Please prepare the book chapter according to the IEEE

format, single column • Each book chapter should be 10-15 pages

• Full papers should clearly indicate the TITLE OF THE BOOK

along with the title of the chapter

The agenda is as follows:

March 31, 2019 Deadline for Authors

April 06, 2019 Deadline for scientific Editor

April 10, 2019 Deadline for Author revisions

April 15, 2019 Sending to commercial production

April 30, 2019 Publications

INQUIRIES

Inquiries can be forwarded to

Editor Dr. J.Indumathi (E-mail: bkch.iot@gmail.com)

Publisher Er. S. Magesh, D.Tech (CSE), B.Sc (CS), M.Sc (IT), M.Tech Hons. (CSE), M.A. M.Phil. (Eng.), M.A. (Ling.) M.A

(P.Admn), MBA (E-Business)

(E-mail: jpcisbniot@gmail.com)

PUBLISHER

This book is scheduled to be published by Jupiter Publications

Consortium imprints. For additional information regarding the

publisher, please visit http://www.jpc.in.net/index.html. This publication is anticipated to be released in April 2019.

Dr. J.Indumathi, a child prodigy, has acquired B.E Degree (Electronics and Communication Engineering -1989); M.E

(Electronics Engineering -1991) and Ph.D (Information Security Engineering-2008) from Anna University. Besides these

qualifications, she has also attained her Bachelors in Zoology, Masters in Sociology and MBA in Financial Management.

By the same token, she is a Certified Privacy Lead Assessor, Chartered and Approved Valuer in Computer Technology,

Amateur Wireless Telegraph Station License holder (Restricted), Certified Six Sigma Green Belt Holder (Grade A level of

competence) and Certified Mainframe Professional.

Dr. J. Indumathi, is a polymath having flabbergasting teaching and research experience for more than 30 years. Her

interdisciplinary, expertise is outstanding, spanning diverse subject areas including Cyber Forensic, Cloud Forensics,

Digital Forensics, Cloud Crime, Cyber and Mobile Phone Forensic. She is affectionately called by her associates as

walking encyclopedia. She has a zeal for investigation, research and has innovated and improvised expansively projects

which have made a milestone in the perfection of a lifestyle of the humankind. Being a privacy researcher and activist,

she works at the intersection of Technology, Law and Policy. She has guided more than 45 M.Tech projects, 60

B.E/B.Tech projects successfully and guided 18 research scholars for their Ph.D. As a STEM professional - Computer

Science and Engineering, she has undertaken and accomplished efficaciously, several project consultancy services and

her pooled rich experience has set up an imperturbable empire; providing Consultancy services to various categories of

organizations such as Government, Industry, Academic, Public Welfare, Police and Judiciary. Owing to her noteworthy,

illustrious, Consultancy works, she was honored with an Active Consultant Award, which was awarded by Anna

University on Teachers Day 5th September 2017 at a grand gala function presided by the Honourable Higher Education

Minister for State. She has also undertaken and successfully completed several R& D and Funded Projects. Above and

beyond her academic stint she has received many awards and accolades from the various organizations, varsities and

institutions quantifying to more than 55 awards like , “IBM TGMC Drona Award,” “Distinguished Women Leadership

Award in Cyber Security & Information Privacy”, “Distinguished Fellow Award- Information Security Engineering and

Management”, “IET Scholarship Award”, “Best Director Award”, “The Best Alumni Award of the Decade”,“Best Scientist

Award”, “Best Session Paper Awards and Best Paper Awards,”“Lifetime Achievement Gratis Award”, from the renowned

National Foundation for Entrepreneurship Development, Coimbatore and the rest..

Dr. J. Indumathi has published more than 200 scientific papers published in reputed publications, filed 8 Copyrights,

and Authored 7 books. Most of her journal publications are indexed in Scopus and Web of Science. She has delivered

several technical invited talks, keynote/plenary speeches and has chaired several sessions in conferences worldwide. She

has carried innumerous edification programmes, enduring education programmes, all designed to congregate the precise

skill set essential by the functioning professionals of industries and students. She has organized a number of workshops,

seminars, conferences and short term training programs for the benefit of the Fellow Teachers and the Engineering

professionals. She is a life member of more than a century professional bodies including IEEE, ACM, CSI, High

Technology Crime Investigation Association, Information Systems Security Association, International Association of

Privacy Professionals, etc., She is a Fellow of several recognized bodies like Institution of Engineers(I.E), Institution of

Electronics and Telecommunication Engineers(I.E.T.E), etc., She is internationally recognized for her services by several

refereed organizations, programme committees Advisory committee member, editorial advisory & review boards. Dr. J.

Indumathi, who is a multifaceted, multitalented personality, is also a College Champion, District Level Volley Ball Player.

She has actively participated in N.S.S. Programme, and is an active Social Worker for the upliftment of the

underprivileged. In toting up to the above she served several other positions till 2018 which includes the First Lady

Secretary for Tamil Nadu Engineering Admissions / Tamil Nadu Common Admissions, First Lady Director for Ramanujan

Computing Centre and Convener for Computer Purchase Committee of Anna University. Presently she is serving as a

Professor in the Department of Information Science and Technology from the renowned Anna University Chennai.