Developments and Trends in Intelligent Technologies and Smart Systems

Developments and Trends in Intelligent Technologies and Smart Systems

Vijayan Sugumaran

Copyright: © 2018 |Pages: 351

ISBN13: 9781522536864|ISBN10: 1522536868|EISBN13: 9781522536871

DOI: 10.4018/978-1-5225-3686-4

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Sugumaran, Vijayan, editor. Developments and Trends in Intelligent Technologies and Smart Systems. IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3686-4

APA

Sugumaran, V. (Ed.). (2018). Developments and Trends in Intelligent Technologies and Smart Systems. IGI Global. https://doi.org/10.4018/978-1-5225-3686-4

Chicago

Sugumaran, Vijayan, ed. Developments and Trends in Intelligent Technologies and Smart Systems. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3686-4

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Due to the exponential rise of emerging technology, there have been significant developments in intelligent systems. This has facilitated increasing opportunities for new applications and improvements.

Developments and Trends in Intelligent Technologies and Smart Systems is a critical source of scholarly material on the design, implementation, and integration of intelligent applications across numerous industries. Highlighting a range of innovative topics such as enterprise modeling, remote patient monitoring, and service-oriented architecture, this book is ideally designed for researchers, engineers, computer scientists, academics, students, and professionals interested in the latest applications of intelligent technologies.

Table of Contents

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Front Materials

Title Page

Copyright Page

Advances in Computational Intelligence and Robotics (ACIR) Book Series

Preface

Acknowledgment

Chapters

Semantic Technologies and Agent-Based Systems

Chapter 1

Exploratory News Recommendation (pages 1-15)

Jon Atle Gulla, Özlem Özgöbek, Xiaomeng Su

Research on mobile news recommendation has become popular over the last few years, though the news domain is challenging and there are still few advanced commercial systems with success. This paper presents the exploratory news...

Chapter 2

Beyond Service-Oriented Architectures: Knowledge Services? (pages 16-27)

Ghassan Beydoun, Alexey Voinov, Vijayan Sugumaran

Predictions for Service Oriented Architectures (SOA) to deliver transformational results to the role and capabilities of IT for businesses have fallen short. Unforeseen challenges have often emerged in SOA adoption. They fall into...

Chapter 3

A Multi-Label Image Annotation With Multi-Level Tagging System (pages 28-47)

Kalaivani Anbarasan, Chitrakala S.

The content based image retrieval system retrieves relevant images based on image features. The lack of performance in the content based image retrieval system is due to the semantic gap. Image annotation is a solution to bridge the...

Chapter 4

Applying Semantic Relations for Automatic Topic Ontology Construction (pages 48-77)

Subramaniyaswamy Vairavasundaram, Logesh R.

The rapid growth of web technologies had created a huge amount of information that is available as web resources on Internet. Authors develop an automatic topic ontology construction process for better topic classification and...

Chapter 5

Norms-Adaptable Agents for Open Multi-Agent Systems (pages 78-104)

Moamin A Mahmoud, Mohd Sharifuddin Ahmad

Norms and normative multi-agent systems have become the subjects of interest for many researchers. Such interest is caused by the need for agents to exploit the norms in enhancing their performance in a community. In open agent...

Application of Computational Techniques

Chapter 6

A Pattern-Mining Approach for Wearable Sensor-Based Remote Health Care (pages 106-128)

C. Sweetlin Hemalatha, V. Vaidehi

Rapid advancement in Wireless Sensor Network (WSN) technology facilitates remote health care solutions without hindering the mobility of a person using Wearable Wireless Body Area Network (WWBAN). Activity recognition, fall detection...

Chapter 7

Crow-Search-Based Intuitionistic Fuzzy C-Means Clustering Algorithm (pages 129-150)

Parvathavarthini S., Karthikeyani Visalakshi N., Shanthi S., Lakshmi K.

Data clustering is an unsupervised technique that segregates data into multiple groups based on the features of the dataset. Soft clustering techniques allow an object to belong to various clusters with different membership values....

Chapter 8

Intelligent Radial Basis Function Neural Network for Intrusion Detection in Battle Field (pages 151-173)

Kirupa Ganapathy

Defense at boundary is nowadays well equipped with perimeter protection, cameras, fence sensors, radars etc. However, in battlefield there is more feasibility of entering of a non-native human and unknowing stamping of the explosives...

Chapter 9

A Genetic-Algorithms-Based Technique for Detecting Distributed Predicates (pages 174-190)

Eslam Al Maghayreh

One of the techniques that have been used in the literature to enhance the dependability of distributed applications is the detection of distributed predicates techniques (also referred to as runtime verification). These techniques...

Chapter 10

Clustering Mixed Datasets Using K-Prototype Algorithm Based on Crow-Search Optimization (pages 191-210)

Lakshmi K., Karthikeyani Visalakshi N., Shanthi S., Parvathavarthini S.

Data mining techniques are useful to discover the interesting knowledge from the large amount of data objects. Clustering is one of the data mining techniques for knowledge discovery and it is the unsupervised learning method and it...

Web-Based Smart Systems

Chapter 11

Smart City Portals for Public Service Delivery: Insights From a Comparative Study (pages 212-232)

Christoph Peters, Axel Korthaus, Thomas Kohlborn

The future cities of our societies need to integrate their citizens into a value-co-creation process in order to transform to smart cities with an increased quality of life for their citizens. Therefore, administrations need to...

Chapter 12

A Quantitative Study of Factors Affecting Value of Adopting Self-Service Banking Technology (SSBT) Among Customers in Developing and Developed Countries (pages 233-260)

Fouad Omran Elgahwash

Self-service banking technology (SSBT) allow customers to perform services on their own without direct assistance from staff. This study focuses on factors affecting the value of adopting self-Service banking technology (SSBT) among...

Chapter 13

Modularising the Complex Meta-Models in Enterprise Systems Using Conceptual Structures (pages 261-283)

Simon Polovina, Hans-Jurgen Scheruhn, Mark von Rosing

The development of meta-models in Enterprise Modelling, Enterprise Engineering, and Enterprise Architecture enables an enterprise to add value and meet its obligations to its stakeholders. This value is however undermined by the...

Chapter 14

Communication Trends in Internet of Things (pages 284-305)

Bharathi N. Gopalsamy

The central hypothesis of Internet of Things is the term “connectivity”. The IoT devices are connected to the Internet through a wide variety of communication technologies. This chapter explains the various technologies involved in...

Back Materials

Compilation of References

About the Contributors

Index

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