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This book captures multidisciplinary research encompassing various
facets of autonomous vehicle systems (AVS) research and
developments. The AVS field is rapidly moving towards realization
with numerous advances continually reported. The contributions to
this field come from widely varying branches of knowledge, making
it a truly multidisciplinary area of research and development. The
topics covered in the book include: AI and deep learning for AVS
Autonomous steering through deep neural networks Adversarial
attacks and defenses on autonomous vehicles Gesture recognition for
vehicle control Multi-sensor fusion in autonomous vehicles
Teleoperation technologies for AVS Simulation and game theoretic
decision making for AVS Path following control system design for
AVS Hybrid cloud and edge solutions for AVS Ethics of AVS
This book gathers selected high-quality papers presented at the
International Conference on Machine Learning and Computational
Intelligence (ICMLCI-2019), jointly organized by Kunming University
of Science and Technology and the Interscience Research Network,
Bhubaneswar, India, from April 6 to 7, 2019. Addressing virtually
all aspects of intelligent systems, soft computing and machine
learning, the topics covered include: prediction; data mining;
information retrieval; game playing; robotics; learning methods;
pattern visualization; automated knowledge acquisition; fuzzy,
stochastic and probabilistic computing; neural computing; big data;
social networks and applications of soft computing in various
areas.
Intelligent Multimedia Multi-Agent Systems focuses on building
intelligent successful systems. The book adopts a human-centered
approach and considers various pragmatic issues and problems in
areas like intelligent systems, software engineering, multimedia
databases, electronic commerce, data mining, enterprise modeling
and human-computer interaction for developing a human-centered
virtual machine. The authors describe an ontology of the
human-centered virtual machine which includes four components:
activity-centered analysis component, problem solving adapter
component, transformation agent component, and multimedia based
interpretation component. These four components capture the
external and internal planes of the system development spectrum.
They integrate the physical, social and organizational reality on
the external plane with stakeholder goals, tasks and incentives,
and organization culture on the internal plane. The human-centered
virtual machine and its four components are used for developing
intelligent multimedia multi-agent systems in areas like medical
decision support and health informatics, medical image retrieval,
e-commerce, face detection and annotation, internet games and sales
recruitment. The applications in these areas help to expound
various aspects of the human-centered virtual machine including,
human-centered domain modeling, distributed intelligence and
communication, perceptual and cognitive task modeling, component
based software development, and multimedia based data modeling.
Further, the applications described in the book employ various
intelligent technologies like neural networks, fuzzy logic and
knowledge based systems, software engineering artifacts like agents
and objects, internet technologies like XML and multimedia
artifacts like image, audio, video and text.
Intelligent Multimedia Multi-Agent Systems focuses on building
intelligent successful systems. The book adopts a human-centered
approach and considers various pragmatic issues and problems in
areas like intelligent systems, software engineering, multimedia
databases, electronic commerce, data mining, enterprise modeling
and human-computer interaction for developing a human-centered
virtual machine. The authors describe an ontology of the
human-centered virtual machine which includes four components:
activity-centered analysis component, problem solving adapter
component, transformation agent component, and multimedia based
interpretation component. These four components capture the
external and internal planes of the system development spectrum.
They integrate the physical, social and organizational reality on
the external plane with stakeholder goals, tasks and incentives,
and organization culture on the internal plane. The human-centered
virtual machine and its four components are used for developing
intelligent multimedia multi-agent systems in areas like medical
decision support and health informatics, medical image retrieval,
e-commerce, face detection and annotation, internet games and sales
recruitment. The applications in these areas help to expound
various aspects of the human-centered virtual machine including,
human-centered domain modeling, distributed intelligence and
communication, perceptual and cognitive task modeling, component
based software development, and multimedia based data modeling.
Further, the applications described in the book employ various
intelligent technologies like neural networks, fuzzy logic and
knowledge based systems, software engineering artifacts like agents
and objects, internet technologies like XML and multimedia
artifacts like image, audio, video and text.
This book presents select papers from the International Conference
on Emerging Trends in Communication, Computing and Electronics
(IC3E 2018). Covering the latest theories and methods in three
related fields - electronics, communication and computing, it
describes cutting-edge methods and applications in the areas of
signal and image processing, cyber security, human-computer
interaction, machine learning, electronic devices,
nano-electronics, wireless sensor networks, antenna and wave
propagation, and mobile communication. The contents of this book
will be beneficial to students, researchers, and professionals
working in the field of networks and communications.
Computer Vision and Robotic is one of the most challenging areas of
21st century. Its application ranges from Agriculture to Medicine,
Household applications to Humanoid, Deep-sea-application to Space
application, and Industry applications to Man-less-plant. Today's
technologies demand to produce intelligent machine, which are
enabling applications in various domains and services. Robotics is
one such area which encompasses number of technology in it and its
application is widespread. Computational vision or Machine vision
is one of the most challenging tools for the robot to make it
intelligent. This volume covers chapters from various areas of
Computational Vision such as Image and Video Coding and Analysis,
Image Watermarking, Noise Reduction and Cancellation, Block
Matching and Motion Estimation, Tracking of Deformable Object using
Steerable Pyramid Wavelet Transformation, Medical Image Fusion, CT
and MRI Image Fusion based on Stationary Wavelet Transform. The
book also covers articles from applications of soft computing
techniques such as Target Searching and Tracking using Particle
Swarm Optimization, PSO-based Functional Artificial Neural Network,
etc. The book also covers article from the areas of Robotics such
as Solar Power Robot Vehicle, Multi Robot Area Exploration,
Intelligent Driving System based on Video Sequencing, Emotion
Recognition using MLP Network, Identifying the Unstructured
Environment.
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