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21 Result(s)
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Amit Konar
Mathematical and Computational Engineering
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Book
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Book
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Chapter
Electroencephalographic Signal Processing for Detection and Prediction of Emotion
This chapter deals with processing of electroencephalographic signals for detection and prediction of emotion. Prediction of electroencephalographic signal form past samples are needed for early diagnosis of p...
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Chapter
Open Research Problems
This chapter outlines some open research problems in Emotional Intelligence. It begins with reasoning with and without emotions, and justifies that reasoning with emotions may introduce contradictions, and thu...
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Conclusions and Future Research
This Chapter provides a critical review of the works presented in this Volume and also narrates the scope of potential applications of the different metaheuristic-based automatic clustering schemes in data min...
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Chapter
Multiple Emotions and Their Chaotic Dynamics
The chapter addresses the issues of co-operation/competition of multiple emotional states in the human brain, and realizes the same using a recurrent neural dynamics. It also deals with stability analysis of d...
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Chapter
Mathematical Modeling and Analysis of Dynamical Systems
This chapter provides mathematical preliminaries on dynamical systems to enable the readers to visualize the dynamic behavior of physical systems, with an ultimate aim to construct models of emotional dynamics...
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Chapter
Control of Mental Stability in Emotion-Logic Interactive Dynamics
Stability of physical system is usually analyzed from the static and dynamic considerations of the system. Classical logic of propositions can be compared with a static physical system from the point of view o...
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Metaheuristic Pattern Clustering – An Overview
This chapter provides a comprehensive overview to the data clustering techniques, based on naturally-inspired metaheuristic algorithms. At first the clustering problem, similarity and dissimilarity measures be...
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Chapter
Modeling and Analysis of the Population-Dynamics of Differential Evolution Algorithm
Theoretical analysis of the dynamics of evolutionary algorithms is believed to be very important to understand the search behavior of evolutionary algorithms and to develop more efficient algorithms. In this c...
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Chapter
Fuzzy Clustering in the Kernel-Induced Feature Space Using Differential Evolution Algorithm
This chapter introduces a scheme for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring groups in the data. The proposed method is based on...
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Chapter
Introduction to Emotional Intelligence
This chapter provides an introduction to emotional intelligence. It attempts to define emotion from different perspectives, and explores possible causes and varieties. Typical characteristics of emotion, such ...
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Chapter
Preliminaries on Image Processing
This chapter provides an introduction to digital image processing. With a brief review on file formatting of images, it addresses the well-known frequency domain transforms such as discrete Fourier and discret...
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Chapter
Fuzzy Models for Facial Expression-Based Emotion Recognition and Control
The chapter examines the scope of fuzzy relational approach to human emotion recognition from facial expressions, and its control. Commercial audio-visual movies pre-selected for exciting specific emotions hav...
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Chapter
Applications and Future Directions of Emotional Intelligence
This chapter provides various applications of emotional intelligence, and possible extension of the research methodologies presented in previous chapters. It begins with human-machine interactive systems, emph...
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Chapter
Differential Evolution Algorithm: Foundations and Perspectives
Differential Evolution (DE) has recently emerged as simple and efficient algorithm for global optimization over continuous spaces.DE shares many features of the classical Genetic Algorithms (GA). But it is muc...
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Chapter
Automatic Hard Clustering Using Improved Differential Evolution Algorithm
This chapter describes a Differential Evolution (DE) based algorithm for the automatic clustering of large unlabeled datasets. In contrast to most of the existing clustering techniques, the proposed algorithm ...
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Chapter
Clustering Using Multi-objective Differential Evolution Algorithms
This chapter introduces the task of fuzzy clustering in a Multi-objective Optimization (MO) framework. It compares the performances of four recently developed multi-objective variants of Differential Evolution...
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Chapter
Brain Imaging and Psycho-pathological Studies on Self-regulation of Emotion
Emotion regulation shares knowledge from several disciplines including psychology, neuroscience, philosophy and cybernetics. Plato, Aristotle and the Stoich emphasized relative importance of reasoning to emoti...
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Chapter
Swarm Intelligence Algorithms in Bioinformatics
Research in bioinformatics necessitates the use of advanced computing tools for processing huge amounts of ambiguous and uncertain biological data. Swarm Intelligence (SI) has recently emerged as a family of n...
