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What is Entropy

Interface Support for Creativity, Productivity, and Expression in Computer Graphics
Lack of order or predictability; gradual decline into disorder.
Published in Chapter:
Approach to Minimize Bias on Aesthetic Image Datasets
Adrian Carballal (University of A Coruña, Spain), Luz Castro (University of A Coruña, Spain), Nereida Rodríguez-Fernández (University of A Coruña, Spain), Iria Santos (University of A Coruña, Spain), Antonino Santos (University of A Coruña, Spain), and Juan Romero (University of A Coruña, Spain)
DOI: 10.4018/978-1-5225-7371-5.ch010
Abstract
Over the last few years, numerous studies have been conducted that have sought to address automatic image classification. These approaches have used a variety of experimental sets of images from several photography sites. In this chapter, the authors look at some of the most widely used in the field of computational aesthetics as well as the capacity for generalization that each of them offers. Furthermore, a set of images built up by psychologists is described in order to predict perceptual complexity as assessed by a closed group of persons in a controlled experimental setup. Lastly, a new hybrid method is proposed for the construction of a set of images or a dataset for the assessment and classification of aesthetic criteria. This method brings together the advantages of datasets based on photography websites and those of a dataset where assessment is made under controlled experimental conditions.
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Cyber Security Protection for Online Gaming Applications
A metric used to evaluate and describe the amount of randomness associated with a random variable.
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Bayesian Neural Networks for Image Restoration
A measure of the uncertainty associated with a random variable. Entropy quantifies information in a piece of data.
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Spiral Management: New Concept of the Social Systems Management
In the physics – rate of system´s messiness or disorder in a physical system. In the social systems theory – social entropy is a sociological theory that evaluates social behaviors using a method based on the second law of thermodynamics.
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The Ontology of Randomness
Either a dispersal of energy (Clausius) or loss of information integrity (Shannon).
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Entropy, Chaos, and Language
In general, it is the lack of order or predictability. In communications a measure of information that can be transmitted through certain channel.
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Determining Expected Utility and Entropy Ratio in the Expected Utility-Entropy Decision Model for Stock Selection Depending on Capital Market Development
Entropy is a measure of randomness. Entropy is used to help model and represent the degree of uncertainty of a random variable. It is used by financial analysts to determine the chances of a specific type of behaviour by a security or market.
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Increasing the Trustworthiness of Online Gaming Applications
A metric used to evaluate and describe the amount of randomness associated with a random variable.
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Lead-Entropy: Redefining Leadership from the Perspective of Organizational Entropy
This reflects the level of disorder within a system at all times. The entropy can at times be positive and at times negative.
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Building Secure and Dependable Online Gaming Applications
Entropy is a metric used to evaluate and describe the amount of randomness associated with a random variable.
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Thresholding Techniques for Dental Radiographic Images: A Comparative Study
It is the quantity which is used to describe the amount of information which must be coded for compression algorithm.
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Performance Evaluation of Conventional and Sustainable Pension Funds in Türkiye Before and During the COVID-19 Pandemic
Entropy method is used to determine the weights of criteria in multi-criteria decision-making problems.
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Consistency Is Not Enough in Byzantine Fault Tolerance
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Play That Funky Password!: Recent Advances in Authentication with Music
In this context, the randomness or lack of predictability of a password's distribution throughout the available space.
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Machine Learning Approach to Search Query Classification
Measurement that can be used in machine learning on a set of data that is to be classified. In this setting it can be defined as the amount of uncertainty or randomness (or noise) in the data. If all data is classified with the same class, the entropy of that set would be 0. The entropy of a set T that has a probability distribution of classes {p1, p2,…pn} can be defined as .
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Alertness Monitoring System for Vehicle Drivers using Physiological Signals
Average amount of information contained in a sample drawn from a distribution or data stream. Measure of uncertainty of the source of information.
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Natural Approach to Circularity in Creation of Cities
A measure of the energy dispersal in the system (the higher the entropy, the higher the disorder).
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Entropy and Thermodynamics in Biomolecular Simulation
A counting of the states available to a system in a logarithmic scale. In thermodynamics, this is multiplied by Boltzmann’s constant k B , which is only due to our arbitrary choice for the units of temperature. Entropy in information theory and thermodynamics is equally a measure of the multiplicity of states.
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Security Framework for Smart Visual Sensor Networks
Entropy is a measure of amount of uncertainty or disorder present in the system within the possible probability distribution. The entropy and amount of unpredictability are directly proportional to each other.
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A Novel Approach of K-SVD-Based Algorithm for Image Denoising
Entropy is a measure of randomness or disorder of the system.
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Energetic Forms of Matter
Related to the second law of thermodynamics principle that all forms of energy transform from higher to lower grade states in natural circumstances as a general trend of increasing disorder in the universe.
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Decision Making in IoT Systems Based on Guided Self-Organization and Autonomic Computing in the Context of the I4.0 Era
It is a unit of measurement of the chaos and the content of the information available in a given system.
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Morphology and Entropy in Networks
is a measure for disorder that can, for organizations, be defined as e = - S [Pi * log Pi] for (i = 1 to m) where Pn is the probability that a certain interaction link in the organization will exist.
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Image Enhancement Techniques Using Particle Swarm Optimization Technique
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Ensemble Clustering Data Mining and Databases
In information theory this notion, introduced by Claude Shannon, is used to express unpredictability of information content. For instance, if a data set containing n items was divided into k groups each comprising n i items, then the entropy of such a partition is H = p 1 log( p 1 ) + … + p k log( p k ), where p i = n i / n . In case of two alternative partitions, the mutual information is a measure of the mutual dependence between these partitions.
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Privacy Preservation in Information Systems
Entropy is the measure of the degree of uncertainty contained in a random variable.
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Comprehensive Overview of Autonomous Vehicles and Their Security Against DDoS Attacks
A high entropy means low information gain, and a low entropy means high information gain.
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