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Entropy02:39

Entropy

33.6K
Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
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Entropy01:18

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The first law of thermodynamics is quantitatively formulated via an equation relating the internal energy of a system, the heat exchanged by it, and the work done on it. A quantitative formulation of the second law of thermodynamics leads to defining a state function, the entropy.
When an ideal gas expands isothermally, the disorder in the gas increases. From the molecular perspective, the gas molecules have more volume to move around in.
Consider an infinitesimal step in the expansion, which...
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Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

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In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
3.0K
Entropy and Solvation02:05

Entropy and Solvation

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The process of surrounding a solute with solvent is called solvation. It involves evenly distributing the solute within the solvent. The rule of thumb for determining a solvent for a given compound is that like dissolves like. A good solvent has molecular characteristics similar to those of the compound to be dissolved. For example, polar solutions dissolve polar solutes, and apolar solvents dissolve apolar solutes. A polar solvent is a solvent that has a high dielectric constant (ϵ...
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Protein Diffusion in the Membrane01:24

Protein Diffusion in the Membrane

5.2K
Proteins show rotational as well as lateral diffusion across the membrane. The lateral diffusion of proteins was confirmed through the cell fusion experiment where mouse and human cells were fused, resulting in hybrid cells. When the human and mouse cells fused, the specific membrane proteins on human and mouse cells were marked with the red and green-fluorescent markers, respectively. Initially, the red and green fluorescence was located on the respective hemisphere of the cell. As time...
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Transformations of Functions III01:20

Transformations of Functions III

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Transformations modify the graphical representation of a function without changing its fundamental form. One common transformation is reflection, which flips the graph across a designated axis. When the vertical coordinates of all points are multiplied by the negative one, the entire graph is mirrored over the horizontal axis. This transformation reverses the vertical orientation of peaks and troughs, akin to signal inversion in electrical systems, where a waveform is flipped, but the timing of...
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Related Experiment Video

Updated: Nov 27, 2025

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
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Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

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Cryptanalysis and Improvement of a Chaotic Map-Based Image Encryption System Using Both Plaintext Related Permutation

Cheng-Yi Lin1, Ja-Ling Wu1

  • 1Department of Computer Science and Information Engineering, Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei 106, Taiwan.

Entropy (Basel, Switzerland)
|December 8, 2020
PubMed
Summary
This summary is machine-generated.

This study reveals flaws in a chaotic map-based image encryption system, showing its vulnerability to chosen-plaintext attacks. An enhanced algorithm is proposed to fix these security issues.

Keywords:
chaotic mapcryptanalysisdiffusionimage encryptionpermutation

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Area of Science:

  • Cryptography
  • Image Processing
  • Applied Mathematics

Background:

  • Effective cryptosystems require high key and plaintext sensitivities to resist various attacks.
  • Plaintext sensitivity ensures that encrypted outputs are dependent on the original input.
  • Chaotic map-based systems are explored for image encryption due to their complex dynamics.

Purpose of the Study:

  • To perform a detailed cryptanalysis of a published chaotic map-based image encryption system.
  • To identify design flaws that compromise the system's security.
  • To propose an enhanced algorithm to address identified vulnerabilities.

Main Methods:

  • Cryptanalysis of a specific chaotic map-based image encryption algorithm.
  • Evaluation of plaintext sensitivity and susceptibility to chosen-plaintext attacks.
  • Development and proposal of a modified encryption algorithm.

Main Results:

  • The published chaotic map-based image encryption system exhibits vulnerabilities.
  • The system is susceptible to chosen-plaintext attacks due to specific design flaws.
  • An enhanced algorithm was developed to improve the system's security.

Conclusions:

  • The analyzed chaotic map-based image encryption system is not secure against chosen-plaintext attacks.
  • Enhancements are necessary to ensure the robustness of chaotic map-based image encryption.
  • The proposed enhanced algorithm aims to provide a more secure solution for image encryption.