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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.
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Entropy and the Second Law of Thermodynamics01:20

Entropy and the Second Law of Thermodynamics

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The second law of thermodynamics can be stated quantitatively using the concept of entropy. Entropy is the measure of disorder of the system.
The relation  between entropy and disorder can be illustrated with the example of the phase change of ice to water. In ice, the molecules are located at specific sites giving a solid state, whereas, in a liquid form, these molecules are much freer to move. The molecular arrangement has therefore become more randomized. Although the change in average...
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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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Theories of Dissolution: Diffusion Layer Model01:15

Theories of Dissolution: Diffusion Layer Model

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Dissolution, the process by which drug particles dissolve in a solvent, is explained by the diffusion layer model, a theoretical framework that simulates the absorption of oral drugs and allows us to analyze experimental data.
This process starts with a thin layer, saturated with the drug, forming at the interface between the solid and liquid. The solute then diffuses from this layer into the main solution. The Noyes-Whitney equation suggests that the rate of dissolution relies on the diffusion...
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The Second Law of Thermodynamics01:14

The Second Law of Thermodynamics

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In the quest to identify a property that may reliably predict the spontaneity of a process, a promising candidate has been identified: entropy. Scientists refer to the measure of randomness or disorder within a system as entropy. High entropy means high disorder and low energy. To better understand entropy, think of a student’s bedroom. If no energy or work were put into it, the room would quickly become messy. It would exist in a very disordered state, one of high entropy. Energy must be...
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Cyclic Processes And Isolated Systems01:19

Cyclic Processes And Isolated Systems

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A thermodynamic system with zero heat exchange and work is an isolated system. For these systems, the internal energy remains constant.
In the case of a non-isolated system, the change in the internal energy is zero only if the process is cyclic. A thermodynamic process is considered cyclic if the system undergoes a series of changes and returns to its initial state. 
Consider a cyclic process that returns to its initial state, undergoing a four-step process. The heat transfer along each...
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Related Experiment Video

Updated: Oct 22, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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A chaos theory inspired, asynchronous two-way encryption mechanism for cloud computing.

Ravinder Rao Peechara1, Sucharita V2

  • 1Department of Computer Science, Koneru Lakshmaiah Education Foundation, Guntur, Andra Pradesh, India.

Peerj. Computer Science
|August 30, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces chaotic series for generating highly random encryption keys, addressing data security concerns. Novel validation methods ensure key randomness, improving cloud transaction security and data transmission efficiency.

Keywords:
Chaos theoryHigher order randomnessKey generationData encryptionEvent basedRandomness validation

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Area of Science:

  • Computer Science
  • Cryptography
  • Network Security

Background:

  • Increasing internet data exchange heightens security risks.
  • Current encryption key generation methods lack sufficient randomness and predictability.
  • Existing algorithms struggle with high-volume transactional data.

Purpose of the Study:

  • To propose solutions for generating highly random encryption keys.
  • To introduce a novel validation test for key randomness.
  • To enhance security for high-volume cloud-based transactions.

Main Methods:

  • Utilizing chaotic series for high-randomness key generation.
  • Developing a non-traditional validation test for key randomness.
  • Implementing correlation algorithms for data security.

Main Results:

  • Achieved a high degree of randomness in generated encryption keys.
  • Demonstrated approximate 100% probability of vital phase for long-time intervals.
  • Showcased 3% to 4% improvement in data transmission time for cloud transactions.

Conclusions:

  • Chaotic series effectively generate random keys for secure data exchange.
  • The novel validation test confirms true randomness of generated keys.
  • Proposed algorithms offer enhanced security and efficiency for cloud-based transactions, potentially resolving long-standing communication bottlenecks.