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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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BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

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System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
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Linear time-invariant Systems01:23

Linear time-invariant Systems

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A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
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Convolution Properties I01:20

Convolution Properties I

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Convolution computations can be simplified by utilizing their inherent properties.
The commutative property reveals that the input and the impulse response of an LTI (Linear Time-Invariant) system can be interchanged without affecting the output:
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Classification of Systems-I01:26

Classification of Systems-I

296
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
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Convolution: Math, Graphics, and Discrete Signals01:24

Convolution: Math, Graphics, and Discrete Signals

399
In any LTI (Linear Time-Invariant) system, the convolution of two signals is denoted using a convolution operator, assuming all initial conditions are zero. The convolution integral can be divided into two parts: the zero-input or natural response and the zero-state or forced response, with t0 indicating the initial time.
To simplify the convolution integral, it is assumed that both the input signal and impulse response are zero for negative time values. The graphical convolution process...
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Video Experimental Relacionado

Updated: Sep 10, 2025

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
07:56

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

Published on: September 5, 2019

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Un esquema de cifrado de imágenes seguro y eficiente basado en sistemas caóticos y transformaciones no lineales

Wassim Alexan1, Noura H El Shabasy2, Noha Ehab3

  • 1Communications Department, Faculty of Information Engineering and Technology, German University in Cairo (GUC), New Cairo, Egypt. wassim.alexan@ieee.org.

Scientific reports
|August 25, 2025
PubMed
Resumen
Este resumen es generado por máquina.

Este estudio introduce un nuevo método de encriptación de imágenes múltiples utilizando un sistema hipercaótico 5D, el Mapa de gato de Arnold y la hormiga de Langton. La técnica ofrece una mayor seguridad y eficiencia para el cifrado de imágenes digitales, superando a los métodos tradicionales.

Palabras clave:
El mapa del gato de ArnoldLos mapas caóticosCriptografíaSistemas hipercaóticosCifrado de imágenesLa hormiga de LangtonAnálisis de seguridad

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Área de la Ciencia:

  • Ciencias de la computación
  • Criptografía
  • Seguridad de la información

Sus antecedentes:

  • El cifrado de imágenes digitales es crucial debido al aumento de los datos y la adopción de IoT.
  • Los métodos tradicionales como AES y DES son insuficientes para los datos de imagen debido a la redundancia y las necesidades en tiempo real.

Objetivo del estudio:

  • Proponer un nuevo esquema de encriptación de múltiples imágenes, seguro y eficiente.
  • Para abordar las limitaciones de la encriptación tradicional para imágenes digitales.

Principales métodos:

  • Integración de un sistema hipercaótico 5D para la generación de claves.
  • Utilizando el Mapa de gato de Arnold para la transformación y la hormiga de Langton para la codificación de píxeles (difusión).
  • Una caja S de nuevo diseño para la sustitución de bytes.

Principales resultados:

  • Logrado un gran espacio clave y baja correlación de píxeles.
  • Velocidad de encriptación rápida demostrada (0,1602s para una imagen de 512x512).
  • Los análisis de seguridad (histograma, correlación, entropía, pruebas NPCR, UACI, NIST) confirmaron la robustez.

Conclusiones:

  • El método de encriptación híbrido propuesto proporciona una alta seguridad y eficiencia.
  • Es adecuado para aplicaciones en tiempo real y es resistente a varios ataques.
  • Supera las técnicas de cifrado caótico e híbrido existentes.