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Soundness of Cement01:17

Soundness of Cement

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The soundness of cement refers to the ability of cement paste to retain its volume after setting. Unsound cement can lead to expansion and structural damage due to the presence of free lime, magnesia, and calcium sulfate. Free lime hydrates very slowly, expanding and causing unsoundness, which is difficult to detect because it intercrystallizes with other compounds. Magnesia also reacts with water, forming crystals that can disrupt the cement's structure. Calcium sulfate can create...
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Heart Sounds01:15

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Heart sounds are generated by the turbulence in blood flow due to the closing of heart valves. These sounds are best perceived slightly away from the valves, where the blood flow disseminates the sound.
Auscultation is the process of listening to these internal body sounds using a stethoscope. The heart produces four types of sounds, but only two—S1 and S2—can usually be heard with a stethoscope.
S1, also known as the "lub" sound, is caused by the closure of atrioventricular (A-V)...
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Korotkoff Sounds01:12

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Korotkoff sounds are the specific sounds heard while measuring blood pressure using a sphygmomanometer, typically with a stethoscope or a Doppler device. They are named after Russian physician Nikolai Korotkov, who first described them in 1905. These sounds correspond to turbulent blood flow in the artery as the blood pressure cuff is gradually released after inflation.
During blood pressure assessment, inflating the cuff 30 millimeters of mercury above the patient's systolic blood pressure...
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Sound Waves01:01

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Sound waves can be thought of as fluctuations in the pressure of a medium through which they propagate. Since the pressure also makes the medium's particles vibrate along its direction of motion, the waves can be modeled as the displacement of the medium's particles from their mean position.
Sound waves are longitudinal in most fluids because fluids cannot sustain any lateral pressure. In solids, however, shear forces help in propagating the disturbance in the lateral direction as well....
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Sound Intensity00:58

Sound Intensity

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The loudness of a sound source is related to how energetically the source is vibrating, consequently making the molecules of the propagation medium vibrate. To measure the loudness of a source, the physical quantity of interest is the intensity. This is defined as the energy emitted per unit of time per unit of area perpendicular to the sound wave's propagation direction. Since the total energy is greater if the source vibrates for a longer duration and over a larger area, dividing the...
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Speed of Sound in Gases01:08

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The speed of sound in a gaseous medium depends on various factors. Since gases constitute molecules that are free to move, they are highly compressible. Hence, sound waves travel slowly through gases. Thermodynamics helps us understand the relationship between pressure, volume, and temperature of gases, thus, the speed of sound in an ideal gas can be determined using the laws of thermodynamics. At the same time, Newton's laws of motion and the continuity equation of fluid dynamics also come...
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Muestreo adaptativo para la optimización de la ubicación de sensores en la reconstrucción del campo sonoro

Yiming Han1, Fanqin Hong1, Dongcai Wang1

  • 1Key Laboratory of Modern Acoustics, Institute of Acoustics, Nanjing University, Nanjing 210093, China.

The Journal of the Acoustical Society of America
|January 21, 2026
PubMed
Resumen
Este resumen es generado por máquina.

El muestreo adaptativo (AS) mejora la colocación de sensores para la reconstrucción del campo sonoro. Este nuevo método es más eficiente para campos no estacionarios, utilizando menos sensores que las técnicas no adaptativas tradicionales.

Palabras clave:
muestreo adaptativoreconstrucción del campo sonorocolocación de sensorescampos no estacionarioseficiencia de sensores

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Área de la Ciencia:

  • Acústica y Procesamiento de Señales
  • Física Computacional
  • Aprendizaje Automático

Sus antecedentes:

  • La reconstrucción del campo sonoro tiene como objetivo crear un mapa acústico continuo a partir de mediciones discretas.
  • Los métodos tradicionales de colocación de sensores a menudo no son adaptativos, adecuados para campos sonoros estáticos pero ineficientes para los dinámicos.

Objetivo del estudio:

  • Desarrollar y evaluar una estrategia de muestreo adaptativo (AS) para la colocación eficiente de sensores en la reconstrucción del campo sonoro.
  • Mejorar la eficiencia de los sensores, particularmente para entornos acústicos no estacionarios.

Principales métodos:

  • Análisis de criterios de muestreo no adaptativo dentro de un marco bayesiano/de procesos gaussianos.
  • Propuesta de una estrategia de muestreo adaptativo (AS) que combina la validación cruzada leave-one-out para la explotación y el espaciado basado en la longitud de onda para la exploración.
  • Comparación basada en simulación de AS con métodos no adaptativos en campos sonoros estacionarios y no estacionarios.

Principales resultados:

  • El muestreo adaptativo (AS) iguala a los métodos no adaptativos en campos estacionarios.
  • El AS demuestra una eficiencia significativamente mejorada en campos no estacionarios, utilizando aproximadamente la mitad del número de sensores para una precisión equivalente.
  • La estrategia AS equilibra eficazmente la adquisición de datos dirigida (explotación) con una amplia cobertura espacial (exploración).

Conclusiones:

  • El muestreo adaptativo (AS) ofrece una mejora sustancial en la eficiencia de la colocación de sensores para la reconstrucción del campo sonoro, especialmente en escenarios dinámicos.
  • El AS proporciona una solución práctica y eficiente para flujos de trabajo de medición secuencial en acústica.
  • Los hallazgos sugieren un cambio de paradigma hacia estrategias adaptativas para el diseño óptimo de redes de sensores en entornos acústicos complejos.