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Tapes are essential in surveying for accurate, durable, and short-distance measurements. Made from lightweight, nylon-coated steel, they offer flexibility and strength for rugged outdoor use. The nylon coating protects against rust and wear, extending the tape's life. Standard lengths, around 30 meters, are marked in meters and millimeters for precision.Surveyors select tapes based on site conditions and accuracy needs. Lightweight, nylon-coated tapes are commonly used for ease of handling and...
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Un marco de descubrimiento de la verdad basado en grupos asistidos por la niebla sobre multitudes móviles que

Bayan Hashr Saeed Alamri1,2, Muhammad Mostafa Monowar2, Suhair Alshehri2

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Este estudio introduce un nuevo marco de descubrimiento de la verdad basado en grupos de dos capas (TGTD) para flujos de datos de detección de multitudes móviles (MCS). TGTD mejora la precisión de los datos en las aplicaciones de MCS basadas en grupos al mejorar el descubrimiento de la verdad.

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Área de la Ciencia:

  • Ciencias de la computación
  • Ciencia de los datos
  • Computación móvil

Sus antecedentes:

  • La detección de multitudes móviles (MCS) se enfrenta a desafíos de inconsistencia de datos debido a diversas fuentes de datos.
  • El comportamiento grupal y la participación a nivel comunitario están influyendo cada vez más en las aplicaciones de MCS.
  • Los métodos existentes de descubrimiento de la verdad (TD) luchan con la escala y las demandas en tiempo real de los flujos de datos MCS.

Objetivo del estudio:

  • Proponer un nuevo marco de descubrimiento de la verdad basado en grupos asistidos por niebla para flujos de datos MCS.
  • Para abordar la inconsistencia de datos y la dinámica de grupo en aplicaciones de MCS en tiempo real.
  • Mejorar la precisión y eficiencia del descubrimiento de la verdad en entornos dinámicos de MCS a gran escala.

Principales métodos:

  • Desarrolló un mecanismo de descubrimiento de la verdad basado en grupos de dos capas (TGTD).
  • Las ponderaciones inicializadas de los participantes utilizan niveles de credibilidad.
  • Integró una arquitectura asistida por niebla para el procesamiento en tiempo real de flujos de datos MCS.

Principales resultados:

  • El marco TGTD demostró una precisión superior en el descubrimiento de la verdad en comparación con los enfoques de TD en streaming existentes.
  • El marco propuesto mantuvo un tiempo de ejecución razonable, demostrando su eficacia.
  • Los extensos experimentos con conjuntos de datos sintéticos y del mundo real validaron la eficacia del marco.

Conclusiones:

  • El Marco de Descubrimiento de la Verdad basado en grupos asistido por Fog ofrece una solución efectiva para la inconsistencia de datos en MCS.
  • TGTD maneja con éxito la dinámica de grupo y los requisitos de procesamiento en tiempo real.
  • Se recomienda una mayor investigación sobre la simulación de la arquitectura de la niebla para los procesos de flujo para trabajos futuros.