In this paper, a data compression technology-based intelligent data acquisition (IDAQ) system was developed for structural health monitoring of civil structures, and its validity was tested using random signals (El-Centro seismic waveform). The IDAQ system was structured to include a high-performance CPU with large dynamic memory for multi-input and output in a radio frequency (RF) manner. In a...

An intelligent sensor network is a distributed signal processing system, which consists of interacting nodes performing real-time data acquisition and signal processing. An overview of this system is presented in Fig.1. A node is basically a low-scale processing unit (a DSP or a microprocessor that performs digital signal processing) that processes discrete data from sensors via AD converters. ...

Introduction High-resolution seismic reflection has been successfully used to delineate preferential pathways within groundwater systems that represent corridors for contaminant movement in a wide variety of challenging hydrologic settings, many in settings where other methods and/or monitor wells have not been enlightening. For more than four decades, seismic reflection has found utility addre...

based on the convolutional model, a seismic trace is the convolution of seismic source wavelet and reflection coefficient series of the earth. seismic source wavelet estimation is one of the most important stages in processing and interpretation of seismic data. accurate estimation of wavelet increases the efficiency of the deconvolution and temporal resolution of seismic data. on the other han...

Introduction: The Silverpit impact structure was discovered during 2001 on three-dimensional (3D) seismic data obtained during routine hydrocarbon exploration in the southern North Sea [1]. It is now known that five commercially-acquired 3D seismic datasets partially cover the structure and approximately 80% of Silverpit is imaged by high-resolution 3D data (Figure 1). Two boreholes had been dr...