Becoming a CPA makes a big difference for accountants’ value, pay, and things they can do. I am planning to take at least two of the four exams before I graduate.”Įxplaining why it is so important to become certified, Barredo shared, “Certifying as a public accountant is a crowning jewel for accountants. I know it is a hard exam, but knowing what to expect and how to prepare was a good start for me. Ĭromwell Barredo, a senior from the Philippines majoring in accounting, said, “I received much useful information from this info session. They learned about the exam and received discounts for the Wiley CPA review course that costs $2,275.ĬPAs, or certified public accountants, are “trusted financial advisors who help individuals, businesses, and other organizations plan and reach their financial goals,” according to. More than 30 students attended the event.īYUH accounting seniors said the event benefited them greatly. 18, Carla Ng, a CPA and regional director of Wiley CPAexcel from California, introduced the CPA exam’s educational and experiential requirements and application process to BYU–Hawaii students. Both synthetic tests and field data applications demonstrate that the proposed method can effectively improve diffraction stacking images for efficient microseismic location.During the Wiley Efficient Learning Info Session on Feb. This network, trained by only synthetic datasets, works well in field data to detect source locations from images for unknown events. We define the corresponding training labels as images (with the same size as the input) with Gaussian distributions centered at the true sources. We then compute diffraction stacking images from the records and take the images as the input to the network. To train the network, we first simulate a large number of surface records from sources with various locations and mechanisms. Here, we propose a deep convolutional neural network to predict a better-focused image from a regular migration image that contains a quasi-symmetric pattern in both space and time. Various imaging conditions have been developed to solve the non-focus image problem for a non-explosive source. However, these methods may not produce accurate results if there are polarity reversals in the surface records for a double-couple or even a general moment tensor event. The methods have been widely applied for surface microseismic monitoring. Migration-based location methods (e.g., time-reverse imaging based on wave equation, Kirchhoff summation, and diffraction stacking) can effectively locate events of low signal-to-noise ratios by stacking waveforms from many receivers.
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