Jung Woo Ha

Title: Jung Woo Ha: Innovator in Data Classification and Sound Analysis

Introduction

Jung Woo Ha is a prominent inventor based in Seongnam-si, South Korea. He has made significant contributions to the fields of data classification and sound analysis, holding a total of 2 patents. His innovative approaches leverage deep learning techniques to enhance data processing and sound recognition.

Latest Patents

Jung Woo Ha's latest patents include a data collecting method and system that focuses on determining highlight sections of a sound source. This method involves obtaining a sound source along with its classification information and utilizing a neural network for analysis. The neural network is structured with an input layer, hidden layer, and output layer, incorporating an attention model to calculate weighted sums of feature values from various sections of the sound source. The highlight section is determined based on the weight information of these feature values.

Another notable patent is a method and system for automatically classifying data expressed by multiple factors using deep learning. This system inputs data to create a word vector that captures sequence information, which is then processed through a two-model approach to classify categories based on calculated points. This innovative method streamlines the classification of complex data sets.

Career Highlights

Throughout his career, Jung Woo Ha has worked with notable companies such as Naver Corporation and Line Corporation. His experience in these organizations has allowed him to refine his skills in data analysis and machine learning, contributing to his success as an inventor.

Collaborations

Jung Woo Ha has collaborated with talented individuals in his field, including Jung Myung Kim and Jang Yeon Park. These collaborations have fostered a creative environment that encourages innovation and the development of cutting-edge technologies.

Conclusion

Jung Woo Ha is a distinguished inventor whose work in data classification and sound analysis has made a significant impact in the tech industry. His innovative patents and collaborations highlight his commitment to advancing technology and improving data processing methods.