COVID-19로 인해 큰 혼란이 야기되었는데, 중국은 데이터를 이용하여 방역을 하였고 중국내 감염병 발생이 어느 정도 억제되었다. 하지만 데이터화 대응 상황은 양날의 검처럼 중대한 공중위생사건이 발생하여 대응 상황을 완화하는 동시에, 개인정보의 안전에 대한 위험도 내포하고 있다. 최근 2년동안 COVID-19의 방역과정에서 생기는 개인정보 보호 문제에 대응하기 위하여, 중국은 <개인정보보호법>을 제정하여 공포하였다. 중국에서는 과거부터 개인정보 보호입법에 관한 논의가 수차례 있었으나 입법에 이르지 못하다가 최근 COVID-19의 방역과정에서 생기는 개인정보 보호의 문제에 대한 대응 필요성이 대두된 가운데 중국은 20 21년 8월 20일 개인정보보호법을 제정하여 공포되었으며 동법은 같은 해 11월 1일부터 시행되고 있다. 이 연구는 중국에서의 데이터화 대응 상황 중 발생하는 개인정보 보호의 문제점을 검토한다.

In this paper, a GAN-based data augmentation method is proposed for topology optimization. In machine learning techniques, a total amount of dataset determines the accuracy and robustness of the trained neural network architectures, especially, supervised learning networks. Because the insufficient data tends to lead to overfitting or underfitting of the architectures, a data augmentation method is need to increase the amount of data for reducing overfitting when training a machine learning model. In this study, the Ganerative Adversarial Network (GAN) is used to augment the topology optimization dataset. The produced dataset has been compared with the original dataset.

The fishery compensation by marine spatial planning such as routeing of ships and offshore wind farms is required objective data on whether fishing vessels are engaged in a target area. There has still been no research that calculated the number of fishing operation days scientifically. This study proposes a novel method for calculating the number of fishing operation days using the fishing trajectory data when investigating fishery compensation in marine spatial planning areas. It was calculated by multiplying the average reporting interval of trajectory data, the number of collected data, the status weighting factor, and the weighting factor for fishery compensation according to the location of each fishing vessel. In particular, the number of fishing operation days for the compensation of driftnet fishery was considered the daily average number of large vessels from the port and the fishery loss hours for avoiding collisions with them. The target area for applying the proposed method is the routeing area of ships of Jeju outer port. The yearly average fishing operation days were calculated from three years of data from 2017 to 2019. As a result of the study, the yearly average fishing operation days for the compensation of each fishing village fraternity varied from 0.0 to 39.0 days. The proposed method can be used for fishery compensation as an objective indicator in various marine spatial planning areas.