The purpose of this study was to make a pants pattern suitable for women 70 to 85 years of age, then analyze that- pattern’s shape, size, appearance, fit, allowance and air gap. Participants made the pattern using 3D simulation program DC Suite version 5.1. The results suggest a design method suitable for the lower-body shapes of elderly women. In external appearance, the A-type earned the highest evaluation in all items except the allowance of the back waist and back hip. The L type earned the highest evaluation in the allowance of back waist and hips. The A-type’s, back waist appeared set at an angle that did not match the body shape of an old-old aged woman in the center-back-line setting. Therefore, the pattern method of A-type combined with L-type’s method of center back, produces an excellent pants pattern. Evaluation of the air gaps among patterns revealed that; the A-type showed the largest air gap in waist and hip circumference and the smallest air gap in thigh circumference. The waists, abdomen, and hip circumferences of older women often become larger while their legs become slimmer. This study accounted for those factors in determining a pattern suitable for the lower-body shape of old-old aged women. However, participants only analyzed four patterns and compared them with women 70 to 85, years of age. Therefore, it is necessary to develop industrial patterns applicable to a wide age group.

우리나라의 도로명주소는 2012년부터 본격적으로 정착되었고, 국가의 최소단위지역으로 국가기초구역도 2012년 고시, 2014년 부터는 본격적으로 활용될 예정이다. 도로구간, 주소, 그리고 국가기초구역은 긴밀하게 연계되어 있어 도로명주소 데이터와 국가기초구역 데이터를 연계한 통합적 데이터로 정비할 필요가 있다. 본 연구에서는 도로명주소와 국가기초구역 정보를 연계한 국가기초구역 데이터 모델을 제안하고, 이를 시범적으로 구축해 봄으로써 그 적용가능성과 시사점을 도출하고자 하였다. 이를 위해 도로명주소를 사용하는 해외의 데이터모델을 분석하고, 우리나라 도로명주소, 국가기초구역 데이터의 현황을 분석하였다. 이를 기반으로 선형기반의 도로정보와 주소정보, 각종 구역정보를 포함할 수 있는 데이터모델을 설계하고, 서대문구를 대상으로 시범구축 하였다. 시범구축결과 첫째 도로구간이 미세하게 세분되는 것을 막기 위해 도로명주소 데이터의 도로중심선 정보를 사전에 정리할 필요가 있으며, 둘째 종속구간에 대해서는 주소범위를 부여하지 않도록 하며, 셋째, 국가기초구역 설정에 종속구간이 활용되는 사례가 있으므로 주소는 부여하지 않더라도 종속구간의 왼쪽과 오른쪽을 구분하고 해당되는 면형정보를 입력할 필요가 있다는 것을 확인하였다.

이 연구는 전자해도(ENC) 데이터를 이용한 현실감 있는 3차원 해상환경 데이터베이스를 제작하는 방법에 관한 것이다. 종이해도로부터 해안선, 등심선, 수심 및 항로표지와 같은 정보를 수작업으로 이산화해서 얻는 기존의 방법에 비해, 본 연구에서 제안하는 방법은 각종 정보를 전자해도 데이터로부터 직접 얻을 수 있기 때문에 기존의 방법보다 손쉽고 정확하게 해상환경 데이터베이스를 제작할 수 있다. 또한 국제수로기구(IHO)의 표준규격(S-57)에 따라 제작되어 전 세계적으로 통일된 규격을 가지고 있는 전자해도 데이터를 이용함으로써 국내 및 외국항에 대한 데이터베이스를 정확하게 제작할 수 있으며, 해상환경 데이터베이스 제작 이외에도 해도의 경.위도 정보를 사용하는 여러 연구 분야에 유용하게 사용될 것으로 판단된다.

In this study, type analysis was conducted along with the advancement of basic data to calculate the maximum damage caused by strong winds during the typhoon period. The result of the damage by region showed that in 2012, the difference in damage was clearly distinguished as the region was classified in detail. In addition, the result of the annual damage in 2011 was strong on the west coast, and in 2016, the damage to the southeast coast was significant. In 2012, the 3-second gust was relatively stronger on the west and southeast coasts than in 2011, and the winds blew stronger along the southeast coast in 2016. Monthly damage data showed that the damage to the west coast was high in August, and the damage to the southeast coast was high in October from 2002 to 2019. The 3-second gust showed the result of wide expansion throughout the southern coast of the Korean Peninsula in October. As a result, the damage differs for type bacause the intensities and paths of typhoons vary depending on their characteristics, the 3-second gust blows differently by region based on regional characteristics, and the sale price is considered in metropolitan cities.

National parks, which are preserved areas of 6,726.298 km2(3,972.589 km2 on land and 2,753.709 km2, at sea), take up 6.71% of the national territory, and they are classified by type into 17 mountain parks, 4 maritime or coastal parks, and 1 historical site park. Of them all, the maritime or coastal national parks, which are preserved areas covering wide tracts of maritime, lately attract increasing numbers of visitors. In this light, this study identifies the issues with the maritime or coastal national parks such as the changes in the number of visitors and the unbalance involved in the budget execution, based on the visitors to the national parks and the specifics of budget executed for them. On this basis, the study has conducted the research with a view to suggesting improvements for more useful management and operation of the maritime or coastal national parks. As a result, the study has reached the following conclusions. First, to accommodate those who want to visit the maritime or coastal national parks, the tour infrastructure needs to be expanded to guide the visitors’ use of the facilities by focusing on their touring behavior and characteristics. Second, budget should be acquired through diversifying revenue structure to eliminate hugely unbalanced budget. Third, visitors nowadays come to national parks for recreational experience or to tour nature, but the maritime or coastal national parks focus on cultural facilities. To accommodate the visitors’ needs, the parks should get diversified visitor facilities that reflect the regional characteristics.

Concrete has recently been modified to have various performance and properties. However, the conventional method for predicting the compressive strength of concrete has been suggested by considering only a few influential factors. so, In this study, nine influential factors (W/B ratio, Water, Cement, Aggregate(Coarse, Fine), Fly ash, Blast furnace slag, Curing temperature, and humidity) of papers opened for 10 years were collected at 4 conferences in order to know the various correlations among data and the tendency of data. The selected mixture and compressive strength data were used for learning the Deep Learning Algorithm to derive a prediction model. The purpose of this study is to suggest a method of constructing a prediction model that predicts the compression strength with high accuracy based on Deep Learning Algorithms.

The rapid increase in frequency of earthquakes in Jeju that awakened the public concern about seismic performance of bridge columns. This research presents case studies on the evaluation of seismic performance of existing bridge columns conducted in Jeju-si, and investigates the elementary data, system of bridge structure, configuration of reinforcement steel and concrete strength of bridge columns in Jeju-si.

The rapid increase in frequency of earthquakes in Jeju that awakened the public concern about seismic performance of bridge columns. This research presents case studies on the evaluation of seismic performance of existing bridge columns conducted in Jeju-si, and investigates the elementary data, system of bridge structure, configuration of reinforcement steel and concrete strength of bridge columns in Jeju-si.