As a series of basic research to draw the pilot design measures for developing the habitat apparatus of Sulculus diversicolor supertexta inhabiting the coastal area of Jeju island, this study conducted a water tank experiment to understand the habitat marine environment of Sulculus diversicolor supertexta and the preference of habitat space focusing on the research fisheries performing the discharge of marine products. In the composition degree of marine algae in both fisheries, Donggwi-ri showed the highest gulfweed (79.3%) as brown algae and there were some coralline algae (17.2%) as red algae. Hansu-ri yielded the highest gulfweed (48.1%) as brown algae, which was followed by sea lettuce (10.4%) as green algae. In the preference of habitat space, the shelter angles 40° showed the highest adhesion as number of 82.9, which was followed by 60° and 70° as 69.2 and 68.2 respectively (P<0.05) by reviewing the environmental characteristics of habit of Salculus diversicolor supertexta in the coastal fishery of Jeju Island, when considering the adhesion rate in each of five shelters with different angles. In the future, there should be continuous research and monitoring for designing the fish shelters suitable for the coastal fisheries of Jeju island, and it would be also necessary to add the field-centered sustainable concrete research.

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.

본 연구에서는 승용차에서 사람들이 기기를 사용하기 위해 사용하는 기동어인 “Hi, KIA!”의 감성을 기계학습을 기반으로 분류가 가능한가에 대해 탐색하였다. 감성 분류를 위해 신남, 화남, 절망, 보통 총 4가지 감정별로 3가지 시나리오를 작성하여, 자동차 운전 상황에서 발생할 수 있는 12가지의 사용자 감정 시나리오를 제작하였다. 시각화 자료를 기반으로 총 9명의 대학생을 대상으로 녹음을 진행하였다. 수집된 녹음 파일의 전체 문장에서 기동어 부분만 별도로 추출하는 과정을 거쳐, 전체 문장 파일, 기동어 파일 총 두 개의 데이터 세트로 정리되었다. 음성 분석에서는 음향 특성을 추출하고 추출된 데이터를 svmRadial 방법을 이용하여 기계 학습 기반의 알고리즘을 제작해, 제작된 알고리즘의 감정 예측 정확성 및 가능성을 파악하였다. 9명의 참여자와 4개의 감정 카테고리를 통틀어 기동어의 정확성(60.19%: 22~81%)과 전체 문장의 정확성(41.51%)을 비교했다. 또한, 참여자 개별로 정확도와 민감도를 확인하였을 때, 성능을 보임을 확인하였으며, 각 사용자 별 기계 학습을 위해 선정된 피쳐들이 유사함을 확인하였다. 본 연구는 기동어만으로도 사용자의 감정 추출과 보이스 인터페이스 개발 시 기동어 감정 파악 기술이 잠재적으로 적용 가능한데 대한 실험적 증거를 제공할 수 있을 것으로 기대한다.

In Jeju, in order to efficiently manage and coexist fishing boats and passenger ships in narrow ports, it is necessary to establish reasonable policies. The survey was conducted on 99 fishing ports, from December 1 to 31, 2018. A site survey was conducted on 30 parties (15 in Jeju City and 15 in Seogwipo City) concerning with the use of fishing ports in Jeju to review the appropriate conditions for selecting fishing ports as control subjects. The survey determined size of pleasure craft mooring within fishing port (20%), size of fishing boat mooring (20%), and accessibility of fishing port (20%) under on-site survey factors as well as willingness to form a consultative group between fishing boat and pleasure craft users (20%). Upon the request of the survey, positive and negative opinions were collected on the establishment of a safety control center in the fish port. Based on the survey results, the factors mentioned above were applied to each and every fishing port within Jeju. The bottom five fishing ports in Jeju with the lowest total factor scores were identified and selected as control subjects for review and study. Of the five fishing ports selected as control subjects amidst the 99 fishing ports in Jeju, Dodu Fishing Port had the lowest score of 22% among the national fishing harbors. Among the local fishing ports, Hwabuk Fishing Port had the lowest score of 18%, followed by Sagae Fishing Port with a score of 22%. Hamdeok Fishing Port had the lowest score of 24% among the fishing port villages, whereas Ojo Fishing Port had the lowest score of 24% among the small fishing ports.

As a series of fundamental researches on the development of an automatic identification monitoring system for fishing gear. Firstly, the study on the installation method of automated identification buoy for the coastal improvement net fishing net with many loss problems on the west coast was carried out. Secondly, the study was conducted find out how to install an automatic identification buoy for coastal gill net which has the highest loss rate among the fisheries. GPS for fishing was used six times in the coastal waters around Seogwipo city in Jeju Island to determine the developmental status and underwater behavior to conduct a field survey. Next, a questionnaire was administered in parallel on the type of loss and the quantity and location of fishing gear to be developed and the water transmitter. In the field experiment, the data collection was possible from a minimum of 13 hours, ten minutes to a maximum of 20 hours and ten minutes using GPS, identifying the development status and underwater behavior of the coastal gillnet fishing gear. The result of the survey showed that the loss of coastal net fishing gear was in the following order: net (27.3%), full fishing gear (24.2%), buoys, and anchors (18.2%). The causes were active algae (50.0%), fish catches (33.3%) and natural disasters (12.5%). To solve this problem, the installation method is to attach one and two electronic buoys to top of each end of the fishing gear, and one underwater transmitter at both ends of the float line connected to the anchor. By identifying and managing abnormal conditions such as damage or loss of fishing gear due to external factors such as potent algae and cutting of fishing gear, loss of fishing gear can be reduced. If the lost fishing gear is found, it will be efficiently collected.