This paper compares the preceding study on the development of evaluation indicator for ATOs for mechanics and vocational ability evaluation system implemented by the Ministry of Employment and Labor to support various vocational training. This paper also examines the systems for the protection and possible options of the consumer through disclosed notification and evaluation cases such as the traffic service evaluation system in the aviation sector. By extension, in order to ensure quality management and enhanced capability of flight schools, this paper aims to present a methodology for introducing an evaluation model certified by ATOs for pilots that emerges from comparing the preceding study on various vocational training applied with the CIPP evaluation model of Stufflebeam and the procedures for the designation of ATOs for pilots and follow-up management thereon in Korea, dividing it into four stages, which are the preparation stage, screening stage, designation stage and management stage, and applying the items and performance indicators to be carried out at each stage.

기후 변화에 따른 이상기상 등 농업환경변화에 따른 농작물의 생산성 및 품질 저하 등의 문제가 발생하고 있다. 최근에는 이러한 문제를 해결하기 위해 정보통신기술(Information & Communications Technology; ICT), 사물인터넷 (Internet of Things; IoT) 및 인공지능(Artificial Intelligence; AI) 등을 이용한 지능한 작물 모델 개발과 정보화 자원 구축 등의 연구가 진행되고 있다. 국내의 ICT를 적용한 스마트팜은 비닐하우스와 같은 시설 내부 환경을 제어하는 기술로 구성되어 있으나 국내 농경지 면적의 95%는 노지로 되어 있어 노지에 쉽게 적용할 수 있는 농업 ICT 기술 이 필요하다. 따라서 본 연구는 노지 작물의 지능형 생육 환경 모델 개발을 위한 IoT 기반 환경 데이터 획득 시스 템을 구축하고 시계열 계측을 통해 농작물 생육의 주요 인자인 토양 수분과 토양 온도의 변화 특성을 파악하고자 한다. 본 실험은 전북 완주군 소재 국립식량과학원 풍산나물콩 및 대풍콩 재배 포장에 환경데이터 획득 시스템을 구축하였으며 IoT 기반 토양센서(Sentek Drill&Drop, Australia)을 통해 토양의 수분 및 온도를 측정하였다. 토양 센 서는 서로 간섭을 최소화하기 위해 일정 간격으로 설치하고 지면으로부터 전극을 깊이 30 cm 까지 삽입시킨 후 20년 07월 04일부터 20년 10월 07일까지 깊이 10 cm, 20 cm, 30 cm의 토양 수분 및 온도의 시계열 변화를 비교 분 석하였다. 토양 수분 및 온도 변화는 지면으로부터 깊이 10 cm, 20 cm, 30 cm 순으로 크게 나타났다. 본 연구의 결 과는 4차 산업 기술의 농업적 적용성을 높이기 위한 빅데이터 구축 및 노지 스마트팜 기술 기반 확보를 위한 자료 로 활용될 수 있을 것으로 판단된다.

본고는 한국의 한자 데이터셋 구축 현황과 문제점을 점검하고 그 개선방향을 제안한 것이다. 한자 데이터셋은 한자학과 한문학 등 동아시아 인문고전학 연구 및 활용의 기초정보로 매우 중요하다. 하지만 데이터셋 구축방법의 통일성과 관리체계의 부실로 인한 문제점이 다수 발견되고 있으며, 데이터셋 간의 연계 및 호환도 잘 이루어지지 않아 활용가치가 크게 떨어짐을 확인하였다. 이를 해결하기 위한 방안으로 한자 속성정보 규정을 위한 전문위원회와 종합관리시스템을 구축하는 한편, 데이터셋 표준화 및 품질 제고를 위한 노력을 지속적으로 해야 할 것을 제안하였다.

The conversation analysis approach of using audio and video recordings of naturally occurring conversation contrasts with other methods of collecting data in the social and cognitive sciences. This paper intends to describe the ways in which conversation analysts collect their data suitable for analysis, including the steps involved in preparing to record, the recording of naturally occurring social interaction, and also the processing of recordings after they have been made. Before actually making the recordings, researchers must first choose what type of conversation they will collect and what device to use. Researchers also need to obtain consent for recording from the participants in a conversation analytic study. While making the recordings, researchers must figure out many practical issues such as who, when, how, what, how much, and where to record. After recording, researchers need to store data in audio or video formats. Researchers also archive it, using codes for identification that facilitate later finding, quoting and retrieving of any file. This paper focuses on these choices as they are made before, during, and after recordings and places specific emphasis on the effects these choices have on the recordings. It also illuminates how these techniques are closely related to the methodological and theoretical assumptions of the conversation analysis approach.

In a series of recent launch tests, North Korea has been improving the firepower of its missiles that can target South Korea. North Korea’s missiles and submarines are capable of threatening targets in South Korea and are likely faster and more covert than the systems previously seen in North Korea. The advanced threats require that ROK Navy should not only detect them earlier than ever but also response quicker than ever. In addition to increasing threats, the number of young man that can be enlisted for military service has been dramatically decreasing. To deal with these difficulty, ROK navy has been making various efforts to acquire a SMART warship having enhanced defense capability with fewer human resources. For quick response time with fewer operators, ROK Navy should improve the efficiency of systems and control tower mounted on the ship by promoting the Ship System Integration. Total Ship Computing Environment (TSCE) is a method of providing single computing environment for all ship systems. Though several years have passed since the first proposal of TSCE, limited information has been provided and domestic research on the TSCE is still in its infancy. In this paper, we apply TSCE with open architecture (OA) to solve the problems that ROK Navy is facing in order to meet the requirements for the SMART ship. We first review the level of Ship System Integration of both domestic and foreign ships. Then, based on analyses of integration demands for SMART warship, we apply real time OA to design architecture for TSCE from functional view and physical view. Simulation result shows that the proposed architecture has faster response time than the response time of the existing architecture and satisfies its design requirements.