In this study, trends in research methods and topics of seabird and marine fish migration were examined. Based on the framework of existing animal migration studies, future research directions were proposed in relation to the migration of seabirds and fish. In terms of research methodology, with the development of science and technology, tracking techniques using radio telemetry, acoustic telemetry, RFID (radiofrequency identification), satellite tracking, and geolocators are widely used to study seabird and fish migration. Research is also conducted indirectly through a population survey and the analysis of substances in the body. Research contents are largely classified into extrinsic factors that affect migration (such as environmental variables and interspecific competition), intrinsic factors such as hormones, anthropogenic activities including fishery and offshore wind farm, and the effect of global climate change. In future studies, physiological factors that influence or cause migration and dispersal should be identified concerning intrinsic factors. For the analysis of migration ability, it is necessary to study effects of changes in the magnetic field on the migration ability of seabirds and fish, interspecific differences in spatiotemporal migration ability, and factors that influence the migration success rate. Regarding extrinsic factors, research studies on effects of anthropogenic disturbances such as fishery and offshore wind farm and global climate change on the migration and dispersal patterns of marine animals are needed. Finally, integrated studies on the migration of seabirds and fish directly or indirectly affecting each other in various ecological aspects are required.

Six Sigma is a philosophy and systematic methodology for quality improvement. It encourages continuous quality improvement efforts to achieve the ideal goal of 6σ. Sigma(σ) is a statistic representing the standard deviation of the normal distribution, and 6σ level means a level where the tolerance of the specification is six times the standard deviation of the process distribution. In terms of the defective rate, the 6σ level achieves the 0.002 defectives per one million units. However, in the field, the 6σ level is used in the sense of achieving 3.4 defects per one million opportunities, which shows a large gap from the 6σ level in the statistical viewpoint. This is because field practitioners accept a 1.5σ shift of the mean of process when calculating the defective rate under sigma level. It said that the acceptance of 1.5σ shift of the mean is from experience, but there is no research or theoretical explanation to support it logically. Although it is a non-scientific explanation based on experience, considering that there has been no objection to the 1.5σ shift for a long time and it is rather accepted, it is judged that there is a reasonable basis for the 1.5σ shift. Therefore, this study tries to find a reasonable explanation through detective power of control chart via the run-rules to the 1.5σ shift empirically recognized by practitioners.

When the center of stiffness and the center of mass of the structure differ under the seismic load, torsion is caused by eccentricity. In this study, an analysis model was modeled in which the positions of the core and the plane rotation axis of a 60-story torsional atypical structure with a plane rotation angle of 1 degree per floor were different. The structural behavior of the analysis model was analyzed, and the earthquake response behavior of the structure was analyzed based on the time history analysis results. As a result, as the eccentricity of the structure increased, the eccentricity response was amplified in the high-rise part, and the bending and torsional behavior responses were complex in the low-order vibration mode. As a result of the analysis, the maximum displacement and story drift ratio increased due to the torsional behavior. The maximum story shear force and the story absolute maximum acceleration showed similarities for each analysis model according to the shape of the vibration mode of the analysis model.

본 논문의 주된 연구목적은 인구이동 플로의 지리적 시각화를 위한 개념적 명료화를 수행하고, 그것에 의거해 우리나라 인구이동 데이터를 사례로 다양한 주제도의 예시를 제공하는 것이다. 공간적 스케일 개념에 대한 심도 깊은 논의를 바탕으로 인구이동 연구를 위한 공간적 프레임워크가 제시되었다. 인구이동 관련 측도들의 다양성이 측도의 성격과 측도의 공간적 스케일이 라는 두 축에 의거한 유형 분류 체계를 통해 제시되었다. 측도의 다양한 성격을 세 가지 주요 주제도 유형(도형표현도, 코로플레스맵, 유선도)과 결합하는 원리가 제시되었다. 우리나라 2020년 시군구 단위 인구이동 플로 데이터에 대해 세 가지 지역 스케일별로 주제도 제작의 사례가 제공되었다. 지역별 수준에서는 순이동과 순이동률에 대한 일종의 이변량 도형표현도, 인구이동 영향력에 대한 코로플레스맵, 자족도에 대한 코로플레스맵이 제시되었다. 지역-특수적 수준에서는 행-표준화 지도와 열-표준화 지도가 도형표현도와 단계구분도의 형태로 제시되었다. 지역간 수준에서는 스트림 영향력 지도와 탁월류 분석 지도가 유선도 형태로 제시되었다. 본 연구는 단순한 시각화를 넘어 인구이동 플로 데이터에 대한 탐색적 공간데이터 분석을 진작한다는 측면에서 의의가 있는 것으로 평가된다.

The role of QR Code robots in smart logistics is great. Cognitive robots, such as logistics robots, were mostly used to adjust routes and search for peripheral sensors, cameras, and recognition signs attached to walls. However, recently, the ease of making QR Codes and the convenience of producing and attaching a lot of information within QR Codes have been raised, and many of these reasons have made QR Codes recognizable as visions and others. In addition, there have been cases in developed countries and Korea that control several of these robots at the same time and operate logistics factories smartly. This representative case is the KIVA robot in Amazon. KIVA robots are only operated inside Amazon, but information about them is not exposed to the outside world, so a variety of similar robots are developed and operated in several places around the world. They are applied in various fields such as education, medical, silver, military, parking, construction, marine, and agriculture, creating a variety of application robots. In this work, we are developing a robot that can recognize its current position, move and control in the directed direction through two-dimensional QR Codes with the same horizontal and vertical sides, and the error is to create a QR Code robot with accuracy to reach within 3mm. This paper focuses a study on the driving directions of QR Code-aware movable robots during the development of QR Code-aware indoor mobility robots.

In this study, the analysis of the unsteady viscous flow field using the uRANS equation in a moving mesh was studied. The simulation domain is composed of an overset zone fixed to a propeller and rotating at a constant angular speed and a far zone which is located in the far distance and does not move. Each zone is composed of a polyhedral meshes for the accurate and robust gradient calculation in addition to the reduction of computation time. Simulation technique was applied to the aerodynamic analysis of the 5-inch propeller and compared with those of the MRF and the thrust test. The thrust predicted by the moving mesh showed good correlation with the MRF result within 0.5% difference, but the torque showed a tendency to under-prediction by about 10% compared to the MRF. In the future, we plan to further validate the numerical analysis technique using the moving mesh by applying it to the configurations in which precise test results exist.

본 연구는 시설토경에 적합한 간단관개의 1회 관개량, 관개주기 및 최대 관개횟수를 구명하기 위해 토양 수직단면 상에서의 수분이동을 모델링하였다. 간단관개는 특정양의 물을 관개할 때, 소량의 물을 일정한 시간 간격으로 여러 번 나누어 급수하여 토양표면의 용수 손실을 줄이고, 근권부까지 수분이 원활히 침투되도록 하기 위한 관개 방법이다. 토양 내부의 수분이동 특성은 관개방법, 토성 등에 따라 다양하게 변화한다. 반면, 현장에서 간단관개는 토마토 시설토경 재배의 경우 40분 간격으로 1회 4분간 최대 4회 관개, 사과의 경우 110분 간격으로 1회 5분간 최대 3∼5회 등 경험에 따라 관개하고 있다. 본 연구에서는 국내의 대표적인 밭토성인 사질양토, 양토, 양질사토에 대해 10, 20, 40분 간격으로 관개깊이 5㎜의 용수를 1.0, 1.7, 2.5, 5.0㎜씩 각 1∼5회로 나누어 관개하는 조건을 모의하였다. 모의할 토층단면은 폭 10㎝, 깊이 30㎝로 설정하고, 모의 프로그램은 Hydrus- 2D를 이용하였다. 기존 관련 연구의 실측 자료를 이용해 모델을 보정하고, 토층단면에 걸쳐 시간 경과에 따른 토양 내 수분 변화를 2차원 토양수분 패턴도로 작성하였다. 간단관개 방법에 따라 토양표면 및 근권부 토층에서의 수분 변화를 분석한 결과 모든 조건에서 연속관개 보다는 간단관개가 근권부의 수분전달에 유리하고, 양토, 사질양토, 양질사토의 순으로 관개용수의 침투가 원활한 것으로 파악되었다. 1회 관개량 1.7㎜ 이상, 간단시간 40분 이상인 경우에 토양표면에서의 수분 침투가 원활해지는 것으로 나타났으며, 근권부의 토양수분 전달에 가장 유리한 것은 1회 관개량 1.7㎜, 3회 간단관개하는 경우로 분석되었다. 토성에 따른 토양수분이동의 특성 차이는 크지 않은 것으로 나타났다. 본 연구 결과 시설토경 관개에서 토양표면에서의 용수손실을 감소시키면서, 근권부 수분공급에 적합한 간단관개법을 구명할 수 있었으며, 이를 향후 자동관개 제어 시스템에 적용한다면 용수손실을 최소화하면서 토양수분을 작물생육에 최적의 상태로 제어할 수 있을 것으로 사료된다.

대기오염물질 감축에 대한 국제적인 인식이 높아짐에 따라 친환경 선박에 대한 수요가 증가하고 있어 각국에서 전기추진선박 개발을 활발하게 수행하고 있다. 현재 전기추진선박에 대해서는 주로 전기추진시스템 및 전동기 연구를 주로 수행하고 있으며, 선박 관점 에서 전기추진시스템 및 배터리의 탑재를 고려한 국내 연안 차도선 개념설계 연구는 수행된 바가 없다. 본 연구에서는 배터리 차량 기반의 이동식 전원공급시스템을 주전원으로 하는 순수전기추진차도선의 개념설계 과정에서의 주요 고려사항에 대하여 검토하였다. 100척 이상의 국내 연안차도선의 제원을 분석하여, 요구사항 만족을 위한 선박의 주요제원 선정과 이동식 배터리 차량 탑재를 고려한 비손상, 손상 복원성능 검토를 수행하였고, 개념설계 과정에서 발생하는 문제의 원인분석을 통해 해결방안을 모색하였다.

The role of QR Code robots in smart logistics is great. Cognitive robots, such as logistics robots, were mostly used to adjust routes and search for peripheral sensors, cameras, and recognition signs attached to walls. However, recently, the ease of making QR Codes and the convenience of producing and attaching a lot of information within QR Codes have been raised, and many of these reasons have made QR Codes recognizable as visions and others. In addition, there have been cases in developed countries and Korea that control several of these robots at the same time and operate logistics factories smartly. This representative case is the KIVA robot in Amazon. KIVA robots are only operated inside Amazon, but information about them is not exposed to the outside world, so a variety of similar robots are developed and operated in several places around the world. They are applied in various fields such as education, medical, silver, military, parking, construction, marine, and agriculture, creating a variety of application robots. In this work, we are developing a robot that can recognize its current position, move and control in the directed direction through two-dimensional QR Codes with the same horizontal and vertical sides, and the error is to create a QR Code robot with accuracy to reach within 3mm. This paper focuses a study on the speculative navigation using auxiliary encoder during the development of QR Code-aware indoor mobility robots.