Abstract:
PURPOSE: An automatic operating device and method for a marine moving body are provided to prevent collision between marine moving bodies by minimizing mutual influence between marine moving bodies using a distribution concentration method and a central concentration method. CONSTITUTION: A position information receiver(310) receives information including the current location and destination of one or more marine moving bodies(600a) with a distribution self-control navigation device. An operable space setting unit(320) sets an operable space according to the time of one or more marine moving bodies in consideration of the current location, destination, and collision prediction area of one or more marine moving bodies. A shortest path setting unit sets the shortest path of each marine moving body by dividing the operable space into a plurality of cells. A shortest path transmitter(340) transmits the shortest path to one or more marine moving bodies.
Abstract:
PURPOSE: A jellyfish removing apparatus is provided to continuously eliminate jellyfishes for 24 hours without an administrator. CONSTITUTION: A jellyfish removing apparatus comprises: a body portion(20); a rotator which is offered to the inside of the body portion and generates power inhaling fluid and jellyfishes to the inside of the body portion; a first dissecting net of a mesh shape capable of dissecting jellyfishes flowing into the body portion; an outlet(30) through which the dissected jellyfishes are exhausted to the outside of the body portion; and a power unit(11) generating the torque in the rotator.
Abstract:
본 발명은 GPS 신호가 수신되지 않는 음영지역에서 지리정보를 제공하는 방법에 관한 것으로, 음영지역 로컬 좌표 상의 제 1 기준점의 글로벌 좌표를 계산하는 단계, 상기 로컬 좌표 상의 현재 위치를 검색하는 단계, 상기 제 1 기준점의 글로벌 좌표를 이용해 상기 검색된 현재 위치의 글로벌 좌표를 검색하는 단계 및 상기 검색된 현재 위치를 상기 검색된 글로벌 좌표를 이용해 출력하는 단계를 포함하여 음영지역에서의 별도의 지리정보 없이도 글로벌 좌표와 음영지역 로컬 좌표의 상관관계를 이용해 음영지역의 지리정보를 검색할 수 있는 효과가 있다. 음영지역, GPS, 글로벌 좌표(Global Coordinate), 로컬 좌표(Local Coordinate), 좌표 변환(Coordinate Transform)
Abstract:
PURPOSE: An absolute displacement measuring system of a structure is provided to improve accuracy of absolute displacement measurement by dividing displacement into multiple sections. CONSTITUTION: An absolute displacement measuring system of a structure comprises a measurement section setting part(100), an image processing part(200), and a displacement calculating part(300). The measurement section setting part has an emitting unit and a photographing unit. The emitting unit emits light to an opposite direction of a sign. The photographing unit photographs an image of the radial direction of the emitting unit. The image processing part collects the image of the sign during the setting time. The displacement calculating part calculates absolute displacement by receiving the image.
Abstract:
디바이스가 정보를 획득하는 방법에 있어서, 디바이스 주변의 대상체와 관련된 환경 정보를 획득하는 단계, 획득한 환경 정보를 이용하여 디바이스 주변의 맵과 관련된 맵 정보를 획득하는 단계, 획득한 환경 정보를 이용하여 디바이스의 위치를 나타내는 위치 정보를 획득하는 단계 및 획득한 위치 정보에 대응되는 위치에서의 신호를 나타내는 신호 정보를 획득하는 단계를 포함하는 정보 획득 방법이 개시된다.
Abstract:
The present invention relates to a controlling method, a system, and a server for robot formation and, more particularly, to a controlling method, a system, and a server for robot formation, which can stably make a robot formation by controlling the robot formation using an algorithm that corrects particles in consideration of a direction angle of a unit robot when multiple robots form a consistent formation. When controlling prediction based on a particle swarm optimization for a robot formation, the controlling method includes a particle modifying step which modifies such that a direction angle prediction value of each unit robot agrees with a direction angle target value in a final prediction section or a previous prediction section. A particle indicates a solution candidate which is a movement for a prediction section of each unit robot. The final prediction section indicates a final prediction sensor in time, when controlling by dividing the entire prediction section into one or more prediction sections during prediction controlling based on the particle swarm optimization. Therefore, the provided controlling method, the system, and the server for robot formation can stably and effectively control a robot formation by modifying particles of unit robots using a particle modification algorithm which can secure stability of the robot formation by modifying particles in consideration of the direction angle target value of the unit robots.