Abstract:
PURPOSE: A method and apparatus for diagnosing a hybrid of an abnormal tissue are provided to rapidly and precisely detect the abnormal tissue in biological tissue. CONSTITUTION: An image guide promoting unit(200) is placed at one side of a multi-degree of freedom link(100). The image guide promoting unit obtains image information for performing a first diagnosis for tissue. A tissue diagnosing unit(300) performs a second diagnosis based on the first diagnosis. A power input unit(400) supplies electric power to a hybrid tissue diagnosing device. A control unit(500) controls the hybrid tissue diagnosing device according to user directives. [Reference numerals] (100) Multi-degree of freedom link; (200) Image guide promoting unit; (300) Tissue diagnosing unit; (400) Power input unit; (500) Control unit
Abstract:
본 발명은 근육 진동 신호를 이용한 팔 굽힘 힘 추정장치 및 방법에 관한 것으로, 해결하고자 하는 기술적 과제는 근전도의 단점을 극복할 수 있는 새로운 생체 신호인 근육 진동 신호를 통하여 팔 굽힘 힘을 추정할 수 있는 장치 및 방법을 제공하는데 있다. 이를 위해 본 발명에 따른 근육 진동 신호를 이용한 팔 굽힘 힘 추정장치는, 피측정인의 상지부 근육 표면에 부착되어 상기 피측정인의 팔꿈치 굽힘을 관장하는 다수개의 근육 진동 신호를 획득하는 근육 진동 센서부와, 획득된 근육 진동 신호 중에서 필요없는 특정 주파수 대역의 신호를 제거하는 신호 처리부와, 획득된 근육 진동 신호 각각에 대한 절대 평균값을 산출하는 특징 추출부와, 상기 특징 추출부에서 산출된 절대 평균값을 인공 신경망 알고리즘에 의해 힘 신호로 추정하는 힘 신호 추정부 및 상기 힘 신호 추정부에서 추정된 힘 신호를 피측정인에게 표시해주는 표시부를 포함한다. 근육 진동 신호, 인공 신경 회로망, 힘 예측, 팔 굽힘 힘
Abstract:
PURPOSE: A container measurement method using image processing is provided to offer accurate coordinate, distance, and angle information about containers by measuring the distance and angle between a container and a spreader in real time through image process algorithm. CONSTITUTION: A container measurement method using image processing comprises steps of: recognizing the position of a container through processing of a displayed image(100), correcting environmental variables affecting the image processing, and measuring the distance or angle between a spreader and the container from the recognized container position(200).
Abstract:
PURPOSE: A container docking method and a container crane using the same are provided to remarkably decrease the time to perform loading docking operation by the docking of a container ship by a mobile harbor. CONSTITUTION: A number of containers are identified by image processing(500). The identified containers are labelled(510). The distance and angle between each labeled container and the spreader of a container crane are measured(520). The docking priority of the labeled containers is determined according to the measured distance and angle(530). The distance and angle are measured by the distance sensor of the container crane. The priority of a container, which minimizes the movement of the spreader, is high.
Abstract:
PURPOSE: A dual boom structure, a dual boom crane, and a vessel with the crane are provided to enable stable cargo-working with other ships by controlling the posture, horizontal state, or position of a spreader against fluctuation of a crane on the sea. CONSTITUTION: A dual boom structure comprises a first trolley(112), a second boom, a support joint(104), a sub-supporter(106), and a spreader(140). The first trolley can move in the transverse direction along a first boom(110). The second boom is connected and supported to the first trolley. The support joint is connected to a point of the first trolley on a point of the second boom to support the second boom being rotated. The sub-supporter is connected to another point of the first trolley on another point of the second boom, and the length of the sub-supporter can be controlled. The spreader is raised and lowered by being connected to the second boom through a cable(148).
Abstract:
PURPOSE: An apparatus and a method for automatically landing, moving, and coupling a spreader for a crane are provided to rapidly and accurately fix a spreader, which is shaken by various external factors, to a container, thereby enabling safe transportation. CONSTITUTION: An apparatus and a method for automatically landing, moving, and coupling a spreader for a crane comprises a frame body(110), an attaching member(120), a position converting unit(130), and a clamping unit(150). A pulley(118) is installed on the upper end of the frame body, so the frame body is connected to a trolley by a cable. The attaching member is installed in order to attach and fix the frame body to the upper side of a container. The position converting unit makes the frame body move relatively to the container based on the attaching member and become aligned. The lamping unit is installed at the edge of the frame body and fixes the container aligned with the frame body. The frame body is comprised of a lower plate frame(112) and an upper plate frame(114).
Abstract:
본 발명은 손가락 힘 추정 방법 및 추정 장치, 손가락 힘 추정을 위한 근육 판별 방법 및 근육 판별 장치에 관한 것이다. 본 발명에 따른 손가락 힘 추정 방법은, 피측정인의 아래팔의 피부에 밀착되도록 장착된 복수 개의 근전도 센서로부터 엄지와 검지의 근육을 관장하는 7개의 근육의 근전도 신호를 획득하는 근전도 신호 획득단계, 소정의 판별식에 의하여 7개의 근육의 근전도 신호 중 힘의 측정을 위한 정보를 가지는 4개의 근육의 근전도 신호를 선정하는 근전도 신호 선정단계, 선정된 4개의 근전도 신호를 타임 윈도우 내의 근전도 신호로 각각 변환하여, 소정의 분산 알고리즘에 의하여 변환된 타임 윈도우 내의 근전도 신호의 각각에 대한 베어리언스를 산출하는 베어리언스 산출단계, 산출된 베어리언스를 인공신경망 알고리즘에 의하여 힘 신호로 추정하는 힘 신호 추정단계, 추정된 힘 신호를 디스플레이하는 단계를 포함한다. 근전도 신호, 판별식, 분산 알고리즘, 타임 윈도우