Abstract:
본 발명의 실시예에 따른 자기 메모리 소자는, 하부전극; 상기 하부전극 상에 형성되는 자성층; 상기 자성층 상에 형성되며 개방 격자 구조를 갖는 산화물층; 및 상기 산화물층 상에 형성되는 상부전극을 포함하며, 상기 상부전극은, 상기 상부전극과 상기 하부전극 간에 인가된 전압에 의해 상기 상부전극 주위의 수분을 분해하여 수소 이온을 발생시키고, 상기 발생한 수소 이온에 의해 상기 자성층의 자기 이방성이 제어된다.
Abstract:
본발명은 (a) 할로겐화고분자를이용하여할로겐화고분자나노섬유를제조하는단계; (b) 상기할로겐화고분자나노섬유를탈할로겐화처리하는단계; 및 (c) 상기탈할로겐화처리된할로겐화고분자나노섬유를탄화시키는단계를포함하는이산화탄소흡착용다공성탄소나노섬유제조방법에의하여제조된다공성탄소나노섬유는높은비표면적과기공부피, 빠른흡착/탈착속도그리고열적및 화학적으로안정하고재사용이가능하기때문에, 유용한 CO흡착제로사용할수 있다.
Abstract:
본발명은 (a) 할로겐화고분자를이용하여할로겐화고분자나노섬유를제조하는단계; (b) 상기할로겐화고분자나노섬유를탈할로겐화처리하는단계; 및 (c) 상기탈할로겐화처리된할로겐화고분자나노섬유를탄화시키는단계를포함하는이산화탄소흡착용다공성탄소나노섬유제조방법에의하여제조된다공성탄소나노섬유는높은비표면적과기공부피, 빠른흡착/탈착속도그리고열적및 화학적으로안정하고재사용이가능하기때문에, 유용한 CO흡착제로사용할수 있다.
Abstract:
PURPOSE: A walking pattern generation system of a biped walking robot, capable of stabilizing a transfer function, is provided to steadily control the walking of a robot using Walking pattern data effectively following goal pattern data. CONSTITUTION: A walking pattern generation system of a biped walking robot comprises a pole-zero controller and a walking pattern generation unit. The pole-zero controller converts the goal pattern data inputted to a system into reference pattern data through a first transfer function. The walking pattern generation unit changes base pattern data into walking pattern data through a second transfer function.
Abstract:
PURPOSE: A method for generating a walking pattern in a humanoid robot is provided to produce walking pattern in a humanoid robot toward various walking directions and stride by changing variously ZMP(Zero Moment Point) position information employed to a normal step module. CONSTITUTION: A method for generating a walking pattern in a humanoid robot is as follows. The ZMP position to be walked afterwards is determined according to the advancing direction of a humanoid robot(S101). A first condition for producing a walking pattern is obtained depending on the decided ZMP position information using a cyclic step module. The walking pattern of ZMP and COM(Center Of Mass) with respect to an initial step is produced depending on an initial value using an excessive step module. The initial value is obtained from the first condition and the initial state of the humanoid robot. The walking pattern of a ZMP and a COM with respect to a normal step is obtained depending on ZMP location information of 2 step using a normal step module. The walking pattern of ZMP and COM with respect to the final step is obtained using the excessive step module.