Initializing process on direct overwrite method using exchange-coupled quadilayer magneto-optical film
A direct overwrite mechanism of the exchange-coupled quadri-layered film using light intensity modulation has been investigation. The initializing process in the overwrite mechanism was studied. It was found that the writing layer had two different coercivities depending on the magnetization state of its adjacent layers. The coercivity of the writing layer in the initializing process was lower than that of the single layer. Thus, the overwrite recording was achieved with good recording characteristics. How this phenomenon plays a critical role in the initializing process was clarified. It was also found that this process occurred well above room temperature. >
Direct Overwrite by Light Power Modulation on Magneto-Optical Multi-Layered Media
The present authors have developed a new direct overwrite method on multi-layered Magneto-optical(MO) memory media by light power modulation [1]. (In this experiment double-layered MO memory media are used.) The key points were the media constituing of a memory layer and a reference layer, and an auxiliary magnet which initializes the reference layer. The materials of the two thin film layers we have tested were TbFe/TbFeCo and TbFe/GdTbFe. The both combinations worked well. The former conbination gave us the following result; media velocity = 13.4m/sec, readoput C/N (RBW = 30kHz) = 54dB, 47dB, 44dB for 1MHz, 6MHz, 8MHz respectively.
Research on Control and Planning of Soft-Wing UAV for Haze Removal
The existence of fog and haze has caused great pollution to the environment. The research of removing haze is a hot topic in recent years. In this paper, a special haze removal algorithm based on Soft- Wing UAVis proposed. In this algorithm, two track control strategies are designed based on the Soft-Wing UAV model transfer function. A SIMULINK platform based mathematical model of Soft-Wing UAV is built to testified effectiveness of the two track control strategies. An autonomous ergodic-planning algorithm with greedy strategy and foldback algorithm for Soft-Wing UAV is designed. Within the algorithm, the haze regional has been modelled, the cost matrix is constructed, and the planning and ergodic strategy is proposed. Finally, the experimental results validates the reliability of the algorithm in the application of haze removal with the proposed evaluation Index.