1,721,827 research outputs found
Western myths and construction of Cao Yu\u27s two tragedies
The dissertation is a case study of the intertexutality between Western classics and modern Chinese drama. Modern Chinese literary discourse, as well as modern Chinese drama, can be read in two traditions: the political and the aesthetical. Many modern Chinese writers choose to follow the political tradition in their works. Cao Yu, the greatest playwright in modern China, at first alienates himself from the political tradition and finds a proper aesthetical form for modern Chinese drama and tragedy in his exploration of Western classics in his two early plays, The Thunderstorm and The Wilderness. Building his plays on the basis of Western myths, Cao Yu\u27s early plays challenge the political form imposed onto modern Chinese drama. Western myths are the clues for the Chinese playwright in his search of the proper form for Chinese drama and tragedy. In The Thunderstorm and The Wilderness, Cao Yu explores the dramatic device of classical tragedy from the Greek and Romans to examine modern life in a country that was struggling to be modern. By revisiting the Western classics, Cao Yu created the two Chinese classics. Both plays return to the Greek myth and respond to it. The Thunderstorm stages the myth of Phaedra and labyrinth, whereas The Wilderness restages the myth of Orestes. By staging the myth of labyrinth in The Thunderstorm and the myth of sacrificial crisis in The Wilderness, Cao Yu constructs two tragedies that would later be termed as Chinese classics. Western myths to a certain extent give shape to two of Cao Yu\u27s best tragedies
Dan jian pian.
曹禺, 梅阡, 于是之編劇 ; 曹禺執筆.五幕話劇Cao Yu, Mei Qian, Yu Shizhi bian ju ; Cao Yu zhi bi.Detailed notes in vernacular field only
[Yu Cao Yu tan hua]
interp. by應若誠.Title supplied by cataloguer.Live recording."Evening at 14 Brattle, april 6, 1980"--Side 1 label.Electronic reproduction from Rulan Chao Pian Audio Cassette Collection.Performers, unknown.Spoken in Chinese, supplied with English consecutive interpreting.interp. by Ying Ruocheng
The model, design, and management of renewable energy harvesting systems for maritime robots
Renewable energy harvesting systems could provide sustainable power to supply mobile robots for fully autonomous operation. However, the lack of model theory and design technique in current research limit the renewable energy system to the stationary application only. This thesis proposes a methodology to model, design and manage the power system for maritime robots. A novel non-stationary model including both global and local motion are developed for renewable energy harvesting systems. This offers a new methodology to simulate the power system with a spatial-temporal power generation and demand load model. The model is utilised by a data-driven approach to design a reliable and economic renewable energy system configuration under the size constraint. This design method is based on the optimisation approach to size the configuration of renewable energy devices. Furthermore, a learning-based power management strategy was proposed to improve the long term robustness of the power system. Variation and uncertainty in the renewable energy resource are mitigated by learning to plan the power usage from experience. The non-stationary renewable energy harvesting model shows both global and local motion of the robot influence the power generation and demand load. To match the power generation and demand load of the robot, the size of the renewable energy harvester and storage device has to be optimally designed under strict size constraints. Design optimisation result demonstrated the optimality and feasibility of the proposed renewable energy harvesting system configuration method. For the long-term performance, the learning-based power management strategy outperforms all benchmarking strategies in providing a guaranteed minimum level of power supply. Research results show the renewable energy could provide sustainable power supply to the robot. These methods and techniques provide a foundation to the model, design and management of renewable energy harvesting systems for mobile maritime robots
- …
