Suchergebnisse

The objective is to develop a new control strategy for quadrotor types of Unmanned Aerial Systems (UAVs) that assist in closing the existing research gaps between the undesired uncertainties and current control systems. This research investigates a system modeling and the effectiveness of error elimination through adaptation in the change of the plant/system's output. The UAV is controlled via Wi-Fi using MATLAB. Proportional-Integral-Derivative (PID) controller, the two degrees of freedom Proportional-Integral-Derivative (2DOF-PID) controller and the model reference Neural Network (NN) controller are used for the aircraft pitch control. External disturbances and modeling errors can lead to the instability and unpredictable behaviors of a system. Even though the disturbances cannot be avoided the effects of such disturbances can be reduced significantly by neural network-based adaptive controllers for high-performance tracking in the presence of the disturbances. The robust control systems with the adaptive control will improve navigation performance and operation for military, reconnaissance and surveillance applications. The application of a robust controller determines the performance by observing the system's behavior to identify and reduce the unpredictable effects of disturbances and achieve a better behavior of the whole system. By observing the system, the neural network is suitably used to learn from a set of training patterns. System identification uses a neural network to capture the behavior of system dynamics, which assists the neural network to train itself to act as a controller. Moreover, the system's performance of the controllers was tested using simulations to demonstrate the effectiveness in improving the speed and stability for the dynamic system. The presented work will produce a flexible, robust and effective control system model that provides additional stability and reduce the effects of disturbances.

This dissertation research attempts to distinguish China's model from that of the traditional North-South relationship, with a focus on how China's philosophy articulates its foreign policy and the nation's higher education engagement with African countries. It examines the China-Africa higher education partnership in response to China's discourse on South-South Cooperation (SSC), Africa's human resource flows, and the benefits and constraints of current China-Africa cooperation. In order to achieve these goals, the dissertation uses one of the China-Africa partnership universities in China, Zhejiang Normal University (ZJNU) as a site for its field research. The fieldwork looks at both a student level (e.g., studying experience and human capacity building) and an institutional level (e.g., university policy for foreign student management), aims to gauge the partnership's potential effects on African countries by examining the African students' motivation for and perceptions of studying and living in China, their plans after graduation, and opinions on cooperation and development. Research data came from national and institutional statistics, and 75 interviewees from ZJNU, including African students, students of other nationalities, Chinese students, and Chinese faculty members. The dissertation has six chapters. The first three chapters provide background information, discuss theoretical framework, and describe the methodologies applied for the fieldwork research. The following chapters attempt to deconstruct research questions and explore China's discourse on SSC, and to analyze its engagement with Africa's higher education and human capacity building by looking into China's Africa policy and China's alternative model of development (with Chinese characteristics). Since each research component is inextricably linked with China's socio-economic development and policy changes, the analysis for the field research has the potential to open up areas of knowledge that have been overlooked in the past few decades.

Abstract
This paper reports on a translation project launched at Xi'an International Studies University (XISU) in 2017 that focuses on political news published by Hanban, which offers a platform for instructions and services for Chinese language and culture globally. Assisted by the metaphor identification method MIPVU (Metaphor Identification Procedure from Vrije Universiteit) and the data retrieval software HyConc, metaphors in the self-established corpus were efficiently and comprehensively identified. The metaphors were classified into 12 categories based on metaphorical images in the source domains. Next, an analysis of the cultural, communicative, and political characteristics or features of the metaphors was conducted under the framework of semiotics by using a diversity of images of the metaphors' corresponding signifier and signified to trace the emergence, processing/understanding, and transformation of the metaphors through translation. Ultimately, three feasible translation techniques are proposed that are suitable for different types of metaphors: 1) preserving the metaphorical image, 2) preserving the metaphorical image with annotation, and 3) transforming the metaphorical image, in pursuit of providing reference for translators in related translation practice.