ANALISIS SINGKAT AMBIGUITAS DALAM BAHASA TIONGHOA MODERN (浅谈现代汉语中的歧义问题)

In our daily life, either in speaking or writing, one needs to explain his meaning correctly. But in some sentences, the meanings of which are ambiguous and leads to many mistakes. Language disambiguation of modern Chinese language, as a part of language disambiguation, comes into being with the generate of Chinese language of modern significance. And because disambiguation itself contains a lot of unadorned beauty in linguistics, especially some disambiguation between linguistic forms and meanings, so the research of language disambiguation is a very important part of Chinese linguistics. Therefore, through some analyses of disambiguation, we can get many enlightenments, which is also a improvement of our observation and analyses of linguistic forms

20-Century Building Adaptive-Reuse: Office Buildings Converted to Apartments.

Adaptive re-use is a solution to avoiding the obsolescence of buildings in urban development. It is beneficial for the city, for the culture, for the environment, and for the building itself. Recently in the United States, historical office buildings converted into apartments have demonstrated a way to extend the life of these buildings. This thesis aims to analyze 20-century office buildings in New York City converted to apartments in order to examine the possibility of this kind of adaptive-reuse solution for historic office buildings in China. It investigates the history, policy, and design of adaptive-reuse of 20th-Century New York City office building into residential apartments for 21th-century living. It analyzes three cases to understand the requirements for a successful building transformation and speculates about future potential for adaptive re-use of modern office buildings. In addition, it identifies reasons why modern Chinese cities lack similar conversion projects and speculates on whether Chinese cities are suitable for adaptive re-use strategies like those developed in the United States

Analysis on the Formation Reasons for Traditional Urban Building Styles in Dubai

The paper indicates the traditional buildings in Dubai, analyzes the influential factors of the traditional urban building styles in Dubai from the local policies, natural environment, and religious culture, and indicates the reasons for the architectural styles in Dubai, so as to pro-vide the reference experience for the building and exploration of modern buildings

Towards Robust and High-performance Operations of Wave Energy Converters: an Adaptive Tube-based Model Predictive Control Approach

Model predictive control (MPC) is an effective control method to improve the energy conversion efficiency of wave energy converters (WECs). However, the current developed WEC MPC has not reached commercial viability since the control performance is significantly dependent on the WEC model fidelity. To overcome the plant-model mismatch issue in the WEC MPC control problem, this paper proposes a robust tube-based MPC method to bound plant states within disturbance invariant sets centered around the noise-free model trajectory. The invariant sets are also utilized for tightening the nominal model's constraints that robustly enable constraint satisfaction. Yet overly conservative invariant sets can narrow the feasible region of the states and control inputs, and hence a data-driven quantile recurrent neural network (QRNN) is proposed in this work to form a learning-based adaptive tube with reduced conservatism by quantifying WEC model uncertainties. The theoretical root is that time-dependent historical data can offer valuable insight into the future behaviour of uncertainties. Numerical simulations have validated that the proposed method can improve the energy capture rate compared to the TMPC approach, by synthesizing the QRNN-based tube with MPC

Robust Tube-Based Model Predictive Control for Wave Energy Converters

This paper proposes an efficient robust tube-based model predictive control (RTMPC) strategy for energy-maximization control of wave energy converters (WECs) subjectto constraints due to safety considerations. Compared with the existing MPC strategies developed for the WEC control problem, the RTMPC method provides an effective approach to explicitly handle plant-model mismatches with guaranteed constraint satisfaction, contributing to improved energy capture efficiency. The fundamental idea is to integrate disturbance invariant sets into the MPC scheme for energy-maximization control to form a tube-based predictive controller, which enhances the robustness of MPC for a WEC without increasing online computational complexity. The resulting RTMPC controller can bound the WEC plant trajectories in a tube centered around a nominal WEC model trajectory, and uncertainties from un-modeled WEC dynamics and unmeasured disturbances can be mitigated by an error feedback portion. Numerical simulations demonstrate the effectiveness of the proposed control strategy