ALBERT

Description: Over the past years, new urbanization in China has accelerated steadily and led to a continuous increase in ecological-environmental (eco-environmental) stress. A deep understanding of the coupling relationship between new urbanization and ecological-environmental stress is essential to benefiting the urban management in making decisions. How to realize the coordinated development of urbanization and the eco-environment is not only the key issue in world economic and social development, but has also been a hot topic of research in recent years. However, the quantitative relationship and the interaction mechanism between the new urbanization and ecological-environmental stress are still unclear. To fill this gap, this study constructed comprehensive assessment indicators for evaluating new urbanization and eco-environmental stress systems to accomplish the following objectives. We aimed to identify the spatial and temporal pattern of coupling and coordinating degree between new urbanization and eco-environmental stress in China during the period of 2005–2016. The degrees of coupling and coordination of new urbanization and eco-environmental stress systems in China in 2005, 2010, and 2016 were calculated at the provincial level. The degrees of coupling and coordination have achieved stable and continuous improvement from 0.389 to 0.484. We further aimed to evaluate the regional coupling and estimate the stage of urbanization at which an optimal outcome could be achieved in order to ensure high-quality urbanization in China. According to the model of coupling and coordination degree, this paper divided the Chinese territory into four area types: well coordination, middle coordination, primary coordination, and reluctance coordination, and about 35% of the provinces belonged to the well and middle coordination types. Lastly, this paper analyzed the spatial pattern and cluster mode of the coupling coordination of new urbanization and eco-environmental stress systems by using ArcGIS and GeoDa. The analysis implied that coupling coordination existed with obvious regional disparity. Moreover, the degrees of coupling coordination of the developed east coastal and middle area were generally higher than those of the undeveloped west area. The findings indicate that for different regions, the reluctance coordination and primary coordination subclass regions should accelerate to realize green transformation, improve the industrial structure, and strengthen the environmental law-enforcing supervision. However, we could not conduct an internal structural analysis. Future research will focus on conducting an internal structural analysis and an element system metrics analysis.

Description: In this paper, we propose a new method, which is called the combination projection method (CPM), for solving the convex feasibility problem (CFP) of finding some x * ∈ C : = ∩ i = 1 m { x ∈ H | c i ( x ) ≤ 0 } , where m is a positive integer, H is a real Hilbert space, and { c i } i = 1 m are convex functions defined as H . The key of the CPM is that, for the current iterate x k , the CPM firstly constructs a new level set H k through a convex combination of some of { c i } i = 1 m in an appropriate way, and then updates the new iterate x k + 1 only by using the projection P H k . We also introduce the combination relaxation projection methods (CRPM) to project onto half-spaces to make CPM easily implementable. The simplicity and easy implementation are two advantages of our methods since only one projection is used in each iteration and the projections are also easy to calculate. The weak convergence theorems are proved and the numerical results show the advantages of our methods.

Description: A linear electrical generator can be used on wave energy converter for converting the kinetic energy of a floating structure to the electricity. A wave farm consists of multiple wave energy converters which equipped in a sea area. In the present paper, a numerical model is proposed considering not only the interference effect in the multiple floating structures, but also the controlling force of each linear electrical generator. In particular, the copper losses in the electrical generator is taken into account, when the electrical power is computed. In a case study, the heaving motions and electrical powers of the multiple wave energy converters are estimated in the straight arrangement and triangle arrangement. In addition, the average electrical power is analyzed in different distances of the floating structures. The aim of this paper is to clear the relationship between the interference effect and electric powers from wave energy converters. This will be useful for deciding the arrangement of multiple wave energy converters.

Description: With the development of intelligent vehicle technologies, vehicles can obtain more and more information from various sensors. Many researchers have focused on the vertical and horizontal relationships between vehicles in a vehicle cluster environment and control of the vehicle power system. When the vehicle is driving in the cluster environment, the powertrain system should quickly respond to the driver’s dynamic demand, so as to achieve the purpose of quickly passing through the cluster environment. The vehicle powertrain system should be regarded as a separate individual to research its active control strategy in a vehicle cluster environment to improve the control effect. In this study, the driving characteristics of vehicles in a cluster environment have been analyzed, and a vehicle power-demanded prediction algorithm based on a vehicle-following model has been proposed in a cluster environment. Based on the vehicle power demand forecast and driver operation, an active control strategy of the vehicle powertrain system has been designed considering the passive control strategy of the powertrain system. The results show that the vehicle powertrain system can ensure a sufficient backup power with the active control proposed in the paper, and the motor efficiency is improved by 0.61% compared with that of the passive control strategy. Moreover, the overall efficiency of the powertrain system is increased by 0.6% and the effectiveness of the active control is validated using the vehicle cluster environment.