1/2 Space Urban Landscape Design Approaches for Gothenburg Riverside Development

Nowadays, rising water level is a problem faced by many cities which has put alert to us. If we don’t continue paying more attention to these issues, we will lose our homes. Therefore, it is time to change the way we build our cities. This paper uses flood control as a precondition and proposes an urban landscape design method for riverside development. Gothenburg is the second largest city in Sweden and has serious flooding problems when facing the potential extreme weather. Based on data analysis, there are two main reasons that cause the flood issue: one is the saltwater intrusion, and the other one is climate change. There are many abandoned industrial areas next to water in central parts of the city which need to be renewed. Such as Ringön, our study site, its central location and proximity to the water become important opportunities to get more attention and development. Ringön area has a good chance to be changed into public space and residential area, especially the waterfront area. This paper depends on the methodology of Ian Thompson’s theory of three principal value systems that influence landscape architectural practice- Delight, Community and Ecology. We have a profound understanding and knowledge of how to use resources of a riverfront space, then we put forward our design concept, the 1/2 space theory which combine the methodology and system theory together. The design proposal is based on the concept of 1/2 space theory which analyses the site background and design process. These studies have ended up in analysis for the further evaluation both locally and regionally. The consequences of the project is to alleviate the local flooding problem, bring a comfortable living environment to citizens, as well as promote the Delight, Community and Ecological values to Ringön and the places nearby, and in the end, to achieve an urban sustainable development

Learning to Navigate in a VUCA Environment: Hierarchical Multi-expert Approach

Despite decades of efforts, robot navigation in a real scenario with volatility, uncertainty, complexity, and ambiguity (VUCA for short), remains a challenging topic. Inspired by the central nervous system (CNS), we propose a hierarchical multi-expert learning framework for autonomous navigation in a VUCA environment. With a heuristic exploration mechanism considering target location, path cost, and safety level, the upper layer performs simultaneous map exploration and route-planning to avoid trapping in a blind alley, similar to the cerebrum in the CNS. Using a local adaptive model fusing multiple discrepant strategies, the lower layer pursuits a balance between collision-avoidance and go-straight strategies, acting as the cerebellum in the CNS. We conduct simulation and real-world experiments on multiple platforms, including legged and wheeled robots. Experimental results demonstrate our algorithm outperforms the existing methods in terms of task achievement, time efficiency, and security.Comment: 8 pages, 10 figure

Aqueous Binder Enhanced High-Performance GeP5 Anode for Lithium-Ion Batteries

GeP5 is a recently reported new anode material for lithium ion batteries (LIBs), it holds a large theoretical capacity about 2300 mAh g−1, and a high rate capability due to its bi-active components and superior conductivity. However, it undergoes a large volume change during its electrochemical alloying and de-alloying with Li, a suitable binder is necessary to stable the electrode integrity for improving cycle performance. In this work, we tried to apply aqueous binders LiPAA and NaCMC to GeP5 anode, and compared the difference in electrochemical performance between them and traditional binder PVDF. As can be seen from the test result, GeP5 can keep stable in both common organic solvents and proton solvents such as water and alcohol solvents, it meets the application requirements of aqueous binders. The electrochemistry results show that the use of LiPAA binder can significantly improve the initial Coulombic efficiency, reversible capacity, and cyclability of GeP5 anode as compared to the electrodes based on NaCMC and PVDF binders. The enhanced electrochemical performance of GeP5 electrode with LiPAA binder can be ascribed to the unique high strength long chain polymer structure of LiPAA, which also provide numerous uniform distributed carboxyl groups to form strong ester groups with active materials and copper current collector. Benefit from that, the GeP5 electrode with LiPAA can also exhibit excellent rate capability, and even at low temperature, it still shows attractive electrochemical performance

Crystal organometal halide perovskites with promising optoelectronic applications

Organometal halide perovskites AMX(3) (A = organic cation, M = metal cation, and X = halogen anion) have been dominating the photovoltaic fields with an unexpected sharp efficiency enhancement to 20.1% in the past five years. Furthermore, the extraordinary properties of optical absorption, photoluminescence and low non-radiative recombination rates extend their applications into optoelectronic fields beyond photovoltaic devices. This review briefly outlines the state-of-the-art research activities of crystal perovskite AMX3, describes the fundamental optoelectronic properties, specific morphologies and related synthesis techniques, and summarizes their functions in optoelectronic fields such as solar cells, lasers, light-emitting diodes and photodetectors. Finally, the general challenges and the potential future directions of this exciting research area are highlighted

A data mining framework within the Chinese NPPs operating experience feedback system for identifying intrinsic correlations among human factors

With the continuous increase in the number of operating nuclear power plants (NPPs) in China, the amount of operating experience feedback (OEF) increases significantly. On the other hand, the safe operation of NPPs has become an urgent problem that the National Nuclear Safety Administration (NNSA) must solve. To this end, NNSA established a nationalwide OEF system to improve the safety level of NPPs and strengthen the exchange of operating experience. Analyzing the human factors events (HFEs) is an important part of OEF and it is significant to improve human performance and prevent human error. Data mining has been recognized as an effective way to analyze data. With the continuous increase in operating event reports, data mining related to nuclear safety becomes a new domain of study. In this paper, we propose a data mining framework in support of the OEF system. The framework combines three statistical approaches (i.e., correlation analysis, cluster analysis and association rule mining) for identifying intrinsic correlations among human factors: correlation analysis measures the strength of linear relationship between human factors; cluster analysis classifies human factors into relevant groups; association rule mining identifies associations and causalities among human factors. For illustration, we apply the proposed framework to 162 human factors events (screened out from 313 events collected from the OEF system), and the results reflect the feasibility and effectiveness of the framework in identifying the intrinsic correlations among human factors. Besides, further suggestions for improving human performance and preventing human errors in NPPs are also discussed

In situ fabrication and investigation of nanostructures and nanodevices with a microscope

The widespread availability of nanostructures and nanodevices has placed strict requirements on their comprehensive characterization. Herein, in situ techniques are demonstrated to have created a rare opportunity to accurately analyze the intrinsic properties of individual nanostructures and to accomplish the smart design of nanodevices made from these nanostructures. This paper reviews recent developments in in situ fabrication and characterization technologies established within various types of microscopes and the rich information they may provide. The in situ techniques are shown to be important for exploration of many intriguing phenomena at the nanoscale which may then be followed by the smart integration of nanostructures into real functional devices. Successful in situ detection results are presented and discussed, especially in the areas of energy generation, biological imaging and water pumping. Finally, we conclude this article with an examination of the existing challenges and the outlook for this quickly emerging field