128 research outputs found

    Song Xu Jiexiao xian sheng wen ji: [30 juan, shi shi, yu lu]. v.1

    No full text
    線裝, 一函.Xian zhuang; yi han

    HIGH PERFORMANCE TRANSLUCENT SOFT PIEZOELECTRIC NANOCOMPOSITES

    No full text
    Soft piezoelectric nanocomposites have attracted significant interest due to their flexibility and stretchability which are beneficial for a variety of applications. However, there is no soft and transparent piezoelectric material with good piezoelectric performance The transparency of piezoelectric nanocomposite would be beneficial for the applications that need both good transmission of light and energy harvesting/sensing capability. To address this issue, a facile method to fabricate high performance soft piezoelectric nanocomposites with enhanced light transmission is developed by incorporating silver nanowires as conductive fillers. During the fabrication process, ethanol was used to help the mixing of the composites and continuous magnetic stirring was applied during ethanol evaporation for good blending of the composite. After curing the mixture, the piezoelectric coefficient (d33) was measured to evaluate the piezoelectric performance by measuring the electric output as a function of a mechanical loading. The data analysis showed that the silver nanowire incorporated piezoelectric composite has a higher d33 coefficient (d33~100 pC/N at its peak) than that of the commercially available PVDF (d33: 30~40 pC/N). We envision that the methods we developed and the findings from the study will contribute to applications of piezoelectric composites for a wider range of applications and provide guidelines for future research

    China's People-to-people Diplomacy and Its Importance to China-EU Relations: A Historical Institutionalism Perspective

    No full text
    People-to-people exchange has become a heated topic of the Chinese foreign policy. Since the beginning of the twenty-first century, China has established people-to-people dialogues with the United States, the European Union, the United Kingdom, France and Russia. In 2012, China and the EU established a high-level dialogue for people-to-people exchange, making people-to-people exchange the third pillar of China-EU relations. However, China is not a newcomer to people-to-people exchanges with Europe. Why does China launch the people-to-people diplomacy? Is it a plus or a must for China as well as for China-EU relations? The author reviews the history and current situation of China's people-to-people exchange and investigates China’s motivations behind the policy. Using the historical institutionalism as an approach, this paper argues that people-to-people diplomacy is a key component of the contemporary Chinese foreign policy towards Europe. China has long been an unequal counterpart to Europe since the 1840s. After the development of bilateral political and economic cooperation in the past four decades, people-to-people diplomacy is the last part that China needs to finish in order to regain equal status with Europe. In addition, it is also a step towards realising the "great rejuvenation of the Chinese nation"

    PDMS/Ag/Mxene/Polyurethane Conductive Yarn as a Highly Reliable and Stretchable Strain Sensor for Human Motion Monitoring

    No full text
    The conductivity and sensing stability of yarn-based strain sensors are still challenges when it comes to practical applications. To address these challenges, surface engineering of polyurethane (PU) yarn was introduced to improve its surface hydrophilicity for better deposition of MXene nanosheets in its dispersion. The introduction of Ag nanoparticles via magnetron sputtering greatly improved the surface conductivity; meanwhile, the encapsulation of the PDMS protective layer effectively enhanced the sensing stability over 15,000 cycling process, as well as the working range with a gauge factor value over 700 under a strain range of 150–300%. Moreover, the exploration of its applications in human motion monitoring indicate that the prepared strain-sensing yarn shows great potential in detecting both tiny motions or large-scale movements of the human body, which will be suitable for further development into multifunctional smart wearable sensors or metaverse applications in the future

    Clustering Hyperspectral Imagery via Sparse Representation Features of the Generalized Orthogonal Matching Pursuit

    No full text
    This study focused on improving the clustering performance of hyperspectral imaging (HSI) by employing the Generalized Orthogonal Matching Pursuit (GOMP) algorithm for feature extraction. Hyperspectral remote sensing imaging technology, which is crucial in various fields like environmental monitoring and agriculture, faces challenges due to its high dimensionality and complexity. Supervised learning methods require extensive data and computational resources, while clustering, an unsupervised method, offers a more efficient alternative. This research presents a novel approach using GOMP to enhance clustering performance in HSI. The GOMP algorithm iteratively selects multiple dictionary elements for sparse representation, which makes it well-suited for handling complex HSI data. The proposed method was tested on two publicly available HSI datasets and evaluated in comparison with other methods to demonstrate its effectiveness in enhancing clustering performance

    Lü man lu shi cun /

    No full text
    Imprint date from preface.Mode of access: Internet

    Online Street View-Based Approach for Sky View Factor Estimation: A Case Study of Nanjing, China

    No full text
    The Sky View Factor (SVF) stands as a critical metric for quantitatively assessing urban spatial morphology and its estimation method based on Street View Imagery (SVI) has gained significant attention in recent years. However, most existing Street View-based methods prove inefficient and constrained in SVI dataset collection. These approaches often fall short in capturing detailed visual areas of the sky, and do not meet the requirements for handling large areas. Therefore, an online method for the rapid estimation of a large area SVF using SVI is presented in this study. The approach has been integrated into a WebGIS tool called BMapSVF, which refines the extent of the visible sky and allows for instant estimation of the SVF at observation points. In this paper, an empirical case study is carried out in the street canyons of the Qinhuai District of Nanjing to illustrate the effectiveness of the method. To validate the accuracy of the refined SVF extraction method, we employ both the SVI method based on BMapSVF and the simulation method founded on 3D urban building models. The results demonstrate an acceptable level of refinement accuracy in the test area
    corecore