209 research outputs found
The Contemporary Values and Practical Ways of Chinese National Culture Education
With the continuous development of the “Chinese national culture boom”, people’s understanding of national culture is deepening. National culture education is rich in connotation, covers multiple levels such as ideology, moral value, and humanism, and has contemporary value. As we enter the new era, we should strengthen cultural self-confidence and identity, improve cultural literacy and cultivation, and promote cultural exchange and integration as the focal points for inheriting and transmitting Chinese excellent traditional culture. Therefore, it is necessary to study traditional culture in depth, integrate it into the ideological and political curriculum, modern life and modern technology, actively promote the creative transformation and innovative development of Chinese excellent traditional culture, promote the modernization and transformation of traditional culture, and inject vitality and vigor into the dissemination of national culture
Cross-position Activity Recognition with Stratified Transfer Learning
Human activity recognition aims to recognize the activities of daily living
by utilizing the sensors on different body parts. However, when the labeled
data from a certain body position (i.e. target domain) is missing, how to
leverage the data from other positions (i.e. source domain) to help learn the
activity labels of this position? When there are several source domains
available, it is often difficult to select the most similar source domain to
the target domain. With the selected source domain, we need to perform accurate
knowledge transfer between domains. Existing methods only learn the global
distance between domains while ignoring the local property. In this paper, we
propose a \textit{Stratified Transfer Learning} (STL) framework to perform both
source domain selection and knowledge transfer. STL is based on our proposed
\textit{Stratified} distance to capture the local property of domains. STL
consists of two components: Stratified Domain Selection (STL-SDS) can select
the most similar source domain to the target domain; Stratified Activity
Transfer (STL-SAT) is able to perform accurate knowledge transfer. Extensive
experiments on three public activity recognition datasets demonstrate the
superiority of STL. Furthermore, we extensively investigate the performance of
transfer learning across different degrees of similarities and activity levels
between domains. We also discuss the potential applications of STL in other
fields of pervasive computing for future research.Comment: Submit to Pervasive and Mobile Computing as an extension to PerCom 18
paper; First revision. arXiv admin note: substantial text overlap with
arXiv:1801.0082
Analysis on Related Factors of Accident Tendency of Bus Drivers in Haikou City
Objective To understand the current situation of accident tendency of bus drivers in Haikou City, and to provide data reference for preventing bus traffic accidents in Haikou City. Methods: A total of 512 bus drivers with driving age ≥ 5 years were investigated by self-made questionnaire by random cluster sampling. The collected data were statistically analyzed by SPSS 26.0. Results: There were significant differences in accident proneness among bus drivers with different family pressure, relationship between different family members, different driving age, different driving time per day and different sleep time per day (P < 0.05). Conclusion: Drivers with high family pressure are easy to cause accidents many times, and drivers with general or disharmonious family members, lower driving age, less sleep time per day and longer driving time per day are easy to cause traffic accidents. Therefore, the relevant departments should take relevant measures according to these factors to reduce the incidence of bus drivers traffic accidents in Haikou City
The linear and nonlinear inverse Compton scattering between microwaves and electrons in a resonant cavity
In a free space, the Sunyaev-Zel'dovich (SZ) effect is a small spectral
distortion of the cosmic microwave background (CMB) spectrum caused by inverse
Compton scattering of microwave background photons from energetic electrons in
the plasma. However, the microwave does not propagate with a plane waveform in
a resonant cavity, the inverse Compton scattering process is a little different
from that in a free space. By taking the Fourier expansion of the microwave
field in the cavity, the coefficients of the first-order and the higher-order
terms describe the local-space effect on the linear and nonlinear inverse
Compton scattering respectively. With our theoretical results, the linear or
nonlinear inverse Compton scattering cross section between microwave photons
and electrons has important applications on the energy calibration of the
extremely energetic electron beam, the sources of the terahertz waves, the
extreme ultra-violet (EUV) waves or the mid-infrared beams.Comment: 8 pages, 5 figure
Prospects for shale gas production in China: Implications for water demand
AbstractDevelopment of shale gas resources is expected to play an important role in China's projected transition to a low-carbon energy future. The question arises whether the availability of water could limit this development. The paper considers a range of scenarios to define the demand for water needed to accommodate China's projected shale gas production through 2020. Based on data from the gas field at Fuling, the first large-scale shale gas field in China, it is concluded that the water intensity for shale gas development in China (water demand per unit lateral length) is likely to exceed that in the US by about 50%. Fuling field would require a total of 39.9–132.9Mm3 of water to achieve full development of its shale gas, with well spacing assumed to vary between 300 and 1000m. To achieve the 2020 production goal set by Sinopec, the key Chinese developer, water consumption is projected to peak at 7.22Mm3 in 2018. Maximum water consumption would account for 1% and 3%, respectively, of the available water resource and annual water use in the Fuling district. To achieve China's nationwide shale gas production goal set for 2020, water consumption is projected to peak at 15.03Mm3 in 2019 in a high-use scenario. It is concluded that supplies of water are adequate to meet demand in Fuling and most projected shale plays in China, with the exception of localized regions in the Tarim and Jungger Basins
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