5,451 research outputs found
Integration of English ‘teaching-learning-assessing’ in Chinese High Schools: A Literature Review
Classroom assessment has always been the focus of research on foreign language teaching, and "integration of teaching and assessment" has become a heated topic in international second language teaching field, but this topic has not yet attracted the attention of some scholars. In result, this paper retrieves the papers published domestic and abroad between 2017 and 2023 focusing on the "integration of teaching and evaluation" in English subject as data sources and analyzes the research contents. The results show that the research type of "integration of teaching-learning-assessing" is mainly theoretical research, but the number of empirical research is quite small. Besides, the theoretical research also shows an upward trend. The research objects are mainly secondary school English teachers and students. The research content focuses on the following four aspects: the definition of "integration of teaching-learning-assessing"; the implementation path of "integration of teaching-learning-assessing" in the classroom; the application of "integration of teaching-learning-assessing" in specific subjects and the investigation of "integration of teaching-learning-assessing" in the classroom. The data collection methods were mainly questionnaires, interviews and classroom observations. In the end of this paper, the future research and the development trend of "integration of teaching-learning-assessing" are pointed out
Measuring the similarity of PML documents with RFID-based sensors
The Electronic Product Code (EPC) Network is an important part of the
Internet of Things. The Physical Mark-Up Language (PML) is to represent and
de-scribe data related to objects in EPC Network. The PML documents of each
component to exchange data in EPC Network system are XML documents based on PML
Core schema. For managing theses huge amount of PML documents of tags captured
by Radio frequency identification (RFID) readers, it is inevitable to develop
the high-performance technol-ogy, such as filtering and integrating these tag
data. So in this paper, we propose an approach for meas-uring the similarity of
PML documents based on Bayesian Network of several sensors. With respect to the
features of PML, while measuring the similarity, we firstly reduce the
redundancy data except information of EPC. On the basis of this, the Bayesian
Network model derived from the structure of the PML documents being compared is
constructed.Comment: International Journal of Ad Hoc and Ubiquitous Computin
violation induced by the double resonance for pure annihilation decay process in Perturbative QCD
In Perturbative QCD (PQCD) approach we study the direct violation in the
pure annihilation decay process of
induced by the and
double resonance effect. Generally, the violation is small in the
pure annihilation type decay process. However, we find that the violation
can be enhanced by double interference when the invariant masses
of the pairs are in the vicinity of the resonance. For
the decay process of , the
maximum violation can reach 28.64{\%}
Distinguishing Computer-generated Graphics from Natural Images Based on Sensor Pattern Noise and Deep Learning
Computer-generated graphics (CGs) are images generated by computer software.
The~rapid development of computer graphics technologies has made it easier to
generate photorealistic computer graphics, and these graphics are quite
difficult to distinguish from natural images (NIs) with the naked eye. In this
paper, we propose a method based on sensor pattern noise (SPN) and deep
learning to distinguish CGs from NIs. Before being fed into our convolutional
neural network (CNN)-based model, these images---CGs and NIs---are clipped into
image patches. Furthermore, three high-pass filters (HPFs) are used to remove
low-frequency signals, which represent the image content. These filters are
also used to reveal the residual signal as well as SPN introduced by the
digital camera device. Different from the traditional methods of distinguishing
CGs from NIs, the proposed method utilizes a five-layer CNN to classify the
input image patches. Based on the classification results of the image patches,
we deploy a majority vote scheme to obtain the classification results for the
full-size images. The~experiments have demonstrated that (1) the proposed
method with three HPFs can achieve better results than that with only one HPF
or no HPF and that (2) the proposed method with three HPFs achieves 100\%
accuracy, although the NIs undergo a JPEG compression with a quality factor of
75.Comment: This paper has been published by Sensors. doi:10.3390/s18041296;
Sensors 2018, 18(4), 129
Analysis on Correlation between Personal Financial Investment and Macroeconomic Development in China
This paper summarizes the variation characteristics of personal investment selection in China and analyses the correlation between personal financial investment selection and macro financial economic development. The result indicates that Chinese residents’ personal financial investment is greatly associated with GDP, price of commodities and interest rates but slightly with employment rate. Key words: personal finance, investment selection, macroeconomy, correlationRésumé: Le présent article résume les caractéristiques des variations du choix de l’investissement personnel en Chine et analyse la corrélation entre le choix de l'investissement financier personnel et le développement macroéconomique et financier. Le résultat indique que l'investissement financier personnel des résidents chinois est étroitement lié avec le PIB, les prix des produits et les taux d'intérêt, mais légèrement avec le taux d'emploi.Mots-clés : financement personnel; choix de l’investissement ; macroéconomie; corrélatio
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