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Haidian, China

The China Institute of Industrial Relations, known until 2003 as the China Labor College, is a university in Beijing, China. It is run by the All-China Federation of Trade Unions. As of 2009, its enrollment comprised roughly 1,100 people in the undergraduate division, and 600 in the vocational division. It carries out teaching and research across a range of the social and management science, with a particular focus on courses on trade unionism, labour law, industrial relations, economic management and public administration. Wikipedia.

Xiao X.,China Institute of Industrial Relations
Proceedings - 2013 4th International Conference on Digital Manufacturing and Automation, ICDMA 2013

The undergraduate mentorship evaluation is the key of booting the implement of undergraduate mentorship system in colleges, and of cultivating innovative practice talents. This paper, through analyzing the existing problems in current undergraduate mentorship system, constructs the evaluation indicators system of undergraduate mentorship from five aspects, which are personal quality, working attitude, mentoring method, mentorship effect, and student evaluation. By applying the Fuzzy Comprehensive Assessment Method, we quantify the evaluation indicators of undergraduate mentorship so as to make the evaluation more scientific and rational. © 2013 IEEE. Source

Yan J.,China Institute of Industrial Relations
Procedia Engineering

Disharmony in China primarily reflected in the income, education, employment. The research object of this paper was crime in social security incidents. Income inequality and education has been viewed as having important impact on crime. Many literatures reported that higher income inequality is associated with higher crime rates. Some literatures concluded education development can raise the residents' income level and reduce income inequality, thereby result in slower crime growth. In China, residents' income has increased largely. But at the same time, GINI coefficient has continued to improve in recent years, and the crime rate has continually increased. This paper analyzed the long-run and short-run relationships between property crime rate and income inequality, education, unemployment, based on vector error correction model. Variables in the model included per capita annual disposable income of Chinese urban households, GINI coefficient, and enrolment rate of junior secondary graduates entering senior secondary schools and unemployment rate. Data used are time series data from 1978 to 2007 in China. The result confirms the existence of long-run equilibrium relationship between income inequality, education and crime. And income and income inequality effect change in crime rate in short-run significantly. © 2012 The Authors. Published by Elsevier Ltd. Source

Sun G.-L.,China Institute of Industrial Relations
Baozha Yu Chongji/Explosion and Shock Waves

Liquid paraffin and RDX explosive were mixed into copper acetate used as a precursor. The well-proportioned mixture was initiated in a detonation reaction container that was vacuumed to prepare perfect spherical nano-copper crystal particles. The morphology and composition of the detonation soot were analyzed by transmission electron microscopy (TEM) and X-ray diffraction (XRD). And the carbon structures in the detonation soot were characterized by Raman spectroscopy. The results indicate that the structure of the copper nano-particles prepared by the detonation technique is spherical with a smooth surface. Moreover, the diameters of the copper nano-particles are distributed between 150~200 nm. So the detonation technique can provide a simple and rapid way to prepare copper nano-particles with a good roundness. Source

Wang M.,China Institute of Industrial Relations | Guo M.,Beijing Research Institute for Traffic Engineering
Journal of Transportation Systems Engineering and Information Technology

The comprehensive analysis of traffic states are effective ways to eliminate some traffic problems and enhance the supervising ability of the traffic management departments, which includes real-time monitoring, evaluation and prediction the states of the entire city. With analyzing the traffic flow characteristic on several typical roads in Beijing and summarizing the existing traffic prediction models, this paper proposes a combination forecasting model. It is mainly based on the nonparametric regression model. The combination of Fourier's history estimated model, nonparametric autoregressive model and nonparametric neighborhood regression model are used to predict the traffic state of typical Roads. Considering the reality of the traffic flow information collection system of Beijing and the needs of predicting information released by graphical way in the future, the paper also presents the heterogeneous data fusion methods and road traffic code model. © 2013, China Association for Science and Technology. Electronic version published by Elsevier Limited. All rights reserved. Source

Tian Z.,China Institute of Industrial Relations | Fu Y.,Beijing Technology and Business University | Liu S.,Beijing Normal University | Liu F.,Beijing Normal University
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Unmanned Aerial Vehicle (UAV) provides a new platform for the application of remote sensing with its advantages of high efficiency, high spatiotemporal resolution, low cost and risk. This paper designed an experiment to obtain the remote sensing data of winter wheat and corn by the ADC Air vegetation canopy camera carried on UAV platform in Shunyi district of Beijing from April 3, 2011 to November 13, 2011. In order to acquire remote sensing data of high quality, the UAV was arranged to fly every 7~10 days during the whole growing period of winter wheat and corn, and the total flight times amounted to 33. Based on these data the spectral characteristics of winter wheat were analyzed, and the NDVI statistical characteristic value of wheat, light soil and shadow soil was also computed. According to these work, this paper proposed an automatic classification algorithm to classify different crop objects in UAV remote sensing images. Specifically, the reflectance of green band and infrared band was compared to classify three kinds of objects roughly, and then NDVI was calculated for further classification. In this experiment, the NDVI threshold 0.7 was chosen to separate winter wheat from light soil, and 0.4 to separate light soil form shadow soil. As for corn, the NDVI threshold 0.5 was chosen to separate corn from light soil and 0.3 to separate light soil from shadow soil. This automatic classification algorithm attained the accuracy of 96.18% in winter wheat identification, and 90.14% in corn identification, which means the algorithm can get almost same accuracy as maximum likelihood classification, while it needs less time and artificial participation. The classification results show that, compared to other commonly used methods of the remote sensing image classification (maximum likelihood method, SVM method, ISODATA method etc.), this automatic classification method has higher accuracy and universality but lower time cost. This method would have an extensive application prospect in extracting the information of crop from mass data of UAV system. Source

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