Kang Jian

China National Petroleum Corporation | CNPC · Department of Geophysics

Here, fifteen OPEs were investigated in n = 50 floor dust samples collected from six types of indoor spaces in Nanjing, eastern China, in the year 2018. Ten OPEs, including tris(2-chloroethyl) phosphate (TCEP), tris(2-chloroisopropyl) phosphate (TCIPP), tris(1,3-dichloro-isopropyl) phosphate (TDCIPP), tris(2-ethylhexyl) phosphate (TEHP), tris(2-but...

Food products are inevitably contaminated by flame retardants throughout their lifecycle (i.e., during production, use, and disposal). In order to evaluate the dietary intake of legacy and emerging halogenated flame retardants (HFRs) in typical market food in China, we investigate the distribution and profile of 27 legacy polybrominated diphenyl et...

Despite of the ubiquity of organophosphate esters (OPEs) in various environmental matrices, information regarding the dietary intakes of OPEs is currently limited. To better understand dietary exposure and intake, the present study investigated 11 OPE flame retardants (FRs) in 105 composite food samples divided into 9 food categories, collected in...

Smartphones have become an integral tool of society; in the year 2017, approximately 30% of the global population used smartphones. After their life cycle of use, most smartphones are not recycled and are instead discarded as e-waste, which increases the probability that chemicals they contain will eventually be released into the natural environmen...

Given the ongoing studies on the adverse effects of organophosphate ester (OPE) flame retardants and plasticizers on human health, there is an increasing scientific interest in the risk of exposure to OPEs via dietary intake. Using peer-reviewed literature published up to 2018, this review surveyed and compiled the available and reported data on th...

Data association technology is the key part in multi-sensor target tracking system and has a great significance for research. The efficiency of target tracking should be guaranteed first and the improvement of target tracking precision and reduction of the computation complexity are the key points. In the multiple clutters and multiple targets envi...

In the complex electromagnetic environment, the feature parameters could be classified with favorable separating degree in high Signal-to-noise ratio (SNR) by conventional gray relation algorithm. In low SNR, however, it will be existed overlapping phenomenon and even hard to select standard sample values of unstable parameter. Aiming to these issu...

For issues like one ticket veto, improper distribution and high reliability conflict which in Dempster-Shafer (DS) evidence theory, this study has put forward an improved method to overcome these problems. This method is still cited DS evidence theory synthesis formula and redistribute the main evidence source. This study has considered importance...

The purpose of the investigation is to ensure equipment dependable operation. A novel prediction model based on grey residual neural network is proposed in this paper, which is composed of grey residual model (GRM) and information neural network (INN). Firstly, it predicts key feature information by GRM which is expressed as quantitative values. In...

In this paper, a novel fault prediction method is proposed for complicated equipments, which extracts features by energy comparing method and realizes pattern recognition by multi-class support vector machines (SVM). Firstly, signal features are extracted by energy comparing method, which combines multi-resolution analysis of wavelet packets and en...