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Search: WFRF:(Wang Yujue) > (2016)

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1.
  • Wang, Bin, et al. (author)
  • A primary estimate of global PCDD/F release based on the quantity and quality of national economic and social activities
  • 2016
  • In: Chemosphere. - Oxford, United Kingdom : Elsevier. - 0045-6535 .- 1879-1298. ; 151, s. 303-309
  • Journal article (peer-reviewed)abstract
    • The correlations between polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs) releases and factors relevant to human social-economic activities (HSEAs) were analyzed. The multiple linear regression model was successfully developed to estimate the total global PCDD/F release. The PCDD/F releases significantly correlated with population, area, GDP and GNI, suggesting that "quantity" of HSEAs have significantly contributed to the PCDD/F releases. On another aspect, advanced technologies are usually adopted in developed countries/regions, and hence reduce the PCDD/F release. The significant correlation between PCDD/F release and CO2 emission implies the potential of simultaneous reduction of CO2 emission and PCDD/F release. The total global PCDD/F release from 196 countries/regions was estimated to be 100.4 kg-TEQ yr(-1). The estimated annual PCDD/F release per unit area ranged from 0.007 to 28 mg-TEQ km(-2). Asia is estimated to have the highest PCDD/F release of 47.1 kg-TEQ yr(-1), almost half of the total world release. Oceania is estimated to have the smallest total release but the largest per-capita release. For the developed areas, such as Europe and North America, the PCDD/F release per unit GDP is lower, while for Africa, it is much higher.
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2.
  • Wang, Yujue, et al. (author)
  • Quantifying Uncertainties of Security and QoS for Design of Power Grid Communications Systems
  • 2016
  • In: 2016 49th Hawaii International Conference on System Sciences (HICSS). - : IEEE Computer Society. - 9780769556703 ; , s. 2566-2575
  • Conference paper (peer-reviewed)abstract
    • Reliable and secure communication, and high quality of service (QoS) (low latency, high availability, etc.) of data are critical to the successful operation of power systems. However, uncertainties, both aleatory and epistemic, are inherent to the system, which makes it difficult to secure the communication while fulfilling the QoS requirements. Nowadays, the administrators of the power grid's communication system have much flexibility in choosing a specific security scheme but the uncertainties make answering the question "what is the best scheme" or even "what is an adequate scheme" very difficult. Appropriately quantifying uncertainty and its effects on security is a key to choosing a sufficiently secure communication system for power grid while meeting QoS requirements. In this paper, we model aleatory and epistemic uncertainties using probability distributions and subjective logic respectively. Comprehensive quantification of the uncertainties can greatly sharpen administrators' understanding of the trade-offs between security and QoS and help them to select the most fitting security scheme to meet the QoS requirements. A case study demonstrates how our method works for two different application scenarios.
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