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- 저자 : Liu Nianzu (검색결과 2 건)
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Smart Parking by Mobile Crowdsensing
Xiao Chen,Nianzu Liu 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.2
An increasing number of mobile applications aim to realize “smart cities” by utilizing contributions from citizens armed with mobile devices like smartphones. However, there are few generally recognized guidelines for developing and deploying crowdsourcing-based solutions in mobile environments. This paper considers the design of a crowdsensing-based smart parking system as a specific case study in an attempt to explore the basic design principles applicable to an array of similar applications. Through simulations, we show that the strategies behind crowdsensing activities can influence the utility of such applications significantly. Equally important, we show that a certain level of freeriding could be allowed to increase social benefits as long as a reasonable service differentiation mechanism exists. Our findings provide designers with a better understanding of mobile crowdsensing features and help guide successful designs.
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Study of Multi-attribute Comprehensive Evaluation Method Based on Attribute Theory
Xu Guanglin,Liu Nianzu,Duan Xueyan 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.3
The study of Comprehensive Evaluation Model of Attribute Theory has gained fruitful achievements in both theory and practice. But the current preference curve of evaluator is assumed to be a smooth quadratic equation which fails to well reflect the change of evaluator’s preference when indicators increase. After analyzing the principle of comprehensive evaluation model, this paper does simulation experiments to prove the rationality of the preference curve. By increasing the interpolation points and comparing the evaluator’s preference curves respectively generated by the polynomial interpolation and cubic spline interpolation, a conclusion is reached that cubic spline interpolation is better than the polynomial interpolation, and 4 full-score hyperplanes are to be adopted to get the most rational curve to reflect the change of evaluator’s preference. The main contributions of this paper are the analysis of the rationality of different preference curves under comprehensive evaluation model based on the attribute theory and the finding that the most reasonable curve depend on the selection of different hyperplane S2.
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