In order to optimize the ladder-pricing scheme in Shanghai, we present a multi-objective optimization model (MOOM). To build this model, first we use price elasticity theory;divide the ladder pricing into peak electri...In order to optimize the ladder-pricing scheme in Shanghai, we present a multi-objective optimization model (MOOM). To build this model, first we use price elasticity theory;divide the ladder pricing into peak electricity bill and valley electricity bill in the time dimension to model the single-user demand response. Second based on the single-user demand response model, combined with the overall users’ electricity distribution density function, we build an all-users demand response model. The proposed model has two objectives: minimize energy consumption and maximize residents’ satisfaction. Simulation results confirm that the proposed model can optimize the ladder-pricing scheme.展开更多
Mobile broadcasting services provided by converged networks do aid in satisfying users' demands for popular multimedia content while unicasting services offer personalized experiences for users.We analyze hybrid b...Mobile broadcasting services provided by converged networks do aid in satisfying users' demands for popular multimedia content while unicasting services offer personalized experiences for users.We analyze hybrid broadcasting unicasting framework from the perspective of network economics,where content provider(CP) figures out the cooperation of broadcasting and unicasting services providers,as long as their pricing strategies.To this end,a contract-based content delivery scheme is proposed.The profit of CP depends on users' preference and satisfaction for unicasting and broadcasting transmission.CP provides different users with distinctive data packages.The intent is to maximize its own profit.By classifying users into different types,the optimal contract in close form is derived.Numerical results show that the proposed optimal contract is able to generate incentive for users to employ broadcasting transmission,which further benefits both the CP and users.展开更多
Given that the USA and Germany are the most populous countries in North America and Western Europe,understanding the behavioral differences between American and German users of online social networks is essential.In t...Given that the USA and Germany are the most populous countries in North America and Western Europe,understanding the behavioral differences between American and German users of online social networks is essential.In this work,we conduct a data-driven study based on the Yelp Open Dataset.We demonstrate the behavioral characteristics of both American and German users from different aspects,i.e.,social connectivity,review styles,and spatiotemporal patterns.In addition,we construct a classification model to accurately recognize American and German users according to the behavioral data.Our model achieves high classification performance with an F1-score of 0.891 and AUC of 0.949.展开更多
文摘In order to optimize the ladder-pricing scheme in Shanghai, we present a multi-objective optimization model (MOOM). To build this model, first we use price elasticity theory;divide the ladder pricing into peak electricity bill and valley electricity bill in the time dimension to model the single-user demand response. Second based on the single-user demand response model, combined with the overall users’ electricity distribution density function, we build an all-users demand response model. The proposed model has two objectives: minimize energy consumption and maximize residents’ satisfaction. Simulation results confirm that the proposed model can optimize the ladder-pricing scheme.
基金partly supported by NSFC Grant (No.61672342,No.61671478,No.61572319,No.61532012,No.61325012,No.91438115)Science & Technology Innovation Program of Shanghai Grant (No.17511105103)+1 种基金National Key Scientif ic Research Project under Grant (No.2017YFB0803200)Natural Science Foundation of Shanghai under Grant (No.14ZR1427700)
文摘Mobile broadcasting services provided by converged networks do aid in satisfying users' demands for popular multimedia content while unicasting services offer personalized experiences for users.We analyze hybrid broadcasting unicasting framework from the perspective of network economics,where content provider(CP) figures out the cooperation of broadcasting and unicasting services providers,as long as their pricing strategies.To this end,a contract-based content delivery scheme is proposed.The profit of CP depends on users' preference and satisfaction for unicasting and broadcasting transmission.CP provides different users with distinctive data packages.The intent is to maximize its own profit.By classifying users into different types,the optimal contract in close form is derived.Numerical results show that the proposed optimal contract is able to generate incentive for users to employ broadcasting transmission,which further benefits both the CP and users.
基金supported by the National Natural Science Foundation of China(Nos.61602122 and 71731004)the Natural Science Foundation of Shanghai(No.16ZR1402200)+2 种基金Shanghai Pujiang Program(No.16PJ1400700)EU FP7 IRSES Mobile Cloud project(No.612212)Lindemann Foundation(No.12-2016).
文摘Given that the USA and Germany are the most populous countries in North America and Western Europe,understanding the behavioral differences between American and German users of online social networks is essential.In this work,we conduct a data-driven study based on the Yelp Open Dataset.We demonstrate the behavioral characteristics of both American and German users from different aspects,i.e.,social connectivity,review styles,and spatiotemporal patterns.In addition,we construct a classification model to accurately recognize American and German users according to the behavioral data.Our model achieves high classification performance with an F1-score of 0.891 and AUC of 0.949.
