Proceedings of the 2012 ACM Conference on Ubiquitous Computing 2012
DOI: 10.1145/2370216.2370232
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Cited by 10 publications
(13 citation statements)
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“…Steel demand is driven by the need for buildings, infrastructure, and vehicle production. Coincident with China's growth over the last generation, global raw steel demand rose 3.3%/year from~650 Mt in 1990to~1,500 Mt in 2015(Accenture Research, 2017; UN Environment et al, 2018). Demand is projected to rise at a slower pace in the future, between 0.4 and 1.4%/year through 2035 from slower Chinese demand, broad system efficiencies, and higher Indian and African and other developing country demand, bringing it to~2,100 Mt/year by 2050 if growth rates continue (Accenture Research, 2017).…”
Section: Projected Demand For Key Industrial Materialsmentioning
confidence: 99%
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“…Steel demand is driven by the need for buildings, infrastructure, and vehicle production. Coincident with China's growth over the last generation, global raw steel demand rose 3.3%/year from~650 Mt in 1990to~1,500 Mt in 2015(Accenture Research, 2017; UN Environment et al, 2018). Demand is projected to rise at a slower pace in the future, between 0.4 and 1.4%/year through 2035 from slower Chinese demand, broad system efficiencies, and higher Indian and African and other developing country demand, bringing it to~2,100 Mt/year by 2050 if growth rates continue (Accenture Research, 2017).…”
Section: Projected Demand For Key Industrial Materialsmentioning
confidence: 99%
“…• Steel iron ore "deoxidization" CO 2 process emissions and melting heat (Fischedick, Marzinkowski, Winzer, & Weigel, 2014). • Cement lime calcination CO 2 process emissions and two stages of process heating, 800 C for decarbonation of limestone and 1,450 C for clinker processing ( UN Environment et al, 2018). • Steam methane reforming CO 2 process emissions for hydrogen feedstock production for ammonia for fertilizers and other chemicals (Philibert, 2017).…”
mentioning
confidence: 99%
“…thus, the commuting flow of the area from a grid to another grid can be predicted through gravity model function with the obtained coefficients µ, θ, γ and α. Since the gravity model function can be transferred to be Equation (10), our objective can be equivalent to obtain the coefficients µ, θ, γ and ln α to make Equation 10…”
Section: Transition Probabilitymentioning
confidence: 99%
“…Once the adversaries acquire the users' trajectory data, they can analyze the users' trajectories to extract the users' sensitive information including home address, company address, health conditions, personal interests, and hobbies through data mining [9]. As a result, the adversaries can judge the uses' regular lifestyle and may make some harassment or behavior for the purpose of profit [10]. Therefore, the trajectory protection for IoT is especially a critical issue that urgently needs to be solved.…”
Section: Introductionmentioning
confidence: 99%
“…Yang, Zhu, Seiter, and Tröster () introduced a measure based on how revealing a place category can be based on its uniqueness in the vicinity. Fechner and Kray () discussed different human strategies to re‐identify previously anonymized individuals. In an experiment involving a location‐based game, they have shown that such strategies can be extremely successful.…”
Section: Safeguarding Geoprivacymentioning
confidence: 99%