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Yong Liu,Yuefeng Wu,Miaojun Su,Weihua Liu,Xiying Li,Fujian Liu 한국공업화학회 2020 Journal of Industrial and Engineering Chemistry Vol.92 No.-
A class of Brønsted–Lewis acid bifunctionalized ionic liquids based heteropolyacid hybrid (BLA-ILs-HPA)solid acids were developed by combining the double sulfonic groups grafted, ionic liquids basedheteropolyacid hybrid with Lewis acidic centers (M = Zn, Co, Fe, Ni, Cu). The prepared BLA-ILs-HPA showboth Brønsted and Lewis acidic sites with extremely-high acid strength and enhanced stabilities, asdetermined by FT-IR, Py-IR, TG, XPS and 31P solid state NMR results. BLA-ILs-HPA were successfullyapplied in esterification camphene with acetic acid to produce isobornyl acetate, and dehydration ofglucose to produce 5-hydrozymethylfural. BLA-ILs-HPA show enhanced catalytic activities in comparisonwith various acid catalysts. The effects of reaction temperatures, initial reactant molar ratio, catalystdosage, and reaction time were studied in detail. The optimal reaction conditions were obtained, and theexperimental data was successfully correlated by a pseudohomogeneous (PH) reaction kinetic model inthe temperature range of 313.15–333.15 K. The calculated values obtained by the reaction kinetic modelwere in good agreement with the experimental data. Moreover, as a heterogeneous reaction catalyst,BLA-ILs-HPA can be recovered by simple treatment. After six times cycling, the decreasing in the catalyticactivity of BLA-ILs-HPA could not be observed significantly, suggesting their good reusability.
A Fast CU Size Decision Optimal Algorithm Based on Neighborhood Prediction for HEVC
Jianhua Wang,Haozhan Wang,Fujian Xu,Jun Liu,Lianglun Cheng 한국정보처리학회 2020 Journal of information processing systems Vol.16 No.4
High efficiency video coding (HEVC) employs quadtree coding tree unit (CTU) structure to improve its coding efficiency, but at the same time, it also requires a very high computational complexity due to its exhaustive search processes for an optimal coding unit (CU) partition. With the aim of solving the problem, a fast CU sizedecision optimal algorithm based on neighborhood prediction is presented for HEVC in this paper. The contribution of this paper lies in the fact that we successfully use the partition information of neighborhood CUs in different depth to quickly determine the optimal partition mode for the current CU by neighborhood prediction technology, which can save much computational complexity for HEVC with negligible RDrate(ratedistortion rate) performance loss. Specifically, in our scheme, we use the partition information of left, up, and leftup CUs to quickly predict the optimal partition mode for the current CU by neighborhood prediction technology, as a result, our proposed algorithm can effectively solve the problem above by reducing manyunnecessary prediction and partition operations for HEVC. The simulation results show that our proposed fast CU size decision algorithm based on neighborhood prediction in this paper can reduce about 19.0% coding time, and only increase 0.102% BDrate (Bjontegaard delta rate) compared with the standard reference softwareof HM16.1, thus improving the coding performance of HEVC.
Recognition of Critical Links for Gating Using Queue Detector Data
Dongfang Ma,Fengjie Fu,Sheng Jin,Fujian Wang,Hong Liu 대한토목학회 2016 KSCE JOURNAL OF CIVIL ENGINEERING Vol.20 No.7
This paper introduces the concept of rolling time occupancy, and presents a method for recognizing critical links for gating, where spillovers will occur or have done already. The key idea of this new method is that, when the queue length becomes sufficient for the end of the queue to approach the queue detector, the speed of vehicles arriving from upstream will be slower than the free flow speed, which implies that a series of rolling time occupancies will all be greater than a particular threshold. Given that the value of a single rolling time occupancy is strongly influenced by buses and other confounders during a minor time interval, the new criteria for critical link identification are divided into two parts: the occupancy threshold for possible congestion, and the number of rolling time occupancies for inevitable congestion. Next, this paper presents the relationship between queue length and rolling time occupancy, using traffic data procured using VISSIM simulations. On this basis, the queue length threshold at which a spillover can be judged to be going to occur or to have already occurred is determined. Finally, using the misjudgment ratio and the trigger postponement amount as evaluation indices, the method proposed in this paper is evaluated under ten different simulation conditions. The results show that the maximum and average misjudgment ratios are 32.32% and 10.11%, respectively; meanwhile, the average postponement amount is less than 50 seconds for all ten simulation conditions.