Instructors/Speakers Prof. Bingcai PAN Deputy Dean and Professor School of Environment Nanjing University Nanjing China Abstract Nanomaterials exhibit promising performance in water decontamination via adsorption, catalytic degradation, and other processes. However, the ultrafine particle size also brings issues including excessive pressure drop in flow-through systems and environmental risk arising from nanoparticle release. To overcome the bottleneck of most nanomaterials in full-scale manipulation, a series of millimetre-sized nanocomposites have been developed via in situ formation of nanoparticles (e.g. metal oxides/hydroxides/phosphates) confined in the pore channels of ion exchanger hosts. Such nanocomposites are suitable for application in fixed-bed reactors owing to their tunable size (0.6-1.0 mm) and excellent hydrodynamic properties. The confinement effect induced by the network pore structure of the cross-linked ...
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Instructors/Speakers Dr. Yanyang ZHANG Assistant Researcher School of the Environment Nanjing University Nanjing China Abstract In recent years, polymer supported nano-sized metal oxides (Fe or Zr based) has attracted great attention for their sound performance in advanced phosphorus removal and recovery. In our study, a new nanocomposite adsorbent La-201 of extremely high capacity and specific affinity towards phosphate was developed, where hydrated La(III) oxides (HLO) nanoclusters were immobilized inside the networking pores of the polystyrene anion exchanger D-201. Column adsorption runs by using La-201 could effectively treat ~6500 bed volumes (BV) of a synthetic feeding solution before breakthrough occurred (from 2.5 mg P/L in influent to <0.5 mg P/L in effluent), approximately 11 times magnitude higher than HFO-201. The exhausted ... |
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Instructors/Speakers Prof. Yungcheol BYUN Jeju National University Jeju, Korea Abstract Dr. Yungcheol Byun is a full professor at the Computer Engineering Department (CE) at Jeju National University (http://www.jejunu.ac.kr). His research interests include the areas of Pattern Recognition & Image Processing, Artificial Intelligence & Machine Learning, Pattern-based Security, Home Network and Ubiquitous Computing, u-Healthcare, and RFID & IoT Middleware System. He directs the Machine Laboratory at the CE department. Recently, he studied at University of Florida as a visiting professor from 2012 to 2014. He is currently serving as a director of Information Science Technology Institute, and other academic societies. Outside of his research activities, Dr. Byun has been hosting international conferences including CNSI (Computer, Network, Systems, and Industrial Engineering), ICESI ... |
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Instructors/Speakers Prof. Xingqiu ZHAOAssociate ProfessorDepartment of Applied MathematicsThe Hong Kong Polytechnic UniversityHong Kong Abstract In this paper, we develop a penalized nonparametric likelihood method to estimate an unknown cumulative hazard function with current status data. Deriving the limiting distribution of such nonparametric estimator is a very challenging theoretical problem. For the problem, we construct the Sobolev space equipped with a special inner product and deduce a functional Bahadur representation in the space. Using this key tool, we establish the pointwise asymptotic normality of the proposed estimator. Furthermore, we study the penalized likelihood ratio tests for local and global ypotheses and obtain their limiting distributions, and also show the optimality of the test. A simulation study is presented for comparing the ... |
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