Weiming Hu

ORCID: 0000-0002-1570-5666
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Arsenic contamination and mitigation
  • Membrane Separation Technologies
  • Environmental remediation with nanomaterials
  • Algal biology and biofuel production
  • Metal-Organic Frameworks: Synthesis and Applications
  • Advanced Vision and Imaging
  • Image and Object Detection Techniques
  • Oil and Gas Production Techniques
  • Membrane Separation and Gas Transport
  • Hydraulic and Pneumatic Systems
  • Robotics and Sensor-Based Localization
  • Nanomaterials for catalytic reactions
  • Mesoporous Materials and Catalysis
  • Iron oxide chemistry and applications
  • TiO2 Photocatalysis and Solar Cells
  • Catalysis for Biomass Conversion
  • Heavy Metal Exposure and Toxicity
  • Microbial Fuel Cells and Bioremediation

University of Missouri
2015-2018

Chinese Academy of Sciences
2003

Knowing that the world is facing a shortage of fresh water, desalination, in its different forms including reverse osmosis, represents practical approach to produce potable water from saline source. In this report, two kinds Metal-Organic Frameworks (MOFs) nanoparticles (NPs), UiO-66 (~100 nm) and MIL-125 nm), were embedded separately into thin-film composite membranes weight ratios, 0%, 0.05%, 0.1%, 0.15%, 0.2%, 0.3%. The synthesized by interfacial polymerization (IP) m-phenylenediamine...

10.3390/membranes7020031 article EN cc-by Membranes 2017-06-14

Abstract Fe 3 O 4 adsorbent with 2D structures was synthesized via solvothermal method and its application in arsenic removal investigated. Isotherms were generated at pH=4.7 7.6 the results best fitted by Freundlich isotherm model; good As(V) adsorption capacity achieved for both pH values. Furthermore, effects evaluated; optimal value 8.27 efficiency being 18.55 mg/g 93.69%, respectively. Based on measurements of zeta potential particle size adsorbent, we proposed that overall dependence a...

10.1111/j.1936-704x.2017.03245.x article EN Journal of Contemporary Water Research & Education 2017-04-01

Pose evaluation is a fundamental issue in image processing and computer vision. In this paper, we propose new method called BCE for pose based on Bayesian classification error. Various cues are incorporated to depict an object including shape, side region statistics temporal information. Then PEF (Pose Evaluation Function) constructed error, efficient algorithm calculate it developed. We test our with real outdoor sequences, use two criteria compare other representative ones. It shown that...

10.5244/c.17.42 article EN 2003-01-01

The progress of science and technology has provided strong support for water conservancy modernization. development modern put forward new standards requirements the intelligent management pumping stations. overhaul is no longer satisfied with traditional maintenance mode combination planned corrective maintenance. multi-sand station unit health evaluation system can effectively evaluate overall safety level system, timely find eliminate equipment hidden dangers. Maintenance provides...

10.12783/dtetr/amsms2019/31875 article EN DEStech Transactions on Engineering and Technology Research 2019-11-01
Coming Soon ...