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    Eco-friendly porous carbon materials for wastewater treatment
    (Springer, Singapore, 2019-08-07) Thambiliyagodage, C. J; Cooray, V. Y; Perera, I. N; Wijesekera, R. D
    Different porous carbon materials were applied to remove organic compounds and heavy metals from wastewater. Hierarchically, porous nitrogen rich monolithic carbon (HPC) was synthesized through the sol-gel synthesis method and carbonization process. Rice husk (RH), an agricultural waste material followed by carbonization at two different temperatures (RH400 and RH600) was used as the naturally generated porous carbon composite. Activated carbon (AC) was used as the control. According to the FT-IR spectra, different functional groups are present in all adsorbents. Scanning electron microscopic (SEM) images show an irregular shaped, random disordered macropore structure in RH and a robust sponge-like disordered macropore structure with ligaments in HPC. Transmission electron microscopic (TEM) images of these materials show a disordered mesopore network. Adsorption capacities of these porous carbon materials were determined for organic dyes and metal ions. Methylene blue and Methyl orange were used as the model organic compounds and Pb2+, Cu2+, Ni2+, and Cd2+ ions were selected as the metal ions. The experimental data demonstrate that the adsorption capacity of AC for Methyl orange (5.88 mg/g) is much higher than that of the alternatives (RH400–1.97 mg/g, RH600–0.69 mg/g, and HPC – 1.14 mg/g). Adsorption capacity of all the adsorbents for Methylene blue is quite similar. Adsorption capacity of RH400 for Pb2+ is much higher than that of RH600, AC and HPC. RH400 has a greater adsorption for Cu2+ and Ni2+ than the other adsorbents. All adsorbents show a low adsorption capacity for Cd2+. RH400 is a promising adsorbent for wastewater purification.
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    “iParking” – Smart way to Automate the Management of the Parking System for a Smart City
    (2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT, 2020-12-10) Jayakody, J.A.D.C. A.; Karunanayake, S.A.H.M.; Ekanayake, E.M.C.S.; Dikkubura, H.K.T.M.; Bandara, L.A.I.M.
    An efficient and effective smart outdoor parking system is a crucial need with the rapid development of the economy and the improvement of smart city modernization level, traffic and parking have become serious problems due to the explosive growth of the capital number of vehicles. This research will propose proper management for outdoor parking issues with an efficient solution for parking slots availability and occupancy detection using a classification approach and providing real time environment positioning accurate enhancement approach for global positioning system using map matching algorithm to classify vehicle direction on the road with the high precision location. The image processing technology is used to identify a vehicle's license plate and activate access control systems for automatic gate access to authorized members. The proposed system can provide information on promotions for a target audience on a screen where all consumers can view while using the parking facility with the use of machine learning algorithms, this will help to enhance the market value of the proposed system.