The current paper is entirely devoted to show the applicability of Particle Swarm Optimization (PSO) algorithm as a parameter identification method for a representative model of an Activated Sludge Wastewater Treatment Process (ASWWTP) with alternating phases. The model of identification is composed of two linear submodels: one for the aerobic phase and the other for the anoxic phase. In order to prove the efficiency of the proposed method, its performance is compared with another classical method called Simplex Search Algorithm (SSA) as well as with the experimental data.
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from #Medicine-SfakianakisAlexandros via o.lakala70 on Inoreader https://ift.tt/2Gchesc via IFTTT
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Abstract Determining the cause of unexplained death in all age groups, including infants, is a priority in forensic medicine. The triple r...
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This paper presents an adaptive multiuser transceiver scheme for DS-CDMA systems in which pilot symbols are added to users’ data to estimate...
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Abstract In this paper we present the study of a skull belonging to a young male from the Italian Bronze Age showing three perimortem inju...
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Abstract To measure integral doses in image-guided radiation therapy, we developed an integral condenser dosimeter comprising a disposable...
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Objectives. To assess the association between short-term postoperative cognitive dysfuction (POCD) and inflammtory response in patients unde...
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Abstract Layer-by-layer (LbL) dip coating, accompanying with the use of micelle structure, allows hydrophobic molecules to be coated on me...
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