The Experts below are selected from a list of 285756 Experts worldwide ranked by ideXlab platform

Martin Jekel - One of the best experts on this subject based on the ideXlab platform.

  • uv254 absorbance as real time monitoring and Control Parameter for micropollutant removal in advanced wastewater treatment with powdered activated carbon
    Water Research, 2016
    Co-Authors: Johannes Altmann, Lukas Massa, Alexander Sperlich, Regina Gnirss, Martin Jekel
    Abstract:

    This study investigates the applicability of UV absorbance measurements at 254 nm (UVA254) to serve as a simple and reliable surrogate Parameter to monitor and Control the removal of organic micropollutants (OMPs) in advanced wastewater treatment applying powdered activated carbon (PAC). Correlations between OMP removal and corresponding UVA254 reduction were determined in lab-scale adsorption batch tests and successfully applied to a pilot-scale PAC treatment stage to predict OMP removals in aggregate samples with good accuracy. Real-time UVA254 measurements were utilized to evaluate adapted PAC dosing strategies and proved to be effective for online monitoring of OMP removal. Furthermore, active PAC dosing Control according to differential UVA254 measurements was implemented and tested. While precise removal predictions based on real-time measurements were not accurate for all OMPs, UVA254-Controlled dynamic PAC dosing was capable of achieving stable OMP removals. UVA254 can serve as an effective surrogate Parameter for OMP removal in technical PAC applications. Even though the applicability as Control Parameter to adjust PAC dosing to water quality changes might be limited to applications with fast response between PAC adjustment and adsorptive removal (e.g. direct filtration), UVA254 measurements can also be used to monitor the adsorption efficiency in more complex PAC applications.

  • uv254 absorbance as real time monitoring and Control Parameter for micropollutant removal in advanced wastewater treatment with powdered activated carbon
    Water Research, 2016
    Co-Authors: Johannes Altmann, Lukas Massa, Alexander Sperlich, Regina Gnirss, Martin Jekel
    Abstract:

    This study investigates the applicability of UV absorbance measurements at 254 nm (UVA254) to serve as a simple and reliable surrogate Parameter to monitor and Control the removal of organic micropollutants (OMPs) in advanced wastewater treatment applying powdered activated carbon (PAC). Correlations between OMP removal and corresponding UVA254 reduction were determined in lab-scale adsorption batch tests and successfully applied to a pilot-scale PAC treatment stage to predict OMP removals in aggregate samples with good accuracy. Real-time UVA254 measurements were utilized to evaluate adapted PAC dosing strategies and proved to be effective for online monitoring of OMP removal. Furthermore, active PAC dosing Control according to differential UVA254 measurements was implemented and tested. While precise removal predictions based on real-time measurements were not accurate for all OMPs, UVA254-Controlled dynamic PAC dosing was capable of achieving stable OMP removals. UVA254 can serve as an effective surrogate Parameter for OMP removal in technical PAC applications. Even though the applicability as Control Parameter to adjust PAC dosing to water quality changes might be limited to applications with fast response between PAC adjustment and adsorptive removal (e.g. direct filtration), UVA254 measurements can also be used to monitor the adsorption efficiency in more complex PAC applications.

Mariusf Danca - One of the best experts on this subject based on the ideXlab platform.

  • approximating hidden chaotic attractors via Parameter switching
    arXiv: Chaotic Dynamics, 2018
    Co-Authors: Mariusf Danca, Nikolay Kuznetsovc, Guanrong Chen
    Abstract:

    In this paper, the problem of approximating hidden chaotic attractors of a general class of nonlinear systems is investigated. The Parameter Switching (PS) algorithm is utilized, which switches the Control Parameter within a given set of values with the initial value problem numerically solved. The PS-generated generated attractor approximates the attractor obtained by averaging the Control Parameter with the switched values, which represents the hidden chaotic attractor. The hidden chaotic attractors of a generalized Lorenz system and the Rabinovich-Fabrikant system are simulated for illustration

  • approximating hidden chaotic attractors via Parameter switching
    Chaos, 2018
    Co-Authors: Mariusf Danca, N V Kuznetsov, Guanrong Chen
    Abstract:

    In this paper, the problem of approximating hidden chaotic attractors of a general class of nonlinear systems is investigated. The Parameter switching (PS) algorithm is utilized, which switches the Control Parameter within a given set of values with the initial value problem numerically solved. The PS-generated attractor approximates the attractor obtained by averaging the Control Parameter with the switched values, which represents the hidden chaotic attractor. The hidden chaotic attractors of a generalized Lorenz system and the Rabinovich-Fabrikant system are simulated for illustration.

  • convergence of a Parameter switching algorithm for a class of nonlinear continuous systems and a generalization of parrondo s paradox
    Communications in Nonlinear Science and Numerical Simulation, 2013
    Co-Authors: Mariusf Danca
    Abstract:

    Abstract In this paper, we prove the convergence of a numerical algorithm that switches in some deterministic or random manner, the Control Parameter of a class of continuous-time nonlinear systems while the underlying initial value problem is numerically integrated. The numerically obtained attractor is a good approximation of the attractor obtained when the Control Parameter is replaced with the average of the switched values. In this way, a generalization of Parrondo’s paradox can be obtained. As an application, the Lorenz and Rabinovich–Fabrikant systems are used for illustration.

V Zumer - One of the best experts on this subject based on the ideXlab platform.

  • high dimensional real Parameter optimization using self adaptive differential evolution algorithm with population size reduction
    World Congress on Computational Intelligence, 2008
    Co-Authors: Janez Brest, Borko Boskovic, Ales Zamuda, Mirjam Sepesy Maucec, V Zumer
    Abstract:

    In this paper we investigate a self-adaptive differential evolution algorithm (jDEdynNP-F) where F and CR Control Parameters are self-adapted and a population size reduction method is used. Additionally the proposed jDEdynNP-F algorithm uses a mechanism for sign changing of F Control Parameter with some probability based on the fitness values of randomly chosen vectors, which are multiplied by the F Control Parameter (scaling factor) in the mutation operation of DE algorithm. The performance of the jDEdynNP-F algorithm is evaluated on the set of 7 benchmark functions provided for the CECpsila2008 special session on high-dimensional real-Parameter optimization.

  • self adapting Control Parameters in differential evolution a comparative study on numerical benchmark problems
    IEEE Transactions on Evolutionary Computation, 2006
    Co-Authors: Janez Brest, S Greiner, Borko Boskovic, Marjan Mernik, V Zumer
    Abstract:

    We describe an efficient technique for adapting Control Parameter settings associated with differential evolution (DE). The DE algorithm has been used in many practical cases and has demonstrated good convergence properties. It has only a few Control Parameters, which are kept fixed throughout the entire evolutionary process. However, it is not an easy task to properly set Control Parameters in DE. We present an algorithm-a new version of the DE algorithm-for obtaining self-adaptive Control Parameter settings that show good performance on numerical benchmark problems. The results show that our algorithm with self-adaptive Control Parameter settings is better than, or at least comparable to, the standard DE algorithm and evolutionary algorithms from literature when considering the quality of the solutions obtained

Johannes Altmann - One of the best experts on this subject based on the ideXlab platform.

  • uv254 absorbance as real time monitoring and Control Parameter for micropollutant removal in advanced wastewater treatment with powdered activated carbon
    Water Research, 2016
    Co-Authors: Johannes Altmann, Lukas Massa, Alexander Sperlich, Regina Gnirss, Martin Jekel
    Abstract:

    This study investigates the applicability of UV absorbance measurements at 254 nm (UVA254) to serve as a simple and reliable surrogate Parameter to monitor and Control the removal of organic micropollutants (OMPs) in advanced wastewater treatment applying powdered activated carbon (PAC). Correlations between OMP removal and corresponding UVA254 reduction were determined in lab-scale adsorption batch tests and successfully applied to a pilot-scale PAC treatment stage to predict OMP removals in aggregate samples with good accuracy. Real-time UVA254 measurements were utilized to evaluate adapted PAC dosing strategies and proved to be effective for online monitoring of OMP removal. Furthermore, active PAC dosing Control according to differential UVA254 measurements was implemented and tested. While precise removal predictions based on real-time measurements were not accurate for all OMPs, UVA254-Controlled dynamic PAC dosing was capable of achieving stable OMP removals. UVA254 can serve as an effective surrogate Parameter for OMP removal in technical PAC applications. Even though the applicability as Control Parameter to adjust PAC dosing to water quality changes might be limited to applications with fast response between PAC adjustment and adsorptive removal (e.g. direct filtration), UVA254 measurements can also be used to monitor the adsorption efficiency in more complex PAC applications.

  • uv254 absorbance as real time monitoring and Control Parameter for micropollutant removal in advanced wastewater treatment with powdered activated carbon
    Water Research, 2016
    Co-Authors: Johannes Altmann, Lukas Massa, Alexander Sperlich, Regina Gnirss, Martin Jekel
    Abstract:

    This study investigates the applicability of UV absorbance measurements at 254 nm (UVA254) to serve as a simple and reliable surrogate Parameter to monitor and Control the removal of organic micropollutants (OMPs) in advanced wastewater treatment applying powdered activated carbon (PAC). Correlations between OMP removal and corresponding UVA254 reduction were determined in lab-scale adsorption batch tests and successfully applied to a pilot-scale PAC treatment stage to predict OMP removals in aggregate samples with good accuracy. Real-time UVA254 measurements were utilized to evaluate adapted PAC dosing strategies and proved to be effective for online monitoring of OMP removal. Furthermore, active PAC dosing Control according to differential UVA254 measurements was implemented and tested. While precise removal predictions based on real-time measurements were not accurate for all OMPs, UVA254-Controlled dynamic PAC dosing was capable of achieving stable OMP removals. UVA254 can serve as an effective surrogate Parameter for OMP removal in technical PAC applications. Even though the applicability as Control Parameter to adjust PAC dosing to water quality changes might be limited to applications with fast response between PAC adjustment and adsorptive removal (e.g. direct filtration), UVA254 measurements can also be used to monitor the adsorption efficiency in more complex PAC applications.

Guanrong Chen - One of the best experts on this subject based on the ideXlab platform.

  • approximating hidden chaotic attractors via Parameter switching
    arXiv: Chaotic Dynamics, 2018
    Co-Authors: Mariusf Danca, Nikolay Kuznetsovc, Guanrong Chen
    Abstract:

    In this paper, the problem of approximating hidden chaotic attractors of a general class of nonlinear systems is investigated. The Parameter Switching (PS) algorithm is utilized, which switches the Control Parameter within a given set of values with the initial value problem numerically solved. The PS-generated generated attractor approximates the attractor obtained by averaging the Control Parameter with the switched values, which represents the hidden chaotic attractor. The hidden chaotic attractors of a generalized Lorenz system and the Rabinovich-Fabrikant system are simulated for illustration

  • approximating hidden chaotic attractors via Parameter switching
    Chaos, 2018
    Co-Authors: Mariusf Danca, N V Kuznetsov, Guanrong Chen
    Abstract:

    In this paper, the problem of approximating hidden chaotic attractors of a general class of nonlinear systems is investigated. The Parameter switching (PS) algorithm is utilized, which switches the Control Parameter within a given set of values with the initial value problem numerically solved. The PS-generated attractor approximates the attractor obtained by averaging the Control Parameter with the switched values, which represents the hidden chaotic attractor. The hidden chaotic attractors of a generalized Lorenz system and the Rabinovich-Fabrikant system are simulated for illustration.