Forecasting effluent and performance of wastewater treatment plant using different machine learning techniques

2021 ◽  
Vol 44 ◽  
pp. 102380
Author(s):  
Mustafa El-Rawy ◽  
Mahmoud Khaled Abd-Ellah ◽  
Heba Fathi ◽  
Ahmed Khaled Abdella Ahmed
Keyword(s):  
Machine Learning ◽  
Wastewater Treatment ◽  
Wastewater Treatment Plant ◽  
Treatment Plant ◽  
Machine Learning Techniques ◽  
Learning Techniques ◽  
And Performance

scholarly journals Malicious web domain identification using online credibility and performance data by considering the class imbalance issue

2019 ◽  
Vol 119 (3) ◽  
pp. 676-696 ◽  
Author(s):  
Zhongyi Hu ◽  
Raymond Chiong ◽  
Ilung Pranata ◽  
Yukun Bao ◽  
Yuqing Lin
Keyword(s):  
Machine Learning ◽  
Class Imbalance ◽  
Performance Data ◽  
Machine Learning Techniques ◽  
Data Sets ◽  
Real World Data ◽  
Content Type ◽  
Domain Identification ◽  
Learning Techniques ◽  
And Performance

Purpose Malicious web domain identification is of significant importance to the security protection of internet users. With online credibility and performance data, the purpose of this paper to investigate the use of machine learning techniques for malicious web domain identification by considering the class imbalance issue (i.e. there are more benign web domains than malicious ones). Design/methodology/approach The authors propose an integrated resampling approach to handle class imbalance by combining the synthetic minority oversampling technique (SMOTE) and particle swarm optimisation (PSO), a population-based meta-heuristic algorithm. The authors use the SMOTE for oversampling and PSO for undersampling. Findings By applying eight well-known machine learning classifiers, the proposed integrated resampling approach is comprehensively examined using several imbalanced web domain data sets with different imbalance ratios. Compared to five other well-known resampling approaches, experimental results confirm that the proposed approach is highly effective. Practical implications This study not only inspires the practical use of online credibility and performance data for identifying malicious web domains but also provides an effective resampling approach for handling the class imbalance issue in the area of malicious web domain identification. Originality/value Online credibility and performance data are applied to build malicious web domain identification models using machine learning techniques. An integrated resampling approach is proposed to address the class imbalance issue. The performance of the proposed approach is confirmed based on real-world data sets with different imbalance ratios.

The Design, Operation and Performance of the New Membrane Bioreactor (MBR) WWTP for the Becket-Chimney Corners YMCA Camps in Western Massachusetts

2009 ◽  
Vol 4 (3) ◽  
Author(s):  
Nancy Oram Vigneault ◽  
Carsten Owerdieck
Keyword(s):  
Wastewater Treatment ◽  
Wastewater Treatment Plant ◽  
Membrane Bioreactor ◽  
Treatment Plant ◽  
Biomass Concentration ◽  
Septic Systems ◽  
Separation Function ◽  
Conventional Activated Sludge ◽  
And Performance ◽  
Reclaim Water

The increasingly stringent requirements for effluent quality and the need to reclaim water are promoting the application of membrane bioreactor (MBR) systems for wastewater treatment. The membrane replaces the solids separation function carried out by the secondary clarifier and sand filter in a conventional activated sludge system. The MBR process effectively overcomes the problems associated with poor settling of sludge. In addition, the use of membranes permits the operation of the bioreactor at higher mixed liquor suspended solids (MLSS) concentrations of 8,000 to 12,000 milligrams per litre (mg/L) compared to a conventional system, which may operate between 2,000 to 4,000 mg/L. The elevated biomass concentration allows for improved removal of both soluble and particulate biodegradable material from the wastewater. The MBR design also reduces the area as well as the reactor volume required for treatment. Two-State YMCA operates Camp Chimney Corners and Camp Becket in Becket, Massachusetts. These two camps were under consent orders to address deficient septic systems and decided to construct a 40,000 gallons per day (151,400 litres/day) wastewater treatment plant and wastewater collection and conveyance system to address septic system problems. A MBR wastewater treatment plant was designed and constructed and began treating wastewater in May 2007. This paper presents the design, operation, and performance of the MBR WWTP.

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