23 research outputs found
Expanding the activated sludge model no.1 to describe filamentous bulking : The filamentous model
No full textFunding Information: This work was financially supported by the Education, Audiovisual and Culture Executive Agency of the European Commission (Erasmus Mundus Specific Grant Agreement nr 2017-1957/001-001-EMJMD) and the Dutch Ministry of Foreign Affairs (DUPC2/SCARCE project). Lobna Amin gratefully acknowledges the support given by Dr. Naser Almanaseer and Eng. Mohammad Jadallah of Al Balqa Applied University and Eng. Yazan Ziadat of the Miyahuna company for the information related to the Fuhais WWTP. Funding Information: This work was financially supported by the Education, Audiovisual and Culture Executive Agency of the European Commission (Erasmus Mundus Specific Grant Agreement nr 2017-1957/001-001-EMJMD ) and the Dutch Ministry of Foreign Affairs (DUPC2/SCARCE project). Lobna Amin gratefully acknowledges the support given by Dr. Naser Almanaseer and Eng. Mohammad Jadallah of Al Balqa Applied University and Eng. Yazan Ziadat of the Miyahuna company for the information related to the Fuhais WWTP. Publisher Copyright: © 2022 The Author(s)Several wastewater treatment plants (WWTPs) worldwide have documented the occurrence of filamentous bulking in full-scale systems despite the efforts made for filamentous bulking control. The Activated Sludge Models (ASM) can neither describe nor predict filamentous bulking at WWTPs. This research aims to expand the ASM No. 1 to be able to describe filamentous bulking sludge and to model the effects of incorporating an aerobic selector on filamentous bulking. Four theories (hydrolysis of slowly biodegradable organics theory, kinetic selection theory, substrate diffusion limitation theory, and filamentous backbone theory) were combined to expand the ASM1. The results showed that this combination was successful to distinguish between the substrate uptake by filamentous organisms and by floc forming organisms. Moreover, the concentrations of filamentous and floc forming organisms inside the reactor were converted to a “filamentous score” that predicted the outcome of filamentous bulking. Filamentous bulking would occur if the filamentous score was higher than 3, in a range of 1–6. As a case study, the Fuhais WWTP in Jordan was modelled using the expanded-ASM1 “filamentous model” and the filamentous score of 4.2 was in accordance to the visually observed bulking. However, when an aerobic selector with 3 compartments would be added before the aeration tank, the filamentous score decreased to 1.5. The selector changed the hydraulic behaviour from a completely mixed mode to a plug flow mode, which created a substrate gradient in the model, making the floc forming organisms to outcompete the filamentous organisms. Additional experimental results are required to further calibrate and validate the filamentous model.Peer reviewe
User profile and Domain Modelling in E-Learning Systems
No full textInternational audienceIn order to improve personalized E-learning systems, we propose to model the user profile based on a profile ontology, and to create a rich learning area based on a domain model. In this paper, our proposition consists in formalizing this domain model with an appropriate ontology (OWL language). The major contribution of the ontology model is to offer a coherent course structure. The system is implemented by a large learning memory based on an Ontology Formal Model. Thus, it enables to assist learners to choose a most suitable method and to widen their scope of training possibilities. Also, it offers the possibility to accurate user monitoring and evaluation during the learning proces
Learners Experiences Reuse to Improve Personalized E-Learning
No full textInternational audienceThe aim of our research is to build a cooperative e-Learning system adapted to different learners’ profiles (knowledge levels, pedagogical preferences, goals, etc.). In order to improve e-Learning systems, we propose to capitalize and reuse learning experiences. The capitalization consists in modeling the learning situation of a given learner. The learning situation model includes the learner profile as well as the learning process features.The reuse consists in exploiting previous experiences in order to offer to the current learner the best suited experience to his needs. This experience should be already validated and evaluated by other learners having similar learning profiles. Our experiences reuse approach is based on the Case-Based Reasoning. The Case-Based Reasoning defines a reasoning approach based on the reuse concept
User profile and Domain Modelling in E-Learning Systems
No full textInternational audienceIn order to improve personalized E-learning systems, we propose to model the user profile based on a profile ontology, and to create a rich learning area based on a domain model. In this paper, our proposition consists in formalizing this domain model with an appropriate ontology (OWL language). The major contribution of the ontology model is to offer a coherent course structure. The system is implemented by a large learning memory based on an Ontology Formal Model. Thus, it enables to assist learners to choose a most suitable method and to widen their scope of training possibilities. Also, it offers the possibility to accurate user monitoring and evaluation during the learning proces
User profile and Domain Modelling in E-Learning Systems
No full textInternational audienceIn order to improve personalized E-learning systems, we propose to model the user profile based on a profile ontology, and to create a rich learning area based on a domain model. In this paper, our proposition consists in formalizing this domain model with an appropriate ontology (OWL language). The major contribution of the ontology model is to offer a coherent course structure. The system is implemented by a large learning memory based on an Ontology Formal Model. Thus, it enables to assist learners to choose a most suitable method and to widen their scope of training possibilities. Also, it offers the possibility to accurate user monitoring and evaluation during the learning proces
User profile and Domain Modelling in E-Learning Systems
No full textInternational audienceIn order to improve personalized E-learning systems, we propose to model the user profile based on a profile ontology, and to create a rich learning area based on a domain model. In this paper, our proposition consists in formalizing this domain model with an appropriate ontology (OWL language). The major contribution of the ontology model is to offer a coherent course structure. The system is implemented by a large learning memory based on an Ontology Formal Model. Thus, it enables to assist learners to choose a most suitable method and to widen their scope of training possibilities. Also, it offers the possibility to accurate user monitoring and evaluation during the learning proces
