Lecturer in the computer software i. Skilled in SQL, C++, Microsoft Office, Research, and Java. Head of Computer Systems Department at middle technical university .
2014 IEEE 10th International Conference on Intelligent Computer Communication and Processing (ICCP), 2014
This article presents the development of a decision support system (DSS) for water pollution in T... more This article presents the development of a decision support system (DSS) for water pollution in Tigris Basin. This DSS is designed to address and support multiple water pollution causes and multiple decision makers, in several places in Baghdad. The evaluation of the DSS discusses the effect of water quality index management on the water pollution. The system detects the pollution causes and type and suggests a decision for cleaning the water so that it can be used by human. The application uses a set of water-pollution parameters, specific to the pollution causes, in order to deal with the water pollution accidents and take emergency measures effectively. Tigris River is selected as the case study in this paper. The frame of the water pollution DSS is based on a mathematical model. The results support the primary decision in emergency cases and offer a suggestion to apply a suitable method for treatment the polluted water.
This work presents an approach to deal with modelling a decision support system framework to intr... more This work presents an approach to deal with modelling a decision support system framework to introduce an application for decisions in medical knowledge system analysis. First aid is extremely important worldwide and, hence, a decision support framework, know as First Aid Decision Support System (FADSS), was designed and implemented to access experimental cases exerting danger to the general population, offering advanced conditions for testing abilities in research and arranging an emergency treatment through the graphical user interface (UI). The design of first aid treatment in FADSS depends on the general cases in first aid. We presented a strategy to manage first aid treatment by modelling an application (FADSS) that assists people in finding information about first aid cases that are available as an application service. FADSS service uses a set of 15 important situations that might happen to people. The decision for treatment is suggested on the system for a different accident...
This paper presents a DSS for water management, and decision makers during water pollution accide... more This paper presents a DSS for water management, and decision makers during water pollution accidents, by means of analysis tools for estimating strategies to avoid water pollution effects resulting from waste industry, oil pollution and other causes. The DSS is based on Internet and Web technologies. The WATERDSS online data (web) services provide a computed water quality index or water pollution test per water application unit employing statistical models. WATERDSS tests the data of water management stations in real-time. The results of the test are presented in GIS maps (ArcGIS) with time series graphs, email reports and web sites. The system automatically sends warnings when water pollution levels are exceeded, using text messages as email reports. The WATERDSS is tested on a case study in the Tigris River in Baghdad city in Iraq. In this research work we develop the application to contain (Data base, Alerts messages, Treatment water advices, optimization algorithms of machine learning, decision tree based on the Evolutionary Computing principles and Water pollution causes). Also, we put the data on the map by using ArcGIS (Arc Map) to determine the location of the water stations.
This article presents the development of a decision support system (DSS) for water pollution in T... more This article presents the development of a decision support system (DSS) for water pollution in Tigris Basin. This DSS is designed to address and support multiple water pollution causes and multiple decision makers, in several places in Baghdad. The evaluation of the DSS discusses the effect of water quality index management on the water pollution. The system detects the pollution causes and type and suggests a decision for cleaning the water so that it can be used by human. The application uses a set of water-pollution parameters, specific to the pollution causes, in order to deal with the water pollution accidents and take emergency measures effectively. Tigris River is selected as the case study in this paper. The frame of the water pollution DSS is based on a mathematical model. The results support the primary decision in emergency cases and offer a suggestion to apply a suitable method for treatment the polluted water.
This paper presents a comparative study between a number of data mining, knowledge discovery tool... more This paper presents a comparative study between a number of data mining, knowledge discovery tools and software packages to be used in a Decision Support System (DSS) for water resources management. The case study deals with the evaluation of water quality of Tigris River within Baghdad city area. In the case of Tigris River alternative actions for sustainable improving of water quality are defined. The water quality method uses a set of thirteen water-quality parameters according to water quality index (WQI) analysis by used WEKA mining tool(decision tree). The results show that the river water isn't within the standard quality criteria of (WHO) standards and Iraqi standards.
This paper presents an establish a methodology to facilitate decision making process that ensures... more This paper presents an establish a methodology to facilitate decision making process that ensures reliable and optimum decision for water , water quality network and water pollution to be used in web-based Decision Support System (DSS) for water management by using ontology methods to provide a visualization of problem domain before implementation it by the programmer. The goal of the paper is to help readers understand how UML and OWL can be used to model ontologies in water management systems. Service modeling and ontology web language are very important for the conceptualization and for the design. We present an application of the Unified Modeling Language (UML) and ontology web language (OWL) for services to the management of water and fundamental components of the model-base of water management system. Ontology is a method for describing data and representing knowledge, in order to assist in problem identifying, decisions making, and knowledge management. Decision makers will be able to make better use of highly knowledgeable systems containing automated services to ensure that sustainability considerations are included. We present an environment for building simulations based on the water ontology management system, which includes Web-based visual design tools used for constructing models. This research presents an ontology building methodology and Semantic Web platforms namely Protégé for semantic ontology development in water management. Finally, Protégé is employed to create the Web Ontology Language (OWL) and Resource Description Framework (RDF) representations of the domain ontology respectively to enable its computer processing.
2014 IEEE 10th International Conference on Intelligent Computer Communication and Processing (ICCP), 2014
This article presents the development of a decision support system (DSS) for water pollution in T... more This article presents the development of a decision support system (DSS) for water pollution in Tigris Basin. This DSS is designed to address and support multiple water pollution causes and multiple decision makers, in several places in Baghdad. The evaluation of the DSS discusses the effect of water quality index management on the water pollution. The system detects the pollution causes and type and suggests a decision for cleaning the water so that it can be used by human. The application uses a set of water-pollution parameters, specific to the pollution causes, in order to deal with the water pollution accidents and take emergency measures effectively. Tigris River is selected as the case study in this paper. The frame of the water pollution DSS is based on a mathematical model. The results support the primary decision in emergency cases and offer a suggestion to apply a suitable method for treatment the polluted water.
This work presents an approach to deal with modelling a decision support system framework to intr... more This work presents an approach to deal with modelling a decision support system framework to introduce an application for decisions in medical knowledge system analysis. First aid is extremely important worldwide and, hence, a decision support framework, know as First Aid Decision Support System (FADSS), was designed and implemented to access experimental cases exerting danger to the general population, offering advanced conditions for testing abilities in research and arranging an emergency treatment through the graphical user interface (UI). The design of first aid treatment in FADSS depends on the general cases in first aid. We presented a strategy to manage first aid treatment by modelling an application (FADSS) that assists people in finding information about first aid cases that are available as an application service. FADSS service uses a set of 15 important situations that might happen to people. The decision for treatment is suggested on the system for a different accident...
This paper presents a DSS for water management, and decision makers during water pollution accide... more This paper presents a DSS for water management, and decision makers during water pollution accidents, by means of analysis tools for estimating strategies to avoid water pollution effects resulting from waste industry, oil pollution and other causes. The DSS is based on Internet and Web technologies. The WATERDSS online data (web) services provide a computed water quality index or water pollution test per water application unit employing statistical models. WATERDSS tests the data of water management stations in real-time. The results of the test are presented in GIS maps (ArcGIS) with time series graphs, email reports and web sites. The system automatically sends warnings when water pollution levels are exceeded, using text messages as email reports. The WATERDSS is tested on a case study in the Tigris River in Baghdad city in Iraq. In this research work we develop the application to contain (Data base, Alerts messages, Treatment water advices, optimization algorithms of machine learning, decision tree based on the Evolutionary Computing principles and Water pollution causes). Also, we put the data on the map by using ArcGIS (Arc Map) to determine the location of the water stations.
This article presents the development of a decision support system (DSS) for water pollution in T... more This article presents the development of a decision support system (DSS) for water pollution in Tigris Basin. This DSS is designed to address and support multiple water pollution causes and multiple decision makers, in several places in Baghdad. The evaluation of the DSS discusses the effect of water quality index management on the water pollution. The system detects the pollution causes and type and suggests a decision for cleaning the water so that it can be used by human. The application uses a set of water-pollution parameters, specific to the pollution causes, in order to deal with the water pollution accidents and take emergency measures effectively. Tigris River is selected as the case study in this paper. The frame of the water pollution DSS is based on a mathematical model. The results support the primary decision in emergency cases and offer a suggestion to apply a suitable method for treatment the polluted water.
This paper presents a comparative study between a number of data mining, knowledge discovery tool... more This paper presents a comparative study between a number of data mining, knowledge discovery tools and software packages to be used in a Decision Support System (DSS) for water resources management. The case study deals with the evaluation of water quality of Tigris River within Baghdad city area. In the case of Tigris River alternative actions for sustainable improving of water quality are defined. The water quality method uses a set of thirteen water-quality parameters according to water quality index (WQI) analysis by used WEKA mining tool(decision tree). The results show that the river water isn't within the standard quality criteria of (WHO) standards and Iraqi standards.
This paper presents an establish a methodology to facilitate decision making process that ensures... more This paper presents an establish a methodology to facilitate decision making process that ensures reliable and optimum decision for water , water quality network and water pollution to be used in web-based Decision Support System (DSS) for water management by using ontology methods to provide a visualization of problem domain before implementation it by the programmer. The goal of the paper is to help readers understand how UML and OWL can be used to model ontologies in water management systems. Service modeling and ontology web language are very important for the conceptualization and for the design. We present an application of the Unified Modeling Language (UML) and ontology web language (OWL) for services to the management of water and fundamental components of the model-base of water management system. Ontology is a method for describing data and representing knowledge, in order to assist in problem identifying, decisions making, and knowledge management. Decision makers will be able to make better use of highly knowledgeable systems containing automated services to ensure that sustainability considerations are included. We present an environment for building simulations based on the water ontology management system, which includes Web-based visual design tools used for constructing models. This research presents an ontology building methodology and Semantic Web platforms namely Protégé for semantic ontology development in water management. Finally, Protégé is employed to create the Web Ontology Language (OWL) and Resource Description Framework (RDF) representations of the domain ontology respectively to enable its computer processing.
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