Mohamed Sadgal

A Service Oriented Information System: A Model Driven Approach

Generally the information system development is designing the systems with the use of visual design tools and takes the target modelling artefact as a basis to manually define the software application code. The process of mapping business requirements to the application code involves several parts that make the whole development process again very sensitive to errors. In this paper, we present a model-driven approach to overcome the gap between business requirements on one hand and service oriented architecture on the other. For this, we focus on the development of service oriented information system (SOIS) and a set of model transformation rules. Different ways of transforming a model into another exist. The choice of a target model differs according to quality criteria and is determined on the basis of specific requirements. The development process proposed is based on a BPMN meta-model, SOAML meta-model and a component meta-model. The approach leading elements are: the meta-modelling and automated mapping rules. Finally, we illustrate our proposal with a case study.

An Agent-Oriented Information System: A Model Driven Approach

To face the challenges of rapid enterprises environment change, enterprises need agile information systems that are flexible, reactive and adaptive. The process of mapping business requirements to the system functionalities involves several constraints that make the whole development process again very susceptible to errors. In this paper, we present a model-driven approach combined with software agent to develop an agile information system. In this work, we focus on the development of multi-agent systems (MAS) and a set of model transformation rules. Different ways of transforming a model into another exist. The choice of a target model differs according to quality criteria and is determined on the basis of specific requirements. The development process proposed is based separate aspects of systems, a BPMN metamodel, AML agent meta-model and a JADEX meta-model and the automated transformation rules with ATL language. The approach leading elements are: the meta-modeling, and mapping rules. Finally, we illustrate our proposals with a case study. General Terms Information system development, Model Driven Architecture, multiagent systems, business process modeling

Towards an agent based traffic regulation and recommendation system for the on-road air quality control

This paper presents an integrated and adaptive problem-solving approach to control the on-road air quality by modeling the road infrastructure, managing traffic based on pollution level and generating recommendations for road users. The aim is to reduce vehicle emissions in the most polluted road segments and optimizing the pollution levels. For this we propose the use of historical and real time pollution records and contextual data to calculate the air quality index on road networks and generate recommendations for reassigning traffic flow in order to improve the on-road air quality. The resulting air quality indexes are used in the system’s traffic network generation, which the cartography is represented by a weighted graph. The weights evolve according to the pollution indexes and path properties and the graph is therefore dynamic. Furthermore, the systems use the available pollution data and meteorological records in order to predict the on-road pollutant levels by using an artificial neural network based prediction model. The proposed approach combines the benefits of multi-agent systems, Big data technology, machine learning tools and the available data sources. For the shortest path searching in the road network, we use the Dijkstra algorithm over Hadoop MapReduce framework. The use Hadoop framework in the data retrieve and analysis process has significantly improved the performance of the proposed system. Also, the agent technology allowed proposing a suitable solution in terms of robustness and agility.

A Gamification and Objectivity Based Approach to Improve Users Motivation in Mobile Crowd Sensing

The advent of new communication and information technologies offers great potential for capturing and transmitting information related to mobility. The use of these technologies makes it possible to collect information and transmit it in a participative production (crowdsourcing) perspective for organizational government services such as suspect investigation. The objective of this work is to improve the process of identifying suspects by combining collective intelligence with mobile devices. To do this, this article proposes an approach for the development of a framework based on the gathering of information by the crowd (crowd sensing), their filtering and their analysis. This framework increases the user participation by integrating the gamification technique as a motivation approach. The reliability of the crowd sensed information, in turn, is provided by an objectivity analysis algorithm. The experimental results of the case study, carried out through AnyLogic simulations, show that the methods and technologies incorporated in the suspect identification procedures accelerated the search and location process by ensuring high system performance as well as by improving the quality of the sensed data.

Multi-agent frameworks in the service of the online product reputation extraction

Organizations have understand the importance of using social media, gathering social data, and fusing them into a CRM (Customer Relationship Management). As a result, it has driven companies to appreciate the customer needs and enhance the development procedure of their items or their administrations quality. A multi-agent framework is proposed in this work for extraction online product reputation. Mentioning social media means that we are brought to consider the colossal volumes of information (Big Data). To do in that capacity, an architecture based on Map/Reduce analysis using Hadoop was made with the goal to carry out the data refinement (clean the extracted social data by removing special words and delete the priceless reviews) and sentiment analysis (Sentigem). At last, a study case was made to check the feasibility of the proposed structure with Twitter (Twitter4J API) as a data source.

A web based crowdsourcing framework: Lost child case

The great rise of smartphones has allowed the emergence of many new concepts such as the supply by the crowd. The constant movement of the crowd accompanied all the time by their mobile devices leads to the creation of needs and applications that require the joint contribution of the human effort and the use of new technologies. These information systems primarily help achieve tasks involving the collection of historical and real-time location data. In this paper, we introduce a framework which can be used by government organizations in order to encourage the public to participate in a crowdsourcing initiative while capitalizing on advantages of interactive technologies. We also present the overall design and implementation of this framework in the context of the childs loss.

A multi-agent development approach based on the MDA for modelling information systems

To tackle the problem of Information Systems (IS) evolution, conceptual modeling must not only represent the organizational environments of the IS, but also take into account the strategic objectives to understand the requirements of their development. In this paper we propose a business process oriented approach. This approach is based on Meta modeling, model driven architecture, mMulti-agent architecture derived from the enterprise structure.