Kambiz Madani

University of Westminster, Londinium, England, United Kingdom

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Publications (33)0 Total impact

  • Kambiz Madani · Mahboubeh Lohi · Abdolkhalil Lohi
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    ABSTRACT: The PERFORM project is funded under EC FP7 Program and aims to provide a platform for the remote health status monitoring, classification & modeling, and the personalisation treatment of patient suffering from Parkinson’s disease (PD) and Amyotrophic Lateral Sclerosis (ALS). The remote monitoring of neurodegenerative disease evolution is achieved via micro-sensors worn by the patients at home, forming a local network of specialised devices, which are in turn controlled by a Base Processing Unit (BPU) at patient’s home. The system uses advanced knowledge processing, fusion algorithms, & data mining techniques in order to provide Clinical Decision Support (CDS) for medics & specialist in neurodegenerative disease. This helps with the management & personalised control of the symptoms, for each individual patient, during the evolution of the disease.
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    A. Cufoglu · M. Lohi · K. Madani
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    ABSTRACT: In recent years the use of personalized service provisioning applications has been very popular. However, effective personalization cannot be achieved without accurate user profiles. In literature a number of classification algorithms have been used to classify user related information to create accurate user profiles. Nevertheless, there is lack of comparison of these algorithms with classification accuracy of the user profile information. In our previous work [1], we compared four different classification algorithms which are; Naive Bayesian (NB), Instance-Based Learner (IB1), Bayesian networks (BN) and Lazy Learning of Bayesian Rules (LBR) classifiers. According to our results NB and IB1 classifiers outperformed the BN and LBR classifiers with respect to classification accuracy. In this study we compare the performance of NB, IB1, Classification and Regression Tree (SimpleCART), Naive Bayesian Tree (NBTree), Iterative Dichotomister Tree (Id3), J48 -a version of C4.5- and Sequential Minimal Optimization (SMO) algorithms with large user profile data. This study is aimed to find the best classification algorithm for user profiling process. Our simulation results show that, in general, the NBTree has the highest classification accuracy performance with the lowest error rate. On the other hand, we also found that the NBTree has one of the highest time requirements to build the classification model. Therefore, NBTree classification algorithm should be favoured over SMO, NB, IB1, J48, SimpleCART and Id3 classifiers in the personalization applications especially when the classification accuracy performance is important.
    Computer Science and Information Engineering, 2009 WRI World Congress on; 05/2009
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    Ayse Cufoglu · Mahi Lohi · Kambiz Madani
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    ABSTRACT: In recent years the used of personalization in service provisioning applications has been very popular. However, effective personalization cannot be achieved without accurate user profiles. A number of classification algorithms have been used to classify user related information to create accurate user profiles. In this study four different classification algorithms which are; naive Bayesian (NB), Bayesian Networks (BN), lazy learning of Bayesian rules (LBR) and instance-based learner (IB1) are compared using a set of user profile data. According to our simulation results NB and IB1 classifiers have the highest classification accuracy with the lowest error rate.
    Machine Learning and Applications, 2008. ICMLA '08. Seventh International Conference on; 01/2009
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    A. Cufoglu · M. Lohi · K. Madani
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    ABSTRACT: In recent years the used of personalization in service provisioning applications has been very popular. However, effective personalization cannot be achieved without accurate user profiles. A number of classification algorithms have been used to classify user related information to create accurate user profiles. In this study four different classification algorithms which are; naive Bayesian (NB), Bayesian networks (BN), lazy learning of Bayesian rules (LBR) and instance-based learner (IB1) are compared using a set of user profile data. According to our simulation results NB and IB1 classifiers have the highest classification accuracy with the lowest error rate. The obtained simulation results have been evaluated against the existing works of support vector machines (SVMs), decision trees (DTs) and neural networks (NNs).
    Computer Engineering & Systems, 2008. ICCES 2008. International Conference on; 12/2008
  • P. Kataria · A. Macfie · R. Juric · K. Madani
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    ABSTRACT: We have designed and implemented a Context-aware ONTOlogical (C-ONTO) schema for pervasive computing environments in hospitals. The schema contains semantics for situation awareness, which has been drawn from sensor-derived information about patients, called local contexts; changes to these contexts, and users involved in, and actions taken as a result of, these context changes. We have modeled and implemented situation awareness in C-ONTO through the transitive relationship between its ontological classes.
    Journal of Integrated Design and Process Science 08/2008; 12(3):35-44.
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    B. Medina · M. Lohi · K. Madani
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    ABSTRACT: Mobile IPv6 and SIP are protocols designed to support different types of mobility. Mobile IPv6 has been used to support mobility in IP networks and SIP has been used for voice over IP applications. It is the signalling protocol of the IP multimedia subsystem (IMS). In this paper both protocols have been simulated and compared in order to observe their performance for voice over IP (VoIP) applications. In this paper the architectures proposed by researchers in order to combine mobile IPv6 and SIP have also been investigated and compared to analyse their advantages and disadvantages. A network scenario, running mobile IPv6 and SIP for IMS, has also been simulated in order to evaluate the performance offered by the two protocols and to compare them with the results from the simulation of the pure mobile IPv6 and SIP architectures. The comparison shows that the combined scenario offers better performance similar to the one obtained using only mobile IPv6 with route optimization. The scenario simulated was also compared with the integrated architectures for mobile IPv6 and SIP that were investigated.
    Telecommunications, 2008. ICT 2008. International Conference on; 07/2008
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    ABSTRACT: The Configurable radio with Advanced Software Technology (CAST) project is funded under the European Commission Fifth Framework IST programme. The Project started in April 2000 and it is to run for 33 months, with continuous contributions from its seven consortium members over this period. The CAST project investigates future software radio techniques, using JAVA-based intelligent processors for hardware configuration and new broadband RF front-end using sub-harmonic sampling methods for down-conversion. This paper describes the initial concepts and ideas, and summarises the results of the initial phase of the Project. The above objectives will be achieved with the aid of a demonstrator system, which is currently under development. The demonstrator will effectively illustrate the feasibility of the novel ideas used during the course of this project. This paper describes the initial concepts and summarises the results for the preliminary tasks carried out during the first quarter the project. The basic idea behind the CAST architecture is shown in Figure 1.
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    ABSTRACT: We have created and implemented an ontological model, which addresses the problem of data sharing and interoperability in a heterogeneous hospital computing environment. We have also used semantic web tools and reasoning mechanisms to achieve our aims and have demonstrated that it is feasible to share heterogeneous data across hospital environments and create an intelligent awareness for software applications built within them.
    Proceedings of the Fourth IASTED International Conference on Advances in Computer Science and Technology; 03/2008
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    ABSTRACT: We have developed and implemented an ontology for an intelligent hospital ward. Our aim is to address the pervasiveness of computing applications in healthcare environments, which require: sharing of data across the hospital, including data generated by sensors and embedded in such environments, and dealing with semantic heterogeneity that exists across the hospital's data repositories. Our conceptual ontological model that supports such an environment has been implemented using semantic web tools and tested through the application developed with the J2EE technology.
    41st Hawaii International International Conference on Systems Science (HICSS-41 2008), Proceedings, 7-10 January 2008, Waikoloa, Big Island, HI, USA; 01/2008
  • Pavandeep Kataria · Radmila Juric · Kambiz Madani
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    ABSTRACT: We propose a software architecture (SA) for data centric, interoperable and context aware applications in healthcare, based on ontologies. An instance of such SA has been implemented through a hospital intelligent ward ontology using web semantic tools. The final result is an ontological database, which act as a backbone for running heterogeneous software applications across hospital pervasive computing environments.
    Proceedings of the 11th IASTED International Conference on Software Engineering and Applications; 11/2007
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    K. Madani · M. Lohi · G. Terstyanszky
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    ABSTRACT: The ePerSpace project is developing and implementing a generic distributed networked system with wide ranging applications, accessible at home and globally anywhere else outside home. The project is creating an open, interoperable and trusted integration framework to create network enabled audiovisual systems and home platforms where home and personal devices can seamlessly work together providing personalised services, provisioning content adaptation, and managing service platforms. Using the personalisation information the system can recognise and form specific user communities towards which specific services can be directed. The paper presents the main concept and components of the system such as: the global service manager (GSeM) which handles service providers, users and the residential gateways (RGs), and local service manager (LSeM), which manages home and personal devices inside the home area network (HAN), and communication between GSeM and LSeM
    Network Operations and Management Symposium, 2006. NOMS 2006. 10th IEEE/IFIP; 05/2006
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    Kambiz Madani · Mahi Lohi
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    ABSTRACT: The ePerSpace project has created a distributed service management platform with wide ranging applications at home and globally anywhere else outside home. The project has created an open and trusted home platform where home devices can seamlessly work together providing personalised services, provisioning content adaptation, and managing a variety of services via a residential gateway. Using the personalisation information the system can recognise and form specific user communities towards which specific services such as health care can be directed. This paper presents the main concept and components of the ePerSpace Service Management and discusses its potential in health care applications.
    Studies in health technology and informatics 02/2006; 121:42-6.
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    ABSTRACT: The main objective of the ePerSpace project is to develop and implement networked audiovisual systems and applications accessible at home and anywhere. The project is creating an open, interoperable and trusted integration framework to create network enabled audiovisual systems and home platforms where home and personal devices can seamlessly work together exchanging personalisation data, performing content and service, and managing service platforms. The paper presents the Global Service Manager (GSeM), which handles service providers, users and residential gateways, and Local Service Manager (LSeM), which manages home and personal devices inside the Home Area Network (HAN), and communication between GSeM and LSeM. The paper also gives an overview of services run on the EPS platform.
    EURESCOM summit 2005, Heidelberg, Germany; 04/2005
  • Haider Mohammed · Mahi Lohi · Kambiz Madani
    Proceedings of the International Conference on Wireless Networks, ICWN '04, Volume 2 & Proceedings of the International Conference on Pervasive Computing and Communications, PCC'04, June 21-24, 2004, Las Vegas, Nevada, USA; 01/2004
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    ABSTRACT: The paper describes development of a generic architecture for the intelligent reconfiguration of the wireless mobile networks within the EC funded Framework V CAST Project. The CAST demonstrator, currently being developed and integrated, is intended to evaluate some of the fundamental concepts of the proposed architecture, within the technological constraints presently available. Here, we present a generic distributed architecture and discuss problems associated with the organic-based intelligent support, network management, resource optimisation and control, and object orientated reconfiguration of resources.
    IST Mobile & Wireless Telecommunications Summit 2002; 06/2002
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    ABSTRACT: The paper describes development of a generic architecture for the intelligent reconfiguration of the wireless mobile networks within the EC funded Framework V CAST Project. The CAST demonstrator, currently being developed and integrated, is intended to evaluate some of the fundamental concepts of the proposed architecture, within the technological constraints presently available. Here, we present a generic distributed architecture and discuss problems associated with the organic-based intelligent support, network management, resource optimisation and control, and object orientated reconfiguration of resources.
  • M. Lohi · K. Madani
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    ABSTRACT: In this paper, a novel method for improving the spectrum efficiency of multi-layer cellular systems, by means of prioritisation based on the user mobility behaviour and service application has been proposed. The proposed system is shown to have a higher efficiency over a wider range of offered traffic, in comparison to the conventional FIFO queuing. Computational results suggest that using this new scheme, system capacity for handover voice calls at 2% dropping rate can be improved by as much as 27% compared with FIFO. This benefit came at the expense of some increase in the dropping rate of low priority calls. The improvement in capacity also reduces with service priority.
    Mobility and Wireless Access Workshop, 2002. MobiWac 2002. International; 02/2002
  • M. Lohi · K. Madani · A. Lohi · A.H. Aghvami
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    ABSTRACT: A novel method for improving the spectrum efficiency of multi-layer cellular systems, by means of prioritisation based on the user mobility behaviour and service application has been proposed. The proposed system is shown to have a higher efficiency over a wider range of offered traffic, in comparison to the conventional FIFO queuing. Computational results suggest that using this new scheme, the system capacity for handover voice calls at 2% dropping rate can be improved by as much as 27% compared with FIFO. This benefit came at the expense of some increase in the dropping rate of the low priority calls. The improvement in capacity also reduces with service priority
    Personal, Indoor and Mobile Radio Communications, 2001 12th IEEE International Symposium on; 10/2001
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    ABSTRACT: This paper details the development of essential enabling technologies, for the proposed CAST Intelligent Reconfigurable Mobile Radio Network (IRMRN). This reconfigurable network architecture encompasses and adds to the main software radio concepts presented to date. This paper describes our research effort in developing the reconfigurable technology, and the corresponding enabling technology.
    IST mobile communications summit 2001 expanding the wireless universe : Sitges, Barcelona, Spain 9-12 September.; 09/2001
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    T. Karran · G. Justo · K. Madani
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    ABSTRACT: This paper presents a possible solution to the intelligent evolution of mobile systems using a complex organic distributed architecture (CODA), which supports intelligent reconfiguration of all system components. A key feature of this architecture is the deployment of multiple warehouses. The warehouses store data in a variety of ways depending on the type of intelligence, required. On line analytical processing (OLAP) software is used to monitor and control data in the system. An effective system of filters and wrappers ensures that data is secure. A system of feedback loops ensures that information travels through the system quickly and effectively
    Vehicular Technology Conference, 2001. VTC 2001 Spring. IEEE VTS 53rd; 02/2001