network modeling Articles

  • Business and network models for innovation: strategic logic and the role of network position

    Firms increasingly organise their innovation activities in networked environments, including specific models such as supplier-network innovation, coopetition, or open innovation with a large set of stakeholders. These types of business and network models for innovation are often discussed from one of two main approaches – the strategic or the structural. The strategic approach examines the focus ...


    By Inderscience Publishers

  • Models for reducing the risk of critical networked infrastructures

    In this paper, we review the literature studying how to reduce the disruption risk to critical networked infrastructures. This is an important area of research because huge consequences result from infrastructure disruptions. As a result, this research area has grown a lot in the last decade. In this review we discuss articles from the literature, place them into categories, and suggest topics ...


    By Inderscience Publishers

  • A dynamic ventilation model for gravity sewer networks

    To implement any effective odour and corrosion control technology in the sewer network, it is imperative that the airflow through gravity sewer airspaces be quantified. This paper presents a full dynamic airflow model for gravity sewer systems. The model, which is developed using the finite element method, is a compressible air transport model. The model has been applied to the North Head ...


    By IWA Publishing

  • An operational model for vehicular pollution from a road network

    We present a brief review of the mathematical model CAR-FMI (contaminants in the Air from a Road, by the Finnish Meteorological Institute). The model has been developed for regulatory purposes, for predicting dispersion of pollution from a road network. It consists of an emission module, treatment of the meteorological time-series, an atmospheric dispersion module, and statistical analysis of the ...


    By Inderscience Publishers

  • Corporate helix model: the industry and triple helix networks

    A different type of university-industry-government relations took place in South Korea. In the triple helix model the entrepreneurial university becomes a key element of the innovation system. However, most universities in the world would not be autonomous in this network relationship. This paper proposes "The Corporate Helix Model", in which the university is established or acquired and ...


    By Inderscience Publishers

  • Global Servicing Network

    Inciner8 have recently completed the annual servicing of a number of machines located in rural areas of Pakistan. Our engineers were on-site for 7 days and carried out routine quality inspections and the replacement of consumables. The annual service usually comprises of replacing the fire ...


    By Inciner8 Limited

  • A prototype of a hierarchical global logistics network planning model

    In this article, we present a prototype Global Logistics (GL) networks planning model in which the GL facilities such as hubs and depots are hierarchically characterised. The proposed method is developed based on the fundamentals of hierarchical cluster analysis and integer programming techniques to determine the corresponding types, locations and numbers of service areas of facilities involved ...


    By Inderscience Publishers

  • A flood forecasting neural network model with genetic algorithm

    It will be useful to attain a quick and accurate flood forecasting, particularly in a flood-prone region. The accomplishment of this objective can have far reaching significance by extending the lead time for issuing disaster warnings and furnishing ample time for citizens in vulnerable areas to take appropriate action, such as evacuation. In this paper, a novel hybrid model based on recent ...


    By Inderscience Publishers

  • Coupling of neural network and dispersion models: a novel methodology for air pollution models

    Supervised neural net models and dispersion models are two important approaches for evaluating air pollution concentrations. The authors propose the development of an integrated model, in order to optimise the performances of each methodology. The concentrations evaluated by an air pollution model are coupled with a Neural Net (NN), so as to adjust the influence of important variables on ...


    By Inderscience Publishers

  • Dynamic control of infrastructural networks

    Infrastructural networks have a large impact on social, economic, and ecological values for people. The providers of infrastructural networks are confronted with a rapidly changing world on and around these networks. In this paper, a simple model of dynamic control is presented, which is a combination of a dynamic control model and a dynamic process model. The dynamic control model defines the ...


    By Inderscience Publishers

  • Requirements for transport network flow models used in reliability analysis

    The network reliability of transport systems has been intensively studied in the last two decades. When we discuss network reliability models, the following four categories of topics can be identified: routing and scheduling under uncertain conditions; flow models for degraded and congested networks; evaluation and measurement of reliability; network design and management. Of these, transport ...


    By Inderscience Publishers

  • Modelling urban air quality using artificial neural network

    This paper describes the development of artificial neural network-based vehicular exhaust emission models for predicting 8-h average carbon monoxide concentrations at two air quality control regions (AQCRs) in the city of Delhi, India, viz. a typical traffic intersection (AQCR1) and a typical arterial road (AQCR2). Maximum of ten meteorological and six traffic characteristic variables have been ...


    By Springer

  • Neural network and genetic programming for modelling coastal algal blooms

    In the recent past, machine learning (ML) techniques such as artificial neural networks (ANN) have been increasingly used to model algal bloom dynamics. In the present paper, along with ANN, we select genetic programming (GP) for modelling and prediction of algal blooms in Tolo Harbour, Hong Kong. The study of the weights of the trained ANN and also the GP-evolved equations shows that they ...


    By Inderscience Publishers

  • Knowledge-networking capability in German SMEs: a model for empirical investigation

    In the global knowledge based economy enterprises increasingly face the challenge of collaborative knowledge production in a networked context. Although the importance of the participation in such knowledge-networks is widely recognised, the capabilities for a successful participation have, so far, not been elaborated. Based on the dynamic capabilities view this paper proposes a holistic and ...


    By Inderscience Publishers

  • Neural network model for identification of societal preference of environmental issues

    A new method for identification of preferences of environmental issues using the societal approach is suggested. The preferences assigned by different economic groups to 11 environmental issues are obtained through analysis of linguistically stated relative rankings using fuzzy partial ordering method. The system identification technique based on neural networks is used to identify a logical ...


    By Inderscience Publishers

  • Online simplification of water distribution network models for optimal scheduling

    This paper presents an implementation of an extended simplification algorithm of water distribution network models for the purpose of inclusion in the online optimisation strategy for energy and leakage management in water distribution systems. Whereas the previously proposed reduced model represented accurately the original hydraulic water network characteristics, the energy distribution in the ...


    By IWA Publishing

  • Integrated Bayesian network framework for modeling complex ecological issues

    The management of environmental problems is multifaceted, requiring varied and sometimes conflicting objectives and perspectives to be considered. Bayesian network (BN) modeling facilitates the integration of information from diverse sources and is well suited to tackling the management challenges of complex environmental problems. However, combining several perspectives in one model can lead to ...


    By John Wiley & Sons, Ltd.

  • Analysis of the impact of intermittent distribution by modelling the network-filling process

    In many countries, users acquire private tanks to reduce their vulnerability to water scarcity. In such conditions, water managers often apply intermittent distribution in order to reduce the water volumes supplied to the users. This practice modifies the hydraulic behaviour of the network and determines competition among users that need to collect enough water resource for their uses. ...


    By IWA Publishing

  • Belief networks for engineering applications

    A relatively new form of artificial intelligence, namely belief networks, provides flexible modelling structures for capturing and evaluating uncertainty. The belief network consists of nodes to model the variables of the domain, and arcs to represent conditional dependence between variables. The development of a belief network requires four major steps: variable definition, identification of ...


    By Inderscience Publishers

  • A Bayesian network model for integrative river rehabilitation planning and management

    As rehabilitation of previously channelized rivers becomes more common worldwide, flexible integrative modeling tools are needed to help predict the morphological, hydraulic, economic, and ecological consequences of the rehabilitation activities. Such predictions can provide the basis for planning and long‐term management efforts that attempt to balance the diverse interests of river system ...


    By John Wiley & Sons, Ltd.

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