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Inventi Impact - Modeling & Simulation

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    Journal Scope:

    ‘Inventi Rapid/Impact: Modeling & Simulation’ is a quarterly journal providing global forum for researchers, scholars and engineers in the fields of modeling and simulation. It publishes high quality refereed research and review papers disseminating latest theoretical results and their practical applications.

  • DESIGN OF SENSITIVE MEMS FIXED BEAM CAPACITIVE SENSOR FOR GLUCOSE MEASUREMENT
    Tejas B Chiddarwar, Wani Patil    Download Full Text

    Devices used for glucose measurement are generally realized by the use of electrochemical detection methods. In this paper, MEMS (micro electro mechanical systems) capacitive glucose sensor measures glucose molecule’s concentration in the human blood sample through detection of capacitance generated in the fixed beam structure due to variation in the displacement of upper beam which is direct...

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  • SOFTWARE FRAMEWORKS FOR MODEL COMPOSITION
    Mikel D Petty, Jungyoon Kim, Salvador E Barbosa, Jai-Jeong Pyun    Download Full Text

    A software framework is an architecture or infrastructure intended to enable the integration and interoperation of software components. Specialized types of software frameworks are those specifically intended to support the composition ofmodels or other components within a simulation system. Such frameworks are intended to simplify the process of assembling a complex model or simulation system fro...

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  • MODELING OF UNSTEADY FLOW THROUGH THE CANALS BY SEMIEXACT METHOD
    Farshad Ehsani, Seyed Ghorban Hosseini, Hossein Soury    Download Full Text

    Thestudy of free-surface and pressurized water flows in channels has many interesting application, one of the most important being themodeling of the phenomena in the area of natural water systems (rivers, estuaries) aswell as in that of man-made systems (canals, pipes). For the development ofmajor river engineering projects, such as flood prevention and flood control, there is an essential need t...

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  • AN ASSESSMENT OF A PROPOSED HYBRID NEURAL NETWORK FOR DAILY FLOW PREDICTION IN ARID CLIMATE
    Milad Jajarmizadeh, Sobri Harun, Mohsen Salarpour    Download Full Text

    Rainfall-runoff simulation in hydrology using artificial intelligence presents the nonlinear relationships using neural networks. In this study, a hybrid network presented as a feedforward modular neural network (FF-MNN) has been developed to predict the daily rainfall-runoff of the Roodan watershed at the southern part of Iran. This FF-MNN has three layers—input, hidden, and output.The hidden l...

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  • UTILIZATION BOUND SCHEDULING ANALYSIS FOR NONPREEMPTIVE UNIPROCESSOR ARCHITECTURE USING UML-RT
    S Ewins Pon Pushpa, Manamalli Devasigamani    Download Full Text

    The key for adopting the utilization-based schedulability test is to derive the utilization bound. Given the computation times, this paper proposes two utilization bound algorithms to derive interrelease times for nonpreemptive periodic tasks, using a new priority scheme, “RateMonotonic Algorithm-Shortest Job First.”The obtained task set possesses the advantage of RateMonotonic Algorithm and S...

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  • A NEW APPROACH TO THE IDENTIFICATION OF DISTILLATION COLUMN BASED ON HAMMERSTEIN MODEL
    Ramesh Kanthasamy, Hisyam Anwaruddin, Suriya Kumar Sinnadurai    Download Full Text

    Developing a suitable nonlinear model is the most challenging problem in the application of nonlinear model based controllers to distillation column. Hammerstein model consists of a nonlinear static element described by wavenet based nonlinear function, followed by a linear dynamic element described by the Output Error(OE) model was used in this study to represent the nonlinear dynamics of the dis...

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