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Inventi Impact - Artificial Intelligence

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    Journal Scope:

    Quarterly published in print and online ‘Inventi Rapid/Impact: Artificial Intelligence’ publishes high quality unpublished as well as high impact pre-published research and reviews catering to the needs of researchers and professionals. It focuses on multidimensional aspects of artificial intelligence, particularly - artificial intelligence and philosophy, automated reasoning and inference, cognitive aspects of AI, commonsense reasoning, intelligent robotics, etc.

  • WAVENET MODEL FOR SHORT TERM LOAD FORECASTING
    D A Kapgate*, P S Raut    Download Full Text

    As the accuracy of the electricity load forecast is crucial in providing better cost-effective risk management plans, this paper proposes a Short-Term Electricity Load Forecast (STLF) model with a high forecasting accuracy. A cascaded forward BPN neuro-wavelet forecast model was adapted to perform the STLF. The model was composed of several neural networks whose data were processed using a wavelet...

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  • PARKS-HILBERT TRANSFORM BASED FAULT CLASSIFICATION OF INDUCTION MOTOR
    A D Tekade*, A U Jawadekar    Download Full Text

    The aim of this paper was to analyse the different faults occurring in three phase induction motor such as inter-turn short circuit and bearing faults. This paper proposes Parks-Hilbert transformation in combination to detect inter-turn short circuit as well as bearing faults. The net efficiency of this method for 3ø induction motor was more as compared to the previous methods. This method effe...

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  • REINFORCEMENT LEARNING IN AN ENVIRONMENT SYNTHETICALLY AUGMENTED WITH DIGITAL PHEROMONES
    Salvador E Barbosa, Mikel D Petty    Download Full Text

    Reinforcement learning requires information about states, actions, and outcomes as the basis for learning. For many applications, it can be difficult to construct a representative model of the environment, either due to lack of required information or because of that the model’s state space may become too large to allow a solution in a reasonable amount of time, using the experience of prio...

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  • ESTIMATION OF THE MANUFACTURING INDUSTRY SUB-SECTORS’ CAPACITY UTILIZATION RATES USING SUPPORT VECTOR MACHINES
    Halil Ibrahim Erdal, Alp Baray, Sakir Esnaf    Download Full Text

    Capacity utilization rate is one of the most important indicators of the efficiency of the manufacturing industry, and therefore of the return of the investments made. Estimation of these rates accurately renders it possible to make important economic decisions such as taking sectorial investment decisions, defining the optimal distribution of sectorial credits, determining noncompetitive sectors,...

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  • EYE-GLANCE INPUT INTERFACE FOR A SMALL SCREEN
    Dekun Gao, Naoaki Itakura    Download Full Text

    Optical measurement devices for eye movements are generally expensive and it is often necessary to restrict user head movements when various eye-gaze input interfaces are used. Previously, we proposed a novel eye-gesture input interface that utilized electrooculography amplified via an AC coupling that does not require a head mounted display. Instead, combinations of eyegaze displacement direction...

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  • GENERATING NOISY MONOTONE ORDINAL DATASETS
    Irena Milstein, Arie Ben-David, Rob Potharst    Download Full Text

    Ordinal decision problems are very common in real-life. As a result, ordinal classification models have drawn much attention in recent years. Many ordinal problem domains assume that the output is monotonously related to the input, and some ordinal data mining models ensure this property while classifying. However, no one has ever reported how accurate these models are in presence of varying level...

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