American Journal of Software Engineering and Applications

Volume 6, Issue 3, June 2017

  • Comparative Study of Least Square Methods for Tuning Erceg Pathloss Model

    Nnadi Nathaniel Chimaobi, Charles Chukwuemeka Nnadi, Amaechi Justice Nzegwu

    Issue: Volume 6, Issue 3, June 2017
    Pages: 61-66
    Received: 8 January 2017
    Accepted: 18 January 2017
    Published: 12 June 2017
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    Abstract: In this paper, a study of two least square error approaches for optimizing Erceg pathloss model is presented. The first approach is implemented by the addition of the root mean square error (RMSE) if the sum of prediction errors is positive otherwise, the RMSE is subtracted from the pathloss predicted by the original Erceg model. In the second meth... Show More
  • Evaluation of Moving Average Model and Autoregressive Moving Average Model (ARMA) for Prediction of Industrial Electricity Consumption in Nigeria

    Idorenyin Markson, Mfonobong Charles Uko, Aneke Chikezie

    Issue: Volume 6, Issue 3, June 2017
    Pages: 67-73
    Received: 29 January 2017
    Accepted: 30 March 2017
    Published: 12 June 2017
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    Abstract: In this paper, evaluation of moving average model and autoregressive moving average model (ARMA) for prediction of industrial electricity consumption in Nigeria is presented. Industrial electricity consumption data obtained from Central Bank of Nigeria (CBN) Statistical Bulletin for the year 1979-2014 is used to determine the model parameters and p... Show More
  • Comparative Study of Radius of Curvature of Rounded Edge Hill Obstruction Based on Occultation Distance and ITU-R 526-13 Methods

    Mfonobong Charles Uko, Vital Kelechi Onwuzuruike, Eke Godwin Kelechi

    Issue: Volume 6, Issue 3, June 2017
    Pages: 74-79
    Received: 29 January 2017
    Accepted: 30 March 2017
    Published: 12 June 2017
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    Abstract: In this paper, comparative study of the ITU 526-13 method and the occultation distance-based method for computing the radius of curvature for rounded edged fitted to the vertex of hilltop obstruction is presented. In the study, path profiles of microwave links with isolated single edged hilltop and another path profile with isolated double edged hi... Show More
  • Determination of Yearly Fixed Optimal Tilt Angle for Flat-Plate Photovoltaic Modules Based on Perez Transposition Model

    Okon Dominic Ekanem, James O. Onojo

    Issue: Volume 6, Issue 3, June 2017
    Pages: 80-84
    Received: 3 January 2017
    Accepted: 10 January 2017
    Published: 12 June 2017
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    Abstract: In this paper, a method for the determination of the optimal tilt angle for yearly fixed flat-plate photovoltaic (PV) module at any given location is presented. The method is based on yearly global radiation incident on a horizontal plane as downloaded from NASA website. Futrthermore, PVSyst software that uses transposition model is used to generat... Show More
  • Determination of Optimal Tilt Angle for Biannual Seasonally Adjusted Flat-Plate Photovoltaic Modules Based on Perez Transposition Model

    Okon Dominic Ekanem, James O. Onojo

    Issue: Volume 6, Issue 3, June 2017
    Pages: 85-92
    Received: 3 January 2017
    Accepted: 10 January 2017
    Published: 12 June 2017
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    Abstract: Determination of optimal tilt angle for seasonally adjusted flat-plate photovoltaic (PV) modules based on Perez transposition model is presented. Particularly, two seasons are considered, namely winter and summer. As such, two optimal tilt angles are obtained which requires that the tilt angle the of flat plate PV module will be adjusted twice in a... Show More
  • Performance Evaluation of Hata-Davidson Pathloss Model Tuning Approaches for a Suburban Area

    Wali Samuel, Njumoke N. Odu, Samuel Godwin Ajumo

    Issue: Volume 6, Issue 3, June 2017
    Pages: 93-98
    Received: 3 January 2017
    Accepted: 18 January 2017
    Published: 23 June 2017
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    Abstract: In this paper, comparative study of RMSE-base tuning and multi-parameter-based tuning of Hata-Davidson pathloss model for a suburban area is presented. The study was based on field measurement of received signal strength carried out in a suburban area for a GSM (Global System for Mobile communication) network that operates in the 1800MHz frequency ... Show More
  • Modelling and Forecasting of Residential Electricity Consumption in Nigeria Using Multiple and Quadratic Regression Models

    Isaac Amazuilo Ezenugu, Swinton Chisom Nwokonko, Idorenyin Markson

    Issue: Volume 6, Issue 3, June 2017
    Pages: 99-104
    Received: 30 January 2017
    Accepted: 30 March 2017
    Published: 23 June 2017
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    Abstract: In this paper statistical analysis of the residential electricity demand in Nigeria is presented Particularly, multiple regression model with one period lagged and quadratic regression model without interactions were used to estimate residential electricity consumption and to forecast long- term residential demand for electricity based on annual da... Show More