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Journal Cover International Journal of Convergence Computing
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   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 2048-9129 - ISSN (Online) 2048-9137
   Published by Inderscience Publishers Homepage  [434 journals]
  • Development of an adaptive non-parametric model for estimating maximum
           efficiency of disc membrane
    • Authors: Anirban Banik, Sushant Kumar Biswal, Mrinmoy Majumder, Tarun Kanti Bandyopadhyay
      Pages: 3 - 19
      Abstract: Membrane separation and filtration process are a technique of removing the impurities from the feed stream based on the pore size of the membrane bed. Permeate stream produced by the membrane are good quality due to this membrane found wide application in the field of water purification, gas-gas separation, etc. In the concerned study, the ability of the cellulose acetate disc membrane for improving the quality of the rubber industrial effluent of Tripura has been investigated in pilot scale. GMDH-multilayered feedback algorithm has been implemented to predict the maximum efficiency of the membrane. The efficiency of the membrane is maximised for the optimal value of pore size, inlet velocity, and operating pressure. It has been found that efficiency of the membrane is maximised when the pore size of the membrane is kept 2.060538 µm, inlet velocity is 0.201896 m/sec and operating pressure is 694.7201 kPa. The performance of the prepared GMDH model is evaluated by using model evaluation technique like NSE, PBIAS, slope and Y-intercept, RSR. It has been found that software predicted data can be used for trouble shooting and optimal design of the membrane bed.
      Keywords: membrane; GMDH; neural network; membrane separation technique; optimisation; convergence computing
      Citation: International Journal of Convergence Computing, Vol. 3, No. 1 (2018) pp. 3 - 19
      PubDate: 2018-04-10T23:20:50-05:00
      DOI: 10.1504/IJCONVC.2018.091111
      Issue No: Vol. 3, No. 1 (2018)
       
  • Designing and modelling of grid connected photovoltaic system (case study:
           EEU Building at Hawassa City)
    • Authors: Yishak Kifle, Baseem Khan, Jitendra Singh
      Pages: 20 - 34
      Abstract: Renewable energy sources are integral part of the present energy system because of the various problems, associated with conventional energy sources. Solar and wind are the major renewable energy sources. The renewable energy sources are sufficient enough to meet the world energy requirement. In this paper, a comprehensive analysis on energy output calculation of the photo-voltaic (PV) system is presented. The solar radiation effect is articulated based on monthly average sun shine hours. After local area solar potential is assessed, small plant is developed and designed for EEU building electric power supply, which is connected to the grid. Therefore, there is huge reduction in grid supply demand. The study uses different metrological data and simulates the grid connected PV technologies to end users, for decision making in PV energy investment. Performance ratio and specific energy is calculated as indicator for the plant feasibility in the area.
      Keywords: solar potential assessment; grid connected PV; performance ratio; specific energy
      Citation: International Journal of Convergence Computing, Vol. 3, No. 1 (2018) pp. 20 - 34
      PubDate: 2018-04-10T23:20:50-05:00
      DOI: 10.1504/IJCONVC.2018.091113
      Issue No: Vol. 3, No. 1 (2018)
       
  • Wheat yield forecasting using fuzzy logic
    • Authors: Bindu Garg, Tanya Sah, Shubham Aggarwal
      Pages: 35 - 47
      Abstract: Forecasting in general and crop yield forecasting, in particular, is considered a compound problem. Food and Agriculture Organisation's report Global Agriculture Towards 2050 accentuates the challenges which agriculture sector is going to face in the near future. The report draws the attention towards the disparity between the demand and supply. It also highlights the issues that automation has introduced into the food and agriculture sector. Where there is a need to increase the production to feed the rapidly increasing population there is an equal necessity for coping with the dwindling numbers of farming workers. As such there is a need for a reliable forecasting algorithm capable of handling time series data. In this paper, we have proposed a fuzzy time series forecasting algorithm to forecast wheat yield. The reason to choose fuzzy over other forecasting methods is its capability of dealing with the vague, imprecise data and it outperforms many statistical conventional models in such conditions. Neural network has been used for training and defuzzification of the forecasted values. To attests the efficacy and the performance of the proposed method, it has been tested against the wheat production dataset.
      Keywords: fuzzy logic; wheat yield forecasting; neural network; soft computing; fuzzy time series; linguistic values; fuzzy relationships; crop yield forecasting; AFER; forecasting; prediction
      Citation: International Journal of Convergence Computing, Vol. 3, No. 1 (2018) pp. 35 - 47
      PubDate: 2018-04-10T23:20:50-05:00
      DOI: 10.1504/IJCONVC.2018.091114
      Issue No: Vol. 3, No. 1 (2018)
       
  • A novel method for reduction of leakage current in MOSFET
    • Authors: Debasis Mukherjee, B.V. Ramana Reddy
      Pages: 48 - 61
      Abstract: In this paper, structural modification of conventional bulk MOSFET has been proposed for minimisation of subthreshold leakage current. Key structural features of bulk MOSFET have been kept unaltered. Comparison of conventional and proposed structure has been presented for a 20 nm NMOS with 0.8 volt Vdd. The proposed structure is capable of reducing subthreshold leakage current even at very low drain voltage when the gate voltage is zero. Around 55% reduction of OFF current has been obtained when drain voltage is at Vdd and gate voltage is zero. The methodology proposed does not have any special requirement at the circuit level, and can be combined with all circuit level methodologies. The proposed structure is named as 'defensive MOSFET' as it looks like a defensive shield. Structural dimensions of 20 nm MOSFET generation have been taken from the 2011 edition of International Technology Roadmap for Semiconductors or ITRS. All simulation processes have been executed by Sentaurus G-2012.06 Technology Computer Aided Design or TCAD software.
      Keywords: 20 nm; NMOS; leakage; subthreshold; device level; bulk; CMOS; VLSI; defensive MOSFET; ITRS; Sentaurus; TCAD
      Citation: International Journal of Convergence Computing, Vol. 3, No. 1 (2018) pp. 48 - 61
      PubDate: 2018-04-10T23:20:50-05:00
      DOI: 10.1504/IJCONVC.2018.091115
      Issue No: Vol. 3, No. 1 (2018)
       
  • Development of real time monitoring system for intake water of surface
           water treatment plant with the help of segmented polynomial neural network
           
    • Authors: Paulami De, Mrinmoy Majumder
      Pages: 62 - 71
      Abstract: The surface water treatment plant (WTP) has an important role in the quality of water supplied to the consumers. The quality of the intake water to a WTP plays an important role in plant operation. The nature of the inflow water decides the duration of treatment, dozing pattern, etc. The temporal variation of only one parameter like turbidity can induce major adaptation in plant operation and may also affect the production efficiency. In the present study, a novel artificial neural network based model was proposed to predict temporal patterns of Turbidity concentration at the intake point of a WTP which supplies to a peri-urban settlement where turbidity varies due to the urban runoff. According to performance metrics, the model could predict the temporal pattern with 99% accuracy and at a lag of one hour.
      Keywords: soft-computation; polynomial neural network; segment separation; water treatment plant; WTP
      Citation: International Journal of Convergence Computing, Vol. 3, No. 1 (2018) pp. 62 - 71
      PubDate: 2018-04-10T23:20:50-05:00
      DOI: 10.1504/IJCONVC.2018.091116
      Issue No: Vol. 3, No. 1 (2018)
       
 
 
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