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All Journal Civil Engineering Journal CORD
Sujatha, A.
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Library & Information Science

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Fuzzy Knowledge Based System for Suitability of Soils in Airfield Applications Sujatha, A.; Govindaraju, L.; Shivakumar, N.; Devaraj, V.
Civil Engineering Journal Vol 7, No 1 (2021): January
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/cej-2021-03091643

Abstract

Proper design of roads and airfield pavements requires an in-depth soil properties evaluation to determine suitability of soil. Soft computing is used to model soil classification system's dynamic behaviour and its properties. Soft computing is based on methods of machine learning, fuzzy logic and artificial neural networks, expert systems, genetic algorithms. Fuzzy system is a strong method for mimicking human thought and solves question of confusion. This paper proposes a new decision-making approach for soil suitability in airfield applications without a need to perform any manual works like use of tables or chart. A fuzzy knowledge - based approach is built to rate soil suitability in qualitative terms for airfield application. The proposed model describes a new technique by defining fuzzy descriptors using triangular functions considering the index properties of soils as input parameters and fuzzy rules are generated using fuzzy operators to classify soil and rate its suitability for airfield applications. The data obtained from the results of the laboratory test are validated with the results of the fuzzy knowledge-based system indicating the applicability of the Fuzzy model created. The approach developed in this work is more skilled to other prevailing optimization models. Due to its system’s flexibility, it can be suitably customized and applied to laboratory test data available, thus delivering a wide range for any geotechnical engineer. Doi: 10.28991/cej-2021-03091643 Full Text: PDF
Gradient Outbreak of Coconut Slug Caterpillar, Macroplectra nararia Moore in East Coast of India Rajan, P.; Josephrajkumar, A.; Sujatha, A.
International Coconut Community Journal Vol 27 No 1 (2011): CORD
Publisher : International Coconut Community

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (309.876 KB) | DOI: 10.37833/cord.v27i1.124

Abstract

Gradient outbreak of coconut slug caterpillar. Macroplectra nararia Moore (Limacodidae: Lepidoptera) in East Godavari district, Andhra Pradesh during April-May 2009 is closely interlinked with rise in ambient temperature and humidity along the water bodies. This favoured large scale explosion of pest population leading to widespread damage in coconut plantations ranging from 90-95% in severely affected gardens, indicating the sporadic nature of the pest. Exacerbation by grey leaf blight fungus, Pestalotiopsis palmarum accelerated the damage causing rampant scorching of coconut leaflets in pest affected gardens. In the field, some caterpillars were found infected by entomopathogens. Light trapping is suggested as an effective monitoring tool and a feasible mechanical control strategy of the pest.
Co-Authors Devaraj, V. Govindaraju, L. Josephrajkumar, A. Rajan, P. Shivakumar, N.