Informatics Publishing Limited

Satyendra Nath Mandal ¹, Arghya Ghosh ², Subhojit Roy ², J. Pal Choudhury ¹, S. R. Bhadra Chaudhuri ³

Affiliations
1 Dept. of I.T, Kalyani Govt. Engg College, Kalyani, Nadia(W.B), IN
2 Dept. of CSE, Kalyani Govt. Engg College, Kalyani, Nadia(W.B), IN
3 Dept. of ETC, BESU, Howrah ( W. B), IN

Abstract

The productivity of plant can be measured in terms of pod yields produce by that plant. The production of plant dependent on various parameters of the plant like shoot length, number of leaves, ischolar_main length , ischolar_main numbers etc. Some other factors like soil, crop and distance management are also taken care of to produce maximum amount of yield. It is not desirable to use the no of leaves of the tree to calculate the growth of the plant because when the plant is growing some leaves may be lost and some new leaves may appear. It is also very difficult to measure the number of ischolar_mains and length of growth of ischolar_main in several time instances as it grows underground. So, it is very convenient to measure the plant growth on the basis of shoot length. In this paper, an effort has been made to predict the shoot length of mustard plant by Tabu Search (TS). The average error has been calculated based on the actual shoot and predicted shoot length. A comparitive study has been made among the different methods applied on same data set and one method has been selected based on minimum average error. The shoot length at maturity has been predicted by applying least square method on predicted data set with minimum average error. Finally, pod yield at maturity has been predicted by shoot length at maturity.

Keywords

Tabu Search, Soft Computing, Prediction, Forecasting, Average Error, Pod Yield.

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Subhojit Roy ¹, Debasis Basu ¹

Affiliations
1 School of Infrastructure, Indian Institute of Technology, Bhubaneswar 752 050, IN

Abstract

This study presents a rational procedure to classify urban bus-stop catchments in view of selecting appropriate sidewalk facility on access roads to nearby bus stops. In the absence of such classification, ensuring sidewalk facility with stipulated engineering features and standards becomes critical. The study proposes a two-step procedure, where various types of road geometric features of access roads are used as variables. The study demonstrates the application of catchment classification information for preparing an implementation plan of sidewalk facility in line with the available design standards of guidelines and manuals for best practices.

Keywords

Access Road Geometry, Bus-Stop Catchment, Classification, Sidewalk Facility.

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