Informatics Publishing Limited

P. Deepa ¹, S. N. Geethalakshmi ²

Affiliations
1 Department of Computer Science, Avinashilingam University for Women, IN
2 Avinashilingam University for Women, IN

Abstract

Image analysis is one of the important approaches in fruit grading. Since manual grading is more popular, if it done manually, the process is slow, labor expensive and grading is done by visual inspection that could be error prone. So automatic fruit grading is needed. Preprocessing in fruit image is a crucial initial step before image analysis is performed. Many preprocessing methods are available in the literature. Datasets are limited by laboratory constraints so that the need is for guidelines on quality and robustness of fruit, to proceed experimentation mango image is taken. In this paper, the performance of four preprocessing methods is compared namely contrast adjustment, Removing noise, Histogram equalization, and Binarization. The performances of these methods are evaluated using Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE).

Keywords

Image Processing, Preprocessing, Image Enhancement, PSNR, MSE.

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E. Balraj ¹, P. Deepa ¹

Affiliations
1 Computer Science and Engineering, M. Kumarasamy College of Engineering, Karur, IN

Abstract

Ant Colony Optimization (ACO) algorithms have been successfully applied to discover a list of classification rules. In general, these algorithms follow a sequential covering strategy, where a single rule is discovered at each iteration of the algorithm in order to build a list of rules. The problem in this case is not coping with the problem of rule interaction, i.e., the result of a rule affects the rules that can be discovered subsequently since the search space is modified due to the removal of examples covered by previous rules. Here, a new sequential covering strategy cAnt-MinerPB for ACO classification algorithm is proposed to mitigate the problem of rule interaction, where the order of the rules is implicitly encoded as pheromone values and the search is guided by the quality of a candidate list of rules. cAnt-MinerPB algorithm, which is the extended version of the Ant-Miner algorithm that handles continuous attributes on-the-fly during the rule construction process. The experiments are conducted using 18 publicly available data sets and results shows that the predictive accuracy obtained by a new ACO classification algorithm implementing the cAnt- MinerPB, statistically significantly higher than the predictive accuracy of state-of-the-art rule induction classification algorithms.

Keywords

Datamining, Ant Colony Optimization, Classification, Rule Induction, Sequential Covering.

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R. Sivakumar ¹, P. Deepa ¹, D. Sankaran ¹

Affiliations
1 Department of Electronics and Instrumentation Engineering, St. Joseph’s College of Engineering, Chennai – 600119, Tamil Nadu, IN

Abstract

Background/Objectives: The objective of this paper is to design a decentralised PID controller for MIMO process model using Bacterial Foraging Optimization (BFO) algorithm using three different cost functions. Methods/Statistical analysis: In this work, each decentralised PID controller is separately designed for the top product loop and bottom product loop. The proposed method is tested on Wood and Berry (WB) model and Wardle and Wood (WW) model. A comparative study is presented on the considered cost function using the quality measure values, such as ITSE, ITAE, number of iteration and CPU time taken for the simulation. Findings: The result confirms that, all the cost function based approaches offers similar result. Application/Improvements: In future, this method can be tested using some most successful heuristic algorithms existing in the literature.

Keywords

Bacterial Foraging Optimization, Distillation Column, ITSE, ITAE, Multi-Input-Multi-Output System, PID Control

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P. Deepa ¹, Upendra Saharkar ¹

Affiliations
1 Department of Civil Engineering, Dr .D. Y. Patil Institute of Technology, Ambi, Pune, Maharashtra, IN

Abstract

This paper focuses on studying a capability model for an individual firm in relation to e business in construction industries within Maharashtra region. The paper describes a framework for theorization of adoption of e-business overcoming different barriers faced by them. Capability model though it comes from the field of software development, it is also used as a general model to aid in business processes. The adoption of e-business is considerably less in small and medium enterprises due to barriers like lack of knowledge, lack of trust, lack of fund which requires attention. This research study confirms this lacking and focuses on providing solution through capability frame work.

Keywords

E-Business, Capability Model, SMEs, Framework, Construction Industries.

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Jiby Elias ¹, M. G. Rajesh ¹, N. P. Anish ¹, P. Deepa ², N. Jayan ¹

Affiliations
1 Department of Biotechnology, Navajyothi Sree Karunakara Guru Research Centre for Ayurveda and Siddha, Uzhavoor, Kottayam-686634, Kerala, IN
2 Union Christian College, Alwaye, Ernakulam-683102, Kerala, IN

Abstract

The present investigation evaluates the in vitro antioxidant potential of the methanolic extract of Simaruba glauca (MESG). The reducing power of the extract increased with the increasing concentration which indicated that the plant has inherent antioxidant potential. MESG at 250 μg/ml showed maximum scavenging activity of DPPH (83.87%) followed by hydroxyl (80.19%), superoxide (76.25%) and nitric oxide (70.43%) radicals. The half inhibition concentration (IC₅₀) of DPPH, hydroxyl, superoxide, and nitric oxide radicals were 21 μg/ml, 26 μg/ml, 27 μg/ml and 32 μg/ml respectively against the corresponding reference standards. Phytochemical screening of MESG revealed the presence of alkaloids, flavanoids, sterol/terpenoids, quinines, anthroquinones, glycoside, reducing sugar, carbohydrate, volatile oil and phenolic compounds. However, coumarins, saponins, tannins and resins were absent in the extract. The total phenolic content of MESG was 24.6 mg/g. The findings suggest that MESG possesses potent antioxidant activity and has great importance in nutraceuticals and pharmaceutical preparations.

Keywords

Simaruba glauca, DPPH, Reducing Power, Phenol.

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