Informatics Publishing Limited

P. Revathi ¹, M. Hemalatha ¹

Affiliations
1 Department of Computer Science, Karpagam University, Coimbatore-21, IN

Abstract

This research work exposes the novel approach of analysis at existing works based on machine vision system for the identification of the visual symptoms of Cotton crop diseases, from RGB images. Diseases regions of cotton crops are revealed in digital pictures, Which were amended and segmented. In this work Proposed Enhanced PSO feature selection method adopts Skew divergence method and user features like Edge, Color, Texture variances to extract the features. Set of features was extracted from each of them. The extracted feature was input to the SVM, Back propagation neural network (BPN), Fuzzy with Edge CYMK color feature and GA feature selection. Tests were performed to identify the best classification model. It has been hypothesized that from the given characteristics of the images, there should be a subset of features more informative of the image domain.To test this hypothesis, three classification models were assessed via cross-validation. To Evaluate its efficiency of six types of diseases have been accurately classified like Bacterial Blight, Fusariumwilt, Leaf Blight, Root rot, Micro Nutrient, Verticilium Wilt.The Experimental results obtained show that the robust feature vector set which is an Enhancement of a feature extraction method (EPSO) has been afforded the performance assessment of this system.

Keywords

SVM, BPN, Fuzzy, CMYK and Edge Features, Genetic Algorithm, Cotton Leaf Data Sets, Enhance Particle Swarm Optimization, Skew Divergences Features.

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P. Revathi ¹, R. Balasubramanian ²

Affiliations
1 Holy Cross College (Autonomous), Tiruchirappalli-620002, IN
2 Rajah Duraisingam Government Arts College, Sivagangai, IN

Abstract

Wireless networks become more widely used to support advanced services. Traditional approaches to guarantee quality of service (QoS) work well only with predictable channel and network access. The Multicast transmission is a more efficient mechanism when compared to uni-casting in supporting group communication applications and hence is an important aspect of future network developments. To enable high QoS for all admitted traffic, the Admission Control monitors the wireless channel and dynamically adapts admission control decisions to enable high network utilization while preventing congestion. Mobile Adhoc networks can provide multimedia users with mobility, if efficient QoS multicast strategies were developed. In load balancing QoS Multicast Routing QMR, constant available bandwidth for the link is assumed. A cross-layer framework to support QoS multicasting is extended for more effective than QMR. The extension reflects good packet delivery ratios associated with lower control overhead and lower packet delivery delay. If minimum real-time requirements are not met, these unusable packets waste scarce bandwidth and hinder other traffic, compounding the problem. Whereas the dynamically adapted mobility with control overhead monitors the high QoS for all admitted traffic, and the bandwidth for each node is enhanced to reflect the good packet delivery ratio associated with lower control overhead and lower packet delivery delay.

Keywords

Admission Control, Bandwidth Estimation, Control Overhead (OH), Delivery Ratio, Load Balancing, QoS, QMR.

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P. Revathi ¹

Affiliations
1 Head and Assistant Professor (SG), Commerce Banking and Insurance, Dr. N. G. P. Arts and Science College (Autonomous), Coimbatore, Tamil Nadu, IN

Abstract

Human resources are important. Companies have come to realise that a skilled, competent work force with the right motivation can do wonders. The study is based on the findings of each and every dimension, namely adaptability, initiative, judgement, problem solving, planning and organising, leadership quality, productivity, and use of technology; the referential debate is also provided. The researcher attempts to find the contributing factor of management competency leading to stress among the managers/supervisors and administrative staff members involved in the study. The demographics with overall perception of competency mapping were found to be significant with respect to age, sex, marital status, educational qualification, size of the family, monthly family income, place of residence, and present experience in the organisation; there was no significant relationship with respect to type of spinning mills, type of family, designation, and employment status. It is suggested that the management should make the effort to improve the overall quality of the employees, based on the dimensions, by providing necessary training and equip them with necessary skills.

Keywords

Competency, Adaptability, Initiative, Judgement, Problem Solving, Planning and Organising, Leadership Quality, Productivity, Use of Technology

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