A Hybrid Method for Enhancement of Plant Leaf Recognition Abstract: This paper focuses on the preprocessing technique for CAP-LR  (Computer aided plant classification through leaf recognition). Pre-  processing is the basic step to reconstruct the image with some useful  feature. This technique is essential for the enhancement of leaf images  which increases the efficiency of the subsequent tasks of the leaf  recognition system. In this paper, an hybrid approach is proposed which is a  combination of contrast stretching and adaptive thresholding that  simultaneously adjusts the intensity level of leaf images using boundaries is  developed. The validation of proposed system is carried out based on the  defined parameter matrices. The experimental results shows that the  proposed method proves efficient when compared to other traditional  methods. Keywords : image enhancement; Histogram equalization; Contrast  stretching; intensity adjustment; Adaptive Thresholding; Median filter;  wavelet filter. Effect of Pressure Variation on the Fingerprint Minutiae Based Feature Vector Matching Abstract: Fingerprint verification of online fingerprint images has become a  very actively studied field in biometric systems. This paper investigates the major challenges in fingerprint recognition if the  images are captured at varying pressure. Extracting minutiae  from  fingerprint  images  is one of  the  most  important  steps  in   automatic  fingerprint verification  and  classification. Minutiae are local discontinuities in the fingerprint images, mainly ridge termination  and bifurcations. In this paper we proposed an algorithm   m-margin to fill the broken curves on a fingerprint. Our proposed algorithm  eliminates false minutiae that connect broken curves in   fingerprint. The method is initialized with the captured image using local  histogram equalization, FFT, image binarization, thinning, skeleton refinement, end-points, filtering and matching. The  images  achieved from these steps are passed through proposed mmargin algorithm. This method show some improvement in the minutiae extraction process in  terms of either efficiency and/or time   required. The quality of the fingerprint images greatly affects the  performance of the minutiae extraction.   Keywords : biometrics; minutiae; ridge; valley; FRR; FAR; skeletonization;  m-margin. Cooperative Machine Learning Method Abstract: Cooperative learning refers to an approach where one or more  team of learners work together towards reaching a better knowledge or  understanding of a specified task. The purpose of this paper is to use this  approach to describe a proposal for designing and building a cooperative  machine learning system (Multi-Learning system) that contains two or more  machine learners that cooperate together.   The objective of the proposal in this paper is to improve the effectiveness  of the machine learning systems. Keywords : Cooperative Learning; Machine Learning; inductive learning;  Multi-Learning system; Knowledge base; Artificial Intelligence.   Cyclic model application for evaluation of a Dynamic Web  Environment  Abstract: Dynamic web environment in the form of E-learning systems are  increasingly being adopted by educational   organizations. This E-learning system is taking important place in formal  and less formal educational setting. Such an environment   enhances the conventional system of education by utilizing the digital  resources comprising of learning objects as delivery mode for imparting instructions. This research paper, thus, focuses on the creation  and evaluation of a Dynamic Web Environment and has fourfold objective. Firstly, it focuses on dynamic web environment,  learning objects and their relation in development of dynamic   web environment. The paper then pre-tests the perception of students for  such an environment Secondly, it discusses the creation of dynamic web environment with special reference to the research study  conducted by creating  a demonstrative dynamic web   environment called E-campus. The tools and technologies used in the  development of this dynamic web environment are also   highlighted. Thirdly, the paper post-tests the created E-Campus   environment.  And finally, the  paper ends with analysis and conclusions drawn for these research studies.  Keywords : Interactive learning environments; Improving classroom  teaching; Lifelong learning;  Cooperative/Collaborative  learning; Teaching/learning strategies. Study of Effect of Rate on Performance of Cross Layer Based Inrusion Detection for WLAN Abstract: The advent of wireless LAN is a onelcome sign in terms of ease of  deployment and reconfiguration. Hoonever, security is an alarming concern, as everything being transmitted is available in the  air. The presernt paper deals with Study of effect of rate on performance of cross layer based inrusion detection for WLAN reflects  the significance of cross layer technique in detecting   intruder on WLAN. In cross layer based intrusions detection the decision is