A Directed FCM Approach for Analysis of Stained Tissues

The use of digital imagery has increased phenomenally especially in the clinical field. These images are obtained from different modalities such as X-ray and MRI. Digital imaging of the more traditional imagery such as stained tissues has opened up new means of investigation. Hence a need to build a system to analyze the stained tissues and extract the salient information has risen. A Directed FCM Approach for Analysis of Stained Tissues introduces a modified FCM to analyze the tissues. The analysis can be controlled by the user by selecting the number of clusters, size of the clusters and the centers for the clusters. The results of this analysis are reported as the percent of changes in a specific square area

A Combined Crisp and Fuzzy Approach for Handwriting Analysis

This paper presents an off-line writer-independent handwriting analysis system which utilizes both classical crisp and fuzzy methodologies to output possible personality traits of the writer. The design deploys an analytical handwriting analysis approach based on two primitives, the baseline and the slant angle of the characters. The objective of the design strategy is to present a group of parameters for handwriting analysis based on the text. These parameters allow for the classification of writing into different categories which could be used as a preliminary step for outputting the personality traits of the writer. Two parameters, the baseline and the slant-angle, are the inputs to a rule-base which outputs the personality trait category. The evaluation of the baseline is non-fuzzy (crisp) whereas the evaluation of the slant-angle utilizes the fuzzy paradigm. The approach is based on a combination of classical geometric arithmetic evaluation and fuzzy control designs. For determination of the base line angle two methodologies are explored: the geometric-features based segmentation method and a method based on biologically inspired generation theories or the low pass filtering method. We utilize the geometric features evaluation for the baseline extraction since it proves more robust with respect to the variations of the handwriting in an off-line environment. For determination of the slant type a fuzzy technique is adopted to determine the contributions of the slant-type angle to each of the five variations of the slant-type categories. The uncertainties in the system model are expressed by fuzzy-valued model parameters with their membership functions derived from experimental data. In total five variations of slant type are considered. These include extreme left, controlled left, vertical, controlled right and extreme right. Fifteen personality traits PT1 - PT15 were identified and sets of rules formulation were created, (e.g., If Input1 is level and Input2 is Controlled Left then Output is PTx.) The proposed approach takes advantage of two differing methodologies that have clear outputs to evaluate two attributes of handwriting. The outputs are utilized to determine a personality trait. The system can be further enhanced by including more parameters such as size of letters, spacing between letters and other attributes of handwriting as part of the inputs for trait determination

A Hybrid Communication Protocol For Cellular Architecture Using Energy-Efficient AODV

Abstract- Cellular mobile communication nowadays is one of the fastest growing means of communication. With the load on the channel between base stations and mobile hosts increasing, there is an increasing demand on the communication means to be energy efficient. Some of the algorithms like AODV have already come up in the mobile adhoc networks to counter the problems of excessive energy consumption. In this paper we have proposed a new energy efficient routing scheme for communication in cellular networks that uses the idea of AODV and the existing communication scheme used in cellular networks. The proposed work also offers efficient handling of packet loss during handoff

A High Performance Non-Blocking Checkpointing / Recovery Algorithm For Ring Networks

Abstract- In this paper, we have proposed a new checkpointing / recovery algorithm for ring network architecture. The checkpointing algorithm produces a consistent set of checkpoints in a uni-directional network with the help of few control messages and also avoids the overhead of taking temporary checkpoints unlike most other existing checkpointing algorithms. The number of interrupts to the processes is also less that ensures fast termination of the checkpointing algorithm as well as the application program. The main features of the recovery algorithm are that it is a single step, non-blocking algorithm, with very few interrupts to the processes. Keywords: Ring Network, Checkpointing, Recovery, Non-blocking. 1