Membrane fusion is required to establish the morphology and cellular distribution of the mitochondrial compartment. In Drosophila, mutations in the fuzzy onions (fzo) GTPase block a developmentally regulated mitochondrial fusion event during spermatogenesis. Here we report that the yeast orthologue of fuzzy onions, Fzo1p, plays a direct and conserved role in mitochondrial fusion. A conditional ...

Decision making process in stock trading is a complex one. There are numbers of technical indicators that are used by traders to study trends of the market and make buying and selling decisions based on their observations. This research seeks to deploy fuzzy inference to stock market, with four indicators used in technical analysis to aid in the decision making process in order to deal with pro...

In this paper a best method of fault locating in a radial power distribution system is discussed. The history associated with fault occurred in power system can be effectively used as a strong database. This database will act as the trainer to the fuzzy expert system. In this paper methodology based on fuzzy expert system is discussed for assistance to the operators for easy fault detection.Ele...

The recent and unprecedented surge of public interest in peer-to-peer (P2P) file-sharing systems has led to a variety of interesting research questions. How to minimize threats in such an open community is an important research topic. Trust models have been widely used in estimating the trustworthiness of peers in P2P file-sharing systems where peers can transact with each other without prior e...

This chapter is to focus on an Agent based approach to Multi robot control using type -2 fuzzy and Ant colony optimization. Type -2 fuzzy interval controllers was applied to the autonomous robot in order to handle uncertainty in a better way and ant colony optimization technique has been used for an optimized path planning in traffic environment with more number of robots. Both Agents based and...

Abstract A new technique for adaptation of fuzzy membership functions in a fuzzy inference system is proposed. The technique relies upon the isolation of the specific membership function that contributed to the final decision, followed by the updating of this function’s parameters using steepest descent. The error measure used is thus back propagated from output to input, through the min and ma...

Problem statement: Detecting tumor areas in breast Ultrasound (US) images is a challenging task. The occurrence of benign areas in breast may result in false identification of malignant areas which may have serious outcome. Approach: The CAD system could act as a major function in the early detection of breast cancer and could decrease the death rate among women with breast cancer. This challen...

Granular computing is a computational paradigm that mimics human cognition in terms of grouping similar information together. Compatibility operators such as cardinality, orientation, density, and multidimensional length act on both in raw data and information granules which are formed from raw data providing a framework for human-like information processing where information granulation is int...

ABSTRACT: A key issue in the research of an autonomous mobile robot is the design and development of an intelligent controller which can control and enables the robot to navigate in a real world environment, avoiding structured and unstructured obstacles especially in crowded and unpredictably changing environment, whether it is in land, underground, under water, on the air or in space. An inte...

P roblems requiring inferencing with Boolean logic have been implemented in percept rons or feedforward networks, and some attempts have been made to implement fuzzy logic based inferencing in similar networks. In this pap er, we present producti ve networks , which are art ificial neur al networks, meant for fuzzy logic based inferencing. The nod es in t hese networks collect an offset product...