The isthmus is the organizing center for the tectum and cerebellum. Fgf8 and Wnt1 are secreted molecules expressed around the isthmus. The function of Fgf8 has been well analyzed, and now accepted as the most important organizing signal. Involvement of Wnt1 in the isthmic organizing activity was suggested by analysis of Wnt1 knockout mice. But its role in isthmic organizing activity is still ob...

As a matter of fact, the estimated loss of the human life caused by the earthquake is a crucial issue. This estimate helped to administrators in planning for the preventive measures or the crisis management after the earthquake. In this article, we represented a new model for measuring the loss of human life utilizing the self-organizing competitive neural networks. In the latest model, the neu...

This paper analyzes adaptive algorithm 3 (AA3) of adaptive self-organizing concurrent systems (ASOCS) and proves that AA3 correctly fulfills the rules presented. Several different models for ASOCS have been developed. AA3 uses a distributed mechanism for implementing rules so correctness is not obvious. An ASOCS is an adaptive network composed of many simple computing elements operating in para...

Android is an open source platform based on Linux kernel; it is one of the first operating systems that use a permission mechanism to control access to resources. The permission mechanism is fine gained and can control what a particular process could and could not perform. Therefore, these permissions should be monitored closely to make sure they are not assigned to the wrong application. This ...

The objective of this paper is to develop a mechanism enabling spontaneous hypercycles to coexist. Hypercycle models, arising from local interactions, are a promising approach to emergent computation because of their powerful self-organizing behavior and flexible reaction schemes. However, theoretical studies have shown that this powerful self-organizing ability fails to allow the symbiosis of ...

The key problem in achieving efficient and user-friendly retrieval in the domain of image is the development of a search mechanism to guarantee delivery of minimal irrelevant information (high precision) while ensuring that relevant information is not overlooked (high recall). The unstructured format of images tends to resist the deployment of standard search mechanism and classification techni...

This paper evaluates a self-organizing routing protocol for Ad Hoc network, called the Neuron Routing Algorithm (NEURAL). NEURAL has been designed taking into account the learning and self-organizing abilities of the brain. More precisely, it was inspired by the synapses process between neurons, when a signal is propagated. Basically, the most significant characteristic of NEURAL is the uniform...

Artificial neural networks can be used effectively to identify and classify multiple events in a seismic data set. We use a specialized neural network, a self-organizing map, that tries to establish rules for the characterisation of the physical problem. Selected seismic data attributes are used as input patterns, such that the self-organizing map arranges the data in a manner that forms cluste...