The self organizing map (SOM) is one of the popular clustering and data visualization algorithms and has evolved as a useful tool in pattern recognition, data mining since it was first introduced by Kohonen. However, it is observed that the magnification factor for such mappings deviates from the information-theoretically optimal value of 1 (for the SOM it is 2/3). This can be attributed to the...

In recent years, the utilization of self-organizing, wireless, ad-hoc networks, such as sensor networks and embedded systems, has become more and more attractive. Potential applications include automation of business activities, traffic control as well as advanced monitoring systems for buildings or wildlife. Our goal is to integrate different selforganizing networks with geographic information...

Since the entities composing self-organizing systems have direct access only to information provided by their vicinity, it is a nontrivial task for them to determine properties of the global system state. However, this ability appears to be mandatory for certain self-organizing systems in order to achieve an intended functionality. Based on Shannon’s information entropy, we introduce a formal m...

Traffic and Travel Information (TTI) systems in use today are based on a centralized structure. Sensors along the roadside monitor traffic density and transmit the results to a central unit where a situation analysis of the global traffic scenario is performed. The resulting traffic information is made available to the drivers via broadcast service or alternatively on demand via cellular phone....

Answers to clinical questions occurring during healthcare practitioner/patient interaction can be often found in National Library of Medicine's (NLM) databases. The recent advances in wireless handheld computers promise to make them a widely used tool to deliver needed information to the practitioner at the point of service. This paper addresses challenges in organizing and presenting informati...

All around the globe, thousands of learning experiments are being executed on a daily basis, only to be discarded after interpretation. Yet, the information contained in these experiments might have uses beyond their original intent and, if properly stored, could be of great use to future research. In this paper, we hope to stimulate the development of such learning experiment repositories by p...

The Self-Organizing Map (SOM) is an unsupervised neural network algorithm that projects highdimensional data onto a two-dimensional map. The projection preserves the topology of the data so that similar data items will be mapped to nearby locations on the map. Despite the popular use of the algorithm for clustering and information visualisation, a system has been lacking that combines the fast ...

We consider wireless broadcasting of data as a way of disseminating information to a massive number of users. Organizing and accessing information on wireless communication channels is di erent from the problem of organizing and accessing data on the disk. We describe two methods, (1; m) Indexing and Distributed Indexing, for organizing and accessing broadcast data. We demonstrate that the prop...