The purpose of the study was to find out whether the conceptual connection of emotion and motion is holding in the domain of personality traits. In a quantitative study 40 Estonian terms of personality traits were investigated and a conclusion was driven that, indeed, the qualities of emotionality and motion are perceived as co-present characteristics. In further data analysis some visualized m...

The Kohonen Self-Organizing Feature Map algorithm is compared to the K-Means vector quantization algorithm. Computation and storage requirements are calculated for both algorithms. A new algorithm which takes advantage of the structured code book produced by Kohonen's algorithm is introduced. This algorithm ooers a signiicant computational savings over full-search vector quantiza-tion without i...

Transmission of Vector Quantized Images by Self-Organizing Map Jari Kangas Helsinki University of Technology Neural Networks Research Centre Rakentajanaukio 2 C, FIN-02150, Espoo, FINLAND tel: +358 0 451 3275, fax: +358 0 451 3277 email: Jari.Kangas@hut. Abstract Image compression is needed for image storage and transmission applications. Vector quantization methods o er good performance when h...

P2P data storage requires strong reliability and security assurances. Existing data storage solutions have been designed for centralized as well as distributed settings, yet they do not address the security and cooperation issues raised by self-organization. P2P systems also introduce new needs regarding data availability due to the dynamicity of the infrastructure, and which are unaddressed so...

Self-* systems are self-organizing, self-configuring, self-healing, self-tuning and, in general, selfmanaging. Ursa Minor is a large-scale storage infrastructure being designed and deployed at Carnegie Mellon University, with the goal of taking steps towards the self-* ideal. This paper discusses our early experiences with one specific aspect of storage management: performance tuning and projec...

The electricity distribution regulation and efficiency benchmarking practice in Finland has drawn attention because of its controversial regulatory scheme and arguably efficient electricity distribution sector. This study uses a computational intelligence tool, i.e., Self-Organizing Map (SOM), in the context of electricity distribution efficiency performance visualization. A SOMmodel has been b...

Web Usage Mining becomes a vital aspect in network traffic analysis. Previous study on Web usage mining using a synchronized Clustering, Neural based approach has shown that the usage trend analysis very much depends on the performance of the clustering of the number of requests. Self Organizing Networks is useful for representation of building unsupervised learning, clustering, and Visualizati...

A Maximum-likelihood connectionist model for unsupervised learning over graphical domains

Main memory is continuously improving both in price and capacity. With this comes new storage problems as well as new directions of usage. Just before the millennium, several main memory database systems are becoming commercially available. The hot areas include boosting the performance of web-enabled systems, such as search-engines, and auctioning systems. We present a novel data storage struc...