Keeping track of financial transactions (e.g., in banks and blockchains) means keeping track of an ever-increasing list of exchanges between accounts. In fact, many of these transactions can be safely “forgotten”, in the sense that purging a set of them that compensate each other does not impact the network’s semantic meaning (e.g., the accounts’ balances). We call nilcatenation a collection of...

In this lab we learn about principal component analysis and apply it to compress a set of images.

This demo features a multi-hop Visual Sensor Network, capable of recognizing objects using two different visual paradigms. In the traditional compress-then-analyze (CTA) paradigm, JPEG compressed images are transmitted through the network from a camera node to a central controller, where the analysis takes place. In the alternate analyze-then-compress (ATC) paradigm, the camera node extracts an...

XML documents are by design self-describing. In order to accomplish this, the XML data is highly verbose and very repetitious. Although techniques already exist to compress XML and text in general, most do not keep the data in a form that is useful to users. We present a technique that makes use of recurring structures within an XML document to compress the file in a way that can achieve better...

The purpose of this paper is to show that neural networks may be promising tools for data compression without loss of information. We combine predictive neural nets and statistical coding techniques to compress text files. We apply our methods to certain short newspaper articles and obtain compression ratios exceeding those of the widely used Lempel-Ziv algorithms (which build the basis of the ...

The most commonly known nerve compression syndrome is carpal tunnel syndrome, in which the median nerve is compressed at the wrist. Along with the pathological processes, some of the anatomically variant structures can also compress the nerves and often leads to confusion in the diagnosis and treatment if one is unaware of such possible anatomical variants. Here, we present a case of possible m...

The requirement to efficiently store and process SMILES data used in Chemoinformatics creates a demand for efficient techniques to compress this data. General-purpose transforms and compressors are available to transform and compress this type of data to a certain extent, however, these techniques are not specific to SMILES data. We develop a transform specific to SMILES data that can be used a...