Non-volatile memories (NVM) including flash memories and resistive memories have attracted significant interest as data storage media. Flash memories are widely employed in mobile devices and solid-state drives (SSD). Resistive memories are promising as storage class memory and embedded memory applications. Data reliability is the fundamental requirement of NVM as data storage media. However, m...

Purpose This study aims to present a typology of Facebook followers charities, drawing on theories value co-creation, impression management and conspicuous donation behavior. Design/methodology/approach Data from 234 students based in an Irish University 296 adults the USA were subjected cluster analysis. Findings Four segments identified, common both samples. Quiet donors are less likely engag...

In this paper an audio watermarking technique is presented, using log-spectrum, dirty paper codes and LDPC for watermark embedding. This technique may be used as a digital communication channel, transmitting data at about 40 b/s. It may be also applied for hiding a digital signature, e.g., for copyright protection purposes. Robustness of the watermarks against audio signal compression, resampli...

One of life’s immutable laws, sometimes known as Murphy’s law of dirt, is that, to make something clean, something else must become dirty. Thus now, when more than ever before, our manufacturing and process industries are striving to achieve total cleanliness and purity of products and components, we are also making more dirty waste products than ever before. Further, to make something very cle...

In this paper, the cooperative diversity with superposition modulation, which has been proposed as an instance of “dirty paper coding”, is theoretically analyzed using the outage probability. However, the conventional system with superposition modulation cannot ideally perform dirty paper coding. Thus, we propose to apply constellation rotation technique and iterative processing to the superpos...

Large industrial-scale databases tend to be poorly structured, dirty, and very confusing. There are many reasons for this disorder, not the least of which is that the application domains themselves are poorly structured, dirty and confusing. As data analysts, we are often called upon to mine, clean, or otherwise analyze these databases. In this article, we describe the types of problems we have...