Kingdon’s multiple-streams framework, which emerged in the mid-1980s, today forms one of the indispensable analytical frameworks for understanding public policy agenda-setting. However, it is only in the context of wealthy countries that this approach has been validated for setting the agenda of national and international policies. This article reports the results of empirical research in an Af...

In this paper we discuss a new automatic speech recognition ASR approach based on the inde pendent processing and recombination of several feature streams In this framework it is assumed that the speech signal is represented in terms of multiple input streams each input stream representing a di erent characteristic of the signal If the streams are entirely synchronous they may be accommodated s...

Despite all efforts in the last decennium, IT governance continues to be a "top 10" issue for CIO’s. The goal of our research program is to determine which disciplines and frameworks are used for IT governance and which streams in IT governance literature do best align with current practices. This study describes the results of a literature review and Delphi study of IT governance effectiveness...

In group communication, users often have different access rights to multiple data streams. Based on the access relation of users and data streams, users can form partially ordered relations, and data streams can form partially ordered relations. In this paper, we propose a key management scheme for hierarchical access control, which considers both partially ordered user relations and partially ...

Semiaquatic flies (Diptera, Nematocera) are an ecologically important and species rich group of insects within the boreal and arctic biomes. Community structure, species richness and abundance of semiaquatic flies were studied in three habitat types (aapa mires, springs and headwater streams), totaling 19 study sites, within the subalpine ecoregion of northern boreal Finland. Concordance of sem...

We investigate adaptive buffer management techniques for approximate evaluation of sliding window joins over multiple data streams. In many applications, data stream processing systems have limited memory or have to deal with very high speed data streams. In both cases, computing the exact results of joins between these streams may not be feasible, mainly because the buffers used to compute the...

An increasing amount of data is produced in the form of text streams − these can be RSS news feeds, TV closed captions, emails, etc. We study the problem of answering keyword queries on multiple textual streams. We define the result of a keyword query inspired by previous work on keyword search on static databases. A result to a query is a combination of streams “sufficiently correlated” to eac...

Multimedia applications nowadays are becoming the standard, for they utilize the enormous human brain computational power. In the past, the Relational Database Model was generalized to the Multimedia Databases Model. Orthogonally, the Relational Database model was recently generalized to the Data Streams Model, as the technology advanced and Data became bulky and unbounded in size, utilizing se...

In this paper, we formally define and study the event graph model based on set theory and multi-relations theory, and discuss the methods of modeling event and event relations in detail. The event graph model is mainly designed to extract the potential events and the relationships between events from massive text streams, and further discover the trends embodied in the contents in text streams....

Broadcasting of media events is a real-time action demanding reliable just in time decisions based on the current content of incoming video streams and the availability of background material. Multi-stream broadcasting of this type of event thus demand monitoring of multiple streams and background material. Due to the potentially large amount of streams and other available material, manual moni...