With the multitude of non-communicating wearable sensors, there is an urgent need to better combine wearable data streams in order to improve human health and well-being. A five-step process is proposed. The first step is to specify the human behavior that the data set will address. The second step is to critically assess primary measurement that allows the behavioral goal to be addressed. Afte...

A sequence of sounds may be heard as coming from a single source (called fusion or coherence) or from two or more sources (called fission or stream segregation). Each perceived source is called a 'stream'. When the differences between successive sounds are very large, fission nearly always occurs, whereas when the differences are very small, fusion nearly always occurs. When the differences are...

This issue highlights multiple emerging streams and clusters of research in corporate governance organizational behavior domain.

The Multiple Associative Computing (MASC) parallel model is a generalization model of an Associative Computing (ASC) parallel model designed to support multiple ASC data parallel threads by using control parallelism. The MASC model is designed to combine the advantages of both Single Instruction Stream Multiple Data Streams (SIMD) and Multiple Instruction Streams Multiple Data Streams (MIMD) mo...

In response to a nationwide rise in obesity, several states have passed legislation to improve school health environments. Among these was Arkansas's Act 1220 of 2003, the most comprehensive school-based childhood obesity legislation at that time. We used the Multiple Streams Framework to analyze factors that brought childhood obesity to the forefront of the Arkansas legislative agenda and resu...

Data streaming applications are becoming more and more common due to the rapid development in emerging areas such as sensor networks, multimedia streaming, and on-line data mining, etc. These applications are often running in a decentralized, distributed environment. The requirements for processing large volumes of streaming data at real time have posed many great design challenges. One of the ...

Synchronizing di erent data streams from multiple sources simultaneously at a receiver is one of the basic problems involved in multimedia distributed systems. This requirement stems from the nature of packet based networks which can introduce end-to-end delays that vary both within and across streams. In this paper, we present a new algorithm called Concord, which provides an integrated soluti...

Telepresence conferencing systems seek to create an environment that gives users (or user groups) that are not co-located a feeling of colocated presence through multimedia communication that includes at least audio and video signals of high fidelity. A number of techniques for handling audio and video streams are used to create this experience. When these techniques are not similar, interopera...

Heterogeneous MultiCast (HMC) is a communication paradigm for distributing real-time streams among multiple session participants that have diierent constraints and reception preferences. In HMC, sources ooer streams to the participants , and each participant speciies individualized delity level for each stream he/she wants to receive. Participants can change their speciication in mid-session. T...

Nowadays verifying the result of the remote computation plays a crucial role in addressing in issue of trust. The outsourced data collection comes for multiple data sources to diagnose the originator of errors by allotting each data sources a unique secrete key which requires the inner product conformation to be performed under any two parties different keys. The existing work under single key ...