This paper presents spectral multi-level (M-ary) amplitude shift keying (ASK) optical code-division-multiplexing (OCDM) as a key technology for future optical access network. A novel transmitter configuration to achieve flexible scalability that is required in future optical access network is proposed. The transmitter employs pre-biasing circuits and dummy data input. Pre-biasing circuits enabl...

Most time-series datasets with multiple data streams have (many) missing measurements that need to be estimated. Most existing methods address this estimation problem either by interpolating within data streams or imputing across data streams; we develop a novel approach that does both. Our approach is based on a deep learning architecture that we call a Multidirectional Recurrent Neural Networ...

The data stream model has been defined for new classes of applications involving massive data being generated at a fast pace. Web click stream analysis and detection of network intrusions are two examples. Cluster analysis on data streams becomes more difficult, because the data objects in a data stream must be accessed in order and can be read only once or few times with limited resources. Rec...

“Data Reservoir” is a file sharing facility system which uses parallel streams for huge data transfer on Long Fat Pipe Network. While experimenting Data Reservoir system, we observed that performances of parallel streams disperse a lot, which results in damage on total performance. To equalize throughput of parallel streams, we propose “Dulling Edges of Cooperative Parallel streams(DECP)”. This...

The phenomenal growth of Skype in recent years has surpassed all expectations. Much of the application’s success is attributed to its FEC mechanism, which adds redundancy to the voice streams to sustain audio quality under network impairments. Adopting the quality-of-experience (QoE) approach, i.e., measuring the Mean Opinion Scores (MOS), we examine how much redundancy Skype adds to its voice ...

In this paper, we analyze the dynamics of integrated process networks featuring large recycle streams and small purge streams. We consider a prototype network comprising of a reactor and a condenser, and, within the framework of singular perturbations, we establish that the dynamics of such a network exhibits three time scales. We describe a model reduction procedure which leads to an explicit ...

Data-intensive, interactive applications are an important class of metacomputing (Grid) applications. They are characterized by large, time-varying data flows between data providers and consumers. The topic of this paper is the runtime adaptation of data streams, in response to changes in resource availability and/or in end user requirements, with the goal of continually providing to consumers ...

Previous studies with effective connectivity analysis have revealed neural streams of orienting of attention. However, neural streams involved in holding of attention on the fovea remain unclear. To identify them, we performed event-related functional MRI with a cueing paradigm and Granger causality analysis. Typical regions along the dorsal attention network (DAN) showed greater activation dur...

Long lived audio streams, such as music broadcasts, and small differences in clock rates lead to buffer underflow or overflow events in receiving applications that manifest themselves as audible interruptions. We present a low complexity algorithm for detecting clock skew in network audio applications that function with local clocks and in the absence of a synchronization mechanism. A companion...

Sensor networks comprise small, low-powered and low-cost sensing devices that are distributed over a field to monitor a phenomenon of interest. The sensor nodes are capable of communicating their readings, typically through wireless radio. Sensor nodes produce streams of data, that have to be processed in-situ, by the node itself, or to be transmitted through the network, and analyzed offline. ...