of their relationships with mothers, fathers, siblings, grandparents, friends, and teachers. Consistent with Weiss's (1974) theory, children reported seeking different provisions from different individuals. Mothers and fathers were turned to most often for affection, enhancement of worth, a sense of reliable aid

Cognitive radio technology has been proposed to improve spectrum efficiency by having the cognitive radios act as secondary users to opportunistically access under-utilized frequency bands. Spectrum sensing, as a key enabling functionality in cognitive radio networks, needs to reliably detect

are at least as reliable as those made by human annotators. Because our approach is fully automated through all its steps, it could provide means to obtain large samples of "sense-tagged" data without the high cost of human annotation.

reliability of the system was dominated by sensing reliability of the pulse oximeters (median 80.85%, range 0.46 % – 97.69%). Sensing failures usually occurred in short bursts, although longer periods were also present due to sensor disconnections. We show that the sensing reliability could be significantly

Sensor networks with battery-powered nodes can seldom simultaneously meet the design goals of lifetime, cost, sensing reliability and sensing and transmission coverage. Energy-harvesting, converting ambient energy to electrical energy, has emerged as an alternative to power sensor nodes

Although data forwarding algorithms and protocols have been among the rst set of issues explored in sensor networking, how to reliably deliver sensing data through a vast eld of small, vulnerable sensors remains a research challenge. In this paper we present GRAdient Broadcast (GRAB), a new set

Sensor networks are meant for sensing and disseminating information about the environment they sense. The criticality of a sensed phenomenon determines it's importance to the end user. Hence data dissemination in a sensor network should be informationaware.

A prototype system for implementing a reliable sensor network for large scale smart environments is presented. Most applications within any form of smart environments (rooms, o#ces, homes, etc.) are dependent on reliable who, where, when, and what information of its inhabitants (users

There has been increasing interest in the exploitation of advances in information technology in surface transportation systems. One trend is to exploit on-board sensing, computing and communication capabilities in vehicles, e.g., to augment and enhance existing intelligent transportation systems. A

This paper describes a method for generating sense-tagged data using Wikipedia as a source of sense annotations. Through word sense disambiguation experiments, we show that the Wikipedia-based sense annotations are reliable and can be used to construct accurate sense classifiers.