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The node capture attack in wireless sensor networks (WSNs) can be decomposed into three stages: physically capture of node, redeployment of compromised node, and rejoin the network for various insider attacks. A well accepted belief — that the physical capture is easy to implement and that its detection is difficult — has directed majority of(More)
Volume visualization is an important technique for analyzing datasets from a variety of different scientific domains. Volume data analysis is inherently difficult because volumes are three-dimensional, dense, and unfamiliar, requiring scientists to precisely control the viewpoint and to make precise spatial judgments. Researchers have proposed that more(More)
—Researchers have traditionally used desktop display systems for visualizing and analyzing volume data. This is partially due to the lack of empirical results showing benefits of immersion for analysis of volume data, and also due to the cost of highly immersive virtual reality (VR) platforms. Researchers exploring the benefits of immersion tend to compare(More)
In our research agenda to study the effects of immersion (level of fidelity) on various tasks in virtual reality (VR) systems, we have found that the most generalizable findings come not from direct comparisons of different technologies, but from controlled simulations of those technologies. We call this the mixed reality (MR) simulation approach. However,(More)
Emerging novel 3D interaction technologies allow precise tracking of bare hands and fingers, but due to the differences between these devices and traditional trackers, it is not clear how to design effective interaction techniques using these technologies. Using the Leap Motion Controller, we designed travel techniques with bare-hand interaction. We(More)
The Volume Cracker is a 3D interaction technique designed to allow rapid and intuitive visual analysis of raw volume data. However, the original Volume Cracker design was limited due to cumbersome and expensive hardware and the inability to interact with real volume data. New input devices such as the Leap Motion Controller enable 6-DOF tracking of bare(More)
Analysis of volume datasets often involves peering inside the volume to understand internal structures. Traditional approaches involve removing part of the volume through slicing, but this can result in the loss of context. Focus+context visualization techniques can distort part of the volume, or can assume prior definition of a region of interest or(More)
While there have been hundreds of psychological studies using virtual reality (VR) over the past few decades, those studies have almost exclusively been conducted in laboratory settings using small samples of college students with little demographic variance. Hence, the generalizability of the results is limited, as not all findings will apply outside the(More)
Virtual Colonoscopy (VC) is a non-invasive clinical procedure that detects colon cancer in humans. VC seeks to supplement and improve the compliance rates for diagnosed patients, since the traditional optical colonoscopy is more painful, and less effective for cancer detection. In this paper, we discuss the benefits of using a 3D immersive user interface(More)