Skinput

ABSTRACT

Skinput is an input technology that uses bio-acoustics sensing to localize finger taps on the skin. When augmented with a pico projector, the device can provide a direct manipulation, graphical user interface on the body. The technology was developed by Chris Harrison, Desney Tan and Dan Morris at Microsoft Research’s Computational User experience Group.

Skinput represents one way to decouple input from electronic devices with the aim of allowing devices to become smaller without simultaneously shrinking the surface area on which input can be performed. While other systems, like Sixth sense have attempted this with computer vision, Skinput employs acoustics, which take the advantage of the human body’s natural sound conductive properties. This allows the body to be annexed as an input surface without the need for the skin to be invasively instrumented with sensors, tracking, markers, or other items.

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APPLE – A Novel Approach for Direct Energy Weapon Control

ABSTRACT

Adaptive photonic based phase locked elements (APPLE) is Raytheon’s DARPA development initiative. The initiative is for development of a directed energy weapon that utilizes a beam combining technique for the achievement of high power. It will integrate the laser enabled weapon applications into unmanned aerial vehicles. The APPLE program is to enable all electronic combining of high-power laser engraver beams within an agile, conformal aperture-a practical approach to synthesizing high-power weapon laser engravers from low-power modules for applications such as laser radar, laser target designation, laser communications, and weapons grade lasers. The idea is to provide electro-optical systems with the same mission flexibility and performance that microwave phased arrays provide for RF applications such as radar and electronic warfare systems.

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TRACKING AND POSITIONING OF MOBILE PHONES

ABSTRACT


Mobile positioning technology has become an important area of research, for emergency as well as for commercial services. Mobile positioning in cellular networks will provide several services such as, locating stolen mobiles, emergency calls, different billing tariffs depending on where the call is originated, and methods to predict the user movement inside a region. The evolution to location-dependent services and applications in wireless systems continues to require the development of more accurate and reliable mobile positioning technologies.
The major challenge to accurate location estimation is in creating techniques that yield acceptable performance when the direct path from the transmitter to the receiver is intermittently blocked. This is the Non-Line-Of-Sight (NLOS) problem, and it is known to be a major source of error since it systematically causes mobile to appear farther away from the base station (BS) than it actually is, thereby increasing the positioning error. In this seminar, I present a simple method for mobile telephone tracking and positioning with high accuracy.
This presents the location of a mobile telephone by drawing a plurality of circles with the radii being the distances between a mobile telephone and a several base stations (it will be found using Time Of Arrival (TOA)) and the base stations at their centers, and using location tracking curves connecting the intersection points between each circle pair instead of the common chords defined by the circles. We use location tracking curves connecting the intersection points of the two circles which will be drawn by ordinary TOA method, instead of the common chord as in TDOA.



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