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Broadband Large-Scale Modeling for Wireless PDF Print E-mail

The objective of this project is to advance the state of the art in measurement and modeling of high frequency wireless systems and components under large signal conditions. It aims to develop and verify a standard nonlinear device with large-signal response that can be predicted from underlying physical principles; develop a measurement-based model, and validate by comparing system simulation predictions to those based on a physical model.  The project also aims at producing methods and software for instrument calibration and system simulations.

Institute/Organization: Information Technology Laboratory (ITL) , National Institute of Standards and Technology (NIST) , USA

Research Team:  Antonio Possolo This e-mail address is being protected from spambots. You need JavaScript enabled to view it

Status: Ongoing

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Border Gateway Protocol - Robustness and Security PDF Print E-mail

This project focuses on Robustness, Security, and Scalability of Internet Routing Infrastructure, in particular, the Border Gateway Protocol (BGP).The aim of this project is to design, standardize, test and foster commercial deployment of new technologies and techniques to improve the security, robustness and scaling of core Internet infrastructure.

Institute/Organization: Information Technology Laboratory (ITL) , National Institute of Standards and Technology (NIST) , USA

Research Team: Kotikalapudi Sriram, This e-mail address is being protected from spambots. You need JavaScript enabled to view it

Status: Ongoing

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Bokode: Imperceptible Visual Tags for Camera-Based Interaction from a Distance PDF Print E-mail

With over a billion people carrying camera-phones worldwide, This study has a new opportunity to upgrade the classic bar code to encourage a flexible interface between the machine world and the human world. Current bar codes must be read within a short range and the codes occupy valuable space on products. The study presents a new, low-cost, passive optical design so that bar codes can be shrunk to fewer than 3mm and can be read by unmodified ordinary cameras several meters away.

Institute/Organization : MIT Media Lab, Massachusetts Institute of Technology, USA

Research Team : Ramesh Raskar (Director)

Status : Going on

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Blossom PDF Print E-mail

Blossom is a multi person awareness system that uses ioMaterials-based techniques to connect distant friends and family. It provides an awareness medium that does not rely on the attention- and reciprocity-demanding interfaces that are provided by digital communication media such as mobile phones, SMS, and email. Combining touch-based input with visual, haptic, and motile feedback, Blossoms are created as pairs that can communicate over the network, echoing the conditions of each other and forming an implicit, always-there link that physically express awareness, while retaining the instantaneous capabilities that define digital communication.

Institute/Organization : MIT Media Lab, Massachusetts Institute of Technology, USA

Research Team : Pattie Maes (Director)

Status : Going on

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Blitz Scribe: Speech Analysis for the Human Speech home Project PDF Print E-mail

Blitz Scribe is a new approach to speech transcription driven by the demands of today's massive multimedia corpora. High-quality annotations are essential for indexing and analyzing many multimedia datasets; in particular, our study of language development for the Human Speech me Project depends on speech transcripts. Unfortunately, automatic speech transcription is inadequate for many natural speech recordings, and traditional approaches to manual transcription are extremely labor intensive and expensive. Blitz Scribe uses a semi-automatic approach, combining human and machine effort to dramatically improve transcription speed. Automatic methods identify and segment speech in dense, multitrack audio recordings, allowing us to build streamlined user interfaces maximizing human productivity. The first version of Blitz Scribe is already about 4-6 times faster than existing systems. It is exploring user-interface design, machine-learning and pattern-recognition techniques to build a human-machine collaborative system that will make massive transcription tasks feasible and affordable.

Institute/Organization : MIT Media Lab, Massachusetts Institute of Technology, USA

Research Team : Deb Roy (Director)

Status : Going on

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