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Carnegie Mellon University

Carnegie Mellon University (also known as CMU or simply Carnegie Mellon) is a private research university in Pittsburgh, Pennsylvania. The university began as the Carnegie Technical Schools, founded by Andrew Carnegie in 1900. In 1912, the school became Carnegie Institute of Technology and began granting four-year degrees. In 1967, the Carnegie Institute of Technology merged with the Mellon Institute of Industrial Research to form Carnegie Mellon University.

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Mining Data from Randomized Within-Subject Experiments in an Automated Reading Tutor Joseph E. Beck and Jack Mostow Project LISTEN (www.cs.cmu.edu/~listen), Carnegie Mellon University Funded by National Science Foundation and The Heinz Endowments Research question: What tutorial decision does the experiment investigate? Trial context: In what situation does the tutorial decision occur? Randomized decision: The Reading Tutor chooses at random among plausible alternative actions. Each such choice starts an experimental trial. Randomizing the decision allows causal attribution. Trial outcome: We define the outcome of each decision based on subsequent student behavior – a much finer-grained and more copious source of data than post-test scores. Analysis: Aggregating over many such trials can tell not only which choices work best, but when and for whom. Decoding: What type of help is most effective for helping students learn to decode words? Student is reading story and clicks on a word for help Examine student performance on a future encounter of the word. Does the student ask for help? Does the tutor accept the word as read correctly? N = 189,039 help events Rhyming help is most effective overall. For hard words, best to just tell the student the word. Vocabulary: Does a brief introduction to a word’s meaning before a story help the student to learn the word and comprehend the story? Before student starts to read story, Reading Tutor id...

A P K q1 q2 L Mass of A and P are M1 and M2 respectively Define Transformation Matrix: Define Partial Velocity Table:
Sphinx 3.X (X=4)

Sphinx 3.X (X=4)

Arthur Chan, Jahanzeb Sherwani, Ravishankar Mosur and Alex Rudnicky Four-Layer Categorization Scheme of Fast GMM Computation Techniques in Large Vocabulary Continuous Speech Recognition Systems Sphinx: -speaker-independent large vocabulary speech recognition system -open source under Berkeley-style license: one can distribute, modify and use it freely Sphinx 3.X: Reengineering of Sphinx 3 to create a real-time large vocabulary speech recognizer -S3.3: Tree lexicon, Histogram Pruning and Live-mode decoder (R. Mosur 1999) -S3.4 (released Jul 04): Fast GMM Computation , Phoneme look-ahead. (A. Chan 2004, this paper.) -S3.5 (will soon release): MLLR-based Speaker Adaptation , live-mode APIs, alignment, phoneme recognition, lattice rescoring, best path search in lattice. Sphinx 3.4: Fast GMM Computation 4-Level of GMM Computation Our approach: -Divide GMM computation in 4 levels -Implement representative techniques in each level -Inspired by 4-level state tying (Sagayama 95) Observation: In each level, full computation can be approximated by computing only parts of the components. Advantages: Provide a general framework of understanding fast GMM computation Experiment Summary: 1, CI-based GMM Selection seems to most effective. 2, Many Gaussian-level techniques seems to have too much overhead. Experiment Results Frame-Level: -Discount alternative frames -Down Sampling (Wycesna 95) GMM-Level: -Only compute important GMM. (e.g. w high ...

Library Orientation for Architecture Students Martin Aurand Architecture Librarian ma1f@andrew.cmu.edu
Tell a Vision: 3 Vignettes Denise A. Troll Ex-tinguished Fellow, Digital Library Federation Associate University Librarian, Carnegie Mellon DLF Forum – November 2001

Tell a Vision: 3 Vignettes Denise A. Troll Ex-tinguished Fellow, Digital Library Federation Associate University Librarian, Carnegie Mellon DLF Forum – November 2001

Google Print™, Million Book Project, and Google Scholar™ Digital Libraries Colloquium January 27, 2005 Gloriana St. Clair Dean of University Libraries

Google Print™, Million Book Project, and Google Scholar™ Digital Libraries Colloquium January 27, 2005 Gloriana St. Clair Dean of University Libraries

Wireless Infrastructure: Networks and Issues (2) H. Scott Matthews February 26, 2003

Wireless Infrastructure: Networks and Issues (2) H. Scott Matthews February 26, 2003

Group M3 Nick Marwaha Craig LeVan Jacob Thomas Darren Shultz Project Manager: Zachary Menegakis February 21, 2005 MILESTONE 5 Component Layout DSP 'Swiss Army Knife' Overall Project Objective: General Purpose Digital Signal Processing Chip

Will McHenry Maladau Mou Michael Overstreet Gi Jung Park 18-549 Embedded Systems Design February 1, 2008
GPS Waypoint Navigation Team M-2: Charles Norman (M2-1) Julio Segundo (M2-2) Nan Li (M2-3) Shanshan Ma (M2-4) Design Manager: Zack Menegakis

GPS Waypoint Navigation Team M-2: Charles Norman (M2-1) Julio Segundo (M2-2) Nan Li (M2-3) Shanshan Ma (M2-4) Design Manager: Zack Menegakis

Presentation 10: Top-Level Layout April 17, 2006 Overall Project Objective: Design a low-power chip that navigates an aircraft to pre-determined waypoints.
Team M1 Enigma Machine Milestone 10 - 17 April, 2006 Adithya Attawar (M11) Shilpi Chakrabarti (M12) Mike Sokolsky (M14)

Team M1 Enigma Machine Milestone 10 - 17 April, 2006 Adithya Attawar (M11) Shilpi Chakrabarti (M12) Mike Sokolsky (M14)

Design Manager: Prateek Goenka
Sprinkler Buddy Presentation #7: “Redesign of Adder Parts And Layout of Other Major Blocks” 3/07/2007

Sprinkler Buddy Presentation #7: “Redesign of Adder Parts And Layout of Other Major Blocks” 3/07/2007

Team M3 Kalyan Kommineni Kartik Murthy Panchalam Ramanujan Sasidhar Uppuluri Devesh Nema Design Manager: Bowei Gai “Low Cost Irrigation Management For Everyone ! ”
Encryption Transaction with 3DES Team W2 Yervant Dermenjian (W21) Taewan Kim (W22) Evan Mengstab (W23) Xiaochun Zhu (W24)

Encryption Transaction with 3DES Team W2 Yervant Dermenjian (W21) Taewan Kim (W22) Evan Mengstab (W23) Xiaochun Zhu (W24)

Objective: To implement a secure credit card transaction using 3DES encryption using Kerberos-style authentication. Current Stage: Final Changes 04/05/2004 Design Manager: Rebecca Miller
Bits, Bytes, and Integers August 29, 2007

Bits, Bytes, and Integers August 29, 2007

15-213 F’07 class02.ppt 15-213 “The Class That Gives CMU Its Zip!” Topics Representing information as bits Bit-level manipulations Boolean algebra Expressing in C Representations of Integers Basic properties and operations Implications for C
CS 15-447: Computer Architecture Lecture 23 Virtual Memory (2)

CS 15-447: Computer Architecture Lecture 23 Virtual Memory (2)

Sound Approximations to Diffie-Hellman using Rewrite Rules Christopher Lynch Catherine Meadows Naval Research Lab

Sound Approximations to Diffie-Hellman using Rewrite Rules Christopher Lynch Catherine Meadows Naval Research Lab

Open APIs for Embedded Security Carl A. Gunter OpEm Project University of Pennsylvania

Open APIs for Embedded Security Carl A. Gunter OpEm Project University of Pennsylvania

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