Computer Systems Lab TJHSST Current Projects InHouse, pt 5 - PowerPoint PPT Presentation

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Computer Systems Lab TJHSST Current Projects InHouse, pt 5

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The purpose of this project is to create an implementation of much of the kernel ... Machine learning allows the computer to create its own logical rules, and learn ... – PowerPoint PPT presentation

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Title: Computer Systems Lab TJHSST Current Projects InHouse, pt 5


1
Computer Systems LabTJHSSTCurrent
ProjectsIn-House, pt 5
2
Current Projects, pt. 5In-House
  • Linux Kernel Debugging API
  • Machine Learning Techniques for Game Playing
  • Part-of Speech Tagging with Corpora
  • Benchmarking of Cryptographic Algorithms
  • Resource Locking and Synchronization in the Linux
    Kernel
  • Maintenance of a Robust, Highly-Available
    Computer Systems Laboratory

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Linux Kernel Debugging APIThe purpose of this
project is to create an implementation of much of
the kernel API that functions in user space, the
normal environment that processes run in. The
issue with testing kernel code is that the live
kernel runs in kernel space, a separate area that
deals with hardware interaction and management of
all the other processes. Kernel spacedebuggers
are unreliable and very limited in scope a
kernel failure can hardly dump useful error
information because there's no operating system
left to write that information to disk.
3
4
Machine Learning Techniques for Game
PlayingMachine learning allows the computer to
create its own logical rules, and learn from its
past experiences. Machine Learning allows an AI
to increase its abilities over time, even without
additional direct programmer input. My project
hopes to develop a proficiency at Tic-Tac-Toe.
My project hopes to create a new algorithm for a
relatively simple game, Tic-Tac-Toe. Ideally,
this algorithm will be modified according to its
results to create better algorithms.
4
5
Part-of Speech Tagging with CorporaThe aim of
this project is to create and analyze various
methods of part-of-speech tagging. The corpora
used are of extremely limited size thus offering
less occasion to rely entirely upon tagging
patterns gleamed from predigested data. Methods
used to analyze the data and resolve tagging
ambiguities include Hidden Markov Models and
Bayesian Networks. Results are analyzed by
comparing the system-tagged corpus with a
professionally tagged one.
5
6
Analysis and Maintenance of a Robust,
Highly-Available Computer Systems
LaboratoryThis project is an exploration of one
possible environment that meets the criteria for
a "robust" and "highlyavailable" laboratory,
while still providing the students who work in
the lab with all of the required facilities. The
first goal was to determine exactly what those
criteria are, and exactly what "required
facilities" entails. This is must be executed for
each lab that is created in order to best fit the
systems design to the needs of the students and
staff.
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7
Benchmarking of Cryptographic AlgorithmsThe
author intends to validate theoretical
numbers by constructing empirical sets of
data on cryptographic algorithms. This
data will then be used to give factual
predictions on the security and efficiency
of cryptography as it applies to modern day
applications.
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Resource Locking and Synchronization in the Linux
KernelThe goal of the KDUAL project is to
create a C library which implements thekernel
Application Programming Interface (API) in
user-space and performs automatic debugging.
Sections of kernel code can then be compiled
against this library and run as ordinary programs
for convenient testing. This particular section
of the project aims to implement the kernel's
resource locking API with automatic detection of
deadlock situations. Locking will be implemented
in two parts-the core algorithms, with their
ownAPI designed to be convenient for the
developers, and simple glue code bridging that
API to the kernel API.
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