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An investigation of the search space of Lenat's AM program

Creator:: Mishra, Prafulla K.
Abstract:: AM is a computer program written by Doug Lenat that discovers elementary mathematics starting from some initial knowledge of set theory. The success of this program is not clearly understood. This work is an attempt to explore the search space of AM in order to understand the success and eventual...
Resource Type:: Masters Thesis
Full Text:: appreciate careful reading of the thesis and useful comments by Giuseppe Cerbone and Jim Holloway. I also

A specialized ATMS for equivalence relations

Creator:: Koff, Caroline Nan
Abstract:: A specialized ATMS for efficiently computing equivalence relations in multiple contexts is introduced. This specialized ATMS overcomes the problems with existing solutions to reasoning with equivalence relations. The most direct implementation of an equivalence relation in the ATMS-encoding the reflexive, transitive, and symmetric rules in the consumer architecture-produces redundant equality...
Resource Type:: Masters Thesis
Full Text:: label-update algorithm (Section 2.3.3). I would like to thank Jim Holloway, Giuseppe Cerbone, and

Evaluation of the predictive capability of two-phase flow maps for microchannel condensation of R-134a at low mass flux conditions

Creator:: VanderPutten, Michael A.
Abstract:: Predicting condensation flow regimes and the associated heat transfer and pressure drop in microchannels is critical for designing terrestrial and space systems for heating, cooling, power generation, and advanced manufacturing. It is well established that in flows approaching the microscale (Dh < 1 mm) gravity-dominated flow regimes become less relevant,...
Resource Type:: Masters Thesis
Full Text:: refrigerants at large mass fluxes (G > 100 kg-m-2-s-1). Fluid visualization results from these studies have

Nature of the inheritance of gluten strength and carotenoid pigment content in winter by spring and durum wheat crosses (Triticum turgidum L. Var. durum)

Creator:: Ammar, Karim
Abstract:: Durum wheat cultivars for North-Eastern Oregon have to be competitive in terms of their yield potential with soft white winter wheat cultivars and meet strict quality requirements of the milling industry. Combining the high yield potential of fall planted durum wheat cultivars which have an acceptable level of winter hardiness...
Resource Type:: Masters Thesis

SPICE models for flicker noise in p-MOSFET's and phase noise effects on oscillator circuits

Creator:: Zhou, Junlin, 1973-
Resource Type:: Masters Thesis
Full Text:: is described, by Giuseppe Massobrio and Paolo Antognetti [58] in the book "Semiconductor device

Leveraging Multiple Transmissions and Receptions for Channel-Agnostic Wireless Device Identification

Creator:: Basha, Nora
Abstract:: Enabling accurate and automated identification of wireless devices is critical for ensuring secure and authenticated data communication in large-scale networks such as IoT networks. In the aim of devising practical identification techniques that are immune to spoofing, hardware-driven RF fingerprinting using deep neural networks, which leverages the inevitable presence of...
Resource Type:: Masters Thesis

Efficient Public Key Cryptography Frameworks for Emerging IoT Applications

Creator:: Ozmen, Muslum Ozgur
Abstract:: Internet of Things (IoT) is an integral part of application domains such as smart-home, digital healthcare, smart grid systems and vehicular networks. Various standard public key cryptography techniques (e.g., key exchange, public key encryption, digital signature) are available to provide fundamental security services for IoTs. However, despite their pervasiveness and...
Resource Type:: Masters Thesis
Full Text:: ECDH private/public key pair by 7 Table 2.1: Notation followed to describe schemes. G Generator

Location Assisted Coding (LAC)

Creator:: Nguyen, Thuan
Abstract:: The recent increase in the number of wireless devices has been driven by the growing markets of smart homes and the Internet of Things (IoT). Consequently, current research has focused on efficient utilization of the radio frequency (RF) spectrum to accommodate such an increase in wireless bandwidth. Alternatively, latest free-space...
Resource Type:: Masters Thesis

Towards Long Short Term Memory Based Proactive In-Network Caching for Cloud RANs

Creator:: Tirupathi, Chittibabu
Abstract:: The rapid population growth in large urban cities has led to an unprecedented increase in both the number and the diversity of wireless devices and applications with varying quality of service requirements in terms of latency and data rates. LinkNYC is an example of an urban communication network infrastructure, which...
Resource Type:: Masters Thesis

Poisoning machine learning models to increase membership inference risks

Creator:: Le, Hoang
Abstract:: Deep learning is now being utilized widely in applications where sensitive data is being used for model training, for example, in health care. In this scenario, any data leakage will cause privacy concerns to whose data records are used to train the model. An attacker can actively cause privacy leakage...
Resource Type:: Masters Thesis
Full Text:: . In International Conference on Learn- ing Representations, 2021. [13] Charles G. Gross. Learning

ScholarsArchive@OSU

An investigation of the search space of Lenat's AM program

A specialized ATMS for equivalence relations

Evaluation of the predictive capability of two-phase flow maps for microchannel condensation of R-134a at low mass flux conditions

Nature of the inheritance of gluten strength and carotenoid pigment content in winter by spring and durum wheat crosses (Triticum turgidum L. Var. durum)

SPICE models for flicker noise in p-MOSFET's and phase noise effects on oscillator circuits

Leveraging Multiple Transmissions and Receptions for Channel-Agnostic Wireless Device Identification

Efficient Public Key Cryptography Frameworks for Emerging IoT Applications

Location Assisted Coding (LAC)

Towards Long Short Term Memory Based Proactive In-Network Caching for Cloud RANs

Poisoning machine learning models to increase membership inference risks

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