Poker Bluff Detection Dataset Based on Facial Analysis

Poker is a high-stakes game involving a deceptive strategy called bluffing and is an ideal research subject for improving high-stakes deception detection (HSDD) techniques like those used by interrogators. Multiple HSDD studies involve staged scenarios in controlled settings with subjects who were told to lie. Scenarios like staged interrogations are inherently poor data sources for HSDD because the subjects will naturally respond differently than someone who actually risks imprisonment, or in the case of poker, loses great sums of money. Thus, unstaged data is a necessity. Unlike traditional HSDD methods involving invasive measurement of biometric data, using video footage of subjects allows for analyzing people’s natural deceptions in real high-stakes scenarios using facial expressions. Deception detection generalizes well for different high-stakes situations, so the accessibility of data in videos of poker tournaments online is convenient for research on this subject. In the hopes of encouraging additional research on real-world HSDD, we present a novel in-the-wild dataset using four different videos from separate professional poker tournaments, totaling 48 minutes. These videos contain great variety in head poses, lighting conditions, and occlusions. We used players’ cards and bets to manually label bluffs and then extracted facial expressions in over 31,000 video frames containing face images from 25 players. We used the dataset to train a state-of-the-art convolutional neural network (CNN) to identify bluffing based on face images, achieving high accuracy for a baseline model. We believe this dataset will allow future in-the-wild bluff detection research to achieve higher deception detection rates, which will enable the development of techniques for more practical applications of HSDD such as in police interrogations and customs inspections.https://orb.binghamton.edu/research_days_posters_2021/1028/thumbnail.jp

Reference Electrode at Molten Salt: A Comparative Analysis of Electroceramic Membranes

A reference electrode is important for controlling electrochemical reactions. Evaluating properties such as the reduction potential of the elements is necessary to optimize the electrochemical processes in pyroprocessing, especially in a multicomponent environment. In molten chloride systems, which are widely used in pyroprocessing, a reference electrode is made by enclosing the silver wire and molten salt solution containing silver chloride into the membranes. However, owing to the high temperature of the molten salt, the choice of the membrane for the reference electrode is limited. In this study, three types of electroceramic, mullite, Pyrex, and quartz, were compared as reference electrode membranes. They are widely used in molten salt electrochemical processes. The potential measurements between the two reference electrode systems showed that the mullite membrane has potential deviations of approximately 50 mV or less at temperatures higher than 650??C, Pyrex at temperatures lower than 500??C, and quartz at temperatures higher than 800??C. Cyclic voltammograms with different membranes showed a significant potential shift when different membranes were utilized. This research demonstrated the uncertainties of potential measurement by a single membrane and the potential shift that occurs because of the use of different membranes

Instability Study of Magnetic Journal Bearing under S-CO2 Condition

A supercritical CO2 (S-CO2)-cooled Brayton cycle is under development for distributed power applications for remote regions. In order to successfully develop it, issues of controlling shaft levitation with bearings have to be solved. From several studies, magnetic bearings have been suggested for reliable levitation performance with reduced cost and complexity. However, several studies on magnetic bearing show that instability issues under high-pressure fluid and high-speed operating conditions may exist. The purpose of this research is to provide background for understanding the instability of magnetic bearings under S-CO2 conditions and propose functional requirements of the magnetic bearing. Thus, the rotating shaft with magnetic bearings operating under high pressure fluid was first analyzed. To test the theory, a magnetic bearing test rig was constructed. By comparing experimental data to the analysis results, the analysis results were verified. Therefore, the analysis results can be used for predicting instability in the future and can contribute to the development of better magnetic bearing controllers

In-situ measurement of Ce concentration in high-temperature molten salts using acoustic-assisted laser-induced breakdown spectroscopy with gas protective layer

An advanced nuclear reactor based on molten salts including a molten salt reactor and pyroprocessing needs a sensitive monitoring system suitable for operation in harsh environments with limited access. Multi-element detection is challenging with the conventional technologies that are compatible with the in-situ operation; hence laser-induced breakdown spectroscopy (LIBS) has been investigated as a potential alternative. However, limited precision is a chronic problem with LIBS. We increased the precision of LIBS under high temperature by protecting optics using a gas protective layer and correcting for shot-to-shot variance and lens-to-sample distance using a laser-induced acoustic signal. This study investigates cerium as a surrogate for uranium and corrosion products for simulating corrosive environments in LiCl–KCl. While the un-corrected limit of detection (LOD) range is 425–513 ppm, the acoustic-corrected LOD range is 360–397 ppm. The typical cerium concentrations in pyroprocessing are about two orders of magnitude higher than the LOD found in this study. A LIBS monitoring system that adopts these methods could have a significant impact on the ability to monitor and provide early detection of the transient behavior of salt composition in advanced molten salt-based nuclear reactors