Applications of a U-Net Variant Neural Network: Image Classification for Vegetation Component Identification in Outdoors Images and Image to Image Translation of Ultrasound Images

Convolutional Neural Networks have been applied in many image applications, for both supervised and unsupervised learning. They have shown their ability to be used in an array of diverse use cases which include but are not limited to image classification, segmentation, and image enhancement tasks. We make use of Convolutional Neural Networks\u27 ability to perform well in these situations and propose an architecture for a Convolutional Neural Network based on a network known as U-Net. We then apply our proposed network to two different tasks, a vegetation classification task for images of outdoors environment, and an image to image translation task for ultrasound images. For the vegetation classification task we make use of our previous work of a green vegetation filter that is used to annotate our data set and then use images that are converted to gray scale to pair with the annotations from the green vegetation filter in order to train our proposed network to classify where generic vegetation appears in an image. For the ultrasound image to image translation task, we show that our proposed network can be used as part of a system which is composed of a set of neural networks, called CycleGAN, that is used to translate ultrasound images from images acquired by a low frequency transducer to an image domain of ultrasound images acquired by a high frequency transducer. We propose using an approach that trains our proposed network to learn local estimations of the two image domains and detail a filtering process that when applied to an ultrasound image, acquired from a low frequency transducer, gives the low frequency transducer ultrasound image the appearance that it was acquired from a high frequency transducer

How I Learned To Ride A Horse

My first day in the corral at Ft. Riley, Kansas, World\u27s Largest Cavalry Post, was one filled with apprehension and dread. Learning to ride a horse was the objective of each rookie in the troop that day. The animal I was assigned to ride appeared like an elephant in size, with a reverse hump in his back. But that, the drill sergeant informed me, was the saddle

Spontaneous countermeasures during polygraph examinations: an apparent exercise in futility

The frequency and effects of spontaneous countermeasures against a polygraph examination were examined in a mock employment screening study. Eighty subjects were debriefed concerning their use of spontaneous countermeasure following the completion of their Relevant-irrelevant employment screening polygraph examination. Overall, 53.8% of the participants reported the use of at least one spontaneous countermeasure. In a departure from other studies in this area, 30% of the truthful subjects reported trying some intervention in an effort to make themselves look more truthful. An ANOVA revealed neither main effects nor interactions involving the use of a spontaneous countermeasure

Assessment of Personality through Behavioral Observations in Work Simulations

This study outlines the development of a rating scale designed to measure personality-related behavior in the context of work simulations. The tool, labeled the Work Simulation Personality Rating Scale (WSPRS), was validated in an assessment center by rating the personality of 123 assessment center participants. Scores from the WSPRS were correlated with corresponding traits from a self-reported personality inventory, and a Trait Activation Potential (TAP) framework was adopted to predict which traits would display best convergence based on assessment center observations. Correlations between the WSPRS dimensions and self-report trait scales ranged from .11 (Neuroticism) to .31 (Extraversion), with the rank-order of convergence exactly reproducing the ordering of the TAP judgments made by the experts

Horizontal Gaze Nystagmus Test: The State of the Science in 1995

The horizontal gaze nystagmus test (HGNT) is one component of field sobriety testing conducted by police officers to determine whether a suspect is intoxicated. The HGNT is the centerpiece of the National Highway Traffic and Safety Administration\u27s (NHTSA) Standardized Field Sobriety Tests. The walk-and-turn test and the one-leg-stand test are also included in this three-test battery of field sobriety tests. Prior to the NHTSA funded work at standardizing field sobriety testing, roadside tests were selected and administered according to personal preferences. Today, however, many police agencies and officers use the standardized three-test battery that resulted from NHTSA\u27s work. Although the HGNT is used in conjunction with the walk-and-turn and the one-leg-stand tests, this discussion will focus solely on the HGNT due to the recent decision by the North Dakota Supreme Court in City of Fargo v. McLaughlin

Effects of juror and expert witness gender on jurors\u27 perceptions of an expert witness

This study examined the effects of juror and expert witness gender on jurors\u27 perceptions of an expert witness. Undergraduate psychology students completed the Bern Sex Role Inventory and then read an edited trial transcript of an armed robbery case. The trial transcript contained expert testimony from a polygraph examiner. In half of the transcripts the expert was male and in the other half the expert was female. Subjects were then asked to render a verdict and answer questions about their perceptions of the witnesses and the trial. No significant effects were found in either the verdicts or the questionnaire responses regarding the expert witness\u27s credibility. The results of this study suggest that expert witness and juror gender do not have a major effect on the jurors\u27 perception of the expert witness. However, these results may be limited because the subjects were all university students of a similar socioeconomic stratum

Time and Encoding Effects in the Concealed Knowledge Test

Although the traditional “lie detector” test is used frequently in forensic contexts, it has (like most test of deception) some limitations. The concealed knowledge test (CKT) focuses on participants’ recognition of privileged knowledge rather than lying per-se and has been studied extensively using a variety of measures. A “guilty” suspect’s interaction with and memory of crimescene items may vary. Furthermore, memory for crimescene items may diminish over time. The interaction of encoding quality and test delay on CKT efficiency has been previously implied, but not yet demonstrated. We used a response-time based CKT to detect concealed knowledge from shallow and deep study procedures after 10-min, 24-h, and 1-week delays. Results show that more elaborately encoded information afforded higher detection accuracy than poorly encoded items. Although classification accuracy following deep study was unaffected by delay, detection of poorly elaborated information was initially high, but compromised after 1 week. Thus, choosing optimal test items requires considering both test delay and initial encoding level