Abstract The authors present a generative adversarial network (GAN) model that demonstrates how to generate 3D models in their native format so they can be either evaluated using complex simulation environments or realized methods such as additive manufacturing. Once initially trained, the GAN create additional training data itself by generating new designs, evaluating them physics-based virtual environment, and adding high performing ones set. A case study involving is trained on 4045...

A significant problem in Massive Open Online Courses (MOOCs) is the high rate of student dropout these courses. An effective prediction model MOOC courses can identify factors responsible and provide insight on how to initiate interventions increase success a MOOC. Different features various approaches are available for In this paper, data derived from self-paced math course, College Algebra Problem Solving, offered platform edX partnering with Arizona State University (ASU) 2016 2020...

Recent advancements in reinforcement learning techniques demonstrate an ability to make decisions high dimen-sional state spaces and complex real-time strategy games. In contrast supervised which features large data sets, there are relatively few existing environments for training rein-forcement agents. addition, small differences re-wards or action can drastically change the difficulty results of environments. Benchmarks seek tackle both these challenges by creating common environments,...

Abstract This work investigates surrogate modeling techniques for learning to approximate a computationally expensive function evaluation of 3D models. While in the past, point clouds have been data format that is too high dimensional modeling, by leveraging advances object autoencoding neural networks, these can be mapped one-dimensional latent space. leads fundamental research question: what technique most suitable relationships between geometric features objects captured encoded vector...

The strength properties of structural epoxy adhesives at elevated temperatures is experimentally determined. Finite element analysis thermal gradients in typical columns provided. Both the ASTM E-119 and SDHI time-temperature fire exposure curves are considered evaluating ratings repaired concrete components. relationship between strength, duration exposure, type provided both graphical tabular form.

Wearable robotics bring the opportunity to augment human capability and performance, be it through prosthetics, exoskeletons, or supernumerary robotic limbs. The latter concept allows enhancing performance assisting them in daily tasks. An important research question is, however, whether use of such devices can lead their eventual cognitive embodiment, allowing user adapt seamlessly as any other limb own. This paper describes creation a platform investigate this. Our 3 <sup...

Abstract This work presents a deep reinforcement learning (DRL) approach for procedural content generation (PCG) to automatically generate three-dimensional (3D) virtual environments that users can interact with. The primary objective of PCG methods is algorithmically new in order improve user experience. Researchers have started exploring the use machine (ML) content. However, these approaches frequently implement supervised ML algorithms require initial datasets train their generative...

Safety-critical failures often have fatal consequences in aerospace control. Control systems on aircraft, therefore, must ensure the strict satisfaction of safety constraints, preferably with formal guarantees safe behavior. This paper establishes safety-critical control fixed-wing aircraft collision avoidance and geofencing tasks. A framework is developed wherein a run-time assurance (RTA) system modulates nominal flight controller whenever necessary to prevent it from colliding other or...

In this paper, we present a method that uses physics-based virtual environment to evaluate the feasibility of neural network-based generated designs. Deep learning models rely on large training data sets are used for training. These typically validated by human designers have conceptual understanding problem being solved. However, requirement severely constrains size and availability computer due manual process either creating or labeling such sets. Furthermore, there may be...

A survey of operational aerospace plasma facilities was performed. Plasma devices for include multi-segment, Huels or vortex-stabilized, magnetically-stabilized, induction-coupled and magnetoplasmadynamic heaters. Performance comparisons characterization issues these heaters are discussed. Changes trends in the further development These extensive utilization non-intrusive diagnostic techniques such as laser-induced fluorescence to characterize arcjet flowstream. This is expected lead systems...

Hyperechogenicity of the substantia nigra (SN) in "butterfly shaped" midbrain is a widely recognized diagnostic marker to differentiate between early stages Parkinsons Disease (PD) and other diseases which cause parkinsonian symptoms. While clinical differentiation these can be difficult, hyperechogenicity SN only common PD patients. Transcranial B-mode Ultrasound Imaging (TCUI) has become heavily relied upon method detect echogenicity brain. standard imaging show presence hyperechogenicity,...

Toys have a very important role in society. Play is vitally part of every child's life, providing not only entertainment but also influencing the psychological, physiological and social development child. Throughout years, toys reflected generation's advances technology. In this paper wireless technologies, low power computing sensing are used to expand capabilities existing toys. The proposed framework first step towards vision enabled gesture recognition, emotion assessment, as well useful...

Visually impaired and blind (VIB) people as a community face several access barriers when using technology. For users of specialist technology, such digital audio workstations (DAWs), these become increasingly complex—often stemming from vision-centric approach to user interface design. Haptic technologies may present opportunities leverage the sense touch address barriers. In this article, we describe participant study involving interviews with twenty VIB sound creatives who work DAWs....

Power grids that are interdependent with communication networks create more possible modes of failure (e.g., cyberattacks) as well complex propagation through the coupled networks. To ensure robust defense smart grids, it is important to model both attacker and defender intelligent, a scenario framework game theory provides methods analyze. However, prior works in applying theoretic models grid security limit problem space small number targets under threat due inability state-of-the-art...

The differential diagnosis of idiopathic Parkinson's Disease (iPD) from atypical parkinsonian syndromes can be very difficult at the early stages these diseases. Trancranial Ultrasound Imaging (TCUI) Substantia Nigra (SN) is one method that has been shown to aide in this diagnosis. TCUI done detect hyperechogenicity SN, which defined as an echogenic area above a threshold size 0.2 cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> ....

Abstract The objective of this work is to present an initial investigation the impact Connected Learning and Integrated Course Knowledge (CLICK) approach has had on students’ motivation, engineering identity, learning outcomes. CLICK that leverages Virtual Reality (VR) technology provide integrative experience in Industrial Engineering (IE) curriculum. To achieve integration, aims leverage VR modules simulate a variety systems. offer immersive context for real-life applications. virtual...

The difference between the early stages of Parkinson's Disease (PD) and other diseases with similar symptoms is quite difficult to discern. Thus, hyperechogenicity Substantia Nigra (SN) revealed in ultrasound imaging has become a standard diagnostic marker for accurately diagnosing PD, as it only common PD patients. This resulted Transcranial B-mode Ultrasound Imaging (TCUI) becoming widely used tactic diagnosis naturally well-suited detect echogenicity. accepted cutoff an echogenic area...

Generative neural networks (GNNs) have successfully used human-created designs to generate novel 3D models that combine concepts from disparate known solutions, which is an important aspect of design exploration. GNNs automatically learn a parameterization (or latent space ) space, as opposed alternative methods manually define parameterization. However, are typically not evaluated using explicit notion physical performance, critical capability needed for design. This work bridges this gap...

This work presents a deep neural network method for approximating the performance of generated design concepts. learning meta-modeling approach minimizes need costly simulations that test concept feasibility by discovering visual features correlated to good and bad performance. These form-function relationships are discovered simply observing pixels images many candidate designs their corresponding in simulation environment. As opposed existing metamodeling techniques, this evaluation is...

During the early stage of disease, idiopathic Parkinson's Disease can be very difficult to differentiate from atypical parkinsonian syndromes. Hyperechogenicity in substantia nigra is one marker that has been shown help make this differential diagnosis, and Transcranial Ultrasound Imaging preferred method for detecting SN hyperechogenicity. defined as an echogenic area larger than 0.2cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> ....