Warpage deformation analysis of AMB ceramic substrates in power modules

Driven by the increasing demand for high-power systems, ceramic substrates have received more attention for handling higher power density. Warpage in active metal brazed (AMB) ceramic substrate becomes a critical issue as it can deteriorate the reliability performance. This study comprises three phases, including investigation of the cause of...

Assessing the vulnerability of a Dutch river dyke to rising water levels

Dykes provide protection from the risk of flooding to approximately 60% of the Netherlands, by area. Unfortunately, most of the country’s major cities lie within this zone, placing a large proportion of the population at risk should these flood defences fail. In total the Netherlands have over 3800 km of primary flood defences protecting the...

To Trust or Not To Trust: How a Conversational Interface Affects Trust in a Decision Support System

Trust is an important component of human-AI relationships and plays a major role in shaping the reliance of users on online algorithmic decision support systems. With recent advances in natural language processing, text and voice-based conversational interfaces have provided users with new ways of interacting with such systems. Despite the...

CIM-based Robust Logic Accelerator using 28 nm STT-MRAM Characterization Chip Tape-out

Spin-transfer torque magnetic random access memory (STT-MRAM) based computation-in-memory (CIM) architectures have shown great prospects for an energy-efficient computing. However, device variations and non-idealities narrow down the sensing margin that severely impacts the computing accuracy. In this work, we propose an adaptive referencing...

Real-time Sensing and NeuroFeedback for Practicing Meditation Using simultaneous EEG and Eye Tracking

Next-generation intelligent health-monitoring systems have been ushered in by mobile phones with robust computation power, affordable high-resolution cameras, and embedded wearable sensors. Wearable Electroencephalography (EEG) headset to record brain signals with simultaneous eye tracking using a mobile front camera can become a powerful tool...

UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning

VDN and QMIX are two popular value-based algorithms for cooperative MARL that learn a centralized action value function as a monotonic mixing of per-agent utilities. While this enables easy decentralization of the learned policy, the restricted joint action value function can prevent them from solving tasks that require significant coordination...

Second chance for a first impression? Trust development in intelligent system interaction

There is a growing use of intelligent systems to support human decision-making across several domains. Trust in intelligent systems, however, is pivotal in shaping their widespread adoption. Little is currently understood about how trust in an intelligent system evolves over time and how it is mediated by the accuracy of the system. We aim to...

Power Curve Analysis Of Airborne Wind Energy Systems

Data-driven improvement of flight training safety at Purdue University

The School of Aviation and Transportation Technology at Purdue University utilizes a wide range of resources to train aspiring pilots, technicians, and managers. Aircraft operate in one of four practice areas located within a 30 nautical mile radius of the Purdue University Airport. Due to factors such as poor weather conditions, inexperience of...

Modeling and Control of Magnus Effect-Based AWE Systems

Mutual-Friction Coefficients in Two-Dimensional Superfluids: From the Gross-Pitaevskii equation to the Hall-Vinen-Bekharevich-Khalatnikov Two-fluid Model

We start from the two-dimensional Gross-Pitaevskii equation (GPE) and develop algorithms for the ab-initio determination of the temperature (T) dependence of the mutual-friction coefficients, α and α, and the normal-fluid density Pn, which appear as parameters in the Hall-Vinen-Bekharevich-Khalatnikov (HVBK) two-fluid model for a superfluid. In...

Universal Statistical Properties of Inertial-particle Trajectories in Three-dimensional, Homogeneous, Isotropic, Fluid Turbulence

We obtain new universal statistical properties of heavy-particle trajectories in three-dimensional, statistically steady, homogeneous, and isotropic turbulent flows by direct numerical simulations. We show that the probability distribution functions (PDFs) P(Φ), of the angle Φ between the Eulerian velocity u and the particle velocity v, at a...

The governance of large dams: A new research area

Our current familiarity with large infrastructures, the place they hold in the landscape and the roles they play in modern living combine to make us lose sight of their long-term, system-wide effects. In this paper, the action of the large infrastructures of dams in structuring both the biophysical and the societal environment in which they...

A patient-specific visualization tool for comprehensive analysis of coronary CTA and perfusion MRI data

Cardiac magnetic resonance perfusion imaging (CMR) and computed tomography angiography (CTA) are widely used to assess heart disease. CMR is used to measure the global and regional myocardial function and to evaluate the presence of ischemia; CTA is used for diagnosing coronary artery disease, such as coronary stenoses. Nowadays, the hemodynamic...

Fatigue damage in randomly vibrating jack-up platforms under non-Gaussian loads

Effects of spar coupled analysis