3,320 research outputs found

    Bio-inspired Fitted End-effector Design to Secure Wearer’s Natural Movement and Wearability

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    Nowadays, the number of people with gait disorder as one of post-stroke symptom is gradually, and continuously increasing. For these people to have similar Activities of Daily Living (ADL) as people without gait disorder, active knee assistance is essential. This requirement is coming to the surface. The philosophy of assisting robots this paper presents is that assistant robots should only help people, while not disturbing the wearers’ natural movement. For this philosophy, robot hardware has to be well-constructed before application of any kind of control algorithm. Therefore, for flexion angle from 0 to 90 degrees, knee assistant robot hardware is proposed to secure natural movement of patellar and while minimizing force between tibia and femur in this paper

    Franny Choi, 41st Annual ODU Literary Festival

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    Franny Choi is a queer, Korean-American poet, playwright, teacher, organizer, pottymouth, GryffinClaw, and general overachiever. She is the author of Floating, Brilliant, Gone (2014), and a chapbook, Death by Sex Machine (2017). She has received awards from the Poetry Foundation and the Helen Zell Writers Program, as well as fellowships from the Vermont Studio Center and the Rhode Island State Council on the Arts. Her poems have appeared in journals including Poetry magazine, American Poetry Review, New England Review, and her work has been featured by the Huffington Post, PBS NewsHour, and Angry Asian Man

    CreativeConnect: Supporting Reference Recombination for Graphic Design Ideation with Generative AI

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    Graphic designers often get inspiration through the recombination of references. Our formative study (N=6) reveals that graphic designers focus on conceptual keywords during this process, and want support for discovering the keywords, expanding them, and exploring diverse recombination options of them, while still having room for designers' creativity. We propose CreativeConnect, a system with generative AI pipelines that helps users discover useful elements from the reference image using keywords, recommends relevant keywords, generates diverse recombination options with user-selected keywords, and shows recombinations as sketches with text descriptions. Our user study (N=16) showed that CreativeConnect helped users discover keywords from the reference and generate multiple ideas based on them, ultimately helping users produce more design ideas with higher self-reported creativity, compared to the baseline system without generative pipelines. While CreativeConnect was shown effective in ideation, we discussed how CreativeConnect can be extended to support other types of tasks in creativity support. © 2024 Copyright held by the owner/author(s

    Modeling and analysis of high-speed through silicon via (TSV) channel and defects

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    Through silicon via (TSV) based 3DIC has allowed vertical integration of multiple dies for wide I/O configuration. With thousands of TSVs, data transfer rate can be reduced, while maintaining the highest bandwidth compared to the systems in conventional integrated chips and packages. The challenges lie on high yield fabrication process. The trend in dimension of TSV is continuously decreasing, which also causes bumps and redistribution layer (RDL) to be reduced for routing high number of OI/Os. In this paper, we present the equivalent circuit models and analyze the TSV channels for investigation of the effect of possible defects. The verified models are used for characterizing the defects in TSV channel, and we validate the failure analysis method with electrical characteristic analysis in frequency domain with S-parameter plots as well as time-domain waveforms with TDR

    Eye-Diagram Estimation with Stochastic Model for 8B/10B Encoded High-Speed Channel

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    This paper proposes an eye-diagram estimation method for 8B/10B encoded channel. The stochastic model describes the encoder with respect to probability, which replaces the practical encoder. Because the 8B/10B encoder consists of 3-to-4 and 5-to-6 look-up-table (LUTs), they can be represented as its own stochastic model. For verification, we compare the statistical eye-diagram by the proposed method and the SPICE at the same data rate. The changes on the eye-diagram for both cases are nearly the same by the encoder. Therefore, the proposed method successfully achieves the eye-diagram evaluation for the 8B/10B encoded high-speed channel

    PANDA: Expanded Width-Aware Message Passing Beyond Rewiring

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    Recent research in the field of graph neural network (GNN) has identified a critical issue known as “over-squashing,” resulting from the bottleneck phenomenon in graph structures, which impedes the propagation of long-range information. Prior works have proposed a variety of graph rewiring concepts that aim at optimizing the spatial or spectral properties of graphs to promote the signal propagation. However, such approaches inevitably deteriorate the original graph topology, which may lead to a distortion of information flow. To address this, we introduce an expanded width-aware (PANDA) message passing, a new message passing paradigm where nodes with high centrality, a potential source of over-squashing, are selectively expanded in width to encapsulate the growing influx of signals from distant nodes. Experimental results show that our method outperforms existing rewiring methods, suggesting that selectively expanding the hidden state of nodes can be a compelling alternative to graph rewiring for addressing the over-squashing
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