Member Tips – 217

Forums Some things I noticed Member Tips – 217

This topic contains 210 replies, has 1 voice, and was last updated by  josh July 11, 2020 at 4:15 pm.

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  • #57362

    josh

  • #57364

    josh

  • #57366

    josh

  • #57368

    josh

  • #57372

    josh

    person and N IT

    https://www.linkedin.com/in/daniel-cameron-b9a74713/

  • #57374

    josh
  • #57376

    josh

    person and N IT

  • #57377

    josh

  • #57380

    josh

  • #57382

    josh

    https://ieeexplore.ieee.org/document/5420485/citations?tabFilter=papers#citations

    I was thinking about this Q: Appendage designs that can mechanically lock in various positions would have a lot more energy efficiency than a design that had to keep applying motor torque to hold a position. That ability, with medium quick response, might be supported by the flexor/extensor design – not the only solution, but perhaps an interesting angle.

  • #57386

    josh

    https://www.linkedin.com/in/carlosbaena2019/detail/contact-info/

    This id is known for film/animation but I also just saw a great commercial for the interesting clicbot robot & he was noted for contributing to that project as well.

  • #57387

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  • #57409

    josh

    Scandanavian Prince William of today

  • #57411

    josh

  • #57413

    josh

    person – penalty for N IT

  • #57415

    josh

    person – penalty for N IT

  • #57418

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  • #57426

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  • #57428

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  • #57430

    josh

    person – penalty for N IT

  • #57431

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    ?

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  • #57458

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  • #57459

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  • #57462

    josh

  • #57464

    josh

    Mexico is more roomy than the SS Minnow.

  • #57465

    josh

  • #57468

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  • #57469

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  • #57472

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  • #57473

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  • #57476

    josh

  • #57477

    josh

    Lausen, A., Hammerschmidt, K. Emotion recognition and confidence ratings predicted by vocal stimulus type and prosodic parameters. Humanit Soc Sci Commun 7, 2 (2020). https://doi.org/10.1057/s41599-020-0499-z

  • #57479

    josh

    Abstract Syntax as Interlingua: Scaling Up the Grammatical Framework from Controlled Languages to Robust Pipelines
    Aarne Ranta, Krasimir Angelov, Normunds Gruzitis and Prasanth Kolachina

    Posted Online July 02, 2020
    https://doi.org/10.1162/coli_a_00378

  • #57480

    josh

    Linguistic Fundamentals for Natural Language Processing: 100 Essentials from Morphology and Syntax (Synthesis Lectures on Human Language Technologies) Paperback – June 1, 2013
    by Emily M. Bender (Author)
    ISBN-10: 1627050116
    ISBN-13: 978-1627050111

  • #57482

    josh

    Evaluating Computational Language Models with Scaling Properties of Natural Language
    Shuntaro Takahashi and Kumiko Tanaka-Ishii

    Posted Online October 07, 2019
    https://doi.org/10.1162/coli_a_00355

    (maybe interesting to look at letter chunks too)

  • #57484

    josh

    Combining Deep Learning and Argumentative Reasoning for the Analysis of Social Media Textual Content Using Small Data Sets
    Oana Cocarascu and Francesca Toni

    Posted Online December 26, 2018
    https://doi.org/10.1162/coli_a_00338

  • #57486

    josh

    The Influence of Context on the Learning of Metrical Stress Systems Using Finite-State Machines
    Cesko Voeten and Menno van Zaanen

    Posted Online June 25, 2018
    https://doi.org/10.1162/coli_a_00317

  • #57487

    josh

    Bône, A., Colliot, O. & Durrleman, S. Learning the spatiotemporal variability in longitudinal shape data sets. Int J Comput Vis (2020). https://doi.org/10.1007/s11263-020-01343-w

  • #57489

    josh

    Gadelha, M., Rai, A., Maji, S. et al. Inferring 3D Shapes from Image Collections Using Adversarial Networks. Int J Comput Vis (2020). https://doi.org/10.1007/s11263-020-01335-w

    https://www.linkedin.com/in/matheusgadelha/

  • #57490

    josh

    Bian, J., Lin, W., Liu, Y. et al. GMS: Grid-Based Motion Statistics for Fast, Ultra-robust Feature Correspondence. Int J Comput Vis 128, 1580–1593 (2020). https://doi.org/10.1007/s11263-019-01280-3

  • #57492

    josh

    Ramasinghe, S., Khan, S., Barnes, N. et al. Representation Learning on Unit Ball with 3D Roto-translational Equivariance. Int J Comput Vis 128, 1612–1634 (2020). https://doi.org/10.1007/s11263-019-01278-x

    https://www.linkedin.com/in/sameeraramasinghe/?originalSubdomain=lk

  • #57495

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  • #57503

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  • #57508

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  • #57509

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  • #57511

    josh

    Scalable Electrically Conductive Spray Coating Based on Block Copolymer Nanocomposites
    Junpyo Kwon, Katherine Evans, Le Ma, Daniel Arnold, M. Erden Yildizdag, Tarek Zohdi, Robert O. Ritchie, and Ting Xu
    ACS Applied Materials & Interfaces 2020 12 (7), 8687-8694
    DOI: 10.1021/acsami.9b20817

  • #57515

    josh

    https://www.linkedin.com/in/kevin-krogman-4b48b370/

    Layer-by-Layer (LbL) Electrostatic Self-Assembly at the Industrial Scale

    By Kevin Krogman, founder, Svaya Nanotechnologies

    Lee Boman, Director of the Eastman Chemical Palo Alto Advanced Technology Center

    Abstract:

    Twenty-five years after the first laboratory research describing the Layer-by-Layer technique of producing nanoscale thin-film coatings appeared, the field has generated hundreds of graduate theses, more than ten thousand journal publications, and even a few companies. For years, however, this technology has been confined to the bench-top, functionalizing surfaces with a wide range of properties from electrical performance to gas separation, catalysis to drug delivery, light management to water management, to name a few, but rarely more than a few square inches in size.

    Only in recent years has the true potential of Layer-by-Layer (LbL) been unlocked as the technology was adapted to a roll-to-roll platform. While the principles of web handling and spray-coating are well understood by the coating world, the traditionally time intensive practice of dip-coating solutions of the macromolecules, which are the workhorse building blocks of Layer-by-Layer research, required significant engineering integration.

    This talk will present a background of the technical basis for electrostatic self-assembly, and where the bench-top variety of this coating process was constrained when it came to scaling to industrial viability. The magnitude of LbL coating equipment in operation today will also be described. This metamorphosis from lab-scale R&D tool to continuous production equipment gives us some insight as to where LbL best fits into the spectrum of coating technologies along with its strengths and weaknesses.

    Evidence will be presented that LbL technology has reached a level of maturity where bench-scale applications, industrial-scale equipment, and a deep process understanding have created a platform that is ready to make the crucial jump to commercial production. The recent acknowledgment of this progress by major players within the materials industry suggests that sustainable products not simply incorporating LbL functionality but featuring it prominently, are a near-term inevitability.

    Speakers Background:

    Kevin Krogman, Ph.D., is an independent consultant specializing in thin film coatings. He received his PhD from the Massachusetts Institute of Technology in 2009, where he was introduced to the world of Layer-by-Layer self-assembly under the direction of Professor Paula Hammond. Upon graduation he Founded Svaya Nanotechnologies to scale this platform technology to the industrial level. Funded by NEA and Sigma Partners, Svaya was ultimately acquired by 3M and Eastman Chemical, where it continues to be incubated today.

    Lee Boman is the Director of the Eastman Chemical Palo Alto Advanced Technology Center, where he specializes in bringing new functional film technologies to the market. He has a BS in Materials Science, Engineering and Public Policy from Carnegie Mellon University. Prior to Eastman, Mr. Boman developed and launched roll-to-roll thin-film based products in the display, automotive and architectural glass

    markets at Southwall Technologies; developed and scaled lasers and detectors at Gemfire; and scaled up coating processes at Landec Corporation for breathable flexible packaging. His early career was as Director of Engineering at Read-Rite corporation, and at Energy Conversion Devices & Phototronics GmbH (Schott).

    Date:

    Wednesday, May 22, 2019

    Location:

    Michael’s at Shoreline
    2960 N Shoreline Blvd
    Mountain View, CA

  • #57517

    josh

    Various indicators suggest Dr. Emad Aqad has been unhappily mistreated by Deep State
    https://www.linkedin.com/in/dr-emad-aqad-b1727957/

    Park, Jong & Hustad, Phillip & Aqad, Emad & Valeri, David & Wagner, Mike & Li, Mingqi. (2017). Advanced hole patterning technology using soft spacer materials (Conference Presentation). 101461C. 10.1117/12.2258667.

  • #57519

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  • #57521

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  • #57523

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  • #57524

    josh

    Jaksland, C & Rasmussen, E & Rohde, T. (2000). A new technology for treatment of PVC waste. Waste Management. 20. 463-467. 10.1016/S0956-053X(00)00012-X.

  • #57526

    josh
  • #57528

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  • #57529

    josh

    Bottom-up strategies for recovery and valorization of biomacromolecules
    U Edlund, N Wahlström, M Sterner – Abstracts of Papers of the American Chemical Society, 2019

    Engineering the surface chemistry of nanocelluloses for material applications
    U Edlund, JRG Navarro, E Alander – Abstracts of Papers of the American Chemical Society, 2019

  • #57530

    josh

    Minimizing the time gap between service lifetime and complete resorption of degradable melt-spun multifilament fibers
    T Fuoco, T Mathisen, A Finne-Wistrand – Polymer degradation and stability, 2019

    Designing fiber-based, degradable 3D porous scaffolds suitable for soft tissue engineering
    A Wistrand, T Fuoco, A Ahlinder – Abstracts of Papers of the American Chemical Society, 2019

  • #57531

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  • #57534

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  • #57536

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  • #57538

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  • #57539

    josh

    Synthesis of a 4, 9-didodecyl angular-shaped naphthodiselenophene building block to achieve high-mobility transistors
    Authors
    Che-En Tsai, Ruo-Han Yu, Fang-Ju Lin, Yu-Ying Lai, Jhih-Yang Hsu, Sheng-Wen Cheng, Chain-Shu Hsu, Yen-Ju Cheng
    Publication date
    2016/7/26
    Journal
    Chemistry of Materials
    Volume
    28
    Issue
    14
    Pages
    5121-5130
    Publisher
    American Chemical Society

  • #57541

    josh

    https://www.linkedin.com/in/xuanjiang/

    The Ph.D. seems to have gotten replaced

  • #57543

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  • #57545

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  • #57547

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  • #57549

    josh
  • #57551

    josh

    Combining Cloud-Based Free-Energy Calculations, Synthetically Aware Enumerations, and Goal-Directed Generative Machine Learning for Rapid Large-Scale Chemical Exploration and Optimization

    Phani Ghanakota, Pieter H. Bos, Kyle D. Konze, Joshua Staker, Gabriel Marques, Kyle Marshall, Karl Leswing, Robert Abel, and Sathesh Bhat*
    Journal of Chemical Information and Modeling
    Publication Date:June 2, 2020
    https://doi.org/10.1021/acs.jcim.0c00120

  • #57553

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  • #57554

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  • #57558

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  • #57561

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  • #57562

    josh

    Wesley Roozing, Zhibin Li, Darwin G. Caldwell, Nikos G. Tsagarakis, “Design Optimisation and Control of Compliant Actuation Arrangements in Articulated Robots for Improved Energy Efficiency”, Robotics and Automation Letters IEEE, vol. 1, no. 2, pp. 1110-1117, 2016.

  • #57564

    josh

    CONTROL << CHAOS << OED

  • #57566

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  • #57568

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  • #57572

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  • #57574

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  • #57577

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  • #57580

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    Supportive…

  • #57583

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  • #57587

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  • #57590

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  • #57592

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  • #57595

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  • #57599

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  • #57601

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  • #57603

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  • #57604

    josh

    De Souza, Cesar & Gaidon, Adrien & Cabon, Yohann & López, Antonio. (2017). Procedural Generation of Videos to Train Deep Action Recognition Networks. 2594-2604. 10.1109/CVPR.2017.278.

  • #57605

    josh

    Hehn, T.M., Kooij, J.F.P. & Hamprecht, F.A. End-to-End Learning of Decision Trees and Forests. Int J Comput Vis 128, 997–1011 (2020). https://doi.org/10.1007/s11263-019-01237-6

  • #57606

    josh

    Deepim: Deep iterative matching for 6d pose estimation
    Authors
    Yi Li, Gu Wang, Xiangyang Ji, Yu Xiang, Dieter Fox
    Publication date
    2018
    Conference
    Proceedings of the European Conference on Computer Vision (ECCV)
    Pages
    683-698

  • #57607

    josh

  • #57609

    josh

    Cai, Zhaowei & Fan, Quanfu & Feris, Rogerio & Vasconcelos, Nuno. (2016). A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection. 9908. 354-370. 10.1007/978-3-319-46493-0_22.

  • #57610

    josh

    Han, Song & Mao, Huizi & Dally, William. (2016). Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

  • #57611

    josh

    S. Woo, S. Hwang and I. Kweon, “StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection,” in 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Tahoe, NV, USA, 2018 pp. 1093-1102.
    doi: 10.1109/WACV.2018.00125
    keywords: {detectors;semantics;feature extraction;object detection;proposals;shape;visualization}
    url: https://doi.ieeecomputersociety.org/10.1109/WACV.2018.00125

  • #57613

    josh

    MIT PRIMES is a program for HS students – the current version of Bhat is
    https://www-math.mit.edu/research/highschool/primes/materials/2018/Bhat.pdf

  • #57615

    josh

    https://arxiv.org/abs/2005.00616

    Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees
    Jacob H. Seidman, Mahyar Fazlyab, Victor M. Preciado, George J. Pappas

    The fragility of deep neural networks to adversarially-chosen inputs has motivated the need to revisit deep learning algorithms. Including adversarial examples during training is a popular defense mechanism against adversarial attacks. This mechanism can be formulated as a min-max optimization problem, where the adversary seeks to maximize the loss function using an iterative first-order algorithm while the learner attempts to minimize it. However, finding adversarial examples in this way causes excessive computational overhead during training. By interpreting the min-max problem as an optimal control problem, it has recently been shown that one can exploit the compositional structure of neural networks in the optimization problem to improve the training time significantly. In this paper, we provide the first convergence analysis of this adversarial training algorithm by combining techniques from robust optimal control and inexact oracle methods in optimization. Our analysis sheds light on how the hyperparameters of the algorithm affect the its stability and convergence. We support our insights with experiments on a robust classification problem.

  • #57616

    josh

  • #57618

    josh

  • #57622

    josh

    https://journals.sagepub.com/doi/abs/10.1177/0278364919890408

    Article Menu
    Access Options
    Download PDF [PDF]

    Full Article
    Content List
    Abstract
    1 Introduction

    A scalable motion planner for high-dimensional kinematic systems
    Show all authors
    Ryan Luna, Mark Moll, Julia Badger, …
    First Published December 17, 2019 Research Article
    https://doi.org/10.1177/0278364919890408

    The International Journal of Robotics Research

    Volume: 39 issue: 4, page(s): 361-388
    Article first published online: December 17, 2019; Issue published: March 1, 2020
    Ryan Luna1, Mark Moll1, Julia Badger2, Lydia E Kavraki1
    1Department of Computer Science, Rice University, Houston, TX, USA
    2NASA Johnson Space Center, Houston, TX, USA

    ****************************************************

    “Precompute which parts of state N-D temporal state space could be in a pseudo-optimal solution [here]”

  • #57625

    josh

    Reuter, Markus. (2016). Digitalizing the Circular Economy: Circular Economy Engineering Defined by the Metallurgical Internet of Things. Metallurgical and Materials Transactions B. 47. 10.1007/s11663-016-0735-5.

    Reuter, Markus & Schaik, Antoinette & Gutzmer, J. & Bartie, Neill & Abadias Llamas, Alejandro. (2019). Challenges of the Circular Economy: A Material, Metallurgical, and Product Design Perspective. Annual Review of Materials Research. 49. 10.1146/annurev-matsci-070218-010057.

  • #57626

    josh

    Journal of Physics: Condensed Matter
    Paper
    Advanced capabilities for materials modelling with Quantum ESPRESSO

    P Giannozzi1, O Andreussi2,9, T Brumme3, O Bunau4, M Buongiorno Nardelli5, M Calandra4, R Car6, C Cavazzoni7, D Ceresoli8, M Cococcioni9Show full author list

    Published 24 October 2017 • © 2017 IOP Publishing Ltd
    Journal of Physics: Condensed Matter, Volume 29, Number 46

    QUANTUM ESPRESSO: a modular and open-source software project for quantum simulations of materials

    Paolo Giannozzi1,2, Stefano Baroni1,3, Nicola Bonini4, Matteo Calandra5, Roberto Car6, Carlo Cavazzoni7,8, Davide Ceresoli4, Guido L Chiarotti9, Matteo Cococcioni10, Ismaila Dabo11Show full author list

    Published 1 September 2009 • IOP Publishing Ltd
    Journal of Physics: Condensed Matter, Volume 21, Number 39

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  • #57641

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  • #57644

    josh

    There is a resume on Linked that is quite strong, except the current person is a leg there. They did not update Twitter. Earlier ids would be interesting too.

  • #57645

    josh

    Patil S, van den J, Alterovitz BR. Motion Planning Under Uncertainty In Highly Deformable Environments. Robot Sci Syst. 2011;P33. doi:10.15607/rss.2011.vii.033

  • #57647

    josh
  • #57649

    josh
  • #57651

    josh

    https://www.linkedin.com/in/mingmingxiang/

    is he acing the organic slave path?

  • #57653

    josh
  • #57655

    josh
  • #57657

    josh

  • #57659

    josh

    https://www.linkedin.com/in/feryal-behbahani/?originalSubdomain=uk
    2+

  • #57662

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  • #57666

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  • #57667

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  • #57670

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  • #57671

    josh

    M. A. Lewis, M. R. Bunting, B. Salemi and H. Hoffmann, “Toward Ultra High Speed Locomotors: Design and test of a cheetah robot hind limb,” 2011 IEEE International Conference on Robotics and Automation, Shanghai, 2011, pp. 1990-1996, doi: 10.1109/ICRA.2011.5979812.

  • #57673

    josh
  • #57674

    josh

    Exploring Arduino: Tools and Techniques for Engineering Wizardry 1st Edition
    by Jeremy Blum
    ISBN-13: 978-1118549360
    ISBN-10: 1118549368

  • #57676

    josh

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  • #57681

    josh

    This person is said to have gone missing.

  • #57682

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  • #57702

    josh

    person and N IT

  • #57704

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  • #57706

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  • #57708

    josh

    This editor was replaced…

  • #57710

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  • #57734

    josh

    Some good stories that could be told – I’m agnostic about whether there is a desire to do that or whether this is the original observer

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  • #57751

    josh

    Radio North Korea news seen as more interesting than most.

  • #57752

    josh

  • #57755

    josh

    original author possibly made it to GT before

  • #57757

    josh

    Perhaps this is not written by a Twitter employee
    https://twitter.com/i/events/1281720926682275840

  • #57760

    josh

  • #57762

    josh

    • #57784

      josh

      FWIW, my guess about the dialog is that it represents light surveillance of her id (jumped to GT 3 or 4 times previously), done with a good estimate of when she would be walking. No big deal, it’s what the Nazi state employs people to do. Even with the COVID economic catastrophe, tax revenues in MN are booming from the influx of Deep State leg spending here.

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  • #57783

    josh

    This id passed away in “reality”. FWIW, I did not see any clues about the last in the series, which was more of a leg than a good. Annual sample list here

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    josh
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  • #57796

    josh

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