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6th International Conference on Precision Machinery and Manufacturing Technology, ICPMMT 2021

作者： Shiau, Y.R. Fang, J. Chen, Y.L. Department of Industrial Engineering and Systems Management Feng Chia University Taichung407 Taiwan Department of Aerospace and Systems Engineering Feng Chia University Taichung407 Taiwan Ph.D. Program of Mechanical and Aeronautical Engineering Feng Chia University Taichung407 Taiwan

Unmanned aerial vehicles (UAVs) are widely applied in various industries and fields. Because they use a variety of rotor types, from single rotors to multi-rotors, UAVs offer a wide array of functions. However, continuously rotating rotors can be dangerous if they accidentally encounter foreign objects or bare hands. Therefore, non-rotor UAVs are the focus of discussion and modification in the present study. Non-rotor UAVs do not contain visible rotor mechanical components. Compared with the development of popularized multirotor UAVs, that of non-rotor UAVs is challenging in terms of structure and flight control. To address this challenge, wind tunnel structure models were developed in this study for different levels of aerodynamic force, and computer-aided engineering was used to conduct structural and flow field analyses to determine the key elements that reinforce non-rotor UAV structures. The research results revealed that the thickness and fillet design at the joint of the non-rotor UAV aerodynamic wind tunnel system were crucial factors influencing the system's performance. Motor rotors can be embedded inside support structures to reduce airflow turbulence in the wind tunnel. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Wind tunnels

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Per- and Polyfluoroalkyl Substances Behavior: Insights from Autothermal Thermophilic Aerobic Digestion - Storage Nitrification Denitrification Reactors

SSRN

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SSRN 2024年

作者： Alukkal, Caroline Rose Lee, Linda S. Staton, Kevin Interdisciplinary Ecological Sciences & Engineering Purdue University West LafayetteIN United States Department of Environmental & Ecological Engineering Purdue University West LafayetteIN United States Department of Agronomy Purdue University West LafayetteIN United States Thermal Process Systems Crown PointIN United States

Per- and polyfluoroalkyl substances (PFAS) have emerged as significant environmental contaminants due to their persistence, bioaccumulative properties, and potential adverse impacts on health and ecosystems. Water Resource Recovery Facilities (WRRFs) play a crucial role in the management of PFAS, given their widespread presence in consumer products and subsequent reintroduction into the environment. This study investigated the dynamics of PFAS within the solids stream treatment processing that utilized autothermal thermophilic aerobic digestion (ATAD) followed by a storage nitrification denitrification reactor (SNDR). PFAS analysis included 60 PFAS analyzed via liquid chromatography-triple quadrupole time-of-flight mass spectrometry of pre-ATAD, post-ATAD, and post-SNDR samples. Complexities such as volatile solids loss during the treatment processes were considered in assessing the effect of ATAD and SNDR on PFAS concentrations. Significant changes were observed in the relative contributions of various PFAS classes throughout the treatment processes. The relative contribution of perfluoroalkyl alkyl acids (PFAAs) increased while phosphorus-containing PFAS (e.g., di-substituted polyfluoroalkyl phosphate esters) and fluorotelomer carboxylic acids decreased. Shorter-chain PFAAs were enriched during ATAD, whereas most PFAS increased during SNDR except diPAPs and FTCAs, reflecting treatment conditions' impact. Overall, minor changes in total PFAS concentrations during ATAD occurred while SNDR resulted in a significant increase. © 2024, The Authors. All rights reserved.

关键词： Liquid chromatography

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Cofilin-Mediated Filament Softening and Crosslinking Counterbalance to Enhance Actin Network Flexibility

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Physical Review Letters 2024年第21期133卷 218402-218402页

作者： Zachary Gao Sun Michael Murrell Department of Physics Yale University 217 Prospect Street New Haven Connecticut 06511 USA Systems Biology Institute Yale University West Haven Connecticut 06516 USA Integrated Graduate Program in Physical and Engineering Biology Yale University New Haven Connecticut 06520 USA Department of Biomedical Engineering Yale University New Haven Connecticut 06511 USA

Filamentous-actin (F-actin) crosslinking within the cell cytoskeleton mediates the transmission of mechanical forces, enabling changes in cell shape, as occurs during cell division and cell migration. Crosslinking by actin binding proteins (ABPs) generally increases the connectivity of the F-actin network, but also increases network rigidity. As a result, there is a narrow range in the concentration of crosslinker protein at which F-actin networks are both connected and labile. Another ABP, cofilin, severs F-actin filaments at high pH through increasing their bending flexibility and concentrating mechanical stress, inducing fragmentation. By contrast, at lower pH, cofilin increases filament flexibility yet does not sever. Instead, it forms disulfide bonds, which crosslink F-actin into bundles, and bundles into networks. Here, we combine light microscopy and rheology to determine the impact of two potentially opposing effects on the mechanics of F-actin networks—increased flexibility at the filament level, and increased connectivity at the network level. Indeed, by linear rheology, we find that these mechanisms are counterbalanced, such that cofilactin network moduli are only weakly dependent on cofilin concentration over a broad range, in contrast to the dramatic stiffening that occurs with F-actin crosslinking protein. Further, by nonlinear rheology, the network stiffens at a higher stress than crosslinking protein, indicative of a broader range in which the material remains flexible. These results may enable F-actin networks to increase connectivity without heavy penalties to rigidity, and thus provide a new route to modulating active polymer mechanics unseen using traditional F-actin accessory proteins.

关键词： Biomimetic & bio-inspired materials Biomolecular self-assembly Living matter & active matter Persistence length Polymer entanglement Rheological properties Rheology Shear deformation Strain

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Catalyzing Singlet Fission by Transition Metals:Second versus Third Row Effects

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Precision Chemistry 2023年第9期1卷 555-564页

作者： Yuxuan Hou Ilias Papadopoulos Yifan Bo Anna-Sophie Wollny Michael J.Ferguson Lukas A.Mai Rik R.Tykwinski Dirk M.Guldi Department of Chemistry University of AlbertaEdmontonAlberta T6G 2G2Canada Department of Chemistry and Pharmacy&Interdisciplinary Center for Molecular Materials(ICMM) Friedrich-Alexander-University Erlangen-Nuremberg91058 ErlangenGermany Department of Applied Chemistry Graduate School of EngineeringCenter for Molecular Systems(CMS)Kyushu University744 Moto-okaNishi-kuFukuoka 819-0395Japan

The synthesis and characterization of platinum(II)and palladium(II)complexes bearing two(dimers Pt(L_(pc))_(2)Cl_(2)and Pd(L_(pc))_(2)Cl_(2)),one(monomers Pt(L_(pc))(L_(ref))Cl_(2)and Pd(L_(pc))(L_(ref))-Cl_(2)),or no(reference compounds Pt(L_(ref))_(2)Cl_(2)and Pd(L_(ref))_(2)Cl_(2))pentacene-based pyridyl ligands are *** properties of the dimers are probed by means of steady-state and time-resolved transient absorption measurements in compar-ison to the monomer and model *** results document that despite enhanced spin−orbit coupling from the presence of heavy atoms,intramolecular singlet fission(iSF)is not challenged by intersystem *** thus yields correlated triplet pairs and even uncorrelated triplet excited states upon ***,significant separation of the two pentacenyl groups facilitates decoupling of the two ***,the mechanism of iSF is altered depending on the respective metal center,that is,Pt(II)versus Pd(II).The dimer based on Pt(II),Pt(L_(pc))2Cl_(2),exhibits a direct pathway for the iSF and forms a correlated triplet pair with singlet−quintet spin-mixing within 10 ns in variable *** the other hand,the dimer based on Pd(II),Pd(L_(pc))_(2)Cl_(2),leads to charge transfer mixing during the population of the correlated triplet pair that is dependent on solvent ***,Pd(L_(pc))_(2)Cl_(2)gives rise to a stable equilibrium between singlet and quintet correlated triplet pairs with lifetimes of up to 170 *** differences in the size and polarizability,when contrasting platinum(II)with palladium(II),are the most likely rationale for the underlying trends.

关键词： metal complexes singlet fission pentacene dimers ultrafast spectroscopy electronic coupling

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Exploring 3D Reconstruction with Drone Images: Advances and Challenges in Urban Environments

Exploring 3D Reconstruction with Drone Images: Advances and ...

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Annual Conference of Industrial Electronics Society

作者： Thiago João Miranda Baldivieso Taise Grazielle Da Silva Batista Fabio Suim Chagas Luiz Carlos Pacheco Rodrigues Velho Paulo Fernando Ferreira Rosa Defense Engineering Graduate Program Military Institute of Engineering Rio de Janeiro Brazil State Institute of the Environment Inea/RJ Rio de Janeiro Brazil Department of Science and Industry Systems University of South-Eastern Norway Kongsberg Norway Department of Computer Graphics Institute for Pure and Applied Mathematics Rio de Janeiro Brazil Electrical Engineering Graduate Program Military Institute of Engineering Rio de Janeiro Brazil

ISBN: (数字)9781665464543

ISBN: (纸本)9781665464550

This working-in-progress paper aims to present a three-dimensional reconstruction using aerial images in different environments. The experiments were conducted with aircraft in both external and internal settings, starting with image acquisition, followed by the application of specific photogrammetry software—both commercial and open-source—and concluding with a qualitative evaluation of the results.

关键词： Industrial electronics Three-dimensional displays Urban areas Aircraft Image reconstruction Photogrammetry Drones

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Renderable Street View Map-Based Localization: Leveraging 3D Gaussian Splatting for Street-Level Positioning

Renderable Street View Map-Based Localization: Leveraging 3D...

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IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)

作者： Howoong Jun Hyeonwoo Yu Songhwai Oh Artificial Intelligence (IPAI) Seoul National University and Automation and Systems Research Institute (ASRI) and Sequor Robotics Inc. Seoul Korea Republic of Department of Intelligent Robotics & Mechanical Engineering Sungkyunkwan University (SKKU) Suwon-si Korea Republic of Department of Electrical and Computer Engineering (ECE) & Interdisciplinary Program in Artificial Intelligence (IPAI) Seoul National University and Automation and Systems Research Institute (ASRI) and Sequor Robotics Inc. Seoul Korea Republic of

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

In this paper, we introduce a new method that first utilizes 3D Gaussian splatting in street-level localization problem. Robust localization with street-level real-world images such as street view is a major issue for autonomous vehicle, augmented reality (AR) navigation, and outdoor mobile robots. The objective is to determine the position and orientation of a query image that matches a street view database composed of RGB images. However, given the limited information available in the street view images, accurately determining the location solely based on this data presents a significant challenge. To address this challenge, we propose a novel method called renderable street view map-based localization (RSM-Loc). This approach enhances the localization process by augmenting 2D street view images into a renderable 3D map using 3D Gaussian splatting, to resolve street-level localization problems. Upon receiving a query RGB image without geometry information, the proposed method renders 2D images from a pre-made renderable map and compares image pose similarities between the rendered images and the query image. Through iterations of this process, the proposed method eventually estimates the pose of the given query image. The experimental results demonstrate that RSM-Loc outperforms the baselines with neural-field-based localization. Additionally, we conduct deep analysis on the proposed method to show that our method can serve as a new concept for the street-level localization problem.

关键词： Location awareness Visualization Matched filters Three-dimensional displays Image resolution Navigation Noise measurement Mobile robots Intelligent robots Image reconstruction

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ControlDreamer: Blending Geometry and Style in Text-to-3D

arXiv

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arXiv 2023年

作者： Oh, Yeongtak Choi, Jooyoung Kim, Yongsung Park, Minjun Shin, Chaehun Yoon, Sungroh Department of Electrical and Computer Engineering Seoul National University Seoul Korea Republic of Interdisciplinary Program in Artificial Intelligence Seoul National University Seoul Korea Republic of

Recent advancements in text-to-3D generation have significantly contributed to the automation and democratization of 3D content creation. Building upon these developments, we aim to address the limitations of current methods in blending geometries and styles in text-to-3D generation. We introduce multi-view ControlNet, a novel depth-aware multi-view diffusion model trained on generated datasets from a carefully curated text corpus. Our multi-view ControlNet is then integrated into our two-stage pipeline, ControlDreamer, enabling text-guided generation of stylized 3D models. Additionally, we present a comprehensive benchmark for 3D style editing, encompassing a broad range of subjects, including objects, animals, and characters, to further facilitate research on diverse 3D generation. Our comparative analysis reveals that this new pipeline outperforms existing text-to-3D methods as evidenced by human evaluations and CLIP score metrics. Project page: https://***. © 2023, CC BY.

关键词： 3D modeling

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The Study on the Energy Efficiency of the Bipedal-Walking Pattern of a Humanoid Robot Using Four-Bar-Linkage Toe Joints

The Study on the Energy Efficiency of the Bipedal-Walking Pa...

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International Conference on Ubiquitous Robots (UR)

作者： Junghun Choi Yeonghun Chun Injoon Min Min Sung Ahn Jeakweon Han Department of Mechatronics Engineering Hanyang University ERICA Ansan Republic of Korea Department of Interdisciplinary Robot Engineering Systems Hanyang University ERICA Ansan Republic of Korea Department of Mechanical and Aerospace Engineering University of California Los Angeles CA USA Department of Robotics Hanyang University ERICA Ansan Republic of Korea

The purpose of this study is to increase the energy efficiency of a biped-walking humanoid robot. A traditional biped-walking robot walks with its knees bent, which places an unnecessarily large load on the knees. Therefore, in this study, a biped-walking robot with toe joints is developed. This allows it to walk naturally by moving its center of gravity forward, without bending its knees. In addition, as the load acting on the knee joint is reduced, a four-bar linkage mechanism is applied to avoid an excessive load on the toe joint. The toe structure to which the four-bar linkage mechanism is applied distributes the load transmitted to each axis of the toe joint. A 52.2-cm biped-walking robot was developed with the above toes applied. As it walked, the zero-moment point (ZMP) was measured, through forward kinematics and inverse kinematics, and experiments were conducted by applying a walking pattern unlike that of a robot without toes. The maximum step length, maximum speed, ZMP graph, and maximum current were measured. Experiment compared these metrics with those of a flat-footed robot, to demonstrate the efficiency of the robot to which toes were applied. The maxwimum speed and maximum step length were measured to be faster and larger, respectively, than those of a robot without toes, and a smooth ZMP-change graph was confirmed. In addition, the current measurement showed a lower electric charge; thus, proving the energy efficiency of applying the proposed mechanism.

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Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting

arXiv

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arXiv 2024年

作者： Kang, Bong Gyun Lee, Dongjun Kim, HyunGi Yoon, Sungroh Chung, DoHyun Interdisciplinary Program in Artificial Intelligence Seoul National University Korea Republic of Department of Electrical and Computer Engineering Seoul National University Korea Republic of Department of Future Automotive Mobility Seoul National University Korea Republic of

Sequence modeling faces challenges in capturing long-range dependencies across diverse tasks. Recent linear and transformer-based forecasters have shown superior performance in time series forecasting. However, they are constrained by their inherent inability to effectively address long-range dependencies in time series data, primarily due to using fixed-size inputs for prediction. Furthermore, they typically sacrifice essential temporal correlation among consecutive training samples by shuffling them into mini-batches. To overcome these limitations, we introduce a fast and effective Spectral Attention mechanism, which preserves temporal correlations among samples and facilitates the handling of long-range information while maintaining the base model structure. Spectral Attention preserves long-period trends through a low-pass filter and facilitates gradient to flow between samples. Spectral Attention can be seamlessly integrated into most sequence models, allowing models with fixed-sized look-back windows to capture long-range dependencies over thousands of steps. Through extensive experiments on 11 real-world time series datasets using 7 recent forecasting models, we consistently demonstrate the efficacy of our Spectral Attention mechanism, achieving state-of-the-art results. © 2024, CC BY-NC-ND.

关键词： Time series

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Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation 39

Battling the Non-stationarity in Time Series Forecasting via...

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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025

作者： Kim, HyunGi Kim, Siwon Mok, Jisoo Yoon, Sungroh Department of Electrical and Computer Engineering Seoul National University Korea Republic of Interdisciplinary Program in Artificial Intelligence Seoul National University Korea Republic of AIIS ASRI INMC Seoul National University Korea Republic of

ISBN: (纸本)157735897X

Deep Neural Networks have spearheaded remarkable advancements in time series forecasting (TSF), one of the major tasks in time series modeling. Nonetheless, the non-stationarity of time series undermines the reliability of pre-trained source time series forecasters in mission-critical deployment settings. In this study, we introduce a pioneering test-time adaptation framework tailored for TSF (TSF-TTA). TAFAS, the proposed approach to TSF-TTA, flexibly adapts source forecasters to continuously shifting test distributions while preserving the core semantic information learned during pre-training. The novel utilization of partially-observed ground truth and gated calibration module enables proactive, robust, and model-agnostic adaptation of source forecasters. Experiments on diverse benchmark datasets and cutting-edge architectures demonstrate the efficacy and generality of TAFAS, especially in long-term forecasting scenarios that suffer from significant distribution shifts. Copyright © 2025, Association for the Advancement of Artificial Intelligence.

关键词： Deep neural networks

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