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2025 CHI Conference on Human Factors in Computing systems, CHI 2025

作者： Rinott, Michal Rafaeli, Sheizaf Tractinsky, Noam Software and Information Systems Engineering Ben Gurion University of the Negev Be'er Sheva Israel Kadar Design and Technology Center Shenkar - Engineering. Design. Art Ramat Gan Israel University of Haifa Haifa Israel Shenkar - Engineering. Design. Art Ramat Gan Israel

ISBN: (纸本)9798400713941

Interpersonal motor synchronization (IMS) occurs when people move together, in temporal alignment. Being in IMS can result in prosocial effects: increased liking, similarity and trust. We address the possibility of remote IMS (rIMS) between people who are not co-located, through mobile phone interactions. A threat to rIMS is the temporal noise inherent to communication networks. We created a mobile phone application in which a human participant tries to tap in synchrony with a remote participant, that is in fact a responsive computer algorithm. We introduced three levels of synthetic network noise to the joint tapping. We show that pro-sociality can be created in rIMS, but that as network noise increases the prosocial effects decrease. Participants' textual answers are analyzed thematically to learn about the effects of remote synchronization. Our findings motivate the creation of remote interactions with elements of IMS as well as inform the network requirements for successful rIMS. © 2025 Copyright held by the owner/author(s).

关键词： Timing jitter

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Robust Online Epistemic Replanning of Multi-Robot Missions

Robust Online Epistemic Replanning of Multi-Robot Missions

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

作者： Lauren Bramblett Branko Miloradović Patrick Sherman Alessandro V. Papadopoulos Nicola Bezzo Departments of Systems and Information Engineering and Electrical and Computer Engineering University of Virginia Charlottesville VA USA Division of Intelligent Future Technologies Mälardalen University Sweden

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

As Multi-Robot systems (MRS) become more affordable and computing capabilities grow, they provide significant advantages for complex applications such as environmental monitoring, underwater inspections, or space exploration. However, accounting for potential communication loss or the unavailability of communication infrastructures in these application domains remains an open problem. Much of the applicable MRS research assumes that the system can sustain communication through proximity regulations and formation control or by devising a framework for separating and adhering to a predetermined plan for extended periods of disconnection. The latter technique enables an MRS to be more efficient, but breakdowns and environmental uncertainties can have a domino effect throughout the system, particularly when the mission goal is intricate or time-sensitive. To deal with this problem, our proposed framework has two main phases: i) a centralized planner to allocate mission tasks by rewarding intermittent rendezvous between robots to mitigate the effects of the unforeseen events during mission execution, and ii) a decentralized replanning scheme leveraging epistemic planning to formalize belief propagation and a Monte Carlo tree search for policy optimization given distributed rational belief updates. The proposed framework outperforms a baseline heuristic and is validated using simulations and experiments with aerial vehicles.

关键词： Uncertainty Heuristic algorithms Search problems Regulation Planning Space exploration Resource management Multi-robot systems Vehicle dynamics Belief propagation

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Enhancing the Efficiency of the Grouping-Scoring-Modeling Framework with Statistical Pre-Scoring Component for Transcriptomic Data Analysis

Enhancing the Efficiency of the Grouping-Scoring-Modeling Fr...

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18th International Joint Conference on Biomedical engineering systems and Technologies, BIOSTEC 2025

作者： Khokhar, Maham Bakir-Gungor, Burcu Yousef, Malik Department of Data Science Social Sciences Institute Abdullah Gul University Kayseri38080 Turkey Department of Computer Engineering Faculty of Engineering Abdullah Gul University Kayseri38080 Turkey Department of Information Systems Galilee Digital Health Research Center Zefat Academic College Zefat13206 Israel

The advent of high-throughput transcriptomic technologies has generated vast transcriptomic datasets, challenging current analytical methodologies with their sheer volume and complexity. The Grouping-Scoring Modeling (G-S-M) approach is one of the recent approaches that treat groups of genes (or clusters of genes) by embedding prior biological knowledge with machine learning in order to detect the most significant groups for classification tasks. The G-S-M might need to treat thousand ten thousand of groups (scoring those groups) which might affect the speed and performance of the algorithm. In response, this study introduces the Pre Scoring G-S-M model, an enhancement of the established Grouping-Scoring-Modeling (G-S-M) framework. This approach incorporates a Pre-Scoring component that leverages the Limma package for its empirical Bayes methods to optimize initial transcriptomic data evaluation through a percentage-based selection of statistically significant gene groups. Aimed at reducing computational demand and streamlining feature selection, the model also addresses data redundancy by eliminating duplicate gene-disease associations. Application to nine human gene expression datasets from the GEO database showed promising results. It demonstrated improvements in computational efficiency and analytical precision while reducing the number of features selected per dataset compared to the traditional G-S-M approach, without compromising accuracy. These initial findings highlight the Pre-Scoring G-S-M model's potential to enhance transcriptomic data analysis, indicating a promising direction for future bioinformatics research. © 2025 by SCITEPRESS– Science and Technology Publications, Lda.

关键词： Data accuracy

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Online Conflict-Free Scheduling of Fleets of Autonomous Mobile Robots

Online Conflict-Free Scheduling of Fleets of Autonomous Mobi...

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IEEE International Conference on Automation Science and engineering (CASE)

作者： Francesco Popolizio Martina Vinetti Alvin Combrink Sabino Francesco Roselli Maria Pia Fanti Martin Fabian Department of Electrical Engineering Division of Systems and Control Chalmers University of Technology Göteborg Sweden Department of Electrical and Information Engineering Polytechnic of Bari Bari Italy

ISBN: (数字)9798350358513

ISBN: (纸本)9798350358520

This work presents a Fleet Manager for a fleet of Autonomous Mobile Robots (AMRs) that perform material handling tasks in a shared environment. The Fleet Manager assigns AMRs to newly released tasks, computes paths for them to travel to the task’s locations, and schedules their travel along the computed paths so that conflicts with other AMRs are avoided. The objective is for each AMR to complete its task as quickly as possible, to then be assigned a new *** Fleet Manager works online, assigning a released task to the AMR closest to the task’s location, and then computing the path and schedule to fit in with the already assigned and executing AMRs. Conflicts occur when, in order to reach their targets, AMRs would have to simultaneously occupy the same space. Resolving this is done by appropriate scheduling, or by moving idle AMRs out of the way. For fleet management to be practicable, the computation time for assigning an AMR to a task and computing its path and schedule must be negligible compared to other system *** were conducted to evaluate the performance of the Fleet Manager on a number of benchmark problem instances, counting up to hundreds of AMRs. The results show that the presented Fleet Manager can handle these systems quickly enough to be practically useful in real industrial scenarios.

关键词： Schedules Job shop scheduling Processor scheduling Benchmark testing Throughput Real-time systems Path planning Mobile robots Optimization Autonomous robots

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Ferroelectric-controlled graphene plasmonic surfaces for all-optical neuromorphic vision

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Science China(Technological Sciences) 2024年第3期67卷 765-773页

作者： CHEN JianBo LIU Yu LI ShangDong LIN Lin LI YaDong HUANG Wen GUO JunXiong School of Electronic Information and Electrical Engineering Institute for Advanced StudyChengdu UniversityChengdu 610106China School of Integrated Circuits Tsinghua UniversityBeijing 100084China School of Integrated Circuits(National Exemplary Schoolof Microelectronics) Universityof Electronic Science and Technologyof China Chengdu 610054China Jincheng Research Institute of Opto-mechatronics Industry Jincheng 048000China Shanxi Key Laboratory of Advanced Semiconductor Optoelectronic Devices and Integrated Systems Jincheng 048000China Engineering Research Center of Digital Imaging and Display Ministry of EducationSoochow UniversitySuzhou 215006China

Artificial visual systems can recognize desired objects and information from complex environments, and are therefore highly desired for pattern recognition, object detection, and imaging applications. However, state-of-the-art artificial visual systems with high recognition performances that typically consist of electronic devices face the challenges of requiring huge storage space and high power consumption owing to redundant data. Here, we report a terahertz(THz) frequency-selective surface using a graphene split-ring resonator driven by ferroelectric polarization for efficient visual system applications. The downward polarization of the ferroelectric material offers an ultrahigh electrostatic field for doping p-type graphene with an anticipated Fermi level. By optimizing the geometric parameters of the devices and modulating the carrier behaviors of graphene, our plasmonic devices exhibit a tunable spectral response in a range of 1.7–6.0 THz with continuous transmission values. The alloptical neural network using graphene plasmonic surfaces designed in this study exhibited excellent performance in visual preprocessing and convolutional filtering and achieved an ultrahigh recognition accuracy of up to 99.3% in training the Modified National Institute of Standards and Technology(MNIST) handwritten digit dataset. These features demonstrate the great potential of graphene plasmonic devices for future smart artificial vision systems.

关键词： graphene plasmon ferroelectric frequency selective surface artificial vision system

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A Bread Board Model Testing for In-Space Flight Demonstration of a Liquid-Propellant Detonation Engine System

A Bread Board Model Testing for In-Space Flight Demonstratio...

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AIAA SciTech Forum and Exposition, 2024

作者： Kawasaki, Akira Nakata, Kotaro Sato, Tomoki Sawada, Satoru Kudo, Yusuke Suzuki, Yamato Itouyama, Noboru Matsuoka, Ken Matsuyama, Koichi Kasahara, Jiro Nakata, Daisuke Namera, Mio Eguchi, Hikaru Uchiumi, Masaharu Matsuo, Akiko Funaki, Ikkoh Nakamura, Shuichi Higashino, Kazuyuki Hirashima, Hidetoshi Department of Mechanical Engineering Shizuoka University Hamamatsu Shizuoka432-8561 Japan Nagoya University Aichi Nagoya464-8603 Japan Department of Aerospace Engineering Nagoya University Aichi Nagoya464-8603 Japan Institute of Materials and Systems for Sustainability Nagoya University Aichi Nagoya464-8603 Japan Aerospace Plane Research Center Muroran Institute of Technologu Keio University Kanagawa Yokohama223-8522 Japan Division of Production Systems Engineering Muroran Institute of Technologu Keio University Kanagawa Yokohama223-8522 Japan Department of Mechanical Engineering Keio University Kanagawa Yokohama223-8522 Japan Institute of Space and Astronautical Science Japan Aerospace Exploration Agency Kanagawa Sagamihara252-5210 Japan Technical Development Division Nakamura Engineering and Trading Service Saitama Sakado350-0233 Japan Department of Aerospace Systems Engineering Sojo University Kumamoto860-0082 Japan

ISBN: (数字)9781624107115

ISBN: (纸本)9781624107115

In-space flight demonstration of a rotating detonation engine system using liquid nitrous oxygen and liquid ethanol as the propellant (DES-2) is planned in FY2024 by a collaborative research group of Nagoya University, Shizuoka University, Keio University, the Muroran Institute of Technology, and Institute of Space and Astronautical Science at the Japan Aerospace Exploration Agency (ISAS/JAXA). In this manuscript, a ground combustion test of the bread board model (BBM) of the DES-2, which has been conducted in May 2023, is briefly described. In the testing, the DES-2 BBM was operated in stand-alone mode and achieved detonation combustion as planned. © 2024 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

关键词： Space research

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Evaluation Method of Motor Coordination Ability in Children Based on Machine Vision

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Tsinghua Science and Technology 2025年第2期30卷 633-649页

作者： Yi Lei Dawei Shu Miao Yu Donglin Shi Jianqiang Li Yanjie Chen Faculty of Information Technology Beijing University of TechnologyBeijing 100124China Department of Automation Tsinghua UniversityBeijing 100084China Pharmacovigilance Research Center for information technology and Data Science Cross-strait Tsinghua Research InstituteXiamen 361000China Institute of Systems Engineering Dalian University of TechnologyDalian 116024China Physical Education Department Hebei Sports UniversityShijiazhuang 050049China Department of Children’s Health Care Center Beijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijing 100045China

Motor coordination is crucial for preschoolers’development and is a key factor in assessing childhood *** diagnostic methods often rely on subjective manual *** paper presents a machine vision-based approach aimed at improving the objectivity and adaptability of *** method proposed involves the extraction of key points from the human skeleton through the utilization of a lightweight pose estimation network,thereby transforming video assessments into evaluations of keypoint *** study uses different methods to handle static and dynamic actions,including regularization and Dynamic Time Warping(DTW)for spatial alignment and temporal discrepancies.A penalty-adjusted single-frame pose similarity method is used to evaluate *** lightweight pose estimation model reduces parameters by 85%,uses only 6.6%of the original computational load,and has an average detection missing rate of less than 1%.The average error for static actions is 0.071 with a correlation coefficient of 0.766,and for dynamic actions it is 0.145 with a correlation coefficient of *** results confirm the proposed method’s effectiveness,which includes customized visual components like motion waveform graphs to improve accuracy in pediatric healthcare diagnoses.

关键词： developmental coordination disorder action quality assessment pose estimation dynamic time warping decision support system

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An efficient memory data organization strategy for application-characteristic graph processing

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Frontiers of Computer Science 2022年第1期16卷 191-193页

作者： Peng FANG Fang WANG Zhan SHI Dan FENG Qianxu YI Xianghao XU Yongxuan ZHANG Wuhan National Laboratory for Optoelectronics Key Laboratory of Information Storage SystemEngineering Research Center of data storage systems and TechnologyMinistry of Education of ChinaSchool of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhan430074China

1 Introduction Graph processing has received significant attention for its ability to cope with large-scale and complex unstructured data in the ***,most of the graph processing applications exhibit an irregular memor... 详细信息

关键词： application processing pattern

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Electric-vehicle routing problem with time windows and energy minimization: green logistics with same-day delivery approaches

Electric-vehicle routing problem with time windows and energ...

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Electrical, Computer and Energy Technologies (ICECET), International Conference on

作者： Nima Moradi Vahid Kayvanfar Roberto Baldacci Information Systems Engineering Concordia University Montreal Canada Division of Engineering Management and Decision Sciences College of Science and Engineering Hamad Bin Khalifa University Qatar Foundation Doha Qatar

ISBN: (数字)9798350395914

ISBN: (纸本)9798350395921

Electric Vehicle (EV)-based last-mile delivery has been studied in recent years due to its theoretical and practical importance. EVs are known for their eco-friendliness and no air pollution in Green Logistics. However, there is no work on integrating the energy consumption and same-day delivery approaches with Electric-Vehicle Routing Problem with Time Windows (EVRP- TW). The influence of payload weights on the EVs energy consumption is considerable and should be considered when planning routes. This work presents the Prize-Collecting EVRP- TW with Energy Minimization (PC-EVRP- TW-EM), finding the optimal routes of EV s to visit the customers with prime membership (same-day service) and consume less battery energy. A mixed-integer program models the PC-EVRP- TW-EM. The results show the efficiency of the proposed approach, reducing the energy consumption and usage cost of EVs by an average of 32.97% and 29.17%, respectively.

关键词： Energy consumption Costs Process control Minimization Routing Electric vehicles Batteries Planning Logistics Payloads

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Multi-octave two-color soliton frequency comb in integrated chalcogenide microresonators

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Frontiers of Optoelectronics 2024年第4期17卷 91-104页

作者： Huanjie Cheng Guosheng Lin Di Xia Liyang Luo Siqi Lu Changyuan Yu Bin Zhang Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and Systems School of Electrical and Information TechnologySun Yat-sen UniversityGuangzhou 510275China Photonics Research Center Department of Electronic and Information EngineeringThe Hong Kong Polytechnic UniversityKowloonHong KongChina

Mid-infrared(MIR)Kerr microcombs are of significant interest for portable dual-comb spectroscopy and precision molecular sensing due to strong molecular vibrational absorption in the MIR ***,achieving a compact,octave-spanning MIR Kerr microcomb remains a challenge due to the lack of suitable MIR photonic materials for the core and cladding of integrated devices and appropriate MIR continuous-wave(CW)pump ***,we propose a novel slot concentric dual-ring(SCDR)microresonator based on an integrated chalcogenide glass chip,which offers excellent transmission performance and flexible dispersion engineering in the MIR *** device achieves both phase-matching and group velocity matching in two separated anomalous dispersion regions,enabling phase-locked,two-color solitons in the MIR region with a commercial 2-μm CW laser as the pump ***,the spectral locking of the two-color soliton enhances pump wavelength selectivity,providing precise control over soliton *** leveraging the dispersion characteristics of the SCDR microresonator,we have demonstrated a multi-octave-spanning,two-color soliton microcomb,covering a spectral range from 1156.07 to 5054.95 nm(200 THz)at a-40 dB level,highlighting the versatility and broad applicability of our *** the proposed multi-octave MIR frequency comb is relevant for applications such as dual-comb spectroscopy and trace-gas sensing.

关键词： Mid-infrared Kerr microcombs Two-color soliton Multi-octave Chalcogenide glasses

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