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Scalable and eco-friendly flexible loudspeakers for distributed human-machine interactions

npj Flexible Electronics 2023年第1期7卷 89-98页

作者： Yucong Pi Qiutong Liu Zhaoyang Li Dazhe Zhao Kaijun Zhang Zhirui Liu Bingpu Zhou Iek Man Lei Yuan Ma Junwen Zhong Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics University of MacaoMacao SAR 999078China Department of Mechanical Engineering and Research Institute for Intelligent Wearable Systems The Hong Kong Polytechnic UniversityHong KongChina Joint Key Laboratory of the Ministry of Education Institute of Applied Physics and Materials EngineeringUniversity of MacaoAvenida da UniversidadeTaipaMacao 999078China

Flexible loudspeakers that can be easily distributed in the surrounding environment are essential for creating immersive experiences in human-machine interactions,as these devices can transmit acoustic information *** this paper,we present a flexible electret loudspeaker that offers numerous benefits,such as eco-friendly,easy fabrication,flexible customization,strong durability,and excellent *** output sound pressure level(SPL)and frequency response characteristic are optimized according to the simulation and experiment *** a distance of 50 meters,a large-size loudspeaker(50×40 cm^(2))can produce an average SPL of 60 dB(normal SPL range of human voices is between 40 to 70 dB).The frequency response of our loudspeaker is high and relatively consistent up to 15 kHz,which covers the normal frequency range of human voices(<8 kHz).As demonstrated in this work,our loudspeakers can be used for scalable applications,such as being integrated with curtains or hung up like posters,offering a promising and practical solution for creating better human-machine interaction experiences.

关键词： speakers durability offering

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Synthesis of amorphous silica from rice husk ash using the sol-gel method: Effect of alkaline and alkaline concentration

Synthesis of amorphous silica from rice husk ash using the s...

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3rd International Conference on Chemical engineering and Applied Sciences, ICChEAS 2022

作者： Aprilia, Sri Rosnelly, Cut Meurah Zuhra Fitriani, Fitriani Haffiz Akbar, Emir Raqib, Muhammad Rahmah, Khairul Amin, Amri Baity, Rima Aidi Department of Chemical Engineering Engineering Faculty Universitas Syiah Kuala Banda Aceh23111 Indonesia Doctoral Program School of Engineering Post Graduate Program Universitas Syiah Kuala Banda Aceh23111 Indonesia Mechanical Engineering Department Engineering Faculty University of Abulyatama Lampoh Keude-Aceh Besar Indonesia

In this study, silica extraction from RHA (rice husk ash) has been successfully performed by alkaline using KOH and NaOH with sol-gel precipitation. The silica gel was characterized for the functional group by FTIR, crystallinity with XRD, structure silica with SEM and particle size with PSA. The results show the higher concentration of solvent led to higher silica. The FTIR analysis revealed vibrations of Si-O and Si-O-Si on the product. Additionally, observed to be amorphous and aggregated, the silica extracted from RHA also exhibited a decrease in all samples. © 2023 Elsevier Ltd. All rights reserved.

关键词： Sodium hydroxide

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Enhancement of performance and operating system of Osteoporosis screening machine by optical technique and Artificial Intelligence 15

Enhancement of performance and operating system of Osteoporo...

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15th Biomedical engineering International Conference, BMEiCON 2023

作者： Limkatanyoo, Inthat Khantachawana, Anak King Mongkut's University of Technology Department of Biological Engineering Program Bangkok Thailand King Mongkut's University of Technology Department of Mechanical Engineering Bangkok Thailand

ISBN: (纸本)9798350345247

Optical Bone Densitometry has been introduced to the world as it serves screening task for osteoporosis which significantly save individual cost and time spent. In this report, we aim to diagnosis and analyze errors occur from this device in many perspectives included with determine acceptable range of percentage error, precision testing, device calibration, and effect of environmental light. Our findings show that there are some devices that have high percentage errors than acceptable value at 15% which environmental light significantly affect outcome, and it is suitable to select material for calibration which has similar properties to human bone as much as possible due to device 's principle. © 2023 IEEE.

关键词： Calibration

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Functional Materials and Innovative Strategies for Wearable Thermal Management Applications

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Nano-Micro Letters 2023年第9期15卷 562-603页

作者： Yeongju Jung Minwoo Kim Taegyeom Kim Jiyong Ahn Jinwoo Lee Seung Hwan Ko Applied Nano and Thermal Science Lab Department of Mechanical EngineeringSeoul National University1 Gwanak-roGwanak-guSeoul 08826South Korea Department of Mechanical Roboticsand Energy EngineeringDongguk University30 Pildong-ro 1-gilJung-guSeoul 04620South Korea Institute of Advanced Machinery and Design(SNU-IAMD) Seoul National UniversityGwanak-roGwanak-guSeoul 08826South Korea Institute of Engineering Research Seoul National University1 Gwanak-roGwanak-guSeoul 08826South Korea

Thermal management is essential in our body as it affects various bodily functions,ranging from thermal discomfort to serious organ failures,as an example of the worst-case *** have been extensive studies about wearable materials and devices that augment thermoregulatory functionalities in our body,employing diverse materials and systematic approaches to attaining thermal *** paper reviews the recent progress of functional materials and devices that contribute to thermoregulatory wearables,particularly emphasizing the strategic methodology to regulate body *** exist several methods to promote personal thermal management in a wearable *** instance,we can impede heat transfer using a thermally insulating material with extremely low thermal conductivity or directly cool and heat the skin ***,we classify many studies into two branches,passive and active thermal management modes,which are further subdivided into specific *** from discussing the strategies and their mechanisms,we also identify the weaknesses of each strategy and scrutinize its potential direction that studies should follow to make substantial contributions to future thermal regulatory wearable industries.

关键词： Thermal management Passive heat transfer Active heat transfer Wearable materials Wearable device

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Multi-Target Tracking Considering the Uncertainty of Deep Learning-based Object Detection of Marine Radar Images

Multi-Target Tracking Considering the Uncertainty of Deep Le...

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International Conference on Ubiquitous Robots (UR)

作者： Eunghyun Kim Jonghwi Kim Jinwhan Kim Robotics Program KAIST Daejeon Korea The Department of Mechanical Engineering KAIST Daejeon Korea

In this paper, a multi-target tracking approach that integrates the extended Kalman filter and deep learning-based object detection in marine radar images is presented. The Gaussian YOLOv3 method is utilized for object detection, providing both position measurements and their uncertainties. The extended Kalman filter is employed to estimate the position, heading, and speed of each detected target considering the uncertainty values obtained from the object-detection process. The global nearest neighbor-based data association and a dual filter structure composed of a confirmed track and a reserved track are applied to enhance the robustness of the tracking process. The feasibility of the proposed algorithm is validated through a real-world marine radar dataset collected in a coastal environment.

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SomerBot: A Two-Legged Somersaulting Robotic Climber With Compliant Footpad

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Journal of Mechanisms and robotics 2025年第8期17卷 081009页

作者： Mani Sankar, Kadali Thakur, Atul Bio-robotics and ArtificialIntelligence (BRAIn) Laboratory Department of Mechanical Engineering Indian Institute of Technology Patna Patna Bihar 801103 India Bio-robotics and ArtificialIntelligence (BRAIn) Laboratory Department of Mechanical Engineering Indian Institute of Technology Patna Patna Bihar 801106 India

Climbing capability is crucial for expanding the operational range of ground robots in inspection and exploration tasks within confined or hazardous spaces. We introduce SomerBot, a two-legged somersaulting robot designed for climbing flat and curved vertical surfaces. A key contribution is a 3D-printed compliant footpad with passive adhesion and tendon-driven detachment, reducing energy consumption compared to active adhesion techniques. The robot’s simple two-legged design minimizes fabrication complexity, weight, and power needs, which are critical for wall climbing. Optimized joint trajectory design ensures stable climbing by maintaining optimal surface contact. This article addresses several key issues: scaling of speed, payload, power, and weight with increasing motor torque, finding enhanced payload capacity without compromising speed. SomerBot’s structure, made using rapid prototyping techniques such as 3D printing and laser cutting, allows easy replication and customization. Experiments show its ability to transition between planes, overcome obstacles, and carry payloads at an average speed of 1.33 cm/s (0.12 body lengths/s). This work advances wall-climbing robots with energy-efficient adhesion and scalable design for complex climbing tasks.

关键词： legged climbing robots Design Energy consumption trajectory design Robots 3D printing somersaulting robot Adhesion

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Online 3D Bin Packing for Novel Objects Based on Deep Reinforcement Learning

Online 3D Bin Packing for Novel Objects Based on Deep Reinfo...

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2023 International Conference on Advanced robotics and Intelligent Systems, ARIS 2023

作者： Chien, Shao-Yu Wong, Ching-Chang Tamkang University College of Engineering Doctoral Program in Robotics New Taipei City25137 Taiwan Tamkang University Electrical and Computer Engineering Department New Taipei City25137 Taiwan

ISBN: (纸本)9798350302714

In this paper, a method using deep reinforcement learning is proposed to deal with the 3D online bin packing problem. The packing objects are not limited to several specific or fixed cuboid objects, but are composed of more than a thousand objects and randomly generated cuboids, which make the trained policy network can handle novel unknown objects. In addition, the posture of the object in the box can be any angle, not limited to horizontal and vertical. In the proposed method, four voxel maps are used as inputs, and a Soft Actor-Critic (SAC) algorithm is used to train a policy network. On the other hand, in order to deal with various objects with irregular shapes, a packing task simulator with physics engine enable the policy network to learn the state of falling and stacking objects. In terms of training environment of deep reinforcement learning, the proposed method can be applied to boxes of different sizes because of the scalable image information. Moreover, a reward function and a training strategy with gradually increasing difficulty are proposed to effectively improve the learning of policy network. In terms of experimental results, the results on a random object bin packing task in a simulator illustrate the effectiveness of the proposed method. © 2023 IEEE.

关键词： Reinforcement learning

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A Virtual Characterization of QUAD and DOUBLE-DOUBLE Laminates: Buckling Studies

A Virtual Characterization of QUAD and DOUBLE-DOUBLE Laminat...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Avila, Antonio F. Mapa, Lidianne P.P. Department of Mechanical Engineering Universidade Federal de Minas Gerais Belo Horizonte Minas Gerais31270-901 Brazil Mechanical Engineering Graduate Studies Program Universidade Federal de Minas Gerais Belo Horizonte Minas Gerais31270-901 Brazil

ISBN: (纸本)9781624107238

A new strategy for virtually designing and analyzing double-double laminates to resist buckling under uniaxial compression or in-plane shear conditions has been proposed. This approach combines the off-the-shelf method for carbon/epoxy prepregs with the master-ply concept. The off-the-shelf method utilizes unidirectional prepregs (0° and 90°) and non-crimped fabrics (±30°, ±45°, and 90°). The strength of this non-dimensional design strategy lies in its simplicity, requiring only two parameters: Tsai’s modulus and the number of repetitions. Results were compared with finite element analyses, showing good agreement in all cases. The double-double formulation not only provides higher buckling loads for both uniaxial compression and in-plane shear but also results in distinct buckling modes. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Buckling loads

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A Metaheuristic Technique for Cluster-Based Feature Selection of DNA Methylation Data for Cancer

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Computers, Materials & Continua 2023年第2期74卷 2817-2838页

作者： Noureldin Eissa Uswah Khairuddin Rubiyah Yusof Ahmed Madani Centre for Artificial Intelligence&Robotics Malaysia-Japan International Institute of TechnologyUniversiti Teknologi MalaysiaKuala Lumpur54100Malaysia Department of Computer Engineering Arab Academy for ScienceTechnology and Maritime TransportCairo2033Egypt Department of Mechanical Precision Engineering Malaysia-Japan International Institute of TechnologyUniversiti Teknologi MalaysiaKuala Lumpur54100Malaysia

Epigenetics is the study of phenotypic variations that do not alter DNA *** epigenetics has grown rapidly over the past few years as epigenetic alterations exist in all human *** of these alterations is DNA methylation;an epigenetic process that regulates gene expression and often occurs at tumor suppressor gene loci in ***,studying this methylation process may shed light on different gene functions that cannot otherwise be interpreted using the changes that occur in DNA ***,microarray technologies;such as Illumina Infinium BeadChip assays;are used to study DNA methylation at an extremely large number of varying *** each DNA methylation site,a beta value(β)is used to reflect the methylation ***,clustering this data from various types of cancers may lead to the discovery of large partitions that can help objectively classify different types of cancers aswell as identify the relevant loci without user *** study proposed a Nested Big Data Clustering Genetic Algorithm(NBDC-GA);a novel evolutionary metaheuristic technique that can perform cluster-based feature selection based on the DNA methylation *** efficacy of the NBDC-GA was tested using real-world data sets retrieved from The Cancer Genome Atlas(TCGA);a cancer genomics program created by the NationalCancer Institute(NCI)and the NationalHuman Genome Research *** performance of the NBDC-GA was then compared with that of a recently developed metaheuristic Immuno-Genetic Algorithm(IGA)that was tested using the same data *** NBDC-GA outperformed the IGA in terms of convergence ***,the NBDC-GA produced a more robust clustering configuration while simultaneously decreasing the dimensionality of features to a maximumof 67%and of 94.5%for individual cancer type and collective cancer,*** proposed NBDC-GA was also able to identify two chromosomes with highly contrastingDNAmethylations activities th

关键词： Cancer clustering DNA methylation feature selection metaheuristic technique the cancer genome atlas

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Surface roughness investigation of CNC pocket milling of hardwood beech 11

Surface roughness investigation of CNC pocket milling of har...

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Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies XI 2022

作者： Manolache-Rusu, I.C. Tamașag, I. Beșliu-Băncescu, I. Department of Mechanics and Technologies Mechanical Engineering Automotive and Robotics Faculty Ștefan cel Mare University of Suceava 13 University Street 720229 Romania

ISBN: (纸本)9781510660939

The paper purpose is to investigate the influence of some of the machining input factors and conditions on the surface texture and roughness parameters. The machining tests were carried out on a homebuilt (DIY) CNC router with a one teeth carbide flat end mills. The router movements were calibrated in order to assure three decimals precision. The spindle speed is controlled by a frequency converter that allows setting the speed ranging from 0 to 20000 rpm. Rectangular pockets were milled considering cutting across and along the grain and at a 45-degree angle. Different cutting path strategies were generated using a specialized CAM software. A Taguchi DOE method was considered and a confocal microscope type CWM 100 produced by Mahr was used to analyze the surface texture and roughness parameters. © 2023 SPIE.

关键词： Surface roughness

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