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Wireless, Multifunctional System-Integrated Programmable Soft robot

Nano-Micro Letters 2025年第7期 20-33页

作者： Sungkeun Han Jeong-Woong Shin Joong Hoon Lee Bowen Li Gwan-Jin Ko Tae-Min Jang Ankan dutta Won Bae Han Seung Min Yang dong-Je Kim Heeseok Kang Jun Hyeon Lim Chan-Hwi Eom So Jeong Choi Huanyu Cheng Suk-Won Hwang KU-KIST Graduate School of Converging Science and Technology Korea University Semiconductor R&D Center Samsung Electronics Co.Ltd. SK Hynix Department of Engineering Science and Mechanics The Pennsylvania State UniversityUniversity Park Center for Neural Engineering The Pennsylvania State UniversityState CollegeUniversity Park Department of Integrative Energy Engineering Korea University Hanwha Systems Co. Ltd. Department of Materials Science and Engineering The Pennsylvania State UniversityState CollegeUniversity Park Materials Research Institute The Pennsylvania State UniversityState CollegeUniversity Park Center for Biomaterials Biomedical Research InstituteKorea Institute of Science and Technology (KIST) Department of Mechanical Engineering The Pennsylvania State UniversityUniversity Park

Soft robots have partially or entirely provided versatile opportunities for issues or roles that cannot be addressed by conventional machine robots, although most studies are limited to designs, controls, or physical/mechanical motions. Here, we present a transformable, reconfigurable robotic platform created by the integration of magnetically responsive soft composite matrices with deformable multifunctional electronics. Magnetic compounds engineered to undergo phase transition at a low temperature can readily achieve reversible magnetization and conduct various changes of motions and shapes. Thin and flexible electronic system designed with mechanical dynamics does not interfere with movements of the soft electronic robot, and the performances of wireless circuit, sensors, and devices are independent of a variety of activities, all of which are verified by theoretical studies. demonstration of navigations and electronic operations in an artificial track highlights the potential of the integrated soft robot for on-demand, environments-responsive movements/metamorphoses, and optoelectrical detection and stimulation. Further improvements to a miniaturized, sophisticated system with material options enable in situ monitoring and treatment in envisioned areas such as biomedical implants.

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PMSM Zero-Low Speed rotor Position Estimation control Strategy Based on Improved SOGI-ANF

PMSM Zero-Low Speed Rotor Position Estimation Control Strate...

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International conference on renewable Energy and Power engineering (rEPE)

作者： Fang Wang Guangqiang Lyu Liang Gu Tao Liu School of Automation Nanjing University of Science & Technology Nanjing China R&D Center Suzhou FA Business Suzhou Shilin Electric & Engineering Co. Ltd. Suzhou China

ISBN: (数字)9798350375558

ISBN: (纸本)9798350375565

For the traditional Pulsated High-frequency Voltage Injection Method, the position sensorless control of PMSM requires the use of band-pass filter (BPF) and low-pass filter (LPF) in the zero-low-speed domain, and the use of the filters will bring about the filtering delay, which will cause the reduction of the precision of the position estimation and other problems, this paper proposes a method of combining the second order generalized integrator (SOGI) and the adaptive notch filter (ANF), i.e., SOGI-ANF, replacing the BPF and LPF with the SOGI-ANF, which does not generate displacement and amplitude drop at the selected frequency, effectively eliminates the estimation errors caused by conventional filters, thus improving the estimation accuracy. SOGI-ANF has a better rejection effect in the low and high frequency filtering stages compared with the traditional second order generalized integrator. Finally, the effectiveness of the strategy is verified on simulation software.

关键词： Band-pass filters Torque Accuracy Fluctuations Velocity control Software algorithms rotors Sensorless control Software Voltage control

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A rolling Bearing condition Assessment Method driven by data-Model

A Rolling Bearing Condition Assessment Method Driven by Data...

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Prognostics and System Health Management conference (PHM-Qingdao)

作者： Jirui Guan Yang Gao Yuntian Ta Bo Li Tiantian Wang Jinsong Xie New Technology Research Department of R&D CRRC ChangChun Railway Vehicles Co. Ltd Changchun China School of Traffic & Transportation Engineering Central South University Changsha China

ISBN: (数字)9798350354010

ISBN: (纸本)9798350354027

rolling bearings are critical components in the operation of machinery, and their performance directly affects the safety and stability of the entire system. However, the challenge lies in the difficulty of accurately capturing the wear process of rolling bearings, making it hard for traditional models to predict their actual operating conditions accurately. To overcome this problem, this study introduces a new data-model driven approach to assess the health of rolling element bearings. This new method first utilizes deep learning technology to build an advanced network model aimed at deeply analyzing and extracting key information during the bearing degradation process. By effectively integrating this key information, this paper construct an index system that accurately reflects the degradation trend of the bearings. Subsequently, the method employs stochastic process theory to establish a mathematical model of rolling bearing degradation, providing a detailed description of the degradation process. Finally, the previously constructed degradation indicators are input into this model to predict the remaining useful life of the bearings and assess their overall operating condition. This innovative assessment method allows for more precise monitoring and management of the health status of rolling bearings, providing strong technical support for equipment maintenance and fault prevention.

关键词： degradation deep learning Accuracy Stability criteria rolling bearings Stochastic processes Predictive models Mathematical models Trajectory Prognostics and health management

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deep-TransVOd: Improved Video Object detection with Low-rank Tensor decomposition

Deep-TransVOD: Improved Video Object Detection with Low-Rank...

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Smart World congress (SWC), IEEE

作者： Xinpeng Liu Yanjie Fang Weihua Liu School of Engineering Singapore Management University Singapore R&D Department Xi’an Duomexiong Network Technology Co. Ltd China China Mobile Research Institute Jiutian Group China

ISBN: (数字)9798331520861

ISBN: (纸本)9798331520878

This study advances Video Object detection (VOd) through optimization of the TransVOd Lite framework. Our enhancements utilize a Transformer Encoder to improve equivalent mapping and integrate low-rank matrix factorization, thereby eliminating the need for manual post-processing. This upgraded framework, named deep-TransVOd, is detailed in this paper. It highlights improvements in feature extraction and the implementation of multi-frame input, resulting in a substantial advancement in real-time automated anomaly detection within industrial environments.

关键词： Tensors Object detection Streaming media Transformers Feature extraction real-time systems reliability Anomaly detection Industrial Internet of Things Predictive maintenance

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Integrating Land Use Changes, Biomass dynamics, and Water Quality for Wetland restoration: A Case Study of Chaohu Lake Shibalianwei Wetland, China

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Journal of Geoscience and Environment Protection 2025年第4期13卷 366-392页

作者： Sajida Changming Yang Wazir Aitizaz Ahsan Zifang Wang College of Environmental Science and Engineering Tongji University Shanghai China UNEP-Tongji Institute of Environment for Sustainable Development (IESD) Shanghai China Ph.D. Program of Aquatic Science and Technology National Kaohsiung University of Science and Technology Kaohsiung China Science and Technology R&D Center Ouyeel Lianjin Recycling Resources Co. Ltd. Shanghai China

Wetlands are essential ecosystems that provide critical environmental services, including nutrient retention, water purification, biodiversity conservation, and climate regulation. However, anthropogenic activities such as urban expansion, agricultural runoff, and industrial pollution have severely degraded these ecosystems, necessitating targeted restoration efforts. This study assesses the effectiveness of restoration interventions in the Shibalianwei Wetland, a key component of the Chaohu Lake basin, by analyzing land use changes, biomass recovery, and water quality improvements. restoration strategies included vegetation re-establishment, hydrological modifications, and adaptive seasonal management over multiple years. Key findings indicate substantial improvements in water quality, with Total Nitrogen (TN) and Total Phosphorus (TP) concentrations in the wetland outflow reduced by up to 52% and 50%, respectively, during peak vegetation productivity. dissolved Oxygen (dO) levels consistently remained above 6.2 mg/L, while Chemical Oxygen demand (cod) declined by 38% during the summer months. These enhancements were strongly correlated with increased aboveground biomass (AGB), particularly in areas of restored vegetation, which peaked at 10,211 tons in 2021. However, subsequent declines in vegetation cover emphasized the challenges in sustaining long-term ecological gains due to seasonal variability and external pressures. This study highlights the importance of integrated ecological restoration strategies and positions the Shibalianwei Wetland as a significant buffer against eutrophication, contributing to the overall water quality improvement of Chaohu Lake. The results offer a scalable framework for restoring degraded wetland ecosystems and underscore the necessity for long-term monitoring, adaptive management strategies, and policy interventions to ensure sustainable restoration outcomes. By integrating land use, biomass recovery, and water quality assessments

关键词： Wetland restoration Assessment Chaohu Lake Land Use Changes Aboveground Biomass Water Quality

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differentially Private decentralized Traffic Flow Prediction Approach based on Federated Learning 10

Differentially Private Decentralized Traffic Flow Prediction...

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10th International conference on Information technology: IoT and Smart City, ICIT 2022

作者： Tang, Huimin Xue, Nianming Wang, Gaoli Shanghai Key Laboratory of Trustworthy Computing Software Engineering Institute East China Normal University Shanghai200062 China Shandong Luruan Digital Technology Co. Ltd. R&D Center Jinan250098 China

ISBN: (纸本)9781450397438

Existing centralized deep learning methods get surprising success in traffic flow prediction based on large-scale datasets. However, to protect the privacy of datasets, organizations are not allowed to share local datasets, which causes data exists as silos. The emergence of federated learning has broken this awkward situation. But the new challenge that puzzles us is how to provide meaningful privacy guarantees in federated learning. In this paper, we apply the federated learning to the intelligent transportation domain and propose a traffic flow prediction method based on long short-term memory (LSTM) networks and differential privacy. We introduce blockchain technology to verify the model update parameters in each round and achieve fully decentralized training. Experiments show that we can guarantee the accuracy of the model under a proper privacy budget, and the communication costs of our method are controllable. © 2022 ACM.

关键词： Long short-term memory

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review on Hybrid Power System of Hydrogen Fuel Cell Passenger Vehicles

Review on Hybrid Power System of Hydrogen Fuel Cell Passenge...

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2021 China Automation congress, CAC 2021

作者： Zhou, Mengting Jiang, Wei New Energy Automobile Technology R&D Center Guangzhou Automobile Group Co. Ltd Automotive Engineering Institute Guangzhou China

ISBN: (纸本)9781665426473

As a direction of development, hydrogen fuel cell passenger vehicle has a wide market due to its environment-friendly, high conversion efficiency, rapid filling of hydrogen and modularization. According to the connection mode, the hybrid power system topology is divided into direct connection structure and indirect connection structure, each of them has its own advantages and disadvantages. According to the power capacity of the fuel cell system and the battery, it can be divided into three kinds of types: energy compensation, power hybrid and full power, and the type of full power would be the trend for fuel cell passenger vehicle This article studies on three typical mass-production full-power hydrogen fuel cell passenger vehicles in the world, including Mirai, NEXO, and CLArITY. Analysis are made on their power system topology and parameters, in order to provide references for industry research. © 2021 IEEE

关键词： Fuel cells

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The effect of auditory feedback on user perception during rotary switch operation 24

The effect of auditory feedback on user perception during ro...

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24th International congress on Acoustics, ICA 2022

作者： Miyairi, Toru Shimomura, Hisato Shirasaka, Takeshi Otomo, Takashi Toi, Takeshi Graduate School of Science and Engineering Chuo University Japan Research and Development Department Tokyo Metropolitan Industrial Technology Research Institute Japan R&D Department Alps Alpine Co. Ltd. Japan Department of Science and Engineering Chuo University Japan

rotary switches are used in various in-vehicle devices and home appliances. It is well known that operating experience contributes to the overall user perception of product quality. This study examines the effect of sound on user perception during rotary switch operation. To this end, experiments were conducted in which participants were asked to evaluate their experience during switch operation corresponding to various values of click torque and in the presence and absence of sound. We used Japanese onomatopoeic expressions to evaluate the magnitude of tactile impressions-the participants rated the degree of consonance between their operating experience and the onomatopoeic expressions in each case on a 7-point scale. The results revealed that the scores of onomatopoeias conveying smooth impressions (e.g.,/suru-suru/) decreased in the presence of sound. In contrast, the scores of onomatopoeias conveying hard impressions (e.g., kata-kata/) increased in the presence of sound. The difference was particularly obvious corresponding to low values of click torque. These conclusions are expected to contribute to the complete understanding of the effects of auditory feedback on the operating experience of rotary switches. © ICA *** rights reserved

关键词： auditory feedback multi-modal perception rotary switch

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A Novel O2/N2 Plasma Photoresist Ashing Process with High Stripping rate and Uniformity under radio Frequency Bias Voltage

A Novel O2/N2 Plasma Photoresist Ashing Process with High St...

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International conference on (ICEPT) Electronic Packaging technology

作者： Jianwei Xian Huiqian Zhou Minbo Zhou Xinping Zhang Guangdong Provincial Engineering Technology R&D Center of Electronic Packaging Materials & Reliability and School of Materials Science & Engineering South China University of Technology Guangzhou China Dongguan SINDIN Precision Instrument Co. Ltd. Dongguan China

ISBN: (数字)9798350353808

ISBN: (纸本)9798350353815

The development of wafer-level packaging (WLP) technique relies heavily on the preparation of large-area redistribution layers (rdL). One crucial step in rdL fabrication is photoresist stripping, as the quality of this process affects greatly the integrity of rdL lines and the reliability of the packaging. In this study, the effects of two different plasma sources, radio-frequency (rF) inductively coupled plasma (ICP) and microwave (MW) remote plasma, on the removal of photoresist over large areas on eight-inch wafers were systematically investigated. Using the Taguchi method, the quality response characteristics of various equipment parameters (frequency, temperature, power, gas flow rate and gas composition) on the stripping rate and stripping uniformity were evaluated. Additionally, a single-factor level analysis of each equipment parameter was conducted to delve deeper into the influential trends of each factor on the ashing process. The results indicate that the major factors influencing the stripping rate are ionization frequency and temperature, whereas ionization frequency and O 2 concentration in mixed O 2 /N 2 plasma predominantly affect the stripping uniformity. The stripping rate significantly increases with raising temperature and power. Additionally, the presence of a small amount of N 2 in the O 2 /N 2 plasma brings about increase in the stripping rate, although pure oxygen plasma is preferable for achieving lower uniformity. By setting rF bias in the MW remote plasma, the stripping rate is increased from below 100 Å/min to over 250 Å/min, while maintaining the uniformity below 20%.

关键词： radio frequency Temperature Ionization resists Fluid flow Etching Plasmas

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The Effect of Plasma Surface Activation Treatment on Capillary Flow Wettability of the Underfill Adhesive in the Standoff Gap of Si/Underfill/Si Bonded Structure in 3d ICs

The Effect of Plasma Surface Activation Treatment on Capilla...

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International conference on (ICEPT) Electronic Packaging technology

作者： Huiqian Zhou Jianwei Xian Guangchao Lyu Minbo Zhou Xinping Zhang Guangdong Provincial Engineering Technology R&D Center of Electronic Packaging Materials & Reliability School of Materials Science & Engineering South China University of Technology Guangzhou China Dongguan SINDIN Precision Instrument Co. Ltd. Dongguan China

ISBN: (数字)9798350353808

ISBN: (纸本)9798350353815

The activation effects of mixed 02/ Ar plasma on the underfill capillary flow wettability in 100 µm sub-gap layers using radio-frequency capacitively coupled plasma (rF CCP) and microwave electron cyclotron resonance plasma (MW ECr) are systematically investigated in this study. To mimic the die/underfill/substrate structure in actual 2.5d/3d integrated packaging, the Si/underfill/Si adhesion structure is designed. results demonstrate that as the proportion of O2 in mixed 02/ Ar plasma increases, the surface energy at the substrate center rises steadily. Moreover, the enhancement of surface energy is greater using MW ECr than rF CCP, enabling rapid wetting and dispensing of underfill on both die and substrate layers. Surface energy components measurements reveal that the contribution of mixed 02/ Ar plasma to the surface energy of substrate is primarily due to an increase in the polar component. Analysis results of X-ray photoelectron spectroscopy (XPS) surface chemical compositions of the substrate center after plasma treatment show a decrease in the carbon contamination peak and the generation of specific polar functional groups (C=O, O-C=O, Si-OH). Subsequent underfill dispensing and curing after plasma activation treatment result in reduced delamination in the Si/underfill/Si structure, along with a decrease in porosity. This comprehensive characterization of plasma surface activation treatment brings a better understanding of plasma modification, plasma equipment, and the enhancement of reliability in advanced packaging.

关键词： radio frequency Three-dimensional displays Surface discharges Surface contamination Packaging Silicon Cleaning

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