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The 2023 International Conference on Display Technology, (ICDT 2023)

作者： Kang, Chengbin Prodanov, Maksym F. Song, Jianxin Gao, Yiyang Mallem, Kumar Vashchenko, Valerii V. Srivastava, Abhishek K. State Key Laboratory of Advanced Displays and Optoelectronics Technologies and Centre for Display Research Electronics and Computer Engineering Department The Hong Kong University of Science and Technology Clear Water Bay Hong Kong IAS Center for Quantum Technologies The Hong Kong University of Science and Technology Clear Water Bay Hong Kong

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Absolute longitudinal distance measurement verification of a standard polystyrene nanoparticle near a surface in water by means of multi-wavelength evanescent field 22

Absolute longitudinal distance measurement verification of a...

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22nd International Conference of the European Society for Precision engineering and Nanotechnology, EUSPEN 2022

作者： Blattler, Aran Khajornrungruang, Panart Suzuki, Keisuke Baba, Akiyoshi Goto, Daiki Graduate School of Computer Science and System Engineering Mechanical Information Science and Technology Course Kyushu Institute of Technology Fukuoka Japan Department of Intelligent and Control Systems Advanced Mechanical Division Kyushu Institute of Technology Fukuoka Japan Center of Microelectronic System Kyushu Institute of Technology Fukuoka Japan School of Computer Science and System Engineering Advanced Mechanical Course Kyushu Institute of Technology Fukuoka Japan

ISBN: (纸本)9781998999118

In the wet semiconductor process, abrasive nanoparticles are widely used in the chemical mechanical polishing (CMP) process to polish wafer surfaces for high planarization. During polishing, nanoparticles move with a high-speed three-dimensional (3D) position in the solution. In the 3D particles's moving positions, Z is a perpendicular longitudinal distance between the surface to the nanoparticle that plays a significant role in polishing, which could not be measured by general microscopy without longitudinal scanning. To understand nanoparticle phenomena near-surface, we have proposed and developed the apparatus with real-time fastmotion tracking on optical multi-wavelength evanescent fields microscopy to measure the 3D motion of the nanoparticle in water without scanning. In euspen's 2020, we could verify the relative distance ?Z of nanoparticles in water, but the absolute distance Z is unknown yet. In this manuscript, we have therefore developed an invisible nano-step height in water to verify the absolute height Z of an individual nanoparticle. The invisible nano-step height in water is made from an optical resin with a refractive index of 1.35 that is close to a refractive index of water to avoid unnecessary light during experimental verification. The nano-step height was less than 100 nm on a glass surface, fabricated using nanoimprint lithography. Polystyrene f100 nm standard particles in water were used to verify the height Z. The results of height Z of nanoparticles could be measured less than 100 nm with the measurement uncertainty ±10 nm (2s), which is related to the interferometer result of the nano-step height. © European Society for Precision engineering and Nanotechnology, Conference Proceedings - 22nd International Conference and Exhibition, EUSPEN 2022. All rights reserved.

关键词： Nanoparticles

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Digital Twin Ancient Architecture: The Exploration of the Digital Protection of Ancient Architecture

Digital Twin Ancient Architecture: The Exploration of the Di...

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作者： Li, Shanglin Lin, Anping School of Computer Science and Artificial Intelligence Xiangnan University Hunan Chenzhou423000 China Hunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems Hunan Chenzhou China School of Physics and Electronic Electrical Engineering Xiangnan University Hunan Chenzhou China

The digital protection of ancient architectures has achieved important achievements. However, technology development has encountered a bottleneck. The main problem is that the digitization of ancient buildings is limited to building static and isolated three-dimensional models, which cannot meet the increasing professional requirements of digital protection. To solve the above problems, the concept of digital twin ancient architecture (DTAA) is proposed, focusing on the high-dimensional data integration method of the DTAA, as well as the construction method and technical route. Finally, the development and application of digital twin ancient architecture are discussed. The proposed method can bring new ideas to the field of digital protection of ancient architectures. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： 3D modeling

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Autonomous Low Power Energy Management Bridge for Industry IoT Application 21

Autonomous Low Power Energy Management Bridge for Industry I...

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21st International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications, PowerMEMS 2022

作者： Yamamoto, Koki Utsumi, Shion Fujita, Takayuki Ebara Corporation Technologies R&D and Intellectual Property Division Japan University of Hyogo Department of Electrical Engineering and Computer Science Japan University of Hyogo Advanced Medical Engineering Research Institute Japan

ISBN: (纸本)9781665493062

This work reported the autonomous battery-less power management system for the IoT (Internet of Things) application that is based on thermoelectrical energy harvesting and power management IC (PMIC). In the proposed design for targeting IoT, the bridge part that transmits the signal from the local area network e.g., Wi-Fi or BLE (Bluetooth® low energy) to the long-range protocol is essential to optimization. It is focused on the collaboration with the LPWA (Low Power Wide Area) network and BLE protocol to realize them, the programmed system controls the power management system. Lastly, the design indicated the possibility to utilize the autonomous system in IoT applications as a monitoring system in the industry with TEG (Thermoelectric Generator) harvesting. Especially, the temperature difference of about 8.6 degrees Celsius could drive the IoT utility with charging time every 3 hours 40 minutes when hot-starting from capacitance energy that should be semi-permanently utilized are evaluated. The work described that it could be effectively utilized to expand the IoT applications as close to easily and at a low cost. © 2022 IEEE.

关键词： Energy harvesting

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High‑Energy-Density Fiber Supercapacitors Based on Transition Metal Oxide Nanoribbon Yarns for Comprehensive Wearable Electronics

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advanced Fiber Materials 2024年第6期6卷 1927-1941页

作者： Junseong Ahn Suchithra Padmajan Sasikala Yongrok Jeong Jin Goo Kim Ji‑Hwan Ha Soon Hyoung Hwang Sohee Jeon Junhyuk Choi Byung‑Ho Kang Jihyeon Ahn Jun‑Ho Jeong Sang Ouk Kim Inkyu Park Department of Electro‑Mechanical Systems Engineering Korea UniversitySejong 30019Republic of Korea Department of Materials Science and Engineering Korea Advanced Institute of Science and Technology(KAIST)Daejeon 34141Republic of Korea National Creative Research Initiative Center for Multi‑Dimensional Directed Nanoscale Assembly Korea Advanced Institute of Science and Technology(KAIST)Daejeon 34141Republic of Korea Department of Mechanical Engineering Korea Advanced Institute of Science and Technology(KAIST)Daejeon 34141Republic of Korea Department of Nano Manufacturing Technology Korea Institute of Machinery and Materials(KIMM)Daejeon 34103Republic of Korea Radioisotope Research Division Korea Atomic Energy Research Institute(KAERI)Daejeon 34057Republic of Korea

Fiber supercapacitors(FSs)based on transition metal oxides(TMOs)have garnered considerable attention as energy stor-age solutions for wearable electronics owing to their exceptional characteristics,including superior comfortability and low *** materials are known to exhibit high energy densities,high specific capacitances,and fast redox ***,current fabrication methods for these structures primarily rely on chemical deposition,often resulting in undesir-able material structures and necessitating the use of additives,which can degrade the electrochemical performance of such ***,physically deposited TMO nanoribbon yarns generated via delamination engineering of nanopatterned TMO/metal/TMO trilayer arrays are proposed as potential high-performance *** prepare these arrays,the target materials were initially deposited using a nanoline mold,and subsequently,the nanoribbon was suspended through selective plasma etching to obtain the desired twisted yarn *** of the direct formation of TMOs on Ni electrodes,a high energy/power density and excellent electrochemical stability were achieved in asymmetric FS devices incorporating CoNixOy nanoribbon yarns and graphene ***,a triboelectric nanogenerator,pressure sensor,and flexible light-emitting diode were synergistically combined with the *** integration of wearable electronic components,encompassing energy harvesting,energy storage,and powering sensing/display devices,is promising for the development of future smart textiles.

关键词： Fiber supercapacitor Transition metal oxide Nanoribbon yarn Wearable devices Nanostructuring

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Development of Ceramic 3D/4D Printing in China

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Additive Manufacturing Frontiers 2024年第4期3卷 3-28页

作者： Xinya Lu Guo Liu Jian Lu Department of Materials Science and Engineering City University of Hong KongHong Kong999077China CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Modern MechanicsUniversity of Science and Technology of ChinaHefei230027China CityU-Shenzhen Futian Research Institute Shenzhen518045China Hong Kong Branch of National Precious Metals Material Engineering Research Center City University of Hong KongHong Kong999077China Centre for Advanced Structural Materials City University of Hong Kong Shenzhen Research InstituteGreater Bay Joint DivisionShenyang National Laboratory for Materials ScienceShenzhen518057China

China derives its name from its rich legacy of traditional ceramic arts,which has inspired generations of people in China and beyond to improve their ceramic processing *** review categorises the various ceramic additive manufacturing techniques developed in China into dot-by-dot,line-by-line,and area-by-area additive manufacturing techniques,according to their corresponding dimensional printing *** techniques are categorised according to ISO standards,with an overview of representative achievements by Chinese research groups for each *** review also summarises and compares materials,printing parameters,and product properties in those studies,highlighting differences in printing speeds among different printing *** addition,milestones in contemporary ceramic four-dimensional(4D)printing are illustrated in terms of the new material(4D printing elastomer-derived ceramics),new process(4D additive-subtractive manufacturing of ceramics),and new function(4D printing shape memory ceramics).Finally,the prospects for ceramic printing and its applications are discussed.

关键词： Additive manufacturing Ceramic China 4D printing Additive–subtractive manufacturing Shape memory ceramics

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Theoretical and experimental study of phase transformation and twinning behavior in metastable high-entropy alloys

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Journal of Materials science & Technology 2022年第4期99卷 161-168页

作者： Zhibiao Yang Song Lu Yanzhong Tian Zijian Gu Jian Sun Levente Vitos Shanghai Key Laboratory of Advanced High-Temperature Materials and Precision Forming School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240China Applied Materials Physics Department of Materials Science and EngineeringRoyal Institute of TechnologyStockholm SE-10044Sweden Key Laboratory for Anisotropy and Texture of Materials(Ministry of Education) School of Materials Science and EngineeringNortheastern UniversityShenyang 110819China Division of Materials Theory Department of Physics and Materials ScienceUppsala UniversityP.O.Box 516Uppsala SE-75120Sweden Research Institute for Solid State Physics and Optics Wigner Research Center for PhysicsBudapest H-1525P.O.Box 49Hungary

Combined theoretical and experimental efforts are put forward to study the critical factors influencing deformation mode transitions in face-centered cubic *** revisit the empirical relationship between the stacking fault energy(SFE)and the prevalent deformation *** ab initio calculated SFE,we establish the critical boundaries between various deformation modes in the model Cr-Co-Ni solid solution *** agreement between theoretical predictions and experimental observations are *** findings shield light on applying quantum mechanical calculations in designing transformation-induced plasticity and twinning-induced plasticity mechanisms for achieving advanced mechanical properties.

关键词： Metastable alloys Stacking fault energy Twinning Martensitic transformation Co-Cr-Ni alloys

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Room-temperature third-order nonlinear Hall effect in Weyl semimetal TalrTe4

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National science Review 2022年第12期9卷 177-184页

作者： Cong Wang Rui-Chun Xiao Huiying Liu Zhaowei Zhang Shen Lai Chao Zhu Hongbing Cai Naizhou Wang Shengyao Chen Ya Deng Zheng Liu Shengyuan A.Yang Wei-Bo Gao College of Mathematics and Physics Beijing University of Chemical Technology Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University Institute of Physical Science and Information Technology Anhui University Research Laboratory for Quantum Materials Singapore University of Technology and Design School of Materials Science and Engineering Nanyang Technological University CAS Center for Excellence in Nanoscience National Center for Nanoscience and Technology The Photonics Institute and Centre for Disruptive Photonic Technologies Nanyang Technological University

The second-order nonlinear Hall effect observed in the time-revers al symmetric system has not only shown abundant physical content,but also exhibited potential application ***,a third-order nonlinear Hall effect has been observed in MoTe2and ***,few-layer MoTe2and WTe2are usually unstable in air and the observed third-order nonlinear Hall effect can be measured only at low temperature,which hinders further investigation as well as potential ***,exploring new air-stable material systems with a sizable third-order nonlinear Hall effect at room temperature is an urgent ***,in type-Ⅱ Weyl semimetal TaIrTe4,we observed a pronounced third-order nonlinear Hall effect,which can exist at room temperature and remain stable for *** third-order nonlinear Hall effect is connected to the Berry-connection polarizability tensor instead of the Berry *** possible me chanism of the observation of the third-order nonlinear Hall effe ct in TaIrTe4at room temperature has been *** findings will open an avenue towards exploring room-temperature nonlinear devices in new quantum materials.

关键词： topological material third-order nonlinear Hall effect room temperature Berry connection polarizability tensor

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Water Wastage Detection in Smart Homes Through IoT and Machine Learning

Water Wastage Detection in Smart Homes Through IoT and Machi...

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Consumer Communications and Networking Conference, CCNC IEEE

作者： Chiara Brunelli Gianmarco Pappacoda Ivan Zyrianoff Luciano Bononi Marco Di Felice Department of Computer Science and Engineering University of Bologna Italy Advanced Research Center on Electronic Systems “Ercole De Castro” University of Bologna Italy

Promoting sustainable water usage is a critical imperative across all sectors of society. Households are no exception since a significant portion of water is wasted daily due to inefficient appliances or improper habits. Thus, there is a need for innovative solutions that not only improve water utilization but also raise residents' awareness about this issue. This paper presents a promising solution leveraging the Internet of Things (IoT) and Machine Learning (ML) techniques to detect water wastage stemming from sink usage automatically. We have designed and developed a low-cost prototype equipped with an array of sensors, including a microphone, an ultrasonic sensor, and a PIR, to monitor sink usage. A deep learning model based on Gated Recurrent Units (GRU) has been trained to classify the wastage events. To validate our concept, we have gathered a small dataset relative to nine common daily water usage activities through the IoT prototype. Our preliminary findings demonstrate the feasibility of our solution, with an average accuracy exceeding 90% in detecting wastage events.

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Enhancing Sensor-based Human Activity Recognition Using Hybrid Deep Learning and Data Augmentation 5

Enhancing Sensor-based Human Activity Recognition Using Hybr...

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5th research, Invention, and Innovation Congress: Innovative Electricals and Electronics, RI2C 2024

作者： Mekruksavanich, Sakorn Phaphan, Wikanda Jitpattanakul, Anuchit School of Information and Communication Technology University of Phayao Department of Computer Engineering Phayao Thailand King Mongkut's University of Technology North Bangkok Research Group in Statistical Learning and Inference Faculty of Applied Science Department of Applied Statistics Bangkok Thailand King Mongkut's University of Technology North Bangkok Intelligent and Nonlinear Dynamic Innovations Research Center Faculty of Applied Science Department of Mathematics Bangkok Thailand

ISBN: (纸本)9798331505998

Human Activity Recognition (HAR) is essential in various applications, including wellness tracking, automated residences, and fitness monitoring. In the past few decades, sensor-based HAR has become increasingly popular due to advancements in technologies for sensors. Nevertheless, HAR networks' effectiveness dramatically depends on the caliber and volume of the training data, which is frequently restricted and unevenly distributed. This research introduces a novel deep learning method called Multihead-CNN-BiGRU, which integrates one-dimensional convolutional neural networks with bidirectional gated recurrent units (BiGRU) to improve the accuracy of sensor-based HAR. To tackle the problem of insufficient a nd uneven training data, we utilize the synthetic minority over-sampling technique (SMOTE) to augment the data. The suggested model is assessed using the publicly accessible WISDM dataset, which comprises sensor data from diverse human actions. The ID-CNN is employed for extracting localized characteristics from the sensor data, while the BiGRU gathers temporal dependencies and contextual information. The hybrid architecture allows the model to acquire spatial and temporal patterns efficiently. In addition, the SMOTE technique is utilized to create artificial samples of the underrepresented classes, thus equalizing the distribution of classes and enhancing the model's capacity to generalize. The experimental findings show that our hybrid strategy provides exceptional outcomes when paired with SMOTE data augmentation. It obtains the most excellent accuracy of 99.51 % and the highest F1-score of 99.49% compared to the most advanced approaches. The suggested framework provides a reliable and precise solution for sensor-based HAR, which opens up opportunities for improved applications in other fields. © 2024 IEEE.

关键词： Spatio-temporal data

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