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Recent progress in tactile sensors and their applications in intelligent systems

Science Bulletin 2020年第1期65卷 70-88,M0004页

作者： Yue Liu Rongrong Bao Juan Tao Jing Li Ming Dong Caofeng Pan CAS Center for Excellence in Nanoscience Beijing Key Laboratory of Micro-nano Energy and SensorBeijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing 100083China College of Physics and Optoelectronic Engineering Shenzhen UniversityShenzhen 518060China School of Nanoscience and Technology University of Chinese Academy of SciencesBeijing 100049China Center on Nanoenergy Research School of Physical Science and TechnologyGuangxi UniversityNanning 530004China Beijing Institute of Tracking and Telecommunications Technology Beijing 100094China

With the rapid development of intelligent technology,tactile sensors as sensing devices constitute the core foundation of intelligent *** organs that can sense various stimuli play vital roles in the interaction between human beings and the external *** by this fact,research on skin-like tactile sensors with multifunctionality and high performance has attracted extensive *** overview of the development of high-performance tactile sensors applied in intelligent systems is systematically ***,the development of tactile sensors endowed with stretchability,selfhealing,biodegradability,high resolution and self-powered capability is ***,for intelligent systems,tactile sensors with excellent application prospects in many fields,such as wearable devices,medical treatment,artificial limbs and robotics,are ***,the future prospects of tactile sensors for intelligent systems are discussed.

关键词： Tactile sensor Intelligent system Self-powered capability Biodegradability Self-healing

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Graph-Weighted High-Dimensional Information-Based Similarity for Detecting Altered Brain Functional Connectivity in Sleep Apnea Patients

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IEEE Transactions on Instrumentation and Measurement 2025年 74卷

作者： Lu, Yanxun Fei, Zhe Zhang, Jingtao Chen, Zhuo Chen, Mingjing Wang, Changhong Liu, Guanzheng Sun Yat-sen University School of Biomedical Engineering Guangdong Shenzhen518000 China Sun Yat-sen University Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument School of Biomedical Engineering Guangdong 518000 China University of Southern California Department of Biomedical Engineering Los AngelesCA90089 United States

Sleep apnea (SA) is a common respiratory disease associated with changes in the cortical connectivity pattern of the brain, leading to a growing social and medical burden. The electroencephalogram (EEG)-based analysis can help to understand the pathological mechanism of SA in the brain. Information-based similarity (IBS) is an effective method for measuring the nonlinear similarity of two physiological signals and has the potential for SA screening. However, the traditional IBS method can only extract local information, failing to fully capture pathological EEG patterns characterized by critical cross-frequency dynamics and regional variability. To address these issues, we propose graph-weighted high-dimensional information-based similarity (HGIBS), which integrates 2-D IBS into global information, thus improving the accuracy and reliability of SA detection. We use EEG energy sequences from multiple brain regions and frequency bands, divide their wave patterns into several modes, and calculate their similarity by comparing the distribution of the appearance frequency of the modes. Additionally, we construct the brain network graph and extend the calculation of similarity to high-dimensional space, thereby integrating local information into global information. We evaluated the performance of the HGIBS method on dataset of 88 participants and achieved a correlation between HGIBS and apnea-hypopnea index (AHI) of 0.730, with an accuracy of 89.4% in severe SA classification, demonstrating the superiority. This method has the potential to become a new SA screening indicator and provide a deeper understanding of the pathological mechanism of SA research. © 1963-2012 IEEE.

关键词： Electrocardiography

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Real-time measurement with fiber optical surface plasmon resonance sensor for biochemical interaction analysis

arXiv

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arXiv 2019年

作者： Tan, Zhixin Li, Xuejin Chen, Yuzhi Fan, Ping College of Physics Science and Technology Shenzhen Key Laboratory of Sensor Technology Shenzhen University Guangdong518060 China

In this paper we report a fiber optical sensor system based on surface plasmon resonance (SPR) with real-time response for biochemical interaction analysis. The fiber sensor is produce from a multi-mode fiber with plastic cladding. To facilitate the measurement, a software program is developed which integrates the data acquisition and processing for real-time feedback. Polynomial fitting is implemented to smooth out the noise in transmission ratio and a spectral resolution of 0.2 nm is achieved. Ethyl alcohol and water mixtures of different concentration are measured to demonstrate the system real-time ability. This work is essential for the development of a compact, real-time fiber SPR biosensor. Copyright © 2019, The Authors. All rights reserved.

关键词： Surface plasmon resonance

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Dynamics of polar skyrmion bubbles under electric fields

arXiv

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arXiv 2021年

作者： Zhu, Ruixue Jiang, Zhexin Zhang, Xinxin Zhong, Xiangli Tan, Congbing Liu, Mingwei Sun, Yuanwei Li, Xiaomei Qi, Ruishi Qu, Ke Liu, Zhetong Wu, Mei Li, Mingqiang Huang, Boyuan Xu, Zhi Wang, Jinbin Liu, Kaihui Gao, Peng Wang, Jie Li, Jiangyu Bai, Xuedong Electron Microscopy Laboratory and International Center for Quantum Materials School of Physics Peking University Beijing100871 China Department of Engineering Mechanics Zhejiang University Zhejiang Hangzhou310027 China School of Materials Science and Engineering Xiangtan University Hunan Xiangtan411105 China Hunan Provincial Key Laboratory of Intelligent Sensors and Advanced Sensor Materials School of Physics and Electronics Hunan University of Science and Technology Hunan Xiangtan411201 China Beijing National Laboratory for Condensed Matter Physics Institute of Physics Chinese Academy of Sciences Beijing100190 China Guangdong Provincial Key Laboratory of Functional Oxide Materials and Devices Southern University of Science and Technology Guangdong Shenzhen518055 China Department of Materials Science and Engineering Southern University of Science and Technology Guangdong Shenzhen518055 China Key Laboratory of Soft Machines and Smart Devices of Zhejiang Province Zhejiang University Zhejiang Hangzhou310027 China State Key Laboratory for Artificial Microstructure and Mesoscopic Physics School of Physics Peking University Beijing100871 China Collaborative Innovation Centre of Quantum Matter Beijing100871 China

Room-temperature polar skyrmion bubbles that are recently found in oxide superlattice, have received enormous interests for their potential applications in nanoelectronics due to the nanometer size, emergent chirality, and negative capacitance. For practical applications, the ability to controllably manipulate them by using external stimuli is prerequisite. Here, we study the dynamics of individual polar skyrmion bubbles at the nanoscale by using in situ biasing in a scanning transmission electron microscope. The reversible electric field-driven phase transition between topological and trivial polar states are demonstrated. We create, erase and monitor the shrinkage and expansion of individual polar skyrmions. We find that their transition behaviors are substantially different from that of magnetic analogue. The underlying mechanism is discussed by combing with the phase-field simulations. The controllable manipulation of nanoscale polar skyrmions allows us to tune the dielectric permittivity at atomic scale and detailed knowledge of their phase transition behaviors provides fundamentals for their applications in nanoelectronics. © 2021, CC BY.

关键词： Electric fields

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Distributed Edge Caching with Content Recommendation in Fog-RANs Via Deep Reinforcement Learning

Distributed Edge Caching with Content Recommendation in Fog-...

引用

IEEE International Conference on Communications Workshops, ICC

作者： Jie Yan Yanxiang Jiang Fuchun Zheng F. Richard Yu Xiqi Gao Xiaohu You National Mobile Communications Research Laboratory Southeast University Nanjing China State Key Laboratory of Integrated Services Networks Xidian University Xi'an China Key Laboratory of Wireless Sensor Network & Communication Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai China School of Electronic and Information Engineering Harbin Institute of Technology Shenzhen China School of Information Technology Carleton University Canada

ISBN: (数字)9781728174402

ISBN: (纸本)9781728174419

In this paper, the distributed edge caching problem with dynamic content recommendation is investigated in fog radio access networks (F-RANs). Firstly, the joint caching and recommendation policy is transformed into a `single' caching policy by incorporating the recommendation policy into the cache policy and the corresponding training complexity is halved. Considering that there is no existing user requests dataset involving content recommendation, we propose a time-varying personalized user request model to describe the fluctuant demands of each user after content recommendation. Then, to maximize the long-term net profit of each fog access point (F-AP), we formulate the caching optimization problem and resort to a reinforcement learning (RL) framework. Finally, to circumvent the curse of dimensionality of RL and speed up the convergence, we propose a double deep Q-network (DDQN) based distributed edge caching algorithm to find the optimal caching policy with content recommendation. Simulation results show that the average net profit of our proposed algorithm is increased by nearly half compared with the traditional methods. Besides, content recommendation could indeed accelerate the convergence and increase cache efficiency.

关键词： Optimization Servers Machine learning Radio access networks Training Complexity theory Convergence

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Hierarchical Cooperative Caching in Fog Radio Access Networks: A Brain Storm Optimization Approach

Hierarchical Cooperative Caching in Fog Radio Access Network...

引用

GLOBECOM 2020 - 2020 IEEE Global Communications Conference

作者： Xuan Chen Yanxiang Jiang Baotian Fan Fu-Chun Zheng Dusit Niyato Xiaohu You Key Laboratory of Wireless Sensor Network & Communication Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai China School of Electronic and Information Engineering Harbin Institute of Technology Shenzhen China School of Computer Engineering Nanyang Technological University (NTU) Singapore National Mobile Communications Research Laboratory Southeast University Nanjing China

ISBN: (数字)9781728182988

ISBN: (纸本)9781728182995

In this paper, the cooperative caching problem in fog radio access networks (F-RANs) is investigated. To minimize the content request delay, we formulate the hierarchical cooperative caching optimization problem to find the optimal caching policy. Considering the non-deterministic polynomial hard (NP-hard) property of this problem, we propose a brain storm optimization (BSO) approach which utilizes the penaltybased fitness function in individuals evaluation to meet the storage capacity constraint and the genetic algorithm (GA) in new individuals generation to meet the integer constraint, respectively. To further reduce the computational complexity, we propose to implement the convergent operation in the objective space via individuals classification. Simulation results show that our proposed BSO-based hierarchical cooperative caching policy achieves remarkable performance in minimizing the content request delay.

关键词： Delays Cooperative caching Servers Optimization Computational complexity Storms Statistics

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SEBF: A single-chain based extension model of blockchain for fintech 29

SEBF: A single-chain based extension model of blockchain for...

引用

29th International Joint Conference on Artificial Intelligence, IJCAI 2020

作者： Ji, Yimu Gu, Weiheng Chen, Fei Xiao, Xiaoying Sun, Jing Liu, Shangdong He, Jing Li, Yunyao Zhang, Kaixiang Mei, Fen Wu, Fei School of Computer Science Nanjing University of Posts and Telecommunications Nanjing China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing China Institue of High Performance Computing and Bigdata Nanjing University of Posts and Telecommunications Nanjing China Nanjing Center of HPC China Nanjing China Jiangsu HPC and Intelligent Processing Engineer Research Center Nanjing China Institute of Information Technology Nanjing University of Finance and Economics Nanjing China School of Software and Electrical Engineering Swinburne University of Technology Hawthorn Australia WeBank Co. Ltd. Shenzhen China College of Automation Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9780999241165

The traditional blockchain has the shortcoming that a single-chain can only deal with one or a few specific data types. The research question of how to make blockchain be able to deal with various data types has not been well studied. In this paper, we propose a single-chain based extension model of blockchain for fintech (SEBF). In the financial environment, we design a four-layer architecture for this model. By employing the external trusted oracle group and a financial regulator agency, a variety types of data can be effectively stored in the blockchain, such that the data type extension based on a single-chain is realized. The experimental results indicate that the proposed model can improve the efficiency of simplified payment verification. © 2020 Inst. Sci. inf., Univ. Defence in Belgrade. All rights reserved.

关键词： Blockchain

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[email protected] core-shell microspheres for improved ethanol gas sensing

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sensors and Actuators B: Chemical 2019年 284卷 421-427页

作者： Guojian Ren Zhimeng Li Weiting Yang Muhammad Faheem Jianbo Xing Xiaoqin Zou Qinhe Pan Guangshan Zhu Yu Du Key Laboratory of Advanced Materials of Tropical Island Resources Ministry of Education College of Materials and Chemical Engineering Hainan University Haikou 570228 PR China Key Laboratory of Polyoxometalate Science of the Ministry of Education Faculty of Chemistry Northeast Normal University Changchun 130024 PR China Shenzhen Key Laboratory of Sensor Technology College of Physics and Energy Shenzhen University Shenzhen 518060 PR China

The [email protected] (ZIF-8 = zeolite imidazolate framework-8) core-shell material was synthesized by the self-template method. The positive effects of the structure and morphology of ZIF-8 pre-concentrator on the sensing property of ZnO microsphere were investigated by FTIR, XRD, SEM and TEM characterizations, as well as gas detection measurement. The synthesized [email protected] core-shell material exhibited much higher sensor response (35.90), selectivity and stability compared with pure hollow ZnO microsphere (14.54) at an optimal temperature of 160°C when exposed to ethanol than other volatile organic compounds (VOCs). The obtained results suggested that [email protected] core-shell material is efficient in sensing ethanol than pristine ZnO microsphere, showing potential application as a selective ethanol detector.

关键词： [email protected] Core-shell material Gas sensing

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Indium-doped BiFeO₃ gas sensors for the high-sensitivity and selective SO₂F₂ detection

Journal of Alloys and Compounds Communications

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Journal of Alloys and Compounds Communications 2024年 3卷

作者： Salah Ud Din Mahmood Ul Haq Muhammaad Azeem Ullah Sufaid Shah Ayesha Azeem Matin Ashurov Fatima Sarwar Maksym Stesenko Liping Zhu Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province School of Engineering Westlake University Hangzhou China State Key Laboratory of Silicon Materials School of Materials Science and Engineering Cyrus Tang Centre for Sensor Materials and Applications Zhejiang University Hangzhou 310027 China School of Microelectronics Southern University of Science and Technology Shenzhen China School of Materials Science and Engineering Jiangsu University Zhenjiang 212013 China School of Science Westlake University 18 Shilongshan Road Hangzhou Zhejiang 310024 China School of Materials Science and Engineering Shaanxi Normal University Xian Shaanxi 710062 China

A novel gas sensor based on In-doped BiFeO 3 was devised to enhance the sensitivity and selectivity for detecting sulfur hexafluoride (SF 6 ) decomposition products, specifically sulfuryl fluoride (SO 2 F 2 ). The sensor was fabricated using an electrospun technique and hydrothermal approach followed by low-temperature pyrolysis at 250°C, achieving a single-phase BiFeO 3 perovskite structure. The In-doped BiFeO 3 sensor exhibits remarkable sensitivity (17.8) with a detection limit of 100 ppm for SO 2 F 2 and outstanding selectivity, effectively minimizing responses to the interfering gases. The In-doping into the BiFeO 3 results in uniform tubular nanofibers with an increased specific surface (63.53 m 2 g −1 ) area, larger pore size (38.17 nm), and reduced grain size. The microstructural enhancements, along with the catalytic activity of In nanoparticles and the formation of p/n junctions facilitating charge transfer and diffusion, lead to the improved sensing capabilities such as lower operating temperatures, higher gas responses, and moderate response/recovery times. This sensor design is tailored for the practical indoor and on-road detection of SO 2 F 2 in industrial applications, contributing to the creation of smart and sustainable urban environments by ensuring a safe and healthy atmosphere.

关键词：

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Analysis of Delay and Energy Efficiency in Fog Radio Access Networks with Hybrid Caching

Analysis of Delay and Energy Efficiency in Fog Radio Access ...

引用

IEEE Globecom Workshops

作者： Chaoyi Wan Yanxiang Jiang Fu-Chun Zheng Pengcheng Zhu Xiqi Gao Xiaohu You National Mobile Communications Research Laboratory Southeast University Nanjing China State Key Laboratory of Integrated Services Networks Xidian University Xi’an China Key Laboratory of Wireless Sensor Network & Communication Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai China School of Electronic and Information Engineering Harbin Institute of Technology Shenzhen China

ISBN: (数字)9781728109602

ISBN: (纸本)9781728109619

In this paper, delay and energy efficiency (EE) are investigated in three-tier fog radio access networks (F-RANs) with hybrid caching. By using tools from stochastic geometry, we firstly derive tractable expressions of delay for coded cached, non-partitioned cached and uncached files. Then, we derive tractable expressions of EE by jointly considering power consumed in circuits, transmissions and backhaul links. To balance delay and EE, the corresponding multi-objective optimization problem is formulated to obtain the optimal hybrid caching strategy. Numerical results show the flexibility of the proposed optimal hybrid caching strategy in delay-sensitive and EE-sensitive scenarios, and that fog access point (F-AP) density has a more significant impact on delay-sensitive scenarios than EE-sensitive scenarios.

关键词： Delays Servers Rayleigh channels Radio access networks Geometry Optimization

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