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GPDP: Game-Enhanced Personalized Differentially Private Smart Community

GPDP: Game-Enhanced Personalized Differentially Private Smar...

IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom) Green Computing and Communications (GreenCom)

作者： Yuping Zhang Youyang Qu Longxiang Gao Bruce Gu Lei Cui Xuemeng Zhai School of Network & Communication Chendu Technological University Chendu Sichuan China School of Information Technology Deakin University Geelong VIC Australia College of Engineering and Science Victoria University Footscary VIC Australia Key Laboratory of Advanced Control and Intelligent Information System Taiyuan University of Science and Technology Taiyuan Shanxi China College of Engineering and Science University of Electronic Science and Technology of China Chengdu Sichuan China

ISBN: (纸本)9781665417631

Smart community, as a key component of Internet of Things (IoT), is experiencing fast booming, which significantly enhances residents' quality of life. Using fog computing to establish a smart community is an effective way to further develop smart and sustainable cities due to the reduction of bandwidth consumption and latency. However, privacy issues are emerging because the continuous attacks are putting sensitive information under great threats. Motivated by this, we propose a differentially private smart community model with personalized privacy protection. Differential privacy is deployed in a personalized way while a logarithmic function is leveraged to map data sensitivity to privacy protection level. Extensive evaluation results show the advantages of the proposed model from the perspective of the optimized trade-off between personalized privacy protection and data utility.

关键词： Differential privacy Privacy Sensitivity Smart cities Computational modeling Bandwidth Data models

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Human-like Walking of a Biped Robot Actuated by Pneumatic Artificial Muscles and Springs*

Human-like Walking of a Biped Robot Actuated by Pneumatic Ar...

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IEEE International Conference on Automation Science and Engineering (CASE)

作者： Yixiang Liu Qing Bi Xizhe Zang Yibin Li School of Control Science and Engineering Shandong University Jinan China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China Engineering Research Center of Intelligent Unmanned System Ministry of Education Jinan China Shandong Institute of Advanced Technology Chinese Academy of Sciences Jinan China

ISBN: (数字)9781728169040

ISBN: (纸本)9781728169057

Human walking gait is much more natural looking and energy efficient compared with biped robots. This paper presents a bio-inspired approach to realizing more human-like biped robotic walking. For this purpose, a biped robot actuated coordinately by pneumatic artificial muscles and springs is developed, capable of exploiting passive compliance of the mechanical system in locomotion. And a control scheme for human-like walking is designed based on finite state machine. Experiments show that the biped robot can walk stably on the treadmill even with some small obstacles. The realized gait has the important features of human walking, including heel strike and toe off, stretched knees, and variation in the height of the body's center of mass, which demonstrates the effectiveness of the proposed approach.

关键词： Conferences Automation Computer aided software engineering

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Wireless Network Monitoring system for River Ice Environment Based on a Data Fusion Algorithm

Wireless Network Monitoring System for River Ice Environment...

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作者： Zhen-yu ZHONG Li ZHANG Jian-min QIN Ze-yu ZHONG Li-qin CUI Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi ProvinceTaiyuan University of Technology China Mobile Group Co. Ltd. State Grid Taiyuan Power Supply Company

There are still quite a few problems in river ice environment monitoring by remote monitoring network, such as the increase of the various sensor nodes and network capacity overload due to the dense deployment, and the decrease of the life expectance of the network. In view of this, the improved K-means data fusion algorithm was proposed to fuse a variety of data by a novel self-developed sensor. Furthermore, the resilient BP network was employed to build a data model database, so as to identify the overall river ice environment at the back-end remotely in real time. Simulation verification and comparison test results show that the proposed algorithm can achieve efficient and accurate data transmission by various sensors and the existing sensor network during the real-time monitoring of the river ice environment.

关键词： River ice Wireless network monitoring Data fusion Data fusion algorithm

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Visual Servoing of Magnetic Swimming Robot Based on Mean Shift and Fast Template Matching Algorithm

Visual Servoing of Magnetic Swimming Robot Based on Mean Shi...

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IEEE International Conference on Robotics and Biomimetics

作者： Hongbiao Xiang Tilei Zhang Mengwei Li Shoujun Wang Xiuping Yang Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin University of Technology Tianjin China

The actuation and control of mini-scale swimming robots have exhibit promising potential in limited and constrained environments, such as biomedical, micro-assembly and microfluidic applications. However, closed-loop control is still a challenging for the precision and repeatability in those applications. In this paper, a new type of soft-micro swimming robot based on magnetoelastic composite material is designed, and the swimmer can move freely on the water surface controlled by a rotating magnetic field with visual servoing. The visual feedback control strategy is proposed based on Mean Shift Algorithm and Fast Template Matching. The algorithm includes three parts: prediction, template matching, target positioning and template updating. To understand the characteristics of the swimmer, the relationship between swimming speed and magnetic field strength and frequency is verified by the algorithm in experiments. Furthermore, the proposed path following method with visual servoing applied in this control system. The experimental results show that the algorithm runs fast, has high accuracy and good real-time performance, and can provide great potential in mini-scale robot applications.

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Atom-assisted second-order sideband generation in an optomechanical system with atom-cavity-resonator coupling

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Physical Review A 2019年第6期99卷 063810-063810页

作者： Bin Chen Lei Shang Xiao-Fang Wang Jian-Bin Chen Hai-Bin Xue Xin Liu Jie Zhang Department of Physics College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan Shanxi 030024 China Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province Taiyuan Shanxi 030024 China State Key Laboratory of Quantum Optics and Quantum Optics Devices Shanxi University Taiyuan 030006 China

Second-order sideband generation (SSG) is investigated in an optomechanical system with atom-cavity-resonator coupling. We focus mainly on the effect of the atomic ensemble trapped in the cavity on the SSG. The numerical results show that the second-order sideband is induced not only for the blue probe-pump detuning resonant case but also for the red one while coupling the atoms with the cavity. Moreover, it is found that the efficiency of the SSG can be significantly enhanced while increasing the atom-cavity coupling strength. More interestingly, the SSG is also sensitive to the atom-pump detuning. It is demonstrated that when optimizing this detuning and the atom-cavity coupling strength together, a robust second-order sideband can be induced and the efficiency of the SSG even surpasses the one of the first-order sideband generation. In addition, the efficiency of the SSG can also be tuned effectively by the decay rate of the atom.

关键词： Atoms, ions, & molecules in cavities Optomechanics Second order nonlinear optical processes Perturbative methods Rotating wave approximation

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Non-invasive optical focusing inside strongly scattering media with linear fluorescence

arXiv

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arXiv 2020年

作者： Li, Dayan Sahoo, Sujit Kumar Lam, Huy Quoc Wang, Dong Dang, Cuong Nanyang Technological University Singapore 50 Nanyang Avenue Singapore639798 Singapore School of Electrical Sciences Indian Institute of Technology Goa Goa403401 India Temasek Laboratories @ Nanyang Technological University 50 Nanyang Avenue 639798 Singapore Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan030024 China

Non-invasive optical focusing inside scattering media is still a big challenge because inhomogeneous media scatter both incoming photons for focusing and outgoing photons for observation. Various approaches, utilizing non-linear fluorescence or ultrasound, have been reported to address this difficulty. However, implementation of these methods is complicated and highly expensive, as ultrafast laser systems or photo-acoustic equipment must be employed. Here, we demonstrate a wavefront shaping technique to achieve non-invasive focusing (NiF) inside scattering media using only a linear fluorescent signal. Contrast and mean of incoherent speckles, produced by the linear fluorescence, are utilized as feedback signals to optimize the input wavefront. While increasing speckle contrast makes the focus tighter, and increasing the speckle mean enhances the intensity, fine-tuning the contribution of these two factors in our two-step optimization is essential. An optimal wavefront is found to achieve simultaneously both a micrometer focal spot size (down to 20 μm diameter) and high intensity (more than a 100-fold enhancement) inside the scattering media. Our method promises a new route in life science towards focusing, imaging or manipulating deep into biological tissues with linear fluorescent agents. Copyright © 2020, The Authors. All rights reserved.

关键词： Fluorescence

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Transformer-LSTM-KOA: A novel approach for prediction of chlorophyll in the South China Sea

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Environmental Modelling & Software 2025年 192卷

作者： Gang Chen Zhenzhong Liu Runfeng Zhang Guobin Zhang Jutao Wang Tongrui Zhang Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin 300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education (Tianjin University of Technology) Tianjin China School of Environmental Science and Safety Engineering Tianjin University of Technology Tianjin 300384 China Tianjin Hanhailanfan Marine Technology Co. Ltd. Tianjin 300457 China

Chlorophyll is a critical indicator of marine primary productivity and is essential in assessing aquatic ecosystem health. To address the limitations of current prediction models regarding accuracy, mobility, and reliability, this study proposes a novel Transformer-LSTM-KOA model for Chlorophyll prediction. Leveraging remote sensing data from the South China Sea, the model synergistically integrates Transformer's global analytical capabilities via self-attention and multi-head attention mechanisms with LSTM's proficiency in capturing long-term dependencies through gated mechanisms. The Kepler Optimization Algorithm (KOA) is subsequently employed to systematically optimize both global and local model parameters, thereby enhancing adaptability and robustness across diverse prediction datasets. Experimental results demonstrate superior performance with MSE and MAE values of 0.00011 and 0.00685, respectively, outperforming benchmark models. This enhanced modeling framework provides crucial technical support for marine ecological forecasting and early warning systems.

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Optical super-resolution effect induced by nonlinear characteristics of graphene oxide films

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Optoelectronics Letters 2018年第1期14卷 21-24页

作者：赵永创聂仲泉翟爱平田彦婷刘超史长坤贾宝华 Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province College of Physics and Optoelectronics Taiyuan University of Technology Centre for Micro-Photonics Faculty of Science Engineering and Technology Swinburne University of Technology

In this work, we focus on the optical super-resolution effect induced by strong nonlinear saturation absorption(NSA) of graphene oxide(GO) membranes. The third-order optical nonlinearities are characterized by the canonical Z-scan technique under femtosecond laser(wavelength: 800 nm, pulse width: 100 fs) excitation. Through controlling the applied femtosecond laser energy, NSA of the GO films can be tuned continuously. The GO film is placed at the focal plane as a unique amplitude filter to improve the resolution of the focused field. A multi-layer system model is proposed to present the generation of a deep sub-wavelength spot associated with the nonlinearity of GO films. Moreover, the parameter conditions to achieve the best resolution(~λ/6) are determined entirely. The demonstrated results here are useful for high density optical recoding and storage, nanolithography, and super-resolution optical imaging.

关键词： GO Optical super-resolution effect induced by nonlinear characteristics of graphene oxide films NSA

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Charged Lovelock black holes in the presence of dark fluid with a nonlinear equation of state

arXiv

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arXiv 2019年

作者： Li, Xiang-Qian Chen, Bo Xing, Li-Li College of Physics and Optoelectronic Engineering Taiyuan University of Technology Taiyuan030024 China Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province Taiyuan University of Technology Taiyuan030024 China

We consider a model that charged static spherically-symmetric black hole is surrounded by dark fluid with nonlinear equation of state pd = -B/ρd. We find that the energy density of the dark fluid can be characterized by two parameters. The derivation of metric solution, as well as the calculation of black hole thermodynamical quantities as functions of horizon radius, are performed. Specially, in D-dimensional Einstein gravity and Gauss-Bonnet gravity cases, we plot the metric functions and corresponding thermodynamical quantities, such as mass, Hawking temperature and heat capacity, by varying the values of spacetime dimensions and dark fluid parameters. The effects of the dark fluid parameters on black hole solutions as well as on thermodynamical stability of black holes are discussed. Copyright © 2019, The Authors. All rights reserved.

关键词： Gravitation

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Super-resolution longitudinally polarized light needle achieved by tightly focusing radially polarized beams

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Optoelectronics Letters 2018年第1期14卷 1-5页

作者：史长坤聂仲泉田彦婷刘超赵永创贾宝华 Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province College of Physics and Optoelectronics Taiyuan University of Technology Centre for Micro-Photonics Faculty of Science Engineering and Technology Swinburne University of Technology

Based on the vector diffraction theory, a super-resolution longitudinally polarized optical needle with ultra-long depth of focus(DOF) is generated by tightly focusing a radially polarized beam that is modulated by a self-designed ternary hybrid(phase/amplitude) filter(THF). Both the phase and the amplitude patterns of THF are judiciously optimized by the versatile particle swarm optimization(PSO) searching algorithm. For the focusing configuration with a combination of a high numerical aperture(NA) and the optimized sine-shaped THFs, an optical needle with the full width at half maximum(FWHM) of 0.414λ and the DOF of 7.58λ is accessed, which corresponds to an aspect ratio of 18.3. The demonstrated longitudinally polarized super-resolution light needle with high aspect ratio opens up broad applications in high-density optical data storage, nano-photolithography, super-resolution imaging and high-efficiency particle trapping.

关键词： Super-resolution longitudinally polarized light needle achieved by tightly focusing radially polarized beams THF PSO

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