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Flexible and biocompatible high-performance solid-state micro-battery for implantable orthodontic system

npj Flexible Electronics 2017年第1期1卷 70-77页

作者： Arwa T.Kutbee Rabab R.Bahabry Kholod O.Alamoudi Mohamed T.Ghoneim Marlon D.Cordero Amani S.Almuslem Abdurrahman Gumus Elhadj M.Diallo Joanna M.Nassar Aftab M.Hussain Niveen M.Khashab Muhammad M.Hussain Integrated Nanotechnology lab and Integrated Disruptive Electronic Applications(idea)lab Material Science and EngineeringPhysical Science and Engineering DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Saudi Arabia Khashab Research Group Chemical SciencePhysical Science and Engineering DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Saudi Arabia Integrated Nanotechnology lab and Integrated Disruptive Electronic Applications(idea)lab Electrical EngineeringComputer Electrical and Mathematical Sciences and Engineering DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Saudi Arabia Integrated Nanotechnology lab and Integrated Disruptive Electronic Applications(idea)lab Mechanical EngineeringPhysical Science and Engineering DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Saudi Arabia KAUST Nanofabrication Core lab King Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Saudi Arabia

To augment the quality of our life,fully compliant personalized advanced health-care electronic system is *** of the major requirements to implement such systems is a physically flexible high-performance biocompatible energy storage(battery).However,the status-quo options do not match all of these attributes simultaneously and we also lack in an effective integration strategy to integrate them in complex architecture such as orthodontic domain in human *** we show,a physically complaint lithium-ion micro-battery(236μg)with an unprecedented volumetric energy(the ratio of energy to device geometrical size)of 200 mWh/cm^(3) after 120 cycles of continuous *** results of 90%viability test confirmed the battery’s *** also show seamless integration of the developed battery in an optoelectronic system embedded in a threedimensional printed smart dental *** foresee the resultant orthodontic system as a personalized advanced health-care application,which could serve in faster bone regeneration and enhanced enamel health-care protection and subsequently reducing the overall health-care cost.

关键词： battery system performance

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Study of brain morphology change in Alzheimer’s disease and amnestic mild cognitive impairment compared with normal controls

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General Psychiatry 2019年第2期32卷 75-83页

作者： Huanqing Yang Hua Xu Qingfeng Li Yan Jin Weixiong Jiang Jinghua Wang Yina Wu Wei Li Cece Yang Xia Li Shifu Xiao Feng Shi Tao Wang Department of Geriatric Psychiatry Shanghai Mental Health Center Shanghai China Alzheimer's Disease and Related Disorders Center Shanghai Jiao Tong University Shanghai China Shanghai United Imaging Intelligence Co. Ltd Shanghai China idea lab Department of Radiology and BRIC University of North Carolina at Chapel Hill Chapel Hill NC United States Informational Science and Engineering Department Hunan First Normal University Changsha China

Background With an aggravated social ageing level, the number of patients with Alzheimer's disease (AD) is gradually increasing, and mild cognitive impairment (MCI) is considered to be an early form of Alzheimer's disease. How to distinguish diseases in the early stage for the purposes of early diagnosis and treatment is an important topic. Aims The purpose of our study was to investigate the differences in brain cortical thickness and surface area among elderly patients with AD, elderly patients with amnestic MCI (aMCI) and normal controls (NC). Methods 20 AD patients, 21 aMCIs and 25 NC were recruited in the study. FreeSurfer software was used to calculate cortical thickness and surface area among groups. Results The patients with AD had less cortical thickness both in the left and right hemisphere in 17 of the 36 brain regions examined than the patients with aMCI or NC. The patients with AD also had smaller cerebral surface area both in the left and right hemisphere in 3 of the 36 brain regions examined than the patients with aMCI or NC. Compared with the NC, the patients with aMCI only had slight atrophy in the inferior parietal lobe of the left hemisphere, and no significant difference was found. Conclusion AD, as well as aMCI (to a lesser extent), is associated with reduced cortical thickness and surface area in a few brain regions associated with cognitive impairment. These results suggest that cortical thickness and surface area could be used for early detection of AD.

关键词： brain morphology change amnestic mild cognitive impairment compared aMCI NC

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Pores-Preserving Face Cleaning Based on Improved Empirical Mode Decomposition

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Journal of Computer Science & Technology 2009年第3期24卷 557-567页

作者：刘艳丽徐晓刚郭延文王进段鑫陈曦彭群生 State Key lab of CAD & CG Zhejiang University Department of Mathematics Zhejiang University State Key lab of Novel Software Technology Nanjing University

In this paper, we propose a novel method of cleaning up facial imperfections such as bumps and blemishes that may detract from a pleasing digital portrait. Contrasting with traditional methods which tend to blur facial details, our method fully retains fine scale skin textures （pores etc.） of the subject. Our key idea is to find a quantity, namely normalized local energy, to capture different characteristics of fine scale details and distractions, based on empirical mode decomposition, and then build a quantitative measurement of facial skin appearance which characterizes both imperfections and facial details in a unified framework. Finally, we use the quantitative measurement as a guide to enhance facial skin. We also introduce a few high-level, intuitive parameters for controlling the amount of enhancement. In addition, an adaptive local mean and neighborhood limited empirical mode decomposition algorithm is also developed to improve in two respects the performance of empirical mode decomposition. It can effectively avoid the gray spots effect commonly associated with traditional empirical mode decomposition when dealing with high-nonstationary images.

关键词： image enhancement empirical mode decomposition normalized local energy

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A New Speed Limit Recognition Methodology Based on Ensemble Learning:Hardware Validation

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Computers, Materials & Continua 2024年第7期80卷 119-138页

作者： Mohamed Karray Nesrine Triki Mohamed Ksantini ESME ESME Research LabIvry Sur Seine94200France CEM Lab ENISUniversity of SfaxSfax3038Tunisia

Advanced DriverAssistance Systems(ADAS)technologies can assist drivers or be part of automatic driving systems to support the driving process and improve the level of safety and comfort on the *** Sign Recognition System(TSRS)is one of themost important components *** the challengeswith TSRS is being able to recognize road signs with the highest accuracy and the shortest processing ***,this paper introduces a new real time methodology recognizing Speed Limit Signs based on a trio of developed ***,the Speed Limit Detection(SLD)module uses the Haar Cascade technique to generate a new SL detector in order to localize SL signs within captured ***,the Speed Limit Classification(SLC)module,featuring machine learning classifiers alongside a newly developed model called DeepSL,harnesses the power of a CNN architecture to extract intricate features from speed limit sign images,ensuring efficient and precise *** addition,a new Speed Limit Classifiers Fusion(SLCF)module has been developed by combining trained ML classifiers and the DeepSL model by using the Dempster-Shafer theory of belief functions and ensemble learning’s voting *** rigorous software and hardware validation processes,the proposedmethodology has achieved highly significant F1 scores of 99.98%and 99.96%for DS theory and the votingmethod,***,a prototype encompassing all components demonstrates outstanding reliability and efficacy,with processing times of 150 ms for the Raspberry Pi board and 81.5 ms for the Nano Jetson board,marking a significant advancement in TSRS technology.

关键词： Driving automation advanced driver assistance systems(ADAS) traffic sign recognition(TSR) artificial intelligence ensemble learning belief functions voting method

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Low Complexity Joint Hybrid Precoding for Millimeter Wave MIMO Systems

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China Communications 2019年第2期16卷 49-58页

作者： Mingyang Cui Weixia Zou Key lab of Universal Wireless Communications MOEBeijing University of Posts and Telecommunications State Key lab.of Millimeter Waves Southeast University

In millimeter wave(mmWave) multiple-input multiple-output(MIMO) systems, hybrid precoding has been widely used to overcome the severe propagation loss. In order to improve the spectrum efficiency with low complexity, we propose a joint hybrid precoding algorithm for single-user mmWave MIMO systems in this paper. By using the concept of equivalent channel, the proposed algorithm skillfully utilizes the idea of alternating optimization to complete the design of RF precoder and combiner. Then, the baseband precoder and combiner are computed by calculating the singular value decomposition of the equivalent channel. Simulation results demonstrate that the proposed algorithm can achieve satisfactory performance with quite low complexity. Moreover, we investigate the effects of quantization on the analog components and find that the proposed scheme is effective even with coarse quantization.

关键词： millimeter wave MIMO 5G joint hybrid precoding low complexity

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Linear feature detection based on ridgelet

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Science China(Technological Sciences) 2003年第2期46卷 141-152页

作者：侯彪刘芳焦李成 Key lab for Radar Signal Processing Xidian University

Linear feature detection is very important in image processing. The detection efficiency will directly affect the performance of pattern recognition and pattern classification. Based on the idea of ridgelet, this paper presents a new discrete localized ridgelet transform and a new method for detecting linear feature in anisotropic images. Experimental results prove the efficiency of the proposed method.

关键词： linear feature detection, ridgelet transform, wavelet transform, Radon transform.

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FunctionFlow:coordinating parallel tasks

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Frontiers of Computer Science 2019年第1期13卷 73-85页

作者： Xuepeng FAN Xiaofei LIAO Hai JIN Services Computing Technology and System lab (SCTS)&Cluster and Grid Computing lab (CGCL) School of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhan 430074China

With the growing allel programming,nowadays popularity of task-based partask-parallel programming libraries and languages are still with limited support for coordinating parallel *** limitation forces programmers to use additional independent components to coordinate the parallel tasks -the components can be third-party libraries or additional components in the same programming library or ***,mixing tasks and coordination components increase the difficulty of task-based programming,and blind schedulers for understanding tasks'dependencies. In this paper,we propose a task-based parallel programming library,Function Flow,which coordinates tasks in the purpose of avoiding additional independent coordination ***,we use dependency expression to represent ubiquitous tasks'*** key idea behind dependency expression is to use && for both task's termination and Ⅱ for any task termination,along with the combination of dependency ***,as runtime support,we use a lightweight representation for dependency expression. Also,we use suspended-task queue to schedule tasks that still have prerequisites to run. Finally,we demonstrate Function Flow's effectiveness in two aspects,case study about implementing popular parallel patterns with FunctionFIow,and performance comparision with state-of-the-art practice,*** demonstration shows that FunctionFIow can generally coordinate parallel tasks without involving additional components,along with comparable performance with TBB.

关键词： task parallel programming tasks dependency FunctionFlow coordination patterns

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3D hypothesis clustering for cross-view matching in multiperson motion capture

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Computational Visual Media 2020年第2期6卷 147-156页

作者： Miaopeng Li Zimeng Zhou Xinguo Liu State Key lab of CAD&CG Zhejiang UniversityHangzhou310058China

We present a multiview method for markerless motion capture of multiple people. The main challenge in this problem is to determine crossview correspondences for the 2 D joints in the presence of noise. We propose a 3 D hypothesis clustering technique to solve this problem. The core idea is to transform joint matching in 2 D space into a clustering problem in a 3 D hypothesis space. In this way, evidence from photometric appearance, multiview geometry, and bone length can be integrated to solve the clustering problem efficiently and robustly. Each cluster encodes a set of matched 2 D joints for the same person across different views, from which the 3 D joints can be effectively inferred. We then assemble the inferred 3 D joints to form full-body skeletons for all persons in a bottom–up way. Our experiments demonstrate the robustness of our approach even in challenging cases with heavy occlusion,closely interacting people, and few cameras. We have evaluated our method on many datasets, and our results show that it has significantly lower estimation errors than many state-of-the-art methods.

关键词： multi-person motion capture cross-view matching clustering human pose estimation

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Robust Blind Adaptive Channel Equalization in Chaotic Communication Systems

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Chinese Physics Letters 2006年第12期23卷 3187-3189页

作者：张家树 Key lab of Signal and Information Processing Southwest Jiaotong University Chengdu 610031

Based on the bounded property and statistics of chaotic signal and the idea of set-membership identification, we propose a set-membership generalized least mean square （SM-GLMS） algorithm with variable step size for blind adaptive channel equalization in chaotic communication systems. The steady state performance of the proposed SM-GLMS algorithm is analysed, and comparison with an extended Kalman filter （EKF）-based adaptive algorithm and variable gain least mean square （VG-LMS） algorithm is performed for blind adaptive channel equalization. Simulations show that the proposed SM-GLMS algorithm can provide more significant steady state performance improvement than the EKF-based adaptive algorithm and VG-LMS algorithm.

关键词： PARAMETER-ESTIMATION IDENTIFICATION ALGORITHMS FILTER NOISE

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Subspace identification for continuous-time errors-in-variables model from sampled data

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2009年第8期10卷 1177-1186页

作者： Ping WU Chun-jie YANG Zhi-huan SONG State Key lab of Industrial Control Technology Zhejiang University Hangzhou 310027 China

We study the subspace identification for the continuous-time errors-in-variables model from sampled ***,the filtering approach is applied to handle the time-derivative problem inherent in continuous-time *** generalized Poisson moment functional is focused.A total least squares equation based on this filtering approach is *** by the idea of discrete-time subspace identification based on principal component analysis,we develop two algorithms to deliver consistent estimates for the continuous-time errors-in-variables model by introducing two different instrumental *** determination and other instrumental variables are *** usefulness of the proposed algorithms is illustrated through numerical simulation.

关键词： System identification Errors-in-variables Continuous-time system Subspace method

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