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arXiv 2017年

作者： Abbas, Tasawar Khan, Shujaat Sajid, Muhammad Wahab, Abdul Ye, Jong Chul Department of Mathematics and Statistics Faculty of Basic and Applied Sciences International Islamic University Islamabad 44000 Pakistan Bio Imaging and Signal Processing Laboratory Department of Bio and Brain Engineering Korea Advanced Institute of Science and Technology 291 Daehak-ro Yuseong-gu Daejeon34141 Korea Republic of Department of Mathematical Sciences Korea Advanced Institute of Science and Technology 291 Daehak-ro Yuseong-gu Daejeon34141 Korea Republic of

The aim of this article is to present and rigorously analyze topological sensitivity based algorithms for detection of diametrically small inclusions in an isotropic homogeneous elastic formation using single and multiple measurements of the far-field scattering amplitudes. A L2−cost functional is considered and a location indicator is constructed from its topological derivative. The performance of the indicator is analyzed in terms of the topological sensitivity for location detection and stability with respect to measurement and medium noises. It is established that the location indicator does not guarantee inclusion detection and achieves only a low resolution when there is mode-conversion in an elastic formation. Accordingly, a weighted location indicator is designed to tackle the mode-conversion phenomenon. It is substantiated that the weighted function renders the location of an inclusion stably with resolution as per Rayleigh criterion.35R30, 34L25, 35L05, 49Q12, 45Q05, 74B05, 74J20, 74J25 Copyright © 2017, The Authors. All rights reserved.

关键词： Location

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A hierarchical image matting model for blood vessel segmentation in fundus images

arXiv

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arXiv 2017年

作者： Fan, Zhun Lu, Jiewei Li, Wenji Wei, Caimin Huang, Han Cai, Xinye Chen, Xinjian Guangdong Provincial Key Laboratory of Digital Signal and Image Processing College of Engineering Shantou University Shan'tou515063 China Department of Mathematics Shantou University Shan'tou515063 China School of Software Engineering South China University of Technology Guang'zhou510006 China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Jiang'su210016 China Medical Image Processing and Analysis Lab School of Electronics and Information Engineering Soochow University Su'zhou215006 China

In this paper, a hierarchical image matting model is proposed to extract blood vessels from fundus images. More specifically, a hierarchical strategy utilizing the continuity and extendibility of retinal blood vessels is integrated into the image matting model for blood vessel segmentation. Normally the matting models require the user specified trimap, which separates the input image into three regions manually: the foreground, background and unknown regions. However, since creating a user specified trimap is a tedious and time-consuming task, region features of blood vessels are used to generate the trimap automatically in this paper. The proposed model has low computational complexity and outperforms many other state-of-art supervised and unsupervised methods in terms of accuracy, which achieves a vessel segmentation accuracy of 96.0%, 95.7% and 95.1% in an average time of 10.72s, 15.74s and 50.71s on images from three publicly available fundus image datasets DRIVE, STARE, and CHASE_DB1, respectively. Copyright © 2017, The Authors. All rights reserved.

关键词： Blood vessels

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Optical Imaging technology: A Useful Tool to Identify Remission in Cushing Disease After Surgery (vol 51, pg 120, 2019)

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HORMONE AND METABOLIC RESEARCH 2019年第2期51卷 E1-E1页

作者： Afshari, Ali Keil, Margaret Lyssikatos, Charalampos Section on Analytical and Functional Biophotonics Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) National Institutes of Health (NIH) Bethesda Maryland USA Section on Endocrinology and Genetics Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) National Institutes of Health (NIH) Bethesda Maryland USA Section on Endocrinology and Genetics Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) National Institutes of Health (NIH) Bethesda Maryland USA Section on Endocrinology and Genetics Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) National Institutes of Health (NIH) Bethesda Maryland USA Service of Endocrinology and Nutrition Hospital Universitario Central de Asturias Instituto Universitario de Oncología del Principado de Asturias Universidad de Oviedo Oviedo Spain Section on Analytical and Functional Biophotonics Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) National Institutes of Health (NIH) Bethesda Maryland USA Section on Analytical and Functional Biophotonics Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) National Institutes of Health (NIH) Bethesda Maryland USA Section on Analytical and Functional Biophotonics Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) National Institutes of Health (NIH) Bethesda Maryland USA Section on Signal Processing & Instrumentation Computational Biosciences and Engineering Laboratory Office of Intramural Research (OIR) Center for Information Technology (CIT) National Institutes of Health (NIH) Bethesda Maryland USA Section on Analytical and Functional Biophotonics Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) National Institutes of Health (NIH) Bethesda Maryland USA Assistant Professor of Biomedical Engineering Colle

We recently reported the use of optical imaging technology to quantify facial plethora in endogenous Cushing syndrome (CS). In the present study, we studied a larger cohort of patients with Cushing disease (CD) and examined water content fraction as well as blood volume fraction as bio-optic markers for determining the efficacy of this methodology as a predictor of lasting remission after surgery for CS. We imaged 49 patients before and after transsphenoidal surgery (TSS) for Cushing disease (CD); 22 patients were also seen at 3-6 months, and 13 patients 12 months post-operatively. On all patients, we used multi-spectral imaging (MSI) to evaluate hemodynamic distributions as well as water content at a specific area of the face. We found a decrease in blood volume fraction after vs. before surgical treatment in the tested facial area in 37 of the 40 patients, as determined with biochemical markers (p<0.001). All patients that were followed up for up to 12 months showed the same decrease from preoperative values and they remained in remission from CD. We conclude that MSI can be used for the evaluation of remission from CD, at least in the immediate post-operative period and up to one year after surgery. The use of this technology can supplement biochemical and other testing for the evaluation of the various treatment modalities available for patients with CD.

关键词： cushing disease optical imaging technology bio-optic marker facial plethora serum cortisol water content volume

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Coherent oscillations of driven rf SQUID metamaterials

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Physical Review E 2017年第5期95卷 050201(R)-050201(R)页

作者： Melissa Trepanier Daimeng Zhang Oleg Mukhanov V. P. Koshelets Philipp Jung Susanne Butz Edward Ott Thomas M. Antonsen Alexey V. Ustinov Steven M. Anlage Department of Physics CNAM University of Maryland College Park Maryland 20742 USA Department of Electrical and Computer Engineering University of Maryland College Park Maryland 20742 USA Hypres Inc. 175 Clearbrook Road Elmsford New York 10523 USA Laboratory of Superconducting Devices for Signal Detection and Processing Kotelnikov Institute of Radio Engineering and Electronics Moscow 125009 Russia Physikalisches Institut Karlsruhe Institute of Technology D-76049 Karlsruhe Germany Russian Quantum Center National University of Science and Technology MISIS Moscow 119049 Russia

Through experiments and numerical simulations we explore the behavior of rf SQUID (radio frequency superconducting quantum interference device) metamaterials, which show extreme tunability and nonlinearity. The emergent electromagnetic properties of this metamaterial are sensitive to the degree of coherent response of the driven interacting SQUIDs. Coherence suffers in the presence of disorder, which is experimentally found to be mainly due to a dc flux gradient. We demonstrate methods to recover the coherence, specifically by varying the coupling between the SQUID meta-atoms and increasing the temperature or the amplitude of the applied rf flux.

关键词： Collective dynamics Coupled oscillators Josephson effect Magnetic susceptibility Optical & microwave phenomena Synchronization Metamaterials

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Quantitative graph theory: A new branch of graph theory and network science

arXiv

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arXiv 2017年

作者： Dehmer, Matthias Emmert-Streib, Frank Shi, Yongtang Department of Computer Science Universität der Bundeswehr München Germany Department of Mechatronics and Biomedical Computer Science UMIT Hall in Tyrol Austria Computational Medicine and Statistical Learning Laboratory Department of Signal Processing Tampere University of Technology Finland Institute of Biosciences and Medical Technology Tampere33520 Finland Center for Combinatorics and LPMC-TJKLC Nankai University Tianjin300071 China College of Computer and Control Engineering Nankai University Tianjin300071 China

In this paper, we describe quantitative graph theory and argue it is a new graph-theoretical branch in network science, however, with significant different features compared to classical graph theory. The main goal of quantitative graph theory is the structural quantification of information contained in complex networks by employing a measurement approach based on numerical invariants and comparisons. Furthermore, the methods as well as the networks do not need to be deterministic but can be statistic. As such this complements the field of classical graph theory, which is descriptive and deterministic in nature. We provide examples of how quantitative graph theory can be used for novel applications in the context of the overarching concept network science. Copyright © 2017, The Authors. All rights reserved.

关键词： Complex networks

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A novel space time adaptive processing method based on ℓ1-norm minimization

A novel space time adaptive processing method based on ℓ1-n...

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IEEE International Conference on radar

作者： Hu Xie Hong-Xing Dang Xiao-Min Tan DaZheng Feng China Academy of Space Technology Xi'an Branch Xi'an China Xidian University Xian Shaanxi CN National Laboratory of Radar Signal Processing Xidian University Xi'an China

The moving targets only exist in a few range cells for space-time adaptive processing (STAP), i.e. targets are sparsely distributed in the entire range cells and most of the range cells are target-free. By utilizing the sparsity of the target distribution, we proposed a novel STAP method based on minimizing the ℓ 1 -norm of the output magnitude. Unlike the conventional STAP which exclude the cell under test from the training samples to avoid target self-nulling, our method process the cell under test (CUT) and training samples simultaneously without samples selection. Unlike the slide window processor whose weights need to be updated for each range cell, the adaptive weight of our method for a block of samples requires no updating. Consequently, the computation complexity is much less than the conventional STAP. Simulation results demonstrate the superiority of the proposed STAP method over several state-of-the-art STAP methods.

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Tolerance Granulation Based Community Detection Algorithm

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Tsinghua science and technology 2015年第6期20卷 620-626页

作者： Shu Zhao Wang Ke Jie Chen Feng Liu Menghan Huang Yanping Zhang Jie Tang Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Center of Information Support & Assurance TechnologySchool of Computer Science and TechnologyAnhui University School of Computer Science and Technology Tsinghua University

Community structure is one of the most important features in real networks and reveals the internal organization of the vertices. Uncovering accurate community structure is effective for understanding and exploiting networks. Tolerance Granulation based Community Detection Algorithm(TGCDA) is proposed in this paper, which uses tolerance relation(namely tolerance granulation) to granulate a network hierarchically. Firstly, TGCDA relies on the tolerance relation among vertices to form an initial granule set. Then granules in this set which satisfied granulation coefficient are hierarchically merged by tolerance granulation operation. The process is finished till the granule set includes one granule. Finally, select a granule set with maximum granulation criterion to handle overlapping vertices among some granules. The overlapping vertices are merged into corresponding granules based on their degrees of affiliation to realize the community partition of complex networks. The final granules are regarded as communities so that the granulation for a network is actually the community partition of the *** on several datasets show our algorithm is effective and it can identify the community structure more accurately. On real world networks, TGCDA achieves Normalized Mutual Information(NMI) accuracy 17.55% higher than NFA averagely and on synthetic random networks, the NMI accuracy is also improved. For some networks which have a clear community structure, TGCDA is more effective and can detect more accurate community structure than other algorithms.

关键词： tolerance relation community tolerance granulation

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Modification to model reference adaptive control of 5-link exoskeleton with gravity compensation

Modification to model reference adaptive control of 5-link e...

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Chinese Control Conference (CCC)

作者： Saim Ahmed Haoping Wang Yang Tian Nanjing University of Science & Technology Sino-French International Joint Laboratory of Automatic Control and Signal Processing (LaFCAS) Nanjing China

This paper presents a modified methodology based on the model reference adaptive control (MRAC) for tracking and stability with gravity compensation for the 5-link single support phase lower limb exoskeleton with external disturbance. Different from conventional methods, the proposed method is based on MRAC with adaptive error gain in the presence of external disturbance. Asymptotical stability of the system is investigated by choosing an appropriate lyapunov function, that ensures the convergence of tracking error to zero. The effectiveness of proposed method has been verified with the help of simulation example.

关键词： Exoskeletons Adaptation models Mathematical model Stability analysis Lyapunov methods Gravity Asymptotic stability

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Sliding Mode Based Integrated Pitch-Yaw Acceleration Autopilot Design for Varying-Velocity Missile

Sliding Mode Based Integrated Pitch-Yaw Acceleration Autopil...

引用

IEEE International Conference on Control and Automation

作者： A. Awad H. Wang Sino-French International Joint Laboratory of Automatic Control and Signal Processing (LaFCAS) Automation School Nanjing University of Science & Technology

ISBN: (纸本)9781509017393

A design of integrated pitch-yaw acceleration autopilot based on sliding mode control (SMC) with a nonlinear observer (NLO) is proposed for skid to turn (STT) velocity-varying missile. Missile autopilot design faces a great challenge owing to nonlinear aerodynamics, missile parameters' variation, coupling effect between channels, and unavailability of measuring all states. Moreover, the autopilot should be designed for the entire flight envelope, including boosting, sustaining, and gliding phases where fast variation of velocity and parameters exists. Thus the robustness against the quick variation of velocity and parameters is exceedingly required. The suggested missile model considers the velocity variation, the gravity effect, the missile parameters' variation. The proposed autopilot controls the normal acceleration of pitch-yaw channels simultaneously using multiple sliding surfaces and reaching laws. NLO is proposed to estimate the immeasurable states and its inputs are the measurable missile angular rates and its accelerations, and control signals. The closed loop system stability including the NLO stability is discussed. Finally, Numerical simulation is established to evaluate performance of the proposed acceleration autopilot.

关键词： Missiles Acceleration Aerodynamics Stability analysis Nonlinear optics Robustness Numerical stability

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Gait planning and hybrid model based tracking control of lower extremity exoskeleton

Gait planning and hybrid model based tracking control of low...

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第35届中国控制会议

作者： Xikun WANG Haoping WANG Yang TIAN Nanjing University of Science & Technology School of Automation Sino-French International Joint Laboratory of Automatic Control and Signal Processing(LaFCAS)

ISBN: (纸本)9781509009107

This article combines the ideas of exoskeleton with hybrid system and proposes a hybrid model of *** the walking process of human-exoskeleton coupling system can be divided into four different contact phases,single support left,double support I,single support right and double support *** four different contact situations yield a hybrid model where continuous nonlinear ordinary differential equations(ODEs) describe the dynamics in the contact phases and the commutations between the discrete phases are marked by collision and detachment *** obtain the stable and smooth synthesized gait for human-exoskeleton coupling system,the zero-moment-point(ZMP) theory and three spline interpolation method have been used *** PID controller is used during each phases to test the model and *** whole design of hybrid model and control method have been simulated in MATLAB and the results are presented to illustrate the effectiveness of the proposed control strategy and the stability of planned gait.

关键词： human-exoskeleton coupling system hybrid system gait planning ZMP theory three spline interpolation

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