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International Conference on Smart Health, ICSH 2017

作者： Xie, Xiaodong Liu, Rui Zhou, Dongsheng Wei, Xiaopeng Zhang, Qiang Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian116622 China

ISBN: (纸本)9783319679631

The segmentation of motion capture data is to separate the different types of human motion data contains long movement sequence into motion clips with independent semantics in order to facilitate the storage in the database as well as medical analysis. This paper proposed a method for human motion capture data segmentation based on Laplacian Eigenmaps (LE) algorithm. Firstly, the LE algorithm is used to reduce the dimension of original data by realizing the mapping from the high dimensional data to the low dimensional space. And then a specified window was drawn in the low dimensional space which was used to calculate the space distance from frames in the specified window to each frame in the former fragment. Finally we detected the similarity to get the final segmentation points, thus obtained motion clips with independent semantics. The validity of the segmentation method is verified by experiment. © 2017, Springer International Publishing AG.

关键词： Semantics

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The decoder based on DNA strand displacement with improved "AND" gate and "OR" gate 1

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12th International Conference on Bio-Inspired computing: Theories and Applications, BIC-TA 2017

作者： Han, Weixuan Zhou, Changjun Wang, Xiaojun Zhang, Qiang Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian116622 China

ISBN: (数字)9789811071799

ISBN: (纸本)9789811071782

In the computational biology, DNA strand displacement technique is used to construct the logic gate model and molecular circuits. But with the increase of number of the reaction strands, the basic logic gates cannot meet the accuracy in the reaction process. This paper improved the logical unit OR gate, AND gate to solve this problem on the basic of the seesaw model and the mechanism of DNA strand displacement reaction. Since the basic circuit of the decoder is an array of AND gates, the improvement module is applied to the decoder. The molecular circuit of decoder is constructed to realize the dynamic link between the input signal and the output signal. It is concluded that the sensitivity and accuracy of the improved decoder in the molecular circuit is improved by the Visual DSD software. The improvement module laid the foundation for the development of molecular circuits. © Springer Nature Singapore Pte Ltd 2017.

关键词： Logic gates

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Allosteric DNAzyme-based DNA logic circuit: operations and dynamic analysis

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Nucleic acids research 2019年第3期47卷 1097-1109页

作者： Xuedong Zheng Jing Yang Changjun Zhou Cheng Zhang Qiang Zhang Xiaopeng Wei College of Computer Science Shenyang Aerospace University Shenyang 110136 China. School of Control and Computer Engineering North China Electric Power University Beijing 102206 China. College of Mathematics and Computer sciences Zhejiang Normal University Jinhua 321004 China. School of Electronics Engineering and Computer Science Peking University Key laboratory of High Confidence Software Technologies Ministry of Education Beijing 100871 China. Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian 116622 China. School of Computer Scicence and Technology Dalian University of Technology Dalian 116024 China.

Recently, due to the dual roles of DNA and enzyme, DNAzyme has been widely used in the field of DNA circuit, which has a wide range of applications in bio-engineered system, information processing and biocomputing. In fact, the activity of DNAzymes was regulated by subunits assembly, pH control and metal ions triggers. However, those regulations required to change the sequences of whole DNAzyme, as separating parts and inserting extra DNA sequence. Inspired by the allosteric regulation of proteins in nature, a new allosteric strategy is proposed to regulate the activity of DNAzyme without DNA sequences changes. In this strategy, DNA strand displacement was used to regulate the DNAzyme structure, through which the activity of DNAzyme was well controlled. The strategy was applied to E6-type DNAzymes, and the operations of DNA logic circuit (YES, OR, AND, cascading and feedback) were established and simulated with the dynamic analyses. The allosteric regulation has potential to construct more complicated molecular systems, which can be applied to bio-sensing and detection.

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A Low SAR, Small size, High gain, Circularly polarized Antenna for Wearable Application

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Journal of Physics: Conference Series 2020年第1期1651卷

作者： Chao Wang Liang Zhang Yi Cheng XueMei Li Xianliang Wu Key Lab of Ministry of Education of Intelligent Computing & Signal Processing Anhui University Hefei Anhui 230601 China AnHui Province Key Laboratory of simulation and design for Electronic information system Hefei Normal university Hefei Anhui 230601 China

A planar, small size, high gain, low specific absorption rate (SAR) and circularly-polarized (CP) wearable antenna is proposed in this paper. The antenna is fabricated on a substrate with a dielectric constant of 3.5 with a thickness of 0.5 mm and sized at 42×42 mm only. Both the simulation results show that the overlap bandwidth of impedance and axial ratio of the proposed antenna is 13.7% (5.15-5.91 GHz). To isolate the antenna against the influence of the human body, a artificial magnetic conductor (AMC) plane is added on the reverse side of the radiator. The AMC structure effectively isolates the human body from the radiation of the antenna and reduces the specific absorption rate (SAR) of it by more than 96.1% at 5.5 GHz, which improves the antenna gain and the peak gain reaches 5.09 dBi at 5.5 GHz. The wearable performance of the antenna was analyzed, and it is observed that it can sustain good performance even under human body loading. Beside, the antenna has a small size, which makes it ideal for wearable applications.

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Core-shell [email protected] 2 O-graphene-polydopamine interdigitated microelectrode array sensor for in situ determination of salicylic acid in cucumber leaves

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Sensors and Actuators B: Chemical 2021年 341卷

作者： Dandan Liu Mingji Li Hongji Li Cuiping Li Guilian Wang Penghai Li Baohe Yang Tianjin Key Laboratory of Film Electronic and Communication Devices Engineering Research Center of Optoelectronic Devices & Communication Technology (Ministry of Education) School of Electrical and Electronic Engineering Tianjin University of Technology Tianjin 300384 PR China Tianjin Key Laboratory of Organic Solar Cells and Photochemical Conversion Tianjin Key Laboratory of Drug Targeting and Bioimaging School of Chemistry and Chemical Engineering Tianjin University of Technology Tianjin 300384 PR China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin University of Technology Tianjin 300384 PR China

The in situ detection of active small molecules in plants is one of the key technologies for the development of precision agriculture. An interdigitated microelectrode (IDME) array electrochemical sensor is constructed herein, with three groups of IDME arrays as a three-electrode system. The core-shell [email protected] 2 O-graphene (Gr)-polydopamine (PDA) nanoparticles are densely packed on Al microelectrodes using a three-potential step pulse electrodeposition method. Each of the over 2000 individual microelectrodes is approximately 1 μm wide and 1100 μm in length. The sensor has a high response to salicylic acid (SA) due to the synergistic electrocatalysis of [email protected] 2 O, Gr, and PDA, and the high-density arrangement of the three-electrode unit with microelectrodes. The sensor has a linear concentration range of 0.01–100 μM for SA and the detection limit is as low as 1.16 nM. The SA concentration in cucumber leaves is monitored from the early growth stage to the fruiting stage using the IDME array sensor, and the juice and living stems of the cucumber are detected. The flat structure of the [email protected] 2 O-Gr-PDA IDME array sensor is suitable for attachment onto plant tissues, especially for the in situ detection of SA in leaves.

关键词： Core-shell [email protected] 2 O-graphene-polydopamine Interdigitated microelectrode array Sensor Salicylic acid Plant

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Classification of ECG signals based on 1D convolution neural network 19

Classification of ECG signals based on 1D convolution neural...

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19th IEEE International Conference on e-Health Networking, Applications and Services, Healthcom 2017

作者： Li, Dan Zhang, Jianxin Zhang, Qiang Wei, Xiaopeng Key Lab of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian China

ISBN: (纸本)9781509067046

Recently, with the obvious increasing number of cardiovascular disease, the automatic classification research of Electrocardiogram signals (ECG) has been playing a significantly important part in the clinical diagnosis of cardiovascular disease. In this paper, a 1D convolution neural network (CNN) based method is proposed to classify ECG signals. The proposed CNN model consists of five layers in addition to the input layer and the output layer, i.e., two convolution layers, two down sampling layers and one full connection layer, extracting the effective features from the original data and classifying the features automatically. This model realizes the classification of 5 typical kinds of arrhythmia signals, i.e., normal, left bundle branch block, right bundle branch block, atrial premature contraction and ventricular premature contraction. The experimental results on the public MIT-BIH arrhythmia database show that the proposed method achieves a promising classification accuracy of 97.5%, significantly outperforming several typical ECG classification methods. © 2017 IEEE.

关键词： Neural network models

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Desired clustering of genetic regulatory networks with mixed delays

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Advances in Difference Equations 2018年第1期2018卷 1-14页

作者： Zou, Chengye Wei, Xiaopeng Zhang, Qiang Zhou, Changjun Wang, Xingyuan Faculty of Electronic Information and Electrical Engineering Dalian University of Technology Dalian China Key Laboratory of Advanced and Intelligent Computing Ministry of Education Dalian University Dalian China

In this study, we propose two techniques for clustering genetic regulatory networks with mixed delays. Laws for identifying coupling parameters are designed, and the Lyapunov theorem and Lipschitz condition are employed to achieve the desired stability and to identify the coupling parameters. Using our proposed methods, the value of a cluster or the sum of clusters can approach the expected values. Numerical examples verify the feasibility and effectiveness of this method.

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Nine Million Books and Eleven Million Citations: A Study of Book-Based Scholarly Communication Using OpenCitations

arXiv

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arXiv 2019年

作者： Zhu, Yongjun Yan, Erjia Peroni, Silvio Che, Chao Department of Library and Information Science Sungkyunkwan University 25-2 Sungkyunkwan-ro Jongno-gu Seoul Korea Republic of College of Computing and Informatics Drexel University 3141 Chestnut Street PhiladelphiaPA19104 United States Department of Classical Philology and Italian Studies University of Bologna Via Zamboni 32 Bologna40126 Italy Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian China

Books have been widely used to share information and contribute to human knowledge. However, the quantitative use of books as a method of scholarly communication is relatively unexamined compared to journal articles and conference papers. This study uses the COCI dataset (a comprehensive open citation dataset provided by OpenCitations) to explore books’ roles in scholarly communication. The COCI data we analyzed includes 445,826,118 citations from 46,534,705 bibliographic entities. By analyzing such a large amount of data, we provide a thorough, multifaceted understanding of books. Among the investigated factors are 1) temporal changes to book citations;2) book citation distributions;3) years to citation peak;4) citation half-life;and 5) characteristics of the most-cited books. Results show that books have received less than 4% of total citations, and have been cited mainly by journal articles. Moreover, 97.96% of books have been cited fewer than 10 times. Books take longer than other bibliographic materials to reach peak citation levels, yet are cited for the same duration as journal articles. Most-cited books tend to cover general (yet essential) topics, theories, and technological concepts in mathematics and statistics. Copyright © 2019, The Authors. All rights reserved.

关键词： Bibliographies

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Inequality-Type Zhang Equivalency Originating from Neural Dynamics for Time-Varying Problems Solving

Inequality-Type Zhang Equivalency Originating from Neural Dy...

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IEEE International Conference on Mechatronics and Automation

作者： Yunong Zhang Liangjie Ming Min Yang Binbin Qiu Zhonghua Li School of Data and Computer Science Sun Yat-sen University Guangzhou P. R. China Research Institute of Sun Yat-sen University in Shenzhen Shenzhen P. R. China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Guangzhou P. R. China School of Electronics and Information Technology Sun Yat-sen University Guangzhou P. R. China School of Intelligent Systems Engineering Sun Yat-sen University Guangzhou P. R. China

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

In this paper, a concept of Zhang equivalency (ZE) is presented, and its type of inequality to inequality (simply termed, inequality type) is further discussed. By applying Zhang neural dynamics method, we thus propose the order-1, order2, and order-3 ZE general formulas of such an inequality type, respectively. Then, the inequalities in four different situations are investigated, i.e., the robot situation, matrix situation (including matrix-vector situation), state-control situation, and state situation. We propose the corresponding order-1, order-2, and order-3 ZE formulas to prepare for solving corresponding time-varying inequality-related problems.

关键词： Mechatronics Automation Conferences Linear matrix inequalities Problem-solving Robots

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Correction to: A method of VR‑EEG scene cognitive rehabilitation training

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Health information science and systems 2021年第1期9卷 7页

作者： Wenjun Tan Yang Xu Pan Liu Chunyan Liu Yujin Li Yanrui Du Chao Chen Yuping Wang Yanchun Zhang Key Laboratory of Intelligent Computing in Medical Image Ministry of Education Northeastern University Shenyang 110189 China. Cyberspace Institute of Advanced Technology Guangzhou University Guangzhou 510006 China. Department of Neurology Xuanwu Hospital Capital Medical University Beijing 100053 China. Key Laboratory of Complex System Control Theory and Application Tianjin University of Technology Tianjin 300384 China. Institute for Sustainable Industries and Liveable Cities Victoria University Melbourne VIC 8001 Australia.

[This corrects the article DOI: 10.1007/s13755-020-00132-6.].

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