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2017 International Conference on Bioinformatics and Computational Intelligence, ICBCI 2017

作者： Li, Wen Li, Jianzhuo Huo, Lijuan Li, Wenjun Du, Xiuquan School of Computer Science and Technology Anhui University Hefei230601 China Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei230601 China

ISBN: (纸本)9781450353113

Identification of splice site plays a key role for alternative splicing analysis. Many effective methods have been proposed over the past decades. However, there have still some limitations and need further improvement. In this paper, we collect splice site sequences from Homo Sapiens Splice Sites Dataset (HS3D), to transform these sequences, we use two kinds of methods to code them and then use support vector machines (SVM) as predictor. In order to reduce computational time, maximum relevance minimum redundancy (mRMR) is adopted to rank the features for finding optimal feature combination. On the donor splice site sequence data, our method achieves 92.85% accuracy, area under ROC (Receiver Operating Characteristic) curve (ROC-AUC) of 97.62%. On the acceptor splice site data, our method achieves 92.29% accuracy and 97.37% ROC-AUC. These results show that our method is effective and reliable for splice sites prediction. © 2017 ACM.

关键词： Support vector machines

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A comparison of four global land cover maps on a provincial scale based on China’s 30 m GlobeLand30 4th

A comparison of four global land cover maps on a provincial ...

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4th International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2016

作者： Ye, Xiaohui Zhao, Jinling Huang, Linsheng Zhang, Dongyan Hong, Qi Anhui Engineering Laboratory of Agro-Ecological Big Data Anhui University Hefei230601 China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei230039 China

ISBN: (纸本)9789811039652

To monitor the entire earth system, several global land cover mapping products have been produced based on different remote sensing imagery (e.g., AVHRR, MODIS, SPOT, HJ-1), including UMD Land Cover, Global Land Cover 2000, GlobCover 2009 and GlobeLand30. However, the application potential of those products has not been fully explored at a provincial scale. The primary objective of this study is to compare and investigate the potential of these products in Anhui Province, China. The area and spatial consistency were used to evaluate the four datasets based on China’s GlobeLand 30 due to 30 m spatial resolution and the total accuracy of 83.51%. The Pearson’s correlation coefficient (R) and the percentage disagreement (PD) were used to evaluate the area consistency. The spatial similarity coefficient (O) was here adopted in order to verify the accuracy of spatial positions. A total of eight cover classes including cropland, woodland, grassland, shrubland, wetland, water bodies, artificial surfaces and bareland were reclassified and mapped to perform the intercomparison. The analysis results show that the PD of GlobCover 2009 is respectively 15.36% and −8.43% for "cropland" and "woodland", while they are −20.20% and 2.10% for UMD. The "woodland" has better agreement percentage in comparison with "cropland". The O of UMD is the worst of 69.25%, indicating that the spatial consistency is weak for "cropland". Conversely, the O of GlobCover 2009 reaches up to 83.50%. © Springer Nature Singapore Pte Ltd. 2017.

关键词： Remote sensing

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Filtered-OFDM System Performance Research Based on Nuttall’s Blackman-Harris Window

Filtered-OFDM System Performance Research Based on Nuttall’...

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2017 17th IEEE International Conference on Communication Technology (ICCT 2017)

作者： Lizhang Yang Yaohua Xu Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education China Anhui University Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education China Anhui University

Owing to OFDM Air Interface in the whole system bandwidth only support one fixed waveform parameter, the sidelobe of rectangular pulse frequency response is bigger and the attenuation is slower, which cause that the OFDM system has a sensitive to partial differential frequency rate, high frequency spectrum leakage and large out-of-band（OOB） interference. Therefore, the conventional OFDM can not adapt to 5 G in rich business scenarios. Thus, the Filtered-OFDM（FOFDM） is proposed as a candidate technique for 5 G high-data rate wireless communication system. In order to achieve better spectrum leakage performance compared with Hamming window in F-OFDM system, this paper proposes a kind filter that uses Nuttall’s Blackman-Harris window in the F-OFDM system, and analyzes the performance of different window functions in the F-OFDM. Simulation results show that the design of F-OFDM is easy to be implemented by Nuttall’s Blackman-Harris window, which has a very low OOB emission with the same bit error rate（BER） performance compared with the F-OFDM that is based on Hamming window and the conventional OFDM.

关键词： filtered-OFDM（F-OFDM） OOB BER Nuttall’s Blackman-Harris window 5G

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Influence updating and compactness enhanced approach for saliency detection 12

Influence updating and compactness enhanced approach for sal...

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12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017

作者： Zhang, Zhihua Liu, Zhengyi Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Anhui230000 China School of Computer Science and Technology Anhui University Hefei Anhui230000 China

ISBN: (纸本)9781538621035

Salient object detection aims to detect the attractive objects to human viewers in an image. In order to solve the low detection precision problem of existing algorithms, a new method based on influence updating and compactness feature is proposed. Firstly, it propagates the background information to the entire image by using influence updating algorithm and obtains the initial saliency map. Then, it introduces the compactness feature, a low-level cue of image, to obtain the compactness of regions by computing the difference of color space and location space respectively. Finally, initial saliency map is enhanced by the compactness feature and pixel-level saliency correction. Experiment results on MSRA-1000, CSSD and ECSSD databases demonstrate that the proposed method performs well against the state-of-the-art methods by fusing prior knowledges and visual cues in terms of accuracy. © 2017 IEEE.

关键词： Object detection

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Analysis of mutual inductance between non-coaxial rectangular coils with rectangular cross-section

Analysis of mutual inductance between non-coaxial rectangula...

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International Applied Computational Electromagnetics Society Symposium (ACES)

作者： Wenlong Pan Kaihong Song Key Laboratory of Intelligent Computing & Signal Processing Anhui University China

ISBN: (纸本)9781509043118

Magnetic coupling resonance wireless power transmission is a new technology to realize the wireless transmission of energy by means of high frequency coupling resonance between the coils. The variation of the coupling coil size and the relative position will change the mutual inductance between the windings, which will finally affect the characteristics of the infinite power transmission system. Using rectangular coil with rectangular cross-section as the analysis object, to research the calculation method of mutual inductance between non-coaxial rectangular coils, by subdividing and summation method to deduce the theory formula of the mutual inductance, to support wireless power transmission which consists of rectangular coils. In all cases, the formula programming calculation, the FEM software simulation and the experimental measurement results are consistent, which proves the correctness of the calculation method.

关键词： Inductance Coils Finite element analysis Software Couplings Wireless power transmission Programming

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Metrics Reloaded: Recommendations for image analysis validation

arXiv

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arXiv 2022年

作者： Maier-Hein, Lena Reinke, Annika Godau, Patrick Tizabi, Minu D. Buettner, Florian Christodoulou, Evangelia Glocker, Ben Isensee, Fabian Kleesiek, Jens Kozubek, Michal Reyes, Mauricio Riegler, Michael A. Wiesenfarth, Manuel Emre Kavur, A. Sudre, Carole H. Baumgartner, Michael Eisenmann, Matthias Heckmann-Nötzel, Doreen Rädsch, Tim Acion, Laura Antonelli, Michela Arbel, Tal Bakas, Spyridon Benis, Arriel Blaschko, Matthew B. Jorge Cardoso, M. Cheplygina, Veronika Cimini, Beth A. Collins, Gary S. Farahani, Keyvan Ferrer, Luciana Galdran, Adrian Ginneken, Bram Van Haase, Robert Hashimoto, Daniel A. Hoffman, Michael M. Huisman, Merel Jannin, Pierre Kahn, Charles E. Kainmueller, Dagmar Kainz, Bernhard Karargyris, Alexandros Karthikesalingam, Alan Kenngott, Hannes Kofler, Florian Kopp-Schneider, Annette Kreshuk, Anna Kurc, Tahsin Landman, Bennett A. Litjens, Geert Madani, Amin Maier-Hein, Klaus Martel, Anne L. Mattson, Peter Meijering, Erik Menze, Bjoern Moons, Karel G.M. Müller, Henning Nichyporuk, Brennan Nickel, Felix Petersen, Jens Rajpoot, Nasir Rieke, Nicola Saez-Rodriguez, Julio Sánchez, Clara I. Shetty, Shravya Smeden, Maarten Van Summers, Ronald M. Taha, Abdel A. Tiulpin, Aleksei Tsaftaris, Sotirios A. Calster, Ben Van Varoquaux, Gaël Jäger, Paul F. Heidelberg Division of Intelligent Medical Systems and HI Helmholtz Imaging Germany Faculty of Mathematics and Computer Science and Medical Faculty Heidelberg University Heidelberg Germany NCT Heidelberg a partnership between DKFZ University Medical Center Heidelberg Germany Faculty of Mathematics and Computer Science Heidelberg University Heidelberg Germany Heidelberg Division of Intelligent Medical Systems Germany partner site Frankfurt/Mainz a partnership between DKFZ and UCT Frankfurt-Marburg Germany Heidelberg Goethe University Frankfurt Germany Department of Medicine Goethe University Frankfurt Germany Department of Informatics Frankfurt Cancer Insititute Germany Department of Computing Imperial College London London United Kingdom Heidelberg Division of Medical Image Computing and HI Applied Computer Vision Lab Germany Institute for AI in Medicine University Medicine Essen Essen Germany Centre for Biomedical Image Analysis Faculty of Informatics Masaryk University Brno Czech Republic ARTORG Center for Biomedical Engineering Research University of Bern Bern Switzerland Department of Radiation Oncology University Hospital Bern University of Bern Bern Switzerland Simula Metropolitan Center for Digital Engineering Oslo Norway UiT The Arctic University of Norway Romsø Norway Heidelberg Division of Biostatistics Germany Heidelberg Division of Intelligent Medical Systems Division of Medical Image Computing HI Applied Computer Vision Lab Germany MRC Unit for Lifelong Health and Ageing UCL Centre for Medical Image Computing Department of Computer Science University College London London United Kingdom School of Biomedical Engineering and Imaging Science King’s College London London United Kingdom Heidelberg Division of Medical Image Computing Germany Instituto de Cálculo CONICET – Universidad de Buenos Aires Buenos Aires Argentina Centre for Medical Image Computing University College London London United Kingdom McGill University Montréal

Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. Particularly in automatic biomedical image analysis, chosen performance metrics often do not reflect the domain interest, thus failing to adequately measure scientific progress and hindering translation of ML techniques into practice. To overcome this, we created Metrics Reloaded, a comprehensive framework guiding researchers in the problem-aware selection of metrics. It was developed by a large international consortium in a multi-stage Delphi process and is based on the novel concept of a problem fingerprint – a structured representation of the given problem that captures all aspects that are relevant for metric selection, from the domain interest to the properties of the target structure(s), data set and algorithm output. Based on the problem fingerprint, users are guided through the process of choosing and applying appropriate validation metrics while being made aware of potential pitfalls. Metrics Reloaded targets image analysis problems that can be interpreted as a classification task at image, object or pixel level, namely image-level classification, object detection, semantic segmentation, and instance segmentation tasks. To improve the user experience, we implemented the framework in the Metrics Reloaded online tool. Following the convergence of ML methodology across application domains, Metrics Reloaded fosters the convergence of validation methodology. Its applicability is demonstrated for various biomedical use cases. © 2022, CC BY.

关键词： Semantic Segmentation

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Design of Two-turns Loop Antenna with Magnetic Core for Efficient Wireless Powering of Medical Telemetry

Design of Two-turns Loop Antenna with Magnetic Core for Effi...

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International Applied Computational Electromagnetics Society Symposium in China

作者： Yong Song Kaihong Song Xianliang Wu Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University

ISBN: (纸本)9781509043118

We present an inductive powering system of a two-turns loop antenna which includes external and implanted antennas each with a cylinder magnetic core. It can wirelessly transfer power to loop antenna of a compact plane structure in cortex. Compared to single antenna without magnetic core, it can achieve highly-efficient (24.8%) wireless power transferring to implanted loop antenna and reduce the SAR to 83.2%. By improving the link power transfer efficiency and decreasing the SAR, we optimize the antenna's structural parameter. Then, we propose different liquid of concentrations to simulate human skin, which is used for power transmission experiment at 100MHz.

关键词： Transmitting antennas Antenna measurements Magnetic cores Wireless communication Skin Dielectrics

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A light and discriminative deep networks for off-line handwritten Chinese character recognition

A light and discriminative deep networks for off-line handwr...

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Youth Academic Annual Conference of Chinese Association of Automation (YAC)

作者： Shimeng Yang Fudong Nian Teng Li Key Laboratory of Intelligent Computing & Signal Processing Anhui University Hefei China

ISBN: (纸本)9781538629024

A practical method to improve the performance of off-line Handwritten Chinese Character Recognition (HCCR) was proposed in this paper. The center loss was used in face verification task to optimize intra-class distance. With the joint supervision of softmax loss and center loss, A light convolutional neural networks (CNNs) framework was trained for off-line HCCR which could optimize inter and intra difference simultaneously. Extensive experimental results on pubic dataset demonstrate that the performance of HCCR is improved significantly.

关键词： Character recognition Convolution Training Neural networks Databases Feature extraction Face

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Fast simulations of electromagnetic scattering from 1-D rough surface through adaptively modified characteristic basis function method

Fast simulations of electromagnetic scattering from 1-D roug...

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International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications (MAPE)

作者： Jing Jing Wang An Qi Wang Zhi Xiang Huang Key Laboratory of intelligent Computing & Signal Processing Anhui University Hefei China

In this paper, the Adaptively Modified Characteristic Basis Function Method (AMCBFM) is proposed to fast simulate the electromagnetic scattering from one-dimensional rough surface. Firstly, the Primary Characteristic Basis Functions (PCBFs) arising from the self-interaction within the self-block are generated, and the coefficients of the basis function and the first current of each block are obtained. Secondly, the Secondary Characteristic Basis Functions (SCBFs) which account for the mutual coupling effects from the other distinct domains are obtained by using the inter-impedances. The higher SCBFs can be also derived through the same way. Finally, a new precision method is applied to control the current error, which is used to determine the order of the higher order SCBFs. By Comparing numerical simulations through the AMCBFM and the traditional Characteristic Basis Function Method (CBFM), the AMCBFM can guarantee the accuracy and void higher iteration, and the convergence performance is better than the CBFM in the lower order SCBFs. Moreover, by comparing numerical results of the AMCBFM and the method of moments (MoM), the AMCBFM can effectively reduce the size of the impedance matrix, and significantly reduce computing time.

关键词： Electromagnetic scattering Rough surfaces Surface roughness Method of moments Adaptation models Nickel

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Wide-band EM scattering from multiple dielectric targets above a dielectric rough sea surface based on maehly approximation

Wide-band EM scattering from multiple dielectric targets abo...

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International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications (MAPE)

作者： Ran Bao An Qi Wang Zhi Xiang Huang Key Laboratory of intelligent Computing & Signal Processing Anhui University Hefei China

In this paper an efficient method is proposed to simulate the wide-band electromagnetic (EM) scattering from multiple dielectric targets above a dielectric PM rough sea surface, which is based on Chebyshev series and Maehly approximation. Comparing with the traditional frequency domain algorithms, such as method of moments (MoM), the proposed algorithm is efficiently in reducing the computational time. Simulated results show that the Maehly approximation and the repeatedly simulations obtained by the MoM have achieved an excellent agreement both in horizontal and vertical polarization.

关键词： Method of moments Reflection coefficient Scattering Dielectrics Rough surfaces Surface roughness Sea surface

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