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5th International Conference on Eco-Friendly Computing and communication Systems, ICECCS 2016

作者： Kumar, Sunil Scholar, Research Kataria, Rajesh Rana, K.P.S. Kumar, Vineet Department of Electronics and Communication Engineering Bhagwant University Ajmer Rajasthan305004 India Division of Instrumentation and Control Engineering Netaji Subhas Institute of Technology Dwarka New Delhi110078 India

ISBN: (纸本)9781509043590

In this paper, a Flyback-Forward converter employing a non-cascading scheme is presented in discontinuous conduction mode. The converter is designed to enhance the duty ratio of over 50%. As a result, the flyback sub-converter acts in boost mode and generates stepped-up output voltage. Since the switch utilization is required to be as high as possible in a forward converter, in present case, this objective is also simultaneously achieved. The simulation results obtained for a 24 V, 24W converter show the duty ratio greater than 50%. © 2016 IEEE.

关键词： Power electronics

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The Liver Tumor Segmentation Benchmark (LiTS)

arXiv

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arXiv 2019年

作者： Bilic, Patrick Christ, Patrick Li, Hongwei Bran Vorontsov, Eugene Ben-Cohen, Avi Kaissis, Georgios Szeskin, Adi Jacobs, Colin Mamani, Gabriel Efrain Humpire Chartrand, Gabriel Lohöfer, Fabian Holch, Julian Walter Sommer, Wieland Hofmann, Felix Hostettler, Alexandre Lev-Cohain, Naama Drozdzal, Michal Amitai, Michal Marianne Vivanti, Refael Sosna, Jacob Ezhov, Ivan Sekuboyina, Anjany Navarro, Fernando Kofler, Florian Paetzold, Johannes C. Shit, Suprosanna Hu, Xiaobin Lipková, Jana Rempfler, Markus Piraud, Marie Kirschke, Jan Wiestler, Benedikt Zhang, Zhiheng Hülsemeyer, Christian Beetz, Marcel Ettlinger, Florian Antonelli, Michela Bae, Woong Bellver, Míriam Bi, Lei Chen, Hao Chlebus, Grzegorz Dam, Erik B. Dou, Qi Fu, Chi-Wing Georgescu, Bogdan Giró-I-Nieto, Xavier Gruen, Felix Han, Xu Heng, Pheng-Ann Hesser, Jürgen Moltz, Jan Hendrik Igel, Christian Isensee, Fabian Jäger, Paul Jia, Fucang Kaluva, Krishna Chaitanya Khened, Mahendra Kim, Ildoo Kim, Jae-Hun Kim, Sungwoong Kohl, Simon Konopczynski, Tomasz Kori, Avinash Krishnamurthi, Ganapathy Li, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Lowengrub, John Ma, Jun Maier-Hein, Klaus Maninis, Kevis-Kokitsi Meine, Hans Merhof, Dorit Pai, Akshay Perslev, Mathias Petersen, Jens Pont-Tuset, Jordi Qi, Jin Qi, Xiaojuan Rippel, Oliver Roth, Karsten Sarasua, Ignacio Schenk, Andrea Shen, Zengming Torres, Jordi Wachinger, Christian Wang, Chunliang Weninger, Leon Wu, Jianrong Xu, Daguang Yang, Xiaoping Yu, Simon Chun-Ho Yuan, Yading Yue, Miao Zhang, Liping Cardoso, Jorge Bakas, Spyridon Braren, Rickmer Heinemann, Volker Pal, Christopher Tang, An Kadoury, Samuel Soler, Luc van Ginneken, Bram Greenspan, Hayit Joskowicz, Leo Menze, Bjoern Department of Informatics Technical University of Munich Germany Department of Quantitative Biomedicine University of Zurich Switzerland Ecole Polytechnique de Montréal Canada Department of Medical Imaging Radboud University Medical Center Nijmegen Netherlands Department of Biomedical Engineering Tel-Aviv University Israel Germany Pattern Analysis and Learning Group Department of Radiation Oncology Heidelberg University Hospital Heidelberg Germany Philips Research China Philips China Innovation Campus Shanghai China School of Biomedical Engineering & Imaging Sciences King0s College London London United Kingdom Institute for AI in Medicine Technical University of Munich Germany Department of Computer Science Guangdong University of Foreign Studies China Institute for diagnostic and interventional radiology Klinikum rechts der Isar Technical University of Munich Germany Institute for Diagnostic and Interventional Neuroradiology Klinikum Rechts der Isar Technical University of Munich Germany Department of Hepatobiliary Surgery The Affiliated Drum Tower Hospital Nanjing University Medical School China Department of Computing Imperial College London London United Kingdom Institute for Tissue Engineering and Regenerative Medicine Helmholtz Zentrum München Neuherberg Germany Brigham and Women's Hospital Harvard Medical School United States School of Computer Science and Engineering The Hebrew University of Jerusalem Israel University of Pennsylvania PA United States Pte. Ltd. Singapore Medical Imaging and Reconstruction Lab Department of Engineering Design Indian Institute of Technology Madras India Sensetime Shanghai China Department of Radiology Perelman School of Medicine University of Pennsylvania United States Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania PA United States Co. Ltd China MontréalQC Canada Department of Radiology Radiation Oncology and Nuclear Medicine University of Montréal

In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International Symposium on Biomedical Imaging (ISBI) 2017 and the International Conferences on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2017 and 2018. The image dataset is diverse and contains primary and secondary tumors with varied sizes and appearances with various lesion-to-background levels (hyper-/hypo-dense), created in collaboration with seven hospitals and research institutions. Seventy-five submitted liver and liver tumor segmentation algorithms were trained on a set of 131 computed tomography (CT) volumes and were tested on 70 unseen test images acquired from different patients. We found that not a single algorithm performed best for both liver and liver tumors in the three events. The best liver segmentation algorithm achieved a Dice score of 0.963, whereas, for tumor segmentation, the best algorithms achieved Dices scores of 0.674 (ISBI 2017), 0.702 (MICCAI 2017), and 0.739 (MICCAI 2018). Retrospectively, we performed additional analysis on liver tumor detection and revealed that not all top-performing segmentation algorithms worked well for tumor detection. The best liver tumor detection method achieved a lesion-wise recall of 0.458 (ISBI 2017), 0.515 (MICCAI 2017), and 0.554 (MICCAI 2018), indicating the need for further research. LiTS remains an active benchmark and resource for research, e.g., contributing the liver-related segmentation tasks in http://***/. In addition, both data and online evaluation are accessible via ***. © 2019, CC BY-NC-ND.

关键词： Deep learning

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Preface

Advances in Intelligent Systems and Computing

引用

Advances in Intelligent Systems and Computing 2018年 620卷 v-vi页

作者： Omatu, Sigeru Rodríguez, Sara Villarrubia, Gabriel Faria, Pedro Sitek, Pawel Prieto, Javier Faculty of Engineering Department of Electronics Information and Communication Engineering Osaka Institute of Technology OsakaOsaka Japan Faculty of Science Department of Computer Science and Automation Control University of Salamanca Salamanca Spain GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development Instituto Superior de Engenharia do Porto Porto Portugal Faculty of Electrical Engineering and Computer Science Department of Control and Management Systems Department of Information Systems Kielce University of Technology Kielce Poland

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Origins of diamond surface noise probed by correlating single spin measurements with surface spectroscopy

arXiv

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arXiv 2018年

作者： Sangtawesin, Sorawis Dwyer, Bo L. Srinivasan, Srikanth Allred, James J. Rodgers, Lila V.H. de Greve, Kristiaan Stacey, Alastair Dontschuk, Nikolai O’Donnell, Kane M. Hu, Di Andrew Evans, D. Jaye, Cherno Fischer, Daniel A. Markham, Matthew L. Twitchen, Daniel J. Park, Hongkun Lukin, Mikhail D. de Leon, Nathalie P. Department of Electrical Engineering Princeton University PrincetonNJ08544 United States Department of Physics Harvard University CambridgeMA02138 United States Centre for Quantum Computation and Communication Technology School of Physics University of Melbourne ParkvilleVIC3010 Australia Department of Physics Astronomy and Medical Radiation Science Curtin University BentleyWA Australia Department of Physics Aberystwyth University AberystwythSY23 3BZ United Kingdom Material Measurement Laboratory National Institute of Standards and Technology GaithersburgMD20899 United States Element Six HarwellOX11 0QR United Kingdom Department of Chemistry and Chemical Biology Harvard University CambridgeMA02138 United States

The nitrogen vacancy (NV) center in diamond exhibits spin-dependent fluorescence and long spin coherence times under ambient conditions, enabling applications in quantum information processing and sensing 1, 2. NV centers near the surface can have strong interactions with external materials and spins, enabling new forms of nanoscale spectroscopy 3–6. However, NV spin coherence degrades within 100 nanometers of the surface, suggesting that diamond surfaces are plagued with ubiquitous defects 7–10. Prior work on characterizing near-surface noise has primarily relied on using NV centers themselves as probes 7–12;while this has the advantage of exquisite sensitivity, it provides only indirect information about the origin of the noise. Here we demonstrate that surface spectroscopy methods and single spin measurements can be used as complementary diagnostics to understand sources of noise. We find that surface morphology is crucial for realizing reproducible chemical termination, and use these insights to achieve a highly ordered, oxygen-terminated surface with suppressed noise. We observe NV centers within 10 nm of the surface with coherence times extended by an order of magnitude. Copyright © 2018, The Authors. All rights reserved.

关键词： Spectroscopic analysis

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Hyperspectral image unmixing algorithm based on endmember-constrained nonnegative matrix factorization

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Frontiers of Optoelectronics 2016年第4期9卷 627-632页

作者： Yan ZHAO Zhen ZHOU Donghui WANG Yicheng HUANG Minghua YU School of Measurement and Communication Harbin University of Science and Technology Harbin 150080 China School of Electrical and Control Engineering Heilong~iang University of Science and Technology Harbin 150022 China College of Information and Communication Engineering Harbin Engineering University Harbin 150001 China Qiqihar Vehicle G-roup.Qiqihar 161000 China

The objective function of classical nonnegative matrix factorization （NMF） is non-convexity, which affects the obtaining of optimal solutions. In this paper, we proposed a NMF algorithm, and this algorithm was based on the constraint of endmember spectral correlation minimization and endmember spectral difference max- imization. The size of endrnember spectral overall- correlation was measured by the correlation function, and correlation function was defined as the sum of the absolute values of every two correlation coefficient between the spectra. In the difference constraint of the endmember spectra, the mutation of matrix trace was slowed down by introducing the natural logarithm function. Combining the image decomposition error with the influences of end- member spectra, in the objective function the projection gradient was used to achieve NMF. The effectiveness of algorithm was verified by the simulated hyperspeetral images and real hyperspectral images.

关键词： hyperspeclral image unmixing nonnegativematrix factorization （NMF） correlation logarithm function

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Dead time approximation of LTI SISO systems in time domain using generalized Laguerre functions

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AIP Conference Proceedings 2018年第1期1978卷

作者： Martin Tůma Pavel Jura 1Central European Institute of Technology CEITEC BUT Brno University of Technology Technicka 12 616 00 Brno Czech Republic Department of Control & Instrumentation Faculty of Electrical Engineering and Communication Brno University of Technology Technicka 12 616 00 Brno Czech Republic 2Central European Institute of Technology CEITEC BUT Brno University of Technology Technicka 12 616 00 Brno Czech Republic

In this article some properties of the generalized Laguerre functions (GLF) will be presented. The application of the generalized Laguerre functions for modeling of the dead time in the time domain will be shown. The speed of convergence for the approximating series with the generalized Laguerre functions will be compared with the simple Laguerre functions series.

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Optimal parameters for the generalized Laguerre identification method

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AIP Conference Proceedings 2018年第1期1978卷

In this article the question of the optimal choice of the generalization parameter α and the time-scale parameter p for truncated series of generalized Laguerre functions (GLF) will be studied. Short introduction of the GLF identification method will be given. The impact of the optimal choice of parameters α and p for approximating output signals of LTI dynamical systems will be presented on the examples.

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Investigations of wireless transmission model based on delta function in indoor environment

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International Journal of Metrology and Quality engineering 2016年第1期7卷

作者： Krupanek, Beata Bogacz, Ryszard Silesian University of Technology Faculty of Electrical Engineering Institute of Measurement Science Electronics and Control Gliwice Poland

The paper presents an application of probabilistic model to describe a radio propagation delay in indoor environment. Model is based of delta functions sequence to describe retransmissions between a transmitter and a receiver. Theoretical considerations have been verified by measurement results obtained by using the experimental system developed for investigating delays caused by external disturbances influencing the wireless transmission. One of such a commonly occurring disturbances are walls in building where the radio signal is propagating. © 2016 EDP Sciences.

关键词： Delta functions

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Improved Message Passing Algorithms for Resource Allocation in Two-Tier Femtocell Networks

Improved Message Passing Algorithms for Resource Allocation ...

引用

IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio communications

作者： Qun Gu Yinglei Teng Mei Song Automatic Test and Control Institute of Harbin Institute of Technology Harbin China Measurement and Communication Institute Harbin University of Science and Technology Harbin China

ISBN: (纸本)9781509032556

Deploying femtocells in macrocell network is an economical and reliable way to increase network coverage and efficiency. However, such deployment poses great challenges for the resource allocation of two tier femtocell networks due to the existence of inter-tier and intra-tier interference. We propose a uplink transmission resource allocation scheme with the goal of maximizing the total power efficiency. Nevertheless, the resource allocation optimization problem is NP-hard and non-convex, thereby, we adopt message passing (MP) method which approaches the optimality by iteratively passing the messages between each user equipments (UEs) and access points (APs). To reduce excessive number of iterations, we present two improved MP algorithms, i.e. best selection message passing (BSMP) algorithm as well as UE priority message passing (UPMP) algorithm. BSMP algorithm is optimal allocation algorithm which could avoid excessive number of iterations. Based on BSMP algorithm, UPMP algorithm take the UEs' priorities into consideration to ensure the fairness of resource allocation. Compared to existing schemes, simulation results show that improved MP algorithms have excellent convergences. Meanwhile, the vast improvements on power efficiency as well as weighted power efficiency have been demonstrated.

关键词： Message passing Two-tier femtocell network Power efficiency Distributed computational burden

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OPNET Modeler simulations of performance for multi nodes wireless systems

引用

International Journal of Metrology and Quality engineering 2016年第1期7卷

作者： Krupanek, Beata Bogacz, Ryszard Silesian University of Technology Faculty of Electrical Engineering Institute of Measurement Science Electronics and Control Gliwice Poland

Paper presents a study under the Quality of Service in modern wireless sensor networks. Such a networks are characterized by small amount of data transmitted in fixed periods. Very often this data must by transmitted in real time so data transmission delays should be well known. This article shows multimode network simulated in packet OPNET Modeler. Also nowadays the quality of services is very important especially in multi-nodes systems such a home automation or measurement systems. © 2016 EDP Sciences.

关键词： Quality of service

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