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arXiv 2023年

作者： Li, Jianning Zhou, Zongwei Yang, Jiancheng Pepe, Antonio Gsaxner, Christina Luijten, Gijs Qu, Chongyu Zhang, Tiezheng Chen, Xiaoxi Li, Wenxuan Wodzinski, Marek Friedrich, Paul Xie, Kangxian Jin, Yuan Ambigapathy, Narmada Nasca, Enrico Solak, Naida Melito, Gian Marco Vu, Viet Duc Memon, Afaque R. Schlachta, Christopher De Ribaupierre, Sandrine Patel, Rajnikant Eagleson, Roy Chen, Xiaojun Mächler, Heinrich Kirschke, Jan Stefan de la Rosa, Ezequiel Christ, Patrick Ferdinand Li, Hongwei Bran Ellis, David G. Aizenberg, Michele R. Gatidis, Sergios Küstner, Thomas Shusharina, Nadya Heller, Nicholas Andrearczyk, Vincent Depeursinge, Adrien Hatt, Mathieu Sekuboyina, Anjany Löffler, Maximilian Liebl, Hans Dorent, Reuben Vercauteren, Tom Shapey, Jonathan Kujawa, Aaron Cornelissen, Stefan Langenhuizen, Patrick Ben-Hamadou, Achraf Rekik, Ahmed Pujades, Sergi Boyer, Edmond Bolelli, Federico Grana, Costantino Lumetti, Luca Salehi, Hamidreza Ma, Jun Zhang, Yao Gharleghi, Ramtin Beier, Susann Sowmya, Arcot Garza-Villarreal, Eduardo A. Balducci, Thania Angeles-Valdez, Diego Souza, Roberto Rittner, Leticia Frayne, Richard Ji, Yuanfeng Ferrari, Vincenzo Chatterjee, Soumick Dubost, Florian Schreiber, Stefanie Mattern, Hendrik Speck, Oliver Haehn, Daniel John, Christoph Nürnberger, Andreas Pedrosa, João Ferreira, Carlos Aresta, Guilherme Cunha, António Campilho, Aurélio Suter, Yannick Garcia, Jose Lalande, Alain Vandenbossche, Vicky Van Oevelen, Aline Duquesne, Kate Mekhzoum, Hamza Vandemeulebroucke, Jef Audenaert, Emmanuel Krebs, Claudia van Leeuwen, Timo Vereecke, Evie Heidemeyer, Hauke Röhrig, Rainer Hölzle, Frank Badeli, Vahid Krieger, Kathrin Gunzer, Matthias Chen, Jianxu van Meegdenburg, Timo Dada, Amin Balzer, Miriam Fragemann, Jana Jonske, Frederic Rempe, Moritz Malorodov, Stanislav Bahnsen, Fin H. Seibold, Constantin Jaus, Alexander Marinov, Zdravko Jaeger, Paul F. Stiefelhagen, Rainer Santos, Ana Sofia Lindo, Mariana Ferreira, André Alves, Victor Kamp, Michael Abourayya, Amr Nensa, Felix Hörst, Fabian Brehmer, Alexander Hein Girardetstraße 2 Essen45131 Germany Graz University of Technology Inffeldgasse 16c Graz8010 Austria Graz Austria The Department of Computer Science Johns Hopkins University Malone Hall 3400 N Charles St BaltimoreMD21218 United States Rte Cantonale Lausanne1015 Switzerland The Department of Measurement and Electronics AGH University of Science and Technology Krakow Poland Sierre Switzerland Department of Biomedical Engineering University of Basel Hegenheimermattweg Allschwil167C CH-4123 Switzerland The Boston College 140 Commonwealth Ave Chestnut HillMA02467 United States University Hospital B7-200 339 Windermere Road LondonN6A 5A5 Canada The Department of Radiology Renji Hospital School of Medicine Shanghai Jiao Tong University Shanghai200240 China The Research Center for Connected Healthcare Big Data ZhejiangLab Zhejiang Hangzhou311121 China The Faculty of Statistics Technical University Dortmund August-Schmidt-Straße 1 Dortmund44227 Germany The Institute of Mechanics Graz University of Technology Kopernikusgasse 24/IV Graz8010 Austria The Institute of Biomedical Manufacturing and Life Quality Engineering State Key Laboratory of Mechanical System and Vibration School of Mechanical Engineering Shanghai Jiao Tong University 800 Dongchuan Road Shanghai200240 China The Department of Cardiac Surgery Medical University Graz Auenbruggerplatz 29 Graz8036 Austria The Department of Diagnostic and Interventional Radiology University Hospital Giessen Justus-Liebig-University Giessen Klinikstraße 33 Giessen35392 Germany The Department of Mechanical Engineering Mehran University of Engineering and Technology Jamshoro Sindh76062 Pakistan The Institute of Medical Robotics Shanghai Jiao Tong University Shanghai China The Geschäftsführender Oberarzt Abteilung für Interventionelle und Diagnostische Neuroradiologie Universitätsklinikum der Technischen Universität München Ismaningerstr. 22 München81675 Germany icometrix Kolonel Be

Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models are used. This is seen from numerous shape-related publications in premier vision conferences as well as the growing popularity of ShapeNet (about 51,300 models) and Princeton ModelNet (127,915 models). For the medical domain, we present a large collection of anatomical shapes (e.g., bones, organs, vessels) and 3D models of surgical instrument, called MedShapeNet, created to facilitate the translation of data-driven vision algorithms to medical applications and to adapt SOTA vision algorithms to medical problems. As a unique feature, we directly model the majority of shapes on the imaging data of real patients. As of today, MedShapeNet includes 23 datasets with more than 100,000 shapes that are paired with annotations (ground truth). Our data is freely accessible via a web interface and a Python application programming interface (API) and can be used for discriminative, reconstructive, and variational benchmarks as well as various applications in virtual, augmented, or mixed reality, and 3D printing. Exemplary, we present use cases in the fields of classification of brain tumors, skull reconstructions, multi-class anatomy completion, education, and 3D printing. In future, we will extend the data and improve the interfaces. The project pages are: https://***/ and https://***/Jianningli/*** Codes 68T01 © 2023, CC BY.

关键词： Large dataset

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Energy efficiency optimization for secure transmission in MISO cognitive radio network with energy harvesting

arXiv

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arXiv 2019年

作者： Zhang, Miao Cumanan, Kanapathippillai Thiyagalingam, Jeyarajan Wang, Wei Burr, Alister G. Ding, Zhiguo Dobre, Octavia A. School of Information Science and Technology Nantong University Nantong China Department of Electronic Engineering University of York York United Kingdom Scientific Computing Department of Rutherford Appleton Laboratory Science and Technology Facilities Council Harwell Campus Didcot United Kingdom Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen China School of Electrical and Electronic Engineering University of Manchester Manchester United Kingdom Department of Electrical and Computer Engineering Memorial University St. JohnsNLA1B 3X5 Canada

In this paper, we investigate different secrecy energy efficiency (SEE) optimization problems in a multiple-input single-output underlay cognitive radio (CR) network in the presence of an energy harvesting receiver. In particular, these energy efficient designs are developed with different assumptions of channels state information (CSI) at the transmitter, namely perfect CSI, statistical CSI and imperfect CSI with bounded channel uncertainties. In particular, the overarching objective here is to design a beamforming technique maximizing the SEE while satisfying all relevant constraints linked to interference and harvested energy between transmitters and receivers. We show that the original problems are non-convex and their solutions are intractable. By using a number of techniques, such as non-linear fractional programming and difference of concave (DC) functions, we reformulate the original problems so as to render them tractable. We then combine these techniques with the Dinkelbach's algorithm to derive iterative algorithms to determine relevant beamforming vectors which lead to the SEE maximization. In doing this, we investigate the robust design with ellipsoidal bounded channel uncertainties, by mapping the original problem into a sequence of semidefinite programs by employing the semidefinite relaxation, non-linear fractional programming and S-procedure. Furthermore, we show that the maximum SEE can be achieved through a search algorithm in the single dimensional space. Numerical results, when compared with those obtained with existing techniques in the literature, show the effectiveness of the proposed designs for SEE maximization. Copyright © 2019, The Authors. All rights reserved.

关键词： Cognitive radio

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Design of Wavelet Neural Network Controller Based on Genetic Algorithm 3rd

Design of Wavelet Neural Network Controller Based on Genetic...

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2017 IEEE 第3届信息技术与机电一体化工程国际学术会议(ITOEC 2017)

作者： Jie Duan Yan Jiang Jingbo Zhao Yongwei Tang College of Automation Engineering Qingdao University of Technology Shandong Provincial Key Laboratory of Computer Networks Shandong Computer Science Center(National Supercomputer Center in Jinan)

Wavelet neural network has a slow convergence rate,weak global search capability and easy to search the search results to a minimum,while the genetic algorithm has a high degree of parallelism,randomn

ISBN: (纸本)9781509053643;9781509053636

关键词： Neural networks Genetic algorithms Wavelet transforms Optimization Convergence Encoding Automobiles

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GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic networks

GCN-GAN: A Non-linear Temporal Link Prediction Model for Wei...

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IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies

作者： Kai Lei Meng Qin Bo Bai Gong Zhang Min Yang PCL Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen China ICNLAB School of Electronics and Computer Engineering (SECE) Peking University Shenzhen China Future Network Theory Lab 2012 Labs Huawei Technologies Co. Ltd Hong Kong China Chinese Academy of Sciences Shenzhen Institutes of Advanced Technology Shenzhen China

In this paper, we generally formulate the dynamics prediction problem of various network systems (e.g., the prediction of mobility, traffic and topology) as the temporal link prediction task. Different from conventional techniques of temporal link prediction that ignore the potential non-linear characteristics and the informative link weights in the dynamic network, we introduce a novel non-linear model GCN-GAN to tackle the challenging temporal link prediction task of weighted dynamic networks. The proposed model leverages the benefits of the graph convolutional network (GCN), long short-term memory (LSTM) as well as the generative adversarial network (GAN). Thus, the dynamics, topology structure and evolutionary patterns of weighted dynamic networks can be fully exploited to improve the temporal link prediction performance. Concretely, we first utilize GCN to explore the local topological characteristics of each single snapshot and then employ LSTM to characterize the evolving features of the dynamic networks. Moreover, GAN is used to enhance the ability of the model to generate the next weighted network snapshot, which can effectively tackle the sparsity and the wide-value-range problem of edge weights in real-life dynamic networks. To verify the model's effectiveness, we conduct extensive experiments on four datasets of different network systems and application scenarios. The experimental results demonstrate that our model achieves impressive results compared to the state-of-the-art competitors.

关键词： Predictive models Hidden Markov models Task analysis Topology Network topology Generative adversarial networks Gallium nitride

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A Compound Fuzzy Control Method for Agricultural Machinery Automatic Navigation Based on Genetic Algorithm 2

A Compound Fuzzy Control Method for Agricultural Machinery A...

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2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC 2017)

作者： Jie Duan Maoli Wang Yan Jiang Jingbo Zhao Yongwei Tang College of Automation Engineering Qingdao University of Technology Shandong Provincial Key Laboratory of Computer Networks Shandong Computer Science Center(National Supercomputer Center in Jinan)

ISBN: (纸本)9781509064151;9781509064144

In this paper, an adaptive fuzzy control algorithm based on genetic algorithm is proposed. The membership function of fuzzy controller and the optimization of fuzzy rules are carried out simultaneously. Through the data fusion method, the lateral deviation and the heading deviation two sensors are fused into a data, and through the control of this parameter in the allowed range change, realizes the agricultural machinery to move along the desired path. The last is to determine the control method of automatic navigation of agricultural machinery according to the operation characteristics, simulation results show that the optimization of the parameters of the fuzzy controller strategy, the system has good dynamic and static characteristics, the control effect is very good.

关键词： Genetic Algorithm Adaptive Fuzzy Control Automatic Navigation

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Based on self-learning dictionary Circuit Board Fault Diagnosis Device 2

Based on self-learning dictionary Circuit Board Fault Diagno...

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2017 IEEE 第2届先进信息技术,电子与自动化控制国际会议(IAEAC 2017)

作者： Yongwei Tang Chunmei Wang Maoli Wang Huijuan Hao Jingbo Zhao Shandong Provincial Key Laboratory of Computer Networks Shandong Computer Science Center (National Supercomputer Center in Jinan) School of Automation Engineering Qingdao University of Technology

In the classical fault dictionary fault detection method based on the law, a microcontroller-based self-learning fault dictionary method for the circuit board fault detection. At the same time designe

ISBN: (纸本)9781467389808

关键词： Circuit faults Printed circuits Dictionaries Signal detection Power supplies Instruments Rectifiers

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Orbital-Angular-Momentum Versus MIMO: Orthogonality, Degree of Freedom, and Capacity

Orbital-Angular-Momentum Versus MIMO: Orthogonality, Degree ...

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International Symposium on Personal, Indoor, and Mobile Radio Communications

作者： Haiyue Jing Wenchi Cheng Xiang-Gen Xia Hailin Zhang State Key Laboratory of Integrated Services Networks Xidian University Xi'an China Department of Electrical and Computer Engineering University of Delaware Newark DE 19716

ISBN: (纸本)9781538660102

The plane wave based wireless communications have becoming more and more matured, along with the well utilization of the traditional resources such as time and frequency. To further increase the capacity for rapidly increasing capacity demand of wireless communications, it is potential to use the twist wave, which has the orbital angular momentum (OAM). In this paper, we discuss the OAM based wireless communications in the aspect of orthogonality, degree of freedom (DoF), and capacity, where both the transmitter and the receiver use uniform circular array (UCA) antennas. In particular, we compare OAM based wireless communications with multiple-input-multiple-output (MIMO) based wireless communications in terms of DoF and capacity. Numerical results are presented to validate and evaluate that the DoF of OAM based wireless communications is greater than or equal to that of correlated MIMO based wireless communications when the transmitter and the receiver antennas are aligned well. The OAM based wireless communications can achieve larger capacity than the correlated MIMO in high signal-to-noise ratio (SNR) region under line-of-sight scenario.

关键词： Orbital-angular-momentum (OAM) u-niform circular array (UCA) orthogonality degree of freedom (DoF) capacity multiple-input-multiple-output (MIMO)

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On the design and application of Thermal Isolation Servers

On the design and application of Thermal Isolation Servers

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作者： Ahmed, Rehan Huang, Pengcheng Millen, Max Thiele, Lothar Computer Engineering and Networks Laboratory ETH Zurich Zurich8092 Switzerland Department of Electrical and Computer Engineering ETH Zurich Gloriastrasse 35 Zurich8092 Switzerland

Recently, there has been an increasing trend towards executing real-time applications on multi-core platforms. However, this complicates the design problem, as applications running on different cores can interfere due to shared resources and mediums. In this paper, we focus on thermal interference, where a given task (τ1) heats the processor, resulting in reduced service (due to Dynamic Thermal Management (DTM)) to another task (τ2). In real-time domain, where tasks have deadline constraints, thermal interference is a substantial problem as it directly impacts the Worst Case Execution Time (WCET) of the effected application (τ2). The problem exacerbates as we move to mixed-criticality systems, where the criticality of τ2 may be greater than the criticality of τ1, complicating the certification process. In this paper, we propose a server based strategy (Thermal Isolation Server (TI Server)) which can be used to avoid thermal interference of applications. We also present a heuristic to design TI Servers to meet the timing constraints of all tasks and the thermal constraints of the system. TI Servers are time/space composable, and can be applied to a variety of task models. We also evaluate TI Servers on a hardware test-bed for validation purposes. © 2017 ACM.

关键词： Criticality (nuclear fission)

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Additional Rayleigh-scattering phase in distributed acoustic sensing system

Additional Rayleigh-scattering phase in distributed acoustic...

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Optical Fiber Sensors, OFS 2018

作者： He, Xiangge Gu, Lijuan Liu, Fei Yi, Duo Zhang, Min Chen, Zhangyuan School of Electronics Engineering and Computer Science Peking University Beijing100871 China School of Physics Peking University Beijing100871 China Institute of Ocean Research Peking University Beijing100871 China State Key Laboratory of Advanced Optical Communication Systems and Networks Peking University Beijing100871 China

The theoretical model for distributed acoustic sensing system is developed which agrees well with the experiment, and the phase fading phenomenon caused by additional Rayleigh-scattering phase is studied for the first... 详细信息

ISBN: (纸本)9781943580507

关键词： Rayleigh scattering

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Optomechanical oscillation in the lithium niobate photonic crystal nanocavity

Optomechanical oscillation in the lithium niobate photonic c...

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Conference on Lasers and Electro-Optics/Pacific Rim, CLEOPR 2018

作者： Jiang, Haowei Liang, Hanxiao Luo, Rui Chen, Xianfeng Chen, Yuping Lin, Qiang State Key Laboratory of Advanced Optical Communication Systems and Networks School of Physics and Astronomy Shanghai Jiao Tong University Shanghai200240 China Institute of Optics University of Rochester RochesterNY14627 United States Department of Electrical and Computer Engineering University of Rochester RochesterNY14627 United States

Nonlinear optomechanical oscillations are observed in the lithium niobate photonic crystal nanocavity. High harmonic oscillations up to 14th order are achieved, which may function as a mechanical frequency comb. ©... 详细信息

ISBN: (纸本)9781943580453

关键词： Lithium

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