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International Conference on Advances in Social Network Analysis and Mining, ASONAM

作者： Khalid Mahmood Malik Madan Krishnamurthy Pawel Marcinek Ghaus M Malik Department of Computer Science and Engineering Department of Mathematics and Statistics Oakland University Rochester Michigan USA John R. Davis Chair and Executive Vice-Chair Neurosurgery Henry Ford Health System MI USA

ISBN: (纸本)9781538660522

Ruptured intracranial aneurysms are associated with a high rate of mortality and disability due to the difficulty in predicting the rupture and complexity of the condition itself. Clinical narratives such as progress summaries and radiological reports, etc. contain key biomarkers, medical signs, and symptoms. By applying ontology-based information extraction on clinical narratives to extract important evidences and subsequently using machine learning can help to make decision support tools for complex decision making such as prediction of aneurysm rupture. According to best of our knowledge, there doesn't exist any work to extract clinical features from clinical narratives to predict the rupture of intracranial/Brain aneurysms (BA). While no single factor individually contributes to the risk of rupture of a BA, it is important to consider the combined impact of these aspects to understand the rupture probability of the aneurysm. In this paper, we explore the impact of size as a relative factor in saccular aneurysms with respect to location, gender and symptomatic/asymptomatic aspects of BA. Our study involves descriptive and inferential statistical data analysis on features extracted from retrospective electronic health records (EHRs) using natural language processing (NLP) and ontology-based information extraction techniques. Our analysis shows that size alone is not the sole contributor for rupture but the combination of size, location and patient's gender can influence aneurysm ruptures. Our results also show interesting insight that on same vasculature location, the average size of ruptured aneurysms for females is always smaller than that of males.

关键词： Radio frequency Social network services Aneurysm Logistics Unified modeling language Natural language processing Statistical analysis

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Adiabatic wavelength redshift by dynamic carrier depletion using p−i−n-diode–loaded photonic crystal waveguides

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Physical Review A 2018年第3期97卷 033818-033818页

作者： K. Kondo T. Baba Department of Electrical and Computer Engineering Yokohama National University 79-5 Tokiwadai Hodogayaku Yokohama 240-8501 Japan Photonics Integration System Research Center Laboratory for Future Interdisciplinary Research of Science and Technology Tokyo Institute of Technology 4259 Nagatsuta-cho Midoriku Yokohama 226-8503 Japan

We demonstrate an adiabatic wavelength redshift using dynamic carrier depletion. Free carriers are first induced through two-photon absorption of a control pulse and then extracted by a reverse-biased p-i-n diode formed on a Si photonic crystal waveguide, resulting in rapid carrier depletion. A copropagating signal pulse is redshifted by the consequent increase in refractive index. We experimentally evaluated the dynamics of the carrier depletion by the pump-probe method and explored suitable conditions for adiabatic redshift. The signal's redshift was observed, and was confirmed to originate in the dynamic carrier depletion. The redshift was experimentally determined as 0.21 nm.

关键词： Traveling waves

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IMAP-CampUS: Developing an intelligent mobile augmented reality program on campus as a ubiquitous system 17

IMAP-CampUS: Developing an intelligent mobile augmented real...

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9th International Conference on computer and Automation engineering, ICCAE 2017

作者： Alqahtani, Hamed Kavakli, Manolya Department of Information System Faculty of Computer Science King Khalid University Aseer Abha62529 Saudi Arabia Department of Computing Faculty of Science and Engineering Macquarie University SydneyNSW2109 Australia

ISBN: (纸本)9781450348096

Augmented Reality (AR) offers a combination of physical and virtual objects, drawing on the strengths of each. Therefore, it is different from virtual reality since it permits users to sight the real world enhanced with virtual objects. Thus, AR technology holds potential to support users with valuable information about the surrounding area. In this paper, we demonstrate the development of an AR app that provides the students with rich information about the buildings nearby. The application, which we name "iMAP-CampUS", is designed to assist students at Macquarie University in locating places of interest close to them by moving the camera of the device in all probable directions to overlay information of places around them. The iMAP-CampUS has been developed for both iOS and Android platforms and run on smartphones and tablets with different screen sizes. © 2017 ACM.

关键词： Augmented reality

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Fast network restoration by partitioning of parallel black start zones

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Journal of engineering 2017年第8期2017卷 418-426页

作者： Shen, Cong Kaufmann, Paul Braun, Martin Energy Management and Power System Operation Department Kassel University Wilhelmshoeher Allee 73 Kassel Germany Faculty for Electrical Engineering Computer Science and Mathematics University of Paderborn Warburger Str.100 Paderborn Germany Department Distribution System Operation Fraunhofer IWES Koenigstor 59 Kassel Germany

The restoration of large electrical power systems after a blackout is often a challenging task. A typical restoration process includes the partitioning of the power systems into subsystems and the successive booting of large non-black start (NBS) units by black start (BS) units. A proper partitioning of the starting zone can reduce the restoration time significantly. This paper investigates a novel network partitioning algorithm to improve the restoration time and ratio of generation and load in each subsystem. The proposed algorithm consists of three stages. In the first stage, the number of subsystems is determined by the number of available BS units and their electrical distance. In the second stage, NBS units are assigned to each subsystem in the way that the rebooting time difference among subsystems is minimised. In the third stage, the substations are assigned to one of the subsystems to achieve the optimal ratio of generation and load in each subsystem. With the proposed algorithm, the switching transient and steady-state over-voltages at the receiving end of unload lines are kept within acceptable ranges and the self-excitation phenomenon does not occur in the subsystems. Furthermore, the start-up sequence of NBS units in each subsystem is determined simultaneously. The proposed algorithm is flexible and can be adjusted very easily according to the real status of the power system. The validity and performance of the proposed approach is demonstrated through simulations using a New England 39 Nodes network and a real network from south China. © 2017 Institution of engineering and Technology. All rights reserved.

关键词： Restoration

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Two Stream Neural Networks with Traditional CNN and Gabor CNN for Object Classification

Two Stream Neural Networks with Traditional CNN and Gabor CN...

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第37届中国控制会议

作者： Jiakun Li Tian Wang Ming Gao Aichun Zhu Guangcun Shan Hichem Snoussi School of Automation Science and Electrical Engineering Beihang University Key Laboratory of Spectral Imaging technology of Chinese Academy of Sciences Beijing Institute of Electronic System Engineering School of Computer Science and Technology Nanjing University of Technology School of Instrumentation Science and Opto-electronics Engineering Beihang University University of Technology of Troyes Institute Charles Delaunay-LM2S-UMR STMR 6279 CNRS

Image classification is still a hot and challenging task in the field of computer vision. With the combination of traditional CNN and Gabor CNN, we designed color-texture convolutional neural networks. We believe that color and texture is the most important feather to describe an object. So the original image, which main consist of color information, and the image processed by Gabor, which contain the texture information, input two stream networks separately is a natural idea. And merging the output of two stream at the end of network to complete the task of classification. We design a simple but effective network structure and test it on Cifar-10, STL-10 and NWPU-RESISC45 dataset. The result shows that the network achieve a well accuracy and proves that our idea is feasible.

关键词： two stream Gabor texture object classification

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Expert system to Diagnosing Heart Attack Disease Using Certainty Factor Method 1

Expert System to Diagnosing Heart Attack Disease Using Certa...

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1st Workshop on Environmental science, Society, and Technology, WESTECH 2018

作者： Iqbal, Muhammad Fatia, Nurul Surya, Sara Susilawati, Evi Parwito Azharman, Zefri Moelyaningrum, Anita Dewi Wikansari, Rinandita Nugraha, Andri Maifizar, Arfriani Mukarromah, Nur Hasibuan, Abdurrozzaq Kurnia, Dian Ade Sudarsana, I Ketut Department of Computer System Universitas Pembangunan Panca Budi Medan Indonesia Department of Pharmacy University of Dharma Andalas Padang Indonesia Faculty of Education and Teaching Training Universitas Islam Sumatera Utara Medan Indonesia Departement of Agrotechnology Universitas Ratu Samban Bengkulu Indonesia Department of Industrial Engineering University of Putera Batam Batam Indonesia Departement of Environmental Health and Ocupational Health and Safety School of Public Health University of Jember Indonesia Department of International Trade for ASEAN and China Region Politeknik APP Jakarta Indonesia Department of Nursing STIKes Karsa Husada Garut Indonesia Department of Sociology Faculty of Social and Political Sciences Universitas Teuku Umar Meulaboh Indonesia Faculty of Health Science Universitas Muhammadiyah of Surabaya Indonesia Faculty of Engineering Universitas Islam Sumatera Utara Medan Indonesia Departement of Information Technology STMIK IKMI Cirebon Jawa Barat Indonesia Department of Religious Education Institut Hindu Dharma Negeri Denpasar Indonesia

Coronary Heart Disease is one of many diseases that cause death and still being a health problem for both developed and developing countries. It is estimated to double in the next two decades, making it the biggest leading cause of death in 2020. The causes of coronary heart disease contain age and sex, with the incidence of males is more than in females but the incidence of females will increase after menopause (the end of the menstrual cycle) around the age of 50 years. This is due to estrogen (steroid compounds) have a protective effect on the onset of atherosclerosis. In this study the author wants to create a system that can detect heart disease by users before ensuring himself to the doctor to diagnose heart disease which is very dangerous. The system that the author will design used the certainty factor method to provide an assessment of the symptoms of user diagnosis. The application was designed with the desktop-based visual studio software assistance that is easy to use by everyone because it is familiar with the windows display design. © Published under licence by IOP Publishing Ltd.

关键词： Diseases

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Author Correction: Wireless multilateral devices for optogenetic studies of individual and social behaviors

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Nature neuroscience 2022年第10期25卷 1394页

作者： Yiyuan Yang Mingzheng Wu Abraham Vázquez-Guardado Amy J Wegener Jose G Grajales-Reyes Yujun Deng Taoyi Wang Raudel Avila Justin A Moreno Samuel Minkowicz Vasin Dumrongprechachan Jungyup Lee Shuangyang Zhang Alex A Legaria Yuhang Ma Sunita Mehta Daniel Franklin Layne Hartman Wubin Bai Mengdi Han Hangbo Zhao Wei Lu Yongjoon Yu Xing Sheng Anthony Banks Xinge Yu Zoe R Donaldson Robert W Gereau Cameron H Good Zhaoqian Xie Yonggang Huang Yevgenia Kozorovitskiy John A Rogers Department of Mechanical Engineering Northwestern University Evanston IL USA. Department of Neurobiology Northwestern University Evanston IL USA. Center for Bio-Integrated Electronics Northwestern University Evanston IL USA. US Army Research Laboratory Aberdeen Proving Ground MD USA. US Army Medical Research Institute of Chemical Defense Aberdeen Proving Ground MD USA. Washington University Pain Center and Department of Anesthesiology Washington University St. Louis MO USA. State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University Shanghai China. Department of Civil and Environmental Engineering Northwestern University Evanston IL USA. Department of Materials Science and Engineering Northwestern University Evanston IL USA. Department of Physics Tsinghua University Beijing China. SURVICE Engineering Belcamp MD USA. Chemistry of Life Processes Institutes Northwestern University Evanston IL USA. Neurolux Inc Evanston IL USA. School of Civil Engineering Southwest JiaoTong University Chengdu China. School of Chemical Engineering and Technology Tianjin University Tianjin People's Republic of China. CSIR-Central Scientific Instruments Organization Ministry of Science & Technology Sector 30-C Chandigarh India. Department of Biomedical Engineering Northwestern University Evanston IL USA. Department of Electronic Engineering Tsinghua University Beijing China. Simpson Querrey Institute & Feinberg Medical School Northwestern University Evanston IL USA. Department of Biomedical Engineering City University of Hong Kong Kowloong Tong Hong Kong. Psychology and Neuroscience Molecular Cellular and Developmental Biology University of Colorado Boulder Boulder CO USA. State Key Laboratory of Structural Analysis for Industrial Equipment Department of Engineering Mechanics Dalian University of Technology Dalian P.R. China. zxie@***. Department of Mechanical Engineering Northwestern University Evanston IL USA. y-huang@northwest

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Ultrahigh-pressure form of SiO2 glass with dense pyrite-type crystalline homology

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Physical Review B 2019年第4期99卷 045153-045153页

作者： M. Murakami S. Kohara N. Kitamura J. Akola H. Inoue A. Hirata Y. Hiraoka Y. Onodera I. Obayashi J. Kalikka N. Hirao T. Musso A. S. Foster Y. Idemoto O. Sakata Y. Ohishi Department of Earth Sciences ETH Zürich Zürich 8092 Switzerland Department of Earth and Planetary Materials Science Tohoku University Sendai 980-8578 Japan Research Center for Advanced Measurement and Characterization National Institute for Materials Science (NIMS) Hyogo 679-5148 Japan Center for Materials research by Information Integration (CMI2) Research and Services Division of Materials Data and Integrated System (MaDIS) NIMS Ibaraki 305-0047 Japan Research and Utilization Division Japan Synchrotron Radiation Research Institute Hyogo 679-5198 Japan School of Materials Science Japan Advanced Institute of Science and Technology Ishikawa 923-1211 Japan PRESTO Japan Science and Technology Agency Tokyo 102-0076 Japan Department of Pure and Applied Chemistry Faculty of Science and Technology Tokyo University of Science Chiba 278-8510 Japan Department of Physics Tampere University of Technology FI-33101 Tampere Finland Department of Physics Norwegian University of Science and Technology NO-7481 Trondheim Norway Institute of Industrial Science The University of Tokyo Tokyo 153-8505 Japan Graduate School of Fundamental Science and Engineering Waseda University Tokyo 169-8555 Japan Kagami Memorial Research Institute for Materials Science and Technology Waseda University Tokyo 169-0051 Japan Mathematics for Advanced Materials-OIL AIST Sendai 980-8577 Japan WPI Advanced Institute for Materials Research Tohoku University Sendai 980-8577 Japan Kyoto University Institute for Advanced Study Kyoto University Kyoto 606-8501 Japan Center for Advanced Intelligence Project RIKEN Tokyo 103-0027 Japan Institute for Integrated Radiation and Nuclear Science Kyoto University Osaka 590-0494 Japan Department of Applied Physics Aalto University FI-00076 Aalto Finland Division of Electrical Engineering and Computer Science Graduate School of Natural Science and Technology Kanazawa University Kanazawa 920-1192 Japan

High-pressure synthesis of denser glass has been a longstanding interest in condensed-matter physics and materials science because of its potentially broad industrial application. Nevertheless, understanding its nature under extreme pressures has yet to be clarified due to experimental and theoretical challenges. Here we reveal the formation of OSi4 tetraclusters associated with that of SiO7 polyhedra in SiO2 glass under ultrahigh pressures to 200 gigapascal confirmed both experimentally and theoretically. Persistent homology analyses with molecular dynamics simulations found increased packing fraction of atoms whose topological diagram at ultrahigh pressures is similar to a pyrite-type crystalline phase, although the formation of tetraclusters is prohibited in the crystalline phase. This critical difference would be caused by the potential structural tolerance in the glass for distortion of oxygen clusters. Furthermore, an expanded electronic band gap demonstrates that chemical bonds survive at ultrahigh pressure. This opens up the synthesis of topologically disordered dense oxide glasses.

关键词： Chemical bonding Density of states Electronic structure Phase transitions Pressure effects Specific phase transitions Structural properties Topological phase transition Topological phases of matter Density functional theory Molecular dynamics Wannier function methods X-ray diffraction X-ray powder diffraction

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Publisher Correction: Deep neural networks for automated detection of marine mammal species

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Scientific reports 2020年第1期10卷 11000页

作者： Yu Shiu K J Palmer Marie A Roch Erica Fleishman Xiaobai Liu Eva-Marie Nosal Tyler Helble Danielle Cholewiak Douglas Gillespie Holger Klinck Center for Conservation Bioacoustics Cornell Lab of Ornithology Cornell University Ithaca NY 14850 USA. ys587@cornell.edu. Department of Computer Science San Diego State University San Diego CA 92182 USA. Department of Fish Wildlife and Conservation Biology Colorado State University Fort Collins CO 80523 USA. Department of Ocean and Resources Engineering University of Hawai'i at Mānoa Honolulu HI 96822 USA. US Navy Space and Naval Warfare Systems Command System Center Pacific San Diego CA 92152 USA. Northeast Fisheries Science Center National Marine Fisheries Service National Oceanic and Atmospheric Administration Woods Hole MA 02543 USA. Sea Mammal Research Unit Scottish Oceans Institute University of St. Andrews St Andrews Fife KY16 8LB Scotland. Center for Conservation Bioacoustics Cornell Lab of Ornithology Cornell University Ithaca NY 14850 USA.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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A joint learning and communications framework for federated learning over wireless networks

arXiv

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arXiv 2019年

作者： Chen, Mingzhe Yang, Zhaohui Saad, Walid Yin, Changchuan Vincent Poor, H. Cui, Shuguang Chinese University of Hong Kong Shenzhen518172 China Department of Electrical Engineering Princeton University PrincetonNJ08544 United States Centre for Telecommunications Research Department of Informatics King's College London WC2B 4BG United Kingdom Bradley Department of Electrical and Computer Engineering Virginia Tech BlacksburgVA24060 United States Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing100876 China Department of Electrical Engineering Princeton University PrincetonNJ08544 United States Shenzhen Research Institute of Big Data School of Science and Engineering Chinese University of Hong Kong Shenzhen518172 China

In this paper, the problem of training federated learning (FL) algorithms over a realistic wireless network is studied. In particular, in the considered model, wireless users execute an FL algorithm while training their local FL models using their own data and transmitting the trained local FL models to a base station (BS) that will generate a global FL model and send it back to the users. Since all training parameters are transmitted over wireless links, the quality of the training will be affected by wireless factors such as packet errors and the availability of wireless resources. Meanwhile, due to the limited wireless bandwidth, the BS must select an appropriate subset of users to execute the FL algorithm so as to build a global FL model accurately. This joint learning, wireless resource allocation, and user selection problem is formulated as an optimization problem whose goal is to minimize an FL loss function that captures the performance of the FL algorithm. To address this problem, a closed-form expression for the expected convergence rate of the FL algorithm is first derived to quantify the impact of wireless factors on FL. Then, based on the expected convergence rate of the FL algorithm, the optimal transmit power for each user is derived, under a given user selection and uplink resource block (RB) allocation scheme. Finally, the user selection and uplink RB allocation is optimized so as to minimize the FL loss function. Simulation results show that the proposed joint federated learning and communication framework can reduce the FL loss function value by up to 10% and 16%, respectively, compared to: 1) An optimal user selection algorithm with random resource allocation and 2) a standard FL algorithm with random user selection and resource allocation. Copyright © 2019, The Authors. All rights reserved.

关键词： Learning algorithms

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