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Vibration-based classification of road damages: gyroscope data and a simple neural network model

IOP Conference Series: Earth and Environmental Science 2018年第1期195卷

作者： Fergyanto E. Gunawan Herriyandi Benfano Soewito Tuga Mauritsius Nico Surantha Industrial Engineering Department BINUS Graduate Program - Master of Industrial Engineering Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480

A system for automatic detection of road damages is essential for logistics management. At the core of the system lies an algorithm for classification of damages. This work intends to establish such an algorithm. In the current proposal, the algorithm receives data of the probe vehicle rate of rotations, extracts statistics descriptive from the data to produce a feature vector, and finally, feeds the vector to a simple-three-layer neural network to classify the damages. The types of damages are limited to four cases: normal, pothole, speed bump, and expansion joint. For the development, a probe vehicle is used to produce 400 empirical data involving those four damage cases. By using Monte Carlo approach, the established neural network model is evaluated. The results show that the approach is able to classify the cases with 85% accuracy. The study also finds that the rates of pitch and roll to be the determining factors.

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Erratum to 'Relation Between Mitral Valve Prolapse and Erectile Dysfunction (from a Nationwide Case-Control Study)': The American Journal of Cardiology 2019 Nov 15;124(10):1590-1593./ doi: 10.1016/***.2019.08.010

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The American journal of cardiology 2021年 142卷 161页

作者： Shiu-Dong Chung Ju-Chi Liu Tsai-Ning Lou Ben-Chang Shia Herng-Ching Lin Li-Ting Kao Division of Urology Department of Surgery Far Eastern Memorial Hospital Taipei Taiwan Department of Computer Science and Engineering and Graduate Program in Biomedical Informatics College of Informatics Yuan-Ze University Chung-Li Taiwan Sleep Research Center Taipei Medical University Hospital Taipei Taiwan. Department of Internal Medicine School of Medicine College of Medicine Taipei Medical University Taipei Taiwan Division of Cardiovascular Medicine Department of Medicine Medical University Hospital-Shuang Ho Hospital TaipeiTaiwan. School of Health Care Administration Taipei Medical University Taipei Taiwan. Big Data Research Center Taipei Medical University Taipei Taiwan. Sleep Research Center Taipei Medical University Hospital Taipei Taiwan School of Health Care Administration Taipei Medical University Taipei Taiwan Graduate Institute of Life Sciences National Defense Medical Center Taipei Taiwan Department of Pharmacy Practice Tri-Service General Hospital Taipei Taiwan School of Pharmacy National Defense Medical Center Taipei Taiwan.. Electronic address: kaoliting@***.

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Restricted Boltzmann machine to determine the input weights for extreme learning machines

arXiv

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arXiv 2017年

作者： Pacheco, Andre G.C. Krohling, Renato A. da Silva, Carlos A.S. Graduate Program in Computer Science PPGI Federal University of Espírito Santo - UFES Vitória ES Brazil Production Engineering Department Graduate Program in Computer Science PPGI Federal University of Espírito Santo - UFES Vitória ES Brazil

The Extreme Learning Machine (ELM) is a single-hidden layer feedforward neural network (SLFN) learning algorithm that can learn effectively and quickly. The ELM training phase assigns the input weights and bias randomly and do not change them in the whole process. Although the network works well, the random weights in the input layer can make the algorithm less effective and impact on its performance. Therefore, we propose a new approach to determine the input weights and bias for the ELM using the restricted Boltzmann machine (RBM), which we call RBM-ELM. We compare our new approach with a well-known approach to improve the ELM and a state of the art algorithm to select the weights for the ELM. The results show that the RBM-ELM outperforms both methodologies and achieve a better performance than the ELM. Copyright © 2017, The Authors. All rights reserved.

关键词： Knowledge acquisition

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Application of Interpolation Image by using Bi-Cubic Algorithm

Application of Interpolation Image by using Bi-Cubic Algorit...

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2018 Workshop on Multidisciplinary and Its Applications: Applied Mathematics, computer Science, Information Systems, and Information Technology, WMA-Mathcomtech 2018

作者： Abdullah, Dahlan Fajriana, F. Maryana, M. Rosnita, Lidya Utama Siahaan, Andysah Putera Rahim, Robbi Harliana, P. Harmayani, H. Ginting, Zainuddin Erliana, Cut Ita Irwansyah, Defi Zulmiardi, Z. Khaddafi, Muammar Milanie, Feby Aspan, Henry Huda, Ismul Saddhono, Kundharu Mulyaningsih, Indrya Moonti, Roy Marthen Parwito, P. Djanggih, Hardianto Amalia, Ainna Winarno, Edy Hadikurniawati, Wiwien Department of Informatics Universitas Malikussaleh Aceh Indonesia School of Computer and Communication Engineering Universiti Malaysia Perlis Malaysia Department of Informatics Engineering Sekolah Tinggi Teknik Harapan Medan Indonesia Department of Informatics AMIK Intel Com Global Indo Indonesia Department of Chemical Engineering Universitas Malikussaleh Aceh Indonesia Department of Industrial Engineering Universitas Malikussaleh Aceh Indonesia Department of Mechanical Engineering Universitas Malikussaleh Aceh Indonesia Department of Accounting Universitas Malikussaleh Aceh Indonesia Universitas Pembangunan Panca Budi Medan Indonesia Universitas Syiah Kuala Aceh Indonesia Graduate Program Universitas Sebelas Maret Surakarta Indonesia Indonesian Language Teaching Department Institut Agama Islam Negeri Syekh Nurjati Cirebon Indonesia Department of Law Universitas Gorontalo Gorontalo Indonesia Department of Agrotechnology Universitas Ratu Samban Bengkulu Indonesia Department of Law Universitas Tompotika Luwuk Banggai Luwuk Indonesia Islamic Institut of Miftahul Ula Kertosono Nganjuk-East-Java Indonesia Faculty of Information Technology Universitas Stikubank Semarang Indonesia

Image magnification is one of the branches in digital image processing that is often required in various applications such as in the field of medicine, multimedia, and in satellite imagery. As technology grows, more and more methods are used for image enlargement. In this study, the image enlargement process performs by using Bi-Cubic spline interpolation method, and the result of image try to compare between the original one and picture after enlargement. © Published under licence by IOP Publishing Ltd.

关键词： Satellite imagery

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Autonomous Exploration Guided by Optimisation Metaheuristic

Autonomous Exploration Guided by Optimisation Metaheuristic

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International Conference on Control, Automation, Robotics and Vision

作者： Raphael Gomes Santos Edison Pignaton de Freitas Sen Cheng Paulo Rogerio de Almeida Ribeiro Alexandre Cesar Muniz de Oliveira Federal University of Maranhão São Luís MA Brazil Graduate Program on Computer Science Federal University of Rio Grande do Sul Porto Alegre Brazil Computational Neuroscience Ruhr University Bochum Bochum Germany Department of Computer Engineering Federal University of Maranhão São Luís Maranhão Department of Informatics Federal University of Maranhão São Luís Maranhão

Autonomous exploration aims to develop mechanisms that enable a robot to navigate through an unknown environment, seeking to collect information that is relevant to its objective, with minimal or no human intervention. This article presents an autonomous exploration strategy based on a multimodal continuous utility function and optimization metaheuristic. The problem of autonomous exploration of mobile robots is formulated as an optimization problem, providing data for a Firefly-based algorithm that is able to search for points in the solution space, representing cells on the map being constructed, that best meet the exploration objectives. Simulations in a Robot Operating System environment showed that the proposed approach is able to guide robot through good trajectories, leading to full mapping, without any human intervention.

关键词： Linear programming Optimization Heuristic algorithms Robot kinematics Navigation Mobile robots

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A high-order log barrier-based mesh generation and warping method

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Procedia engineering 2017年 203卷 180-192页

作者： Mike Stees Suzanne M. Shontz Department of Electrical Engineering and Computer Science Information and Telecommunication Technology Center The University of Kansas Lawrence KS 66045 USA Department of Electrical Engineering and Computer Science Bioengineering Graduate Program Information and Telecommunication Technology Center The University of Kansas Lawrence KS 66045 USA

The ability to generate high-order meshes that conform to the boundary of curved geometries is a hurdle in the adoption of high-order computational methods for the numerical solution of partial differential equations. In this paper, we propose a method for generating and warping second-order Lagrange triangular and tetrahedral meshes based on a log barrier method. In the case of generation, the approach consists of modifying an initial linear mesh by first, adding nodes at the midpoint of each edge; second, displacing the newly added boundary midpoints to the curved boundary, and third, solving for the final positions of the interior nodes based on the boundary deformation. By allowing all of the boundary nodes to move, the approach can also be used to warp second-order triangular and tetrahedral meshes. We present several numerical examples in both two and three dimensions which demonstrate the capabilities of our method in generating and warping second-order curvilinear meshes.

关键词： high-order mesh generation curvilinear high-order mesh high-order mesh warping numerical optimization

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Nonreciprocal cavities and the time-bandwidth limit

arXiv

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arXiv 2018年

作者： Mann, Sander A. Sounas, Dimitrios L. Alù, Andrea Department of Electrical and Computer Engineering University of Texas at Austin AustinTX United States Photonics Initiative Advanced Science Research Center City University of New York New York10031 United States Physics Program Graduate Center City University of New York New York10016 United States Department of Electrical Engineering City College of the City University of New York New York10031 United States

The time-bandwidth limit inherently relates the lifetime of a resonance and its spectral bandwidth, with direct implications on the maximum storage time of a pulse versus its frequency content. It has been recently argued that nonreciprocal cavities may overcome this constraint, by breaking the strict equality of their incoupling and outcoupling coefficients. Here, we generally study the implications of nonreciprocity on resonant cavities and derive general relations, stemming from microscopic reversibility, that govern their dynamics. We show that nonreciprocal cavities do not provide specific advantages in terms of the time-bandwidth limit, but they may have other attractive properties for nanophotonic systems. Copyright © 2018, The Authors. All rights reserved.

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A task-oriented and parameterized (semi) autonomous navigation framework for the development of simulation systems

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Procedia computer Science 2017年 112卷 534-543页

作者： Juliana R. Brondani Edison P. de Freitas Luis A.L. Silva Graduate Program in Electrical Engineering Federal University of Rio Grande do Sul Av. Paulo Gama 110 Porto Alegre 90040-060 Brazil Graduate Program in Computer Science Federal University of Santa Maria“ Av. Roraima 1000 Santa Maria 97105-900 Brazil

Agent behaviors in simulation systems are related to fundamental capabilities of realistically developing (semi) autonomous navigation actions. This is particularly important when dealing with the implementation of computer Generated Forces (CGFs) for simulation systems in tactical military training applications. Moreover, these systems take into consideration the particularities of the domain-specific simulation tasks and the numerous heterogeneous CGFs inserted on them in order to generate better knowledge and learning experience to simulation system users. Based on these reasons, this paper reviews recurrent navigation problems as to propose a task-oriented and parameterized (semi) autonomous navigation framework to deal with CGF navigation needs in military simulation. Combining global and local navigation techniques, and controlled transition between alternative degrees of navigation autonomy, the framework aims to overcome the challenges of implementing customizable CGF navigation behaviors and, at the same time, to allow interaction with both users and other simulation systems in distributed simulation settings. A case study is presented in which the proposed techniques are analyzed in a domain-specific simulation problem providing evidence of their suitability to address the studied military simulation problems.

关键词： Navigation problems task-oriented navigation semi-autonomous algorithms simulation systems

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A syndromic neurodevelopmental disorder caused by rare variants in PPFIA3 (vol 111, pg 96, 2024)

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AMERICAN JOURNAL OF HUMAN GENETICS 2024年第4期11卷 805-805页

作者： Paul, Maimuna S. Michener, Sydney L. Pan, Hongling Chan, Hiuling Pfliger, Jessica M. Rosenfeld, Jill A. Lerma, Vanesa C. Tran, Alyssa Longley, Megan A. Lewis, Richard A. Weisz-Hubshman, Monika Bekheirnia, Mir Reza Bekheirnia, Nasim Massingham, Lauren Zech, Michael Wagner, Matias Engels, Hartmut Cremer, Kirsten Mangold, Elisabeth Peters, Sophia Trautmann, Jessica Perne, Claudia Mester, Jessica L. Sacoto, Maria J. Guillen Person, Richard McDonnell, Pamela P. Cohen, Stacey R. Lusk, Laina Cohen, Ana S. A. Le Pichon, Jean-Baptiste Pastinen, Tomi Zhou, Dihong Engleman, Kendra Racine, Caroline Faivre, Laurence Moutton, Sebastien Denomme-Pichon, Anne-Sophie Koh, Hyun Yong Poduri, Annapurna Bolton, Jeffrey Knopp, Cordula Suh, Dong Sun Julia Maier, Andrea Toosi, Mehran Beiraghi Karimiani, Ehsan Ghayoor Maroofian, Reza Schaefer, Gerald Bradley Ramakumaran, Vijayalakshmi Vasudevan, Pradeep Banos-Pinero, Benito Pagnamenta, Alistair T. Prasad, Chitra Osmond, Matthew Schuhmann, Sarah Vasileiou, Georgia Russ-Hall, Sophie Scheffer, Ingrid E. Carvill, Gemma L. Mefford, Heather Bacino, Carlos A. Lee, Brendan H. Chao, Hsiao-Tuan Department of Pediatrics Section of Neurology and Developmental Neuroscience Baylor College of Medicine Houston TX USA Jan and Dan Duncan Neurological Research Institute Texas Children’s Hospital Houston TX USA Cain Pediatric Neurology Research Foundation Laboratories Jan and Dan Duncan Neurological Research Institute Houston TX USA Department of Molecular and Human Genetics Baylor College of Medicine Houston TX USA Augustana College Rock Island IL USA Summer Undergraduate Research Training (SMART) Program Baylor College of Medicine Houston TX USA Graduate Program in Electrical and Computer Engineering Rice University Houston TX USA Department of Psychology University of Houston Houston TX USA Department of Ophthalmology Baylor College of Medicine Houston TX USA Renal Genetics Clinic Baylor College of Medicine Houston TX USA Rhode Island Hospital and Hasbro Children’s Hospital Providence RI USA Institute of Neurogenomics Helmholtz Zentrum München Munich Germany Institute of Human Genetics School of Medicine Technical University Munich Germany Institute for Advanced Study Technical University of Munich Garching Germany Division of Pediatric Neurology Developmental Neurology and Social Pediatrics Dr. von Hauner Children’s Hospital Munich Germany Institute of Human Genetics School of Medicine University Hospital Bonn University of Bonn Bonn Germany GeneDx Gaithersburg MD USA Epilepsy NeuroGenetics Initiative (ENGIN) Division of Neurology Children’s Hospital of Philadelphia Philadelphia PA USA Department of Neurology Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Children’s Mercy Kansas City Genomic Medicine Center The University of Missouri-Kansas City (UMKC) School of Medicine Kansas City MO USA Department of Pediatrics Children’s Mercy Kansas City Kansas City MO USA Children’s Mercy Research Institute Kansas City MO USA Children’s Mercy Hospital Kansas City MO USA University Hospital Dijon Franc

PPFIA3 encodes the protein-tyrosine phosphatase, receptor-type, F-polypeptide-interacting-protein-alpha-3 (PPFIA3), which is a member of the LAR-protein-tyrosine phosphatase-interacting-protein (liprin) family involved in synapse formation and function, synaptic vesicle transport, and presynaptic active zone assembly. The protein structure and function are evolutionarily well conserved, but human diseases related to PPFIA3 dysfunction are not yet reported in OMIM. Here, we report 20 individuals with rare PPFIA3 variants (19 heterozygous and 1 compound heterozygous) presenting with developmental delay, intellectual disability, hypotonia, dysmorphisms, microcephaly or macrocephaly, autistic features, and epilepsy with reduced penetrance. Seventeen unique PPFIA3 variants were detected in 18 families. To determine the pathogenicity of PPFIA3 variants in vivo, we generated transgenic fruit flies producing either human wild-type (WT) PPFIA3 or five missense variants using GAL4-UAS targeted gene expression systems. In the fly overexpression assays, we found that the PPFIA3 variants in the region encoding the N-terminal coiled-coil domain exhibited stronger phenotypes compared to those affecting the C-terminal region. In the loss-of-function fly assay, we show that the homozygous loss of fly Liprin-α leads to embryonic lethality. This lethality is partially rescued by the expression of human PPFIA3 WT, suggesting human PPFIA3 function is partially conserved in the fly. However, two of the tested variants failed to rescue the lethality at the larval stage and one variant failed to rescue lethality at the adult stage. Altogether, the human and fruit fly data reveal that the rare PPFIA3 variants are dominant-negative loss-of-function alleles that perturb multiple developmental processes and synapse formation.

关键词： neurodevelopmental disorder synaptic protein active zone protein Mendelian phenotypes fruit flies

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Fast saliency detection using sparse random color samples and joint upsampling 29

Fast saliency detection using sparse random color samples an...

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29th SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2016

作者： Lie, Maiko Min Ian Borba, Gustavo Benvenutti Neto, Hugo Vieira Gamba, Humberto Remigio Graduate Program in Electrical and Computer Engineering Federal University of Technology - Paraná Curitiba Brazil Graduate Program in Biomedical Engineering Federal University of Technology - Paraná Curitiba Brazil

ISBN: (纸本)9781509035687

The human visual system employs a mechanism of visual attention, which selects only part of the incoming information for further processing. Through this mechanism, the brain avoids overloading its limited cognitive capacities. In computer vision, this task is usually accomplished through saliency detection, which outputs the regions of an image that are distinctive with respect to its surroundings. This ability is desirable in many technological applications, such as image compression, video quality assessment and content-based image retrieval. In this paper, a saliency detection method based on color distance with sparse random samples and joint upsampling is presented. This approach computes full-resolution saliency maps with short runtime by leveraging both edge-preserving smoothing and joint upsampling capabilities of the Fast Global Smoother. The proposed method is assessed through precision-recall curves, F-measure and average runtime on the MSRA1K dataset. Results show that the method is competitive with state-of-the-art algorithms in both saliency detection accuracy and runtime. © 2016 IEEE.

关键词： Image compression

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