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Design, construction, and analysis of ukuleles as a method for teaching on the acoustic properties of stringed instruments

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The Journal of the Acoustical Society of America 2020年第4_SUPPLEMENT期148卷 2565-2565页

作者： Nicholas Gangemi Nicholas Dutz Amelia Vignola Sarthak Regmi Diego Turo Joseph Vignola Physical Acoust. U.S. Naval Res. Lab. 4555 Overlook Ave SW Washington DC 20375 nicholas.gangemi@nrl.navy.mil Elec. Eng. The Catholic Univ. of America Washington DC Acoust. Signal Processing and Systems U.S. Naval Res. Lab. Washington DC Mech. Eng. The Catholic Univ. of America Washington DC

This presentation will discuss an undergraduate course taught at Catholic University where the primary learning objective was for the students to understand how the design characteristics of a stringed instrument effects its acoustic properties. Previous student-led design projects have researched the acoustic properties of stringed instruments, notably guitars and five-string banjos, but no formal course has ever been offered on the subject. Further, all previous investigations utilized commercially availab.e instruments as the test subjects, and thus, were limited in the design characteristics availab.e to test. The course combined hands-on education about the construction of ukuleles, with subsequent measurement and analysis of the acoustic properties. Ukuleles were chosen as the test subject due to their simplicity compared to other stringed instruments, which allowed students with various levels of shop experience to participate in relevant aspects of lutherie. The ukuleles featured both conventional and non-conventional design characteristics, and were constructed with both traditional and non-traditional methods. Upon completion of the course, the students constructed nine different ukuleles, collected a large set of acoustic data, and completed preliminary analyses of the various instruments. Interest in the subject has persisted beyond the course, and several research projects on the subject have resulted.

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Feature combination based on Belief Function Theory for online signature verification

Feature combination based on Belief Function Theory for onli...

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Conferencia Latinoamericana En Informatica (CLEI)

作者： Marianela Parodi Juan C. Gómez Lab. for System Dynamics & Signal Processing Universidad Nacional de Rosario & CIFASIS Rosario Argentina

ISBN: (纸本)9781509016341

One of the most challenging problems in online signature verification is to select the best features to model the signatures. A widely used technique to address this problem is to combine different feature sets selected by different criteria. In this paper, the combination of three different feature sets, viz., an automatically selected feature set, a feature set relevant to Forensic Handwriting Experts (FHEs), and a global feature set, on the basis of a score level fusion scheme, is proposed. In order to address the problem of conflicting results appearing when several classifiers are being used, the proposed combination is performed within the framework of the Belief Function Theory (BFT). Two different models, namely, the Denoeux and the Appriou models, are used to embed the problem within this framework, where the fusion is performed resorting to two well-known combination rules, namely, the Dempster-Shafer (DS) and the Proportional Conflict Redistribution (PCR5) one. Experimental results on a publicly availab.e database, prove that the proposed fusion scheme allows the system to have a very good trade-off between verification results and reliability.

关键词： Decision support systems Radio frequency

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Proceedings of workshop AEW10: Concepts in information theory and communications

arXiv

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arXiv 2017年

作者： Kamabe, Hiroshi Manada, Akiko Muramatsu, Jun Miyake, Shigeki Morita, Hiroyoshi Chen, Yanling Han Vinck, A.J. Sakai, Yuta Iwata, Ken-Ichi Tamm, Ulrich De With, Peter H.N. Van Der Sommen, Fons Langenhuizen, Patrick Van Der Putten, Joost Harutyunyan, Ashot N. Poghosyan, Arnak V. Grigoryan, Naira M. Chaabane, Ferdaous Imanishi, Masayuki Wadayama, Tadashi Wübben, Dirk Kurkoski, Brian M. Lewandowsky, Jan Yamamoto, Hirosuke Gassara, Hela Rouissi, Fatma Ghazel, Adel Grati, Khaled Gharbi, Hamed Kuzuoka, Shigeaki Baggen, Stan Iwamoto, Mitsugu Gifu University Japan Graduate School of Informatics and Engineering University of Electro-Communications 1-5-1 Chofugaoka Chofu Tokyo182-8585 Japan NTT Communication Science Laboratories NTT Corporation NTT Network Innovation Laboratories NTT Corporation University of Electro-Communications Chofu Tokyo182-8585 Japan Institute of Digital Signal Processing University of Duisburg-Essen Germany University of Fukui Japan University of Applied Sciences Interaktion 1 Bielefeld33619 Germany Eindhoven University of Technology PO Box 513 Eindhoven5600 MB Netherlands 48 Mamikonyants str. Yerevan0051 Armenia GRESCOM Lab. Ecole Supérieure des Communications de Tunis University of Carthage SUP'COM Cité technologique des communications 2088 El Ghazala Ariana Tunisia Nagoya Institute of Technology Japan Department of Communications Engineering University of Bremen Bremen28359 Germany Japan Advanced Institute of Science and Technology Nomi Japan Hamburg University of Technology Institute of Communications Hamburg21073 Germany Dept. of Complexity Science and Engineering University of Tokyo Kashiwa-shi Chiba277-8561 Japan EBSYS Wevioo Group Technopôle Elgazala El Ghazala Ariana2088 Tunisia Faculty of Systems Engineering Wakayama University Sakaedani 930 Wakayama-shi Wakayama640-8510 Japan Philips Lighting Research High Tech Campus 7 Eindhoven5656 AE Netherlands University of Electro-Communications Japan

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Dendritic spine shape classification from two-photon microscopy images

Dendritic spine shape classification from two-photon microsc...

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IEEE signal processing and Communications Applications (SIU)

作者： Muhammad Usman Ghani Sümeyra Demir Kanık Ali Özgür Argunşah Tolga Taşdizen Devrim Ünay Müjdat Çetin Signal Processing and Information Systems Lab. Sabanci University Istanbul Turkey Champalimaud Neuroscience Programme Champalimaud Centre for the Unknown Lisbon Portugal Electrical and Computer Engineering Department University of Utah USA Department of Biomedical Engineering Bahcesehir University Istanbul Turkey

Functional properties of a neuron are coupled with its morphology, particularly the morphology of dendritic spines. Spine volume has been used as the primary morphological parameter in order the characterize the structure and function coupling. However, this reductionist approach neglects the rich shape repertoire of dendritic spines. First step to incorporate spine shape information into functional coupling is classifying main spine shapes that were proposed in the literature. Due to the lack of reliable and fully automatic tools to analyze the morphology of the spines, such analysis is often performed manually, which is a lab.rious and time intensive task and prone to subjectivity. In this paper we present an automated approach to extract features using basic image processing techniques, and classify spines into mushroom or stubby by applying machine learning algorithms. Out of 50 manually segmented mushroom and stubby spines, Support Vector Machine was able to classify 98% of the spines correctly.

关键词： Head Neck Shape Morphology Magnetic heads Neurons Manuals

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Online signature verification: Improving performance through pre-classification based on global features

Online signature verification: Improving performance through...

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17th International Conference on Image Analysis and processing, ICIAP 2013

作者： Parodi, Marianela Gómez, Juan Carlos Lab. for System Dynamics and Signal Processing FCEIA Universidad Nacional de Rosario Argentina

ISBN: (纸本)9783642411892

In this paper, a pre-classification stage based on global features is incorporated to an online signature verification system for the purposes of improving its performance. The pre-classifier makes use of the discriminative power of some global features to discard (by declaring them as forgeries) those signatures for which the associated global feature is far away from its respective mean. For the remaining signatures, features based on a wavelet approximation of the time functions associated with the signing process, are extracted, and a Random Forest based classification is performed. The experimental results show that the proposed pre-classification approach, when based on the apppropriate global feature, is capable of getting error rate improvements with respect to the case where no pre-classification is performed. The approach also has the advantages of simplifying and speeding up the verification process. © 2013 Springer-Verlag.

关键词： Classification (of information)

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RoomSense: An indoor positioning system for smartphones using active sound probing 13

RoomSense: An indoor positioning system for smartphones usin...

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4th Augmented Human International Conference, AH 2013

作者： Rossi, Mirco Seiter, Julia Amft, Oliver Buchmeier, Seraina Tröster, Gerhard Wearable Computing Lab. ETH Zurich Switzerland Signal Processing Systems ACTLab TU Eindhoven Netherlands

ISBN: (纸本)9781450319041

We present RoomSense, a new method for indoor positioning using smartphones on two resolution levels: rooms and within-rooms positions. Our technique is based on active sound fingerprinting and needs no infrastructure. Rooms and within-rooms positions are characterized by impulse response measurements. Using acoustic features of the impulse response and pattern classification, an estimation of the position is performed. An evaluation study was conducted to analyse the localization performance of RoomSense. Impulse responses of 67 within-rooms positions from 20 rooms were recorded with the hardware of a smartphone. In total 5360 impulse response measurements were collected. Our evaluation study showed that RoomSense achieves a room-level accuracy of > 98% and a within-rooms positions accuracy of > 96%. Additionally, the implementation of RoomSense as an Android App is presented in detail. The RoomSense App enables to identify an indoor location within one second. Copyright 2013 ACM.

关键词： Smartphones

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Evaluating daily life activity using smartphones as novel outcome measure for surgical pain therapy 13

Evaluating daily life activity using smartphones as novel ou...

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8th International Conference on Body Area Networks, BODYNETS 2013

作者： Seiter, Julia Feese, Sebastian Arnrich, Bert Tröster, Gerhard Amft, Oliver Macrea, Lucian Maurer, Konrad Wearable Computing Lab. ETH Zurich Switzerland ACTLab Signal Processing Systems TU Eindhoven Netherlands Pain Research Unit Institute of Anesthesiology University Hospital Zurich Switzerland

ISBN: (纸本)9781936968893

In this paper we investigate the potential of a smartphone to measure patients' changes in physical activity before and after a surgical pain relief intervention. Providing an objective intervention outcome measure to clinicians could enhance subjective assessments from patient questionnaires and contribute to optimal patient treatment. Thus, we show a proof of concept for our smartphone system providing physical activity from acceleration, barometer and location data to infer meaningful activity features that measure the intervention's outcome. In a case study, we monitored two patients carrying the smartphone 9 days before and another 9 days after a surgical intervention. Results indicate significant activity changes after intervention while the pain level decreased. Particularly physical activity in the home environment increased significantly for both patients where an averaged 98% increase in walking and a more than 150% gain in fast cadence was measured. Questionnaire assessed activity levels showed no meaningful correlations to activity measurements and turned out to be highly subjective. Copyright © 2013 ICST.

关键词： Smartphones

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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MyConverse in action: monitoring conversations using smartphones

MyConverse in action: monitoring conversations using smartph...

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Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication

作者： Mirco Rossi Oliver Amft Sebastian Feese Christian Käslin Gerhard Tröster Wearable Computing Lab. ETH Zurich Zurich Switzerland ACTLab Signal Processing Systems TU Eindhoven Eindhoven Netherlands Wearable Computing Lab. ETH Zurich Zurich Suriname

ISBN: (纸本)9781450322157

This demo presents MyConverse, a personal conversation recogniser and visualiser for Android smartphones. It uses the smartphone's microphone to continuously recognise the user's conversations during his daily life autonomously on the smartphones. MyConverse identifies known speakers in conversations. Unknown speakers are detected and trained for further identification.

关键词： real-time smartphone sensing speaker identification

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Does loose fitting matter? Predicting sensor performance in smart garments 7

Does loose fitting matter? Predicting sensor performance in ...

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7th International Conference on Body Area Networks, BODYNETS 2012

作者： Harms, Holger Amft, Oliver Tröster, Gerhard Wearable Computing Lab. Electronics Laboratory ETH Zurich Switzerland ACTLab Signal Processing Systems TU Einhoven Netherlands

ISBN: (纸本)9781936968602

Smart sensing garments can extend the functionality of clothing beyond aesthetic and protective purposes. In contrast to skin-mounted sensors, garment-embedded sensor performance depends on fitting. In this work, we present a modeling and simulation approach to predict sensor performance in garments. We implemented a state-of-the-art particlebased model of fabrics to simulate the topology and drape of the garment. Based on the simulation, we introduce a method to extract and visualize maps for garment-embedded sensor performance metrics. We present performance maps for three basic modalities pertained to orientation, skin contact, and strain. Design parameters as garment fitting and material, and body proportion are analyzed regarding position specific sensor performance. To evaluate our model, we compared simulations to participant study data, confirming that our approach is suitable to plan sensor positioning and garment design before implementing garment prototypes. Copyright © 2012 ICST.

关键词： Topology

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