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  • 1
    Online Resource
    Online Resource
    Analog Phase Samples Approximation from Gain Samples by Discrete Hilbert Transform
    Springer Science and Business Media LLC ; 2022
    In:  Circuits, Systems, and Signal Processing Vol. 41, No. 7 ( 2022-07), p. 4136-4148
    Details
    In: Circuits, Systems, and Signal Processing, Springer Science and Business Media LLC, Vol. 41, No. 7 ( 2022-07), p. 4136-4148
    Type of Medium: Online Resource
    ISSN: 0278-081X , 1531-5878
    URL: Article
    DOI: 10.1007/s00034-022-01965-0
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2085136-4
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  • 2
    Online Resource
    Online Resource
    Acoustic Sensor for Detecting Intruders in Wild Environments
    Walter de Gruyter GmbH ; 2018
    In:  Carpathian Journal of Electronic and Computer Engineering Vol. 11, No. 2 ( 2018-12-01), p. 56-59
    Details
    In: Carpathian Journal of Electronic and Computer Engineering, Walter de Gruyter GmbH, Vol. 11, No. 2 ( 2018-12-01), p. 56-59
    Abstract: The aim of this work is to develop a device capable to record multiple audio signals (in our case 4 audio signals from 4 microphones of the area) and transmit the information through a network for acoustic source localization. We briefly discuss the first two versions, then the HRTF (Head Related Transfer Function) version of the acoustic sensors is detailed. Experimental results for identifying sound sources are also presented.
    Type of Medium: Online Resource
    ISSN: 2343-8908
    URL: Article
    DOI: 10.2478/cjece-2018-0020
    Language: English
    Publisher: Walter de Gruyter GmbH
    Publication Date: 2018
    detail.hit.zdb_id: 2863379-9
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  • 3
    Online Resource
    Online Resource
    A Highly Scalable Method for Extractive Text Summarization Using Convex Optimization
    MDPI AG ; 2021
    In:  Symmetry Vol. 13, No. 10 ( 2021-09-30), p. 1824-
    Details
    In: Symmetry, MDPI AG, Vol. 13, No. 10 ( 2021-09-30), p. 1824-
    Abstract: The paper describes a convex optimization formulation of the extractive text summarization problem and a simple and scalable algorithm to solve it. The optimization program is constructed as a convex relaxation of an intuitive but computationally hard integer programming problem. The objective function is highly symmetric, being invariant under unitary transformations of the text representations. Another key idea is to replace the constraint on the number of sentences in the summary with a convex surrogate. For solving the program we have designed a specific projected gradient descent algorithm and analyzed its performance in terms of execution time and quality of the approximation. Using the datasets DUC 2005 and Cornell Newsroom Summarization Dataset, we have shown empirically that the algorithm can provide competitive results for single document summarization and multi-document query-based summarization. On the Cornell Newsroom Summarization Dataset, it ranked second among the unsupervised methods tested. For the more challenging task of multi-document query-based summarization, the method was tested on the DUC 2005 Dataset. Our algorithm surpassed the other reported methods with respect to the ROUGE-SU4 metric, and it was at less than 0.01 from the top performing algorithms with respect to ROUGE-1 and ROUGE-2 metrics.
    Type of Medium: Online Resource
    ISSN: 2073-8994
    URL: Article
    DOI: 10.3390/sym13101824
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
    detail.hit.zdb_id: 2518382-5
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  • 4
    Online Resource
    Online Resource
    Symbolic Analysis of an Analog Active Filter as Path for Conversion to Digital Filter
    Walter de Gruyter GmbH ; 2018
    In:  Carpathian Journal of Electronic and Computer Engineering Vol. 11, No. 2 ( 2018-12-01), p. 8-12
    Details
    In: Carpathian Journal of Electronic and Computer Engineering, Walter de Gruyter GmbH, Vol. 11, No. 2 ( 2018-12-01), p. 8-12
    Abstract: Recently have been reported methods to deliver a digital filter from an analog active filter, described only by its circuits diagram. The proposed approaches have been implemented in MATLAB and Python, and they were based on state-space conversion from analog to digital domain. Based on the Python approach, we show in this paper how to compute the transfer function of a large order analog active filter. The analog filter is described only by its circuits diagram. Finally, the analog filter is converted to the corresponding digital filter, having similar frequency gain and phase characteristics.
    Type of Medium: Online Resource
    ISSN: 2343-8908
    URL: Article
    DOI: 10.2478/cjece-2018-0011
    Language: English
    Publisher: Walter de Gruyter GmbH
    Publication Date: 2018
    detail.hit.zdb_id: 2863379-9
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  • 5
    Online Resource
    Online Resource
    An algorithm for training a class of polynomial models
    Elsevier BV ; 2023
    In:  Digital Signal Processing Vol. 141 ( 2023-09), p. 104168-
    Details
    In: Digital Signal Processing, Elsevier BV, Vol. 141 ( 2023-09), p. 104168-
    Type of Medium: Online Resource
    ISSN: 1051-2004
    URL: Article
    DOI: 10.1016/j.dsp.2023.104168
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 1463243-3
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  • 6
    Online Resource
    Online Resource
    State-space approach for symbolic analysis of an analog passive filter and its conversion to digital filter
    Academia de Stiinte Tehnice in Romania ; 2022
    In:  Journal of Engineering Sciences and Innovation Vol. 7, No. 1 ( 2022-03-05), p. 87-96
    Details
    In: Journal of Engineering Sciences and Innovation, Academia de Stiinte Tehnice in Romania, Vol. 7, No. 1 ( 2022-03-05), p. 87-96
    Abstract: The conversion of an analog filter described by a wiring diagram into another digital filter, having the same frequency characteristics was recently solved by a Python implementation. In this paper we will use this application for symbolic analysis of a passive filter having multiple components. Its conversion to digital filter is also described. Through experimental results we prove that the magnitude and phase characteristics are similar for the active analog filter and for the corresponding digital filter.
    Type of Medium: Online Resource
    ISSN: 2601-6699 , 2537-320X
    URL: Issue
    URL: Journal
    URL: Article
    DOI: 10.56958/jesi.2022.7.1
    DOI: 10.56958/jesi
    DOI: 10.56958/jesi.2022.7.1.87
    Language: Unknown
    Publisher: Academia de Stiinte Tehnice in Romania
    Publication Date: 2022
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  • 7
    Online Resource
    Online Resource
    A Novel Wearable Foot and Ankle Monitoring System for the Assessment of Gait Biomechanics
    MDPI AG ; 2020
    In:  Applied Sciences Vol. 11, No. 1 ( 2020-12-29), p. 268-
    Details
    In: Applied Sciences, MDPI AG, Vol. 11, No. 1 ( 2020-12-29), p. 268-
    Abstract: Walking is the most basic form of human activity for achieving mobility. As an essential function of the human body, the examination of walking is directed towards the assessment of body mechanics in posture and during movement. This work proposes a wearable smart system for the monitoring and objective evaluation of foot biomechanics during gait. The proposed solution assumes the cross-correlation of the plantar pressure with lower-limb muscular activity, throughout the stance phase of walking. Plantar pressure is acquired with an array of resistive pressure sensors deployed onto a shoe insole along the center of gravity progression line. Lower-limb muscular activity is determined from the electromyogram of the tibialis anterior and gastrocnemius lower limb muscles respectively. Under this scenario, physiological gait assumes the interdependency of plantar pressure on the heel area with activation of the tibialis anterior, as well as plantar pressure on the metatarsal arch/toe area with activation of the gastrocnemius. As such, assessment of gait physiology is performed by comparison of a gait map, formulated based on the footprint–lower-limb muscle cross-correlation results, to a reference gait template. A laboratory proof of concept validates the proposed solution in a test scenario which assumes a normal walking and two pathological walking patterns.
    Type of Medium: Online Resource
    ISSN: 2076-3417
    URL: Article
    DOI: 10.3390/app11010268
    Language: English
    Publisher: MDPI AG
    Publication Date: 2020
    detail.hit.zdb_id: 2704225-X
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  • 8
    Online Resource
    Online Resource
    Audio Database for TIAGo Service Robot
    Walter de Gruyter GmbH ; 2021
    In:  Carpathian Journal of Electronic and Computer Engineering Vol. 14, No. 1 ( 2021-09-01), p. 1-5
    Details
    In: Carpathian Journal of Electronic and Computer Engineering, Walter de Gruyter GmbH, Vol. 14, No. 1 ( 2021-09-01), p. 1-5
    Abstract: In this paper we present an updated version of the audio database acquired by the TIAGo service robot and by the simulated TIAGo service robot. To the initial database which consists in 1380 audio signals we have added 1920 more acoustic signals. The audio database consists now in 3300 isolated audio events corresponding to 110 classes. All the recorded sound events correspond to the indoor environment, and they are spread into five different scenarios: kitchen, room, appliances, voice and non-verbal. The audio database is intended to be used in order to identify indoor events based on audio signature, especially when elderly or chronically ill people live alone.
    Type of Medium: Online Resource
    ISSN: 2343-8908
    URL: Article
    DOI: 10.2478/cjece-2021-0001
    Language: English
    Publisher: Walter de Gruyter GmbH
    Publication Date: 2021
    detail.hit.zdb_id: 2863379-9
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  • 9
    Online Resource
    Online Resource
    Security System Aided by Voice Fingerprint
    Walter de Gruyter GmbH ; 2021
    In:  Carpathian Journal of Electronic and Computer Engineering Vol. 14, No. 1 ( 2021-09-01), p. 24-29
    Details
    In: Carpathian Journal of Electronic and Computer Engineering, Walter de Gruyter GmbH, Vol. 14, No. 1 ( 2021-09-01), p. 24-29
    Abstract: The goal of this paper is to create a security system to identify a specific person who wants to access private information or enter a building using their voice. To perform this system, we identified a database containing the audio files of the users who will be able to authenticate with this system. Several steps were sequentially performed in order to extract the characteristics of the Mel Frequency Cepstral Coefficients from the audio files. Based on the k-Nearest Neighbor algorithm with an Euclidean distance and 4 neighbors, a training model was created. Through experimental results we prove in two ways, using confusion matrix and scatter plot, that the overall voice fingerprint recognition is 100%, for this particular configuration.
    Type of Medium: Online Resource
    ISSN: 2343-8908
    URL: Article
    DOI: 10.2478/cjece-2021-0005
    Language: English
    Publisher: Walter de Gruyter GmbH
    Publication Date: 2021
    detail.hit.zdb_id: 2863379-9
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