LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 7 of total 7

Search options

  1. Article ; Online: Emerging Vanadium-Doped Cobalt Chloride Carbonate Hydroxide for Flexible Electrochromic Micro-Supercapacitor: Charged-State Prediction from RGB Input by ANN Model.

    Pradhan, Lingaraj / Kamila, Swagatika / Padhy, Ganeswara / Das, Debi Prasad / Jena, Bikash Kumar

    Small (Weinheim an der Bergstrasse, Germany)

    2024  , Page(s) e2401238

    Abstract: Multifunctional devices integrated with electrochromic and supercapacitance properties are fascinating because of their extensive usage in modern electronic applications. In this work, vanadium-doped cobalt chloride carbonate hydroxide hydrate ... ...

    Abstract Multifunctional devices integrated with electrochromic and supercapacitance properties are fascinating because of their extensive usage in modern electronic applications. In this work, vanadium-doped cobalt chloride carbonate hydroxide hydrate nanostructures (V-C
    Language English
    Publishing date 2024-04-11
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2168935-0
    ISSN 1613-6829 ; 1613-6810
    ISSN (online) 1613-6829
    ISSN 1613-6810
    DOI 10.1002/smll.202401238
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: Instability and fault analysis of arc plasma using advanced signal processing methods.

    Sethi, Shakti Prasad / Das, Debi Prasad / Behera, Santosh Kumar / Ray, Nigamananda

    The Review of scientific instruments

    2023  Volume 94, Issue 10

    Abstract: This study focuses on the instability and fault analysis of transferred arc plasma, utilizing advanced signal processing methods. Transferred arc plasma systems find significant applications in various industries, including material processing, ... ...

    Abstract This study focuses on the instability and fault analysis of transferred arc plasma, utilizing advanced signal processing methods. Transferred arc plasma systems find significant applications in various industries, including material processing, metallurgy, and waste management. However, the occurrence of instabilities and fault events can severely impact system performance and reliability. To address instabilities in arc plasma, various conditions were experimented. The operating parameters, such as arc voltage, arc current, acoustic, optical, and spectroscopic signals, were simultaneously recorded at a higher sampling rate. The proposed approach employs advanced signal processing methods, such as the Lyapunov exponent, fast-Fourier transform, short-time-Fourier transform, and power spectral density, to analyze the characteristics and instabilities of the transferred arc plasma process. By capturing and analyzing signals from multiple sensors, it becomes possible to identify deviations, irregularities, and fault patterns that arise during plasma operation. The outcomes of this research will have significant implications for the optimization and control of transferred arc plasma processes. By identifying and characterizing instabilities due to fault events at an early stage, system operators can take timely corrective actions, preventing potential damage and improving the overall system efficiency.
    Language English
    Publishing date 2023-10-16
    Publishing country United States
    Document type Journal Article
    ZDB-ID 209865-9
    ISSN 1089-7623 ; 0034-6748
    ISSN (online) 1089-7623
    ISSN 0034-6748
    DOI 10.1063/5.0161187
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article: Co-existing malakoplakia and xanthogranulomatous pyelonephritis of kidney: Two different spectrum of same disease process.

    Das, Debi Prasad / Pal, Dilip Kumar

    Urology annals

    2016  Volume 8, Issue 2, Page(s) 252–254

    Abstract: Xanthogranulomatous pyelonephritis (XGP) and malakoplakia (MKP) are chronic inflammatory condition of kidney characterized by infiltration of inflammatory cells. We are presenting a rare case of concomitant XGP and MKP in the same kidney. This signifies ... ...

    Abstract Xanthogranulomatous pyelonephritis (XGP) and malakoplakia (MKP) are chronic inflammatory condition of kidney characterized by infiltration of inflammatory cells. We are presenting a rare case of concomitant XGP and MKP in the same kidney. This signifies that the two are different spectrums of the same disease process.
    Language English
    Publishing date 2016-03-20
    Publishing country India
    Document type Case Reports
    ISSN 0974-7796
    ISSN 0974-7796
    DOI 10.4103/0974-7796.179242
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article ; Online: Head movement immune active noise control with head mounted moving microphones.

    Behera, Santosh Kumar / Das, Debi Prasad / Subudhi, Bidyadhar

    The Journal of the Acoustical Society of America

    2017  Volume 142, Issue 2, Page(s) 573

    Abstract: The active headrest is an important application of active noise control (ANC) where the occupant gets a quiet zone during use. However, its performance degrades due to head movement, which is an important issue. Unlike conventional active headrest ... ...

    Abstract The active headrest is an important application of active noise control (ANC) where the occupant gets a quiet zone during use. However, its performance degrades due to head movement, which is an important issue. Unlike conventional active headrest algorithm, in the present paper, the two error microphones are attached to a head attachment such as a hat or band so that both error microphones can move along with the head, keeping the relative distance of ears and the microphones intact. The two secondary loudspeakers are kept near to the head, facing the ears. The performance of the active headrest was studied through real-time experimentation considering head movement. The innovation in this paper is that the ANC algorithm uses signals of moving error microphones to tune the controller without re-estimating the secondary path transfer functions. Since, the phase error of secondary path estimates at different head positions remains within ±90°, the secondary paths estimated once, when the head is positioned at the center, can be used for other head positions. This is established through real-time experiments using dSpace 1104 ACE system (dSpace, Germany).
    MeSH term(s) Acoustics/instrumentation ; Algorithms ; Amplifiers, Electronic ; Equipment Design ; Head Movements ; Humans ; Models, Theoretical ; Noise/adverse effects ; Noise/prevention & control ; Signal Processing, Computer-Assisted ; Time Factors ; Transducers
    Language English
    Publishing date 2017-08-31
    Publishing country United States
    Document type Comparative Study ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 219231-7
    ISSN 1520-8524 ; 0001-4966
    ISSN (online) 1520-8524
    ISSN 0001-4966
    DOI 10.1121/1.4996125
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article ; Online: Non-invasive detection of the freezing of gait in Parkinson's disease using spectral and wavelet features.

    Nazarzadeh, Kimia / Arjunan, Sridhar P / Kumar, Dinesh K / Das, Debi Prasad

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

    2017  Volume 2016, Page(s) 876–879

    Abstract: In this study, we have analyzed the accelerometer data recorded during gait analysis of Parkinson disease patients for detecting freezing of gait (FOG) episodes. The proposed method filters the recordings for noise reduction of the leg movement changes ... ...

    Abstract In this study, we have analyzed the accelerometer data recorded during gait analysis of Parkinson disease patients for detecting freezing of gait (FOG) episodes. The proposed method filters the recordings for noise reduction of the leg movement changes and computes the wavelet coefficients to detect FOG events. Publicly available FOG database was used and the technique was evaluated using receiver operating characteristic (ROC) analysis. Results show a higher performance of the wavelet feature in discrimination of the FOG events from the background activity when compared with the existing technique.
    MeSH term(s) Accelerometry/methods ; Aged ; Algorithms ; Databases, Factual ; Female ; Gait/physiology ; Gait Disorders, Neurologic/diagnosis ; Gait Disorders, Neurologic/physiopathology ; Humans ; Leg/physiology ; Male ; Middle Aged ; Motion ; Parkinson Disease/diagnosis ; Parkinson Disease/physiopathology ; ROC Curve
    Language English
    Publishing date 2017-03-08
    Publishing country United States
    Document type Journal Article
    ISSN 2694-0604
    ISSN (online) 2694-0604
    DOI 10.1109/EMBC.2016.7590840
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  6. Article: Understanding perception of active noise control system through multichannel EEG analysis.

    Bagha, Sangeeta / Tripathy, R K / Nanda, Pranati / Preetam, C / Das, Debi Prasad

    Healthcare technology letters

    2018  Volume 5, Issue 3, Page(s) 101–106

    Abstract: In this Letter, a method is proposed to investigate the effect of noise with and without active noise control (ANC) on multichannel electroencephalogram (EEG) signal. The multichannel EEG signal is recorded during different listening conditions such as ... ...

    Abstract In this Letter, a method is proposed to investigate the effect of noise with and without active noise control (ANC) on multichannel electroencephalogram (EEG) signal. The multichannel EEG signal is recorded during different listening conditions such as silent, music, noise, ANC with background noise and ANC with both background noise and music. The multiscale analysis of EEG signal of each channel is performed using the discrete wavelet transform. The multivariate multiscale matrices are formulated based on the sub-band signals of each EEG channel. The singular value decomposition is applied to the multivariate matrices of multichannel EEG at significant scales. The singular value features at significant scales and the extreme learning machine classifier with three different activation functions are used for classification of multichannel EEG signal. The experimental results demonstrate that, for ANC with noise and ANC with noise and music classes, the proposed method has sensitivity values of 75.831% (
    Language English
    Publishing date 2018-05-08
    Publishing country England
    Document type Journal Article
    ZDB-ID 2782924-8
    ISSN 2053-3713
    ISSN 2053-3713
    DOI 10.1049/htl.2017.0016
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article ; Online: A nonlinear active noise control algorithm for virtual microphones controlling chaotic noise.

    Das, Debi Prasad / Moreau, Danielle J / Cazzolato, Ben S

    The Journal of the Acoustical Society of America

    2012  Volume 132, Issue 2, Page(s) 779–788

    Abstract: In active noise control (ANC) systems, virtual microphones provide a means of projecting the zone of quiet away from the physical microphone to a remote location. To date, linear ANC algorithms, such as the filtered-x least mean square (FXLMS) algorithm, ...

    Abstract In active noise control (ANC) systems, virtual microphones provide a means of projecting the zone of quiet away from the physical microphone to a remote location. To date, linear ANC algorithms, such as the filtered-x least mean square (FXLMS) algorithm, have been used with virtual sensing techniques. In this paper, a nonlinear ANC algorithm is developed for a virtual microphone by integrating the remote microphone technique with the filtered-s least mean square (FSLMS) algorithm. The proposed algorithm is evaluated experimentally in the cancellation of chaotic noise in a one-dimensional duct. The secondary paths evaluated experimentally exhibit non-minimum phase response and hence poor performance is obtained with the conventional FXLMS algorithm compared to the proposed FSLMS based algorithm. This is because the latter is capable of predicting the chaotic signal found in many physical processes responsible for noise. In addition, the proposed algorithm is shown to outperform the FXLMS based remote microphone technique under the causality constraint (when the propagation delay of the secondary path is greater than the primary path). A number of experimental results are presented in this paper to compare the performance of the FSLMS algorithm based virtual ANC algorithm with the FXLMS based virtual ANC algorithm.
    MeSH term(s) Acoustics/instrumentation ; Algorithms ; Least-Squares Analysis ; Models, Theoretical ; Noise/prevention & control ; Nonlinear Dynamics ; Signal Processing, Computer-Assisted ; Sound Spectrography ; Transducers ; User-Computer Interface
    Language English
    Publishing date 2012-08
    Publishing country United States
    Document type Comparative Study ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 219231-7
    ISSN 1520-8524 ; 0001-4966
    ISSN (online) 1520-8524
    ISSN 0001-4966
    DOI 10.1121/1.4731227
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top