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    Wyświetlanie 1-9 z 9
    Tytuł:
    Analysis of Selective-Decode and Forward Relaying Protocol over κ-µ Fading Channel Distribution
    Autorzy:
    Shankar, Ravi
    Bhardwaj, Lokesh
    Mishra, Ritesh Kumar
    Powiązania:
    https://bibliotekanauki.pl/articles/309566.pdf
    Data publikacji:
    2020
    Wydawca:
    Instytut Łączności - Państwowy Instytut Badawczy
    Tematy:
    channel fading
    channel state information
    relaying protocol
    selective decode and forward
    symbol error rate
    Opis:
    In this work, the performance of selective-decode and forward (S-DF) relay systems over κ-µ fading channel conditions is examined in terms of probability density function (PDF), system model and cumulative distribution function (CDF) of the κ-µ distributed envelope, signal-to-noise ratio and the techniques used to generate samples that rely on κ-µ distribution. Specifically, we consider a case where the sourceto-relay, relay-to-destination and source-to-destination link is subject to independent and identically distributed κ-µ fading. From the simulation results, the enhancement in the symbol error rate (SER) with a stronger line of sight (LOS) component is observed. This shows that S-DF relaying systems may perform well even in non-fading or LOS conditions. Monte Carlo simulations are conducted for various fading parameter values and the outcomes turn out to be a close match for theoretical results, which validates the derivations made.
    Źródło:
    Journal of Telecommunications and Information Technology; 2020, 1; 21-30
    1509-4553
    1899-8852
    Pojawia się w:
    Journal of Telecommunications and Information Technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Investigation of Vehicular S-LSTM NOMA Over Time Selective Nakagami-m Fading with Imperfect CSI
    Autorzy:
    Shankar, Ravi
    Chaudhary, Bhanu Pratap
    Mishra, Ritesh Kumar
    Powiązania:
    https://bibliotekanauki.pl/articles/2174454.pdf
    Data publikacji:
    2022
    Wydawca:
    Instytut Łączności - Państwowy Instytut Badawczy
    Tematy:
    inter-symbol interference
    MIMO
    NOMA
    orthogonal frequency division multiplexing
    OFDM
    S-LSTM
    zero-mean circularly symmetric complex Gaussian
    ZM-CSCG
    Opis:
    In this paper, the performance of a deep learningbased multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA) system is investigated for 5G radio communication networks. We consider independent and identically distributed (i.i.d.) Nakagami-m fading links to prove that when using MIMO with the NOMA system, the outage probability (OP) and end-to-end symbol error rate (SER) improve, even in the presence of imperfect channel state information (CSI) and successive interference cancellation (SIC) errors. Furthermore, the stacked long short-term memory (S-LSTM) algorithm is employed to improve the system’s performance, even under time-selective channel conditions and in the presence of terminal’s mobility. For vehicular NOMA networks, OP, SER, and ergodic sum rate have been formulated. Simulations show that an S-LSTM-based DL-NOMA receiver outperforms least square (LS) and minimum mean square error (MMSE) receivers. Furthermore, it has been discovered that the performance of the end-to-end system degrades with the growing amount of node mobility, or if CSI knowledge remains poor. Simulated curves are in close agreement with the analytical results.
    Źródło:
    Journal of Telecommunications and Information Technology; 2022, 4; 47--59
    1509-4553
    1899-8852
    Pojawia się w:
    Journal of Telecommunications and Information Technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Signal Superposition Model with Mineralogy Based Spectroscopic Dielectric Model in Wireless Underground Sensor Networks
    Autorzy:
    Nethravathi, K. A.
    Shankar, S. Ravi
    Powiązania:
    https://bibliotekanauki.pl/articles/226695.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Minerology Based Spectroscopic Dielectric Model
    Undegroud-Underground
    Underground-Aboveground
    Aboveground-Underground
    Opis:
    The propagation of EM waves in soil is defined by permittivity and permeability which are in turn affected by the soil parameters such as soil moisture and texture. Therefore, a suitable Dielectric Model like MBSDM is required for the channel characterization of WUSN. Effect of soil parameters and environmental conditions on signal propagation is modelled using Superposition Model. The simulation of these stages is done in MATLAB for UG-UG, UG-AG and AG–UG scenarios. The system is further implemented on the ZYNQ ZC–702 hardware platform.
    Źródło:
    International Journal of Electronics and Telecommunications; 2019, 65, 4; 693-699
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An Investigation of the MIMO Space Time Block Code Based Selective Decode and Forward Relaying Network over η–µ Fading Channel Conditions
    Autorzy:
    Shankar, Ravi
    Raman, V. V. Raghava
    Rane, Kantilal Pitamber
    Sarojini, B. K.
    Neware, Rahul
    Powiązania:
    https://bibliotekanauki.pl/articles/2058506.pdf
    Data publikacji:
    2022
    Wydawca:
    Instytut Łączności - Państwowy Instytut Badawczy
    Tematy:
    5G
    MIMO
    MRC
    non-homogeneous fading channel
    PEP
    S-DF
    SNR
    Opis:
    In this paper, we examine the end-to-end average pairwise error probability (PEP) and output probability (OP) performance of the maximum ratio combining (MRC) based selective decode and forward (S-DF) system over an η–µ scattering environment considering additive white Gaussian noise (AWGN). The probability distribution function (PDF) and cumulative distribution function (CDF) expressions have been derived for the received signal-to-noise (SNR) ratio and the moment generating function (MGF) technique is used to derive the novel closed-form (CF) average PEP and OP expressions. The analytical results have been further simplified and are presented in terms of the Lauricella function for coherent complex modulation schemes. The asymptotic PEP expressions are also derived in terms of the Lauricella function, and a convex optimization (CO) framework has been developed for obtaining optimal power allocation (OPA) factors. Through simulations, it is also proven that, depending on the number of multi-path clusters and the modulation scheme used, the optimized power allocation system was essentially independent of the power relation scattered waves from the source node (SN) to the destination node (DN). The graphs show that asymptotic and accurate formulations are closely matched for moderate and high SNR regimes. PEP performance significantly improves with an increase in the value of η for a fixed value of µ. The analytical and simulation curves are in close agreement for medium-to-high SNR values.
    Źródło:
    Journal of Telecommunications and Information Technology; 2022, 1; 79--92
    1509-4553
    1899-8852
    Pojawia się w:
    Journal of Telecommunications and Information Technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Analysis of an LSTM-based NOMA Detector Over Time Selective Nakagami-m Fading Channel Conditions
    Autorzy:
    Shankar, Ravi
    Bangare, Jyoti L.
    Kumar, Ajay
    Gupta, Sandeep
    Mehraj, Haider
    Kulkarni, Shriram S.
    Powiązania:
    https://bibliotekanauki.pl/articles/2142313.pdf
    Data publikacji:
    2022
    Wydawca:
    Instytut Łączności - Państwowy Instytut Badawczy
    Tematy:
    deep learning
    DL
    multiple-input multiple-output
    MIMO
    non-orthogonal multiple access
    NOMA
    orthogonal multiple access
    OMA
    Opis:
    This work examines the efficacy of deep learning (DL) based non-orthogonal multiple access (NOMA) receivers in vehicular communications (VC). Analytical formulations for the outage probability (OP), symbol error rate (SER), and ergodic sum rate for the researched vehicle networks are established Rusing i.i.d. Nakagami-m fading links. Standard receivers, such as least square (LS) and minimum mean square error (MMSE), are outperformed by the stacked long-short term memory (S-LSTM) based DL-NOMA receiver. Under real time propagation circumstances, including the cyclic prefix (CP) and clipping distortion, the simulation curves compare the performance of MMSE and LS receivers with that of the DL-NOMA receiver. According to numerical statistics, NOMA outperforms conventional orthogonal multiple access (OMA) by roughly 20% and has a high sum rate when considering i.i.d. fading links.
    Źródło:
    Journal of Telecommunications and Information Technology; 2022, 3; 17--24
    1509-4553
    1899-8852
    Pojawia się w:
    Journal of Telecommunications and Information Technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Instantaneous Frequency Estimation of Multi-Component Non- Stationary Signals using Fourier Bessel series and Time-Varying Auto Regressive Model
    Autorzy:
    Ravi Shankar Reddy, G.
    Rao, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/226382.pdf
    Data publikacji:
    2015
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    basis functions
    Fourier-Bessel expansion
    instantaneous frequency
    multi component non stationary signal
    Time-varying Auto Regressive model
    Opis:
    In this paper, we propose a novel technique for Instantaneous frequency (IF) estimation of multi component non stationary signals using Fourier Bessel Series and Time-Varying Auto Regressive (FB-TVAR) model. In the proposed technique, the Fourier-Bessel (FB) expansion decomposes the multicomponent non stationary signal into a number of monocomponent signals and TVAR model is used to model each monocomponent signal. In TVAR modeling approach the time varying parameters are expanded as a linear combination of basis functions. In this paper, the TVAR parameters are expanded by a discrete cosine basis functions. The maximum likelihood estimation algorithm for model order selection in TVAR models is also discussed. The Instantaneous frequency (IF) is extracted from the time-varying parameters by calculating the angles of the estimation error filter polynomial roots. The estimation of the TVAR parameters of a multicomponent signal requires the inversion of a large covariance matrix, while the projected technique (FB-TVAR) requires the inversion of a number of comparatively small covariance matrices with better numerical stability properties. Simulation results are presented for three component discrete Amplitude and Frequency modulated (AM-FM)signal.
    Źródło:
    International Journal of Electronics and Telecommunications; 2015, 61, 4; 365-376
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Effect of Vehicle Composition and Delay on Roundabout Capacity under Mixed Traffic Conditions
    Autorzy:
    Abhigna, D.
    Kondreddy, S.
    Ravi Shankar, K. V. R.
    Powiązania:
    https://bibliotekanauki.pl/articles/223955.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    critical gap
    vehicle type
    delay
    capacity
    simulation
    circulation flow
    pojazd
    opóźnienie
    pojemność
    symulacja
    Opis:
    Roundabouts are replacing conventional unsignalized intersections in many parts of the world (Polus and Shmueli, 1997). Capacity estimation is necessary for designing a new roundabout, to analyze and improve the existing roundabout facilities. There are several methods to estimate the capacity of the roundabout, but most of them are for homogeneous lane based traffic conditions and not applicable for mixed traffic conditions. This study tries to find out the applicability of the existing methods to mixed traffic conditions, identify the effect of vehicle composition, travel time and delay on capacity. In this study, data was collected from two roundabouts located in Mysore, Karnataka and Rajahmundry, Andhra Pradesh in India. Capacities for both the roundabouts are calculated using the existing methods and compared. VISSIM simulation model has been developed and analyzed for different vehicle compositions scenarios. It was observed that vehicle composition of the traffic influences the roundabout capacity. Since the entry capacity of a roundabout varies significantly with the vehicle composition of the traffic at the roundabout, it is necessary to incorporate this factor into the existing capacity estimation models.
    Źródło:
    Archives of Transport; 2016, 40, 4; 7-14
    0866-9546
    2300-8830
    Pojawia się w:
    Archives of Transport
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    DEVELOPMENT OF A QUANTITATIVE SCORING METHOD FOR STROBE CHECKLIST
    Autorzy:
    Limaye, Dnyanesh
    Limaye, Vaidehi
    Pitani, Ravi Shankar
    Fortwengel, Gerhard
    Sydymanov, Arlan
    Otzipka, Christian
    Ziesenis, Patrick
    Powiązania:
    https://bibliotekanauki.pl/articles/895270.pdf
    Data publikacji:
    2018-10-31
    Wydawca:
    Polskie Towarzystwo Farmaceutyczne
    Tematy:
    STROBE
    STROBE-M
    observational studies
    publication quality
    scoring method
    Opis:
    Background: Evidence-based medicine (EBM) has brought a substantial change in medical practice. Strengthening the Reporting of Observational Studies in Epidemiology (STORBE) guidelines do not have a method to assign quality score to observational study publications which might lead to differences in assessing quality of publication. A scoring method can provide quantitative estimates that could improve quality of reporting, eventual conduct of observational studies and can lead to more transparent judgements about the quality of evidence. Objectives:To develop a quantitative scoring method for STROBE checklist and to design a rating scale in order to categorize epidemiological study publications into excellent, good, fair, poor quality based on the overall scores. Methods:STROBE-M (STROBE Modified) checklist was developed by dividing composite STROBE items into multiple items for ease of comprehension and scoring. For each item, we decided to have 3 quality scores option i.e. 0 (not fulfilled), 1 (fulfilled) and NA (not applicable). STROBE-M adherence scoring method was developed to assign quality scores to study publications. Results: Cross sectional studies had 40% good and 60% fair; case control studies had 7% good and 93% excellent; cohort studies had 100% study publications with excellent grade as per STROBE-M scoring. Cross sectional studies had overall fair STROBE-M adherence grade while case control studies and cohort studies had excellent grade. Conclusion: This study highlighted deficiencies in the reporting of observational studies. Based on our experience, the STROBE-M checklist seems to be a useful tool for assessing the reporting quality of the observational studies.
    Źródło:
    Acta Poloniae Pharmaceutica - Drug Research; 2018, 75, 5; 1095-1106
    0001-6837
    2353-5288
    Pojawia się w:
    Acta Poloniae Pharmaceutica - Drug Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The prevalence, characteristics, and impact of work-related musculoskeletal disorders among physical therapists in the Kingdom of Saudi Arabia – a cross-sectional study
    Autorzy:
    Kakaraparthi, Venkata Nagaraj
    Vishwanathan, Karthik
    Gadhavi, Bhavana
    Reddy, Ravi Shankar
    Samuel, Paul S.
    Alshahrani, Mastour Saeed
    Kakaraparthi, Lalitha
    Gannamaneni, Vamsi Krishna
    Tedla, Jaya Shanker
    Powiązania:
    https://bibliotekanauki.pl/articles/2081895.pdf
    Data publikacji:
    2021-08-31
    Wydawca:
    Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
    Tematy:
    physical therapy
    ergonomics
    musculoskeletal disorders
    workload
    prevalence
    Saudi Arabia
    Opis:
    BackgroundPhysical therapists are known to be susceptible to work-related musculoskeletal disorders (WMSDs), but the prevalence of WMSDs in Saudi Arabia has not been documented. This study aimed to establish the prevalence, characteristics, and risk factors of WMSDs among physical therapists in Saudi Arabia.Material and MethodsA cross-sectional study was conducted among 113 physical therapists in Saudi Arabia using a 6-component questionnaire. Descriptive statistics, incidence, percentages, and χ2 test were used for data analysis.ResultsThe response rate was 68.8%. The reported 12-month incidence of WMSDs was 83.8%. The low back (63.7%) was the most common site of these disorders, followed by the neck (59.2%), while the hip/thigh (4.4%) was the least involved body part. Incidence was related to gender: females were more affected than males (neck, shoulders, low back); age: younger therapists were more affected than older ones (shoulders, low back); working sector: government sector workers were more affected than those employed in other sectors (neck); and specialty: orthopedic specialists were the most frequently affected, followed by those specializing in neurology (thumbs, upper back, knees, ankle/foot). Most of the physical therapists had >5 periods of neck, shoulder, and low-back WMSDs. The most important risk factor for WMSDs was treating more patients in a day (47.7%). The most frequently adopted handling strategy identified to combat WMSDS was modifying the patient’s position (62.8%).ConclusionsOverall, WMSDs among physical therapists in Saudi Arabia are common, with the low back and the neck constituting the most frequently affected body regions. Professional experience and the awareness of ergonomics principles can help prevent the early development of WMSDs among physical therapists. Med Pr. 2021;72(4):363–73
    Źródło:
    Medycyna Pracy; 2021, 72, 4; 363-373
    0465-5893
    2353-1339
    Pojawia się w:
    Medycyna Pracy
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-9 z 9

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