JoTSSN

Communication Interpretation Device for Deaf and Blind

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u00a0Mrunal Naik, Praful Nar, Mayuri Sawant, Prerna Sinha, Umesh Pinjarkar,

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nJanuary 9, 2023 at 5:54 am

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At immediate circumstances differently abled people require pathway to lead a normal life. Technology has always helped people with disabilities. Due to digital revolution, many apps and gadgets have reduced the challenges faced on a daily basis by differently abled. The aim of our research paper is to create a single device solution in such a way which is simple, fast, accurate and cost-effective. The main purpose of the prototype is to make the differently abled people, feel independent confident by seeing, hearing and talking for them. Having limited or no access to visual and environmental information can impact a person’s ability to function in a variety of situations including navigating around their environment, socially interacting and accessing printed materials.

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Volume :u00a0u00a08 | Issue :u00a0u00a01 | Received :u00a0u00a0April 26, 2021 | Accepted :u00a0u00a0May 10, 2021 | Published :u00a0u00a0May 25, 2021n[if 424 equals=”Regular Issue”][This article belongs to Journal of Telecommunication, Switching Systems and Networks(jotssn)] [/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue Communication Interpretation Device for Deaf and Blind under section in Journal of Telecommunication, Switching Systems and Networks(jotssn)] [/if 424]
Keywords Speech to text, Arduino uno, 1Sheeld, Environment.

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1. Akthar S Javeed. Survey on communication among blind, deaf and dumb people using a smart glove. International Journal of Advance Research, Ideas and Innovations in Technology. 2018.
2. Ghute MS, Soitkar S, Kamble KP. A Novel Approach to Communicate with Deaf Dumb and Blind Person. International Journal of Engineering Research & Science (IJOER). April-2017;3(4).
3. Shahrukh Javed, Ghousia Banu, J Aarthy Suganthi Kani and Ateequeur Rahman. Wireless Glove for Hand Gesture Acknowledgment: Sign Language to Discourse Change Framework in Territorial Dialect. Robotics &Automation Engineering Journal. June 2018;3(2).
4. Sanish Manandhar, Sushana Bajracharya, Sanjeev Karki, Ashish Kumar Jha. Hand Gesture Vocalizer for Dumb and Deaf People. SCITECH Nepal, Vol. 14, No. 1.
5. Anuradha PG, Devibalan K. A Low-Cost Portable Communication Device for the Deaf blind.
6. Ruman Sarkar, Smita Das, Sharmistha Roy. SPARSHA: A Low Cost Refreshable Braille for Deaf Blind People for Communication with Deaf-Blind and Non-disabled Persons., 9th International Conference, ICDCIT 2013, Bhubaneswar, India.
7. Bhagyashri Shirude, Aishwarya Mohite, Kalyani Aghav, Pranjali Gade. Providing Effective Approach for Communication among Blind, Deaf and Dumb People. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET). 2016;5(3).
8. Sunita V. Matiwade, M.R. Dixit. Electronic Support System for Deaf and Dumb to Interpret Sign Language of Communication. International Journal of Innovative Research in Science, Engineering and Technology (An ISO 3297: 2007 Certified Organization). 2016;5(5).
9. Katherin Duarte-Barón, Julieth X. Pabón, Reynaldo Claros, Jhon J. Gil. Design and construction of a device for facilitating the learning of Braille literacy system. Ingeniería y Competitividad. 2016;18(1):79–92.

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[if 424 not_equal=”Regular Issue”] Regular Issue[/if 424] Open Access Article

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Journal of Telecommunication, Switching Systems and Networks

ISSN: 2454-6372

Editors Overview

jotssn maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

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    By  [foreach 286]n

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    Mrunal Naik, Praful Nar, Mayuri Sawant, Prerna Sinha, Umesh Pinjarkar

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  1. Student, Professor,Department of Electronics and Telecommunication Engineering, Saraswati College of Engineering, Navi Mumbai, Department of Electronics and Telecommunication Engineering, Saraswati College of Engineering, Navi Mumbai,Maharashtra, Maharashtra,India, India

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Abstract

nAt immediate circumstances differently abled people require pathway to lead a normal life. Technology has always helped people with disabilities. Due to digital revolution, many apps and gadgets have reduced the challenges faced on a daily basis by differently abled. The aim of our research paper is to create a single device solution in such a way which is simple, fast, accurate and cost-effective. The main purpose of the prototype is to make the differently abled people, feel independent confident by seeing, hearing and talking for them. Having limited or no access to visual and environmental information can impact a person’s ability to function in a variety of situations including navigating around their environment, socially interacting and accessing printed materials.n

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Keywords: Speech to text, Arduino uno, 1Sheeld, Environment.

n[if 424 equals=”Regular Issue”][This article belongs to Journal of Telecommunication, Switching Systems and Networks(jotssn)]

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References

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1. Akthar S Javeed. Survey on communication among blind, deaf and dumb people using a smart glove. International Journal of Advance Research, Ideas and Innovations in Technology. 2018.
2. Ghute MS, Soitkar S, Kamble KP. A Novel Approach to Communicate with Deaf Dumb and Blind Person. International Journal of Engineering Research & Science (IJOER). April-2017;3(4).
3. Shahrukh Javed, Ghousia Banu, J Aarthy Suganthi Kani and Ateequeur Rahman. Wireless Glove for Hand Gesture Acknowledgment: Sign Language to Discourse Change Framework in Territorial Dialect. Robotics &Automation Engineering Journal. June 2018;3(2).
4. Sanish Manandhar, Sushana Bajracharya, Sanjeev Karki, Ashish Kumar Jha. Hand Gesture Vocalizer for Dumb and Deaf People. SCITECH Nepal, Vol. 14, No. 1.
5. Anuradha PG, Devibalan K. A Low-Cost Portable Communication Device for the Deaf blind.
6. Ruman Sarkar, Smita Das, Sharmistha Roy. SPARSHA: A Low Cost Refreshable Braille for Deaf Blind People for Communication with Deaf-Blind and Non-disabled Persons., 9th International Conference, ICDCIT 2013, Bhubaneswar, India.
7. Bhagyashri Shirude, Aishwarya Mohite, Kalyani Aghav, Pranjali Gade. Providing Effective Approach for Communication among Blind, Deaf and Dumb People. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET). 2016;5(3).
8. Sunita V. Matiwade, M.R. Dixit. Electronic Support System for Deaf and Dumb to Interpret Sign Language of Communication. International Journal of Innovative Research in Science, Engineering and Technology (An ISO 3297: 2007 Certified Organization). 2016;5(5).
9. Katherin Duarte-Barón, Julieth X. Pabón, Reynaldo Claros, Jhon J. Gil. Design and construction of a device for facilitating the learning of Braille literacy system. Ingeniería y Competitividad. 2016;18(1):79–92.

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Regular Issue Open Access Article

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Journal of Telecommunication, Switching Systems and Networks

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[if 344 not_equal=””]ISSN: 2454-6372[/if 344]

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Volume 8
Issue 1
Received April 26, 2021
Accepted May 10, 2021
Published May 25, 2021

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JoTSSN

Comparison & Improvement in Channel Estimation Techniques for Next Generation Network Using mm wave OFDM Channel

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By [foreach 286]u00a0

u00a0Atul Sharma,

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nJanuary 9, 2023 at 8:49 am

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nAbstract

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This paper develops schemes for orthogonal matching pursuit (OMP), bayesian Cramer Rao Bound & ORACLE-LS channel estimation technique in milli-meter wave (mm-Wave) multiple-input-multipleoutput (MIMO) systems that exploit the spatial sparsity inherent in channels. In simulation results shows comparison between ORACLE LS & orthogonal matching pursuit (OMP) on the basis of NMSE v/s SNR comparison between orthogonal matching pursuit OMP, MSBL, and TSBL-based & various channel estimation techniques for the mm-Wave MIMO whose setup parameters are as NT (No of transmitter) = 8, NR (No of receivers) = 8, NBeam = 8, R = 8, NRF = 4, Nc (No of carriers) = 5 and G = 10. Simulation result shows the improved in performance of the proposed ORACLE LSbased channel estimation techniques gives better performance in comparison to the popular orthogonal matching pursuit (OMP) based scheme.

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Volume :u00a0u00a08 | Issue :u00a0u00a02 | Received :u00a0u00a0June 26, 2021 | Accepted :u00a0u00a0July 16, 2021 | Published :u00a0u00a0August 11, 2021n[if 424 equals=”Regular Issue”][This article belongs to Journal of Telecommunication, Switching Systems and Networks(jotssn)] [/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue Comparison & Improvement in Channel Estimation Techniques for Next Generation Network Using mm wave OFDM Channel under section in Journal of Telecommunication, Switching Systems and Networks(jotssn)] [/if 424]
Keywords OMP, MSBL, TSBL-based, ORACLE LS-based, MIMO.

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1. S. Rangan, T.S. Rappaport, and E. Erkip, “Millimeter-wave cellular wireless networks Potentials and challenges,” Proc. IEEE, vol. 102, no. 3, pp. 366–385, Mar. 2014.
2. T. Bai, A. Alkhateeb, and R. W. Heath, Jr., “Coverage and capacity of millimeter-wave cellular networks,” IEEE Commun. Mag., vol. 52, no. 9, pp. 70–77, Sep. 2014.
3. R.W. Heath, Jr., N. Gonzalez-Prelcic, S. Rangan, W. Roh, and A.M. Sayeed, “An overview of signal processing techniques for millimeterwave MIMO systems,” IEEE Journal of Selected Topics in SignalProcess., vol. 10, no. 3, pp. 436–453, Apr. 2016.
4. A. Alkhateeb, O.E. Ayach, G. Leus, and R.W. Heath, Jr., “Channel estimation and hybrid precoding for millimeter wave cellular systems,” IEEE Journal of Selected Topics in Signal Process., vol. 8, no. 5, pp.831–846, Oct. 2014.
5. O.E. Ayach, S. Rajagopal, S. Abu-Surra, Z. Pi, and R.W. Heath, “Spatially sparse precoding in millimeter wave MIMO systems,” IEEE Trans. on Wireless Communication, vol. 13, no. 3, pp.1499–1513, Mar. 2014.
6. J. Lee, G.-T. Gil, and Y.H. Lee, “Channel estimation via orthogonal matching pursuit for hybrid MIMO systems in millimeter wave communications, IEEE Trans. on Communication, vol. 64, no. 6, pp. 2370–2386, Jun. 2016.
7. S.S. Chen, D.L. Donoho, and M.A. Saunders, “Atomic decompositionby basis pursuit,” SIAM J. Sci. Computer, vol. 20, no. 1, pp. 33–61, 1999.
8. I.F. Gorodnitsky and B.D. Rao, “Sparse signal reconstruction from limited data using FOCUSS: are-weighted minimum norm algorithm,” IEEE Trans. Signal Process., vol. 45, no. 3, pp. 600–616, Mar. 1997.
9. R.T. Suryaprakash, M. Pajovic, K.J. Kim, and P. Orlik, “Millimeter wave communications channel estimation via Bayesian group sparse recovery,” in 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, pp. 3406–3410.
10. D.P. Wipf and B.D. Rao, “Sparse Bayesian learning for basis selection,” IEEE Trans. Signal Process, vol. 52, no. 8, pp. 2153–2164, Aug. 2004.
11. R. Prasad, C.R. Murthy, and B.D. Rao, “Joint approximately sparse channel estimation and data detection in OFDM systems using sparse Bayesian learning,” IEEE Trans. Signal Process., vol.62, no. 14, pp.3591–3603, Jul. 2014.
12. V. Gupta, A. Mishra, S. Dwivedi, and A.K. Jagannatham, “SBL-based joint target imaging and Doppler frequency estimation in monostatic MIMO radar systems,” in Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, pp. 3011–3015.
13. T. Moon and W. Sterling, Mathematical Methods and Algorithms forSignal Processing. Prentice Hall, 2000.
14. H.L. Van Trees, Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory. John Wiley & Sons, Inc., 2002.
15. H. Hijazi and L. Ros, “Bayesian Cramer-Rao bounds for complex gain parameters estimation of slowly varying Rayleigh channel in OFDM systems,” ELSEVIER Signal Process. FAST Commun., vol. 89, pp. 111–115, Jan. 2009.

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[if 424 not_equal=”Regular Issue”] Regular Issue[/if 424] Open Access Article

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Journal of Telecommunication, Switching Systems and Networks

ISSN: 2454-6372

Editors Overview

jotssn maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

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    By  [foreach 286]n

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    Atul Sharma

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  1. Research Scholar,Madhav Institute of Technology & Science (M.I.T.S), Gwalior,Madhya Pradesh,India

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Abstract

nThis paper develops schemes for orthogonal matching pursuit (OMP), bayesian Cramer Rao Bound & ORACLE-LS channel estimation technique in milli-meter wave (mm-Wave) multiple-input-multipleoutput (MIMO) systems that exploit the spatial sparsity inherent in channels. In simulation results shows comparison between ORACLE LS & orthogonal matching pursuit (OMP) on the basis of NMSE v/s SNR comparison between orthogonal matching pursuit OMP, MSBL, and TSBL-based & various channel estimation techniques for the mm-Wave MIMO whose setup parameters are as NT (No of transmitter) = 8, NR (No of receivers) = 8, NBeam = 8, R = 8, NRF = 4, Nc (No of carriers) = 5 and G = 10. Simulation result shows the improved in performance of the proposed ORACLE LSbased channel estimation techniques gives better performance in comparison to the popular orthogonal matching pursuit (OMP) based scheme.n

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Keywords: OMP, MSBL, TSBL-based, ORACLE LS-based, MIMO.

n[if 424 equals=”Regular Issue”][This article belongs to Journal of Telecommunication, Switching Systems and Networks(jotssn)]

n[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in Journal of Telecommunication, Switching Systems and Networks(jotssn)] [/if 424]

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References

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1. S. Rangan, T.S. Rappaport, and E. Erkip, “Millimeter-wave cellular wireless networks Potentials and challenges,” Proc. IEEE, vol. 102, no. 3, pp. 366–385, Mar. 2014.
2. T. Bai, A. Alkhateeb, and R. W. Heath, Jr., “Coverage and capacity of millimeter-wave cellular networks,” IEEE Commun. Mag., vol. 52, no. 9, pp. 70–77, Sep. 2014.
3. R.W. Heath, Jr., N. Gonzalez-Prelcic, S. Rangan, W. Roh, and A.M. Sayeed, “An overview of signal processing techniques for millimeterwave MIMO systems,” IEEE Journal of Selected Topics in SignalProcess., vol. 10, no. 3, pp. 436–453, Apr. 2016.
4. A. Alkhateeb, O.E. Ayach, G. Leus, and R.W. Heath, Jr., “Channel estimation and hybrid precoding for millimeter wave cellular systems,” IEEE Journal of Selected Topics in Signal Process., vol. 8, no. 5, pp.831–846, Oct. 2014.
5. O.E. Ayach, S. Rajagopal, S. Abu-Surra, Z. Pi, and R.W. Heath, “Spatially sparse precoding in millimeter wave MIMO systems,” IEEE Trans. on Wireless Communication, vol. 13, no. 3, pp.1499–1513, Mar. 2014.
6. J. Lee, G.-T. Gil, and Y.H. Lee, “Channel estimation via orthogonal matching pursuit for hybrid MIMO systems in millimeter wave communications, IEEE Trans. on Communication, vol. 64, no. 6, pp. 2370–2386, Jun. 2016.
7. S.S. Chen, D.L. Donoho, and M.A. Saunders, “Atomic decompositionby basis pursuit,” SIAM J. Sci. Computer, vol. 20, no. 1, pp. 33–61, 1999.
8. I.F. Gorodnitsky and B.D. Rao, “Sparse signal reconstruction from limited data using FOCUSS: are-weighted minimum norm algorithm,” IEEE Trans. Signal Process., vol. 45, no. 3, pp. 600–616, Mar. 1997.
9. R.T. Suryaprakash, M. Pajovic, K.J. Kim, and P. Orlik, “Millimeter wave communications channel estimation via Bayesian group sparse recovery,” in 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, pp. 3406–3410.
10. D.P. Wipf and B.D. Rao, “Sparse Bayesian learning for basis selection,” IEEE Trans. Signal Process, vol. 52, no. 8, pp. 2153–2164, Aug. 2004.
11. R. Prasad, C.R. Murthy, and B.D. Rao, “Joint approximately sparse channel estimation and data detection in OFDM systems using sparse Bayesian learning,” IEEE Trans. Signal Process., vol.62, no. 14, pp.3591–3603, Jul. 2014.
12. V. Gupta, A. Mishra, S. Dwivedi, and A.K. Jagannatham, “SBL-based joint target imaging and Doppler frequency estimation in monostatic MIMO radar systems,” in Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, pp. 3011–3015.
13. T. Moon and W. Sterling, Mathematical Methods and Algorithms forSignal Processing. Prentice Hall, 2000.
14. H.L. Van Trees, Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory. John Wiley & Sons, Inc., 2002.
15. H. Hijazi and L. Ros, “Bayesian Cramer-Rao bounds for complex gain parameters estimation of slowly varying Rayleigh channel in OFDM systems,” ELSEVIER Signal Process. FAST Commun., vol. 89, pp. 111–115, Jan. 2009.

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Volume 8
Issue 2
Received June 26, 2021
Accepted July 16, 2021
Published August 11, 2021

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