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Yong-Hwan Moon - IEEE Xplore Author Profile

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Author details

Yong-Hwan Moon

Also published under: Y. H. Moon

Publications

4

Citations

46

Publications by Year

20112020

Co-Authors:

Taek-Joon AnH. K. JeonJ. K. KangL. S. KimSang-Ho Kim

Show All Co-Authors (9)

Yong-Hwan Moon

Also published under: Y. H. Moon

Affiliation

Department of Electronics Engineering

Inha University

Incheon, South Korea

Publication Topics

Bit Error,
Bit Error Rate,
Chip Area,
Clock And Data Recovery,
Clock Phase,
Data Rate,
Linear Detection,
Loop Bandwidth,
Phase Detection,
Phase-locked,
Phase-locked Loop,
Power Consumption

Biography

Yong-Hwan Moon received the B.S., M.S., and Ph.D. degrees in electronics engineering from Inha University, Incheon, South Korea, in 2002, 2004, and 2019, respectively.,Since 2004, he has been with Silicon Works, Co., Ltd., Seoul, South Korea, where he researched and developed the timing controller and intra-panel interface circuits for displays. His research interests include transmitters and receivers with clock and data recovery circuit in high-speed serial interfaces.(Based on document published on 18 April 2019).

Publications

4

Citations

46

Publications by Year

20112020

Co-Authors:

Taek-Joon An
H. K. Jeon
J. K. Kang
L. S. Kim
Sang-Ho Kim

Show All Co-Authors (9)

Author's Published Works

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Showing 1-4 of 4 results

Conferences (4)

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Neetu Srivastava(4)
Peeta Basa Pati(3)
R. K. Baghel(1)
Hari Shanker Srivastava(1)
Spurthi Joanna Selladurai(1)
Dept. of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Bengaluru, India(2)
Dept. of Mathematics, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru, India(2)
Department of Mathematics, Amrita School of Engineering, Bengaluru, India(1)
Department of CSE, Amrita School of Computing, Bengaluru, India(1)
Department of electronics, Manit Bhopal(1)
2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)(2)
2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES)(1)
2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)(1)
IEEE(4)
Delhi, India(2)
Paralakhemundi, India(1)
Vellore, India(1)
Learning Algorithms(3)
Heat Transfer(2)
Machine Learning(2)
Machine Learning Models(2)
Machine Learning Techniques(2)

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Investigation of Heat exchanger performance with delta-wing tape inserts for high Reynolds Number using various machine learning techniques

Gizelle Rodrigues;Neetu Srivastava;Peeta Basa Pati

2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)

Year: 2023 | Conference Paper |

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The present study utilizes the support vector regression (SVR) technique with a cubic kernel to forecast the performance of a double-pipe heat exchanger using T-W tape inserts with wing-width ratios of 0.31, 0.47, and 0.63. The SVR model that is established is applied to predict two key parameters, namely, the thermal performance (η) and the friction factor (f). Various scenarios are examined by c...Show More

Investigation of Heat exchanger performance with delta-wing tape inserts for high Reynolds Number using various machine learning techniques

Gizelle Rodrigues;Neetu Srivastava;Peeta Basa Pati

2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)

Year: 2023 | Conference Paper |

Investigation of Immersion Cooling Efficiency for Lithium-Ion Battery Pack with Machine Learning Validation

Shivaranjini S.;Neetu Srivastava;Peeta Basa Pati

2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)

Year: 2023 | Conference Paper |

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Battery thermal management systems play a critical role in improving their power capability, extending lifetime, and minimizing the probability of thermal runaway. These systems aim to maintain a regulated operating temperature by removing heat from the battery pack and homogenizing the temperature within and between the cells. Precisely predicting the outlet fluid temperature is crucial to enhanc...Show More

Investigation of Immersion Cooling Efficiency for Lithium-Ion Battery Pack with Machine Learning Validation

Shivaranjini S.;Neetu Srivastava;Peeta Basa Pati

2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)

Year: 2023 | Conference Paper |

Machine learning analysis of shear stress over a symmetrically stenosed arterial wall under the impact of magnetic field

Spurthi Joanna Selladurai;Neetu Srivastava;Peeta Basa Pati

2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)

Year: 2023 | Conference Paper |

Cited by: Papers (2)

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This study provides a framework to predict the shear stress over a symmetrically stenosed arterial wall under the impact of magnetic field using machine learning algorithms. We investigated the magnetohydrodynamics blood flow with the help of machine learning techniques. The considered model is governed by the principles of MHD. To predict the flow patterns and velocity of the blood flow it is imp...Show More

Machine learning analysis of shear stress over a symmetrically stenosed arterial wall under the impact of magnetic field

Spurthi Joanna Selladurai;Neetu Srivastava;Peeta Basa Pati

2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)

Year: 2023 | Conference Paper |

A common source cascaded MOS feedback charge pump with wide lock in range for DLL

Hari Shanker Srivastava;Neetu Srivastava;R. K. Baghel

2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES)

Year: 2016 | Conference Paper |

Locking range of DLL (Delay Locked Loop) depends upon channel length modulation effect of CMOS. Via constant current source/sink Charge-pump adds/removes charges to/from a loop filter. A new feedback topology is used in proposed charge pump (CP) to reduce the current mismatch in charge pump mismatch for PET (Positron Emission Tomography) imaging applications. Simulations are performed in cadence s...Show More

A common source cascaded MOS feedback charge pump with wide lock in range for DLL

Hari Shanker Srivastava;Neetu Srivastava;R. K. Baghel

2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES)

Year: 2016 | Conference Paper |

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