Výsledky vyhledávání - "Puripong Suthisopapan"

Akademický článek

Automatic classification of spread‐F types in ionogram images using support vector machine and convolutional neural network

Autor: Phongsachot Benchawattananon, Apirat Siritaratiwat, Pornchai Supnithi, Michi Nishioka, Septi Perwitasari, Puripong Suthisopapan, Anan Kruesubthaworn

Publikováno v: Earth, Planets and Space, Vol 76, Iss 1, Pp 1-14 (2024)

Abstract An ionogram image serves as a valuable data for examining the ionospheric bottom side characteristics and variabilities. Spread-F is indicated or identified by plasma irregularity in the ionospheric region. Diffused echo in the ionogram imag

Externí odkaz: https://doaj.org/article/b54a60d308f74ee794df9c757203f4d0

Zobrazit plný text záznamu

Akademický článek

A Transmission Scheme Based on Uniform Shortening LDPC Codes for Performance Improvement in Faster-Than-Nyquist Systems

Autor: Tanatsan Khantha, Virasit Imtawil, Nararat Ruangchaijatupon, Pirat Khunkitti, Puripong Suthisopapan

Publikováno v: IEEE Access, Vol 10, Pp 31255-31262 (2022)

Faster-than Nyquist (FTN) signaling is a research topic that has been drawing increased attention due to its capability of improving transmission speed without the need of extra bandwidth. However, the deployment of FTN signaling introduces inter-sym

Externí odkaz: https://doaj.org/article/2e77ed8de8564386a143c9016e829273

Zobrazit plný text záznamu

Akademický článek

On the Performance of Rate-Compatible LDPC Codes under All-Integer Quantization Decoding

Autor: Patinya Muangkammuen, Wongpram Vongjampa, Puripong Suthisopapan

Publikováno v: Journal of Electrical and Computer Engineering, Vol 2022 (2022)

From a practical point of view, quantization is necessary for the design of any low-complexity LDPC decoder. However, the quantization scheme with the minimum computational complexity called all-integer quantization has not been well investigated sin

Externí odkaz: https://doaj.org/article/0c57e4b2972e44ce82c103bf888e4b69

Zobrazit plný text záznamu

Plný text ve formátu HTML

Akademický článek

Adaptive Salp Swarm Algorithm as Optimal Feature Selection for Power Quality Disturbance Classification

Autor: Supanat Chamchuen, Apirat Siritaratiwat, Pradit Fuangfoo, Puripong Suthisopapan, Pirat Khunkitti

Publikováno v: Applied Sciences, Vol 11, Iss 12, p 5670 (2021)

Power quality disturbance (PQD) is an influential situation that significantly declines the reliability of electrical distribution systems. Therefore, PQD classification is an important process for preventing system reliability degradation. This pape

Externí odkaz: https://doaj.org/article/8f72033584c445d8816158829e5492cc

Zobrazit plný text záznamu

Akademický článek

High-Accuracy Power Quality Disturbance Classification Using the Adaptive ABC-PSO as Optimal Feature Selection Algorithm

Autor: Supanat Chamchuen, Apirat Siritaratiwat, Pradit Fuangfoo, Puripong Suthisopapan, Pirat Khunkitti

Publikováno v: Energies, Vol 14, Iss 5, p 1238 (2021)

Power quality disturbance (PQD) is an important issue in electrical distribution systems that needs to be detected promptly and identified to prevent the degradation of system reliability. This work proposes a PQD classification using a novel algorit

Externí odkaz: https://doaj.org/article/2cc249fbeb5443368443f853df414cc5

Zobrazit plný text záznamu