Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Pattarapong Phasukkit"'
Autor:
Pattarapong Phasukkit
Publikováno v:
IEEE Access, Vol 10, Pp 4536-4549 (2022)
This research proposes a deep learning-driven impulse radio ultra-wideband (IR-UWB) multiantenna scheme for non-ionic breast tumor localization. The structure of the multiantenna scheme consists of one side slot Vivaldi transmitting (Tx) and nine sid
Externí odkaz:
https://doaj.org/article/1db3dd406b034667a4aec15ca743929b
Autor:
Kamonchat Apivanichkul, Pattarapong Phasukkit, Pittaya Dankulchai, Wiwatchai Sittiwong, Tanun Jitwatcharakomol
Publikováno v:
Sensors, Vol 23, Iss 12, p 5720 (2023)
This research proposes augmenting cropped computed tomography (CT) slices with data attributes to enhance the performance of a deep-learning-based automatic left-femur segmentation scheme. The data attribute is the lying position for the left-femur m
Externí odkaz:
https://doaj.org/article/e428bb31780f46959166be0000478e6a
Publikováno v:
IEEE Access, Vol 9, Pp 79572-79587 (2021)
This research proposes a triple-antenna scheme of three coaxial half slot antennas (CHSA) for minimally invasive hepatic microwave ablation (MWA). In the MWA treatment, the antennas were positioned around the cancer tissue in equilateral triangle for
Externí odkaz:
https://doaj.org/article/9645f533dc9e4af3ab9cbfb1ad5b954c
Publikováno v:
Sensors, Vol 22, Iss 9, p 3543 (2022)
This research proposes a multiple-input deep learning-driven ion-sensitive field-effect transistor (ISFET) scheme to predict the concentrations of carbaryl pesticide. In the study, the carbaryl concentrations are varied between 1 × 10−7–1 × 10
Externí odkaz:
https://doaj.org/article/598151f98b4741fea2f6d5c124b183ff
Publikováno v:
Sensors, Vol 22, Iss 8, p 2918 (2022)
This paper proposes a time-series deep-learning 3D Kinect camera scheme to classify the respiratory phases with a lung tumor and predict the lung tumor displacement. Specifically, the proposed scheme is driven by two time-series deep-learning algorit
Externí odkaz:
https://doaj.org/article/e9d2aff9d41d4d8890d3527c1eed06e2
Publikováno v:
Sensors, Vol 21, Iss 7, p 2488 (2021)
A common problem in through-wall radar is reflected signals much attenuated by wall and environmental noise. The reflected signal is a convolution product of a wavelet and an unknown object time series. This paper aims to extract the object time seri
Externí odkaz:
https://doaj.org/article/e280d6cd58f442238812ab5f52e29e17
Autor:
Wara Suwansin, Pattarapong Phasukkit
Publikováno v:
Sensors, Vol 21, Iss 1, p 272 (2021)
This research proposes a nondestructive single-sensor acoustic emission (AE) scheme for the detection and localization of cracks in steel rail under loads. In the operation, AE signals were captured by the AE sensor and converted into digital signal
Externí odkaz:
https://doaj.org/article/d208dcf5d2fa4770b42e8d7bd62a4752
Publikováno v:
Sensors, Vol 20, Iss 23, p 6828 (2020)
This research proposes a through-wall S-band ultra-wideband (UWB) switched-antenna-array radar scheme for detection of stationary human subjects from respiration. The proposed antenna-array radar consists of one transmitting (Tx) and five receiving a
Externí odkaz:
https://doaj.org/article/902aed01776746299c001db3d78d4957
Publikováno v:
Sensors, Vol 20, Iss 13, p 3750 (2020)
This research proposes a scheme of field programmable gate array (FPGA) to generate an impulse-radio ultra-wideband (IR-UWB) pulse. The FPGA scheme consists of three parts: digital clock manager, four-delay-paths stratagem, and edge combiner. The IR-
Externí odkaz:
https://doaj.org/article/95b1e616891048179761f3117e515b84
Publikováno v:
Sensors, Vol 20, Iss 10, p 2916 (2020)
Ultra-wideband (UWB) radar has become a critical remote-sensing tool for non-contact vital sign detection such as emergency rescues, securities, and biomedicines. Theoretically, the magnitude of the received reflected signal is dependent on the centr
Externí odkaz:
https://doaj.org/article/fdcec69fe4bb493a9bd0ac995b2eec43