Zen Kawasaki

Dr. Zen Kawasaki


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 June 2020 in Applied Sciences
Verified
Journal Article
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AAAMMAR ALAMMARI
AMMAR ALAMMARI
AAAmmar Ahmed Alkahtani
Ammar Ahmed Alkahtani
MAMohd Riduan Ahmad
Mohd Riduan Ahmad
FNFuad Noman
Fuad Noman
MEMona Riza Mohd Esa
Mona Riza Mohd Esa
VAVassilios Agelidis
Vassilios Agelidis
Lightning mapping systems based on perpendicular crossed baseline interferometer (ITF) technology have been developed rapidly in recent years. Several processing methods have been proposed to estimate the temporal location and spatial map of lightning strikes. In this paper, a single very high frequency (VHF) ITF is used to simulate and augment the lightning maps. We perform a comparative study of using different processing techniques and procedures to enhance the localization and mapping of lightning VHF radiation. The benchmark environment involves the use of different noise reduction and cross-correlation methods. Moreover, interpolation techniques are introduced to smoothen the correlation peaks for more accurate lightning localization. A positive narrow bipolar event (NBE) lightning discharge is analyzed and the mapping procedure is confirmed using both simulated and measured lightning signals. The results indicate that a good estimation of lightning radiation sources is achieved when using wavelet denoising and cross-correlations in wavelet-domain (CCWD) with a minimal error of 3.46°. The investigations carried out in this study confirm that the ITF mapping system could effectively map the lightning VHF radiation source.

8 September 2022 in Atmosphere
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Journal Article
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MUHAMMAD HAZIQ MOHAMMAD SABRIMUHAMMAD HAZIQ MOHAMMAD SABRI
MUHAMMAD HAZIQ MOHAMMAD SABRI
AAAmmar Ahmed Alkahtani
Ammar Ahmed Alkahtani
MAMohd Riduan Ahmad
Mohd Riduan Ahmad
SBShamsul Ammar Shamsul Baharin
Shamsul Ammar Shamsul Baharin
GLGaopeng Lu
Gaopeng Lu
Vernon CoorayVernon Cooray
Vernon Cooray
In this paper, we examined the initiation events of ten negative cloud-to-ground (CG) flashes detected close to measurement stations on 12 November (CG-1 to CG-5) and 24 November (CG-6 to CG-10), 2019. All CG flashes were accompanied by microwave and very-high frequency (VHF) radiation pulses. We recorded all the CG flashes from two measurement stations (ST1 and ST2), which are separated by 13.3 km and consist of fast and slow antenna (FA and SA) sensors, a magnetic field (B-field) sensor, a VHF sensor (60 MHz), and a microwave sensor (~1 GHz). The key finding is that all of the microwave radiation pulses detected before the onset of initial electric field changes (IECs) preceded all VHF radiation pulses with an average lead time of 1.53 µs, ranging between 0.3 and 3.0 µs (for all CG flashes within reversal distance). A total of 50%, 17%, and 33% CG flashes were initiated by a single radiation pulse, two radiation pulses, and three radiation pulses, respectively, and were followed by IECs. Some VHF pulses are classified as short VHF radiation pulses (pulse duration less than 0.5 µs). The average duration from the first microwave and VHF pulses to the onset of IECs were 53.4 µs and 32.78 µs, respectively. The VHF radiation pulses detected before the IECs are suggested to be emitted by short-length positive streamers. Because the microwave radiation pulses were detected earlier (average lead time of 1.53 µs) than VHF radiation pulses, it is most likely that the microwave pulses were emitted by an electron avalanche process.

16 September 2021 in Applied Sciences
Verified
Journal Article
Open access
PDF file
AAAMMAR ALAMMARI
AMMAR ALAMMARI
AAAmmar Ahmed Alkahtani
Ammar Ahmed Alkahtani
MAMohd Riduan Ahmad
Mohd Riduan Ahmad
AAAhmed Aljanad
Ahmed Aljanad
FNFuad Noman
Fuad Noman
ZKZen Kawasaki
Zen Kawasaki
Several processing methods have been proposed for estimating the real pattern of the temporal location and spatial map of the lightning strikes. However, due to the complexity of lightning signals, providing accurate lightning maps estimation remains a challenging task. This paper presents a cross-correlation wavelet-domain-based particle swarm optimization (CCWD-PSO) technique for an accurate and robust representation of lightning mapping. The CCWD method provides an initial estimate of the lightning map, while the PSO attempts to optimize the trajectory of the lightning map by finding the optimal sliding window of the cross-correlation. The technique was further enhanced through the introduction of a novel lightning event extraction method that enables faster processing of the lightning mapping. The CCWD-PSO method was validated and verified using three narrow bipolar events (NBEs) flashes. The observed results demonstrate that this technique offers high accuracy in representing the real lightning mapping with low estimation errors.