Shigenori Yokoshima

Dr. Shigenori Yokoshima


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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Makoto MorinagaMakoto Morinaga
Makoto Morinaga
Thulan NguyenThulan Nguyen
Thulan Nguyen
Shigenori YokoshimaShigenori Yokoshima
Shigenori Yokoshima
KSKoji Shimoyama
Koji Shimoyama
TMTakashi Morihara
Takashi Morihara
Takashi YanoTakashi Yano
Takashi Yano
Since the development of the 5-point verbal and 11-point numerical scales for measuring noise annoyance by the ICBEN Team 6, these scales have been widely used in socio-acoustic surveys worldwide, and annoyance responses have been easily compared internationally. However, both the top two categories of the 5-point verbal scale and the top three ones of the 11-point numerical scale are correspond to high annoyance, so it is difficult to precisely compare annoyance responses. Therefore, we calculated differences in day–evening–night-weighted sound pressure levels (Lden) by comparing values corresponding to 10% highly annoyed (HA) on Lden_%HA curves obtained from measurements in 40 datasets regarding surveys conducted in Japan and Vietnam. The results showed that the Lden value corresponding to 10% HA using the 5-point verbal scale was approximately 5 dB lower than that of the 11-point numerical scale. Thus, some correction is required to compare annoyance responses measured by the 5-point verbal and the 11-point numerical scales. The results of this study were also compared with those of a survey in Switzerland.

10 November 2023 in Sensors
Verified
Journal Article
Open access
PDF file
JMJunichi Mori
Junichi Mori
Makoto MorinagaMakoto Morinaga
Makoto Morinaga
Takumi AsakuraTakumi Asakura
Takumi Asakura
TTTakenobu Tsuchiya
Takenobu Tsuchiya
IYIppei Yamamoto
Ippei Yamamoto
Shigenori YokoshimaShigenori Yokoshima
Shigenori Yokoshima
Radar is an important sensing technology for three-dimensional positioning of aircraft. This method requires detecting the response from the object to the signal transmitted from the antenna, but the accuracy becomes unstable due to effects such as obstruction and reflection from surrounding buildings at low altitudes near the antenna. Accordingly, there is a need for a ground-based positioning method with high accuracy. Among the positioning methods using cameras that have been proposed for this purpose, we have developed a multisite synchronized positioning system using IoT devices equipped with a fish-eye camera, and have been investigating its performance. This report describes the details and calibration experiments for this technology. Also, a case study was performed in which flight paths measured by existing GPS positioning were compared with results from the proposed method. Although the results obtained by each of the methods showed individual characteristics, the three-dimensional coordinates were a good match, showing the effectiveness of the positioning technology proposed in this study.