Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Jaeseok Shim"'
Publikováno v:
Sensors, Vol 23, Iss 22, p 9075 (2023)
In this paper, research was conducted on anomaly detection of wheel flats. In the railway sector, conducting tests with actual railway vehicles is challenging due to safety concerns for passengers and maintenance issues as it is a public industry. Th
Externí odkaz:
https://doaj.org/article/9900992799e341efb4887eb21284de4a
Publikováno v:
Applied Sciences, Vol 12, Iss 24, p 12901 (2022)
In this paper, anomaly detection of wheel flats based on signal processing and deep learning techniques is analyzed. Wheel flats mostly affect running stability and ride comfort. Currently, domestic railway companies visually inspect wheel flats one
Externí odkaz:
https://doaj.org/article/8158c0f52b054c4d8c835bf8dc22fd64
Publikováno v:
Applied Sciences, Vol 11, Iss 5, p 2151 (2021)
This paper studied two useful vibration signal processing methods for detection and diagnosis of wheel flats. First, the cepstrum analysis method combined with order analysis was applied to the vibration signal to detect periodic responses in the spe
Externí odkaz:
https://doaj.org/article/cd38636ff8324dda8c2b0cbce37caa27
Publikováno v:
Applied Sciences
Volume 11
Issue 5
Applied Sciences, Vol 11, Iss 2151, p 2151 (2021)
Volume 11
Issue 5
Applied Sciences, Vol 11, Iss 2151, p 2151 (2021)
This paper studied two useful vibration signal processing methods for detection and diagnosis of wheel flats. First, the cepstrum analysis method combined with order analysis was applied to the vibration signal to detect periodic responses in the spe
Autor:
Yujin Lim, Jaeseok Shim
Publikováno v:
Mobile Information Systems, Vol 2016 (2016)
In the WSN- (wireless sensor network-) based surveillance system to detect undesired intrusion, all detected objects are not intruders. In order to reduce false alarms, human detection mechanism needs to determine if the detected object is a human. F
Autor:
Yujin Lim, Jaeseok Shim
Publikováno v:
IETE Technical Review. 32:321-329
In some surveillance system, it is important to detect undesired intrusion in a monitored space. However, all detected objects are not intruders. In order to reduce the false alarms, it is needed to determine if the detected object is human. Thus, we
Publikováno v:
The Journal of Korea Information and Communications Society. :614-619
In WSN (Wireless Sensor Networks) based surveillance system, it needs to know the occurrence of events or objects and their locations, because the data have no meaning without location information. Using traditional 2D localization mechanisms provide
Publikováno v:
ICOIN
Wireless Sensor Network (WSN) has been used for monitoring applications. However, due to the limitation of resources, efficient management of the large volume of sensor data is an important issue to deal with. In recent years, cloud computing has eme
Publikováno v:
RACS
Wireless Sensor Network (WSN) applications have been used in monitoring and controlling areas. However, due to the limitation of resources, efficient management of the large volume of WSNs data is an important issue to deal with. In recent years, Sen