http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Optimisation of Emergency Rescue Location (ERL) using KLD-Resampling : An Initial Proposal
Wan Mohd Yaakob Wan Bejuri,Mohd Murtadha Mohamad,Raja Zahilah Raja Mohd Radzi 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.2
When an emergency occurs in a building, congestion avoidance becomes a very serious localisation issue, which is often ignored. If the emergency involves the outbreak of fire, the rescue team must establish the easiest and quickest exit route from the building. Any delay could be very dangerous, potentially even resulting in fatalities. To avoid congestion, an effective Emergency Rescue Localisation (ERL) system is essential to help rescue teams determine the easiest exit route from the building. This paper proposes an ERL methodology, based on the Inertial Measurement Unit (IMU).In this system, the IMU helps to determine and obtain positioning data from a building’s interior. This study describes the application of the ERL system for an indoor situation in detail.
Wan Mohd Yaakob Wan Bejuri,Mohd Murtadha Mohamad,Raja Zahilah Raja Mohd Radzi 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.12
Congestion avoidance in emergencies is one of many overlooked localization issues. During an emergency (such as a fire), it is difficult for rescuers to determine the best exit route when inside a building. Any time delay during decision making can risk loss of life. Therefore, an efficient Emergency Rescue Localization (ERL) system is essential to assist rescuers to identify the best route for reaching the outside when inside a building. Thus, we propose a new ERL based on an Inertial Measurement Unit (IMU). In the proposed ERL, an IMU is used to retrieve location information from inside the building. To conclude, we illustrate out proposed solution for indoor environmental set-up.
Wan Mohd Yaakob Wan Bejuri,Mohd Murtadha Mohamad,Raja Zahilah Raja,Mohd Radzi 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.11
When Global Positioning Systems are obstructed, standalone pedestrian tracking can be very daunting. Users in such obstructed environments (especially in home environments) will find it difficult to perform on-site navigation. It is important to create a standalone pedestrian tracking system that provides better location determination services with less computational complexity and deployment cost. One promising way to implement this service is through the use of Inertial Measurement Unit (IMU) sensors. This tracking method provides the pinpointing of standalone tracking information but is handicapped by missing stance phase during pedestrian walking activities. A new pedestrian stance detection using simultaneously localization and mapping (SLAM) will be designed in this paper with a focus on robust indoor positioning systems. We will present our preliminary results to illustrate the performance of the system for an indoor environment set-up at the end of this paper.
Emergency Rescue Localization (ERL) using GPS, Wireless LAN and Camera
Wan Mohd Yaakob Wan Bejuri,Mohd Murtadha Mohamad,Raja Zahilah Raja Mohd Radzi 보안공학연구지원센터 2015 International Journal of Software Engineering and Vol.9 No.9
Congestion avoidance in emergency situations is among one of many overlooked localization issues. During emergency situations (such as fires), sometimes the rescuers find it hard to find the best exit route from the inside to the outside of a building. Any time delay in decision making will risk the loss of lives. Therefore, an efficient Emergency Rescue Localization (ERL) system is needed to help rescuers find the best route from the inside to the outside of a building. Thus, we propose a new ERL that is based on the integration of a Global Positioning System (GPS), Wireless LAN and camera. In this proposed ERL, the integrated Wireless LAN (WLAN) and Camera are used to retrieve location information inside a building. Then, localization methods will be adapted to GPS-based localization when subjects are in open areas outside the building. Finally, we present our experimental results to illustrate the performance of the localization system for indoor and outdoor environment set-up.