[[abstract]]RFID location systems are often used in real-time location systems that come up with the problems like multipath phenomenon and layout changing. These make locating difficult because most of the location systems are based on fixed mathematical calculation that cannot take these situations into account. Using artificial neural network, our location scheme can learn the geography features to adapt to the real world. It could avoid multipath phenomenon effect and be flexibly applied to any environment. The experimental processes and result are shown in the end of the pape
radio frequency or magnetic field variation for communication between a tag or transponder and a rea...
Short range wireless technologies such as WLAN, Bluetooth, RFID, ultrasound and IrDA can be used to ...
Deep learning has started to revolutionize several different industries, and the applications of the...
Radio frequency identification (RFID) technology is used for asset tracking due to its accuracy and ...
The main purpose of this research is to improve localization accuracy of an active Radio Frequency I...
Passive radio frequency identification (RFID) systems are revolutionizing the indoor positioning and...
Radio frequency identification (RFID) applications have grown rapidly in many industries, especially...
With the development of social services, people’s living standards improve further requirements, the...
The purpose of this research is to find an optimal number and configuration of readers in RFID based...
AbstractRadio Frequency Identification (RFID) technology is broadly deployed for improving trade and...
One of the ways to improve calculations related to determining the position of a node in the IoT mea...
Abstract- Location awareness is important in health care. One way of generating this is a low-freque...
Location awareness is important in health care. One way of generating this is a low-frequency radio ...
Radio frequency signals are present everywhere and almost at any time, from GSM mobile phones to wir...
Radio Frequency Identification (RFID) is an information exchange technology based on radio waves com...
radio frequency or magnetic field variation for communication between a tag or transponder and a rea...
Short range wireless technologies such as WLAN, Bluetooth, RFID, ultrasound and IrDA can be used to ...
Deep learning has started to revolutionize several different industries, and the applications of the...
Radio frequency identification (RFID) technology is used for asset tracking due to its accuracy and ...
The main purpose of this research is to improve localization accuracy of an active Radio Frequency I...
Passive radio frequency identification (RFID) systems are revolutionizing the indoor positioning and...
Radio frequency identification (RFID) applications have grown rapidly in many industries, especially...
With the development of social services, people’s living standards improve further requirements, the...
The purpose of this research is to find an optimal number and configuration of readers in RFID based...
AbstractRadio Frequency Identification (RFID) technology is broadly deployed for improving trade and...
One of the ways to improve calculations related to determining the position of a node in the IoT mea...
Abstract- Location awareness is important in health care. One way of generating this is a low-freque...
Location awareness is important in health care. One way of generating this is a low-frequency radio ...
Radio frequency signals are present everywhere and almost at any time, from GSM mobile phones to wir...
Radio Frequency Identification (RFID) is an information exchange technology based on radio waves com...
radio frequency or magnetic field variation for communication between a tag or transponder and a rea...
Short range wireless technologies such as WLAN, Bluetooth, RFID, ultrasound and IrDA can be used to ...
Deep learning has started to revolutionize several different industries, and the applications of the...