Radio Frequency Identification (RFID) is wireless technology that has been designed to automatically identify tagged objects using a reader. Several applications of this technology have been introduced in past literat...Radio Frequency Identification (RFID) is wireless technology that has been designed to automatically identify tagged objects using a reader. Several applications of this technology have been introduced in past literature such as pet identification and luggage tracking which have increased the efficiency and effectiveness of each environment into which it was integrated. However, due to the ambiguous nature of the captured information with the existence of missing, wrong and duplicate readings, the wide-scale adoption of the architecture is limited to commercial sectors where the integrity of the observations can tolerate ambiguity. In this work, we propose an application of RFID to take the reporting of class attendance and to integrate a predictive classifier to extract high level meaningful information that can be used in diverse areas such as scheduling and low student retention. We conclude by providing an analysis of the core strengths and opportunities that exist for this concept and how we might extend it in future research.展开更多
This paper outlines research that explores a range of digitally-driven opportunities and challenges in seeking to get cities moving and functioning better;with a focus on the application of Artificial Intelligence and...This paper outlines research that explores a range of digitally-driven opportunities and challenges in seeking to get cities moving and functioning better;with a focus on the application of Artificial Intelligence and Blockchain technologies.The paper identifies specific potential applications and outlines where such technology can provide tangible benefits for the transport sector and the associated policy and management structures.Specific benefits explored include cost savings(such as digital payment mechanisms,virtual toll collection and congestion charging,capital deferment through greater network utilisation);time savings(from improved transport network operation and management processes);improved operations(such as real-time pay-as-you-drive systems with network differential pricing ability);improved safety(from less collisions and reduced impacts);improved user experience(such as improved platforms and automated payments for parking and bookings);and improved freight and logistics(such as secure storage of time-stamped travel-related data).The paper presents a set of industry partner-preferred use cases such as congestion management,road user pricing,asset management,mobility-as-a-service,and freight logistics.The paper outlines specific opportunities for Artificial Intelligence and Blockchain technology to provide value to transport agencies and service providers either individually or in combination.The paper highlights risks and rewards for the transport sector,including a further review of early findings from the application of such technologies in transport sectors around the world.This research has been developed with funding and support provided by Australia’s Sustainable Built Environment National Research Centre(SBEnrc)and its partners,and has been presented at the CIB World Building Congress 2019.展开更多
文摘Radio Frequency Identification (RFID) is wireless technology that has been designed to automatically identify tagged objects using a reader. Several applications of this technology have been introduced in past literature such as pet identification and luggage tracking which have increased the efficiency and effectiveness of each environment into which it was integrated. However, due to the ambiguous nature of the captured information with the existence of missing, wrong and duplicate readings, the wide-scale adoption of the architecture is limited to commercial sectors where the integrity of the observations can tolerate ambiguity. In this work, we propose an application of RFID to take the reporting of class attendance and to integrate a predictive classifier to extract high level meaningful information that can be used in diverse areas such as scheduling and low student retention. We conclude by providing an analysis of the core strengths and opportunities that exist for this concept and how we might extend it in future research.
文摘This paper outlines research that explores a range of digitally-driven opportunities and challenges in seeking to get cities moving and functioning better;with a focus on the application of Artificial Intelligence and Blockchain technologies.The paper identifies specific potential applications and outlines where such technology can provide tangible benefits for the transport sector and the associated policy and management structures.Specific benefits explored include cost savings(such as digital payment mechanisms,virtual toll collection and congestion charging,capital deferment through greater network utilisation);time savings(from improved transport network operation and management processes);improved operations(such as real-time pay-as-you-drive systems with network differential pricing ability);improved safety(from less collisions and reduced impacts);improved user experience(such as improved platforms and automated payments for parking and bookings);and improved freight and logistics(such as secure storage of time-stamped travel-related data).The paper presents a set of industry partner-preferred use cases such as congestion management,road user pricing,asset management,mobility-as-a-service,and freight logistics.The paper outlines specific opportunities for Artificial Intelligence and Blockchain technology to provide value to transport agencies and service providers either individually or in combination.The paper highlights risks and rewards for the transport sector,including a further review of early findings from the application of such technologies in transport sectors around the world.This research has been developed with funding and support provided by Australia’s Sustainable Built Environment National Research Centre(SBEnrc)and its partners,and has been presented at the CIB World Building Congress 2019.
