In recent years, research into blockchain technology and the Internet of Things (IoT) has grown r... more In recent years, research into blockchain technology and the Internet of Things (IoT) has grown rapidly due to an increase in media coverage. Many different blockchain applications and platforms have been developed for different purposes, such as food safety monitoring, cryptocurrency exchange, and secure medical data sharing. However, blockchain platforms cannot store all the generated data. Therefore, they are supported with data warehouses, which in turn is called a hybrid blockchain platform. While several systems have been developed based on this idea, a current state-of-the-art systematic overview on the use of hybrid blockchain platforms is lacking. Therefore, a systematic literature review (SLR) study has been carried out by us to investigate the motivations for adopting them, the domains at which they were used, the adopted technologies that made this integration effective, and, finally, the challenges and possible solutions. This study shows that security, transparency, an...
This paper explores the minimal data-set to be collected from vehicles, to efficiently score driv... more This paper explores the minimal data-set to be collected from vehicles, to efficiently score drivers, using common vehicle sensors. This can lead to important results for insurance companies, advertisements and personalization. Existing work relies on several sensor information that are collected over a drive including acceleration/deceleration patterns or average trip duration. Vehicular companies make vehicular sensor information available to many external services. To explore how to score driving behaviors from such a data, we consider a system that interfaces to vehicle bus and executes supervised learning methods on this data. To facilitate this analysis, we collect in vehicle data from 20 drivers on a test route and have less than %10 error in our scoring algorithm.
In recent years, research into blockchain technology and the Internet of Things (IoT) has grown r... more In recent years, research into blockchain technology and the Internet of Things (IoT) has grown rapidly due to an increase in media coverage. Many different blockchain applications and platforms have been developed for different purposes, such as food safety monitoring, cryptocurrency exchange, and secure medical data sharing. However, blockchain platforms cannot store all the generated data. Therefore, they are supported with data warehouses, which in turn is called a hybrid blockchain platform. While several systems have been developed based on this idea, a current state-of-the-art systematic overview on the use of hybrid blockchain platforms is lacking. Therefore, a systematic literature review (SLR) study has been carried out by us to investigate the motivations for adopting them, the domains at which they were used, the adopted technologies that made this integration effective, and, finally, the challenges and possible solutions. This study shows that security, transparency, an...
This paper explores the minimal data-set to be collected from vehicles, to efficiently score driv... more This paper explores the minimal data-set to be collected from vehicles, to efficiently score drivers, using common vehicle sensors. This can lead to important results for insurance companies, advertisements and personalization. Existing work relies on several sensor information that are collected over a drive including acceleration/deceleration patterns or average trip duration. Vehicular companies make vehicular sensor information available to many external services. To explore how to score driving behaviors from such a data, we consider a system that interfaces to vehicle bus and executes supervised learning methods on this data. To facilitate this analysis, we collect in vehicle data from 20 drivers on a test route and have less than %10 error in our scoring algorithm.
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Papers by Gorkem Kar