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There are a diverse set of products for a particular type on the internet. When any user tries to find out best product among a certain type it is very much difficult to do it manually go through every one of them. That's why manually searching is not very efficient. In that scenario, recommendation system plays a great important role to recommend the best products. In this study, we develop a recommendation...
In recent days, demands for public safety services have increased because of increased crimes. This paper proposes multi-log analysis platform (M-LAP) for supporting public safety service. The M-LAP gathers image and sensor data of people, objects, and places, and then analyzes the data for detecting and predicting dangerous situations. The M-LAP also provides protectors (e.g., police officer) and...
Innovative wellness gadgets are the products of convergence of science and technology in this dynamic digital era. It has not been possible before to provide just-in-time intervention to avoid unhealthy behavior. The change in behavior requires the understanding of the behavior theories and then practical implementation of the stages. Transtheoretical model supports to identify the stage of human...
This work considers the social link prediction problem in the human community. Since mobile phones with the support of wireless technologies have become an integral part of human life, mining the traces of mobile devices can help us to understand the community structure in the social network. Therefore, an encounter-based link prediction method in which we try to analyze the social relationship between...
Recently, utilization of position information by global navigation satellite system (GNSS) is expected in various fields. However, it's difficult to show unambiguously accuracy since positioning accuracy varies by measurement environment. We bring sky view factor (SVF) to evaluation of positioning accuracy, and evaluate it positioning accuracy of long time data in the places where SVF are high or...
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