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Detecting smartphone user habits using sequential pattern analysis
Lu Dang Nhac,Nguyen Thu Trang,Nauyen Thi Hau,Nguyen Ha Nam,Gyoo Seok Choi 한국인터넷방송통신학회 2015 International Journal of Internet, Broadcasting an Vol.7 No.1
Recently, the study of smart phone user habits has become a highly focused topic due to the rapid growth of the smart phone market. Indeed, sequential pattern analysis methods were efficiently used for web-based user habit mining long time ago. However, by means of simulations, it has been observed that these methods might fail for smart phone-based user habit mining. In this paper, we propose a novel approach that leads to a considerably increased performance of the traditional sequential pattern analysis methods by reasonably cutting off each chronological sequence of user logs on a device into shorter ones, which represent the sequential user activities in various periods of a day.
A Hybrid Method Based on Genetic Algorithm and Ant Colony System for Traffic Routing Optimization
Thi-Hau Nguyen,Ha-Nam Nguyen,Dang-Nhac Lu,Duc-Nhan Nguyen International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.8
The Ant Colony System (ACS) is a variant of Ant colony optimization algorithm which is well-known in Traveling Salesman Problem. This paper proposed a hybrid method based on genetic algorithm (GA) and ant colony system (ACS), called GACS, to solve traffic routing problem. In the GACS, we use genetic algorithm to optimize the ACS parameters that aims to attain the shortest trips and time through new functions to help the ants to update global and local pheromones. Our experiments are performed by the GACS framework which is developed from VANETsim with the ability of real map loading from open street map project, and updating traffic light in real-time. The obtained results show that our framework acquired higher performance than A-Star and classical ACS algorithms in terms of length of the best global tour and the time for trip.