Iqbal H. Sarker

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Mobile phone can record various types of context data related to a user's phone call activities in its call log. Call log provides temporal context to modeling individual user's phone call response behavior, i.e., when a user accepts, rejects or misses an incoming call. In this paper, we explore the potentiality of phone call log as a context source to(More)
To avoid the problems of high complexity and low flexibility in Java based application Model–view–controller (MVC) framework is introduced to divide the whole application into model, view and controller, which can improve the software's reusability and flexibility. Java is one of the leading software development languages. However, the development model of(More)
Mobile or cellular phones can record various types of context data related to a user's phone call activities. In this paper, we present an approach to discovering individualized behavior rules for mobile users from their phone call records, based on the temporal context in which a user accepts, rejects or misses a call. One of the determinants of an(More)
Discovering temporal rules that capture an individual's phone call response behavior is essential to building intelligent individualized call interruption management system. The key challenge to discovering such temporal rules is identifying within a phone call log the <i>time boundaries</i> that delineate periods when an individual user rejects or accepts(More)
— The main goal of this research is to find a solution of Vehicle Routing Problem using genetic algorithms. The Vehicle Routing Problem (VRP) is a complex combinatorial optimization problem that belongs to the NP-complete class. Due to the nature of the problem it is not possible to use exact methods for large instances of the VRP. Genetic algorithms(More)
The electronic calendar usually serves as a personal organizer and is a valuable resource for managing daily activities or schedules of the users. Naturally, a calendar provides various contextual information about individual's scheduled events/appointments, e.g., meeting. A number of researchers have utilized such information to predict human behavior for(More)
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