Heesuk Son

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This paper presents a distributed smart home middleware where each appliance is able to learn user behavior and customize their actions by themselves as well as cooperate with other appliances through a more light-weight smart home gateway. As the key components, we present a knowledge base which describes common- and appliance-specific concepts in a smart(More)
Many household appliances draw standby power, which can be reduced to save total energy consumption of a household. Smart plugs are proposed for effectively reducing standby power of an appliance by monitoring and cutting power when the appliance is no longer in use. However, the level of intelligence it leverages is minimal such that it still requires a(More)
Since the Web of Things (WoT) term was first proposed, there has a big trend in IT vendors providing users with various services through their smart products. To enable users to discover and leverage these services, SDPs play an important role. However, so many variations of SDPs have been introduced it has caused a heterogeneity issue. Including(More)
As Internet of Things advances, various smart objects and services permeate in our living environment. Due to their dynamic join/leave behaviors, service discovery protocols (SDPs) have been proposed. As new SDPs are introduced and legacy SDPs evolve, the incompatible islands of smart objects inevitably arise. To solve this issue, many research works are(More)
Users want IoT environments to provide them with personalized support. These environments therefore need to be able to learn user preferences, such as what temperature the room should be or which lights should be turned on. We propose a novel system that separates the tasks of learning a user's preferences and realizing them within the environment. The(More)
We present a generic framework for group activity recognition using simple non-obtrusive sensors. The proposed scheme is based on that group activity patterns can be derived from mining interval-based relationships between users' temporally overlapped actions. We leverage a hybrid architecture of probabilistic and logic knowledge that can capture the(More)
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