4 papers · 1 filter
Sensor Calibration Model Balancing Accuracy, Real-time, and Efficiency
Jinyong Yun, Hyungjin Kim, Seokho Ahn +2
Most on-device sensor calibration studies benchmark models only against three macroscopic requirements (i.e., accuracy, real-time, and resource efficiency), thereby hiding deployme…
Stochastic Deep Graph Clustering for Practical Group Formation
Junhyung Park, Hyungjin Kim, Seokho Ahn +1
While prior work on group recommender systems (GRSs) has primarily focused on improving recommendation accuracy, most approaches assume static or predefined groups, making them uns…
SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life
Seokho Ahn, Hyungjin Kim, Euijong Lee +1
The collection of accurate and noise-free data is a crucial part of Internet of Things (IoT)-controlled environments. However, the data collected from various sensors in daily life…
Real-time Calibration Model for Low-cost Sensor in Fine-grained Time series
Seokho Ahn, Hyungjin Kim, Sungbok Shin +1
Precise measurements from sensors are crucial, but data is usually collected from low-cost, low-tech systems, which are often inaccurate. Thus, they require further calibrations. T…