S
Sang ug Kang
Researcher at Sangmyung University
Publications - 3
Citations - 169
Sang ug Kang is an academic researcher from Sangmyung University. The author has contributed to research in topics: Information privacy & Information sensitivity. The author has an hindex of 2, co-authored 2 publications receiving 38 citations.
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Bi-LSTM Model to Increase Accuracy in Text Classification: Combining Word2vec CNN and Attention Mechanism
TL;DR: An attention-based Bi-LSTM+CNN hybrid model that capitalize on the advantages of LSTM and CNN with an additional attention mechanism is proposed that produces more accurate classification results, as well as higher recall and F1 scores, than individual multi-layer perceptron (MLP), CNN or L STM models as the hybrid models.
Journal ArticleDOI
Effective Privacy-Preserving Collection of Health Data from a User’s Wearable Device
TL;DR: The experimental results show that the proposed sampling-based collection scheme achieves significant improvement in the estimated accuracy when compared with straightforward solutions, and verify that an effective tradeoff between the level of privacy protection and the accuracy of aggregate statistics can be achieved with the proposed approach.
Multiobjective Metaheuristic Load Control Algorithm for Interaction between Smart Home and Humans
Hao Chi,Sang ug Kang +1 more
TL;DR: In this article , a multiobjective smart house human-computer interaction load control method is proposed to meet the goal of lowering power usage and pricing in smart home load control, which includes marginal costs and establishes an electricity price model that takes the load rate into account.