http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
A Survey on Synthetic Data Generation Approaches
Udurume Miracle(미라클),Angela Caliwag(안젤라),Wansu Lim(임완수) 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.6
Experiments based synthetic data has proven to be very effective in simulation models, scientific studies and research purpose. Using several approaches, flexibility and accuracy can be obtained. Synthetic data generation is very useful in cases of limited data availability. This includes cases at which data is available but protected under certain confidentiality by private data collectors and not made available for research purposes. This paper presents a brief survey on synthetic data generation and states some approaches that can be used to carry out synthetic data generation.
Real-Time State of Charge estimation of Li-Ion Battery Considering The Effect of State of Health
Adib M. Kamali(아딥),Angela Caliwag(안젤라),Donguk Kwon(권동욱),Wansu Lim(임완수) 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.2
Battery health estimation has an important role in safe operation and long-life battery. Battery health estimation can be represented as a battery State of charge (SOC) and state of health (SOH). The existing approach performs SOC without considering SOH effect which assumes that capacity always in the maximum value. This approach is lack of accuracy because capacity of battery degrades with aging not always same. Therefore, we propose SOC estimation considering the effect of SOH. The result shows the SOH adjusted the capacity value to improve SOC estimation accuracy. The experimental result is presented using battery management system C2000 and cloud computing.