http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
실시간 감정인식을 위한 파형 단위 PPG 신호 Labeling 기법
이하늘,강동현,김덕환 한국차세대컴퓨팅학회 2021 한국차세대컴퓨팅학회 학술대회 Vol.2021 No.05
Real-time emotion recognition technology is required for human-robot interaction. There is a method using the Somatic Nervous System (SNS). The PPG signal, which is easy to acquire data and can be used by dividing it into pulse units, is easy for real-time emotion recognition. However, each pulse label is the most important factor in segmenting and using the short-term 1-second to 3-second PPG signal. However, DEAP and MAHNOB-HCI are public bio-signal data, but DEAP Dataset only provides Self-Assessment Labeling for emotion-inducing videos of 60 seconds. The MAHNOB-HCI Database provides Annotation Labeling in which the observer sees the frontal image of the subject's face and measures emotion in real-time. Annotation labeling is effective to split the labels of PPG signals by pulse units. As a result of the experiment, Arousalbased positives 2415/neutral 3884/negative 4201, Valence-based positives 3570/neutral 2835/negative 4095.labels were drived. Annotation labeling allows us to check the emotions of participants in various distributions for 60 seconds. Analyzing the label setting and data preprocessing process contributes to improving short-term real-time emotion recognition.
이하늘,이주희,Yoo Kyung Kang,이주훈,양승주,정현정 한국바이오칩학회 2022 BioChip Journal Vol.16 No.4
We introduce a lateral flow assay (LFA) integrated with a modified isothermal nucleic acid amplification procedure for rapid and simple genetic testing. Padlock probes specific for the target DNA were designed for ligation, followed by rolling circle amplification (RCA) using capture ligand-modified oligonucleotides as primers. After hybridization with detection linker probes, the amplified target DNA is flowed through an LFA membrane strip for binding of gold nanoparticles as the substrate for colorimetric detection. We established and validated the “RCA-LFA” method for detection of mecA, the antibiotic resistance gene for methicillin-resistant Staphylococcus aureus (MRSA). The assay was optimized using various concentrations of primers and probes for RCA and LFA, respectively. The sensitivity was determined by performing RCA-LFA using various amounts of mecA target DNA, showing a detection limit of ~ 1.3 fmol. The specificity of the assay was examined using target DNAs for other resistance genes as the controls, which demonstrated positive detection signals only for mecA DNA, when added either individually or in combinations with the control targets. Furthermore, applying the RCA-LFA method using specifically designed probes for RNA-dependent RNA polymerase (RdRp) and receptor binding domain (RBD) gene for SARS-CoV-2, which demonstrated feasibility of the method for viral gene targets. The current method suggests a useful platform which can be universally applied for various nucleic acid targets, allowing rapid and sensitive diagnosis at point-of-care.
활성화함수와 학습노드 진행 변화에 따른 건축 공사비 예측성능 분석
이하늘,윤석헌 한국BIM학회 2022 KIBIM Magazine Vol.12 No.2
It is very important to accurately predict construction costs in the early stages of the construction project. However, it is difficult to accurately predict construction costs with limited information from the initial stage. In recent years, with the development of machine learning technology, it has become possible to predict construction costs more accurately than before only with schematic construction characteristics. Based on machine learning technology, this study aims to analyze plans to more accurately predict construction costs by using only the factors influencing construction costs. To the end of this study, the effect of the error rate according to the activation function and the node configuration of the hidden layer was analyzed.