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Kenta Hidaka,Haoyu Qin,Jun Kobayashi 제어로봇시스템학회 2017 제어로봇시스템학회 국제학술대회 논문집 Vol.2017 No.10
Emotion elicitation experiments are conducted to collect biological signals from a subject who is in a state of emotion. The recorded signals are used as training/test dataset for constructing an emotion recognition system by means of machine learning. In conventional emotion elicitation experiments, affective images or videos were provided for a subject to draw out an emotion from them. However, the authors have concerns about the effectiveness. To surely evoke a specific emotion from subjects, we have produced several Virtual Reality (VR) scenes and provided the subjects with the scenes through a Head Mount Display (HMD) in emotion elicitation experiments. Usability and effectiveness of the VR scenes with the HMD for emotion elicitation were experimentally verified. It was confirmed that experience of the VR scenes with the HMD was effective in evoking emotions, but we have to improve how subjects learn a way of playing VR scenes and provide measures against VR sickness at any cost. Moreover, Support Vector Machine classifiers as an emotion recognition system were constructed using the biological signals measured from the subjects in the emotion elicitation experiments.
( Xiaoyan Yang ),( Hui Jin ),( Lihong Xu ),( Haiyan Cui ),( Aiyi Xin ),( Haoyue Liu ),( Bo Qin ) 한국미생물 · 생명공학회 2020 Journal of microbiology and biotechnology Vol.30 No.7
Stipa purpurea is a unique and dominant herbaceous plant species in the alpine steppe and meadows on the Qinghai-Tibet Plateau (QTP). In this work, we analyzed the composition and diversity of the culturable endophytic fungi in S. purpurea according to morphological and molecular identification. Then, we investigated the bioactivities of these fungi against plant pathogenic fungi and 1- aminocyclopropane-1-carboxylate deaminase (ACCD) deaminase activities. A total of 323 fungal isolates were first isolated from S. purpurea, and 33 fungal taxa were identified by internal transcribed spacer primers and grouped into Ascomycota. The diversity of endophytic fungi in S. purpurea was significantly higher in roots as compared to leaves. In addition, more than 40% of the endophytic fungi carried the gene encoding for the ACCD gene. The antibiosis assay demonstrated that 29, 35, 28, 37 and 34 isolates (43.9, 53.1, 42.4, 56.1, and 51.5%) were antagonistic to five plant pathogenic fungi, respectively. Our study provided the first assessment of the diversity of culturedepending endophytic fungi of S. purpurea, demonstrated the potential application of ACCD activity and antifungal activities with potential benefits to the host plant, and contributed to high biomass production and adaptation of S. purpurea to an adverse environment.