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RISS 인기검색어
- 검색키워드
- 저자 : ( Wei-tsang Huang ) (검색결과 2 건)
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Feasibility of using Machine to Learn & Analyze Brainwave Signal for Establishing Emotional System
( Wei-tsang Huang ),( Xiang-guan Deng ),( Chun-yu Tsai ),( Chyung Ay ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1
「Emotion」 is a kind of psychological experience with delight, anger, sorrow, happiness and fear. This kind of experience is a reflection of ordinary people toward the attitude of objective matters. However, it is not an easy thing to see the emotion of inner heart from the appearance and change in eye or different kind of limb expression. This study is to concretize and digitize the various emotional changes of abstract conception through the brainwave analysis, and become a real-time emotional scale. As classified form the analysis and measured data, it is used as the reference standard for assessing emotion. The experiment is implemented by selecting three (3) different emotional categories of films respectively, including three (3) emotions i.e. scared, happy and inspiring emotions and editing as the visual samples, and let the subjects wearing the electroencephalograph (EEG) instrument of Emotiv EPOC with 14 channels on their heads, and use the Python program for writing to perform the measurement together with the EGG measuring system, after transforming the measured brainwave through the fast Fourier, record the energy change of each band, access the experiment data, find out the change of each band at the regular mood swings, derive the emotional conversion formula for quantification, classify the size of emotional changes, and then make the real-time scale of emotion to show the results. In addition, when the different machine learns and analyzes the test samples, it is found when analyze the T7 channel of brainwave detecting point, the success rate of highest test sample is approximately 58%, the success rate of other channels is over 50%, the more suitable operation mode will be found out in the future, and allow the emotional recognition technology can be used in the life.
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Shear behavior of reinforced HPC beams made of a low cement content without shear reinforcements
Chao-Wei Tang,Yu-Ping Chen,How-Ji Chen,Chung-Ho Huang,Tsang-Hao Liu 사단법인 한국계산역학회 2013 Computers and Concrete, An International Journal Vol.11 No.1
High-performance concrete (HPC) usually has higher paste and lower coarse aggregate volumes than normal concrete. The lower aggregate content of HPC can affect the shear capacity of concrete members due to the formation of smooth fractured surfaces and the subsequent development of weak interface shear transfer. Therefore, an experimental investigation was conducted to study the shear strength and cracking behavior of full-scale reinforced beams made with low-cement-content high-performance concrete (LcHPC) as well as conventional HPC. A total of fourteen flexural reinforced concrete (RC) beams without shear reinforcements were tested under a two-point load until shear failure occurred. The primary design variables included the cement content, the shear span to effective depth ratio (a/d), and the tensile steel ratio (ρw). The results indicate that LcHPC beams show comparable behaviors in crack and ultimate shear strength as compared with conventional HPC beams. Overall, the shear strength of LcHPC beams was found to be larger than that of corresponding HPC beams, particularly for an a/d value of 1.5. In addition, the crack and ultimate shear strength increased as a/d decreased or ρw increased for both LcHPC beams and HPC beams. This investigation established that LcHPC is recommendable for structural concrete applications.
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