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박규섭 ( Kyu Sup Park ),장영수 ( Young Soo Jang ),최병희 ( Byoung Hee Choi ),강병근 ( Byung Kuen Kang ),김해수 ( Hae Soo Kim ),최상호 ( Sang Ho Choi ),홍준표 ( Chun Pyo Hong ) 한국주조공학회 2012 한국주조공학회지 Vol.32 No.2
Recently, development of Al-based alloys for high mechanical performance has been an important issue in automotive industry. The present study focused on the design of a high strength Al-based alloy for rheo-diecasting. The research was based on thermodynamic calculation and experimentals to optimize the alloy compositions. Two important considerations were carried out: i) to obtain uniform slurry with fine and globular microstructures for rheo-diecasting, ii) to be strengthend by T6 heat treatment. In order to evaluate the effect of Si content on the slurry microstructure and castability, thermodynamic calculation and fluidity test were carried out. The effects of various alloying components, such as Mg, Cu and Zn, on age hardenability were also investigated. The mechanical properties of the rheo-diecasting products using the newly developed alloy are 324MPa in tensile strength, 289MPa in yield strength, and 11.2% in elongation after T6 heat treatment.
CNN기초로 세 가지 방법을 이용한 감정 표정 비교분석
양창희,박규섭,김영섭,이용환,Yang, Chang Hee,Park, Kyu Sub,Kim, Young Seop,Lee, Yong Hwan 한국반도체디스플레이기술학회 2020 반도체디스플레이기술학회지 Vol.19 No.4
CNN's technologies that represent emotional detection include primitive CNN algorithms, deployment normalization, and drop-off. We present the methods and data of the three experiments in this paper. The training database and the test database are set up differently. The first experiment is to extract emotions using Batch Normalization, which complemented the shortcomings of distribution. The second experiment is to extract emotions using Dropout, which is used for rapid computation. The third experiment uses CNN using convolution and maxpooling. All three results show a low detection rate, To supplement these problems, We will develop a deep learning algorithm using feature extraction method specialized in image processing field.