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Inhibitory effect of luteolin on the odorant-induced cAMP level in HEK293 cells expressing the olfactory receptor.
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구례 지역과 화엄사의 차 문화에 관한 문헌 고찰
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White Electrofluorescence Switching from Electrochemically Convertible Yellow Fluorescent Dyad
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포인트 클라우드 데이터 기반 군집형 솔리드 건물 모델 자동 생성 기법
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Pharmacokinetic-pharmacodynamic analysis to evaluate the effect of moxifloxacin on QT interval prolongation in healthy Korean male subjects
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Towards Second-generation Smart Card-Based Authentication in Health Information Systems: The Secure Server Model
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중국 민족주의가 재현된뉴미디어 공연예술의 특성-2022 중국 동계올림픽 개막식 공연을 중심으로-
장춘량,이현석 한국만화애니메이션학회 2023 만화애니메이션연구 Vol.- No.73
The opening ceremony of the 2008 Beijing Summer Olympics showcased China’s ancient history and culture in a spectacular and grandiose manner, demonstrating cultural superiority and Chinese nationalism. However, the opening ceremony of the 2022 Beijing Winter Olympics, as directed by Zhang Yimou, promised a ‘special opening ceremony,’ and actively utilized new media to maximize visual effects, in addition to emphasizing Chinese nationalism. This study aims to analyze how Chinese nationalism is represented and articulated through the opening ceremony performance, and further examines the role of new media in cultural performances, focusing on the 2022 Beijing Winter Olympics. The research unfolds as follows: Firstly, it examines Chinese nationalism, focusing on its origins, functions, and ultimate aspirations. Secondly, it scrutinizes the representation of Chinese nationalism and the utilization of new media in the Olympic opening ceremony, centering on universalism within the Olympics. Thirdly, building on previous literature, it analyzes the official proceedings, cultural performances, and visuals of the 2022 Beijing Winter Olympics opening ceremony, with a central focus on ① national unity and diversity, ② modern representation of traditional culture, ③ showcasing cultural pride, ④ conveying nationalistic messages, and ⑤ the use of new media technology. 2022 Beijing Winter Olympics opening ceremony is delivering the universal emotions of the Olympics alongside a softened Chinese nationalism and cultural values more fantastically and immersively through new media art using large LED screens on the stage floor, vertical screens, lasers, AR, real-time motion capture, and projection mapping.
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Liu Dongmei,Ouyang Haibin,Li Steven,장춘량,Zhan Zhi-Hui 한국CDE학회 2023 Journal of computational design and engineering Vol.10 No.4
Because of the good performance of convolutional neural network (CNN), it has been extensively used in many fields, such as image, speech, text, etc. However, it is easily affected by hyperparameters. How to effectively configure hyperparameters at a reasonable time to improve the performance of CNNs has always been a complex problem. To solve this problem, this paper proposes a method to automatically optimize CNN hyperparameters based on the local autonomous competitive harmony search (LACHS) algorithm. To avoid the influence of complicated parameter adjustment of LACHS algorithm on its performance, a parameter dynamic adjustment strategy is adopted, which makes the pitch adjustment probability PAR and step factor BW dynamically adjust according to the actual situation. To strengthen the fine search of neighborhood space and reduce the possibility of falling into local optima for a long time, an autonomous decision-making search strategy based on the optimal state is designed. To help the algorithm jump out of the local fitting situation, this paper proposes a local competition mechanism to make the new sound competes with the worst harmonic progression of local selection. In addition, an evaluation function is proposed, which integrates the training times and recognition accuracy. To achieve the purpose of saving the calculation cost without affecting the search result, it makes the training time for each model depending on the learning rate and batch size. In order to prove the feasibility of LACHS algorithm in configuring CNN superparameters, the classification of the Fashion-MNIST dataset and CIFAR10 dataset is tested. The comparison is made between CNN based on empirical configuration and CNN based on classical algorithms to optimize hyperparameters automatically. The results show that the performance of CNN based on the LACHS algorithm has been improved effectively, so this algorithm has certain advantages in hyperparametric optimization. In addition, this paper applies the LACHS algorithm to expression recognition. Experiments show that the performance of CNN optimized based on the LACHS algorithm is better than that of the same type of artificially designed CNN. Therefore, the method proposed in this paper is feasible in practical application.
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