Proceedings of the 6th International Conference on Digital Signal Processing最新文献_第4页

A New Image Encryption Scheme Based on Hyperchaotic System and SHA-2 基于超混沌系统和SHA-2的图像加密新方案

Proceedings of the 6th International Conference on Digital Signal Processing Pub Date : 2022-02-25 DOI: 10.1145/3529570.3529594

K. Wong, W. Yap, B. Goi, D. C. Wong

引用次数: 0

Bias-Compensated MCSE Algorithm for Widely Linear Complex-Valued Adaptive Filtering with Noisy Inputs 噪声输入下宽线性复值自适应滤波的偏置补偿MCSE算法

Proceedings of the 6th International Conference on Digital Signal Processing Pub Date : 2022-02-25 DOI: 10.1145/3529570.3529610

Si-Syuan Huang, Guobing Qian

引用次数: 0

Modeling and Simulation of Radio Frequency Interference for High-Frequency OTH Radar 高频OTH雷达射频干扰建模与仿真

Proceedings of the 6th International Conference on Digital Signal Processing Pub Date : 2022-02-25 DOI: 10.1145/3529570.3529611

Tao Wang, Zhongtao Luo, Zhaoyi Wang

引用次数: 0

Development of an English Teaching Robot for Japanese Students 日本学生英语教学机器人的研制

Proceedings of the 6th International Conference on Digital Signal Processing Pub Date : 2022-02-25 DOI: 10.1145/3529570.3529578

Bin Zhang, Taichi Hirano, Hun-ok Lim

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Unsupervised Lightweight Face 3D Reconstruction From a Single Uncalibrated Image 从单个未校准图像进行无监督轻量级面部3D重建

Proceedings of the 6th International Conference on Digital Signal Processing Pub Date : 2022-02-25 DOI: 10.1145/3529570.3529599

Yuhang Shi, Huan Jin, Dapeng Tao

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Research on the Application of Tibetan Costume Elements in CG Animation Creation 藏族服饰元素在CG动画创作中的应用研究

Proceedings of the 6th International Conference on Digital Signal Processing Pub Date : 2022-02-25 DOI: 10.1145/3529570.3529584

Yang Cao, Bingchao Qi, Qinyou Zhou

{"title":"Research on the Application of Tibetan Costume Elements in CG Animation Creation","authors":"Yang Cao, Bingchao Qi, Qinyou Zhou","doi":"10.1145/3529570.3529584","DOIUrl":"https://doi.org/10.1145/3529570.3529584","url":null,"abstract":"This paper studies from the perspective of combining the creation of modern CG (COMPUTER GRAPHICS) animation technology and carrying forward Tibetan culture. Extract the artistic characteristics of DiQing Tibetan culture from clothing elements, see the big from the small, carry forward Tibetan national culture and provide creative sources for animation art design. Tibetan clothing elements carry the Tibetan people's overall yearning and love for a better life and reflect their aesthetic consciousness. Through sorting and summarizing the traditional clothing with Tibetan characteristics, mask decoration in folk art and clothing elements related to religious culture, we can accumulate a lot of design inspiration for animation design and creation. According to the legend of kelsang flowers of DiQing Tibetan, show the real face and life scene of DiQing Tibetan. Refine the required modeling, reprocess some factors with artistic value, and sublimate them into artistic images. Then add appropriate dress elements according to the theme and composition. In the color view of Tibetan art, turbid colors and gray rarely appear. The common color systems are simple and simple colors such as red, yellow, blue, green and white color brings people a magnificent visual impact. This study will take the use of visual elements in Diqing Tibetan culture as the starting point in the future, Spread and inherit Tibetan visual elements in the form of animation and provide a beneficial exploration for Chinese minority traditional culture and modern animation creation.","PeriodicalId":430367,"journal":{"name":"Proceedings of the 6th International Conference on Digital Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128756022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Emotion Generation System Based on Users’ Emotion and Self-conscious for a Panda-type Robot 基于用户情感和自我意识的熊猫机器人情感生成系统

Proceedings of the 6th International Conference on Digital Signal Processing Pub Date : 2022-02-25 DOI: 10.1145/3529570.3529575

Bin Zhang, Zhan Chen, Hun-ok Lim

引用次数: 0

Random Fourier Features Based Kernel Risk Sensitive Loss Algorithm with Adaptive Moment Estimation Optimization Technology 基于随机傅立叶特征的核风险敏感损失自适应矩估计优化算法

Proceedings of the 6th International Conference on Digital Signal Processing Pub Date : 2022-02-25 DOI: 10.1145/3529570.3529574

Daili Wang, Yunfei Zheng, Peng Cai, Qiang Liu, Minglin Shen, Shiyuan Wang

{"title":"Random Fourier Features Based Kernel Risk Sensitive Loss Algorithm with Adaptive Moment Estimation Optimization Technology","authors":"Daili Wang, Yunfei Zheng, Peng Cai, Qiang Liu, Minglin Shen, Shiyuan Wang","doi":"10.1145/3529570.3529574","DOIUrl":"https://doi.org/10.1145/3529570.3529574","url":null,"abstract":"Random Fourier features based kernel risk sensitive loss (RFFKRSL) is a popular nonlinear adaptive filtering algorithm developed in the random Fourier features space. The most attractive feature of such algorithm is that it would not cause the issue of linearly increasing network structure like the well-known kernel adaptive filtering algorithms, while having the ability to curb the negative influence induced by non-Gaussian noises. The stochastic gradient descent (SGD) method, however, is a default choice to determine the filtering coefficients of RFFKRSL, which can result in an undesirable convergence performance of the algorithm in many cases. To address this issue, two alternative optimization technologies, including adaptive moment estimation (Adam) and its extended version, i. e., Nesterov-accelerated Adam (Nadam), have been adopted to re-derive RFFKRSL. For simplicity, the proposed two algorithms are named as RFFKRSL with Adam (AdamRFFKRSL) and RFFKRSL with Nadam (NadamRFFKRSL), respectively. Although Adam and Nadam are common to deep neural network based learning methods, their applications to adaptive filtering are seldom to be seen, and the combination of them with RFFKRSL may open a new way to design nonlinear adaptive filtering algorithms that have been built with SGD method. Simulations on two time series prediction tasks are reported to demonstrate the desirable performance of the proposed algorithms.","PeriodicalId":430367,"journal":{"name":"Proceedings of the 6th International Conference on Digital Signal Processing","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124719231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development of Multi-modal Physiological Signals Acquisition Platform and Its Application in Emotional Recognition Based on a Small Number of Samples 多模态生理信号采集平台的开发及其在小样本情绪识别中的应用

Proceedings of the 6th International Conference on Digital Signal Processing Pub Date : 2022-02-25 DOI: 10.1145/3529570.3529597

Xiaoqing Jiang, Cen Chen, Yue Zhao, Lihu Wang

{"title":"Development of Multi-modal Physiological Signals Acquisition Platform and Its Application in Emotional Recognition Based on a Small Number of Samples","authors":"Xiaoqing Jiang, Cen Chen, Yue Zhao, Lihu Wang","doi":"10.1145/3529570.3529597","DOIUrl":"https://doi.org/10.1145/3529570.3529597","url":null,"abstract":"Emotion is a typical psychological process with obvious physiological characteristics. Physiological signals are difficult to imitate and can reflect real emotions, so the research of emotion recognition based on physiological signals is necessary. Multi-modal physiological signals are complementary, which have better performance than single-modal signals in emotion recognition. Because traditional multi-modal physiological signals acquisition device is complex or not suitable for portable products development, a multi-modal physiological signals acquisition platform with simple structure is designed in this paper to collect heart rate, ECG and body temperature. 52 features are extracted from multi-modal physiological signals in time domain and Mutual Information Feature Selection (MIFS) method is used in feature selection to obtain subset with better recognizability. Support Vector Machine (SVM) model for classifying excited state in game scene and calm state in non-game scene is trained and tested based on 60 samples. The top emotion recognition rate is 80% when 19 features are selected. The experimental results show that the multi-modal physiological signals acquisition platform built in this paper is effective and the emotions of subject can be recognized in specific scenes based on a small number of samples.","PeriodicalId":430367,"journal":{"name":"Proceedings of the 6th International Conference on Digital Signal Processing","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116940885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0