This paper presents a new image encryption scheme by using a four-dimensional hyperchaotic system and adopting permutation-diffusion architecture. The initial conditions of the hyperchaotic system are modified by the 256-bit digest of the plain image to increase the sensitivity of the cipher to the plain image. An enhanced nonlinear equation is applied in the diffusion process for the better encryption result. The experiment results show that the proposed scheme has large key and subkey space, high key sensitivity, good information entropy, and capability to resist statistical and differential attacks.
{"title":"A New Image Encryption Scheme Based on Hyperchaotic System and SHA-2","authors":"K. Wong, W. Yap, B. Goi, D. C. Wong","doi":"10.1145/3529570.3529594","DOIUrl":"https://doi.org/10.1145/3529570.3529594","url":null,"abstract":"This paper presents a new image encryption scheme by using a four-dimensional hyperchaotic system and adopting permutation-diffusion architecture. The initial conditions of the hyperchaotic system are modified by the 256-bit digest of the plain image to increase the sensitivity of the cipher to the plain image. An enhanced nonlinear equation is applied in the diffusion process for the better encryption result. The experiment results show that the proposed scheme has large key and subkey space, high key sensitivity, good information entropy, and capability to resist statistical and differential attacks.","PeriodicalId":430367,"journal":{"name":"Proceedings of the 6th International Conference on Digital Signal Processing","volume":"43 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":"133952342","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}
In this paper, based on minimum complex Shannon entropy (MCSE), a novel widely linear complex-valued estimated-input MCSE (WLC-EIMCSE) algorithm is proposed, which can not only make unbiased estimation in the environment where the input signal has noise, but also show superiority over WLC-EILMS and WLC-EIMCCC in the non-Gaussian noise whose output noise is bimodal Gaussian distribution with non-zero mean. The convergence of the proposed algorithm is analyzed, and the simulation of system identification verifies its superiority.
{"title":"Bias-Compensated MCSE Algorithm for Widely Linear Complex-Valued Adaptive Filtering with Noisy Inputs","authors":"Si-Syuan Huang, Guobing Qian","doi":"10.1145/3529570.3529610","DOIUrl":"https://doi.org/10.1145/3529570.3529610","url":null,"abstract":"In this paper, based on minimum complex Shannon entropy (MCSE), a novel widely linear complex-valued estimated-input MCSE (WLC-EIMCSE) algorithm is proposed, which can not only make unbiased estimation in the environment where the input signal has noise, but also show superiority over WLC-EILMS and WLC-EIMCCC in the non-Gaussian noise whose output noise is bimodal Gaussian distribution with non-zero mean. The convergence of the proposed algorithm is analyzed, and the simulation of system identification verifies its superiority.","PeriodicalId":430367,"journal":{"name":"Proceedings of the 6th International Conference on Digital Signal Processing","volume":"474 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":"134094988","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}
This paper proposes to model and simulate the radio frequency interference (RFI), especially the narrowband RFI and the wideband RFI, for the high-frequency over-the-horizon (OTH) radar. Based on the theories of random process and linear filtering, the proposed models uses the white Gaussian noise as the input of a linear filter, so that the output is a random process with small bandwidth. In the filter design, seven kinds of response functions are proposed for the convolution method, and four sets of coefficients are proposed for the auto-regressive and moving-average method. Besides, extended approaches are also provided to increase the diversity of the RFI simulation. Numerical experiments demonstrate that the proposed methods can simulate most range-Doppler maps of real RFI.
{"title":"Modeling and Simulation of Radio Frequency Interference for High-Frequency OTH Radar","authors":"Tao Wang, Zhongtao Luo, Zhaoyi Wang","doi":"10.1145/3529570.3529611","DOIUrl":"https://doi.org/10.1145/3529570.3529611","url":null,"abstract":"This paper proposes to model and simulate the radio frequency interference (RFI), especially the narrowband RFI and the wideband RFI, for the high-frequency over-the-horizon (OTH) radar. Based on the theories of random process and linear filtering, the proposed models uses the white Gaussian noise as the input of a linear filter, so that the output is a random process with small bandwidth. In the filter design, seven kinds of response functions are proposed for the convolution method, and four sets of coefficients are proposed for the auto-regressive and moving-average method. Besides, extended approaches are also provided to increase the diversity of the RFI simulation. Numerical experiments demonstrate that the proposed methods can simulate most range-Doppler maps of real RFI.","PeriodicalId":430367,"journal":{"name":"Proceedings of the 6th International Conference on Digital Signal Processing","volume":"41 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":"131936418","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}
∗ In this paper, an English teaching robot is developed for teaching English words for Japanese students. The robot makes full use of multiple English teaching skills to make the students understand and remember the words easily, like explaining the words from its etymology, showing some synonym words and explaining the words as well as showing a related image. The robot can also detect the status of the students and adjust its teaching strategies through effective interactions. The effectiveness of our developed robot is proven by conducting new words teaching lessons.
{"title":"Development of an English Teaching Robot for Japanese Students","authors":"Bin Zhang, Taichi Hirano, Hun-ok Lim","doi":"10.1145/3529570.3529578","DOIUrl":"https://doi.org/10.1145/3529570.3529578","url":null,"abstract":"∗ In this paper, an English teaching robot is developed for teaching English words for Japanese students. The robot makes full use of multiple English teaching skills to make the students understand and remember the words easily, like explaining the words from its etymology, showing some synonym words and explaining the words as well as showing a related image. The robot can also detect the status of the students and adjust its teaching strategies through effective interactions. The effectiveness of our developed robot is proven by conducting new words teaching lessons.","PeriodicalId":430367,"journal":{"name":"Proceedings of the 6th International Conference on Digital Signal Processing","volume":"11 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":"115182386","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}
Reconstruct 3D model from 2D image is an important task in the field of deep learning, which aims to make computers have the ability to perceive the 3D world like human-beings. In this paper, a lightweight method is proposed for 3D face reconstruction from a single image without any supervision. Specifically, our method employs encoder-decoder architectures to extract depth map, light condition, transformation matrix and albedo from input image. According to the principle of rendering, we can obtain the connection between 2D image coordinates and 3D model vertices coordinates, using the above elements, we can get the projection image of the reconstructed model. Then the reconstruction loss can be used to optimize the network parameters. Experiments show that our method surpasses the previous work in reconstruction speed and the size of model.
{"title":"Unsupervised Lightweight Face 3D Reconstruction From a Single Uncalibrated Image","authors":"Yuhang Shi, Huan Jin, Dapeng Tao","doi":"10.1145/3529570.3529599","DOIUrl":"https://doi.org/10.1145/3529570.3529599","url":null,"abstract":"Reconstruct 3D model from 2D image is an important task in the field of deep learning, which aims to make computers have the ability to perceive the 3D world like human-beings. In this paper, a lightweight method is proposed for 3D face reconstruction from a single image without any supervision. Specifically, our method employs encoder-decoder architectures to extract depth map, light condition, transformation matrix and albedo from input image. According to the principle of rendering, we can obtain the connection between 2D image coordinates and 3D model vertices coordinates, using the above elements, we can get the projection image of the reconstructed model. Then the reconstruction loss can be used to optimize the network parameters. Experiments show that our method surpasses the previous work in reconstruction speed and the size of model.","PeriodicalId":430367,"journal":{"name":"Proceedings of the 6th International Conference on Digital Signal Processing","volume":"104 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":"128256271","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}
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.
{"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}
In this paper, a panda-type robot is developed which can generate different emotions responding to the emotions of the user and its self-conscious. User emotion recognition is realized by fusing multiple information from the user, including facial expressions, voice emotions and touching forces. The panda-type robot generates and expresses its emotion by integrating recognized users’ emotion and its self-conscious feelings. The effectiveness of the proposed system is confirmed by continuous interaction experiments.
{"title":"Emotion Generation System Based on Users’ Emotion and Self-conscious for a Panda-type Robot","authors":"Bin Zhang, Zhan Chen, Hun-ok Lim","doi":"10.1145/3529570.3529575","DOIUrl":"https://doi.org/10.1145/3529570.3529575","url":null,"abstract":"In this paper, a panda-type robot is developed which can generate different emotions responding to the emotions of the user and its self-conscious. User emotion recognition is realized by fusing multiple information from the user, including facial expressions, voice emotions and touching forces. The panda-type robot generates and expresses its emotion by integrating recognized users’ emotion and its self-conscious feelings. The effectiveness of the proposed system is confirmed by continuous interaction experiments.","PeriodicalId":430367,"journal":{"name":"Proceedings of the 6th International Conference on Digital Signal Processing","volume":"31 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":"127075915","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}
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.
基于随机傅立叶特征的核风险敏感损失(RFFKRSL)是在随机傅立叶特征空间中发展起来的一种流行的非线性自适应滤波算法。该算法最吸引人的特点是不会像众所周知的核自适应滤波算法那样引起网络结构线性增加的问题，同时能够抑制非高斯噪声带来的负面影响。然而，随机梯度下降法(SGD)是确定RFFKRSL滤波系数的默认选择，这在很多情况下会导致算法的收敛性能不理想。为了解决这一问题，采用了自适应矩估计(Adam)及其扩展版本Nesterov-accelerated Adam (Nadam)两种优化技术来重新推导RFFKRSL。为简单起见，本文提出的两种算法分别命名为RFFKRSL with Adam (AdamRFFKRSL)和RFFKRSL with Nadam (NadamRFFKRSL)。虽然Adam和Nadam是基于深度神经网络的学习方法中常见的两种方法，但它们在自适应滤波中的应用并不多见，它们与RFFKRSL的结合可能为用SGD方法构建的非线性自适应滤波算法的设计开辟了一条新的途径。通过对两个时间序列预测任务的仿真，证明了所提算法的良好性能。
{"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}
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.
{"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}
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