Proceedings of the 2019 3rd International Conference on Digital Signal Processing最新文献

Finger Motion Estimation Based on Sparse Multi-Channel Surface Electromyography Signals Using Convolutional Neural Network 基于稀疏多通道面肌电信号的卷积神经网络手指运动估计

Proceedings of the 2019 3rd International Conference on Digital Signal Processing Pub Date : 2019-02-24 DOI: 10.1145/3316551.3316572

K. Asai, Norio Takase

引用次数: 4

Parametrized Garment Pattern Manipulation for the Men's Suit 男装服装图案的参数化处理

Proceedings of the 2019 3rd International Conference on Digital Signal Processing Pub Date : 2019-02-24 DOI: 10.1145/3316551.3316575

Wonseop Lee, Hyeongseok Ko

引用次数: 2

Dynamic Fuzzy Inference System for Edge Detection of Stone Inscriptions 石刻边缘检测的动态模糊推理系统

Proceedings of the 2019 3rd International Conference on Digital Signal Processing Pub Date : 2019-02-24 DOI: 10.1145/3316551.3318231

Jie Song, Jie Wang, Shanshan Li

引用次数: 1

Vote-based Iris Detection System 基于投票的虹膜检测系统

Proceedings of the 2019 3rd International Conference on Digital Signal Processing Pub Date : 2019-02-24 DOI: 10.1145/3316551.3316558

Tong-Yuen Chai, B. Goi, Y. Tay, Yik-Herng Khoo

引用次数: 3

Analyzing the Malnutrition Valuation on Legazpi City using Data Analytics 用数据分析方法分析黎格斯比市营养不良评价

Proceedings of the 2019 3rd International Conference on Digital Signal Processing Pub Date : 2019-02-24 DOI: 10.1145/3316551.3316566

R. N. Monreal, T. Palaoag

{"title":"Analyzing the Malnutrition Valuation on Legazpi City using Data Analytics","authors":"R. N. Monreal, T. Palaoag","doi":"10.1145/3316551.3316566","DOIUrl":"https://doi.org/10.1145/3316551.3316566","url":null,"abstract":"A Data analytics predictive analysis aids to unlock the knowledge of the decision maker in the development of the organization to addressing the malnutrition in implementing government projects in the City of Legazpi, Philippines. Malnutrition is one of the results of poverty in the country mostly the younger age Filipinos. The study aims to apply Data Analytics in analyzing the factor that affects its malnutrition. The researchers evaluated the parameters that have significant contribution in deciding malnutrition. The correlation of the parameters in deciding malnutrition and the level of malnutrition per barangay in the city were also determined. The Rural Health Unit of Legazpi City collects the demographic data of the resident per barangay in determining malnutrition in city. A Data Analytics tool was used in extracting, classifying, analyzing and evaluating data that may cause malnutrition in the city. In the results, it shows that the attribute location under the coastal area is more significant in determining the malnutrition in the city. From these findings, the correlation analysis of the data shows that the malnutrition in the city of Legazpi has decreased by 0.24% over-all. However, in the coastal area increases by 0.3%. It is also show in the prediction analysis that the coastal area is significant to the malnutrition. The paper will lead to the Local Government Unit in addressing the factor of malnutrition increase and implement programs which are actually needed in solving the problem.","PeriodicalId":300199,"journal":{"name":"Proceedings of the 2019 3rd International Conference on Digital Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131687375","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

Hybrid CNNs: A Rotation Equivariant Framework for High Resolution Spherical Images 混合cnn:高分辨率球面图像的旋转等变框架

Proceedings of the 2019 3rd International Conference on Digital Signal Processing Pub Date : 2019-02-24 DOI: 10.1145/3316551.3316573

Wei Yu, Daren Zha, Nan Mu, Tianshu Fu

{"title":"Hybrid CNNs: A Rotation Equivariant Framework for High Resolution Spherical Images","authors":"Wei Yu, Daren Zha, Nan Mu, Tianshu Fu","doi":"10.1145/3316551.3316573","DOIUrl":"https://doi.org/10.1145/3316551.3316573","url":null,"abstract":"With the prevalence of virtual reality, augmented reality and autonomous robots, the high resolution spherical images they produced make the standard convolutional neural networks (CNNs), which have been proven powerful on perspective images, non-trivial. The classic solution to utilize CNNs on spherical images is to project the spherical images onto plane and learning the planar images using conventional CNNs. But the distortion generated by the projection of spherical images to planar images invalidates the projection based models. Besides, these models are not robust to rotations which are the basic transformation of spherical images. Another type of solution based on spherical harmonics recently proposed by Cohen et al. [1] is rotation equivariant, but can't handle high resolution spherical images with its expensive computational cost. To process high resolution spherical images, we proposed the Hybrid CNNs. Our framework is both computationally efficient and rotation equivariant with two kinds of convolution operations defined in this paper. We compared our method with several baseline models in two classification tasks. The experimental results demonstrate the computational efficiency and rotation equivariance of the Hybrid CNNs.","PeriodicalId":300199,"journal":{"name":"Proceedings of the 2019 3rd International Conference on Digital Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121191403","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

Lingual and Acoustic Differences in EWE Oral and Nasal Vowels 英语口语和鼻音元音的语言和声学差异

Proceedings of the 2019 3rd International Conference on Digital Signal Processing Pub Date : 2019-02-24 DOI: 10.1145/3316551.3316569

Kowovi Comivi Alowonou, Jianguo Wei, Wenhuan Lu, Zhicheng Liu, K. Honda, J. Dang

引用次数: 1

Embedding Based Cross-network User Identity Association Technology 基于嵌入的跨网络用户身份关联技术

Proceedings of the 2019 3rd International Conference on Digital Signal Processing Pub Date : 2019-02-24 DOI: 10.1145/3316551.3316571

Q. Miao, Lei Wang, Dingyang Duan, Xiaobo Guo, Xiang Li

{"title":"Embedding Based Cross-network User Identity Association Technology","authors":"Q. Miao, Lei Wang, Dingyang Duan, Xiaobo Guo, Xiang Li","doi":"10.1145/3316551.3316571","DOIUrl":"https://doi.org/10.1145/3316551.3316571","url":null,"abstract":"With the prosperity of online social networks, more and more users have multiple social accounts at the same time in heterogeneous social networks. Associating the same user identity between different social networks is beneficial for applications such as across-network information diffusion and cross-domain recommendation. User identity association across distinct social networks is to find accounts belonging to the same user without knowing the real identity of the users. Most of the existing identity correlation methods, including supervised learning and unsupervised learning methods, only use user's entity information in social networks, such as user attribute information and content information, nevertheless the inherent structural information of the networks is not fully used, so their effectiveness is often sensitive to the high dimension and sparsity of feature spaces. In this paper, we propose a novel model, called EUIA, which employs network embedding method to learn two low-dimensional representations of nodes of the two original networks respectively. Besides, we learn a mapping function across the learned two low-dimensional spaces, supervised by observed anchor links, for further predicting. In addition, we propose an effective optimization program to improve the accuracy of the model. Through experiments on the dataset of Facebook, we prove that the proposed EUIA model performs much better in accuracy than other baseline methods in cross-network user identity association problem.","PeriodicalId":300199,"journal":{"name":"Proceedings of the 2019 3rd International Conference on Digital Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128769964","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: 2

Food Image Recognition for Price Calculation using Convolutional Neural Network 基于卷积神经网络的食品图像识别价格计算

Proceedings of the 2019 3rd International Conference on Digital Signal Processing Pub Date : 2019-02-24 DOI: 10.1145/3316551.3316557

Md. Jan Nordin, Ooi Wei Xin, Norshakirah Aziz

引用次数: 6

Exploration and Mining of Multipurpose Cooperative Business Data 多用途协同商业数据的探索与挖掘

Proceedings of the 2019 3rd International Conference on Digital Signal Processing Pub Date : 2019-02-24 DOI: 10.1145/3316551.3316561

J. T. Trinidad

引用次数: 0