2020 5th International Conference on Computer and Communication Systems (ICCCS)最新文献_第5页

Image Classification and Detection of Cigarette Combustion Cone Based on Inception Resnet V2 基于Inception Resnet V2的卷烟燃烧锥图像分类与检测

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118570

Guoqing Deng, Yangguang Zhao, Long Zhang, Zhigang Li, Yong Liu, Yi Zhang, Bin Li

引用次数: 2

An Image Reconstruction For Electrical Capacitance Tomography Using Parametric Level Set 基于参数水平集的电容层析成像图像重建

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118589

Rui Li, Yongfu Zhang, Lihui Peng, X. Liao

{"title":"An Image Reconstruction For Electrical Capacitance Tomography Using Parametric Level Set","authors":"Rui Li, Yongfu Zhang, Lihui Peng, X. Liao","doi":"10.1109/ICCCS49078.2020.9118589","DOIUrl":"https://doi.org/10.1109/ICCCS49078.2020.9118589","url":null,"abstract":"Image reconstruction algorithm is essential for electrical capacitance tomography (ECT), which is still in the stage of popular research. With the development of image reconstruction algorithm, high-quality image is the key challenge for ECT all long. The paper proposes a kind of novel-image-reconstruction-algorithm for ECT using parametric level-set method to obtain high-image quality. Based on the relationship between dielectric constant distribution and capacitance value in the sensitivity area, parametric level set algorithm is capable of realizing absolute values ECT reconstruction. The paper presented simulation results of reconstructing the permittivity profiles of different water leakage using parametric level set method (PLS). Comparing with the state of the art image reconstruction algorithm, such as LBP regularization, landweber iterative algorithm and total variational regularization, the proposed method has better image quality, especially with high contrast multiphase data. PLS adopts Gaussian radial basis function (GRBF), which considerably reduces the number of unknowns. The parametric level set method can avoid the problem of regularization coefficients involved in the calculation process and reduce the Ill-posed Problem of image reconstruction. The proposed PLS method has demonstrated the superior image quality and better noise ratio (SNR).","PeriodicalId":105556,"journal":{"name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121375987","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: 1

Blockchain-Based IoT Application Using Smart Contracts: Case Study of M2M Autonomous Trading 使用智能合约的基于区块链的物联网应用:M2M自主交易案例研究

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118549

Xinglin Gong, Erwu Liu, Rui Wang

引用次数: 14

An Efficient Schedule Synthesis Method based on Constraint Programming Technology for Time-Triggered Ethernet 基于约束规划技术的时间触发以太网调度综合方法

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118453

Haiying Yuan, Tong Zheng, Kai Zhang, Yichen Wang

引用次数: 0

Automatic Arousal Detection Using Multi-model Deep Neural Network 基于多模型深度神经网络的唤醒自动检测

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118530

Ziqian Jia, Xingjun Wang, Xiaoqing Zhang, Mingkai Xu

引用次数: 1

Three-Dimensional Simulation of Nd:YAG Crystal Growth Based on Computational Fluid Dynamics Analysis Software 基于计算流体动力学分析软件的Nd:YAG晶体生长三维模拟

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118485

Jun-Feng Wang, Chuan-Wen Lin, Xue-You Hu, Liu Gang

引用次数: 0

Aggregated Time Series based Vehicular Traffic Path Recommendation 基于聚合时间序列的车辆交通路径推荐

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118575

H. Khairnar, B. Sonkamble

引用次数: 0

A Generalized Denoising Method with an Optimized Loss Function for Automated Bird Sound Recognition 基于优化损失函数的鸟类声音自动识别广义去噪方法

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118426

Huangqiang Fang, Yulin He, Wanyang Xu, Yanyan Xu, Dengfeng Ke, Kaile Su

{"title":"A Generalized Denoising Method with an Optimized Loss Function for Automated Bird Sound Recognition","authors":"Huangqiang Fang, Yulin He, Wanyang Xu, Yanyan Xu, Dengfeng Ke, Kaile Su","doi":"10.1109/ICCCS49078.2020.9118426","DOIUrl":"https://doi.org/10.1109/ICCCS49078.2020.9118426","url":null,"abstract":"In natural environments, bird sounds are often accompanied by background noise, so denoising becomes crucial to automated bird sound recognition. Recently, thanks to neural network embeddings, the deep clustering method has achieved better performances than traditional denoising methods, like filter-based methods, due to its ability to solve the problem when noise is in the same frequency range as bird sounds. In this paper, we propose a generalized denoising method based on deep clustering, which can process more complex recordings with less distortion. Also, we optimize the original affinity loss function to get a novel loss function to ensure the embedding vectors with the minimum distance belong to the same source, named Joint Center Loss (JCL), which can both increase the inter-class variance and decrease the intra-class variance of embeddings. Experiments are conducted on the gated convolutional neural network architecture and the bidirectional long short term memory architecture respectively with different loss functions. Given the signal-noise ratio being -3dB, the recognition accuracy increases relatively by 9.5% with the proposed denoising method in the best case, and the Relative Root Mean Square Error (RRMSE) increases relatively by 14.2% by using JCL, compared with the original affinity loss function AL.","PeriodicalId":105556,"journal":{"name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115402380","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: 1

An Efficient Data Compression Algorithm For Real-Time Monitoring Applications In Healthcare 用于医疗保健实时监控应用的高效数据压缩算法

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118600

Jawwad Latif, P. Mehryar, Lei Hou, Ali Zulfiqur

{"title":"An Efficient Data Compression Algorithm For Real-Time Monitoring Applications In Healthcare","authors":"Jawwad Latif, P. Mehryar, Lei Hou, Ali Zulfiqur","doi":"10.1109/ICCCS49078.2020.9118600","DOIUrl":"https://doi.org/10.1109/ICCCS49078.2020.9118600","url":null,"abstract":"Wireless sensor technology has revolutionised healthcare practices to deal with the increasing number of chronically ill patients. Real-time and continuous monitoring of health parameters can help in early diagnosis and timely treatment. Sensor nodes having limited resources in health monitoring systems are equipped with number of sensors which generates huge amount of data. An increase in data results in an increase in power consumption and memory requirement. An efficient data compression algorithm can be applied to reduce the power consumption and memory requirement. Minimalist, Adaptive and Streaming (MAS) algorithm proposed in literature can reduce significant power consumption during data transmission. In current work, MAS algorithm is further optimised to propose O-MAS-R algorithm by introducing R-bit to take advantage of consecutive repetition of data samples. MAS and O-MAS-R algorithms are applied on Electrocardiography (ECG), Electromyography (EMG) and accelerometer (Acc) datasets to compare the performance in terms of compression ratio (CR). O-MAS-R has shown 7.21 % average increase in CR of ECG datasets, 8.25% increase in EMG datasets and 45.24% increase in Acc datasets as compare to MAS algorithm.","PeriodicalId":105556,"journal":{"name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124189254","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: 5

Markov Encrypted Data Prefetching Model Based On Attribute Classification 基于属性分类的马尔可夫加密数据预取模型

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118433

Zhengbo Chen, Liu Xiu, Xing Yafei, Hu Miao, Xiaoming Ju

引用次数: 0